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REVIEW article

Front. Neurol., 28 September 2023
Sec. Neurogenetics
This article is part of the Research Topic Preclinical Research in Neurodegenerative Diseases: Biochemical, Pharmacological, and Behavioral Bases View all 5 articles

Senolytic and senomorphic secondary metabolites as therapeutic agents in Drosophila melanogaster models of Parkinson’s disease

Sean J. MillerSean J. Miller1Rayyan Y. DarjiRayyan Y. Darji1Sami WalaiehSami Walaieh2Jhemerial A. LewisJhemerial A. Lewis2Robert Logan
Robert Logan2*
  • 1Department of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, CT, United States
  • 2Department of Biology, Eastern Nazarene College, Quincy, MA, United States

Drosophila melanogaster is a valuable model organism for a wide range of biological exploration. The well-known advantages of D. melanogaster include its relatively simple biology, the ease with which it is genetically modified, the relatively low financial and time costs associated with their short gestation and life cycles, and the large number of offspring they produce per generation. D. melanogaster has facilitated the discovery of many significant insights into the pathology of Parkinson’s disease (PD) and has served as an excellent preclinical model of PD-related therapeutic discovery. In this review, we provide an overview of the major D. melanogaster models of PD, each of which provide unique insights into PD-relevant pathology and therapeutic targets. These models are discussed in the context of their past, current, and future potential use for studying the utility of secondary metabolites as therapeutic agents in PD. Over the last decade, senolytics have garnered an exponential interest in their ability to mitigate a broad spectrum of diseases, including PD. Therefore, an emphasis is placed on the senolytic and senomorphic properties of secondary metabolites. It is expected that D. melanogaster will continue to be critical in the effort to understand and improve treatment of PD, including their involvement in translational studies focused on secondary metabolites.

1. Introduction

Parkinson’s disease (PD) is a neurodegenerative disorder that affects dopaminergic neurons in the substantia nigra pars compacta (SNpc) of the central nervous system (CNS). A key component in the development of PD is the formation of Lewy bodies (1). These are insoluble aggregates of misfolded alpha-synuclein (α-Syn) protein fibrils, among other components. Lewy bodies accumulate within neurons and contribute to their death. The degeneration of SNpc dopaminergic neurons leads to a pathologic reduction of dopamine at the striatum. As a result, individuals with PD experience motor symptoms like resting tremors, slowness of movement (bradykinesia), erratic and writhing movements of the face, arms, legs, or trunk (dyskinesia), rigidity, stiffness, postural instability, and compromised balance (2). Additionally, people with PD have non-motor symptoms, including cognitive changes, sleep disorders, autonomic dysfunction, gastrointestinal issues, and mood disorders (3).

PD is thought to be caused by a combination of genetic and environmental factors, with only around 10% of people with PD having one of the identified genetic mutations, such as SNCA (Synuclein Alpha), PINK1 (PTEN Induced Kinase 1), and PRKN (Parkin RBR E3 ubiquitin protein ligase) (4). A study by Goldman et al. investigating the genetic contribution to PD risk using concordance rates in monozygotic and dizygotic twins found the hereditability of PD to be around 27%, further suggesting that nongenetic factors may be the more predominant sources of PD risk (5).

In addition to genetic contributions, environmental toxins have been associated with PD, including pesticides such as rotenone and paraquat, can enter the human body through various routes, including inhalation, ingestion of residues in food and water, and dermal exposure. Epidemiologic studies have commonly found that PD is correlated with farming and rural environments due to exposure to pesticides and herbicides (6, 7).

Medical management of PD is a significant challenge, as existing therapies have limited effectiveness and undesirable side effects. For example, dyskinesia is a common side effect of long-term use of levodopa, the most common medication used to manage PD (8). This form of dyskinesia, known as levodopa-induced dyskinesia (LID), can make it difficult for an individual to perform routine tasks of daily living. Therefore, alternative therapeutic agents that can effectively target the underlying mechanisms of PD without causing significant adverse effects are greatly needed and highly sought after. One approach to addressing this need is exploring the therapeutic potential of secondary metabolites in pre-clinical Drosophila melanogaster models of PD.

D. melanogaster, colloquially referred to as the fruit fly, is a valued and versatile model organism. For example, it exhibits a relatively simple biology with a well-characterized genome, anatomy, and molecular pathways that are also well-conversed within higher organisms, including humans (9). Their biological simplicity facilitates relatively easy and precise genetic manipulation. Therefore, they have been indispensable in the study of genetics, disease mechanisms, and the identification of novel therapeutic targets. Finally, D. melanogaster have short gestation periods and a high reproductive capacity, enabling rapid experimental turnover, large-scale genetic screens, and developmental research (10). This feature is particularly advantageous for studying the effects of genetic alterations or environmental factors over successive generations. Practically, it also offers cost-effectiveness, with relatively low financial and time costs associated with maintenance and experimentation (11, 12).

Secondary metabolites, sometimes referred to as phytochemicals or bioactive compounds, are natural products extracted from plants. These metabolites are not essential for the plant’s growth, development, or reproduction. Instead, they are produced by plants as a defense mechanism against external threats such as UV radiation, predators, and pathogenic microorganisms (13). Secondary metabolites have been compiled into four groups based on their chemical structure: terpenoids, phenylpropanoids, polyketides, and alkaloids (14). Examples of terpenoids include limonene from the rind of lemons and oranges, menthol from peppermint, and taxol from the Pacific yew tree, which is used in chemotherapy. Phenylpropanoids (phenolics) are compounds such as curcumin from turmeric, resveratrol from grapes, and capsaicin from chili peppers (15). Polyketides are complex and usually have antibiotic or anticancer properties. Examples include the antibiotic erythromycin and the chemotherapeutic agent doxorubicin. Lovastatin is a polyketide used for lowering cholesterol (16). Examples of the fourth classification, alkaloids, include morphine from opioid poppies, quinine from Cinchona trees, and caffeine from coffee beans (17).

2. Overview of relevant Drosophila melanogaster models of PD

There are two broad categories of D. melanogaster models of PD – those made through genetic manipulation and those that are toxin-induced. In genetic models, PD-associated genes can be knocked down or overexpressed to highlight their effects on phenotype and risk. Toxin models involve either an acute dose or chronic dosing. Sublethal, chronic dosing closer reflects the natural progressive course of neurodegeneration and is not as likely to prematurely kill the flies when compared to the more convenient acute dose method. Toxin models are better suited for studying the potential environmental impacts on PD risk and development, whereas genetic models provide valuable insights into familial cases. In both genetic and toxin models, the role of oxidative stress and mitochondrial dysfunction in dopaminergic neuronal degeneration is notable.

2.1. SNCA

D. melanogaster models of PD have been able to faithfully recreate some of the key features of the disease, including the formation of α-Syn aggregates into Lewy bodies and the loss of dopaminergic neurons. Among the pathological conditions that can act as an impetus for α-synucleinopathy is the overexpression of α-Syn itself. However, D. melanogaster do not have a homolog for the human gene that encodes for α-Syn, namely, SNCA (18). However, induced transgenic overexpression of human α-Syn in D. melanogaster has been achieved using various approaches, including the Gal4-upstream activating system, which allows for tissue-specific and inducible expression of transgenes (18).

Transgenic models that overexpress human α-Syn provide opportunities to study Lewy body formation and potential therapeutic interventions. The D. melanogaster transgenic α-Syn model has demonstrated that α-Syn overexpression leads to progressive locomotor impairments, including reduced climbing ability and impaired flight, reminiscent of motor deficits observed in PD patients (19, 20). Furthermore, α-Syn overexpression in D. melanogaster leads to the formation of intracellular aggregates and the loss of dopaminergic neurons, mimicking the neurodegenerative process observed in PD (20). At the molecular level, these models have shown that α-Syn-induced neurodegeneration involves oxidative stress, mitochondrial dysfunction, impaired protein degradation pathways, and synaptic dysfunction (21). Furthermore, genetic modifiers that enhance or suppress α-Syn-induced toxicity have been identified in D. melanogaster, which underscores the intricate genetic interactions of PD pathology and highlights potential therapeutic targets (22).

2.2. PINK1 and PRKN

Genetic mutations in PINK1 and PRKN are the most commonly known causes of early-onset familial PD, and these mutations are also linked to sporadic forms of PD (23, 24). Both genes have been identified as critical regulators of mitochondrial quality and function within the same biological pathways (25). When a mutation in either of these genes stops them from functioning normally, mitochondria become dysfunctional and fail to be cleared. Significantly, manipulating these genes in D. melanogaster mimics the cellular pathophysiology of PD.

For example, loss-of-function mutations in PINK1, by either disrupting gene expression or protein function, have been extensively studied using D. melanogaster as a model organism. Indeed, the first in vivo report of PINK1 manipulation was conducted in D. melanogaster (26). This seminal study and other early work revealed that a loss of the D. melanogaster PINK1 homolog (CG4523) results in fragmented mitochondria, reduced ATP levels, muscle degeneration, locomotor deficits, dopaminergic neuronal loss, male sterility, and increased sensitivity to oxidative stress (27, 28). These effects are reversible by the expression of human PINK1 or with overexpression of PRKN (26). Furthermore, D. melanogaster that overexpress PINK1 demonstrate improved mitochondrial function, enhanced resistance to oxidative stress, preserved dopaminergic neuronal survival, and a longer lifespan compared to wild type controls (2931). The use of PINK1 and PRKN genetic models in D. melanogaster has yielded several key findings regarding the molecular mechanisms of PD pathogenesis, such as the importance of maintaining mitochondrial homeostasis and protecting against cellular stress.

Loss-of-function mutations in PRKN (a.k.a. PARK2) in D. melanogaster, either by knockout or RNAi knockdown, leads to the disruption of mitochondrial function, increased cellular sensitivity to oxidative stress, and phenotypical locomotor defects, similar to the clinical features of PD (32, 33). Furthermore, studies using PRKN overexpression in D. melanogaster have elucidated the protective effects of Parkin (the protein product of PRKN) on mitochondrial function and cell viability. For example, PRKN overexpression enhances mitochondrial quality control mechanisms, such as mitophagy, promotes the elimination of damaged mitochondria, delays aging, extends the lifespan, and protects against senescence in D. melanogaster (34). Moreover, PRKN overexpression in D. melanogaster can rescue mitochondrial defects caused by other genetic mutations or environmental stressors (35). These findings suggest that Parkin plays a crucial role in maintaining mitochondrial homeostasis and protecting against the neurodegenerative processes in PD.

The aforementioned genetic models have been chosen for discussion because they have been used to study the effects of senolytic secondary messengers. However, there are other important D. melanogaster genetic models of PD. For example, D. melanogaster that harbor mutations in either the dominant genes for glucocerebrosidase (GBA) or vacuolar protein sorting 35 (VPS35) or in the recessive gene DJ-1 produce phenotypes similar to those observed in idiopathic PD (36). It is important to note some genes implicated in PD pathology can play different roles in dopaminergic neuron degeneration depending on the specifics of the model used (37). Therefore, it is critical to be mindful that while neurodegeneration might be morphologically and behaviorally identical in many distinct experimental contexts, the underlying genetic pathways and cellular programs might differ.

2.3. Rotenone

A commonly used toxin for D. melanogaster models of PD is rotenone, a naturally occurring pesticide implicated in the development of sporadic PD (38). Rotenone has lipophilic properties that allow it to readily cross the blood–brain barrier (BBB) (39). The mechanism of action of rotenone involves inhibiting the function of complex I in the mitochondrial electron transport chain, leading to pathologically high oxidative stress, neuronal dysfunction, and, eventually, cell death (40, 41). A study by Sherer et al. demonstrated that chronic rotenone exposure to human neuroblastoma cells causes complex I inhibition and may lead to the accumulation and aggregation of α-synuclein (42). Exposure to rotenone has also been shown in vitro to lead to endoplasmic reticulum stress and to be associated with the unfolded protein response (43). The chronic administration of rotenone to D. melanogaster results in the selective loss of dopaminergic neurons, the formation of protein aggregates similar to Lewy bodies, and locomotor deficits (44, 45). Therefore, this model exhibits all the classic pathological features of PD.

2.4. Paraquat

Paraquat (1,1′-dimethyl-4,4′-bipyridinium dichloride) is an herbicide with sweeping, nonspecific weedkilling properties. It has been used in more than 100 countries to protect crops such as cotton, cocoa, tobacco, soybean, rice, and others (46). In the context of its intended agricultural use, paraquat is generally considered safe when applied following recommended guidelines and safety precautions (47). However, it can easily seep into groundwater and has been detected in harvested fruits and vegetables, which raises environmental and food safety concerns (47). Paraquat has also been shown to be highly toxic for fish, algae, and mammals, even at low levels (46).

The toxicity of paraquat is attributed primarily to its role in producing noxiously high levels of reactive oxygen species (ROS). Through redox-cycling reactions, paraquat is taken up by mitochondria and reduced by nicotinamide adenine dinucleotide phosphate (NADPH) to produce the highly reactive superoxide (O2) anion (4850). In addition, O2 can subsequently lead to a rise in toxic ROS, such as hydrogen peroxide (H2O2) and hydroxyl radicals (HO•), which cause extensive oxidative damage to cellular components such as DNA, lipids, and proteins. Paraquat exposure has also been associated with damage to complex I of the electron transport chain, which also increases ROS burden (51). Furthermore, studies have shown that paraquat increases the levels of p53 protein and its downstream target genes, such as the pro-apoptotic protein, Bax (51). Finally, paraquat induces cellular senescence, a critical component of PD pathology (52, 53). Oxidative stress, its associated cellular dysfunction, senescence, and apoptosis are key pathological hallmarks of PD. Although environmental exposure to paraquat has been widely linked to an increased risk of PD, some epidemiological studies do not show a correlative relationship (54, 55).

D. melanogaster treated with paraquat experience elevated oxidative stress-induced lipid peroxidation in the brain, evidenced by increased quantities of the end product of lipid peroxidation, namely malondialdehyde (56). In addition, the quantity of O2 and H2O2 in the brains of D. melanogaster dramatically increases between 2 and 4-fold in response to paraquat-induced oxidative stress (56, 57). Concurrently, the activity of antioxidant enzymes, such as superoxide dismutase (SOD), is significantly reduced in paraquat-treated D. melanogaster models of PD, which exacerbates the rate and extent of cellular damage caused by paraquat-induced oxidative stress (56). However, some studies show the opposite trend of SOD activity increasing in paraquat-treated D. melanogaster, presumably as a defense mechanism (57). Indeed, SOD activity was shown to be elevated in the substantia nigra and basal ganglia of postmortem brains of PD patients (58). Similarly, the transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) is a critical regulator of the cellular response to oxidative stress (59). Nrf2 mRNA expression increases in paraquat-treated D. melanogaster just as it does in leukocytes and dopaminergic neurons of PD patients (60, 61). These results suggest that despite an attempt by cells to protect themselves from oxidative stress, disease ensues when their efforts are insufficient. Beyond oxidative stress, apoptosis, and mitochondrial dysfunction, D. melanogaster paraquat models replicate other PD-relevant pathology, such as elevated nitrosative stress, impaired dopamine metabolism, reduced brain-derived neurotrophic factor, and heightened endoplasmic reticulum stress (62).

2.5. MPTP and 6-OHDA

1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) is another commonly used toxin for mimicking PD pathology and behavior, as it specifically targets dopaminergic neurons in the substantia nigra. MPTP is converted in vivo to 1-methyl-4-phenylpyridinium (MPP+) by monoamine oxidase-B. MPP+ is then taken up by dopaminergic neurons via the dopamine transporter and interferes with mitochondrial function, leading to cell death. Although not as commonly used as paraquat or rotenone, MPTP has successfully been used in D. melanogaster models of PD to study the dopaminergic neuroprotective properties of resveratrol and trans-astaxanthin (63, 64). 6-Hydroxydopamine (6-OHDA) is another commonly used toxin to induce PD-like pathology. Although widely used in rodent models, it has rarely been used in D. melanogaster models. 6-OHDA cannot pass the BBB, therefore necessitating an injection to the brain. Due to D. melanogaster anatomy, this is not a favorable model (65). The mechanism of action of 6-OHDA involves entering catecholaminergic neurons through dopamine membrane transporters (DAT) or noradrenaline membrane transporters (NAT) and accumulating intracellularly (66). The metabolism of 6-OHDA by monoamine oxidase-A yields H2O2, triggers the generation of ROS, and inhibits complex I of the electron transport chain (67).

There are other toxins used to produce PD-related phenotypes. For example, D. melanogaster exposure to iron (Fe) induced PD-like motor and non-motor symptoms, which were attenuated by the co-administration of hesperidin, a citrus flavonoid (68). Hesperidin was more effective than L-DOPA at protecting against motor coordination, memory, and anxiety deficits, in addition to reducing the concentration of caudal Fe (68).

