Skip to main content

MINI REVIEW article

Front. Pharmacol., 31 May 2024
Sec. Neuropharmacology
This article is part of the Research Topic Novel Therapeutic Target and Drug Discovery for Neurological Diseases, Volume II View all 32 articles

Novel targets and therapies of metformin in dementia: old drug, new insights

Wenxing Cui,Wenxing Cui1,2Chen LvChen Lv3Panling GengPanling Geng1Mingdi FuMingdi Fu1Wenjing ZhouWenjing Zhou1Mingxiang XiongMingxiang Xiong1Tian Li
Tian Li4*
  • 1College of Life Sciences, Northwest University, Xi’an, China
  • 2Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi’an, China
  • 3Hangzhou Simo Co., Ltd., Hangzhou, China
  • 4School of Basic Medicine, Fourth Military Medical University, Xi’an, China

Dementia is a devastating disorder characterized by progressive and persistent cognitive decline, imposing a heavy public health burden on the individual and society. Despite numerous efforts by researchers in the field of dementia, pharmacological treatments are limited to relieving symptoms and fail to prevent disease progression. Therefore, studies exploring novel therapeutics or repurposing classical drugs indicated for other diseases are urgently needed. Metformin, a first-line antihyperglycemic drug used to treat type 2 diabetes, has been shown to be beneficial in neurodegenerative diseases including dementia. This review discusses and evaluates the neuroprotective role of metformin in dementia, from the perspective of basic and clinical studies. Mechanistically, metformin has been shown to improve insulin resistance, reduce neuronal apoptosis, and decrease oxidative stress and neuroinflammation in the brain. Collectively, the current data presented here support the future potential of metformin as a potential therapeutic strategy for dementia. This study also inspires a new field for future translational studies and clinical research to discover novel therapeutic targets for dementia.

1 Introduction

Dementia is a clinical syndrome characterized by progressive cognitive deterioration accompanied by behavioral, social and emotional function disability, imposing a heavy burden on society (van der Steen et al., 2018). Approximately 50 million people had dementia worldwide in 2018; (Alzheimers Dement, 2023); is estimated to triple worldwide in 2050 and is higher in low- and middle-income countries than in high-income countries (Prince et al., 2016; Scheltens et al., 2021). Although progress in treating neuropsychiatric symptoms is being reported, the benefit is limited and temporary (Moran et al., 2019). In addition, many disease-modifying therapies for dementia are discontinued due to toxicity or futility (Cummings et al., 2020). Improving insights into the biological processes, abundant biomarkers and clinical features of dementia contribute to the discovery of new therapeutic targets or reuse of classical drugs (Scheltens et al., 2021).

The molecular pathways underlying different types of dementia primarily involve oxidative stress, mitochondrial bioenergetics, neuroinflammation, neurodegeneration, and insulin resistance (Jurcău et al., 2022; Gaikwad et al., 2024). Oxidative stress is a classic molecular mechanism (Yang et al., 2016; Yang et al., 2017; Tang et al., 2021; Zhang et al., 2023). In recent years, emerging evidence has revealed the close relationship between diabetes, cognitive dysfunction and dementia (Little et al., 2022). People with type 2 diabetes (T2D) have a 1.5- to 2-fold higher risk of dementia than those without diabetes (Gregg et al., 2000; Cukierman et al., 2005; Roriz-Filho J et al., 2009). Diabetes and prediabetes have been shown to accelerate the progression from mild cognitive impairment to dementia (Xu et al., 2010; Xing et al., 2020; Li et al., 2022). T2D and dementia share the same risk factors, such as older age, obesity, and insulin resistance (Pugazhenthi et al., 2017; Arnold et al., 2018). At the cellular level, T2D has been implicated in oxidative stress, mitochondrial dysfunction, and inflammation that are also present in individuals with dementia (Pugazhenthi et al., 2017). Considering the common risk factors and pathological mechanisms prevailing in T2D and dementia, antidiabetic drugs may exert promising protective effects on brain metabolism and dementia. Antidiabetic drugs encompass metformin, sulfonylurea, thiazolidinediones (TZD), dipeptidyl peptidase-4, GLP-1 receptor agonists, sodium-glucose cotransporter 2 inhibitors, meglitinides, and alpha-glucosidase inhibitors (Slouha et al., 2023). Metformin is the first-line drug treatment for T2D, and exerts antidiabetic effects mainly by inhibiting hepatic glucose production (Duca et al., 2015; Li et al., 2020; Li and Ma, 2020; Li et al., 2021; Li et al., 2022; Du et al., 2022). Moreover, metformin activates 5′AMP-activated protein kinase (AMPK) (Ma et al., 2016; Li et al., 2017; Rena et al., 2017; Hu et al., 2021), improves insulin resistance (Ford et al., 2015), decreases neuronal apoptosis (Li et al., 2019), and reduces oxidative stress and the inflammatory response in the brain (Obafemi et al., 2020). In recent clinical studies, the use of metformin in elderly patients with T2DM is significantly linked to a substantial decrease in the risk of dementia (Sun et al., 2024; Tang et al., 2024). In light of the important roles of metformin in peripheral and central metabolism, the present review discusses recent breakthroughs in metformin treatment of dementia.

Based on currently published data, we speculate that metformin is a potential alternative drug candidate for the treatment of dementia. This review will first introduce the general background on dementia, mainly including Alzheimer’s disease (AD)-related dementia and T2D-related dementia, as well as the common pathways in T2D and dementia. Second, we describe the mechanisms by which metformin regulates peripheral and central metabolism in cell and animal models. Then, we summarize the clinical evidence that metformin is able to treat dementia. Finally, we propose potential research directions and provide insights into the treatment of dementia with metformin (Figure 1).

Figure 1
www.frontiersin.org

Figure 1. Novel target and therapies of metformin in dementia.

2 General background on dementia

2.1 AD and dementia

AD is the most common type of dementia in the elderly, and with the advent of the aging era, AD imposes a heavy economic and social burden worldwide (Diniz Pereira et al., 2021; Liao et al., 2021; Ning et al., 2022). According to a European memory clinic cohort, the median survival time depends on the type of dementia, and the survival time of individuals with AD-related dementia is 6.2 (6.0–6.5) years (Rhodius-Meester et al., 2019). The characteristic pathological changes of AD are neuronal fibers and axonal tangles in the brain, and the formation of large amounts of senile plaques; these changes drive neuronal dysfunction and cell death (Scheltens et al., 2021). Biomarkers for the diagnosis of AD were defined as the presence of amyloid β (Aβ) and phosphorylated tau (Jack et al., 2018). Strong evidence from a community-based cohort study suggests that advanced age and at least one APOE ε4 allele are the most powerful risk factors for AD (van der Lee et al., 2018). The risk of disease onset is doubled every 5 years after the age of 65 years, and approximately 50% of patients with AD carry the apolipoprotein E (APOE) ε4 allele (Pierce et al., 2017). Moreover, diabetes/metabolic syndrome, cardiovascular disorders and stroke are also established risk factors for AD (Tosto et al., 2016; Campos-Peña et al., 2017). In addition, stress and glucocorticoids have also recently been identified as potential factors that increase the risk of developing AD (Caruso et al., 2018). The latest perspectives noted that glucose metabolism moved to center stage in AD research (Kuehn, 2020; Park et al., 2023).

The treatment principles of AD include early diagnosis, timely treatment, and lifelong management. Although existing anti-AD drugs do not reverse the disease, they prevent cognitive decline and dementia, and patients should adhere to long-term treatment as much as possible. Currently approved drugs for the standard treatment of patients with AD include cholinesterase inhibitors and the N-methyl-D-aspartate receptor antagonist memantine (Scheltens et al., 2016). The first choice for the psychobehavioral symptoms of dementia is the nonpharmacological intervention, and psychotropic drugs can be used when necessary, but the efficacy and side effects should be assessed regularly and long-term use should be avoided. Agitation and aggression are common neuropsychiatric problems associated with AD, and brexpiprazole (an atypical antipsychotic), citalopram (a selective serotonin reuptake inhibitor) and nabilone (a cannabinoid) represent relatively safe treatment options for agitation and aggression (Liu et al., 2016). Other disease-modifying therapies for AD have also been developed. For example, aducanumab, BAN2401, and gantenerumab reduce the amyloid β plaques burden (van Dyck, 2018). Health education, psychological support and practical help can improve the quality of life of patients with AD. The future of personalized treatment for AD should include multimodal interventions, which are based on the individually customized incorporation of lifestyle changes and drugs.

2.2 T2D and dementia

Due to the growing elderly population, the incidence of both diabetes and neurodegenerative diseases is increasing worldwide. The relationship between diabetes and dementia is likely to be complex and multifactorial. The Rotterdam Study is the first to identify a remarkably increased risk of dementia in patients with T2D, including vascular dementia and AD (Ott et al., 1996; Ott et al., 1999). Compared with the general population, patients with T2D have a 1.5–2-fold higher risk of dementia (Gregg et al., 2000; Cukierman et al., 2005). One in every 10 to 15 cases of dementia is attributable to type 2 diabetes (Biessels et al., 2006). The mechanism of T2D-related dementia includes hyalinization of the basal membrane of cerebral arterioles due to diabetes, causing endothelial cell damage; meanwhile, the hemodynamics, vascular reactivity and autoregulation function are also affected, resulting in reduced cerebral blood flow and thereby increasing the occurrence of clinically silent cerebral infarction (Kalaria, 2002). Moreover, the metabolism of glucose, lipids and amino acids in the brains of patients with T2D may be disturbed due to factors such as poor blood glucose control, increased glycosylated hemoglobin levels, central and peripheral insulin resistance, oxidative stress and the inflammatory response, which affects the transmission of neurotransmitters and changes the homeostasis of the local microenvironment, coupled with long-term ischemia and hypoxia of the brain tissue, ultimately causing neuronal necrosis and apoptosis as well as cognitive decline (Berlanga-Acosta et al., 2020; Zhou et al., 2020; Abosharaf et al., 2024). Indeed, T2D and dementia share the same risk factors, such as older age, obesity, insulin resistance and physical inactivity. Thus, theoretically, drugs used to treat T2D could modify these risk factors and pathogenesis (Areosa Sastre et al., 2017).

