Skip to main content

MINI REVIEW article

Front. Med., 22 September 2023
Sec. Nephrology
This article is part of the Research Topic Pathogenic Mechanisms, Injury Biomarkers, Prophylaxis and Treatment Strategy of Drug-Induced Nephrotoxicity View all 5 articles

Urinary exosomes: a promising biomarker of drug-induced nephrotoxicity

Zunzhen ZhouZunzhen Zhou1Dailiang ZhangDailiang Zhang1Yongjing WangYongjing Wang1Chongzhi LiuChongzhi Liu1Limei Wang,Limei Wang1,2Yi YuanYi Yuan3Xiaodan Xu
Xiaodan Xu1*Yuan Jiang
Yuan Jiang1*
  • 1Clinical Medical College, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
  • 2Department of Rehabilitation Medicine, The Third Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
  • 3Orthopedic Department, Dazhou Integrated TCM and Western Medicine Hospital, Dazhou Second People’s Hospital, Dazhou, China

Drug-induced nephrotoxicity (DIN) is a big concern for clinical medication, but the clinical use of certain nephrotoxic drugs is still inevitable. Current testing methods make it hard to detect early renal injury accurately. In addition to understanding the pathogenesis and risk factors of drug-induced nephrotoxicity, it is crucial to identify specific renal injury biomarkers for early detection of DIN. Urine is an ideal sample source for biomarkers related to kidney disease, and urinary exosomes have great potential as biomarkers for predicting DIN, which has attracted the attention of many scholars. In the present paper, we will first introduce the mechanism of DIN and the biogenesis of urinary exosomes. Finally, we will discuss the changes in urinary exosomes in DIN and compare them with other predictive indicators to enrich and boost the development of biomarkers of DIN.

Introduction

The kidney is an essential organ for drug metabolism and excretion. Due to its unique structure and function, the kidney is particularly susceptible to drug damage and is the target organ of drug toxicity (1). Drug-induced nephrotoxicity (DIN) refers to renal injury caused directly or indirectly by drugs and is one of the most common side effects in clinical drug therapy. DIN is the main causative factor of acute kidney injury (AKI), chronic kidney disease (CKD), acute renal failure (ARF), and end-stage renal disease (ESRD) (2, 3). About 14–26% of adults and 16% of children may experience DIN during clinical medication, especially in the elderly, who may have multiple chronic diseases requiring multiple drug treatments (4). Drug-related renal dysfunction is usually reversible, and patients’ renal function will improve after drug withdrawal. However, DIN may cause damage to different nephron segments (e.g., glomeruli and tubules) and irreversible structural damage to renal tissue without early detection and timely treatment. Some scholars proposed to classify DIN into acute phase (1–7 days), subacute phase (8–90 days), and chronic phase (duration>90 days, the development of chronic kidney disease) based on the time course and period of renal dysfunction (5). In addition to drug-related elements, other risk factors, including patients, age, gender, diet, and renal function, can affect the incidence of DIN. Clinicians should consider the following conditions when diagnosing DIN (6): (a) The time of exposure to drugs must be at least 24 h and must be before the renal injury; (b) Suspicious drugs that cause kidney damage may have biological evidence; (c) Assess suspicious drugs and associated risks and consider whether to come into contact with other nephrotoxic drugs; (d) The strength of the association between suspected drugs and injury should be based on drug exposure and treatment time. Clinicians often evaluate drug toxicity depending on the biomarkers of renal injury, such as blood urea nitrogen (BUN), serum creatinine, estimated glomerular filtration rate (eGFR), and urinary albumin. But these traditional renal function testing methods are difficult to detect early renal injury and lack sensitivity and reliability in predicting drug nephrotoxicity (7). The selection of biomarkers is critical in the evaluation of DIN. The ideal biomarkers need not only reflect the degree of renal injury but also evaluate renal function and specific drug toxicity. Urine is an excellent sample source for biomarkers related to kidney disease. In recent years, some nephrotoxic biomarkers from urine have been applied in preclinical and clinical safety assessments of drugs, showing good prospects. In particular, urinary exosomes have attracted the attention of us.

Urine samples are easy to collect but are susceptible to external environmental factors that can affect the urinalysis results. For example, free urinary RNA is easily degraded by urinary RNase, while urinary protein is easily contaminated. Urinary exosomes are a kind of extracellular vesicles (VEs) with 40–200 nm size secreted by various cells in the urinary system and released into the urine (8). In general, the circulating exosomes are hard to enter urine through the glomerulus under physiological conditions, so the source of urinary exosomes is limited to the kidney. Urinary exosomes can be easily obtained and stably stored from urine. In particular, their contents include bioactive molecules such as proteins and nucleic acids derived from donor cells that can reflect the state of the kidney under physiological and pathological conditions on time (911). The complete membrane structures surrounding the urinary exosomes keep their contents from the urinary environment. They can protect their RNAs from the degradation of RNA enzymes and avoid the contamination of exosomal protein by other protein molecules in the urine. Therefore, urinary exosomes may carry biomarkers of renal dysfunction and structural injury and have unique advantages in the early diagnosis of renal diseases (12, 13).

Previous studies have observed changes in urinary exosomes during drug-induced nephrotoxicity, indicating that drug toxicity will affect the biogenesis of urinary exosomes. The pathogenesis of DIN may determine the correlation between changes in urinary exosomal contents and DIN. In the present paper, we will first introduce the mechanism of DIN and the biogenesis of urinary exosomes. Then we will discuss the changes in urinary exosomes in DIN and compare them with other predictive indicators to enrich and boost the development of biomarkers of DIN.

Mechanism of DIN

In 2015, Mehta et al. proposed four phenotypes of renal diseases caused by DIN in the expert consensus of phenotypic standardization of drug-induced nephropathy: AKI, glomerular disorder, nephrolithiasis/crystalluria, and renal tubular disorder (5). The clinical manifestations of these subtypes are related to the mechanisms of DIN leading to different renal injury patterns. During drug clearance, renal tubular cells and the surrounding matrix are exposed to drugs through free surface contact and cellular uptake or cell transport through the basal lateral circulation. Thus, the mechanisms of DIN are complicated and involve various aspects, including drug-related toxic effects, alteration in glomerular hemodynamics, Inflammatory immune response, crystallization-induced tubular obstruction, rhabdomyolysis, and thrombotic microangiopathy (TMA) (3).

Drug-related toxic effects: the excretion of drugs is mainly through urine. The kidney can concentrate urine leading to high concentrations of drugs or their metabolite solutions in renal tubules that may damage the cell membrane of renal tubules and cause renal tubular transport dysfunction (14). Some common medications include aminoglycosides (AGs), platinums, amphotericin B, and colistin (15). Taking AGs as an example, AGs include gentamicin, tobramycin, amikacin, netilmicin, neomycin, and streptomycin, which are widely used clinically to treat bacterial infections. But AG-induced nephrotoxicity can induce cytotoxicity to renal tubular cells and a decrease in glomerular filtration and renal blood flow, and its incidence can reach 10–25% (1618). AGs are polycationic drugs and can bind to megalin/cubulin receptors. Then AGs enter cells through endocytosis from the apical and basal lateral surfaces and accumulate in lysosomes, Golgi bodies, endoplasmic reticulum (ER), and even mitochondria (3, 14). Therefore, AGs can damage lysosomes to activate proteases or directly stimulate mitochondria to produce ROS to damage cells, leading to apoptosis or necrosis in epithelial cells of renal tubules (19). AGs can also increase intracellular calcium levels to active proteases leading to apoptosis and inducing contraction of mesangial smooth muscle to reduce renal blood flow and glomerular filtration rate (GFR) (20). In addition, the accumulation of AGs in cells also leads to phospholipidosis. Phospholipidosis is a disorder of phospholipid metabolism that causes lipotoxicity to exacerbate renal toxicity (2123).