3. Senolytic and senomorphic secondary metabolites in Drosophila melanogaster models of PD

Senescence is a complex phenomenon of irreversible growth arrest in cells. It plays a crucial role in various stress responses, aging processes, and chronic disease. Multiple factors contribute to the development of senescence, such as DNA damage, telomere shortening, oncogenesis, oxidative stress, and inflammation (69, 70). The accumulation of senescent cells in tissues is both a consequence and a contributing factor of age-related pathologies, therefore feeding into a positive feedback loop of increasing pathology (53). For instance, senescent cells secrete a molecular cocktail of proinflammatory cytokines, chemokines, and tissue-damaging proteases known collectively as the senescence-associated secretory phenotype (SASP). Although SASP is an initial protective mechanism against foreign entities, it can also exacerbate chronic inflammation and contribute to tissue dysfunction (53, 71).

Secondary metabolites are organic compounds that are not directly involved in the growth, development, and reproduction of an organism. Instead, they play important roles in various physiological processes such as defense against predators, competition for resources, and communication among organisms (72). Secondary metabolic pathways are also diverse within and across organisms. Often, they are enzymatically derived from primary metabolites, intermediates in primary metabolism, or are unique metabolic precursors. Plants are a common source of secondary metabolites used for health and wellness. The biosynthesis and storage of plant secondary metabolites occur in structures such as vacuoles, glandular trichomes, cuticles, and oil cells (73).

There are several secondary metabolites that have demonstrated potential in treating PD. Capsaicin, an active compound from chili peppers, was seen to protect dopaminergic neurons in PD mouse models by supporting mitochondrial function and inhibiting neuroinflammation (74). Berberine, an isoquinoline alkaloid from Chinese herbs, has shown potential in PD treatment through its antioxidant, anti-inflammatory, and anti-apoptotic effects (75). Caffeine, commonly contained in coffee and tea, has been studied for its neuroprotective effects in modulating adenosine receptors and reducing neuroinflammation, potentially providing protection against PD progression (76). The naturally produced alkaloid nicotine, found in small quantities in certain foods, has exhibited neuroprotective effects on dopaminergic neurons to modulate neurotransmitter systems affected in PD (77). Each of these compounds has shown promise in preclinical studies using D. melanogaster models, and some have moved to clinical trials (7880).

Senolytic secondary metabolites selectively target senescent cells for induced apoptosis or programmed death, ultimately leading to their clearance from tissues and possible replacement with healthy cells (81). Senolytics have shown exciting promise in pre-clinical and clinical studies for their ability to enhance tissue regenerative capacity and alleviate age-related pathologies (82). While the relatively nascent study of senolytic secondary metabolites in the treatment of neurodegeneration is still evolving, several bioactive compounds have shown encouraging neuroprotective properties through their senolytic activity.

The mechanism of action and efficacy of senolytic secondary metabolites vary depending on the metabolite and cellular environment (81, 83, 84). For example, in response to cellular stress, some senolytic secondary metabolites will activate either the intracellular p53 or P16INK4A pathways, leading to a senescent cellular state (85). Other secondary metabolites act through senescence-associated vulnerabilities, exploiting specific characteristics or dependencies of senescent cells. These vulnerabilities include altered metabolic profiles, increased reliance on anti-apoptotic proteins, or dysregulated stress response pathways (86). By targeting these vulnerabilities, senolytic secondary metabolites can induce senescent cell death while sparing healthy cells. Furthermore, secondary metabolites often possess anti-inflammatory and antioxidant properties, which can contribute to their overall therapeutic effects. By reducing the inflammation and oxidative stress associated with SASP, these compounds can potentially attenuate the damaging effects of senescent cells on surrounding tissues without being true senolytics and are, instead, senomorphics (8790).

Senomorphic secondary metabolites mitigate the detrimental effects associated with senescent cells rather than selectively eradicating them. Compared to senolytics, they are a recently recognized behavioral class of cells that has not received as much attention. For example, a default PubMed search for “senolytic” returns about 1,165 items – beginning in 2014. In contrast, a default PubMed search for “senomorphic” returns about 75 items – beginning in 2019. However, there is a growing body of evidence that is illuminating their mechanisms of curtailing the pro-inflammatory SASP. Therefore, they have emerged as promising candidates for novel therapeutic interventions in age-related diseases, including cancer, neurodegenerative disorders, and cardiovascular diseases. By harnessing the power of senescence modulation, senomorphic secondary metabolites offer a nuanced approach to counteract the detrimental effects of cellular senescence, promoting tissue rejuvenation and potentially extending healthspan. Further research into the mechanisms underlying the senomorphic effects of these compounds is warranted.

There are many classifications and subclasses of secondary metabolites based on their chemical architecture and biosynthetic pathways. The currently known senolytic secondary metabolites are broadly categorized as either phenolic compounds or alkaloid compounds (91).

Phenolics have one or more aromatic rings with one or more hydroxyl groups and are products of phenylpropanoid metabolism, downstream of the shikimic acid and malonic acid pathways (92). The flavonoid subclass of phenolic compounds is the most abundant type found in fruits and vegetables and contains six subfamilies: flavones, isoflavones, flavonols, flavanones, flavan-3-ols, and anthocyanidins (92).

Alkaloids are characterized by a nitrogen-containing heterocyclic ring and are derived from several metabolic pathways (93). For example, the shikimate pathway produces aromatic amino acids that serve as metabolic precursors to many alkaloids. The shikimate pathway also directly produces some alkaloids in addition to the terpenoid pathway. The polyketide pathway, like the shikimate pathway, provides many alkaloid precursors (94).

3.1. Quercetin

Quercetin is a senolytic phenolic compound of the flavonoid class, flavonol subfamily. Flavonols are the most ubiquitous flavonoid and have high concentrations in onions, grapes, cherries, apples, citrus fruits, and tomatoes (95). Since quercetin is the main flavonol representative, it has been extensively studied for its health-related benefits, including its antioxidant, anti-inflammatory, anti-microbial, and senolytic properties (53, 9698). Quercetin’s senolytic activity includes inducing apoptosis of senescent cells, mitigating the effects of SASP, providing a robust antioxidant capacity either directly or by increasing glutathione levels, and activating autography to clear senescent cells (95, 99, 100). Therefore, it demonstrates both pure senolytic and senomorphic properties.

Silkworms have been used for medicinal purposes for more than 5,000 years. Silkworm extract has been used in treating diabetes, liver disease, and hypertension, even demonstrating the ability to regenerate axons and promote Schwann cell proliferation (101). Mature silkworms can be steamed, freeze-dried, and then processed into the ingestible Hongjam (102). Hongjam contains high levels of flavonoids, the most abundant of which is quercetin (103). In a recent study, normal D. melanogaster feed was supplemented with golden-silkworm Hongjam (GSHJ), which extended their lifespan and the length of time they voluntarily engaged in locomotion (102). Furthermore, GSHJ was protective against the PD phenotype of rotenone-treated D. melanogaster. For example, it prevents the onset and progression of rotenone-induced motor control deficit (102). The neuroprotective mechanisms of Hongjam are attributed in part to its enhancement of the electron transport chain activity (mitochondria complexes I through IV). Additionally, consumption of the GSHJ supplemented diet suppressed autophagy signaling and UPR signaling, both of which are necessary to establish senescence (104107). Hongjam also has anti-inflammatory properties, reducing cytokine levels (108).

Blue light irradiation is toxic to D. melanogaster by increasing oxidative stress and accelerating their aging (109). In a recent study, D. melanogaster exposed to blue light irradiation and quercetin treatment experienced a quercetin-mediated reduction of senescent cells, decreased protein content in males, and decreased lipid content in females (110). Behaviorally, quercetin improved lifespan and extended the time the flies voluntarily engaged in motor activity, which the authors interpreted as the health span. Quercetin also improved their heat stress survival, increased male activity levels, and boosted female egg production (110). Although blue light caused oxidative stress, senescence, and pre-mature aging in D. melanogaster, it did not specifically lead to a PD model. However, neurodegeneration, at least in the early stages of the disease, shares many of the physiological changes associated with increased oxidative stress, inflammation, and senescence.

Similarly, D. melanogaster that have been treated with H2O2 also experience pathological levels of oxidative stress, disrupted redox homeostasis, and exhibit signs of general stress such as significantly elevated levels of Upd1, a homolog of IL-6 (111). Additionally, H2O2 treatment of D. melanogaster increases the expression of stress-related genes, the synthesis of heat shock protein-70 (Hsp70), and neuronal apoptosis caused by nitric oxide (NO) (111, 112). Quercetin treatment of D. melanogaster exposed to H2O2 nearly completely neutralizes the increase in Hsp70 and Upd1, in addition to preserving performance on the negative geotaxis assay (111). Furthermore, quercetin mitigates H2O2-driven increased levels of protein carbonyls and thiobarbituric reactive substances, which serve as general indicators of oxidative stress. Accordingly, quercetin rescues the reduced level of antioxidants superoxide dismutase, glutathione, and catalase generated by H2O2 exposure (111). As with blue light, H2O2 does not specifically lead to a PD model of D. melanogaster. However, these results have translational value with neurodegeneration.

D. melanogaster exposed to acute and sub-acute doses of paraquat have also been used to investigate the PD-specific neuroprotective properties of quercetin. Either H2O2 or paraquat exposure can be sufficient to induce cellular senescence related to PD pathology. The mechanism of action for these toxins includes the initiation of DNA damage, compromised proteostasis, neuroinflammation, and oxidative stress (52, 113115). The neuroprotective capabilities of the secondary metabolites 4-hydroxyisophthalic acid, ellagic acid, and quercetin, in addition to the primary metabolite nicotinamide – a precursor to the coenzyme nicotinamide adenine dinucleotide – have been compared (116, 117). All four of these compounds improved the survival rates of D. melanogaster in a dose-dependent manner after the flies had been exposed to an acute, high dose of paraquat. However, males had a better overall survival rate per antioxidant. Furthermore, the ability of quercetin to preserve mortality was greater in males (116). Among the metabolites, nicotinamide had the greatest effect on females (116). In the sub-acute paraquat exposure model, all bioactive compounds improved performance on the negative geotaxis assay, reduced ROS levels, reduced lipid peroxidization levels, protected against glutathione depletion, and the activity of superoxide dismutase and catalase. There was no appreciable difference in the benefits of 4-hydroxyisophthalic acid, quercetin, and nicotinamide, where ellagic acid was overall the least protective (116).

The mechanisms of quercetin’s neuroprotective properties have been further studied beyond D. melanogaster PD models. For example, in 6-OHDA treated rats and PC12 cell culture, quercetin is shown to be a powerful antioxidant, can upregulate PINK1 and Parkin, protects mitochondria from damage, and inhibits α -Syn accumulation (118). Furthermore, quercetin disaggregates α -Syn fibrils through covalent bonding with α -Syn fibrils rather than through antioxidant activity (119). Quercetin covalently bonds to α -Syn fibrils, oligomers, or monomers, which increases their hydrophilicity. Therefore, the fibrillation of α -Syn and subsequent aggregation is inhibited (119). Excitatory cells of the cerebellum that have been treated with H2O2 experience nuclear translation of Nrf2 and increased expression of glutathione when exposed to quercetin (120). Finally, in silico molecular docking experiments have revealed that the active sites of monoamine oxidase-B stably interact with quercetin, suggesting that quercetin could prevent increased ROS production and oxidative stress associated with the upregulation of monoamine oxidase-B in PD (121).

3.2. Fisetin

Fisetin is a senolytic phenolic compound of the flavonoid class, flavonol subfamily. It is one of the most abundantly available and studied flavonols (122). Fisetin is found in various fruits and vegetables and is predominant in strawberries, apples, and onions. Like all flavonoids, its biosynthesis begins with the shikimate pathway, which feeds into the phenylpropanoid pathway to produce phenylalanine, and then begins flavonoid biosynthesis after converting to 4-coumaroyl-CoA (123). Fisetin has been extensively studied for its wide-ranging medicinal applications, including its senolytic effects (124).

In a study by Jhonsa et al., a paraquat-treated D. melanogaster model of PD experienced a diminished lifespan and negative geotaxis assay performance in a dose-dependent manner, spanning from 5 mM to 15 mM (125). At the 15 mM dose of paraquat, mortality was 100% within 24 h. L-DOPA treatment at 2 mg/mL improved survival among the 15 mM paraquat-treated D. melanogaster to more than 35% at the 24-h mark. However, treatment of 2.8 mg/mL fisetin boosted the survival rate to more than 45%. Fisetin also rescued locomotor deficits on the negative geotaxis assay to about 90% of the control, whereas L-DOPA improved performance to only about 75% of the control. Fisetin treatment also rescued glutathione, catalase, and superoxide dismutase quantity and the enzymatic activity of acetylcholine esterase (AChE). Consequently, fisetin facilitated reduced ROS accumulation compared to L-DOPA treatment and control. L-DOPA was not as effective as fisetin in all parameters assayed, except for rescuing AChE activity, where it dramatically outperformed fisetin (125).

In a related study, a cell culture model of PD (human neuroblastoma SH-SY5Y cells treated with 6-OHDA) experienced increased expression of several genes related to oxidative stress. However, their expression was suppressed by fisetin in a dose-dependent manner (126). Furthermore, fisetin decreased the 6-OHDA mediated increase in ROS production, cell death driven by apoptosis, and cell death driven by P13K–Akt signaling (126). Unfortunately, outside of the therapeutic range, fisten is cytotoxic at concentrations of 50 μ M and 100 μ M, whereas 6-OHDA was severely cytotoxic at only 10 μ M. At 50 μ M of either 6-OHDA or fisetin, lactate dehydrogenase levels rose significantly, indicating cell damage (126).

Fisetin’s antioxidant, neuroprotective, and senolytic effects have been demonstrated in other aged and neurodegenerative models. For example, D. melanogaster ALS models that express hSOD1G85R (the mutated version of human SOD1), develop rapid and late-onset ALS symptoms (127). Compared to the control, D. melanogaster hSOD1G85R that received fisetin treatment experienced longer lifespan, longer health span, curbed ROS production, stabilized redox homeostasis, reduced the levels of wild type and mutated hSOD1 protein, and improved motor skills (127). A part of fisetin’s mechanism of action is to increase the expression of the extracellular signal-regulated kinase (ERK) pathway, which upregulates a variety of genes in antioxidant systems. This action of fisetin has also been shown in AD mouse models, D. melanogaster and mouse models of Huntington’s disease, and other ALS models (128130). Finally, in naturally aged mice and in mouse models of progeroid syndrome, which exhibit tumor suppressant and senescent characteristics due to the addition of a p16INK4a-luciferase reporter, fisetin was the most potent senolytic out of nine other tested flavonoids (124).

3.3. Curcumin

Curcumin is a senolytic phenolic compound of the polyphenol class, curcuminoid subfamily. Curcumin is responsible for the distinctive yellow color of the spice turmeric, which is derived from the rhizomes of the Curcuma longa plant. The biosynthesis of curcumin involves the conversion of feruloyl-CoA and malonyl-CoA to feruloyldiketide-CoA via diketide-CoA synthase (131). Curcumin is then synthesized via curcumin synthase combining feruloyldiketide-CoA and feruloyl-CoA (131).

The health benefits of curcumin include potent anti-inflammatory, antioxidant, anti-apoptotic, and immunomodulatory properties, which have been observed in both animal and clinical studies (132, 133). Considerable attention has been shown to curcumin due to its anticarcinogenic, antidepressant, cardioprotective, and neuroprotective applications, among other clinical benefits (133135). There is robust evidence that curcumin suppresses the pro-inflammatory cytokines IL-1, IL-1β, IL-4, IL-5 IL-6, IL-8, IL-10, IL-12p70, IFNγ, MCP-1, and TNF-α (133, 136, 137). It also reduces the total and differential white blood cell count, reduces iNOS mRNA levels, inhibits the COX-2 enzyme, and increases BDNF production. Furthermore, curcumin inhibits NF-κB signaling, suppresses the MAPK pathway, stimulates the BDNF/tyrosine kinase receptor B/PI3k/Akt pathway, as well as the PI3k/Akt/GSK3 pathway (133, 136138).

Curcumin targets senescent cells for clearing. The senolytic capacity of curcumin has been demonstrated in a variety of contexts and cell types (136, 139, 140). Additionally, the curcumin analog, EF24, is a strong senolytic that induces apoptosis of senescent cells through Bal-2 proteasome degradation, independent of producing ROS (141). Other curcumin analogs have been identified, such demethoxycurcumin, bisdemethoxycurcumin, calebin A, C1, and A13 (142). Intriguingly, it has been suggested that the senolytic-related benefits of curcumin are actually senomorphic in nature, due to its activation of sirtuins and AMPK rather than directly inhibiting and removing senescent cells (143).

Sulforaphane (from broccoli seed extract) and curcumin extend the lifespan of male and female D. melanogaster individually. Synergistically, they extend the lifespan even greater than either alone (144). A concoction of two parts curcumin and five parts broccoli seed extract at a concentration of 0.8 g/L yielded the greatest improvement in lifespan extension of about 20 days. RNA-Seq analysis of brain tissue revealed that the phytochemical blend either upregulated or downregulated about 70 genes, which was confirmed with qPCR. Downregulated genes were the majority and had the greatest differential expression. KEGG and GO analysis of the top hits confirmed that the downregulated genes would confer longevity and altered metabolism. RNAi knockdown of the top deferentially expressed genes confirmed that they were neuroprotective against age-related dopaminergic degeneration. Furthermore, in the protocerebral posterior medial bundle, the number of dopaminergic neurons increased. Finally, RNAi knockdown of the top candidate genes preserved the lifespan of D. melanogaster that were treated with paraquat (144).