2.3 Principal mechanisms linking T2D and AD

Although T2D appears to be primarily a peripheral organ disease and AD is a central nervous system disorder, evidence from experimental and clinical studies has indicated a close link between T2D and AD (Craft, 2009; Kuehn, 2020). A meta-analysis of diabetes and the risk of dementia included 28 prospective studies examining 89708 patients with diabetes and revealed that the relative risks of developing all types of dementia and AD were 1.73 and 1.56 in patients with diabetes, respectively (Gudala et al., 2013). First, accumulating evidence shows that glucose hypometabolism may play a key role in AD pathology (Kuehn, 2020). Insulin resistance in the brain may cause AD pathology, which has led some scientists to propose that AD may be a brain-specific “type 3 diabetes”. Insulin exerts neurotrophic effects at moderate concentrations, but excessive insulin in the brain leads to decreased Aβ clearance due to competition for the common and main clearance enzyme, insulin-degrading enzyme (IDE). Therefore, the accumulation of large amounts of Aβ in the brain due to pathological insulin levels contributes to the pathological features associated with AD (J et al., 2009). In addition, insulin may rapidly increase tau phosphorylation, which causes the accumulation of neurofibrillary tangles (NFTs) and senile plaques (Lesort and Johnson, 2000). Mechanistically, the mitogen-activated protein kinase (MAPK) pathway is activated in response to insulin receptor signaling and plays an important role in AD pathogenesis. The activation of MAPK regulates cell proliferation, is associated with Aβ plaques and NFTs and is also involved in tau phosphorylation, neuroinflammation, and synaptic plasticity (Munoz and Ammit, 2010). On the other hand, impaired glucose metabolism is considered a risk factor for AD, as evidenced by a decrease in glucose metabolism in the regions related to memory processing and learning (Mosconi et al., 2008). Chronic hyperglycemia might damage the brain through the accumulation of advanced glycation end products (AGEs) and increased oxidative stress (Vlassara and Uribarri, 2014). AGEs also accelerate the progression of AD through increases in Aβ levels, senile plaques and intracellular NFTs (Iannuzzi et al., 2014).

Second, decreases in the hippocampal volume and cortical thickness have been observed in patients with T2D, changes that are closely associated with cognitive decline (Ben Assayag et al., 2017). These harmful phenomena are potentially attributed to increased neuronal apoptosis and decreased neurogenesis. Impaired neurogenesis is associated with elevated levels of glucocorticoids and decreased expression of brain derived neurotrophic factor (BDNF), both of have been observed in patients with T2D and AD (Marosi and Mattson, 2014; Dey et al., 2017). Activation of the cyclic adenosine monophosphate (cAMP)/protein kinase (PKA) signaling pathway has been documented in AD and T2D mice and causes neuronal apoptosis (Li et al., 2018). Third, oxidative stress and neuroinflammation are two important pathological processes in T2D and AD. The brain is susceptible to an oxidative imbalance because of the attributes of a high energy demand and oxygen consumption, leading to a large number of oxidized polyunsaturated fatty acids (Mecocci et al., 2018). Oxidative stress causes peroxidation of mitochondrial membranes and enzymatic proteins, whose accumulation has been detected in the hippocampus and frontal and temporal lobes of patients with mild cognitive impairment (Zabel et al., 2018). Increased ROS generation and oxidative stress are also common in T2D (Dos Santos et al., 2018). Meanwhile, ROS-mediated oxidative stress is associated with an inflammatory phenotype (Sindhu et al., 2018). An excessive inflammatory response may lead to Aβ accumulation, Tau phosphorylation, and changes in synaptic plasticity, which lead to AD pathology (Carret-Rebillat et al., 2015; Falcicchia et al., 2020). Additionally, unresolved inflammation contributes to insulin resistant pathology, cell death, and excessive ceramide production, which subsequently aggravate inflammation (Keane et al., 2015). A meta-analysis of 170 studies revealed that peripheral inflammation is associated with AD (Shen et al., 2019). Other common mechanisms, such as blood-brain barrier (BBB) disruption (Kaminari et al., 2018), acetylcholinesterase (AChE) metabolism (Rao et al., 2007), and senescence (Palmer et al., 2015), likewise link AD and T2D closely. Pereira and his colleagues reported that 17 common biomarkers were differentially expressed in patients with AD or T2D compared with healthy controls. These biomarkers provide a strong reference for detecting patients with T2D at risk of developing AD (Diniz Pereira et al., 2021). Altogether, most of the current evidence indicates that T2D may hasten the progression of AD, and there are numerous shared mechanisms between AD and T2D.

3 Metformin acts as a potential protective agent against dementia

Considering the multifaceted links between T2D and dementia, researchers have good reasons to believe that antidiabetic drugs can treat dementia. Metformin, a biguanide derivative, is now widely used and a first-line therapeutic option for the treatment of T2D (Nathan et al., 2009). Metformin lowers hyperglycemia by inhibiting hepatic glucose production, improving insulin sensitivity, and increasing peripheral glucose uptake in muscle (Duca et al., 2015). In addition, metformin exerts positive effects by improving cell metabolism, decreasing neuronal apoptosis, and reducing oxidative stress and the inflammatory response in the brain. Hundreds of clinical studies have examined the protective effects of metformin on dementia, suggesting that metformin shows therapeutic potential as a treatment for dementia. Next, we will delineate the role of metformin in dementia at the basic and clinical levels.

3.1 Cell and animal experiments

The results of current preclinical and mechanistic studies have provided some insights into the effects of metformin on dementia. Metformin has the potential to activate the AMPK pathway, which plays a crucial role in the pathogenesis of dementia (Nikbakhtzadeh et al., 2021). There is increasing evidence suggesting that the activation of AMPK may have extensive neuroprotective effects for dementia, such as promoting autophagy, maintaining mitochondrial quality control, reducing insulin resistance, and alleviating oxidative stress (Yang et al., 2020). Some studies have provided evidence that metformin ameliorates cognitive impairment and memory loss. Allard et al. (Allard et al., 2016) found that prolonged metformin treatment prevents the high-fat diet-induced impairment in spatial reference memory in mice. Similarly, Chen et al. (2016) showed that chronic treatment of db/db mice with metformin ameliorates memory impairment, as confirmed by improved performance on behavioral tests. The generation of amyloid peptides and aggregation of abnormally folded proteins are important shared pathological characteristics of T2D and AD (Knowles et al., 2014). According to one study, metformin decreases hippocampal β-amyloid (Aβ) levels, inhibits neuronal apoptosis, and ameliorates the memory impairment in db/db mice (Chen et al., 2016). Metformin significantly decreases beta-secretase 1 (BACE1) protein expression and activity both in cell culture models and in vivo; this enzyme is involved in the production of Aβ(Hettich et al., 2014; Markowicz-Piasecka et al., 2017). As shown in another study by Gupta et al. (2011), metformin ameliorates neuronal insulin resistance and AD-like changes including markedly increased Aβ levels. Chakravarty and Nielsen (1986) also showed that the brains of db/db mice have multiple AD-like properties including impaired cognitive functions, increased phospho-tau and Aβ levels and decreased levels of synaptic proteins, changes that were attenuated by metformin (Li et al., 2012). In contrast to the abovementioned articles, Chen et al. (2009) found that metformin treatment of a transgenic mouse model of AD contributed to the increased expression of BACE1 in an AMPK-dependent manner, which led to an increase in Aβ production. This finding suggests a potential harmful effect on accelerating AD pathogenesis, and metformin should be used with caution in elderly patients with diabetic.

Metformin has also been shown to decrease the activity of acetylcholine esterase (AChE) and subsequently improves memory in diabetic rats. AChE is responsible for degrading acetylcholine, the main neurotransmitter involved in learning and memory processes (Bhutada et al., 2011). A recent study found that metformin might preserve hippocampal synaptic plasticity, inhibit AChE activity, and normalize acetylcholine clearance (Pilipenko et al., 2020). These data indicate a promising protective effect of metformin on severe cognitive decline. Many studies have revealed a pivotal role for oxidative stress in the pathological process of dementia, which subsequently increases the levels of its markers, such as oxidized lipids and proteins (Butterfield et al., 2006). The oxidation of proteins contributes to impaired cerebral glucose metabolism in AD, which in turn results in neuronal degeneration and cognitive deficits (Chen and Zhong, 2013). In addition, oxidative stress promotes Tau hyperphosphorylation (Sultana et al., 2006). Obafemi et al. (2020) found that metformin significantly reduces the levels of malondialdehyde and increases the activities of SOD, GPx and catalase. Moreover, the levels of ER stress markers are attenuated in the hippocampus. These results indicate the inhibitory effect of metformin on diabetes-induced oxidative stress. In addition to oxidative stress, the inflammatory response also plays a major role in the development and progression of T2DM and AD (Mushtaq et al., 2015). Lu et al. (2020) showed that metformin decreases neuroinflammation (IL-1 and IL-6) and oxidative stress (MDA and SOD) in APP/PS1 transgenic mice, thereby improving learning and memory abilities. Mitochondrial dysfunction has been proposed as an important process in the etiology of dementia and is closely associated with oxidative stress and the inflammatory response (Feng et al., 2024). Ruegsegger et al. (2019) observed high-fat diet-induced brain insulin resistance in mice with decreased oxidative enzyme activities, resulting in the accumulation of oxidatively damaged mitochondrial proteins and increased mitochondrial fission, which were counteracted by metformin treatment. These results suggest that metformin might restore brain mitochondrial function in the pathological insulin-resistant state.