Alteration in glomerular hemodynamics: Glomerular filtration is closely related to the arterial blood volume and vascular resistance of afferent and efferent arterioles in the glomerulus. The relaxation of the afferent arterioles and the contraction of the efferent arterioles also are contributed to the maintenance and regulation of glomerular pressure. Some studies have found that prostaglandins and angiotensin II regulate the relaxation or contraction of the afferent arterioles and efferent arterioles, respectively (24). Some drugs may significantly influence the prostaglandins and angiotensin II levels, such as anti-prostaglandin activities drugs (e.g., NSAIDs) or the drugs affecting the renin-angiotensin-aldosterone system (e.g., angiotensin-converting enzyme inhibitors-ACEI and angiotensin receptor blockers-ARBs). The effects of ACEI and ARB on renal hemodynamics cause a reversible decrease in GFR without any renal parenchymal damage, but excessive or long-term use can lead to severe contraction of renal blood vessels and a decline in renal blood volume, which induce changes in renal hemodynamics and glomerular filtration rate ultimately causing AKI. The inhibition effect of NSAIDs on cyclooxygenase (COX) and prostaglandin synthesis will lead to vasodilation dysfunction, water-sodium retention, and intraglomerular hypertension (25). Some scholars suggested that concurrent long-term use of ACEI/ARB and NSAIDs may cause the complex interplay among their effects and bring a double whammy for glomerular, resulting in an alteration in glomerular hemodynamics, seriously decreased glomerular filtration and higher risks of nephrotoxicity (26, 27).

Inflammatory immune response: some drugs can cause inflammation and immune reactions in the glomerulus, tubular cells, and stroma, such as NSAIDs, proton pump inhibitors, β- Lactam drugs, and antiviral drugs. Patients may even experience typical symptoms of hypersensitivity after medication, such as fever, rash, and eosinophilia (28). Drugs or their metabolites can make a variety of antibodies to react with the antigen components of the glomerular basement membrane to form immune complexes (29). Drugs or their metabolites can produce different kinds of antibodies to react with the antigen components of the glomerular basement membrane to form immune complexes. The immune complexes accumulate in the glomerulus to activate various circulating immune cells, leading to glomerular injury, or enter the interstitial microcirculation to bind the basement membrane of the renal tubules to induce interstitial inflammation. In addition, immune complexes can activate complement pathways to regulate the downstream inflammatory cascades, promoting leukocyte infiltration and worsening kidney damage.

Crystallization-induced tubular obstruction: the poorly soluble drugs and their metabolites can form crystals in the tubular fluid that induce crystal nephropathy. Some common medications include sulphonamides, methotrexate, indinavir, acyclovir, atazanavir, sulfadiazine, ciprofloxacin, aluminum hydroxide, and amoxicillin (3032). In addition to the acid dissociation constant (pKa) and dosage of the poorly soluble drugs, urinary flow rate and urine pH are important influencing factors of crystals. The decrease in urinary flow rate contributes to the deposition and retention of drugs and their metabolite crystals in the renal tubules (33). Urine pH below 5.5 will increase intratubular crystal deposition of sulfadiazine, methotrexate, and triamterene, while urine pH above 6.0 will increase intratubular crystal deposition of indinavir, atazanavir, and ciprofloxacin (3436). The crystals will block renal tubular blood flow in the distal renal tubular lumen, leading to tubular injury and a decline in GFR. They can also bind to the basement membrane of renal tubules to trigger peripheral interstitial inflammatory reactions, leading to acute interstitial nephritis (AIN). Tubular injury and AIN both contribute to the development of AKI (3).

Rhabdomyolysis: Rhabdomyolysis is caused by the decomposition and necrosis of muscle tissue and the release of intracellular content into the bloodstream. Its clinical syndromes include severe muscle pain, weakness, and myoglobinuria (37, 38). AKI is one of the most dangerous complications of rhabdomyolysis (39). Skeletal muscle injury can lead to the release of a large amount of myoglobin, but myoglobin as a toxin can cause kidney dysfunction. Skeletal muscle injury can lead to the release of a large amount of myoglobin, but myoglobin as a toxin can cause kidney dysfunction. Myoglobin activates the complement bypass pathway and lectin pathway and causes an oxidative stress reaction in the process of glomerular filtration, causing damage to renal tubular cells and their organelles (39, 40). In addition, myoglobin can also lead to nephrotoxicity by causing renal vasoconstriction and tubular formation (39). In addition, myoglobin can cause renal vasoconstriction to affect glomerular hemodynamics (41). For example, statins are currently the most clearly defined drugs that cause rhabdomyolysis, and their most serious adverse reaction is muscle toxicity. The average incidence rate of atorvastatin, pravastatin, or simvastatin monotherapy was 0.44 per 10,000 person-years. Benzodiazepines, antidepressants, antihistamines, anesthetic drugs, and ethanol may make patients susceptible to rhabdomyolysis (4244). In addition, excessive abuse of illegal drugs such as cocaine can also lead to rhabdomyolysis and microvascular thrombosis (45, 46).

Thrombotic microangiopathy (TMA): TMA is the thrombosis and ischemic injury of capillaries and arterioles in renal parenchyma caused by the severe damage of vascular endothelial cells (47). TMA is characterized by thrombotic thrombocytopenic purpura (TTP) and hemolytic uremic syndrome (HUS) (48, 49). Some drugs can induce immune-mediated impairment to affect the aggregation and consumption of platelets or direct toxicity to vascular endothelial cells, leading to thrombocytopenia, microvascular thrombosis, and mechanical hemolysis, for example, antiplatelet agents (e.g., clopidogrel and ticlopidine), anti-infective agents (e.g., vancomycin, sulfamethoxazole, and metronidazole), antineoplastic agents (e.g., mitomycin C and gemcitabine), and quinine (5053).

Biogenesis of urinary exosomes

Urine contains exosomes and other EVs (e.g., microvesicles and apoptotic bodies) that originate from several parts of the urogenital tract, such as kidneys, bladder, prostate (in males), and even uterovaginal tract (in females). In 1986 Wiggins and colleagues first observed these membrane-bound vesicles by transmission electron microscopy (TEM) (54). Until 2004, Pisitkun and colleagues harvested urinary exosomes by ultracentrifugation. They provided a complete characterization of urinary exosomes and promoted follow-up research on urinary exosomes (55). Puhka and colleagues found that the isolated urinary exosomes by ultracentrifugation were cup-shaped and enriched with typical markers CD9, TSG101, CD59, and CD63 (56). Urinary exosomes from the different parts of the urogenital system possess their characteristic proteins. For instance, glomerular podocyte-derived exosomes are enriched in podocin, podocalyxin, or nephrin. Proximal tubular cells-derived exosomes have megalin, cubilin, aminopeptidase, or aquaporin-1 (AQP1) (57). But urinary exosomes have the same biogenesis pathways that start from the inward budding of the cellular plasma membrane and then mature into late endosomes. Late endosomes bud into intraluminal vesicles (ILVs) and multivesicular bodies (MVBs) and encapsulate nucleic acids, proteins, and other bioactive molecules. After fusion with the cell membrane, MVBs are released into the intercellular space as exosomes, while the other MVBs are degraded after fusion with lysosomes, as shown in Figure 1 (58, 59). The isolated urinary exosomes in urine can be captured by neighboring or distant cells to modulate cell function, indicating that urinary exosomes are involved in the pathophysiological process of kidney diseases (6062). Previous studies have shown that the quantity and contents of urinary exosomes significantly changed in kidney diseases, which may provide valuable information to evaluate the progress. Urinary exosomes can protect their molecular cargoes from the impact and contamination of other substances in the urine, so they are suitable as a biomarker for glomerular and tubular damage (63). During the biogenesis processes, the endoplasmic reticulum-Golgi apparatus route (ER-Golgi pathway) and mitochondrial-lysosomal axis contributed to the sorting of some proteins and the transport of vesicles to the cell membrane for cell membrane fusion and secretion of exosomes (6466). The composition and secretion of exosomes are mainly dependent on the involvement of endosomal sorting complex required for transport (ESCRT)-dependent pathway, ESCRT independent pathway, Rab-GTPase family, SNARE family, lipid raft, syndecan-1, and four-transmembrane domain proteins (67). Hence, the production of exosomes may be affected by some organelles, and the mechanism of sorting exosomal contents is complex. Considering that the mechanism of DIN involves various aspects, the changes in urinary exosomes in the DIN need further discussion.