α -Syn misfolding and aggregation is a pathological hallmark of PD. The N-terminus is a PD mutation hotbed, the C-terminus is intrinsically disordered, and the central hydrophobic “non-amyloid-β-component” (NAC) is the domain that binds with other α -Syn proteins to self-aggregate (53). Small soluble oligomers are formed early in the aggregation cycle and are more toxic than the large, mature fibrils that accumulate in Lewy bodies (145). Therefore, preventing α -Syn is a critical strategy for mitigating α -Syn fibrillation. A recent molecular dynamics in silico study argues that curcumin has the capacity to destabilize soluble α -Syn oligomers by binding to the hydrophobic region to increase oligomer root-mean-squared deviation and radius of gyration, and to reduce β-sheet content and the number of backbone hydrogen bonds (146). Together, these results confirm that curcumin can biochemically prevent α -Syn fibrillation and aggregation into Lewy bodies. Previous in vivo and in vitro studies have suggested that curcumin can inhibit α -Syn aggregation (147, 148).

dUCH is a D. melanogaster homolog of the human UCH-L1 gene that is exclusively expressed in CNS neurons and is involved in ubiquitin-proteasome activity (149). In PD, mutated UCH-L1 colocalizes with α -Syn in Lewy bodies and enhances α -Syn aggregation (150152). In normal physiological conditions, UCH-L1 prevents the fibrillation and aggregation of α -Syn, and also inhibits the synthesis of monoamine oxidase-B, leading to increased dopamine levels (142, 153). Knockdown of dUCH in D. melanogaster adults and larvae caused elevated ROS in the eye imaginal discs and dopaminergic neurons (154). Conversely, curcumin treatment reduced ROS levels 0.6-fold in eye imaginal discs and 0.5-fold in adult brains. The performance of the larval crawling assay and adult climbing assay was also negatively impacted by dUCH knockdown. Interestingly, dUCH knockdown larvae crawled more slowly than controls and exhibited tremors, reminiscent of the clinical presentation of PD. However, when treated with curcumin, dUCH knockdown larvae had greater crawling speeds than knockdown larvae without curcumin treatment. In dUCH knockdown adult flies, climbing ability decreased every consecutive day after the knockdown procedure. However, curcumin treatment provided climbing improvements at every time point studied. Furthermore, histological analysis confirmed that in larval and adult flies, dUCH knockdown reduced the number of dopaminergic neurons. However, curcumin treatment of dUCH knockdown flies resulted in preserved dopaminergic neuron quantity at both the larval and adult stages (154).

Adult male D. melanogaster experience dose-dependent mortality in response to rotenone exposure. Sub-acute doses of 500 μ M for 14 days resulted in a mortality rate of about 90%. However, when pre-treated with curcumin dosed at 500 μ M a day for 6 days, D. melanogaster mortality was reduced to about 50% (155). Negative geotaxis performance was reduced by 70% in the D. melanogaster treated with rotenone. However, pretreatment with curcumin for 5 days significantly restored the rotenone-induced crawling deficit in a dose-dependent manner. Rotenone exposure increased ROS and hydroperoxides, as well as reduced glutathione levels, all of which were restored with curcumin (155). Finally, the levels of dopamine and its metabolites diminish in a rotenone-treated fly, whereas curcumin pretreatment preserves them (155). Another study confirmed that curcumin was neuroprotective in the rotenone-induced D. melanogaster model of PD by mitigating ROS production and restraining caspase-3 and caspase-9 activity (156).

Dietary supplementation with 25 μ M, 50 μ M, and 100 μ M of curcumin significantly extended the lifespan and health span of transgenic α -Syn D. melanogaster in a dose-dependent manner (157, 158). In addition to promoting longevity, curcumin also reduces levels of oxidative stress, lipid peroxidation, protein carbonyl, and cell death in the brains of the transgenic α -Syn D. melanogaster PD models (157, 158). Transgenic LRRK2 D. melanogaster exposed to chronic 0.1% H2O2 treatment starting day 1 post-eclosion had a shortened lifespan, impaired climbing assay performance, diminished numbers of dopaminergic neurons, increased brain oxidized protein levels, and increased LRRK2 kinase activity compared to untreated transgenic LRRK2 D. melanogaster. 1 mM curcumin extended the lifespan, improved climbing assay performance, suppressed the loss of dopaminergic neurons, reduced brain oxidized proteins, and inhibited LRRK2 kinase activity in transgenic LRRK2 D. melanogaster that were treated with chronic 0.1% H2O2 compared to those that were not treated with chronic 0.1% H2O2 (159).

Despite the remarkable senolytic and neuroprotective abilities of curcumin, it is limited as a therapeutic agent due to its poor bioavailability. Several factors contribute to its low bioavailability. For example, curcumin is not very soluble in water, which encourages it to aggregate, resist gastrointestinal absorption, and be eliminated from the body (160). However, a slight amount gets absorbed through the gastrointestinal tract, which then undergoes significant hepatic metabolism, effectively inactivating the majority of available curcumin (160). Following hepatic metabolism, it is quickly expelled from the body through the gall bladder (161). Finally, curcumin does not evenly distribute across body tissues, nor does it easily cross the BBB (162, 163).

Therefore, recent attempts to exploit curcumin’s neuroprotective capacity have focused on nanodelivery strategies, including polysaccharide nanoparticles, silica nanoparticles, nanosuspensions, carbon nanotubes, and PLGA nanoparticles (160). In D. melanogaster models of PD, successful local delivery of curcumin to the brain via nanocomposites has included an alginate-curcumin nanostructure, dosed to flies at concentrations as low as 10−5 g/mL and a curcumin monoglucoside at 10 μ M (155, 164). A polymeric polyvinylpyrrolidone-curcumin nanoparticle, dosed between 5 μ M and 10 μ M was also successful at increasing the bioavailability of curcumin in D. melanogaster (165). In MPTP-treated mice, curcumin-loaded polysorbate 80-modified cerasome nanoparticles of about 110 nm in diameter had much greater solubility and BBB passage compared to free curcumin. Furthermore, their effectiveness was enhanced with ultrasound-targeted microbubble destruction (166).

3.4. Resveratrol

Resveratrol is a phelonic compound of the stilbenoid class. It is the most well-known phytochemical to provide anti-aging benefits and, therefore, has been widely studied for its antioxidant, anti-inflammatory, and senolytic properties. Resveratrol is found mainly in pigmented fruits and vegetables, such as grapes, blueberries, and cranberries, but it is also found in peanuts, cocoa, and wine (167). However, a recent study showed that resveratrol found in rice callus dramatically extended the life of D. melanogaster and prevented age-related tissue degeneration (168). The biosynthesis of resveratrol relies on the conversion of p-coumaric acid to p-coumaroyl CoA by 4-coumarate-CoA ligase. Thereafter, three malonyl-CoA molecules and one p-coumaroyl CoA molecule synthesize resveratrol through the enzymatic activity of stilbene synthase (169). Resveratrol has been shown to be neuroprotective in D. melanogaster models of PD, but its senolytic capacity is dynamic and complicated.

The therapeutic benefit of resveratrol has been studied in parkin loss-of-function mutated D. melanogaster. After a three-week period, the survival rate of untreated parkin-mutant flies was found to be 75% less than that of the wild type flies. However, a significant enhancement in survival rate was observed in the parkin-mutant flies that were treated with resveratrol (15, 30, and 60 mg/kg diet) compared to the untreated parkin-mutant flies (170). Additionally, in comparison to the resveratrol-treated parkin mutant flies, the untreated parkin mutant flies exhibited worse performance on the negative geotaxis assay. Concomitant with the climbing results, AChE activity in resveratrol-treated parkin mutant flies increased about 2.1, 2.4, and 2.5 folds for 15, 30, and 60 mg/ kg diet of resveratrol compared to the AChE activity in untreated parkin mutant flies. Furthermore, untreated parkin mutant flies showed a 3.4-fold decrease in AChE activity compared to wild type flies. The oxidative stress markers of H2O2, MDA, and NO were elevated in parkin-mutant flies compared to the wild type and reduced in untreated parkin-mutant flies compared to those treated with resveratrol. Resveratrol also increased the levels of non-protein and total thiols, which helped establish a redox balance in the parkin mutant D. melanogaster. Furthermore, compared to wild type flies, untreated parkin mutant D. melanogaster have downregulated ple and Sod1 genes, which are responsible for encoding tyrosine hydroxylase and superoxide dismutase 1, respectively. However, these genes experienced upregulation in a resveratrol dose-dependent manner. Moreover, histology data showed no detectable brain lesions in the control or resveratrol-treated parkin mutated D. melanogaster. Finally, the mitochondrial mass in the brains of resveratrol-treated parkin mutated flies was significantly higher than the untreated parkin mutated flies and was comparable to wild type fly brains. Therefore, resveratrol is neuroprotective due to its antioxidant properties and ability to influence gene expression (170).

MPTP D. melanogaster models of PD constructed using 1,000 μ M -3,000 μ M MPTP experienced 100% mortality within a week (63). However, MPTP concentrations of 250 μ M and 500 μ M were not as lethal. Furthermore, MPTP treatment induced a pronounced reduction in climbing rates, the emergence of offspring, cell viability, AChE, catalase, and glutathione-S-transferase activity, eosinophilia, rarefaction of CNS white matter, segmental loss of CNS neurons, and increased H2O2 and NO levels compared to the control group. However, all these parameters were significantly ameliorated when resveratrol was co-administered with MPTP (63). Even in the absence of MPTP, resveratrol consumption throughout the lifecycle significantly increased wild type D. melanogaster lifespan. For example, when D. melanogaster were given resveratrol doses at 30 mg/kg and 60 mg/kg of diet, their lifespan lengthened by 39.5 and 41.9%, respectively (63). D. melanogaster lifespan extension by resveratrol has been shown to be dependent on the activity of sirtuins and their antioxidant and anti-inflammatory properties, rather than explicitly by senolytic activity (63, 171).

The resveratrol found in grape skin extract (GSE) is neuroprotective and effective at rescuing PD-related deficits, primarily through mitochondrial preservation. PINK1 mutant D. melanogaster experience abnormal mitochondrial aggregation in their flight muscles, which leads to flight muscle degeneration and subsequent aberrant wing positioning (172). However, moderate to high quantities of GSE (8 and 16% of food, respectively) amplified the flight muscular production of ATP, reduced ROS generation, reduced mitochondrial aggregation in flight muscles, improved wing posture, and ameliorated the locomotor activity deficit of the PINK1 mutant D. melanogaster PD model (172). Moreover, the 16% GSE diet concentration proved effective in preventing mitochondrial aggregation in DA neurons and DA neuron loss in the PINK1 mutant flies (172). Furthermore, GSE treatment of PINK1 mutants reduced p62 accumulation, induced autophagy, increased LC3-I to LC3-II conversion, and restored C-I 30 protein levels. GSE had contrasting effects in wild type flies, whereby p62 and LC3 expression was increased without affecting the LC3-II/LC3-I ratio (172). These effects indicate that the anti-aging properties of GSE are attained through improving overall mitochondrial integrity, activation of mitophagy, enhanced autophagy, and the increased expression and deployment of autophagy receptors (172).

D. melanogaster chronically exposed to 100 μM of rotenone every 10 days experience age-related and rotenone-related reduced survival rate, locomotion impairment, loss of DA neurons and TH proteins, and increased expression of dSarm, the D. melanogaster homolog of Sarm1 (173). dSarm promotes axonal degeneration, triggers inflammation, and is necessary and sufficient for rotenone-induced locomotor deficits (173, 174). Interestingly, the locomotor deficits caused by rotenone are independent of elevated levels of ROS (173). Instead, resveratrol mitigated the inflammation response to rotenone treatment and rescued the associated locomotor deficits by downregulating dSarm expression (170). Therefore, dSarm is a key pro-inflammatory mediator of rotenone-induced neurotoxicity (173).

Despite the focus of these D. melanogaster studies on resveratrol’s antioxidant, anti-inflammatory, and senomorphic mechanisms for neuroprotection, other studies have focused on its senolytic capability, its harmful effects, or even its benign influence on health (90). Although the delineation is somewhat arbitrary, smaller resveratrol doses of less than 10 μ M are sufficient to yield its senomorphic antioxidant behavior (90). For example, in the aforementioned study, resveratrol was fed as a dietary supplement at a low dose of either a 30 mg/kg diet or a 60 mg/kg diet (63). Furthermore, at 6 μ M, resveratrol was neuroprotective against a C. elegans model of Alzheimer’s disease by reducing protein aggregation (175). Other actions, when taken together, could straddle between being senomorphic, anti-senescent, and fully senolytic, such as the activation of telomerase, activation of Silencing Information Regulator 2-Related Enzyme 1 (SIRT1), inhibition of NF-kB, and upregulation of Nrf2 signaling (176179).

However, there is evidence that resveratrol at higher doses can act as a senolytic, pro-oxidant, or even induce senescence (90, 180, 181). In a recent study, 100 μM of resveratrol seemingly acted as a senolytic in rat primary culture models of intervertebral disc degeneration (180). For example, compared to the untreated diseased state, resveratrol increased the number of proliferative cells, decreased the number of SA-β-Galstaining-positive cells, restored the imbalance between the number of cells in the G0/G1 and S phases, increased telomerase activity, and reduced the expression of the p16 and p53 genes (180). However, at high concentrations, resveratrol can be cytotoxic (90, 181). There have also been mixed results in clinical studies (182185).

The current consensus on the use of resveratrol is that the compound has well-established senomorphic properties for a variety of pathologies, but there are other possible outcomes of its use (186). More research is needed to fully explore its ability to act as a senolytic. Despite the enigmatic behavior of resveratrol, it is currently used in many clinical trials and is generally well tolerated. Therefore, it is possible to get past the preclinical stage of investigation for PD, but likely will require bioengineering improvement (187, 188).

3.5. Piperlongumine

Piperlongumine (PLG) is a senolytic alkaloid commonly derived from the long pepper plant Piper longum Linn. P. longum is native to the tropical rainforests in South Asia, including those in India, Malaysia, Nepal, Sri Lanka, and Vietnam, among other countries (189). The biosynthesis of PLG is not well characterized, but there have been many successful efforts to develop synthetic PLG analogs to study, improve, and market its pharmacological properties (190193). It boasts impressive anticancer properties in addition to antioxidant, anti-inflammatory, neuroprotective, and senolytic characteristics (194). It has been used as a spice and a medicinal elixir for millennia. In fact, it has been written about in detail by Hippocrates in Greece, used in India’s Ayurveda, and is included in traditional Chinse medicine (195, 196).

Several senolytic mechanisms of PLG have been established. For example, in WI-38 senescent cells, PLG selectively binds to the protein oxidation resistance 1 (OXR1), targeting it for proteasomal destruction via the ubiquitin-proteasome system (166). During periods of genome instability that lead to a DNA damage response, OXR1 maintains cell survival by activating G2-phase cell cycle arrest and inhibiting oxidative stress (197). Therefore, upregulated OXR1 is proposed as the mechanism that confers oxidative stress resistance to senescent cells. Conversely, suppression of OXR1 by PLG binding or by genetic knockdown in senescent cells induces apoptosis through reduced antioxidant enzymatic activity and increased ROS levels (197, 198). However, the senescent cell apoptosis pathway induced by PLG is ROS-independent. Instead, it depends on activated caspase-3 and the degradation of poly (ADP-ribose) polymerase (199).

PLG is neuroprotective beyond its senolytic abilities. For example, PLG activates the transcription factor Nrf2 to regulate cellular oxidative and inflammation homeostasis (200). Furthermore, PLG analogs have been manufactured to exert antioxidant and anti-inflammatory effects via Nrf2 activation (191). In a transgenic α-Syn D. melanogaster model, the genetic overexpression of Nrf2 or the overexpression of Nrf2’s dimerization partner, Maf-S, restores the α-Syn associated locomotion impairments and dopaminergic neuron degeneration (201). Conversely, reduced expression of the main Nrf2 inhibitor, Keap1, also protects against dopaminergic neuron loss in the transgenic α-Syn D. melanogaster model of PD (201). Furthermore, motor behavior assessments using rotarod and pole tests revealed that both PLG and L-DOPA ameliorated rotenone-induced motor deficits in mice and maintained tyrosine hydroxylase (TH) and dopamine levels (202).