Findings from other mechanistic studies showed that metformin treatment is closely associated with neuronal survival. Li et al. (2019) found that metformin inhibits apoptosis and decreases intracellular Ca and ROS signaling by reducing the neurotoxicity of excitatory amino acids in Aβ -treated SH-SY5Y cells. Moreover, Chen et al. (2016) reported that metformin alleviates Aβ-induced apoptosis in cultured hippocampal neurons in a JNK-dependent manner. In an in vivo study, metformin decreased neuronal loss in the hippocampus, enhanced neurogenesis, and attenuated spatial memory deficits in APP/PS1 mice (Ou et al., 2018). Another similar study also showed that metformin enhances neuronal survival and improves spatial memory in a mouse model of neurodegeneration (Ahmed et al., 2017). Metformin also has shown the promise in slowing age-related cognitive impairment by alleviating microglial activation and enhancing autophagy in the hippocampus. However, metformin treatment does not change neurogenesis or neosynaptogenesis in the hippocampus, suggesting that metformin does not improve cognitive function (Kodali et al., 2021). BBB permeability was seen in AD patients in clinical studies using dynamic contrast-enhanced magnetic resonance imaging (MRI) (Starr et al., 2009). Metformin has been shown to protect endothelial cell tight junction, prevent damage to the BBB through the activation of AMPK and inhibition of NF-κB (Zhao et al., 2016). In another study, Takata et al. (Ismail Hassan et al., 2020) also found that metformin upregulates the expression of ZO-1, occludin, and claudin-5 in brain microvascular endothelial cells via AMPK activation.

3.2 Human studies

The results from human studies have provided evidence that metformin prevents cognitive decline or dementia (Barbera et al., 2024; Doran et al., 2024). A cohort study utilizing UK primary healthcare records, involving 211,396 individuals, revealed that the use of metformin was linked to a reduced risk of dementia (adjusted HR = 0.86) and mild cognitive impairment (adjusted HR = 0.92) (Doran et al., 2024). In a cohort study of 12,220 metformin users, including 12,220 early terminators and 29,126 routine users, discontinuation of metformin treatment was found to be associated with an increased incidence of dementia. This association was largely independent of changes in HbA1c levels and insulin usage (Zimmerman et al., 2023). A longitudinal observational study involving 1393 participants found that the use of metformin was significantly associated with a reduced risk of dementia in individuals with type 2 diabetes, particularly those without neuropsychiatric disorders and non-steroidal anti-inflammatory drug use (Tang et al., 2024). Another large epidemiological clinical study from the Taiwan Health Insurance database, patients with T2D who took the antidiabetic drug metformin exhibited a remarkably decreased the risk of dementia compared with patients treated without medication after adjustment for cerebrovascular disease (Hsu et al., 2011). In the population-based Singapore Longitudinal Aging Study, older people with diabetes receiving metformin (n = 204) had a lower risk of cognitive decline (OR 0.49, 95% CI 0.25–0.60) than those not receiving metformin (n = 161). At the same time, individuals receiving metformin for more than 6 years experienced a lower level of cognitive decline than those receiving metformin for less than 6 years, suggesting that long-term metformin treatment may decrease the risk of cognitive impairment (Ng et al., 2014). A large retrospective cohort study of US veterans over 65 years of age with T2D found that metformin treatment was associated with a lower subsequent dementia risk than sulfonylurea treatment in veterans <75 years of age (HR 0.67, 95% CI 0.61–0.73) (Orkaby et al., 2017). Similarly, 8276 patients with diabetes presenting with dementia and 8276 matched patients with diabetes but without dementia were included in a large population study from German. Metformin prescribed as a monotherapy (OR  0.71, 95% CI 0.66–0.76) or as dual therapy with sulfonylureas (OR  0.90, 95% CI 0.89–0.92) was associated with a decrease in the risk of subsequent dementia (Bohlken et al., 2018). More recently, a large prospective observational study, the Sydney Memory and Ageing Study, found that older people with diabetes receiving metformin experienced slower cognitive decline and lower dementia risk. Incident dementia was significantly higher in the nonmetformin group than in the group receiving metformin (OR 5.29, 95% CI 1.17–23.88) (Samaras et al., 2020).

Pilot data from a randomized placebo-controlled crossover study showed that metformin penetrates the blood-brain barrier and improves learning, memory and attentional abilities in nondiabetic patients with mild cognitive impairment or mild dementia due to AD, although it did not exert a measurable effect on CSF AD biomarkers (Koenig et al., 2017). However, this exploratory study has some limitations including the limited sample size (20 subjects) and relatively short length of the trial (16 weeks). These positive findings are promising, especially in subjects with AD but without T2D, and warrant further exploration with larger sample sizes and longer time spans.

A comparison the efficacy (pro-cognitive effects) different antidiabetic agents for dementia and mild cognitive impairment is interesting. A network meta-analysis including nineteen eligible studies (n = 4855) was conducted to evaluate the effects of 6 different antidiabetic drugs (intranasal insulin, pioglitazone, rosiglitazone, metformin, sitagliptin and liraglutide) on dementia (Cao et al., 2018). Cao and others showed that the greatest pro-cognitive efficacy for 15–30 mg of pioglitazone compared to the placebo. However, the included studies have a high risk of bias, and the current analysis did not investigate moderating factors such as age, sex, and the ApoE ε4 allele, which weakens the reliability of the conclusion to some extent. A recent nationwide real-world longitudinal study (n = 701193) found that compared with metformin + sulfonylurea, metformin + dipeptidyl peptidase-4 inhibitor and metformin + thiazolidinediones were associated with a significantly lower risk of AD (HR = 0.922 and 0.812), suggesting that adding thiazolidinediones or dipeptidyl peptidase-4 inhibitor instead of sulfonylurea as second-line antidiabetic treatment contributed to delaying or preventing dementia (Kim et al., 2021).

In a cross-sectional study of 350 late middle-aged adults without dementia, the use of diabetes medication (with metformin being the most commonly used) was associated with reduced brain Aβ burden as determined by Positron Emission Tomography imaging (Luchsinger et al., 2020). In an analysis of investigating relationships among T2D treatment and AD biomarkers, McIntosh and others found that T2D treatment was related to lower CSF levels of p-tau, t-tau, and p-tau/Aβ1-42 when compared to untreated persons with T2D (McIntosh and Nation, 2019). Due to the limited sample size, the aforementioned studies did not individually investigate a specific therapeutic drug; however, it is worth noting that metformin is the most frequently utilized diabetes medication in these studies. Subsequent research endeavors should focus on examining the impact of metformin treatment on dementia-related markers in order to gain further insights into its effects.

Notably, however, other clinical evidence has shown that metformin treatment might increase the risk of dementia. For example, in the well-established UK General Practice Research Database (GPRD), long-term use of metformin was associated with a higher risk of developing AD-related dementia compared with no metformin use (OR 1.71, 95% CI 1.12–2.60) (Imfeld et al., 2012). Nevertheless, long-term use of sulfonylureas, thiazolidinediones, or insulin was not associated with an increased risk of developing AD. Another cross-sectional observational study showed that individuals with self-reported T2D who were taking metformin had worse cognitive performance than those who were not taking the drug (OR 2.23, 95% CI 1.05–4.75) (Moore et al., 2013). One explanation for this finding may be the lack of vitamin B12 due to the use of metformin. However, the small size of the sample, insufficient information regarding the duration of metformin use and the duration and severity of diabetes raised doubts about the validity of the findings. Thus, prospective and controlled trials are needed to explore the association between diabetes, dementia, and the effect of metformin therapy, as well the possible improvements in cognitive performance mediated by vitamin B12 supplementation. More recently, findings pooled from 5 population-based cohorts showed no significant association between metformin use and cognitive function, dementia prevalence, or brain structure (Weinstein et al., 2019). Overall, currently published data suggest a protective effect of metformin treatment on the brain, but further clinical trials are needed to support this conclusion.