FIGURE 1
www.frontiersin.org

Figure 1. Schematic representation of exosome biogenesis.

Urinary exosomes and DIN

Based on current knowledge of the biogenesis of urinary exosomes, the structural and functional integrity of some organelles (e.g., lysosomes, endoplasmic reticulum, and mitochondria) and the intracellular and extracellular environment (e.g., Ca2+, ROS, and hypoxia) are closely related to the biogenesis pathways of exosomes. Lysosomes, endoplasmic reticulum, and mitochondria organize into a dynamic network through some crosstalk. Defects in one or two organelles can cause damage to the other, resulting in a change in Intracellular homeostasis (65). The toxic effect of drugs will damage the above organelle and destroy their structural integrity and biological function directly or indirectly. Lysosome dysfunction will affect the degradation of MVBs, increasing exosome production, and also affect the regulation of transient receptor potential mucolipin-1 (TRPML-1) on the release of lysosomal calcium ions into the cytoplasm to be involved in the biogenesis of exosomes by change the intracytoplasmic Ca2+ signal (6870). In addition, lysosomal alkalization under lipotoxic conditions may induce mitochondrial dysfunction (73). Some scholars suggested that the dysfunctional mitochondrial-lysosomal axis causes abnormal exosome trafficking (90). Mitochondrial dysfunction not only affects the function of the respiratory chain, leading to changes in ATP and ROS production but stimulates oxidative stress and inflammatory responses that can affect the yield of exosomes (76, 79, 94, 108). The endoplasmic reticulum is a critical intracellular calcium pool. It maintains the stability of intracellular calcium and regulates many processes by its connection with mitochondria, including lipid transport, mitochondrial morphology, cell death, immune response, and autophagy formation (65). Once calcium homeostasis of the endoplasmic reticulum is disturbed, calcium ions are released into the cytoplasm to affect the production of exosomes and further induce endoplasmic reticulum stress contributing to DIN (87). In addition, some drugs can alter glomerular hemodynamics or crystallization-induced hypoperfusion to generate hypoxia conditions in the kidney. It will affect the production of exosomes and exosomal content (e.g., miRNA, mRNA, and protein) (86).

In recent years, some research results have found a close correlation between changes in urinary exosomal miRNA and protein levels and AKI, which indicates that urinary exosomes may serve as biomarkers for early prediction of DIN, as shown in Table 1. Sonoda and colleagues found that urinary exosomal miR-16-5p, miR-24-3p, and miR-200c-3p increased in AKI rats on the first day after ischemia–reperfusion injury (I/R). Those exosomal miRNAs changed their target mRNA expression in the renal medulla, suggesting that the change in urinary exosomal RNAs could mirror the cellular gene expression in kidneys and the progression of AKI (98). Yu and colleagues found that miR-20a-5p was abundant in hypoxia-induced tubular exosomes (Hy-EXOs) by using exosome miRNA sequencing, and miR-20a-5p may provide a protective effect on tubular injury by inhibition of mitochondrial damage and apoptosis in acute tubular injury (107).

TABLE 1
www.frontiersin.org

Table 1. The changes in urinary exosomal miRNA and protein levels in AKI.

Zhou and colleagues evaluated the protein profile of urinary exosomes in the rats injected with cisplatin by a two-dimensional difference in gel electrophoresis and mass spectrometry. They found that exosomal Fetuin-A had increased significantly before increased serum creatinine and tubule damage. Compared to the patients without AKI, the urinary exosomal Fetuin-A also increased in three ICU patients with AKI (110). In subsequent studies, they also found increased protein expressions of activating transcription factor 3 (ATF3) in urinary exosomes at the early renal injury state in both I/R- and cisplatin-induced AKI rats. And these changes in urinary exosomal ATF3 can be observed two days before the increase in serum creatinine and histological changes. Then they also observed similar trends in patients with AKI that ATF3 was continuously present in urinary exosomes at times earlier than the increase in serum creatinine (109). The above results suggested that urinary exosomal Fetuin-A and ATF3 may be novel biomarker candidates for AKI. Awdishu and colleagues collected the urinary samples of patients with vancomycin-induced acute kidney injury (V-AKI) and healthy controls to determine the protein contents of urinary exosomes by label-free liquid chromatography-mass spectrometry (LC/MS). They found 251 proteins were dysregulated in V-AKI patients, especially C3 complement, C4 complement, galectin-3-binding protein, fibrinogen, alpha-2 macroglobulin, immunoglobulin heavy constant mu, and serotransferrin were significantly associated with V-AKI. Those proteins may be predominantly involved in the inflammatory and coagulation pathways, revealing immune responses to direct toxicity of vancomycin in kidney tubular cells, and potentially serve as biomarkers along the continuum of DIN (74). Of course, the expression of some exosomal proteins will significantly decrease in the early stages of acute kidney injury, indicating these proteins can be the urinary biomarkers. Sonoda and colleagues found that the urinary exosomal aquaporin-1 (AQP1) expression level of I/R rats had decreased after 6 h of renal I/R, and the level continued to be low even over 96 h after I/R (99).