PLG is also involved in restoring the impaired balance between autophagy and apoptosis that is characteristic of PD (203). In rotenone-induced SK-N-SH cell and mouse models of PD, PLG promotes autophagy and suppresses apoptosis to reverse the apoptotic-dominant nature of degenerative neurons in PD. PLG increases the rate of autophagy, as indicated by the increased conversion rate of cytosolic microtubule-associated Protein 1 Light Chain 3 alpha-I (LC3B-I) to the lipid-conjugated form, LC3B-II. This effect continued even when combined with bafilomycin A1, a lysosome inhibitor. Live-cell imaging confirmed that PLG induces autophagy and clears damaged mitochondria. Finally, PLG separates the heterodimer between the B-cell lymphoma 2 protein (BCL2) and the Beclin-1 protein, an activity that leads to autophagy. It also underscores BCL2’s involvement in PLG’s autophagy-promoting attributes (202). Additionally, PLG suppresses apoptosis by counteracting the rotenone-induced loss of mitochondrial membrane potential, blocking the mitochondrial permeability transition pore and preserving the function of mitochondrial complex I (202). Similarly, PLG reduces the extent that rotenone activates the pro-apoptotic proteins caspases-3 and caspases-9. Finally, PLG’s role in the autophagy-apoptosis balance is facilitated by the increase of BCL2 phosphorylation at Ser70 via MAPK8 signaling.

The PD-relevant neuroprotective and senolytic properties of PLG have been studied in SCNA transgenic SK-N-SH cells, senescent WI-38 human fibroblasts, 6-OHDA treated PC12 cells, rotenone-treated SK-N-SH cells, rotenone-treated mice, MPTP treated rats, 6-OHDA treated rats, and in lipopolysaccharide treated BV2 microglial cells (192, 199, 202, 204206). Notably, it has not yet been studied in D. melanogaster. Furthermore, all PD models used to study PLG except for the SCNA transgenic SK-N-SH cells have been acute toxin models. Acute toxin models are efficient to execute but do not lead to the progressive accumulation of α-Syn and Lewy bodies formation, which are the two cardinal histological signs of PD (207, 208). In contrast, genetic models allow for the replication of specific disease aspects in isolation and can be used to study the early stages of PD development and progression (209). However, genetic models often do not exhibit hallmark clinical manifestations such as tremors, bradykinesia, and non-motor symptoms. The complications associated with various model organisms underscores the value of utilizing a variety of in vitro, in vivo, and in silico approaches to study pathophysiology and drug development (210). D. melanogaster is a paramount model for studying the roles of genetics in PD and should be used in the characterization of PLG as a neuroprotectant and senolytic.

D. melanogaster is an efficient model for screening secondary metabolites, facilitating the identification of potential therapeutic candidates, and for the elucidation of molecular mechanisms of action. Further research is needed to clarify their precise mechanisms of action and evaluate their efficacy, safety, and potential for therapeutic applications in age-related diseases. In conclusion, secondary metabolites offer a promising avenue for the development of senolytic agents. These compounds interact with intracellular targets, modifying cellular behavior and selectively eliminating senescent cells. By targeting senescent cells and addressing the detrimental effects of cellular senescence, secondary metabolites hold potential as therapeutic interventions for age-related diseases. The information presented in this section is summarized in Table 1 and a schematic is presented in Figure 1.

TABLE 1
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Table 1. The molecular, cellular, and phenotypical effects of senolytic secondary metabolites in various D. melanogaster models of Parkinson’s disease.

FIGURE 1
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Figure 1. Neuroprotective senolytic secondary metabolites in Drosophila melanogaster models of Parkinson’s disease. Treatment with quercitrin, fisetin, curcumin, and resveratrol exert a senolytic effect, which mitigates neurodegenerative pathophysiology. Created with BioRender.com

4. Discussion

L-DOPA is the primary therapy for PD, but its prolonged use leads to drug-induced dyskinesia. Other drug strategies, like dopamine agonists and catechol-O-methyltransferase inhibitors, have non-motor side effects such as hallucinations, constipation, and orthostatic hypotension. Surgical options like deep brain stimulation improve motor dysfunction, but its efficacy drops over time as it does not address the neurodegeneration. Therefore, there is a clear and pressing need for more effective therapeutics, in addition to earlier intervention facilitated by a pre-symptomatic diagnosis.

A diet rich in fruits and vegetables has protective properties against chronic diseases. Additionally, plant-derived products have been crucial in drug development. In drug discovery from plant sources, concerns about “dirty” molecules interacting with multiple protein targets are common. These interactions can be noxious, activate cellular stress response pathways, increase lifespan, and enhance the survival of the organism that consumed the stressed plant. The concept of hormesis illustrates how low doses of these phytochemicals can offer beneficial effects, while high doses may result in toxicity. The intermittent and moderate activation of stress response pathways by these potentially harmful phytochemicals could play a key role in delivering cellular protection. In a similar fashion, periodic shifts in metabolic activity, like those seen in intermittent fasting, can prolong lifespan and offer neuroprotection due to the temporary triggering of stress response pathways by ketones generated from fatty acids. Because these noxious phytochemicals can impact evolutionarily conserved cellular signaling pathways, it is possible to extend these discoveries from invertebrate to mammalian models of diseases.

Secondary plant metabolites can influence evolutionarily conserved pathways, offering potential neuroprotection against PD by activating adaptive cellular stress responses. One such pathway is the Nrf2 / antioxidant response element (ARE) pathway, which regulates antioxidants and detoxifying enzymes in response to phytochemicals. Activation of the Nrf2 signaling pathway, either through genetic manipulation or through secondary metabolites like quercetin, PLG, or sulphorafane, is neuroprotective in D. melanogaster PD models (201, 211, 212). The transcription factor NF-kB controls genes related to immunity, inflammation, stress response, cell survival, and proliferation. As such, it has been described as a “master regulator of evolutionarily conserved biochemical cascades” (213). In PD and other neurodegenerative diseases, NF-kB activity is compromised. However, secondary metabolites like quercetin and resveratrol have been shown to restore NF-kB function and offer neuroprotection in D. melanogaster models of PD (116, 214). Sirtuins, such as SIRT1, are highly conserved NAD + -dependent deacetylases that regulate key transcription factors (215, 216). Activation of SIRT1 via secondary metabolites, such as resveratrol and quercetin, confers neuroprotection in D. melanogaster models of PD (217). D. melanogaster has been a valuable model for studying potential drug targets in shared molecular pathways between humans and flies that can be validated in vertebrates.

Cell culture-based screening in drug discovery has limitations in mimicking in vivo responses, leading to ineffective or toxic results when validated in animal models. Although 3D cell cultures better replicate in vivo responses, they are costly for high-throughput screening. Rodent models, while useful, are expensive and time-consuming for initial drug screening. On the other hand, D. melanogaster, with its highly conserved molecular pathways relevant to human diseases, provides a cost-effective in vivo model for large-scale screening of phytochemicals targeting PD. D. melanogaster models offer powerful molecular tools for gene manipulation, making them ideal for screening bioactive compounds. Their genetic flexibility and cost-effectiveness compared to rodents make them valuable for evaluating drug candidates. The short life cycle and behavioral assays of D. melanogaster allow swift screening of numerous candidates, including those targeting PD-related mobility defects. Utilizing D. melanogaster models as an in vivo screening platform overcomes the limitations of in vitro assays, enabling rapid identification of potential drug candidates for further validation in mammalian models. The success of D. melanogaster in screening for diseases highlights its potential as a cost-effective solution in early-stage drug discovery.

D. melanogaster models, like any model system, have some disadvantages to consider. While they exhibit a high degree of conservation in molecular signaling pathways relevant to disease, there are notable physiological differences, including brain anatomy and BBB permeability. Additionally, D. melanogaster lacks a classical adaptive immune response, limiting the study of neuroinflammation relevant to humans. However, D. melanogaster offers insight into the innate immune response, contributing to disease pathogenesis without interference from adaptive immune signaling. Other drawbacks include the need for frequent passaging, the inability to freeze D. melanogaster strains, and the presence of vertebrate-specific factors linked to disease pathology. Despite these limitations, D. melanogaster remains a powerful model system, serving as an effective screening platform for drug discovery and enabling the development of novel assays to understand the mechanistic effects of bioactive compounds on disease pathogenesis.

D. melanogaster with mutated vesicular monoamine transporters (dVMAT) have successfully been used to identify, characterize, and validate drugs that rescue motor behavior in PD, namely pergolide and dacarbazine (12, 218). Pergolide is a dVMAT-independent dopamine agonist that acts on the CNS to increase dopamine levels. Dacarbazine is a dVMAT-dependent anticancer drug that has shown potential in treating PD by promoting neuroprotection and neuroregeneration. Both of these drugs have been confirmed to be aminergic and able to improve locomotion in D. melanogaster that have either weakly expressed or null dVMAT (218).

Pergolide improves symptoms in PD patients, either as a standalone treatment or in combination with levodopa (219, 220). The symptomatic improvement of pergolide is attributed to its action on both dopamine D1 and D2 receptors, whereas other drugs, like bromocriptine, primarily target only dopamine D2 receptors (219). However, the use of pergolide has also raised concerns regarding its potential side effects. Studies have concluded that PD patients treated with ergot-derived dopamine agonists, including pergolide and cabergoline, may be at an increased risk of developing cardiac valvulopathy by activating serotonin receptors in cardiac valves, leading to fibrosis and valve dysfunction (221, 222). Therefore, pergolide has been withdrawn from the U.S. market (223).

Dacarbazine, also known as DTIC-Dome, has traditionally been used to treat malignant melanoma and Hodgkin’s disease. In rodent models, it has been shown to exhibit antioxidant and anti-inflammatory effects (224). Interestingly, a PD patient’s response to levodopa improved while receiving dacarbazine as part of their treatment for melanoma (225). However, dacarbazine has also been shown to cause mitochondrial dysfunction and promote oxidative stress in rat hepatocytes (226). Due to the inconsistency of pre-clinical results, dacarbazine has not yet been brought into the mainstream drug arsenal for treating PD patients.

The translational potential of D. melanogaster models in PD research is evident, as they have facilitated the evaluation of potential therapeutic compounds, allowing for the screening and identification of novel drug candidates (12). These findings emphasize the significance of D. melanogaster in PD-related therapeutic research, as it continues to play a vital role in advancing the understanding of the disease and aiding in the development of potential therapeutic interventions. Despite the progress, however, current PD treatments remain palliative, primarily focused on symptom relief rather than addressing the disease’s root cause, with common medications such as L-DOPA and dopamine agonists often leading to adverse side effects over the long term (227). There is an urgent need for innovative therapeutic approaches that target the underlying causes of PD. Emerging research has explored gene therapy, stem cell transplantation, deep brain stimulation, microbial treatment, and neuroprotective agents (228). Particularly, the focus has shifted towards targeted drug delivery systems that can deliver therapeutic agents specifically to the brain regions affected, thereby enhancing treatment efficacy while minimizing side effects. Given the well-characterized anatomical and behavioral simplicity of D. melanogaster and their long-established role as PD models, their potential in shaping these advanced treatments appears promising.

Author contributions

SM: Investigation, Writing – original draft, Writing – review & editing. RD: —. SW: Investigation, Writing – original draft, Writing – review & editing. JL: Investigation, Writing – original draft, Writing – review & editing. RL: Conceptualization, Investigation, Supervision, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

We wish to thank Emma Logan and Fede Miller for their unflagging support.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Beyer, K, Domingo-Sàbat, M, and Ariza, A. Molecular pathology of lewy body diseases. Int J Mol Sci. (2009) 10:724–45. doi: 10.3390/ijms10030724

CrossRef Full Text | Google Scholar

2. Moustafa, AA, Chakravarthy, S, Phillips, JR, Gupta, A, Keri, S, Polner, B, et al. Motor symptoms in Parkinson’s disease: a unified framework. Neurosci Biobehav Rev. (2016) 68:727–40. doi: 10.1016/j.neubiorev.2016.07.010

CrossRef Full Text | Google Scholar

3. Pfeiffer, RF . Non-motor symptoms in Parkinson’s disease. Parkinsonism Relat Disord. (2016) 22:S119–22. doi: 10.1016/j.parkreldis.2015.09.004

CrossRef Full Text | Google Scholar

4. Simon, DK, Tanner, CM, and Brundin, P. Parkinson disease epidemiology, pathology, genetics, and pathophysiology. Clin Geriatr Med. (2020) 36:1–12. doi: 10.1016/j.cger.2019.08.002

CrossRef Full Text | Google Scholar

5. Goldman, SM, Marek, K, Ottman, R, Meng, C, Comyns, K, Chan, P, et al. Concordance for Parkinson’s disease in twins: a 20-year update. Ann Neurol. (2019) 85:600–5. doi: 10.1002/ana.25441

CrossRef Full Text | Google Scholar

6. Nandipati, S, and Litvan, I. Environmental exposures and Parkinson’s disease. Int J Environ Res Public Health. (2016) 13:881. doi: 10.3390/ijerph13090881

CrossRef Full Text | Google Scholar

7. Vorobyeva, AG, Lee, R, Miller, S, Longen, C, Sharoni, M, Kandelwal, PJ, et al. Cyclopamine modulates γ-secretase-mediated cleavage of amyloid precursor protein by altering its subcellular trafficking and lysosomal degradation. J Biol Chem. (2014) 289:33258–74. doi: 10.1074/jbc.M114.591792

CrossRef Full Text | Google Scholar

8. Espay, AJ, Morgante, F, Merola, A, Fasano, A, Marsili, L, Fox, SH, et al. Levodopa-induced dyskinesia in Parkinson disease: current and evolving concepts. Ann Neurol. (2018) 84:797–811. doi: 10.1002/ana.25364

CrossRef Full Text | Google Scholar

9. MacKay, TFC, Richards, S, Stone, EA, Barbadilla, A, Ayroles, JF, Zhu, D, et al. The Drosophila melanogaster genetic reference panel. Nature. (2012) 482:173–8. doi: 10.1038/nature10811

CrossRef Full Text | Google Scholar

10. Billeter, JC, Jagadeesh, S, Stepek, N, Azanchi, R, and Levine, JD. Drosophila melanogaster females change mating behaviour and offspring production based on social context. Proc R Soc B Biol Sci. (2012) 279:2417–25. doi: 10.1098/rspb.2011.2676

CrossRef Full Text | Google Scholar

11. Bellen, HJ, Tong, C, and Tsuda, H. 100 years of Drosophila research and its impact on vertebrate neuroscience: a history lesson for the future. Nat Rev Neurosci. (2010) 11:514–22. doi: 10.1038/nrn2839

CrossRef Full Text | Google Scholar

12. Pandey, UB, and Nichols, CD. Human disease models in drosophila melanogaster and the role of the fly in therapeutic drug discovery. Pharmacol Rev. (2011) 63:411–36. doi: 10.1124/pr.110.003293

CrossRef Full Text | Google Scholar

13. Zimmermann, C, and Wagner, AE. Impact of food-derived bioactive compounds on intestinal immunity. Biomol Ther. (2021) 11:1901. doi: 10.3390/biom11121901

CrossRef Full Text | Google Scholar

14. Hartmann, T . From waste products to ecochemicals: fifty years research of plant secondary metabolism. Phytochemistry. (2007) 68:2831–46. doi: 10.1016/j.phytochem.2007.09.017

CrossRef Full Text | Google Scholar

15. Huang, WY, Cai, YZ, and Zhang, Y. Natural phenolic compounds from medicinal herbs and dietary plants: potential use for cancer prevention. Nutr Cancer. (2010) 62:1–20. doi: 10.1080/01635580903191585

CrossRef Full Text | Google Scholar

16. Sherman, DH . New enzymes for “warheads”. Nat Biotechnol. (2002) 20:984–5. doi: 10.1038/nbt1002-984

CrossRef Full Text | Google Scholar

17. Adejoke, HT, Louis, H, Amusan, OO, and Apebende, G. A review on classes, extraction, purification and pharmaceutical importance of plants. J Med Chem Sci. (2019) 2:130–9. doi: 10.13140/RG.2.2.12867.96809

CrossRef Full Text | Google Scholar

18. Suzuki, M, Sango, K, and Nagai, Y. Roles of α-Synuclein and disease-associated factors in Drosophila models of Parkinson’s disease. Int J Mol Sci. (2022) 23:1519. doi: 10.3390/ijms23031519

CrossRef Full Text | Google Scholar

19. Auluck, PK, Meulener, MC, and Bonini, NM. Mechanisms of suppression of α-synuclein neurotoxicity by geldanamycin in Drosophila. J Biol Chem. (2005) 280:2873–8. doi: 10.1074/jbc.M412106200

CrossRef Full Text | Google Scholar

20. Feany, MB, and Bender, WW. A Drosophila model of Parkinson’s disease. Nature. (2000) 404:394–8. doi: 10.1038/35006074

CrossRef Full Text | Google Scholar

21. Agostini, F, Bubacco, L, Chakrabarti, S, and Bisaglia, M. α-Synuclein toxicity in Drosophila melanogaster is enhanced by the presence of Iron: implications for Parkinson’s disease. Antioxidants. (2023) 12:1–13. doi: 10.3390/antiox12020261

CrossRef Full Text | Google Scholar

22. Imai, Y, Gehrke, S, Wang, HQ, Takahashi, R, Hasegawa, K, Oota, E, et al. Phosphorylation of 4E-BP by LRRK2 affects the maintenance of dopaminergic neurons in Drosophila. EMBO J. (2008) 27:2432–43. doi: 10.1038/emboj.2008.163