4 Potential directions

Based on the current studies, we speculate that metformin exerts multidirectional effects on dementia (Feng et al., 2016; Zhang et al., 2017; Xin et al., 2019; Li et al., 2021; Zhang et al., 2021). However, many mixed conclusions have been reported, showing that metformin does not protect against dementia or even enhances the development of dementia. Well-designed, multicenter randomized and controlled clinical studies must be conducted to explore the effects of metformin on dementia. In addition, a high-quality Cochrane systematic review and meta-analysis is needed to provide a high level of evidence. As mentioned above, vitamin B12 deficiency may be an important reason why metformin promotes the development of dementia. Therefore, future clinical trials are needed to observe the effect of metformin on dementia in the presence of vitamin B12 supplementation. Next, metformin quickly crosses the blood-brain barrier and reaches various regions of the brain. In view of this biological property, metformin is a relatively good and appropriate drug candidate for neurodegenerative diseases such as dementia. However, little is known about what concentration of metformin reaches various regions of the brain and what is the most appropriate concentration needed. The safety and efficacy of the use of metformin in patients with different types of dementia must be developed. On the other hand, the biological activity of metformin is reduced after oral administration, and its structure should be modified to improve the absorption rate. It is essential to conduct further research on the impact of metformin on brain metabolism, cell signaling, inflammation, and autophagy, particularly in relation to its potential impact on insulin signaling regulation in brain. Considering the use of metformin in combination with other drugs or treatments, we should determine whether the combination of drugs can improve the management of dementia. Moreover, although the use of metformin alone does not induce hypoglycemia under normal circumstances, the potential side effect of hypoglycemia cannot be overlooked when considering hypoglycemic drugs for conditions such as dementia. In elderly individuals, falls resulting from hypoglycemia can have severe consequences, and patients should be advised to use these medications only when there is strong evidence of benefit for dementia. Future studies in the design of such drugs should consider the mechanism of such drugs, such as regulating the insulin pathway, having minimal effect on blood glucose (or stabilizing blood glucose within a reasonable range) (Huang et al., 2023).

Current research on dementia focuses mainly on elderly individuals because dementia mainly occurs in this population. Research data on the younger patients with dementia are lacking. Evidence for the efficacy of metformin in the treatment of dementia in younger people is also lacking. The mechanism of dementia is age-related; for example, intraneuronal amyloid levels increase 30–50-fold from young to old ages (Brewer et al., 2020). Extensive studies have been performed to ensure that people with dementia receive an accurate diagnosis and treatment of their condition. Future research studies should also focus on the prevalence of dementia in younger age groups and whether metformin exerts a protective effect on younger people with dementia.

Finally, the potential influence of metformin on aging mechanisms may be the basis for its overall protective effects against age-related neurodegenerative diseases. Human observational data supports the role of metformin in preventing age-related decline, and molecular analyses of septuagenarians treated with metformin indicate that it modulates multiple biological pathways in aging (Kulkarni et al., 2018). The properties of metformin will garner significant attention from the research and industry for the development of indications for metformin as an anti-aging therapeutic in humans. Aging is a complex process, and individuals within the same population may exhibit varying responses to metformin. Therefore, it is necessary to conduct large-scale, multicenter, randomized, placebo-controlled trials in order to further investigate the anti-aging effects of metformin.

5 Conclusion

Metformin, the most frequently used first-line antidiabetic drug, exerts a strong protective effect on cognitive impairment. These beneficial properties of metformin might stem from its molecular mechanism, including improved insulin resistance, decreased neuronal apoptosis, and reduced oxidative stress and inflammatory responses in the brain. Here, we proposed that metformin is a potential drug candidate for dementia. Based on the current studies, we 1) introduced the general background of dementia, including AD-related dementia and T2D-related dementia; 2) summarized the common principal mechanisms linking AD and T2D; 3) described the effects of metformin on dementia in cells, animals, and humans; and 4) provided potential research directions. Overall, metformin, with its rich properties that modulate multiple pathways, is a possible and attractive candidate for the prevention of neurodegenerative diseases such as dementia; however, further large-scale clinical randomized controlled studies are warranted to ensure its success.

Author contributions

WC: Writing–original draft, Validation, Software, Data curation. CL: Writing–original draft, Validation, Software, Data curation. PG: Writing–original draft, Validation. MF: Writing–original draft, Validation. WZ: Writing–original draft, Validation. MX: Writing–original draft, Data curation. TL: Writing–review and editing, Supervision, Resources, Conceptualization.

Funding

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

Acknowledgments

We thanked Home for Researcher for language editing service.

Conflict of interest

Author CL was employed by Hangzhou Simo Co., Ltd.

The remaining 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

Abosharaf, H. A., Elsonbaty, Y., Tousson, E., and T, M. M. (2024). Alzheimer's disease-related brain insulin resistance and the prospective therapeutic impact of metformin. J. Neuroendocrinol. 36, e13356. doi:10.1111/jne.13356

PubMed Abstract | CrossRef Full Text | Google Scholar

Ahmed, S., Mahmood, Z., Javed, A., Hashmi, S. N., Zerr, I., Zafar, S., et al. (2017). Effect of metformin on adult hippocampal neurogenesis: comparison with donepezil and links to cognition. J. Mol. Neurosci. 62, 88–98. doi:10.1007/s12031-017-0915-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Allard, J. S., Perez, E. J., Fukui, K., Carpenter, P., Ingram, D. K., and de Cabo, R. (2016). Prolonged metformin treatment leads to reduced transcription of Nrf2 and neurotrophic factors without cognitive impairment in older C57BL/6J mice. Behav. Brain Res. 301, 1–9. doi:10.1016/j.bbr.2015.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Alzheimers Dement (2023). 2023 Alzheimer's disease facts and figures. Alzheimers Dement. 19, 1598–1695.

PubMed Abstract | Google Scholar

Areosa Sastre, A., Vernooij, R. W., González-Colaço Harmand, M., and Martínez, G. (2017). Effect of the treatment of Type 2 diabetes mellitus on the development of cognitive impairment and dementia. Cochrane Database Syst. Rev. 6, Cd003804. doi:10.1002/14651858.CD003804.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

Arnold, S. E., Arvanitakis, Z., Macauley-Rambach, S. L., Koenig, A. M., Wang, H. Y., Ahima, R. S., et al. (2018). Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums. Nat. Rev. Neurol. 14, 168–181. doi:10.1038/nrneurol.2017.185

PubMed Abstract | CrossRef Full Text | Google Scholar

Barbera, M., Lehtisalo, J., Perera, D., Aspö, M., Cross, M., De Jager Loots, C. A., et al. (2024). A multimodal precision-prevention approach combining lifestyle intervention with metformin repurposing to prevent cognitive impairment and disability: the MET-FINGER randomised controlled trial protocol. Alzheimers Res. Ther. 16, 23. doi:10.1186/s13195-023-01355-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ben Assayag, E., Eldor, R., Korczyn, A. D., Kliper, E., Shenhar-Tsarfaty, S., Tene, O., et al. (2017). Type 2 diabetes mellitus and impaired renal function are associated with brain alterations and poststroke cognitive decline. Stroke 48, 2368–2374. doi:10.1161/STROKEAHA.117.017709

PubMed Abstract | CrossRef Full Text | Google Scholar

Berlanga-Acosta, J., Guillén-Nieto, G., Rodríguez-Rodríguez, N., Bringas-Vega, M. L., García-Del-Barco-Herrera, D., Berlanga-Saez, J. O., et al. (2020). Insulin resistance at the crossroad of alzheimer disease pathology: a review. Front. Endocrinol. (Lausanne) 11, 560375. doi:10.3389/fendo.2020.560375

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhutada, P., Mundhada, Y., Bansod, K., Tawari, S., Patil, S., Dixit, P., et al. (2011). Protection of cholinergic and antioxidant system contributes to the effect of berberine ameliorating memory dysfunction in rat model of streptozotocin-induced diabetes. Behav. Brain Res. 220, 30–41. doi:10.1016/j.bbr.2011.01.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Biessels, G. J., Staekenborg, S., Brunner, E., Brayne, C., and Scheltens, P. (2006). Risk of dementia in diabetes mellitus: a systematic review. Lancet Neurol. 5, 64–74. doi:10.1016/S1474-4422(05)70284-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Bohlken, J., Jacob, L., and Kostev, K. (2018). Association between the use of antihyperglycemic drugs and dementia risk: a case-control study. J. Alzheimer's Dis. JAD 66, 725–732. doi:10.3233/JAD-180808

CrossRef Full Text | Google Scholar

Brewer, G. J., Herrera, R. A., Philipp, S., Sosna, J., Reyes-Ruiz, J. M., and Glabe, C. G. (2020). Age-related intraneuronal aggregation of amyloid-β in endosomes, mitochondria, autophagosomes, and lysosomes. J. Alzheimer's Dis. JAD 73, 229–246. doi:10.3233/JAD-190835

CrossRef Full Text | Google Scholar

Butterfield, D. A., Poon, H. F., St Clair, D., Keller, J. N., Pierce, W. M., Klein, J. B., et al. (2006). Redox proteomics identification of oxidatively modified hippocampal proteins in mild cognitive impairment: insights into the development of Alzheimer's disease. Neurobiol. Dis. 22, 223–232. doi:10.1016/j.nbd.2005.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Campos-Peña, V., Toral-Rios, D., Becerril-Pérez, F., Sánchez-Torres, C., Delgado-Namorado, Y., Torres-Ossorio, E., et al. (2017). Metabolic syndrome as a risk factor for alzheimer's disease: is Aβ a crucial factor in both pathologies? Antioxidants redox Signal. 26, 542–560. doi:10.1089/ars.2016.6768

CrossRef Full Text | Google Scholar

Cao, B., Rosenblat, J. D., Brietzke, E., Park, C., Lee, Y., Musial, N., et al. (2018). Comparative efficacy and acceptability of antidiabetic agents for Alzheimer's disease and mild cognitive impairment: a systematic review and network meta-analysis. Diabetes Obes. Metab. 20, 2467–2471. doi:10.1111/dom.13373

PubMed Abstract | CrossRef Full Text | Google Scholar

Carret-Rebillat, A. S., Pace, C., Gourmaud, S., Ravasi, L., Montagne-Stora, S., Longueville, S., et al. (2015). Neuroinflammation and Aβ accumulation linked to systemic inflammation are decreased by genetic PKR down-regulation. Sci. Rep. 5, 8489. doi:10.1038/srep08489