Urinary exosomes and other biomarkers of DIN

Traditional biomarkers BUN and serum creatinine are not very specific or sensitive in assessing renal dysfunction, as they increase only after renal injury (83). Other indicators like urinalysis, electrolytes, and urine sediment are also susceptible to the toxicity of other organs. Recently, scholars have suggested that biomarkers from blood or urine may be better than BUN and serum creatinine for evaluating DIN (85). The US FDA and the European Medicines Agency have approved seven nephrotoxic biomarkers for preclinical and clinical safety assessments of drugs. These biomarkers include clusterin, kidney injury molecule-1 (KIM-1), trefoil factor 3 (TFF-3), urinary albumin, urinary total protein (uTP), β 2-microglobulin (B2M), and cystatin C (CysC) (81, 88). Clusterin, KIM-1, TFF-3, and urinary albumin are used to evaluate drug-induced renal tubular damage. uTP, B2M, and CysC are used to indicate drug-induced glomerular injury or renal tubular reabsorption disorder. In 2019, Griffin and colleagues introduced the research progress in the above seven biomarkers and other biomarkers in detail in their review, such as interleukin-18 (IL-18), neutrophil gelatinase-related lipid carrier protein (NGAL), reticulin-1, fatty acid binding protein (FABP), TIMP2, IGFBP7, and urinary exosomes. They suggested that these biomarkers possess the potential for the prediction and diagnosis of DIN, but the changes in these biomarkers may also associated with other kidney diseases or non-kidney diseases, indicating a lack of specificity of these biomarkers for DIN. The correlation between rises in these biomarkers and the development of clinically significant AKI is unclear, and some data are mainly derived from animal models or human clinical data is insufficient (e.g., TFF3, urinary albumin, Clusterin, and NGAL), so further studies are still needed, especially in human subjects (1). In recent years, scholars have also been exploring other new biomarkers, such as mitochondrial DNA (mtDNA), which is closely associated with the loss of kidney function. The levels of mtDNA in peripheral serum and urine also reflect the state of renal injury (84). So far, the above biomarkers still have not replaced serum BUN and serum creatinine in clinical applications. Encouragingly, there is a growing recognition of the potential role of exosomes in the occurrence, development, and prognosis of various diseases in related research on exosomes. Exosomes as biomarkers have more investigation and application values in malignant tumors, brain diseases, cardiovascular diseases, etc. (104106). The cells of the kidney can also secrete and release exosomes into the urine. The urinary exosomal mRNA and proteins may be upregulated or downregulated after exposure to medication, and the changes happen at the early renal injury state and even earlier than serum creatinine and histological changes, suggesting they will be adequate to detect nephrotoxicity and subsequent renal reactions (100). Urinary exosomes have some advantages among other biomarkers of DIN (e.g., KIM-1, TFF-3, clusterin, etc.) due to their characteristics, such as stable structure, less susceptibility to urinary factors, early changes of content, and non-invasive acquisition.

Methodology of urine exosomes

Soluble biomarkers in urine are easier to obtain, but sample and biological complexity may lead to some limitations in gaining valuable information efficiently. In contrast, urine exosomes around a lipid bilayer protect their content and offer the specific bio information of DIN with the ease and safety of urine collection for noninvasive tests. The Isolation and purification of exosomes from urine samples are essential to avoid potential differences in different quantitative and compositional analysis protocols. Street and colleagues introduced each step of the protocols for detecting urinary exosomal biomarkers, from ultracentrifugation/isolation/purification, quantitation, composition/constituent analysis, normalization, storage and processing, and data analysis in their published review (101). In short (a) the collected urine samples are usually stored under freezing conditions and subjected to pre-treatment before separation to remove the interference from various urinary tract epithelial cells, cell fragments, and urinary proteins. (b) The isolated urine exosomes can be harvested through separation techniques such as ultracentrifugation, filtration, precipitation, affinity purification, and microfluidics. (c) The harvested urine exosomes need further characterization and quantification. Exosomes’ particle size, quantity, and characteristic proteins can be detected by transmission electron microscopy (TEM), dynamic light scattering (DLS), nanoparticle tracking analysis (NTA), western blot, enzyme-linked immunosorbent assay (ELISA), and others, respectively. (d) Constituent analysis of urine exosomes is an essential step for predicting DIN. For exosomal protein constituents analysis, western blots, ELISA, tandem mass spectrometry, and LS-MS/MS are commonly used. For exosomal RNA constituents (e.g., mRNA and miRNA) analysis, qPCR, microarrays, and sequencing analysis are commonly used. Standardization of each step is necessary to achieve good reliability and reproducibility in urine exosome tests. In recent years, with the improvement of our knowledge of urine exosomes and the emergence of new technologies, the updated methodology of urine exosomes still requires extensive validation to reach a consensus in the future. In addition, the corresponding detection methods should also be selected based on actual conditions such as urine sample source, quantity, and economic status in clinical applications. Although many scholars have reported their protocol for the isolation or assay of urinary exosomes (11, 78, 100, 103), the current methods for detecting urine exosomes as biomarkers of DIN still have a distance from achieving standardization.

Summary and outlook

DIN is a severe problem in clinical practice, leading to prolonged hospital stays, increased total treatment costs, and increased mortality (75, 82, 89). Although some drugs have renal toxicity, such as anticancer, antibacterial, antiviral, and non-steroidal anti-inflammatory drugs, their clinical use is still inevitable. In recent years, the nephrotoxicity and safety of Chinese herbs have attracted increasing attention from scholars. The use of Chinese herbs for treating and preventing acute and chronic diseases or promoting health is no longer limited to China and East Asia (80, 92). More and more reports have shown that some Chinese herbs also have apparent toxic effects on the kidneys (e.g., Aristolochia, Thunder god vine, Glycyrrhiza glabra, and so on), indicating that the use of natural Chinese herbs does not equate to their clinical medication safety (72, 96). Chinese herbs often contain multiple bioactive components, resulting in a more complex and diverse toxicity mechanism than chemical drugs. How to quickly discontinue or reduce the drug dosage at an appropriate time will be beneficial for maximizing the recovery of renal function. Therefore, in addition to understanding the medicines that have a risk of renal injury, the pathogenesis, and the risk factors of drug-induced nephrotoxicity, real-time effective detection methods are crucial for preventing and reducing the occurrence of renal damage. More and more scholars realize the critical role of urinary exosomes in the event and development of kidney diseases (91, 97). Existing research suggests that urinary exosomes can reflect nephrotoxicity and will further elucidate the molecular mechanisms of DIN, providing new ideas and methods for molecular diagnosis, prognostic judgment, and even treatment of DIN (77). Mishra and colleagues found that urinary exosomes from animal models and patients with diabetic nephropathy (DN) have reno-protective potential (93). Exosome-based drug delivery systems display significant scientific and potential clinical value in the treatment of AKI and other kidney diseases (71, 95, 102). These findings indicate that role switching in urinary exosomes from biomarkers to therapeutic strategies in DIN deserves attention.

Of course, we also realize some challenges that have to be overcome in urinary exosome research on DIN (57). (a) The pathogenesis of drug-induced nephrotoxicity is complex, and the studies of exosomal biomarkers are mostly a description of phenomena, which are still in their infancy, so it is necessary to explore the specific exosomal biomarkers; (b) The enrichment of effective content (e.g., miRNAs and proteins) determines the feasibility of urinary exosomes as biomarkers, but the selection mechanism of exosomes for their content is still unclear; (c) The correlation between changes in exosomal biomarkers and the development of clinically significant acute renal injury is still a great deal to explore, for example, the link between the count of exosomes and eGFR, creatinine levels are still unclear. The research data on exosomes in determining the stage of acute kidney damage linked to drug toxicity is insufficient; (d) The immune cells, bacteria, and yeast in the urogenital tract also secrete exosomes, and some virus particles may be confused with exosomes, so optimization of separation and purification of urinary exosomes are particularly important; (e) So far, the protein assay is still the prioritized method of exosome quantification. However, the protein concentration of exosomes harvested from the existing isolation and purification technologies may not accurately reflect the exosomes’ quantity. Some well-optimized methods still need to be further developed to meet the demand for pure and specific exosomes in the future. Although urinary exosome research is still in the infancy phase and faces some challenges, urinary exosomal biomarkers are a new area for research in the early detection of DIN and have great attraction and application prospects and need further investigation.

Author contributions

ZZ and YJ had the idea for the review. ZZ and CL wrote the first draft of the manuscript. LW and YY wrote the sections of the manuscript. YJ and XX proofread the manuscript. All the authors contributed to manuscript revision and approved the submitted version.