CrossRef Full Text | Google Scholar

23. Dawson, TM, and Dawson, VL. The role of parkin in familial and sporadic Parkinson’s disease. Mov Disord. (2010) 25:1–15. doi: 10.1002/mds.22798

CrossRef Full Text | Google Scholar

24. Ge, P, Dawson, VL, and Dawson, TM. PINK1 and Parkin mitochondrial quality control: a source of regional vulnerability in Parkinson’s disease. Mol Neurodegener. (2020) 15:1–18. doi: 10.1186/s13024-020-00367-7

CrossRef Full Text | Google Scholar

25. Quinn, PMJ, Moreira, PI, Ambrósio, AF, and Alves, CH. PINK1/PARKIN signalling in neurodegeneration and neuroinflammation. Acta Neuropathol Commun. (2020) 8:189. doi: 10.1186/s40478-020-01062-w

CrossRef Full Text | Google Scholar

26. Clark, IE, Dodson, MW, Jiang, C, Cao, JH, Huh, JR, Seol, JH, et al. Drosophila pink1 is required for mitochondrial function and interacts genetically with parkin. Nature. (2006) 441:1162–6. doi: 10.1038/nature04779

CrossRef Full Text | Google Scholar

27. Park, J, Lee, SB, Lee, S, Kim, Y, Song, S, Kim, S, et al. Mitochondrial dysfunction in Drosophila PINK1 mutants is complemented by parkin. Nature. (2006) 441:1157–61. doi: 10.1038/nature04788

CrossRef Full Text | Google Scholar

28. Wang, Z, Chan, SW, Zhao, H, Miu, KK, and Chan, WY. Outlook of PINK1/Parkin signaling in molecular etiology of Parkinson’s disease, with insights into Pink1 knockout models. Zool Res. (2023) 44:559–76. doi: 10.24272/j.issn.2095-8137.2022.406

CrossRef Full Text | Google Scholar

29. Choi, HK, Choi, Y, Kang, HB, Lim, E, Jin Park, SY, Lee, HS, et al. Pink1 positively regulates HDAC3 to suppress dopaminergic neuronal cell death. Hum Mol Genet. (2015) 24:1127–41. doi: 10.1093/hmg/ddu526

CrossRef Full Text | Google Scholar

30. Santarelli, S, Londero, C, Soldano, A, Candelaresi, C, Todeschini, L, Vernizzi, L, et al. Drosophila melanogaster as a model to study autophagy in neurodegenerative diseases induced by proteinopathies. Front Neurosci. (2023) 17:1082047. doi: 10.3389/fnins.2023.1082047

CrossRef Full Text | Google Scholar

31. Si, H, Ma, P, Liang, Q, Yin, Y, Wang, P, Zhang, Q, et al. Overexpression of pink1 or parkin in indirect flight muscles promotes mitochondrial proteostasis and extends lifespan in Drosophila melanogaster. PLoS One. (2019) 14:1–11. doi: 10.1371/journal.pone.0225214

CrossRef Full Text | Google Scholar

32. Greene, JC, Whitworth, AJ, Kuo, I, Andrews, LA, Feany, MB, and Pallanck, LJ. Mitochondrial pathology and apoptotic muscle degeneration in Drosophila parkin mutants. Proc Natl Acad Sci U S A. (2003) 100:4078–83. doi: 10.1073/pnas.0737556100

CrossRef Full Text | Google Scholar

33. Pesah, Y, Pham, T, Burgess, H, Middlebrooks, B, Verstreken, P, Zhou, Y, et al. Drosophila parkin mutants have decreased mass and cell size and increased sensitivity to oxygen radical stress. Development. (2004) 131:2183–94. doi: 10.1242/dev.01095

CrossRef Full Text | Google Scholar

34. Leduc-Gaudet, JP, Hussain, SNA, and Gouspillou, G. Parkin: a potential target to promote healthy ageing. J Physiol. (2022) 600:3405–21. doi: 10.1113/JP282567

CrossRef Full Text | Google Scholar

35. Zhu, M, Li, X, Tian, X, and Wu, C. Mask loss-of-function rescues mitochondrial impairment and muscle degeneration of Drosophila pink1 and parkin mutants. Hum Mol Genet. (2014) 24:3272–85. doi: 10.1093/hmg/ddv081

CrossRef Full Text | Google Scholar

36. Xiong, Y, and Yu, J. Modeling Parkinson’s disease in Drosophila: what have we learned for dominant traits? Front Neurol. (2018) 9:228. doi: 10.3389/fneur.2018.00228

CrossRef Full Text | Google Scholar

37. Peters, OM, Weiss, A, Metterville, J, Song, L, Logan, R, Smith, GA, et al. Genetic diversity of axon degenerative mechanisms in models of Parkinson’s disease. Neurobiol Dis. (2021) 155:105368. doi: 10.1016/j.nbd.2021.105368

CrossRef Full Text | Google Scholar

38. Mbiydzenyuy, NE, Ninsiima, HI, Valladares, MB, and Pieme, CA. Zinc and linoleic acid pre-treatment attenuates biochemical and histological changes in the midbrain of rats with rotenone-induced parkinsonism. BMC Neurosci. (2018) 19:1–11. doi: 10.1186/s12868-018-0429-9

CrossRef Full Text | Google Scholar

39. Zhang, Y, Guo, H, Guo, X, Ge, D, Shi, Y, Lu, X, et al. Involvement of Akt/mTOR in the neurotoxicity of rotenone-induced Parkinson’s disease models. Int J Environ Res Public Health. (2019) 16:3811. doi: 10.3390/ijerph16203811

CrossRef Full Text | Google Scholar

40. Mello, DF, Bergemann, CM, Fisher, K, Chitrakar, R, Bijwadia, SR, Wang, Y, et al. Rotenone modulates Caenorhabditis elegans Immunometabolism and pathogen susceptibility. Front Immunol. (2022) 13:1–14. doi: 10.3389/fimmu.2022.840272

CrossRef Full Text | Google Scholar

41. Żuberek, M, Paciorek, P, Rakowski, M, and Grzelak, A. How to use respiratory chain inhibitors in toxicology studies—whole-cell measurements. Int J Mol Sci. (2022) 23:9076. doi: 10.3390/ijms23169076

CrossRef Full Text | Google Scholar

42. Sherer, TB, Betarbet, R, Stout, AK, Lund, S, Baptista, M, Panov, AV, et al. An in vitro model of Parkinson’s disease: linking mitochondrial impairment to altered α-synuclein metabolism and oxidative damage. J Neurosci. (2002) 22:7006–15. doi: 10.1523/jneurosci.22-16-07006.2002

CrossRef Full Text | Google Scholar

43. Ryu, EJ, Harding, HP, Angelastro, JM, Vitolo, OV, Ron, D, and Greene, LA. Endoplasmic reticulum stress and the unfolded protein response in cellular models of Parkinson’s disease. J Neurosci. (2002) 22:10690–8. doi: 10.1523/jneurosci.22-24-10690.2002

CrossRef Full Text | Google Scholar

44. Coulom, H, and Birman, S. Chronic exposure to rotenone models sporadic Parkinson’s disease in Drosophila melanogaster. J Neurosci. (2004) 24:10993–8. doi: 10.1523/JNEUROSCI.2993-04.2004

CrossRef Full Text | Google Scholar

45. Lovejoy, PC, and Fiumera, AC. Effects of dual exposure to the herbicides atrazine and paraquat on adult climbing ability and longevity in Drosophila melanogaster. Insects. (2019) 10:398. doi: 10.3390/insects10110398

CrossRef Full Text | Google Scholar

46. Rashidipour, M, Maleki, A, Kordi, S, Birjandi, M, Pajouhi, N, Mohammadi, E, et al. Pectin/chitosan/Tripolyphosphate nanoparticles: efficient carriers for reducing soil sorption, cytotoxicity, and mutagenicity of Paraquat and enhancing its herbicide activity. J Agric Food Chem. (2019) 67:5736–45. doi: 10.1021/acs.jafc.9b01106

CrossRef Full Text | Google Scholar

47. Frimpong, JO, Ofori, ESK, Yeboah, S, Marri, D, Offei, BK, Apaatah, F, et al. Evaluating the impact of synthetic herbicides on soil dwelling macrobes and the physical state of soil in an agro-ecosystem. Ecotoxicol Environ Saf. (2018) 156:205–15. doi: 10.1016/j.ecoenv.2018.03.034

CrossRef Full Text | Google Scholar

48. Bus, JS, and Gibson, JE. Paraquat: model for oxidant-initiated toxicity. Environ Health Perspect. (1984) 55:37–46. doi: 10.1289/ehp.845537

CrossRef Full Text | Google Scholar

49. Tampo, Y, Tsukamoto, M, and Yonaha, M. Superoxide production from paraquat evoked by exogenous NADPH in pulmonary endothelial cells. Free Radic Biol Med. (1999) 27:588–95. doi: 10.1016/S0891-5849(99)00110-0

CrossRef Full Text | Google Scholar

50. Zorov, DB, Juhaszova, M, and Sollott, SJ. Mitochondrial reactive oxygen species (ROS) and ROS-induced ROS release. Physiol Rev. (2014) 94:909–50. doi: 10.1152/physrev.00026.2013

CrossRef Full Text | Google Scholar

51. Vila, M, Ramonet, D, and Perier, C. Mitochondrial alterations in Parkinson’s disease: new clues. J Neurochem. (2008) 107:317–28. doi: 10.1111/j.1471-4159.2008.05604.x

CrossRef Full Text | Google Scholar

52. Chinta, SJ, Woods, G, Demaria, M, Rane, A, Zou, Y, McQuade, A, et al. Cellular senescence is induced by the environmental neurotoxin Paraquat and contributes to neuropathology linked to Parkinson’s disease. Cell Rep. (2018) 22:930–40. doi: 10.1016/j.celrep.2017.12.092

CrossRef Full Text | Google Scholar

53. Miller, SJ, Campbell, CE, Jimenez-Corea, HA, Wu, GH, and Logan, R. Neuroglial senescence, α-Synucleinopathy, and the therapeutic potential of Senolytics in Parkinson’s disease. Front Neurosci. (2022) 16:1–20. doi: 10.3389/fnins.2022.824191

CrossRef Full Text | Google Scholar

54. Spivey, A . Rotenone and paraquat linked to Parkinson’s disease: human exposure study supports years of animal studies. Environ Health Perspect. (2011) 119:A259. doi: 10.1289/ehp.119-a259a

CrossRef Full Text | Google Scholar

55. Weed, DL . Does paraquat cause Parkinson’s disease? A review of reviews. Neurotoxicology. (2021) 86:180–4. doi: 10.1016/j.neuro.2021.08.006

CrossRef Full Text | Google Scholar

56. Shukla, AK, Pragya, P, Chaouhan, HS, Patel, DK, Abdin, MZ, and Kar Chowdhuri, D. A mutation in Drosophila methuselah resists paraquat induced Parkinson-like phenotypes. Neurobiol Aging. (2014) 35:2419.e1–2419.e16. doi: 10.1016/j.neurobiolaging.2014.04.008

CrossRef Full Text | Google Scholar

57. Srivastav, S, Fatima, M, and Mondal, AC. Bacopa monnieri alleviates paraquat induced toxicity in Drosophila by inhibiting jnk mediated apoptosis through improved mitochondrial function and redox stabilization. Neurochem Int. (2018) 121:98–107. doi: 10.1016/j.neuint.2018.10.001

CrossRef Full Text | Google Scholar

58. Marttila, RJ, Lorentz, H, and Rinne, UK. Oxygen toxicity protecting enzymes in Parkinson’s disease. Increase of superoxide dismutase-like activity in the substantia nigra and basal nucleus. J Neurol Sci. (1988) 86:321–31. doi: 10.1016/0022-510X(88)90108-6

CrossRef Full Text | Google Scholar

59. He, F, Ru, X, and Wen, T. NRF2, a transcription factor for stress response and beyond. Int J Mol Sci. (2020) 21:1–23. doi: 10.3390/ijms21134777

CrossRef Full Text | Google Scholar

60. Petrillo, S, Schirinzi, T, Di Lazzaro, G, D’Amico, J, Colona, VL, Bertini, E, et al. Systemic activation of Nrf2 pathway in Parkinson’s disease. Mov Disord. (2020) 35:180–4. doi: 10.1002/mds.27878

CrossRef Full Text | Google Scholar

61. Ramsey, CP, Glass, CA, Montgomery, MB, Lindl, KA, Ritson, GP, Chia, LA, et al. Expression of Nrf2 in neurodegenerative diseases. J Neuropathol Exp Neurol. (2007) 66:75–85. doi: 10.1097/nen.0b013e31802d6da9

CrossRef Full Text | Google Scholar

62. See, WZC, Naidu, R, and Tang, KS. Cellular and molecular events leading to Paraquat-induced apoptosis: mechanistic insights into Parkinson’s disease pathophysiology. Mol Neurobiol. (2022) 59:3353–69. doi: 10.1007/s12035-022-02799-2

CrossRef Full Text | Google Scholar

63. Abolaji, AO, Adedara, AO, Adie, MA, Vicente-Crespo, M, and Farombi, EO. Resveratrol prolongs lifespan and improves 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced oxidative damage and behavioural deficits in Drosophila melanogaster. Biochem Biophys Res Commun. (2018) 503:1042–8. doi: 10.1016/j.bbrc.2018.06.114

CrossRef Full Text | Google Scholar

64. Omotayo, T, Otenaike, TA, Oluwatosin, A, Eyitayo, O, Jonhnson, TO, and Olalekan, A. Biological interactions and attenuation of MPTP-induced toxicity in Drosophila melanogaster by trans-astaxanthin. Neurosci Res. (2023). doi: 10.1016/j.neures.2023.06.005

CrossRef Full Text | Google Scholar

65. Vos, M, and Klein, C. The importance of drosophila melanogaster research to uncover cellular pathways underlying parkinson’s disease. Cells. (2021) 10:1–22. doi: 10.3390/cells10030579

CrossRef Full Text | Google Scholar

66. Simola, N, Morelli, M, and Carta, AR. The 6-hydroxydopamine model of Parkinson’s disease. Neurotox Res. (2007) 11:151–67. doi: 10.1007/BF03033565

CrossRef Full Text | Google Scholar

67. Chen, X, Burdett, TC, Desjardins, CA, Logan, R, Cipriani, S, Xu, Y, et al. Disrupted and transgenic urate oxidase alter urate and dopaminergic neurodegeneration. Proc Natl Acad Sci U S A. (2013) 110:300–5. doi: 10.1073/pnas.1217296110

CrossRef Full Text | Google Scholar

68. Poetini, MR, Musachio, EAS, Araujo, SM, Bortolotto, VC, Meichtry, LB, Silva, NC, et al. Improvement of non-motor and motor behavioral alterations associated with Parkinson-like disease in Drosophila melanogaster: comparative effects of treatments with hesperidin and L-dopa. Neurotoxicology. (2022) 89:174–83. doi: 10.1016/j.neuro.2022.02.004

CrossRef Full Text | Google Scholar

69. Fernandes, SE, and Saini, DK. The ERK-p38MAPK-STAT3 Signalling Axis regulates iNOS expression and Salmonella infection in senescent cells. Front Cell Infect Microbiol. (2021) 11:1–10. doi: 10.3389/fcimb.2021.744013

CrossRef Full Text | Google Scholar

70. Saito, Y, and Chikenji, TS. Diverse roles of cellular senescence in skeletal muscle inflammation, regeneration, and therapeutics. Front Pharmacol. (2021) 12:1–13. doi: 10.3389/fphar.2021.739510

CrossRef Full Text | Google Scholar

71. Gkaliagkousi, E, Lazaridis, A, Dogan, S, Fraenkel, E, Tuna, BG, Mozos, I, et al. Theories and molecular basis of vascular aging: a review of the literature from VascAgeNet group on pathophysiological mechanisms of vascular aging. Int J Mol Sci. (2022) 23:8672. doi: 10.3390/ijms23158672

CrossRef Full Text | Google Scholar

72. Erb, M, and Kliebenstein, DJ. Plant secondary metabolites as defenses, regulators, and primary metabolites: the blurred functional trichotomy. Plant Physiol. (2020) 184:39–52. doi: 10.1104/PP.20.00433

CrossRef Full Text | Google Scholar

73. Divekar, PA, Narayana, S, Divekar, BA, Kumar, R, Gadratagi, BG, Ray, A, et al. Plant secondary metabolites as defense tools against herbivores for sustainable crop protection. Int J Mol Sci. (2022) 23:2690. doi: 10.3390/ijms23052690

CrossRef Full Text | Google Scholar

74. Chung, YC, Baek, JY, Kim, SR, Ko, HW, Bok, E, Shin, WH, et al. Capsaicin prevents degeneration of dopamine neurons by inhibiting glial activation and oxidative stress in the MPTP model of Parkinson’s disease. Exp Mol Med. (2017) 49:e298–9. doi: 10.1038/emm.2016.159

CrossRef Full Text | Google Scholar

75. Jiang, WX, Li, SH, and Li, XJ. Therapeutic potential of berberine against neurodegenerative diseases. Sci China Life Sci. (2015) 58:564–9. doi: 10.1007/s11427-015-4829-0

CrossRef Full Text | Google Scholar

76. Ren, X, and Chen, JF. Caffeine and Parkinson’s disease: multiple benefits and emerging mechanisms. Front Neurosci. (2020) 14:1–12. doi: 10.3389/fnins.2020.602697

CrossRef Full Text | Google Scholar

77. Quik, M, O’Leary, K, and Tanner, CM. Nicotine and Parkinson’s disease: implications for therapy. Mov Disord. (2008) 23:1641–52. doi: 10.1002/mds.21900

CrossRef Full Text | Google Scholar

78. Carvajal-Oliveros, A, Domínguez-Baleón, C, Zárate, RV, Campusano, JM, Narváez-Padilla, V, and Reynaud, E. Nicotine suppresses Parkinson’s disease like phenotypes induced by Synphilin-1 overexpression in Drosophila melanogaster by increasing tyrosine hydroxylase and dopamine levels. Sci Rep. (2021) 11:1–13. doi: 10.1038/s41598-021-88910-4

CrossRef Full Text | Google Scholar

79. Gonçalves, DF, Senger, LR, Foletto, JVP, Michelotti, P, Soares, FAA, and Dalla Corte, CL. Caffeine improves mitochondrial function in PINK1 B9-null mutant Drosophila melanogaster. J Bioenerg Biomembr. (2023) 55:1–13. doi: 10.1007/s10863-022-09952-5

CrossRef Full Text | Google Scholar

80. Siddique, YH, Naz, F, and Jyoti, S. Effect of capsaicin on the oxidative stress and dopamine content in the transgenic drosophila model of Parkinson’s disease. Acta Biol Hung. (2018) 69:115–24. doi: 10.1556/018.69.2018.2.1

CrossRef Full Text | Google Scholar

81. Xie, J, Tang, Z, Chen, Q, Jia, X, Li, C, Jin, M, et al. Clearance of stress-induced premature senescent cells alleviates the formation of abdominal aortic aneurysms. Aging Dis. (2023). doi: 10.14336/AD.2023.0215 [Online ahead of print].