PubMed Abstract | CrossRef Full Text | Google Scholar

Caruso, A., Nicoletti, F., Mango, D., Saidi, A., Orlando, R., and Scaccianoce, S. (2018). Stress as risk factor for Alzheimer's disease. Pharmacol. Res. 132, 130–134. doi:10.1016/j.phrs.2018.04.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Chakravarty, N., and Nielsen, E. H. (1986). Histamine release from saponin-permeabilized rat mast cells by calcium. Agents Actions 18, 65–67. doi:10.1007/BF01987984

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, B., Teng, Y., Zhang, X., Lv, X., and Yin, Y. (2016b). Metformin alleviated aβ-induced apoptosis via the suppression of JNK MAPK signaling pathway in cultured hippocampal neurons. BioMed Res. Int. 2016, 1421430. doi:10.1155/2016/1421430

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, F., Dong, R. R., Zhong, K. L., Ghosh, A., Tang, S. S., Long, Y., et al. (2016a). Antidiabetic drugs restore abnormal transport of amyloid-β across the blood-brain barrier and memory impairment in db/db mice. Neuropharmacology 101, 123–136. doi:10.1016/j.neuropharm.2015.07.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Zhou, K., Wang, R., Liu, Y., Kwak, Y. D., Ma, T., et al. (2009). Antidiabetic drug metformin (GlucophageR) increases biogenesis of Alzheimer's amyloid peptides via up-regulating BACE1 transcription. Proc. Natl. Acad. Sci. U. S. A. 106, 3907–3912. doi:10.1073/pnas.0807991106

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Z., and Zhong, C. (2013). Decoding Alzheimer's disease from perturbed cerebral glucose metabolism: implications for diagnostic and therapeutic strategies. Prog. Neurobiol. 108, 21–43. doi:10.1016/j.pneurobio.2013.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Craft, S. (2009). The role of metabolic disorders in Alzheimer disease and vascular dementia: two roads converged. Arch. Neurol. 66, 300–305. doi:10.1001/archneurol.2009.27

PubMed Abstract | CrossRef Full Text | Google Scholar

Cukierman, T., Gerstein, H. C., and Williamson, J. D. (2005). Cognitive decline and dementia in diabetes--systematic overview of prospective observational studies. Diabetologia 48, 2460–2469. doi:10.1007/s00125-005-0023-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Cummings, J., Lee, G., Ritter, A., Sabbagh, M., and Zhong, K. (2020). Alzheimer's disease drug development pipeline: 2020. Alzheimer's dementia (New York, N. Y.) 6, e12050. doi:10.1002/trc2.12050

CrossRef Full Text | Google Scholar

Dey, A., Hao, S., Wosiski-Kuhn, M., and Stranahan, A. M. (2017). Glucocorticoid-mediated activation of GSK3β promotes tau phosphorylation and impairs memory in type 2 diabetes. Neurobiol. Aging 57, 75–83. doi:10.1016/j.neurobiolaging.2017.05.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Diniz Pereira, J., Gomes Fraga, V., Morais Santos, A. L., Carvalho, M. D. G., Caramelli, P., and Braga Gomes, K. (2021). Alzheimer's disease and type 2 diabetes mellitus: a systematic review of proteomic studies. J. Neurochem. 156, 753–776. doi:10.1111/jnc.15166

PubMed Abstract | CrossRef Full Text | Google Scholar

Doran, W., Tunnicliffe, L., Muzambi, R., Rentsch, C. T., Bhaskaran, K., Smeeth, L., et al. (2024). Incident dementia risk among patients with type 2 diabetes receiving metformin versus alternative oral glucose-lowering therapy: an observational cohort study using UK primary healthcare records. BMJ Open Diabetes Res. Care 12, e003548. doi:10.1136/bmjdrc-2023-003548

PubMed Abstract | CrossRef Full Text | Google Scholar

Dos Santos, J. M., de Oliveira, D. S., Moreli, M. L., and Benite-Ribeiro, S. A. (2018). The role of mitochondrial DNA damage at skeletal muscle oxidative stress on the development of type 2 diabetes. Mol. Cell. Biochem. 449, 251–255. doi:10.1007/s11010-018-3361-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, M. R., Gao, Q. Y., Liu, C. L., Bai, L. Y., Li, T., and Wei, F. L. (2022). Exploring the pharmacological potential of metformin for neurodegenerative diseases. Front. Aging Neurosci. 14, 838173. doi:10.3389/fnagi.2022.838173

PubMed Abstract | CrossRef Full Text | Google Scholar

Duca, F. A., Côté, C. D., Rasmussen, B. A., Zadeh-Tahmasebi, M., Rutter, G. A., Filippi, B. M., et al. (2015). Metformin activates a duodenal Ampk-dependent pathway to lower hepatic glucose production in rats. Nat. Med. 21, 506–511. doi:10.1038/nm.3787

PubMed Abstract | CrossRef Full Text | Google Scholar

Falcicchia, C., Tozzi, F., Arancio, O., Watterson, D. M., and Origlia, N. (2020). Involvement of p38 MAPK in synaptic function and dysfunction. Int. J. Mol. Sci. 21, 5624. doi:10.3390/ijms21165624

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, J., Yang, Y., Zhou, Y., Wang, B., Xiong, H., Fan, C., et al. (2016). Bakuchiol attenuates myocardial ischemia reperfusion injury by maintaining mitochondrial function: the role of silent information regulator 1. Apoptosis 21, 532–545. doi:10.1007/s10495-016-1225-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, Y., Xu, Z., Jin, H., Chen, Y., Fu, C., Zhang, Y., et al. (2024). Metformin ameliorates mitochondrial damage induced by C9orf72 poly(GR) via upregulating AKT phosphorylation. J. Cell Biochem. 125, e30526. doi:10.1002/jcb.30526

PubMed Abstract | CrossRef Full Text | Google Scholar

Ford, R. J., Fullerton, M. D., Pinkosky, S. L., Day, E. A., Scott, J. W., Oakhill, J. S., et al. (2015). Metformin and salicylate synergistically activate liver AMPK, inhibit lipogenesis and improve insulin sensitivity. Biochem. J. 468, 125–132. doi:10.1042/BJ20150125

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaikwad, S., Senapati, S., Haque, M. A., and Kayed, R. (2024). Senescence, brain inflammation, and oligomeric tau drive cognitive decline in Alzheimer's disease: evidence from clinical and preclinical studies. Alzheimers Dement. 20, 709–727. doi:10.1002/alz.13490

PubMed Abstract | CrossRef Full Text | Google Scholar

Gregg, E. W., Yaffe, K., Cauley, J. A., Rolka, D. B., Blackwell, T. L., Narayan, K. M., et al. (2000). Is diabetes associated with cognitive impairment and cognitive decline among older women? Study of Osteoporotic Fractures Research Group. Arch. Intern. Med. 160, 174–180. doi:10.1001/archinte.160.2.174

PubMed Abstract | CrossRef Full Text | Google Scholar

Gudala, K., Bansal, D., Schifano, F., and Bhansali, A. (2013). Diabetes mellitus and risk of dementia: a meta-analysis of prospective observational studies. J. diabetes investigation 4, 640–650. doi:10.1111/jdi.12087

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, A., Bisht, B., and Dey, C. S. (2011). Peripheral insulin-sensitizer drug metformin ameliorates neuronal insulin resistance and Alzheimer's-like changes. Neuropharmacology 60, 910–920. doi:10.1016/j.neuropharm.2011.01.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Hettich, M. M., Matthes, F., Ryan, D. P., Griesche, N., Schröder, S., Dorn, S., et al. (2014). The anti-diabetic drug metformin reduces BACE1 protein level by interfering with the MID1 complex. PloS one 9, e102420. doi:10.1371/journal.pone.0102420

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsu, C. C., Wahlqvist, M. L., Lee, M. S., and Tsai, H. N. (2011). Incidence of dementia is increased in type 2 diabetes and reduced by the use of sulfonylureas and metformin. J. Alzheimer's Dis. JAD 24, 485–493. doi:10.3233/JAD-2011-101524

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, C., Cao, Y., Li, P., Tang, X., Yang, M., Gu, S., et al. (2021). Oleanolic acid induces autophagy and apoptosis via the AMPK-mTOR signaling pathway in colon cancer. J. Oncol. 2021, 8281718. doi:10.1155/2021/8281718

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, J., Huang, N., Cui, D., Shi, J., and Qiu, Y. (2023). Clinical antidiabetic medication used in Alzheimer's disease: from basic discovery to therapeutics development. Front. Aging Neurosci. 15, 1122300. doi:10.3389/fnagi.2023.1122300

PubMed Abstract | CrossRef Full Text | Google Scholar

Iannuzzi, C., Irace, G., and Sirangelo, I. (2014). Differential effects of glycation on protein aggregation and amyloid formation. Front. Mol. Biosci. 1, 9. doi:10.3389/fmolb.2014.00009

PubMed Abstract | CrossRef Full Text | Google Scholar

Imfeld, P., Bodmer, M., Jick, S. S., and Meier, C. R. (2012). Metformin, other antidiabetic drugs, and risk of Alzheimer's disease: a population-based case-control study. J. Am. Geriatr. Soc. 60, 916–921. doi:10.1111/j.1532-5415.2012.03916.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ismail Hassan, F., Didari, T., Baeeri, M., Gholami, M., Haghi-Aminjan, H., Khalid, M., et al. (2020). Metformin attenuates brain injury by inhibiting inflammation and regulating tight junction proteins in septic rats. Cell J. 22, 29–37. doi:10.22074/cellj.2020.7046