Funding

This work was supported by the grants from Research project of the Science and Technology Department of Sichuan province (2021YJ0217), Research Project of Sichuan Applied Psychology Research Center of Chengdu Medical College (CSXL-202A13), Dazhou Science and Technology Plan Project - Key R&D Plan (22ZDYF0050).

Acknowledgments

The authors express their sincere thanks to Houhe Liu, Zhongqiu Zhou, Yaxiong Fang, Yuan Yi, and Hong Zhang for their helpful assistance.

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. Griffin, BR, Faubel, S, and Edelstein, CL. Biomarkers of drug-induced kidney toxicity. Ther Drug Monit. (2019) 41:213–26. doi: 10.1097/FTD.0000000000000589

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Sales, GTM, and Foresto, RD. Drug-induced nephrotoxicity. Rev Assoc Med Bras. (2020) 66, Suppl 1:s82–90. doi: 10.1590/1806-9282.66.S1.82

CrossRef Full Text | Google Scholar

3. Wu, H, and Huang, J. Drug-induced nephrotoxicity: pathogenic mechanisms, biomarkers and prevention strategies. Curr Drug Metab. (2018) 19:559–67. doi: 10.2174/1389200218666171108154419

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Dobrek, L. A synopsis of current theories on drug-induced nephrotoxicity. Life. (2023) 13:325. doi: 10.3390/life13020325

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Mehta, RL, Awdishu, L, Davenport, A, Murray, PT, Macedo, E, Cerda, J, et al. Phenotype standardization for drug-induced kidney disease. Kidney Int. (2015) 88:226–34. doi: 10.1038/ki.2015.115

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Awdishu, L. Drug-induced kidney disease in the ICU: mechanisms, susceptibility, diagnosis and management strategies. Curr Opin Crit Care. (2017) 23:484–90. doi: 10.1097/MCC.0000000000000453

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Cruz, DN, de Geus, HR, and Bagshaw, SM. Biomarker strategies to predict need for renal replacement therapy in acute kidney injury. Semin Dial. (2011) 24:124–31. doi: 10.1111/j.1525-139X.2011.00830.x

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Gonzales, PA, Pisitkun, T, Hoffert, JD, Tchapyjnikov, D, Star, RA, Kleta, R, et al. Large-scale proteomics and phosphoproteomics of urinary exosomes. J Am Soc Nephrol. (2009) 20:363–79. doi: 10.1681/ASN.2008040406

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Dimov, I, Jankovic Velickovic, L, and Stefanovic, V. Urinary exosomes. ScientificWorldJournal. (2009) 9:1107–18. doi: 10.1100/tsw.2009.128

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Dear, JW, Street, JM, and Bailey, MA. Urinary exosomes: a reservoir for biomarker discovery and potential mediators of intrarenal signalling. Proteomics. (2013) 13:1572–80. doi: 10.1002/pmic.201200285

CrossRef Full Text | Google Scholar

11. Vitorino, R, Ferreira, R, Guedes, S, Amado, F, and Thongboonkerd, V. What can urinary exosomes tell us? Cell Mol Life Sci. (2021) 78:3265–83. doi: 10.1007/s00018-020-03739-w

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Alvarez, ML, Khosroheidari, M, Kanchi Ravi, R, and DiStefano, JK. Comparison of protein, microRNA, and mRNA yields using different methods of urinary exosome isolation for the discovery of kidney disease biomarkers. Kidney Int. (2012) 82:1024–32. doi: 10.1038/ki.2012.256

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Wang, Y, and Zhang, M. Urinary exosomes: a promising biomarker for disease diagnosis. Lab Med. (2023) 54:115–25. doi: 10.1093/labmed/lmac087

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Kwiatkowska, E, Domański, L, Dziedziejko, V, Kajdy, A, Stefańska, K, and Kwiatkowski, S. The mechanism of drug nephrotoxicity and the methods for preventing kidney damage. Int J Mol Sci. (2021) 22:6109. doi: 10.3390/ijms22116109

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Perazella, MA. Pharmacology behind common drug Nephrotoxicities. Clin J Am Soc Nephrol. (2018) 13:1897–908. doi: 10.2215/CJN.00150118

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Mahi-Birjand, M, Yaghoubi, S, Abdollahpour-Alitappeh, M, Keshtkaran, Z, Bagheri, N, Pirouzi, A, et al. Protective effects of pharmacological agents against aminoglycoside-induced nephrotoxicity: a systematic review. Expert Opin Drug Saf. (2020) 19:167–86. doi: 10.1080/14740338.2020.1712357

PubMed Abstract | CrossRef Full Text | Google Scholar

17. McWilliam, SJ, Antoine, DJ, Smyth, RL, and Pirmohamed, M. Aminoglycoside-induced nephrotoxicity in children. Pediatr Nephrol. (2017) 32:2015–25. doi: 10.1007/s00467-016-3533-z

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Wargo, KA, and Edwards, JD. Aminoglycoside-induced nephrotoxicity. J Pharm Pract. (2014) 27:573–7. doi: 10.1177/0897190014546836

CrossRef Full Text | Google Scholar

19. Karasawa, T, and Steyger, PS. Intracellular mechanisms of aminoglycoside-induced cytotoxicity. Integr Biol. (2011) 3:879–86. doi: 10.1039/c1ib00034a

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Martínez-Salgado, C, López-Hernández, FJ, and López-Novoa, JM. Glomerular nephrotoxicity of aminoglycosides. Toxicol Appl Pharmacol. (2007) 223:86–98. doi: 10.1016/j.taap.2007.05.004

CrossRef Full Text | Google Scholar

21. Ioannidis, K, Cohen, A, Ghosheh, M, Ehrlich, A, Fischer, A, Cohen, M, et al. Aminoglycoside-induced lipotoxicity and its reversal in kidney on chip. Lab Chip. (2022) 22:4469–80. doi: 10.1039/d2lc00825d

CrossRef Full Text | Google Scholar

22. Laurent, G, Kishore, BK, and Tulkens, PM. Aminoglycoside-induced renal phospholipidosis and nephrotoxicity. Biochem Pharmacol. (1990) 40:2383–92. doi: 10.1016/0006-2952(90)90078-y

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Kaloyanides, GJ. Drug-phospholipid interactions: role in aminoglycoside nephrotoxicity. Ren Fail. (1992) 14:351–7. doi: 10.3109/08860229209106642

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Ito, S, and Abe, K. Contractile properties of afferent and efferent arterioles. Clin Exp Pharmacol Physiol. (1997) 24:532–5. doi: 10.1111/j.1440-1681.1997.tb01241.x

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Agrawal, A, and Fentiman, IS. NSAIDs and breast cancer: a possible prevention and treatment strategy. Int J Clin Pract. (2008) 62:444–9. doi: 10.1111/j.1742-1241.2007.01668.x

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Harężlak, T, Religioni, U, Szymański, FM, Hering, D, Barańska, A, Neumann-Podczaska, A, et al. Drug interactions affecting kidney function: beware of health threats from triple whammy. Adv Ther. (2022) 39:140–7. doi: 10.1007/s12325-021-01939-9

CrossRef Full Text | Google Scholar

27. Wallace, JL. Prostaglandins, NSAIDs, and gastric mucosal protection: why doesn’t the stomach digest itself? Physiol Rev. (2008) 88:1547–65. doi: 10.1152/physrev.00004.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Perazella, MA, and Rosner, MH. Drug-induced acute kidney injury. Clin J Am Soc Nephrol. (2022) 17:1220–33. doi: 10.2215/CJN.11290821