CrossRef Full Text | Google Scholar

82. Al-Azab, M, Safi, M, Idiiatullina, E, Al-Shaebi, F, and Zaky, MY. Aging of mesenchymal stem cell: machinery, markers, and strategies of fighting. Cell Mol Biol Lett. (2022) 27:69. doi: 10.1186/s11658-022-00366-0

CrossRef Full Text | Google Scholar

83. Filip, K, Lewińska, A, Adamczyk-Grochala, J, Gammazza, AM, Cappello, F, Lauricella, M, et al. 5-Azacytidine inhibits the activation of senescence program and promotes cytotoxic autophagy during Trdmt1-mediated oxidative stress response in Insulinoma β-TC-6 cells. Cells. (2022) 11:1213. doi: 10.3390/cells11071213

CrossRef Full Text | Google Scholar

84. Mannarino, M, Cherif, H, Li, L, Sheng, K, Rabau, O, Jarzem, P, et al. Toll-like receptor 2 induced senescence in intervertebral disc cells of patients with back pain can be attenuated by o-vanillin. Arthritis Res Ther. (2021) 23:1–14. doi: 10.1186/s13075-021-02504-z

CrossRef Full Text | Google Scholar

85. Mijit, M, Caracciolo, V, Melillo, A, Amicarelli, F, and Giordano, A. Role of p53 in the regulation of cellular senescence. Biomol Ther. (2020) 10:1–16. doi: 10.3390/biom10030420

CrossRef Full Text | Google Scholar

86. Kirkland, JL, and Tchkonia, T. Cellular senescence: a translational perspective. EBioMedicine. (2017) 21:21–8. doi: 10.1016/j.ebiom.2017.04.013

CrossRef Full Text | Google Scholar

87. Davoodi-Roodbordeii, F, Afshar, M, Haji Abas Tabrizi, F, Choopani, S, Torkaman, G, Moayer, F, et al. Topical hydrogel containing Fumaria vaillantii Loisel. Extract enhances wound healing in rats. BMC Complement Altern Med. (2019) 19:1–9. doi: 10.1186/s12906-019-2645-y

CrossRef Full Text | Google Scholar

88. Khan, RA, Khan, MR, Sahreen, S, and Shah, NA. Hepatoprotective activity of Sonchus asper against carbon tetrachloride-induced injuries in male rats: a randomized controlled trial. BMC Complement Altern Med. (2012) 12:2–9. doi: 10.1186/1472-6882-12-90

CrossRef Full Text | Google Scholar

89. Palmieri, S, Pellegrini, M, Ricci, A, Compagnone, D, and Lo Sterzo, C. Chemical composition and antioxidant activity of thyme, hemp and coriander extracts: a comparison study of maceration, soxhlet, UAE and RSLDE Techniques. Foods. (2020) 9:1221. doi: 10.3390/foods9091221

CrossRef Full Text | Google Scholar

90. Zhang, L, Pitcher, LE, Prahalad, V, Niedernhofer, LJ, and Robbins, PD. Targeting cellular senescence with senotherapeutics: senolytics and senomorphics. FEBS J. (2023) 290:1362–83. doi: 10.1111/febs.16350

CrossRef Full Text | Google Scholar

91. Rizvi, SAA, Einstein, GP, Tulp, OL, Sainvil, F, and Branly, R. Introduction to traditional medicine and their role in prevention and treatment of emerging and re-emerging diseases. Biomol Ther. (2022) 12:1442. doi: 10.3390/biom12101442

CrossRef Full Text | Google Scholar

92. de la Rosa, LA, Moreno-Escamilla, JO, Rodrigo-García, J, and Alvarez-Parrilla, E. Phenolic compounds In: Postharvest Physiology and Biochemistry of Fruits and Vegetables. eds. E. M. Yahia and A. Carrillo-López. (2018) Cambridge, UK: Woodhead Publishing in Sawston.

Google Scholar

93. Matsuura, HN, and Fett-Neto, AG. Plant alkaloids: Main features, toxicity, and mechanisms of action. Plant Toxins. (2015) 2:1–15. doi: 10.1007/978-94-007-6728-7_2-1

CrossRef Full Text | Google Scholar

94. Gutiérrez-Grijalva, EP, López- Martínez, LX, Contreras-Angulo, LA, Elizalde-Romero, CA, and Heredia, JB. Plant alkaloids: structures and bioactive properties In:. Plant-Derived Bioactives: Chemistry and Mode of Action eds. M. Kumara Swamy . (2020) Singapore: Springer.

Google Scholar

95. Anand David, AV, Arulmoli, R, and Parasuraman, S. Overviews of biological importance of quercetin: a bioactive flavonoid. Pharmacogn Rev. (2016) 10:84–9. doi: 10.4103/0973-7847.194044

CrossRef Full Text | Google Scholar

96. Chiang, MC, Tsai, TY, and Wang, CJ. The potential benefits of quercetin for brain health: a review of anti-inflammatory and neuroprotective mechanisms. Int J Mol Sci. (2023) 24:1–16. doi: 10.3390/ijms24076328

CrossRef Full Text | Google Scholar

97. Mahmud, AR, Ema, TI, Siddiquee, MFR, Shahriar, A, Ahmed, H, Mosfeq-Ul-Hasan, M, et al. Natural flavonols: actions, mechanisms, and potential therapeutic utility for various diseases. Beni Suef Univ J Basic Appl Sci. (2023) 12:47. doi: 10.1186/s43088-023-00387-4

CrossRef Full Text | Google Scholar

98. Vishwas, S, Kumar, R, Khursheed, R, Ramanunny, A, Kumar, R, Awasthi, A, et al. Expanding arsenal against neurodegenerative diseases using quercetin based Nanoformulations: breakthroughs and bottlenecks. Curr Neuropharmacol. (2023) 21:1558–74. doi: 10.2174/1570159X20666220810105421

CrossRef Full Text | Google Scholar

99. Huang, W, Hickson, LTJ, Eirin, A, Kirkland, JL, and Lerman, LO. Cellular senescence: the good, the bad and the unknown. Nat Rev Nephrol. (2022) 18:611–27. doi: 10.1038/s41581-022-00601-z

CrossRef Full Text | Google Scholar

100. Wang, D, He, X, Wang, D, Peng, P, Xu, X, Gao, B, et al. Quercetin suppresses apoptosis and attenuates intervertebral disc degeneration via the SIRT1-autophagy pathway. Front Cell Dev Biol. (2020) 8:1–15. doi: 10.3389/fcell.2020.613006

CrossRef Full Text | Google Scholar

101. Khosropanah, MH, Zolbin, MM, Kajbafzadeh, AM, Amani, L, Harririan, I, Azimzadeh, A, et al. Evaluation and comparison of the effects of mature silkworm (Bombyx mori) and silkworm pupae extracts on Schwann cell proliferation and axon growth: an in vitro study. Iran J Pharm Res. (2022) 21:e133552. doi: 10.5812/ijpr-133552

CrossRef Full Text | Google Scholar

102. Mai, LX, Kang, SK, Jo, YY, Nguyen, P, Kim, AY, Kim, KY, et al. An alkaline protease-digestion of silkworm powder enhances its effects over Healthspan, autophagy, and mitochondria function in a rotenone-induced Drosophila model. Front Nutr. (2022) 9:1–14. doi: 10.3389/fnut.2022.808295

CrossRef Full Text | Google Scholar

103. Wang, HY, Zhao, JG, and Zhang, YQ. The flavonoid-rich ethanolic extract from the green cocoon shell of silkworm has excellent antioxidation, glucosidase inhibition, and cell protective effects in vitro. Food Nutr Res. (2020) 64:1–12. doi: 10.29219/fnr.v64.1637

CrossRef Full Text | Google Scholar

104. Abbadie, C, and Pluquet, O. Unfolded protein response (UPR) controls major senescence hallmarks. Trends Biochem Sci. (2020) 45:371–4. doi: 10.1016/j.tibs.2020.02.005

CrossRef Full Text | Google Scholar

105. Kwon, Y, Kim, JW, Jeoung, JA, Kim, M-S, and Kang, C. Autophagy is pro-senescence when seen in close-up, but anti-senescence in long-shot. Mol Cells. (2017) 40:607. doi: 10.14348/molcells.2017.0151

CrossRef Full Text | Google Scholar

106. Lee, Y, Kim, J, Kim, MS, Kwon, Y, Shin, S, Yi, H, et al. Coordinate regulation of the senescent state by selective autophagy. Dev Cell. (2021) 56:1512–1525.e7. doi: 10.1016/j.devcel.2021.04.008

CrossRef Full Text | Google Scholar

107. Slobodnyuk, K, Radic, N, Ivanova, S, Llado, A, Trempolec, N, Zorzano, A, et al. Autophagy-induced senescence is regulated by p38α signaling. Cell Death and Disease. (2019) 10:376. doi: 10.1038/s41419-019-1607-0

CrossRef Full Text | Google Scholar

108. Lee, DY, Song, MY, Han, YM, and Kim, EH. Hongjam prevents hepatic damage against ethanol-induced fatty liver disease in rats. J Asia Pac Entomol. (2023) 26:102046. doi: 10.1016/j.aspen.2023.102046

CrossRef Full Text | Google Scholar

109. Yang, J, Song, Y, Law, AD, Rogan, CJ, Shimoda, K, Djukovic, D, et al. Chronic blue light leads to accelerated aging in Drosophila by impairing energy metabolism and neurotransmitter levels. Front Aging. (2022) 3:1–14. doi: 10.3389/fragi.2022.983373

CrossRef Full Text | Google Scholar

110. Zhang, D, Shan, J, Liang, B, Zhong, L, Tang, H, Xu, Y, et al. Senolytic drug quercetin rescues survival from blue light toxicity in Drosophila model. Photochem Photobiol. (2022) 99:1115–21. doi: 10.1111/php.13734

CrossRef Full Text | Google Scholar

111. Subramanian, P, Kaliyamoorthy, K, Jayapalan, JJ, Shafinaz Abdul-Rahman, P, and Hashim, OH. Influence of quercetin in the temporal regulation of redox homeostasis in drosophila melanogaster. J Insect Sci. (2017) 17:68. doi: 10.1093/jisesa/iex040

CrossRef Full Text | Google Scholar

112. Pickering, AM, Staab, TA, Tower, J, Sieburth, D, and Davies, KJA. A conserved role for the 20S proteasome and Nrf2 transcription factor in oxidative stress adaptation in mammals, Caenorhabditis elegans and Drosophila melanogaster. J Exp Biol. (2013) 216:543–53. doi: 10.1242/jeb.074757

CrossRef Full Text | Google Scholar

113. Grandy, C, Port, F, Radzinski, M, Singh, K, Erz, D, Pfeil, J, et al. Remodeling of the focal adhesion complex by hydrogen-peroxide-induced senescence. Sci Rep. (2023) 13:1–17. doi: 10.1038/s41598-023-36347-2

CrossRef Full Text | Google Scholar

114. Martínez-Cué, C, and Rueda, N. Cellular senescence in neurodegenerative diseases. Front Cell Neurosci. (2020) 14:16. doi: 10.3389/fncel.2020.00016

CrossRef Full Text | Google Scholar

115. Si, Z, Sun, L, and Wang, X. Evidence and perspectives of cell senescence in neurodegenerative diseases. Biomed Pharmacother. (2021) 137:111327. doi: 10.1016/j.biopha.2021.111327

CrossRef Full Text | Google Scholar

116. Niveditha, S, Shivanandappa, T, and Ramesh, S. Ameliorative potential of natural antioxidants against Paraquat-induced oxidative stress and locomotor impairment in Drosophila melanogaster: a comparative study. Open Bioactive Compounds J. (2017) 5:43–56. doi: 10.2174/1874847301705010043

CrossRef Full Text | Google Scholar

117. She, J, Sheng, R, and Qin, ZH. Pharmacology and potential implications of nicotinamide adenine dinucleotide precursors. Aging Dis. (2021) 12:1879–97. doi: 10.14336/AD.2021.0523

CrossRef Full Text | Google Scholar

118. Wang, WW, Han, R, He, HJ, Li, J, Chen, SY, Gu, Y, et al. Administration of quercetin improves mitochondria quality control and protects the neurons in 6-OHDA-lesioned Parkinson’s disease models. Aging. (2021) 13:11738–51. doi: 10.18632/aging.202868

CrossRef Full Text | Google Scholar

119. Zhu, M, Han, S, and Fink, AL. Oxidized quercetin inhibits α-synuclein fibrillization. Biochim Biophys Acta Gen Subj. (2013) 1830:2872–81. doi: 10.1016/j.bbagen.2012.12.027

CrossRef Full Text | Google Scholar

120. Jembrek, MJ, Oršolić, N, Mandić, L, Sadžak, A, and Šegota, S. Anti-oxidative, anti-inflammatory and anti-apoptotic effects of flavonols: targeting nrf2, nf-ҡb and p53 pathways in neurodegeneration. Antioxidants. (2021) 10:1628. doi: 10.3390/antiox10101628

CrossRef Full Text | Google Scholar

121. Baul, HS, and Rajiniraja, M. Mechanistic study of the inhibition of monoamine oxidase-B by quercetin as the potential therapeutic strategy for Parkinson’s disease: an in silico approach. J Comput Methods Sci Eng. (2018) 18:1067–73. doi: 10.3233/JCM-180854

CrossRef Full Text | Google Scholar

122. Shafique, A, Akram, S, and Mushtaq, M. Fisetin: a senolytic drug In:. A Centum of Valuable Plant Bioactives. eds. M. Mushtaq and F. Anwar. (2021) MA, USA: Academic Press.

Google Scholar

123. Yadav, V, Wang, Z, Wei, C, Amo, A, Ahmed, B, Yang, X, et al. Phenylpropanoid pathway engineering: an emerging approach towards plant defense. Pathogens. (2020) 9:1–25. doi: 10.3390/pathogens9040312

CrossRef Full Text | Google Scholar

124. Yousefzadeh, MJ, Zhu, Y, McGowan, SJ, Angelini, L, Fuhrmann-Stroissnigg, H, Xu, M, et al. Fisetin is a senotherapeutic that extends health and lifespan. EBioMedicine. (2018) 36:18–28. doi: 10.1016/j.ebiom.2018.09.015

CrossRef Full Text | Google Scholar

125. Jhonsa, DJ, Badgujar, LB, Sutariya, BK, and Saraf, MN. Neuroprotective effect of flavonoids against paraquat induced oxidative stress and neurotoxicity in Drosophila melanogaster. Curr Topics Nutraceutical Res. (2016) 14:283–94.