PubMed Abstract | CrossRef Full Text | Google Scholar

Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., et al. (2018). NIA-AA Research Framework: toward a biological definition of Alzheimer's disease. Alzheimer's dementia J. Alzheimer's Assoc. 14, 535–562. doi:10.1016/j.jalz.2018.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Jurcău, M. C., Andronie-Cioara, F. L., Jurcău, A., Marcu, F., Ţiț, D. M., Pașcalău, N., et al. (2022). The link between oxidative stress, mitochondrial dysfunction and neuroinflammation in the pathophysiology of alzheimer's disease: therapeutic implications and future perspectives. Antioxidants (Basel) 11, 2167. doi:10.3390/antiox11112167

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalaria, R. N. (2002). Small vessel disease and Alzheimer's dementia: pathological considerations. Cerebrovasc. Dis. 13 (Suppl. 2), 48–52. doi:10.1159/000049150

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaminari, A., Tsilibary, E. C., and Tzinia, A. (2018). A new perspective in utilizing MMP-9 as a therapeutic target for alzheimer's disease and type 2 diabetes mellitus. J. Alzheimer's Dis. JAD 64, 1–16. doi:10.3233/JAD-180035

CrossRef Full Text | Google Scholar

Keane, K. N., Cruzat, V. F., Carlessi, R., de Bittencourt, P. I., and Newsholme, P. (2015). Molecular events linking oxidative stress and inflammation to insulin resistance and β-cell dysfunction. Oxidative Med. Cell. Longev. 2015, 181643. doi:10.1155/2015/181643

CrossRef Full Text | Google Scholar

Kim, W. J., Noh, J. H., Han, K., and Park, C. Y. (2021). The association between second-line oral antihyperglycemic medication on types of dementia in type 2 diabetes: a nationwide real-world longitudinal study. J. Alzheimer's Dis. JAD 81, 1263–1272. doi:10.3233/JAD-201535

CrossRef Full Text | Google Scholar

Knowles, T. P., Vendruscolo, M., and Dobson, C. M. (2014). The amyloid state and its association with protein misfolding diseases. Nat. Rev. Mol. Cell Biol. 15, 384–396. doi:10.1038/nrm3810

PubMed Abstract | CrossRef Full Text | Google Scholar

Kodali, M., Attaluri, S., Madhu, L. N., Shuai, B., Upadhya, R., Gonzalez, J. J., et al. (2021). Metformin treatment in late middle age improves cognitive function with alleviation of microglial activation and enhancement of autophagy in the hippocampus. Aging Cell 20, e13277. doi:10.1111/acel.13277

PubMed Abstract | CrossRef Full Text | Google Scholar

Koenig, A. M., Mechanic-Hamilton, D., Xie, S. X., Combs, M. F., Cappola, A. R., Xie, L., et al. (2017). Effects of the insulin sensitizer metformin in alzheimer disease: pilot data from a randomized placebo-controlled crossover study. Alzheimer Dis. Assoc. Disord. 31, 107–113. doi:10.1097/WAD.0000000000000202

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuehn, B. M. (2020). In alzheimer research, glucose metabolism moves to center stage. JAMA 323, 297–299. doi:10.1001/jama.2019.20939

PubMed Abstract | CrossRef Full Text | Google Scholar

Kulkarni, A. S., Brutsaert, E. F., Anghel, V., Zhang, K., Bloomgarden, N., Pollak, M., et al. (2018). Metformin regulates metabolic and nonmetabolic pathways in skeletal muscle and subcutaneous adipose tissues of older adults. Aging Cell 17, e12723. doi:10.1111/acel.12723

PubMed Abstract | CrossRef Full Text | Google Scholar

Lesort, M., and Johnson, G. V. (2000). Insulin-like growth factor-1 and insulin mediate transient site-selective increases in tau phosphorylation in primary cortical neurons. Neuroscience 99, 305–316. doi:10.1016/s0306-4522(00)00200-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, H., Yang, S., Wu, J., Ji, L., Zhu, L., Cao, L., et al. (2018). cAMP/PKA signaling pathway contributes to neuronal apoptosis via regulating IDE expression in a mixed model of type 2 diabetes and Alzheimer's disease. J. Cell. Biochem. 119, 1616–1626. doi:10.1002/jcb.26321

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., Deng, J., Sheng, W., and Zuo, Z. (2012). Metformin attenuates Alzheimer's disease-like neuropathology in obese, leptin-resistant mice. Pharmacol. Biochem. Behav. 101, 564–574. doi:10.1016/j.pbb.2012.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, L. X., Liu, M. Y., Jiang, X., Xia, Z. H., Wang, Y. X., An, D., et al. (2019). Metformin inhibits Aβ25-35 -induced apoptotic cell death in SH-SY5Y cells. Basic Clin. Pharmacol. Toxicol. 125, 439–449. doi:10.1111/bcpt.13279

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., Jiang, S., Yang, Z., Ma, Z., Yi, W., Wang, D., et al. (2017). Targeting the energy guardian AMPK: another avenue for treating cardiomyopathy? Cell Mol. Life Sci. 74, 1413–1429. doi:10.1007/s00018-016-2407-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., and Ma, H. (2020). Questions regarding association between preoperative metformin exposure and postoperative outcomes in adults with type 2 diabetes. JAMA Surg. 155, 1171. doi:10.1001/jamasurg.2020.3769

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., Providencia, R., Jiang, W., Liu, M., Yu, L., Gu, C., et al. (2022b). Association of metformin with the mortality and incidence of cardiovascular events in patients with pre-existing cardiovascular diseases. Drugs 82, 311–322. doi:10.1007/s40265-021-01665-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., Providencia, R., Mu, N., Yin, Y., Chen, M., Wang, Y., et al. (2021a). Association of metformin monotherapy or combined therapy with cardiovascular risks in patients with type 2 diabetes mellitus. Cardiovasc Diabetol. 20, 30. doi:10.1186/s12933-020-01202-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., Yin, Y., Mu, N., Wang, Y., Liu, M., Chen, M., et al. (2020). Metformin-enhanced cardiac AMP-activated protein kinase/atrogin-1 pathways inhibit charged multivesicular body protein 2B accumulation in ischemia-reperfusion injury. Front. Cell Dev. Biol. 8, 621509. doi:10.3389/fcell.2020.621509

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, X., Liu, L., Li, T., Liu, M., Wang, Y., Ma, H., et al. (2021b). SIRT6 in senescence and aging-related cardiovascular diseases. Front. Cell Dev. Biol. 9, 641315. doi:10.3389/fcell.2021.641315

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Li, T., Zhou, Z., and Xiao, Y. (2022a). Emerging roles of Galectin-3 in diabetes and diabetes complications: a snapshot. Rev. Endocr. Metab. Disord. 23, 569–577. doi:10.1007/s11154-021-09704-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Liao, W., Xu, J., Li, B., Ruan, Y., Li, T., and Liu, J. (2021). Deciphering the roles of metformin in alzheimer's disease: a snapshot. Front. Pharmacol. 12, 728315. doi:10.3389/fphar.2021.728315

PubMed Abstract | CrossRef Full Text | Google Scholar

Little, K., Llorián-Salvador, M., Scullion, S., Hernández, C., Simó-Servat, O., Del Marco, A., et al. (2022). Common pathways in dementia and diabetic retinopathy: understanding the mechanisms of diabetes-related cognitive decline. Trends Endocrinol. Metab. 33, 50–71. doi:10.1016/j.tem.2021.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, C. S., Ruthirakuhan, M., Chau, S. A., Herrmann, N., Carvalho, A. F., and Lanctôt, K. L. (2016). Pharmacological management of agitation and aggression in alzheimer's disease: a review of current and novel treatments. Curr. Alzheimer Res. 13, 1134–1144. doi:10.2174/1567205013666160502122933

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, X. Y., Huang, S., Chen, Q. B., Zhang, D., Li, W., Ao, R., et al. (2020). Metformin ameliorates Aβ pathology by insulin-degrading enzyme in a transgenic mouse model of alzheimer's disease. Oxidative Med. Cell. Longev. 2020, 2315106. doi:10.1155/2020/2315106

CrossRef Full Text | Google Scholar

Luchsinger, J. A., Palta, P., Rippon, B., Sherwood, G., Soto, L., Ceballos, F., et al. (2020). Pre-diabetes, but not type 2 diabetes, is related to brain amyloid in late middle-age. J. Alzheimers Dis. 75, 1241–1252. doi:10.3233/JAD-200232

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Z., Fan, C., Yang, Y., Di, S., Hu, W., Li, T., et al. (2016). Thapsigargin sensitizes human esophageal cancer to TRAIL-induced apoptosis via AMPK activation. Sci. Rep. 6, 35196. doi:10.1038/srep35196

PubMed Abstract | CrossRef Full Text | Google Scholar

Markowicz-Piasecka, M., Sikora, J., Szydłowska, A., Skupień, A., Mikiciuk-Olasik, E., and Huttunen, K. M. (2017). Metformin - a future therapy for neurodegenerative diseases: theme: drug discovery, development and delivery in alzheimer's disease guest editor: davide brambilla. Pharm. Res. 34, 2614–2627. doi:10.1007/s11095-017-2199-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Marosi, K., and Mattson, M. P. (2014). BDNF mediates adaptive brain and body responses to energetic challenges. Trends Endocrinol. Metab. 25, 89–98. doi:10.1016/j.tem.2013.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