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Perazella, MA. Drug-induced acute kidney injury: diverse mechanisms of tubular injury. Curr Opin Crit Care. (2019) 25:550–7. doi: 10.1097/MCC.0000000000000653

CrossRef Full Text | Google Scholar

30. Daudon, M, Frochot, V, Bazin, D, and Jungers, P. Drug-induced kidney stones and crystalline nephropathy: pathophysiology, prevention and treatment. Drugs. (2018) 78:163–201. doi: 10.1007/s40265-017-0853-7

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Guo, X, and Nzerue, C. How to prevent, recognize, and treat drug-induced nephrotoxicity. Cleve Clin J Med. (2002) 69:289. doi: 10.3949/ccjm.69.4.289

CrossRef Full Text | Google Scholar

32. Yarlagadda, SG, and Perazella, MA. Drug-induced crystal nephropathy: an update. Expert Opin Drug Saf. (2008) 7:147–58. doi: 10.1517/14740338.7.2.147

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Fogazzi, GB. Crystalluria: a neglected aspect of urinary sediment analysis. Nephrol Dial Transplant. (1996) 11:379–87. doi: 10.1093/oxfordjournals.ndt.a027276

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Gagnon, RF, Alli, AI, Edwardes, MD, Watters, AK, and Tsoukas, CM. Low urine pH is associated with reduced indinavir crystalluria in indinavir-treated HIV-infected individuals. Clin Nephrol. (2006) 65:13–21. doi: 10.5414/cnp65013

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Grases, F, Costa-Bauzá, A, Gomila, I, Ramis, M, García-Raja, A, and Prieto, RM. Urinary pH and renal lithiasis. Urol Res. (2012) 40:41–6. doi: 10.1007/s00240-011-0389-3

CrossRef Full Text | Google Scholar

36. Sand, TE, and Jacobsen, S. Effect of urine pH and flow on renal clearance of methotrexate. Eur J Clin Pharmacol. (1981) 19:453–6. doi: 10.1007/BF00548590

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Cabral, BMI, Edding, SN, Portocarrero, JP, and Lerma, EV. Rhabdomyolysis. Dis Mon. (2020) 66:101015. doi: 10.1016/j.disamonth.2020.101015

CrossRef Full Text | Google Scholar

38. Hohenegger, M. Drug induced rhabdomyolysis. Curr Opin Pharmacol. (2012) 12:335–9. doi: 10.1016/j.coph.2012.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Petejova, N, and Martinek, A. Acute kidney injury due to rhabdomyolysis and renal replacement therapy: a critical review. Crit Care. (2014) 18:224. doi: 10.1186/cc13897

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Boudhabhay, I, Poillerat, V, Grunenwald, A, Torset, C, Leon, J, Daugan, MV, et al. Complement activation is a crucial driver of acute kidney injury in rhabdomyolysis. Kidney Int. (2021) 99:581–97. doi: 10.1016/j.kint.2020.09.033

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Coco, TJ, and Klasner, AE. Drug-induced rhabdomyolysis. Curr Opin Pediatr. (2004) 16:206–10. doi: 10.1097/00008480-200404000-00017

CrossRef Full Text | Google Scholar

42. Graham, DJ, Staffa, JA, Shatin, D, Andrade, SE, Schech, SD, La Grenade, L, et al. Incidence of hospitalized rhabdomyolysis in patients treated with lipid-lowering drugs. JAMA. (2004) 292:2585. doi: 10.1001/jama.292.21.2585

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Schreiber, DH, and Anderson, TR. Statin-induced rhabdomyolysis. J Emerg Med. (2006) 31:177–80. doi: 10.1016/j.jemermed.2005.08.020

CrossRef Full Text | Google Scholar

44. Tomaszewski, M, Stępień, KM, Tomaszewska, J, and Czuczwar, SJ. Statin-induced myopathies. Pharmacol Rep. (2011) 63:859–66. doi: 10.1016/s1734-1140(11)70601-6

CrossRef Full Text | Google Scholar

45. Zimmerman, JL. Cocaine intoxication. Crit Care Clin. (2012) 28:517–26. doi: 10.1016/j.ccc.2012.07.003

CrossRef Full Text | Google Scholar

46. Zimmerman, JL, and Shen, MC. Rhabdomyolysis. Chest. (2013) 144:1058–65. doi: 10.1378/chest.12-2016

CrossRef Full Text | Google Scholar

47. Gallan, AJ, and Chang, A. A new paradigm for renal thrombotic Microangiopathy. Semin Diagn Pathol. (2020) 37:121–6. doi: 10.1053/j.semdp.2020.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Abou-Ismail, MY, Kapoor, S, Citla Sridhar, D, Nayak, L, and Ahuja, S. Thrombotic microangiopathies: an illustrated review. Res Pract Thromb Haemost. (2022) 6:e12708. doi: 10.1002/rth2.12708

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Shatzel, JJ, and Taylor, JA. Syndromes of thrombotic Microangiopathy. Med Clin North Am. (2017) 101:395–415. doi: 10.1016/j.mcna.2016.09.010

CrossRef Full Text | Google Scholar

50. Al-Nouri, ZL, Reese, JA, Terrell, DR, Vesely, SK, and George, JN. Drug-induced thrombotic microangiopathy: a systematic review of published reports. Blood. (2015) 125:616–8. doi: 10.1182/blood-2014-11-611335

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Brocklebank, V, Wood, KM, and Kavanagh, D. Thrombotic Microangiopathy and the kidney. Clin J Am Soc Nephrol. (2018) 13:300–17. doi: 10.2215/CJN.00620117

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Garcia, G, and Atallah, JP. Antineoplastic agents and thrombotic microangiopathy. J Oncol Pharm Pract. (2017) 23:135–42. doi: 10.1177/1078155216628324

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Zakarija, A, and Bennett, C. Drug-induced thrombotic microangiopathy. Semin Thromb Hemost. (2005) 31:681–90. doi: 10.1055/s-2005-925474

CrossRef Full Text | Google Scholar

54. Wiggins, RC, Glatfelter, A, Kshirsagar, B, and Brukman, J. Procoagulant activity in normal human urine associated with subcellular particles. Kidney Int. (1986) 29:591–7. doi: 10.1038/ki.1986.39

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Pisitkun, T, Shen, RF, and Knepper, MA. Identification and proteomic profiling of exosomes in human urine. Proc Natl Acad Sci U S A. (2004) 101:13368–73. doi: 10.1073/pnas.0403453101

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Puhka, M, Takatalo, M, Nordberg, ME, Valkonen, S, Nandania, J, Aatonen, M, et al. Metabolomic profiling of extracellular vesicles and alternative normalization methods reveal enriched metabolites and strategies to study prostate Cancer-related changes. Theranostics. (2017) 7:3824–41. doi: 10.7150/thno.19890

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Erdbrügger, U, Blijdorp, CJ, Bijnsdorp, IV, Borràs, FE, Burger, D, Bussolati, B, et al. Urinary extracellular vesicles: a position paper by the urine task force of the International Society for Extracellular Vesicles. J Extracell Vesicles. (2021) 10:e12093. doi: 10.1002/jev2.12093

CrossRef Full Text | Google Scholar

58. Buratta, S, Tancini, B, Sagini, K, Delo, F, Chiaradia, E, Urbanelli, L, et al. Lysosomal exocytosis, exosome release and secretory autophagy: the Autophagic- and Endo-lysosomal systems go extracellular. Int J Mol Sci. (2020) 21:2576. doi: 10.3390/ijms21072576