Google Scholar

126. Watanabe, R, Kurose, T, Morishige, Y, and Fujimori, K. Protective effects of Fisetin against 6-OHDA-induced apoptosis by activation of PI3K-Akt signaling in human neuroblastoma SH-SY5Y cells. Neurochem Res. (2018) 43:488–99. doi: 10.1007/s11064-017-2445-z

CrossRef Full Text | Google Scholar

127. Wang, TH, Wang, SY, Wang, XD, Jiang, HQ, Yang, YQ, Wang, Y, et al. Fisetin exerts antioxidant and neuroprotective effects in multiple mutant hSOD1 models of amyotrophic lateral sclerosis by activating ERK. Neuroscience. (2018) 379:152–66. doi: 10.1016/j.neuroscience.2018.03.008

CrossRef Full Text | Google Scholar

128. Ahmad, A, Ali, T, Park, HY, Badshah, H, Rehman, SU, and Kim, MO. Neuroprotective effect of Fisetin against amyloid-Beta-induced cognitive/synaptic dysfunction, Neuroinflammation, and neurodegeneration in adult mice. Mol Neurobiol. (2017) 54:2269–85. doi: 10.1007/s12035-016-9795-4

CrossRef Full Text | Google Scholar

129. Currais, A, Prior, M, Dargusch, R, Armando, A, Ehren, J, Schubert, D, et al. Modulation of p25 and inflammatory pathways by fisetin maintains cognitive function in Alzheimer’s disease transgenic mice. Aging Cell. (2014) 13:379–90. doi: 10.1111/acel.12185

CrossRef Full Text | Google Scholar

130. Ravula, AR, Teegala, SB, Kalakotla, S, Pasangulapati, JP, Perumal, V, and Boyina, HK. Fisetin, potential flavonoid with multifarious targets for treating neurological disorders: an updated review. Eur J Pharmacol. (2021) 910:174492. doi: 10.1016/j.ejphar.2021.174492

CrossRef Full Text | Google Scholar

131. Katsuyama, Y, Kita, T, Funa, N, and Horinouchi, S. Curcuminoid biosynthesis by two type III polyketide synthases in the herb Curcuma longa. J Biol Chem. (2009) 284:11160–70. doi: 10.1074/jbc.M900070200

CrossRef Full Text | Google Scholar

132. Fu, W, Zhuang, W, Zhou, S, and Wang, X. Plant-derived neuroprotective agents in Parkinson’s disease. Am J Transl Res. (2015) 7:1189–202.

Google Scholar

133. Memarzia, A, Khazdair, MR, Behrouz, S, Gholamnezhad, Z, Jafarnezhad, M, Saadat, S, et al. Experimental and clinical reports on anti-inflammatory, antioxidant, and immunomodulatory effects of Curcuma longa and curcumin, an updated and comprehensive review. Biofactors. (2021) 47:311–50. doi: 10.1002/biof.1716

CrossRef Full Text | Google Scholar

134. Fuloria, S, Mehta, J, Chandel, A, Sekar, M, Rani, NNIM, Begum, MY, et al. A comprehensive review on the therapeutic potential of Curcuma longa Linn. In relation to its major active constituent curcumin. Front Pharmacol. (2022) 13:1–27. doi: 10.3389/fphar.2022.820806

CrossRef Full Text | Google Scholar

135. Mandal, M, Jaiswal, P, and Mishra, A. Role of curcumin and its nanoformulations in neurotherapeutics: a comprehensive review. J Biochem Mol Toxicol. (2020) 34:1–17. doi: 10.1002/jbt.22478

CrossRef Full Text | Google Scholar

136. Bielak-Zmijewska, A, Grabowska, W, Ciolko, A, Bojko, A, Mosieniak, G, Bijoch, Ł, et al. The role of curcumin in the modulation of ageing. Int J Mol Sci. (2019) 20:1239. doi: 10.3390/ijms20051239

CrossRef Full Text | Google Scholar

137. Lorinczova, HT, Fitzsimons, O, Mursaleen, L, Renshaw, D, Begum, G, and Zariwala, MG. Co-administration of iron and a bioavailable curcumin supplement increases serum bdnf levels in healthy adults. Antioxidants. (2020) 9:1–16. doi: 10.3390/antiox9080645

CrossRef Full Text | Google Scholar

138. Jin, T, Zhang, Y, Botchway, BOA, Zhang, J, Fan, R, Zhang, Y, et al. Curcumin can improve Parkinson’s disease via activating BDNF/PI3k/Akt signaling pathways. Food Chem Toxicol. (2022) 164:113091. doi: 10.1016/j.fct.2022.113091

CrossRef Full Text | Google Scholar

139. Azman, KF, and Zakaria, R. D-galactose-induced accelerated aging model: an overview. Biogerontology. (2019) 20:763–82. doi: 10.1007/s10522-019-09837-y

CrossRef Full Text | Google Scholar

140. Li, J, Han Wei, T, Ting Guo, L, Cao, J, Hui Feng, Y, Kang Guo, S, et al. Curcumin protects thymus against D-galactose-induced senescence in mice. Naunyn Schmiedeberg's Arch Pharmacol. (2021) 394:411–20. doi: 10.1007/s00210-020-01945-8

CrossRef Full Text | Google Scholar

141. Li, W, He, Y, Zhang, R, Zheng, G, and Zhou, D. The curcumin analog EF24 is a novel senolytic agent. Aging. (2019) 11:771–82. doi: 10.18632/aging.101787

CrossRef Full Text | Google Scholar

142. Joshi, P, Bisht, A, Joshi, S, Semwal, D, Nema, NK, Dwivedi, J, et al. Ameliorating potential of curcumin and its analogue in central nervous system disorders and related conditions: a review of molecular pathways. Phytother Res. (2022) 36:3143–80. doi: 10.1002/ptr.7522

CrossRef Full Text | Google Scholar

143. Grabowska, W, Suszek, M, Wnuk, M, Lewinska, A, Wasiak, E, Sikora, E, et al. Curcumin elevates sirtuin level but does not postpone in vitro senescence of human cells building the vasculature. Oncotarget. (2016) 7:19201–13. doi: 10.18632/oncotarget.8450

CrossRef Full Text | Google Scholar

144. Cheng, J, Wang, H, Bartlett, M, Stevenson, D, Pan, Y, Ho, MS, et al. Antioxidant blend of curcumin and broccoli seed extract exhibits protective effect on neurodegeneration and promotes Drosophila lifespan. ASN Neuro. (2021) 13:33. doi: 10.1177/17590914211015033

CrossRef Full Text | Google Scholar

145. Ingelsson, M . Alpha-synuclein oligomers-neurotoxic molecules in Parkinson’s disease and other lewy body disorders. Front Neurosci. (2016) 10:1–10. doi: 10.3389/fnins.2016.00408

CrossRef Full Text | Google Scholar

146. Kamelabad, MR, Sardroodi, JJ, Ebrahimzadeh, AR, and Ajamgard, M. Influence of curcumin and rosmarinic acid on disrupting the general properties of alpha-Synuclein oligomer: molecular dynamics simulation. J Mol Graph Model. (2021) 107:107963. doi: 10.1016/j.jmgm.2021.107963

CrossRef Full Text | Google Scholar

147. Ahmad, B, and Lapidus, LJ. Curcumin prevents aggregation in α-synuclein by increasing reconfiguration rate. J Biol Chem. (2012) 287:9193–9. doi: 10.1074/jbc.M111.325548

CrossRef Full Text | Google Scholar

148. Sharma, N, and Nehru, B. Curcumin affords neuroprotection and inhibits α-synuclein aggregation in lipopolysaccharide-induced Parkinson’s disease model. Inflammopharmacology. (2018) 26:349–60. doi: 10.1007/s10787-017-0402-8

CrossRef Full Text | Google Scholar

149. Liu, Y, Fallon, L, Lashuel, HA, Liu, Z, and Lansbury, PT. The UCH-L1 gene encodes two opposing enzymatic activities that affect α-synuclein degradation and Parkinson’s disease susceptibility. Cells. (2002) 111:209–18. doi: 10.1016/S0092-8674(02)01012-7

CrossRef Full Text | Google Scholar

150. Cartier, AE, Ubhi, K, Spencer, B, Vazquez-Roque, RA, Kosberg, KA, Fourgeaud, L, et al. Differential effects of UCHL1 modulation on alpha-synuclein in PD-like models of alpha-synucleinopathy. PLoS One. (2012) 7:e34713. doi: 10.1371/journal.pone.0034713

CrossRef Full Text | Google Scholar

151. Lowe, J, McDermott, H, Landon, M, Mayer, RJ, and Wilkinson, KD. Ubiquitin carboxyl-terminal hydrolase (PGP 9.5) is selectively present in ubiquitinated inclusion bodies characteristic of human neurodegenerative diseases. J Pathol. (1990) 161:153–60. doi: 10.1002/path.1711610210

CrossRef Full Text | Google Scholar

152. Yasuda, T, Nihira, T, Ren, YR, Cao, XQ, Wada, K, Setsuie, R, et al. Effects of UCH-L1 on α-synuclein over-expression mouse model of Parkinson’s disease. J Neurochem. (2009) 108:932–44. doi: 10.1111/j.1471-4159.2008.05827.x

CrossRef Full Text | Google Scholar

153. Khatri, D, and Juvekar, A. Kinetics of inhibition of monoamine oxidase using curcumin and ellagic acid. Pharmacogn Mag. (2016) 12:116. doi: 10.4103/0973-1296.182168

CrossRef Full Text | Google Scholar

154. Nguyen, TT, Vuu, MD, Huynh, MA, Yamaguchi, M, Tran, LT, and Dang, TPT. Curcumin effectively rescued Parkinson’s disease-like phenotypes in a novel Drosophila melanogaster model with dUCH knockdown. Oxidative Med Cell Longev. (2018) 2018:2038267. doi: 10.1155/2018/2038267

CrossRef Full Text | Google Scholar

155. Pandareesh, MD, Shrivash, MK, Naveen Kumar, HN, Misra, K, and Srinivas Bharath, MM. Curcumin Monoglucoside shows improved bioavailability and mitigates rotenone induced neurotoxicity in cell and Drosophila models of Parkinson’s disease. Neurochem Res. (2016) 41:3113–28. doi: 10.1007/s11064-016-2034-6

CrossRef Full Text | Google Scholar

156. Liu, H, Luo, R, Chen, X, Liu, J, Bi, Y, Zheng, L, et al. Tissue distribution profiles of three antiparkinsonian alkaloids from piper longum l. in rats determined by liquid chromatography-tandem mass spectrometry. J Chromatogr B Anal Technol Biomed Life Sci. (2013) 928:78–82. doi: 10.1016/j.jchromb.2013.03.021

CrossRef Full Text | Google Scholar

157. Siddique, YH, Naz, F, and Jyoti, S. Effect of curcumin on lifespan, activity pattern, oxidative stress, and apoptosis in the brains of transgenic drosophila model of Parkinson’s disease. Biomed Res Int. (2014) 2014:606928. doi: 10.1155/2014/606928

CrossRef Full Text | Google Scholar

158. Siddique, YH, Naz, F, Jyoti, S, and Afzal, M. Protective effect of curcumin in transgenic Drosophila melanogaster model of parkinson’s disease. Altern. Med. Stud. (2012) 2:e3. doi: 10.4081/ams.2012.e3

CrossRef Full Text | Google Scholar

159. Yang, D, Li, T, Liu, Z, Arbez, N, Yan, J, Moran, TH, et al. LRRK2 kinase activity mediates toxic interactions between genetic mutation and oxidative stress in a Drosophila model: suppression by curcumin. Neurobiol Dis. (2012) 47:385–92. doi: 10.1016/j.nbd.2012.05.020

CrossRef Full Text | Google Scholar

160. Górnicka, J, Mika, M, Wróblewska, O, Siudem, P, and Paradowska, K. Methods to improve the solubility of curcumin from turmeric. Life. (2023) 13:1–13. doi: 10.3390/life13010207

CrossRef Full Text | Google Scholar

161. Cas, MD, and Ghidoni, R. Dietary curcumin: correlation between bioavailability and health potential. Nutrients. (2019) 11:1–14. doi: 10.3390/nu11092147

CrossRef Full Text | Google Scholar

162. Askarizadeh, A, Barreto, GE, Henney, NC, Majeed, M, and Sahebkar, A. Neuroprotection by curcumin: a review on brain delivery strategies. Int J Pharm. (2020) 585:119476. doi: 10.1016/j.ijpharm.2020.119476

CrossRef Full Text | Google Scholar

163. Tsai, YM, Chien, CF, Lin, LC, and Tsai, TH. Curcumin and its nano-formulation: the kinetics of tissue distribution and blood-brain barrier penetration. Int J Pharm. (2011) 416:331–8. doi: 10.1016/j.ijpharm.2011.06.030

CrossRef Full Text | Google Scholar

164. Siddique, YH, Khan, W, Singh, BR, and Naqvi, AH. Synthesis of alginate-curcumin nanocomposite and its protective role in transgenic Drosophila model of Parkinson’s disease. ISRN Pharmacology. (2013) 2013:1–8. doi: 10.1155/2013/794582

CrossRef Full Text | Google Scholar

165. Mukherjee, S, Rananaware, P, Brahmkhatri, V, and Mishra, M. Polyvinylpyrrolidone-curcumin Nanoconjugate as a biocompatible, non-toxic material for biological applications. J Clust Sci. (2023) 34:395–414. doi: 10.1007/s10876-022-02230-9

CrossRef Full Text | Google Scholar

166. Zhang, N, Yan, F, Liang, X, Wu, M, Shen, Y, Chen, M, et al. Localized delivery of curcumin into brain with polysorbate 80-modified cerasomes by ultrasound-targeted microbubble destruction for improved Parkinson’s disease therapy. Theranostics. (2018) 8:2264–77. doi: 10.7150/thno.23734

CrossRef Full Text | Google Scholar

167. Si, H, and Liu, D. Dietary antiaging phytochemicals and mechanisms associated with prolonged survival. J Nutr Biochem. (2014) 25:581–91. doi: 10.1016/j.jnutbio.2014.02.001

CrossRef Full Text | Google Scholar

168. Khan, M, Park, S, Kim, HJ, Lee, KJ, Kim, DH, Baek, SH, et al. The resveratrol rice DJ526 callus significantly increases the lifespan of drosophila (resveratrol rice DJ526 callus for longevity). Nutrients. (2019) 11:983. doi: 10.3390/nu11050983

CrossRef Full Text | Google Scholar

169. Hasan, MM, and Baek, K-H. Induction of resveratrol biosynthesis in grape skins and leaves by Ultrasonication treatment. Korean J Hortic Sci Technol. (2013) 31:496–502. doi: 10.7235/hort.2013.12229

CrossRef Full Text | Google Scholar

170. Adedara, AO, Babalola, AD, Stephano, F, Awogbindin, IO, Olopade, JO, Rocha, JBT, et al. An assessment of the rescue action of resveratrol in parkin loss of function-induced oxidative stress in Drosophila melanogaster. Sci Rep. (2022) 12:1–12. doi: 10.1038/s41598-022-07909-7

CrossRef Full Text | Google Scholar

171. Wood, JG, Rogina, B, Lavu, S, Howitz, K, Helfand, SL, Tatar, M, et al. Sirtuin activators mimic caloric restriction and delay ageing in metazoans. Nature. (2004) 430:107–7. doi: 10.1038/nature02941

CrossRef Full Text | Google Scholar

172. Wu, Z, Wu, A, Dong, J, Sigears, A, and Lu, B. Grape skin extract improves muscle function and extends lifespan of a Drosophila model of Parkinson’s disease through activation of mitophagy. Exp Gerontol. (2018) 113:10–7. doi: 10.1016/j.exger.2018.09.014

CrossRef Full Text | Google Scholar

173. Sur, M, Dey, P, Sarkar, A, Bar, S, Banerjee, D, Bhat, S, et al. Sarm1 induction and accompanying inflammatory response mediates age-dependent susceptibility to rotenone-induced neurotoxicity. Cell Death Discov. (2018) 4:114. doi: 10.1038/s41420-018-0119-5

CrossRef Full Text | Google Scholar

174. Gerdts, J, Summers, DW, Sasaki, Y, DiAntonio, A, and Milbrandt, J. Sarm1-mediated axon degeneration requires both SAM and TIR interactions. J Neurosci. (2013) 33:13569–80. doi: 10.1523/JNEUROSCI.1197-13.2013

CrossRef Full Text | Google Scholar

175. Regitz, C, Fitzenberger, E, Mahn, FL, Dußling, LM, and Wenzel, U. Resveratrol reduces amyloid-beta (Aβ1–42)-induced paralysis through targeting proteostasis in an Alzheimer model of Caenorhabditis elegans. Eur J Nutr. (2016) 55:741–7. doi: 10.1007/s00394-015-0894-1

CrossRef Full Text | Google Scholar

176. Ali, D, Chen, L, Kowal, JM, Okla, M, Manikandan, M, AlShehri, M, et al. Resveratrol inhibits adipocyte differentiation and cellular senescence of human bone marrow stromal stem cells. Bone. (2020) 133:115252. doi: 10.1016/j.bone.2020.115252

CrossRef Full Text | Google Scholar

177. Csiszar, A, Sosnowska, D, Wang, M, Lakatta, EG, Sonntag, WE, and Ungvari, Z. Age-associated proinflammatory secretory phenotype in vascular smooth muscle cells from the non-human primate macaca mulatta: reversal by resveratrol treatment. J Gerontol Ser A Biol Sci Med Sci. (2012) 67 A(8):811–20. doi: 10.1093/gerona/glr228