McIntosh, E. C., and Nation, D. A.Alzheimer’s Disease Neuroimaging Initiative (2019). Importance of treatment status in links between type 2 diabetes and alzheimer's disease. Diabetes Care 42, 972–979. doi:10.2337/dc18-1399

PubMed Abstract | CrossRef Full Text | Google Scholar

Mecocci, P., Boccardi, V., Cecchetti, R., Bastiani, P., Scamosci, M., Ruggiero, C., et al. (2018). A long journey into aging, brain aging, and alzheimer's disease following the oxidative stress tracks. J. Alzheimer's Dis. JAD 62, 1319–1335. doi:10.3233/JAD-170732

CrossRef Full Text | Google Scholar

Moore, E. M., Mander, A. G., Ames, D., Kotowicz, M. A., Carne, R. P., Brodaty, H., et al. (2013). Increased risk of cognitive impairment in patients with diabetes is associated with metformin. Diabetes Care 36, 2981–2987. doi:10.2337/dc13-0229

PubMed Abstract | CrossRef Full Text | Google Scholar

Moran, C., Callisaya, M. L., Srikanth, V., and Arvanitakis, Z. (2019). Diabetes therapies for dementia. Curr. Neurol. Neurosci. Rep. 19, 58. doi:10.1007/s11910-019-0973-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Mosconi, L., Pupi, A., and De Leon, M. J. (2008). Brain glucose hypometabolism and oxidative stress in preclinical Alzheimer's disease. Ann. N. Y. Acad. Sci. 1147, 180–195. doi:10.1196/annals.1427.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Munoz, L., and Ammit, A. J. (2010). Targeting p38 MAPK pathway for the treatment of Alzheimer's disease. Neuropharmacology 58, 561–568. doi:10.1016/j.neuropharm.2009.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Mushtaq, G., Khan, J. A., Kumosani, T. A., and Kamal, M. A. (2015). Alzheimer's disease and type 2 diabetes via chronic inflammatory mechanisms. Saudi J. Biol. Sci. 22, 4–13. doi:10.1016/j.sjbs.2014.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Nathan, D. M., Buse, J. B., Davidson, M. B., Ferrannini, E., Holman, R. R., Sherwin, R., et al. (2009). Medical management of hyperglycaemia in type 2 diabetes mellitus: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetologia 52, 17–30. doi:10.1007/s00125-008-1157-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Ng, T. P., Feng, L., Yap, K. B., Lee, T. S., Tan, C. H., and Winblad, B. (2014). Long-term metformin usage and cognitive function among older adults with diabetes. J. Alzheimer's Dis. JAD 41, 61–68. doi:10.3233/JAD-131901

PubMed Abstract | CrossRef Full Text | Google Scholar

Nikbakhtzadeh, M., Shaerzadeh, F., and Ashabi, G. (2021). Highlighting the protective or degenerative role of AMPK activators in dementia experimental models. CNS Neurol. Disord. Drug Targets 20, 786–801. doi:10.2174/1871527320666210526160214

PubMed Abstract | CrossRef Full Text | Google Scholar

Ning, P., Luo, A., Mu, X., Xu, Y., and Li, T. (2022). Exploring the dual character of metformin in Alzheimer's disease. Neuropharmacology 207, 108966. doi:10.1016/j.neuropharm.2022.108966

PubMed Abstract | CrossRef Full Text | Google Scholar

Obafemi, T. O., Olasehinde, O. R., Olaoye, O. A., Jaiyesimi, K. F., Adewumi, F. D., Adewale, O. B., et al. (2020). Metformin/Donepezil combination modulates brain antioxidant status and hippocampal endoplasmic reticulum stress in type 2 diabetic rats. J. diabetes metabolic Disord. 19, 499–510. doi:10.1007/s40200-020-00541-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Orkaby, A. R., Cho, K., Cormack, J., Gagnon, D. R., and Driver, J. A. (2017). Metformin vs sulfonylurea use and risk of dementia in US veterans aged ≥65 years with diabetes. Neurology 89, 1877–1885. doi:10.1212/WNL.0000000000004586

PubMed Abstract | CrossRef Full Text | Google Scholar

Ott, A., Stolk, R. P., Hofman, A., van Harskamp, F., Grobbee, D. E., and Breteler, M. M. (1996). Association of diabetes mellitus and dementia: the Rotterdam Study. Diabetologia 39, 1392–1397. doi:10.1007/s001250050588

PubMed Abstract | CrossRef Full Text | Google Scholar

Ott, A., Stolk, R. P., van Harskamp, F., Pols, H. A., Hofman, A., and Breteler, M. M. (1999). Diabetes mellitus and the risk of dementia: the Rotterdam Study. Neurology 53, 1937–1942. doi:10.1212/wnl.53.9.1937

PubMed Abstract | CrossRef Full Text | Google Scholar

Ou, Z., Kong, X., Sun, X., He, X., Zhang, L., Gong, Z., et al. (2018). Metformin treatment prevents amyloid plaque deposition and memory impairment in APP/PS1 mice. Brain, Behav. Immun. 69, 351–363. doi:10.1016/j.bbi.2017.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Palmer, A. K., Tchkonia, T., LeBrasseur, N. K., Chini, E. N., Xu, M., and Kirkland, J. L. (2015). Cellular senescence in type 2 diabetes: a therapeutic opportunity. Diabetes 64, 2289–2298. doi:10.2337/db14-1820

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, J. C., Lim, H., Byun, M. S., Yi, D., Byeon, G., Jung, G., et al. (2023). Sex differences in the progression of glucose metabolism dysfunction in Alzheimer's disease. Exp. Mol. Med. 55, 1023–1032. doi:10.1038/s12276-023-00993-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Pierce, A. L., Bullain, S. S., and Kawas, C. H. (2017). Late-onset alzheimer disease. Neurol. Clin. 35, 283–293. doi:10.1016/j.ncl.2017.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Pilipenko, V., Narbute, K., Pupure, J., Langrate, I. K., Muceniece, R., and Kluša, V. (2020). Neuroprotective potential of antihyperglycemic drug metformin in streptozocin-induced rat model of sporadic Alzheimer's disease. Eur. J. Pharmacol. 881, 173290. doi:10.1016/j.ejphar.2020.173290

PubMed Abstract | CrossRef Full Text | Google Scholar

Prince, M., Ali, G. C., Guerchet, M., Prina, A. M., Albanese, E., and Wu, Y. T. (2016). Recent global trends in the prevalence and incidence of dementia, and survival with dementia. Alzheimers Res. Ther. 8, 23. doi:10.1186/s13195-016-0188-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Pugazhenthi, S., Qin, L., and Reddy, P. H. (2017). Common neurodegenerative pathways in obesity, diabetes, and Alzheimer's disease. Biochimica biophysica acta. Mol. basis Dis. 1863, 1037–1045. doi:10.1016/j.bbadis.2016.04.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Rao, A. A., Sridhar, G. R., and Das, U. N. (2007). Elevated butyrylcholinesterase and acetylcholinesterase may predict the development of type 2 diabetes mellitus and Alzheimer's disease. Med. Hypotheses 69, 1272–1276. doi:10.1016/j.mehy.2007.03.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Rena, G., Hardie, D. G., and Pearson, E. R. (2017). The mechanisms of action of metformin. Diabetologia 60, 1577–1585. doi:10.1007/s00125-017-4342-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Rhodius-Meester, H. F. M., Tijms, B. M., Lemstra, A. W., Prins, N. D., Pijnenburg, Y. A. L., Bouwman, F., et al. (2019). Survival in memory clinic cohort is short, even in young-onset dementia. J. neurology, Neurosurg. psychiatry 90, 726–728. doi:10.1136/jnnp-2018-318820

PubMed Abstract | CrossRef Full Text | Google Scholar

Roriz-Filho J, S., Sá-Roriz, T. M., Rosset, I., Camozzato, A. L., Santos, A. C., Chaves, M. L., et al. (2009). (Pre)diabetes, brain aging, and cognition. Biochimica biophysica acta 1792, 432–443. doi:10.1016/j.bbadis.2008.12.003

CrossRef Full Text | Google Scholar

Ruegsegger, G. N., Vanderboom, P. M., Dasari, S., Klaus, K. A., Kabiraj, P., McCarthy, C. B., et al. (2019). Exercise and metformin counteract altered mitochondrial function in the insulin-resistant brain. JCI insight 4, e130681. doi:10.1172/jci.insight.130681

PubMed Abstract | CrossRef Full Text | Google Scholar

Samaras, K., Makkar, S., Crawford, J. D., Kochan, N. A., Wen, W., Draper, B., et al. (2020). Metformin use is associated with slowed cognitive decline and reduced incident dementia in older adults with type 2 diabetes: the Sydney memory and ageing study. Diabetes Care 43, 2691–2701. doi:10.2337/dc20-0892

PubMed Abstract | CrossRef Full Text | Google Scholar

Scheltens, P., Blennow, K., Breteler, M. M., de Strooper, B., Frisoni, G. B., Salloway, S., et al. (2016). Alzheimer's disease. Lancet 388, 505–517. doi:10.1016/S0140-6736(15)01124-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Scheltens, P., De Strooper, B., Kivipelto, M., Holstege, H., Chételat, G., Teunissen, C. E., et al. (2021). Alzheimer's disease. Lancet 397, 1577–1590. doi:10.1016/S0140-6736(20)32205-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, X. N., Niu, L. D., Wang, Y. J., Cao, X. P., Liu, Q., Tan, L., et al. (2019). Inflammatory markers in Alzheimer's disease and mild cognitive impairment: a meta-analysis and systematic review of 170 studies. J. neurology, Neurosurg. psychiatry 90, 590–598. doi:10.1136/jnnp-2018-319148