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Teng, F, and Fussenegger, M. Shedding light on extracellular vesicle biogenesis and bioengineering. Adv Sci. (2020) 8:2003505. doi: 10.1002/advs.202003505

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Fang, DY, King, HW, Li, JY, and Gleadle, JM. Exosomes and the kidney: blaming the messenger. Nephrology. (2013) 18:1–10. doi: 10.1111/nep.12005

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Gildea, JJ, Seaton, JE, Victor, KG, Reyes, CM, Bigler Wang, D, Pettigrew, AC, et al. Exosomal transfer from human renal proximal tubule cells to distal tubule and collecting duct cells. Clin Biochem. (2014) 47:89–94. doi: 10.1016/j.clinbiochem.2014.06.018

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Karpman, D, Ståhl, AL, and Arvidsson, I. Extracellular vesicles in renal disease. Nat Rev Nephrol. (2017) 13:545–62. doi: 10.1038/nrneph.2017.98

CrossRef Full Text | Google Scholar

63. Perpetuo, L, Ferreira, R, Thongboonkerd, V, Guedes, S, Amado, F, and Vitorino, R. Urinary exosomes: diagnostic impact with a bioinformatic approach. Adv Clin Chem. (2022) 111:69–99. doi: 10.1016/bs.acc.2022.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Kuo, IY, Hsieh, CH, Kuo, WT, Chang, CP, and Wang, YC. Recent advances in conventional and unconventional vesicular secretion pathways in the tumor microenvironment. J Biomed Sci. (2022) 29:56. doi: 10.1186/s12929-022-00837-8

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Picca, A, Guerra, F, Calvani, R, Bucci, C, Lo Monaco, MR, Bentivoglio, AR, et al. Mitochondrial dysfunction and aging: insights from the analysis of extracellular vesicles. Int J Mol Sci. (2019) 20:805. doi: 10.3390/ijms20040805

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Saadi, E, Tal, S, and Barki-Harrington, L. Substrate-inactivated cyclooxygenase-2 is disposed of by exosomes through the ER-Golgi pathway. Biochem J. (2018) 475:3141–51. doi: 10.1042/BCJ20180530

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Jiang, H, Zhao, H, Zhang, M, He, Y, Li, X, Xu, Y, et al. Hypoxia induced changes of exosome cargo and subsequent biological effects. Front Immunol. (2022) 13:824188. doi: 10.3389/fimmu.2022.824188

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Babuta, M, Furi, I, Bala, S, Bukong, TN, Lowe, P, Catalano, D, et al. Dysregulated autophagy and lysosome function are linked to exosome production by Micro-RNA 155 in alcoholic liver disease. Hepatology. (2019) 70:2123–41. doi: 10.1002/hep.30766

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Li, G, Huang, D, Hong, J, Bhat, OM, Yuan, X, and Li, PL. Control of lysosomal TRPML1 channel activity and exosome release by acid ceramidase in mouse podocytes. Am J Physiol Cell Physiol. (2019) 317:C481–91. doi: 10.1152/ajpcell.00150.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Li, G, and Li, PL. Lysosomal TRPML1 channel: implications in cardiovascular and kidney diseases. Adv Exp Med Biol. (2021) 1349:275–301. doi: 10.1007/978-981-16-4254-8_13

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Agborbesong, E, Bissler, J, and Li, X. Liquid biopsy at the frontier of kidney diseases: application of exosomes in diagnostics and therapeutics. Genes. (2023) 14:1367. doi: 10.3390/genes14071367

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Allard, T, Wenner, T, Greten, HJ, and Efferth, T. Mechanisms of herb-induced nephrotoxicity. Curr Med Chem. (2013) 20:2812–9. doi: 10.2174/0929867311320220006

CrossRef Full Text | Google Scholar

73. Assali, EA, Shlomo, D, Zeng, J, Taddeo, EP, Trudeau, KM, Erion, KA, et al. Nanoparticle-mediated lysosomal reacidification restores mitochondrial turnover and function in β cells under lipotoxicity. FASEB J. (2019) 33:4154–65. doi: 10.1096/fj.201801292R

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Awdishu, L, Le, A, Amato, J, Jani, V, Bal, S, Mills, RH, et al. Urinary exosomes identify inflammatory pathways in vancomycin associated acute kidney injury. Int J Mol Sci. (2021) 22:2784. doi: 10.3390/ijms22062784

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Bentley, ML, Corwin, HL, and Dasta, J. Drug-induced acute kidney injury in the critically ill adult: recognition and prevention strategies. Crit Care Med. (2010) 38:S169–74. doi: 10.1097/CCM.0b013e3181de0c60

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Bhargava, P, and Schnellmann, RG. Mitochondrial energetics in the kidney. Nat Rev Nephrol. (2017) 13:629–46. doi: 10.1038/nrneph.2017.107

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Chen, PP, Qin, Y, and Li, XM. Advances in the urinary exosomes in renal diseases. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. (2016) 38:464–9. doi: 10.3881/j.issn.1000-503X.2016.04.017

CrossRef Full Text | Google Scholar

78. Chen, Y, Zhu, Q, Cheng, L, Wang, Y, Li, M, Yang, Q, et al. Exosome detection via the ultrafast-isolation system: EXODUS. Nat Methods. (2021) 18:212–8. doi: 10.1038/s41592-020-01034-x

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Chiaradia, E, Tancini, B, Emiliani, C, Delo, F, Pellegrino, RM, Tognoloni, A, et al. Extracellular vesicles under oxidative stress conditions: biological properties and physiological roles. Cells. (2021) 10:1763. doi: 10.3390/cells10071763

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Claure-Del Granado, R, and Espinosa-Cuevas, M. Herbal nephropathy. Contrib Nephrol. (2021) 199:143–54. doi: 10.1159/000517693

CrossRef Full Text | Google Scholar

81. Dieterle, F, Sistare, F, Goodsaid, F, Papaluca, M, Ozer, JS, Webb, CP, et al. Renal biomarker qualification submission: a dialog between the FDA-EMEA and predictive safety testing consortium. Nat Biotechnol. (2010) 28:455–62. doi: 10.1038/nbt.1625

CrossRef Full Text | Google Scholar

82. Desai, RJ, Kazarov, CL, Wong, A, and Kane-Gill, SL. Kidney damage and stress biomarkers for early identification of drug-induced kidney injury: a systematic review. Drug Saf. (2022) 45:839–52. doi: 10.1007/s40264-022-01202-2

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Edelstein, CL. Biomarkers of acute kidney injury. Adv Chronic Kidney Dis. (2008) 15:222–34. doi: 10.1053/j.ackd.2008.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Feng, J, Chen, Z, Liang, W, Wei, Z, and Ding, G. Roles of mitochondrial DNA damage in kidney diseases: a new biomarker. Int J Mol Sci. (2022) 23:15166. doi: 10.3390/ijms232315166

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Fuchs, TC, and Hewitt, P. Biomarkers for drug-induced renal damage and nephrotoxicity-an overview for applied toxicology. AAPS J. (2011) 13:615–31. doi: 10.1208/s12248-011-9301-x

CrossRef Full Text | Google Scholar

86. Jiang, Y, Wang, F, Wang, K, Zhong, Y, Wei, X, Wang, Q, et al. Engineered exosomes: a promising drug delivery strategy for brain diseases. Curr Med Chem. (2022) 29:3111–24. doi: 10.2174/0929867328666210902142015