CrossRef Full Text | Google Scholar

178. Liu, J, Jiao, K, Zhou, Q, Yang, J, Yang, K, Hu, C, et al. Resveratrol alleviates 27-hydroxycholesterol-induced senescence in nerve cells and affects zebrafish locomotor behavior via activation of SIRT1-mediated STAT3 signaling. Oxidative Med Cell Longev. (2021) 2021:6673343. doi: 10.1155/2021/6673343

CrossRef Full Text | Google Scholar

179. Xia, L, Wang, XX, Hu, XS, Guo, XG, Shang, YP, Chen, HJ, et al. Resveratrol reduces endothelial progenitor cells senescence through augmentation of telomerase activity by Akt-dependent mechanisms. Br J Pharmacol. (2008) 155:387–94. doi: 10.1038/bjp.2008.272

CrossRef Full Text | Google Scholar

180. Li, X, Lin, F, Wu, Y, Liu, N, Wang, J, Chen, R, et al. Resveratrol attenuates inflammation environment-induced nucleus pulposus cell senescence in vitro. Biosci Rep. (2019) 39:1–10. doi: 10.1042/BSR20190126

CrossRef Full Text | Google Scholar

181. Shaito, A, Posadino, AM, Younes, N, Hasan, H, Halabi, S, Alhababi, D, et al. Potential adverse effects of resveratrol: a literature review. Int J Mol Sci. (2020) 21:2084. doi: 10.3390/ijms21062084

CrossRef Full Text | Google Scholar

182. Ali Sangouni, A, Abdollahi, S, and Mozaffari-Khosravi, H. Effect of resveratrol supplementation on hepatic steatosis and cardiovascular indices in overweight subjects with type 2 diabetes: a double-blind, randomized controlled trial. BMC Cardiovasc Disord. (2022) 22:1–8. doi: 10.1186/s12872-022-02637-2

CrossRef Full Text | Google Scholar

183. Berman, AY, Motechin, RA, Wiesenfeld, MY, and Holz, MK. The therapeutic potential of resveratrol: a review of clinical trials. NPJ Precis Oncol. (2017) 1:35. doi: 10.1038/s41698-017-0038-6

CrossRef Full Text | Google Scholar

184. De Ligt, M, Bergman, M, Fuentes, RM, Essers, H, Moonen-Kornips, E, Havekes, B, et al. No effect of resveratrol supplementation after 6 months on insulin sensitivity in overweight adults: a randomized trial. Am J Clin Nutr. (2020) 112:1029–38. doi: 10.1093/ajcn/nqaa125

CrossRef Full Text | Google Scholar

185. Pezzuto, JM . Resveratrol: twenty years of growth, development and controversy. Biomol Ther. (2019) 27:1–14. doi: 10.4062/biomolther.2018.176

CrossRef Full Text | Google Scholar

186. Moskalev, A, Guvatova, Z, Lopes, IDA, Beckett, CW, Kennedy, BK, De Magalhaes, JP, et al. Targeting aging mechanisms: pharmacological perspectives. Trends Endocrinol Metab. (2022) 33:266–80. doi: 10.1016/j.tem.2022.01.007

CrossRef Full Text | Google Scholar

187. Bai, X, Ye, D, Shi, Y, Fan, M, Lu, P, Feng, Y, et al. Neuroprotection of SRT2104 in murine ischemia/reperfusion injury through the enhancement of Sirt1-mediated deacetylation. Investig Ophthalmol Vis Sci. (2023) 64:31. doi: 10.1167/iovs.64.4.31

CrossRef Full Text | Google Scholar

188. Mitchell, SJ, Martin-montalvo, A, Mercken, EM, Palacios, HH, Ward, TM, Abulwerdi, G, et al. The SIRT1 activator SRT1720 extends lifespan and improves health of mice fed a standard diet. Cell Rep. (2014) 6:836–43. doi: 10.1016/j.celrep.2014.01.031.The

CrossRef Full Text | Google Scholar

189. Manoj, P, Soniya, EV, Banerjee, NS, and Ravichandran, P. Recent studies on well-known spice, Piper longum Linn. Nat Prod Radiance. (2004) 3:222–7.

Google Scholar

190. He, K, Xu, H, Wang, T, Li, X, Guo, B, Li, D, et al. An improved synthesis of piperlongumine and the preliminary imaging evaluation on tumor targeting. J Radioanal Nucl Chem. (2020) 324:489–96. doi: 10.1007/s10967-020-07117-5

CrossRef Full Text | Google Scholar

191. Ji, L, Qu, L, Wang, C, Peng, W, Li, S, Yang, H, et al. Identification and optimization of piperlongumine analogues as potential antioxidant and anti-inflammatory agents via activation of Nrf2. Eur J Med Chem. (2021) 210:112965. doi: 10.1016/j.ejmech.2020.112965

CrossRef Full Text | Google Scholar

192. Peng, S, Zhang, B, Meng, X, Yao, J, and Fang, J. Synthesis of Piperlongumine analogues and discovery of nuclear factor erythroid 2-related factor 2 (Nrf2) activators as potential neuroprotective agents. J Med Chem. (2015) 58:5242–55. doi: 10.1021/acs.jmedchem.5b00410

CrossRef Full Text | Google Scholar

193. Sun, AL, Mu, WW, Li, YM, Sun, YL, Li, PX, Liu, RM, et al. Piperlongumine analogs promote A549 cell apoptosis through enhancing ROS generation. Molecules. (2021) 26:1–12. doi: 10.3390/molecules26113243

CrossRef Full Text | Google Scholar

194. Parama, D, Rana, V, Girisa, S, Verma, E, Daimary, UD, Thakur, KK, et al. The promising potential of piperlongumine as an emerging therapeutics for cancer. Explor Target Antitumor Ther. (2021) 2:323–54. doi: 10.37349/etat.2021.00049

CrossRef Full Text | Google Scholar

195. Kumar, S, Kamboj, J, and Sharma, S. Overview for various aspects of the health benefits of Piper Longum Linn. fruit. JAMS J Acupunct Meridian Stud. (2011) 4:134–40. doi: 10.1016/S2005-2901(11)60020-4

CrossRef Full Text | Google Scholar

196. Prasad, S, and Tyagi, AK. Historical spice as a future drug: therapeutic potential of Piperlongumine. Curr Pharm Des. (2016) 22:4151–9. doi: 10.2174/1381612822666160601103027

CrossRef Full Text | Google Scholar

197. Matsui, A, Hashiguchi, K, Suzuki, M, and Zhang-Akiyama, QM. Oxidation resistance 1 functions in the maintenance of cellular survival and genome stability in response to oxidative stress-independent DNA damage. Genes Environ. (2020) 42:1–6. doi: 10.1186/s41021-020-00168-w

CrossRef Full Text | Google Scholar

198. Zhang, X, Zhang, S, Liu, X, Wang, Y, Chang, J, Zhang, X, et al. Oxidation resistance 1 is a novel senolytic target. Aging Cell. (2018) 17:e12780. doi: 10.1111/acel.12780

CrossRef Full Text | Google Scholar

199. Wang, Y, Chang, J, Liu, X, Zhang, X, Zhang, S, Zhang, X, et al. Discovery of piperlongumine as a potential novel lead for the development of senolytic agents. Aging. (2016) 8:2915–26. doi: 10.18632/aging.101100

CrossRef Full Text | Google Scholar

200. Gugliandolo, A, Bramanti, P, and Mazzon, E. Activation of nrf2 by natural bioactive compounds: a promising approach for stroke? Int J Mol Sci. (2020) 21:1–44. doi: 10.3390/ijms21144875

CrossRef Full Text | Google Scholar

201. Barone, MC, Sykiotis, GP, and Bohmann, D. Genetic activation of Nrf2 signaling is sufficient to ameliorate neurodegenerative phenotypes in a Drosophila model of Parkinson’s disease. DMM Dis Models Mechanisms. (2011) 4:701–7. doi: 10.1242/dmm.007575

CrossRef Full Text | Google Scholar

202. Liu, J, Liu, W, Lu, Y, Tian, H, Duan, C, Lu, L, et al. Piperlongumine restores the balance of autophagy and apoptosis by increasing BCL2 phosphorylation in rotenone-induced Parkinson disease models. Autophagy. (2018) 14:845–61. doi: 10.1080/15548627.2017.1390636

CrossRef Full Text | Google Scholar

203. Liu, J, Liu, W, and Yang, H. Balancing apoptosis and autophagy for parkinson’s disease therapy: targeting BCL-2. ACS Chem Neurosci. (2019) 10:792–802. doi: 10.1021/acschemneuro.8b00356

CrossRef Full Text | Google Scholar

204. Kim, N, Do, J, Bae, J, Sung Jin, HK, Kim, JH, Inn, KS, et al. Piperlongumine inhibits neuroinflammation via regulating NF-κB signaling pathways in lipopolysaccharide-stimulated BV2 microglia cells. J Pharmacol Sci. (2018) 137:195–201. doi: 10.1016/j.jphs.2018.06.004

CrossRef Full Text | Google Scholar

205. Li, R, Lu, Y, Zhang, Q, Liu, W, Yang, R, Jiao, J, et al. Piperine promotes autophagy flux by P2RX4 activation in SNCA/α-synuclein-induced Parkinson disease model. Autophagy. (2022) 18:559–75. doi: 10.1080/15548627.2021.1937897

CrossRef Full Text | Google Scholar

206. Liu, Z, Li, T, Yang, D, and Smith, W. Curcumin protects against rotenone-induced neurotoxicity in cell and drosophila models of Parkinson’s disease. Adv Parkinsons Dis. (2013) 2:18–27. doi: 10.4236/apd.2013.21004

CrossRef Full Text | Google Scholar

207. Beal, MF . Parkinson’s disease: a model dilemma. Nature. (2010) 466, S8–S10. doi: 10.1038/466S8a

CrossRef Full Text | Google Scholar

208. Bove, J, Prou, D, Perier, C, and Przedborski, S. Toxin-induced models of Parkinson’s disease. NeuroRx. (2005) 2:484–94. doi: 10.1602/neurorx.2.3.484

CrossRef Full Text | Google Scholar

209. Dawson, TM, Golde, TE, and Tourenne, CL. Animal models of neurodegenerative diseases. Nat Neurosci. (2018) 176:139–48. doi: 10.1038/s41593-018-0236-8.Animal

CrossRef Full Text | Google Scholar

210. Ransohoff, RM . All (animal) models (of neurodegeneration) are wrong. Are they also useful? J Exp Med. (2018) 215:2955–8. doi: 10.1084/jem.20182042

CrossRef Full Text | Google Scholar

211. Maitra, U, and Ciesla, L. Using: Drosophila as a platform for drug discovery from natural products in Parkinson’s disease. MedChemComm. (2019) 10:867–79. doi: 10.1039/c9md00099b

CrossRef Full Text | Google Scholar

212. Moratilla-Rivera, I, Sánchez, M, Valdés-González, JA, and Gómez-Serranillos, MP. Natural products as modulators of Nrf2 signaling pathway in neuroprotection. Int J Mol Sci. (2023) 24:3748. doi: 10.3390/ijms24043748

CrossRef Full Text | Google Scholar

213. Mattson, MP, Culmsee, C, Yu, Z, and Camandola, S. Roles of nuclear factor κB in neuronal survival and plasticity. J Neurochem. (2000) 74:443–56. doi: 10.1046/j.1471-4159.2000.740443.x

CrossRef Full Text | Google Scholar

214. Lee, J, Jo, DG, Park, D, Chung, HY, and Mattson, MP. Adaptive cellular stress pathways as therapeutic targets of dietary phytochemicals: focus on the nervous system. Pharmacol Rev. (2014) 66:815–68. doi: 10.1124/pr.113.007757

CrossRef Full Text | Google Scholar

215. Kupis, W, Pałyga, J, Tomal, E, and Niewiadomska, E. The role of sirtuins in cellular homeostasis. J Physiol Biochem. (2016) 72:371–80. doi: 10.1007/s13105-016-0492-6

CrossRef Full Text | Google Scholar

216. Schwer, B, and Verdin, E. Conserved metabolic regulatory functions of Sirtuins. Cell Metab. (2008) 7:104–12. doi: 10.1016/j.cmet.2007.11.006

CrossRef Full Text | Google Scholar

217. Iside, C, Scafuro, M, Nebbioso, A, and Altucci, L. SIRT1 activation by natural phytochemicals: an overview. Front Pharmacol. (2020) 11:1–14. doi: 10.3389/fphar.2020.01225

CrossRef Full Text | Google Scholar

218. Lawal, HO, Terrell, A, Lam, HA, Djapri, C, Jang, J, Hadi, R, et al. Drosophila modifier screens to identify novel neuropsychiatric drugs including aminergic agents for the possible treatment of Parkinson’s disease and depression. Mol Psychiatry. (2014) 19:235–42. doi: 10.1038/mp.2012.170

CrossRef Full Text | Google Scholar

219. Fortin, JS, Benskey, MJ, Lookingland, KJ, Patterson, JS, Howey, EB, Goudreau, JL, et al. Restoring pars intermedia dopamine concentrations and tyrosine hydroxylase expression levels with pergolide: evidence from horses with pituitary pars intermedia dysfunction. BMC Vet Res. (2020) 16:1–8. doi: 10.1186/s12917-020-02565-3

CrossRef Full Text | Google Scholar

220. Huang, W, Li, Z, Kang, Y, Ye, X, and Feng, W. Drug repositioning based on the enhanced message passing and hypergraph convolutional networks. Biomol Ther. (2022) 12:1666. doi: 10.3390/biom12111666

CrossRef Full Text | Google Scholar

221. Camp, G, Flamez, A, Cosyns, B, Weytjens, C, Muyldermans, L, Zandijcke, M, et al. Treatment of Parkinsons disease with pergolide and relation to restrictive valvular heart disease. Lancet. (2004) 363:1179–83. doi: 10.1016/S0140-6736(04)15945-X

CrossRef Full Text | Google Scholar

222. Clausen, MF, Rørth, R, Torp-Pedersen, C, Westergaard, LM, Weeke, PE, Gislason, G, et al. Incidence of heart valve disease in women treated with the ergot-derived dopamine agonist bromocriptine. BMC Cardiovasc Disord. (2021) 21:1–10. doi: 10.1186/s12872-021-02439-y

CrossRef Full Text | Google Scholar

223. Liu, WM, Wu, RM, Chang, CH, Lin, JW, Liu, YC, and Lin, CH. National Trends of Antiparkinsonism treatment in Taiwan: 2004-2011. Parkinsons Dis. (2016) 2016:1859321. doi: 10.1155/2016/1859321

CrossRef Full Text | Google Scholar

224. Mei, M, Zhou, Y, Liu, M, Zhao, F, Wang, C, Ding, J, et al. Antioxidant and anti-inflammatory effects of dexrazoxane on dopaminergic neuron degeneration in rodent models of Parkinson’s disease. Neuropharmacology. (2019) 160:107758. doi: 10.1016/j.neuropharm.2019.107758

CrossRef Full Text | Google Scholar

225. Merello, M, Esteguy, M, Perazzo, F, and Leiguarda, R. Impaired levodopa response in Parkinson’s disease during melanoma therapy. Clin Neuropharmacol. (1992) 15:69–74. doi: 10.1097/00002826-199202000-00010

PubMed Abstract | CrossRef Full Text | Google Scholar

226. Amirmostofan, M, Pourahmad Jaktaji, J, Soleimani, Z, Tabib, K, Tanbakosazan, F, Omrani, M, et al. Synthesis and molecular-cellular mechanistic study of pyridine derivative of dacarbazine. Iran J Pharm Res. (2013) 12:255–65.

Google Scholar

227. Molloy, SA, Rowan, EN, O’Brien, JT, McKeith, IG, Wesnes, K, and Burn, DJ. Effect of levodopa on cognitive function in Parkinson’s disease with and without dementia and dementia with Lewy bodies. J Neurol Neurosurg Psychiatry. (2006) 77:1323–8. doi: 10.1136/jnnp.2006.098079

CrossRef Full Text | Google Scholar

228. Fang, X . Microbial treatment: the potential application for Parkinson’s disease. Neurol Sci. (2019) 40:51–8. doi: 10.1007/s10072-018-3641-6

CrossRef Full Text | Google Scholar

Glossary

Keywords: senescence, Parkinson’s disease, Drosophila , secondary metabolites, neuroprotection

Citation: Miller SJ, Darji RY, Walaieh S, Lewis JA and Logan R (2023) Senolytic and senomorphic secondary metabolites as therapeutic agents in Drosophila melanogaster models of Parkinson’s disease. Front. Neurol. 14:1271941. doi: 10.3389/fneur.2023.1271941

Received: 04 August 2023; Accepted: 04 September 2023;
Published: 28 September 2023.

Edited by:

Eduardo Rivadeneyra Dominguez, Universidad Veracruzana, Mexico

Reviewed by:

Dinesh Kumar Verma, Delaware State University, United States
Meghana Tare, Birla Institute of Technology and Science, India

Copyright © 2023 Miller, Darji, Walaieh, Lewis and Logan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Robert Logan, cm9iZXJ0LmxvZ2FuQGVuYy5lZHU=

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