PubMed Abstract | CrossRef Full Text | Google Scholar

Sindhu, S., Akhter, N., Kochumon, S., Thomas, R., Wilson, A., Shenouda, S., et al. (2018). Increased expression of the innate immune receptor TLR10 in obesity and type-2 diabetes: association with ROS-mediated oxidative stress. Cell. Physiol. biochem. 45, 572–590. doi:10.1159/000487034

PubMed Abstract | CrossRef Full Text | Google Scholar

Slouha, E., Ibrahim, F., Rezazadah, A., Esposito, S., Clunes, L. A., and Kollias, T. F. (2023). Anti-diabetics and the prevention of dementia: a systematic review. Cureus 15, e49515. doi:10.7759/cureus.49515

PubMed Abstract | CrossRef Full Text | Google Scholar

Starr, J. M., Farrall, A. J., Armitage, P., McGurn, B., and Wardlaw, J. (2009). Blood-brain barrier permeability in Alzheimer's disease: a case-control MRI study. Psychiatry Res. 171, 232–241. doi:10.1016/j.pscychresns.2008.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Sultana, R., Boyd-Kimball, D., Poon, H. F., Cai, J., Pierce, W. M., Klein, J. B., et al. (2006). Oxidative modification and down-regulation of Pin1 in Alzheimer's disease hippocampus: a redox proteomics analysis. Neurobiol. Aging 27, 918–925. doi:10.1016/j.neurobiolaging.2005.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, M., Chen, W. M., Wu, S. Y., and Zhang, J. (2024). Metformin in elderly type 2 diabetes mellitus: dose-dependent dementia risk reduction. Brain 147, 1474–1482. doi:10.1093/brain/awad366

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, H., Guo, J., Shaaban, C. E., Feng, Z., Wu, Y., Magoc, T., et al. (2024). Heterogeneous treatment effects of metformin on risk of dementia in patients with type 2 diabetes: a longitudinal observational study. Alzheimers Dement. 20, 975–985. doi:10.1002/alz.13480

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, Z., Dong, H., Li, T., Wang, N., Wei, X., Wu, H., et al. (2021). The synergistic reducing drug resistance effect of cisplatin and ursolic acid on osteosarcoma through a multistep mechanism involving ferritinophagy. Oxid. Med. Cell Longev. 2021, 5192271. doi:10.1155/2021/5192271

PubMed Abstract | CrossRef Full Text | Google Scholar

Tosto, G., Bird, T. D., Bennett, D. A., Boeve, B. F., Brickman, A. M., Cruchaga, C., et al. (2016). The role of cardiovascular risk factors and stroke in familial alzheimer disease. JAMA neurol. 73, 1231–1237. doi:10.1001/jamaneurol.2016.2539

PubMed Abstract | CrossRef Full Text | Google Scholar

van der Lee, S. J., Wolters, F. J., Ikram, M. K., Hofman, A., Ikram, M. A., Amin, N., et al. (2018). The effect of APOE and other common genetic variants on the onset of Alzheimer's disease and dementia: a community-based cohort study. Lancet Neurol. 17, 434–444. doi:10.1016/S1474-4422(18)30053-X

PubMed Abstract | CrossRef Full Text | Google Scholar

van der Steen, J. T., Smaling, H. J., van der Wouden, J. C., Bruinsma, M. S., Scholten, R. J., and Vink, A. C. (2018). Music-based therapeutic interventions for people with dementia. Cochrane Database Syst. Rev. 7, Cd003477. doi:10.1002/14651858.CD003477.pub4

PubMed Abstract | CrossRef Full Text | Google Scholar

van Dyck, C. H. (2018). Anti-Amyloid-β monoclonal antibodies for alzheimer's disease: pitfalls and promise. Biol. Psychiatry 83, 311–319. doi:10.1016/j.biopsych.2017.08.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Vlassara, H., and Uribarri, J. (2014). Advanced glycation end products (AGE) and diabetes: cause, effect, or both? Curr. Diab. Rep. 14, 453. doi:10.1007/s11892-013-0453-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Weinstein, G., Davis-Plourde, K. L., Conner, S., Himali, J. J., Beiser, A. S., Lee, A., et al. (2019). Association of metformin, sulfonylurea and insulin use with brain structure and function and risk of dementia and Alzheimer's disease: pooled analysis from 5 cohorts. PloS one 14, e0212293. doi:10.1371/journal.pone.0212293

PubMed Abstract | CrossRef Full Text | Google Scholar

Xin, Z., Wu, X., Ji, T., Xu, B., Han, Y., Sun, M., et al. (2019). Bakuchiol: a newly discovered warrior against organ damage. Pharmacol. Res. 141, 208–213. doi:10.1016/j.phrs.2019.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Xing, Y., Lin, Q., Tong, Y., Zhou, W., Huang, J., Wang, Y., et al. (2020). Abnormal neutrophil transcriptional signature may predict newly diagnosed latent autoimmune diabetes in adults of south China. Front. Endocrinol. (Lausanne) 11, 581902. doi:10.3389/fendo.2020.581902

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, W., Caracciolo, B., Wang, H. X., Winblad, B., Bäckman, L., Qiu, C., et al. (2010). Accelerated progression from mild cognitive impairment to dementia in people with diabetes. Diabetes 59, 2928–2935. doi:10.2337/db10-0539

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, L., Jiang, Y., Shi, L., Zhong, D., Li, Y., Li, J., et al. (2020). AMPK: potential therapeutic target for alzheimer's disease. Curr. Protein Pept. Sci. 21, 66–77. doi:10.2174/1389203720666190819142746

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., Fan, C., Wang, B., Ma, Z., Wang, D., Gong, B., et al. (2017). Pterostilbene attenuates high glucose-induced oxidative injury in hippocampal neuronal cells by activating nuclear factor erythroid 2-related factor 2. Biochim. Biophys. Acta Mol. Basis Dis. 1863, 827–837. doi:10.1016/j.bbadis.2017.01.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., Zhang, S., Fan, C., Yi, W., Jiang, S., Di, S., et al. (2016). Protective role of silent information regulator 1 against hepatic ischemia: effects on oxidative stress injury, inflammatory response, and MAPKs. Expert Opin. Ther. Targets 20, 519–531. doi:10.1517/14728222.2016.1153067

PubMed Abstract | CrossRef Full Text | Google Scholar

Zabel, M., Nackenoff, A., Kirsch, W. M., Harrison, F. E., Perry, G., and Schrag, M. (2018). Markers of oxidative damage to lipids, nucleic acids and proteins and antioxidant enzymes activities in Alzheimer's disease brain: a meta-analysis in human pathological specimens. Free Radic. Biol. Med. 115, 351–360. doi:10.1016/j.freeradbiomed.2017.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, F., Liu, L., Zhang, C., Ji, S., Mei, Z., and Li, T. (2021). Association of metabolic syndrome and its components with risk of stroke recurrence and mortality: a meta-analysis. Neurology 97, e695–e705. doi:10.1212/WNL.0000000000012415

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, M., Wang, S., Cheng, Z., Xiong, Z., Lv, J., Yang, Z., et al. (2017). Polydatin ameliorates diabetic cardiomyopathy via Sirt3 activation. Biochem. Biophys. Res. Commun. 493, 1280–1287. doi:10.1016/j.bbrc.2017.09.151

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Yu, S., Li, X., Wen, X., Liu, S., Zu, R., et al. (2023). Research progress on the interaction between oxidative stress and platelets: another avenue for cancer? Pharmacol. Res. 191, 106777. doi:10.1016/j.phrs.2023.106777

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, B., Wang, X., Zheng, J., Wang, H., and Liu, J. (2016). Effects of metformin treatment on glioma-induced brain edema. Am. J. Transl. Res. 8, 3351–3363.

PubMed Abstract | Google Scholar

Zhou, J., Zhang, Z., Zhou, H., and Qian, G. (2020). Diabetic cognitive dysfunction: from bench to clinic. Curr. Med. Chem. 27, 3151–3167. doi:10.2174/1871530319666190206225635

PubMed Abstract | CrossRef Full Text | Google Scholar

Zimmerman, S. C., Ferguson, E. L., Choudhary, V., Ranatunga, D. K., Oni-Orisan, A., Hayes-Larson, E., et al. (2023). Metformin cessation and dementia incidence. JAMA Netw. Open 6, e2339723. doi:10.1001/jamanetworkopen.2023.39723

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: metformin, dementia, insulin resistance, oxidative stress, neuroinflammation

Citation: Cui W, Lv C, Geng P, Fu M, Zhou W, Xiong M and Li T (2024) Novel targets and therapies of metformin in dementia: old drug, new insights. Front. Pharmacol. 15:1415740. doi: 10.3389/fphar.2024.1415740

Received: 11 April 2024; Accepted: 16 May 2024;
Published: 31 May 2024.

Edited by:

Rui Liu, Chinese Academy of Medical Sciences and Peking Union Medical College, China

Reviewed by:

Hao Zhang, Chongqing Medical University, China
Gautam Sethi, National University of Singapore, Singapore
Nanqu Huang, Third Affiliated Hospital of Zunyi Medical University, China

Copyright © 2024 Cui, Lv, Geng, Fu, Zhou, Xiong and Li. 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: Tian Li, Zm1tdWx0QGZveG1haWwuY29t

Disclaimer: 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.