CrossRef Full Text | Google Scholar

87. He, T, Wang, Q, Ao, J, Chen, K, Li, X, Zhang, J, et al. Endoplasmic reticulum stress contributes to autophagy and apoptosis in cantharidin-induced nephrotoxicity. Food Chem Toxicol. (2022) 163:112986. doi: 10.1016/j.fct.2022.112986

CrossRef Full Text | Google Scholar

88. Huang, JX, Blaskovich, MA, and Cooper, MA. Cell- and biomarker-based assays for predicting nephrotoxicity. Expert Opin Drug Metab Toxicol. (2014) 10:1621–35. doi: 10.1517/17425255.2014.967681

CrossRef Full Text | Google Scholar

89. Huang, HF, Zhou, JY, and Chen, JH. Biomarkers for early diagnosis of acute kidney injury: current Progress and clinical prospects. Curr Protein Pept Sci. (2017) 18:1205–10. doi: 10.2174/1389203717666160909152205

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Li, KL, Huang, HY, Ren, H, and Yang, XL. Role of exosomes in the pathogenesis of inflammation in Parkinson’s disease. Neural Regen Res. (2022) 17:1898–906. doi: 10.4103/1673-5374.335143

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Li, X, and Yang, L. Urinary exosomes: emerging therapy delivery tools and biomarkers for urinary system diseases. Biomed Pharmacother. (2022) 150:113055. doi: 10.1016/j.biopha.2022.113055

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Ma, Z, Cao, X, Guo, X, Wang, M, Ren, X, Dong, R, et al. Establishment and validation of an in vitro screening method for traditional Chinese medicine-induced nephrotoxicity. Evid Based Complement Alternat Med. (2018) 2018:2461915–5. doi: 10.1155/2018/2461915

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Mishra, DD, Sahoo, B, Maurya, PK, Sharma, R, Varughese, S, Prasad, N, et al. Therapeutic potential of urine exosomes derived from rats with diabetic kidney disease. Front Endocrinol. (2023) 14:1157194. doi: 10.3389/fendo.2023.1157194

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Noonin, C, and Thongboonkerd, V. Exosome-inflammasome crosstalk and their roles in inflammatory responses. Theranostics. (2021) 11:4436–51. doi: 10.7150/thno.54004

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Goggins, E, and Tanaka, S. EXPLORing exosomes for the treatment of acute kidney injury. Kidney Int. (2021) 100:508–10. doi: 10.1016/j.kint.2021.05.039

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Kiliś-Pstrusińska, K, and Wiela-Hojeńska, A. Nephrotoxicity of herbal products in Europe-a review of an underestimated problem. Int J Mol Sci. (2021) 22:4132. doi: 10.3390/ijms22084132

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Panfoli, I, Granata, S, Candiano, G, Verlato, A, Lombardi, G, Bruschi, M, et al. Analysis of urinary exosomes applications for rare kidney disorders. Expert Rev Proteomics. (2020) 17:735–49. doi: 10.1080/14789450.2020.1866993

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Sonoda, H, Lee, BR, Park, KH, Nihalani, D, Yoon, JH, Ikeda, M, et al. miRNA profiling of urinary exosomes to assess the progression of acute kidney injury. Sci Rep. (2019) 9:4692. doi: 10.1038/s41598-019-40747-8

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Sonoda, H, Yokota-Ikeda, N, Oshikawa, S, Kanno, Y, Yoshinaga, K, Uchida, K, et al. Decreased abundance of urinary exosomal aquaporin-1 in renal ischemia-reperfusion injury. Am J Physiol Renal Physiol. (2009) 297:F1006–16. doi: 10.1152/ajprenal.00200.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Street, JM, Koritzinsky, EH, Glispie, D, and Yuen, PST. Urine exosome isolation and characterization. Methods Mol Biol. (2017) 1641:413–23. doi: 10.1007/978-1-4939-7172-5_23

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Street, JM, Koritzinsky, EH, Glispie, DM, Star, RA, and Yuen, PS. Urine exosomes: an emerging trove of biomarkers. Adv Clin Chem. (2017) 78:103–22. doi: 10.1016/bs.acc.2016.07.003

CrossRef Full Text | Google Scholar

102. Thongboonkerd, V, and Kanlaya, R. The divergent roles of exosomes in kidney diseases: pathogenesis, diagnostics, prognostics and therapeutics. Int J Biochem Cell Biol. (2022) 149:106262. doi: 10.1016/j.biocel.2022.106262

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Wang, C, Ding, Q, Plant, P, Basheer, M, Yang, C, Tawedrous, E, et al. Droplet digital PCR improves urinary exosomal miRNA detection compared to real-time PCR. Clin Biochem. (2019) 67:54–9. doi: 10.1016/j.clinbiochem.2019.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Wang, C, Li, Z, Liu, Y, and Yuan, L. Exosomes in atherosclerosis: performers, bystanders, biomarkers, and therapeutic targets. Theranostics. (2021) 11:3996–4010. doi: 10.7150/thno.56035

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Xu, L, Wu, LF, and Deng, FY. Exosome: an emerging source of biomarkers for human diseases. Curr Mol Med. (2019) 19:387–94. doi: 10.2174/1566524019666190429144310

CrossRef Full Text | Google Scholar

106. Yu, W, Hurley, J, Roberts, D, Chakrabortty, SK, Enderle, D, Noerholm, M, et al. Exosome-based liquid biopsies in cancer: opportunities and challenges. Ann Oncol. (2021) 32:466–77. doi: 10.1016/j.annonc.2021.01.074

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Yu, W, Zeng, H, Chen, J, Fu, S, Huang, Q, Xu, Y, et al. miR-20a-5p is enriched in hypoxia-derived tubular exosomes and protects against acute tubular injury. Clin Sci (Lond). (2020) 134:2223–34. doi: 10.1042/CS20200288

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Zhang, W, Liu, R, Chen, Y, Wang, M, and Du, J. Crosstalk between oxidative stress and exosomes. Oxidative Med Cell Longev. (2022) 2022:3553617–1. doi: 10.1155/2022/3553617

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Zhou, H, Cheruvanky, A, Hu, X, Matsumoto, T, Hiramatsu, N, Cho, ME, et al. Urinary exosomal transcription factors, a new class of biomarkers for renal disease. Kidney Int. (2008) 74:613–21. doi: 10.1038/ki.2008.206

CrossRef Full Text | Google Scholar

110. Zhou, H, Pisitkun, T, Aponte, A, Yuen, PS, Hoffert, JD, Yasuda, H, et al. Exosomal Fetuin-a identified by proteomics: a novel urinary biomarker for detecting acute kidney injury. Kidney Int. (2006) 70:1847–57. doi: 10.1038/sj.ki.5001874

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: drug-induced nephrotoxicity, acute kidney injury, biomarkers, urinary exosomes, kidney disease

Citation: Zhou Z, Zhang D, Wang Y, Liu C, Wang L, Yuan Y, Xu X and Jiang Y (2023) Urinary exosomes: a promising biomarker of drug-induced nephrotoxicity. Front. Med. 10:1251839. doi: 10.3389/fmed.2023.1251839

Received: 02 July 2023; Accepted: 11 September 2023;
Published: 22 September 2023.

Edited by:

Fahim Mohamed, University of Peradeniya, Sri Lanka

Reviewed by:

Asmaa ShamsEldeen, Cairo University, Egypt
Thilini Wijerathna, General Sir John Kotelawala Defence University, Sri Lanka

Copyright © 2023 Zhou, Zhang, Wang, Liu, Wang, Yuan, Xu and Jiang. 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: Xiaodan Xu, 187183562@qq.com; Yuan Jiang, 85741920@qq.com

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.