BPG is committed to discovery and dissemination of knowledge
Opinion Review Open Access
Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Nephrol. Sep 25, 2026; 15(3): 122565
Published online Sep 25, 2026. doi: 10.5527/wjn.122565
SLC30A8 (ZnT8) at the crossroads of epigenetics and microRNA regulation in type 2 diabetes and nephropathy
Varun Kumar Sharma, Shilpy Singh, Dharmsheel Shrivastav, Department of Biotechnology, Microbiology and Forensic Sciences, School of Sciences, Noida International University, Greater Noida 203201, Uttar Pradesh, India
Mirza Masroor Ali Beg, Faculty of Medicine, Ala-Too International University, Bishkek 720048, Kyrgyzstan
Sourabh Kumar Singh, Department of Forensic Science, School of Basic and Applied Sciences, K.R. Mangalam University, Gurugram 122103, India
ORCID number: Mirza Masroor Ali Beg (0000-0002-4519-721X); Dharmsheel Shrivastav (0000-0002-2022-3290).
Author contributions: All authors contributed to the study design; conception and Content collection were performed by Shrivastav D, Beg MMA and Sharma VK; the first draft of the manuscript was written by Shrivastav D, Beg MMA, Singh SK and Sharma VK commented on previous versions of the manuscript; final review and editing of the manuscript were done by Shrivastav D, Singh SK, and Sharma VK; all authors read and approved the final manuscript.
AI contribution statement: The authors take full responsibility and accountability for all content of this manuscript, including any portions for which AI tools were used as assistive technologies. All AI-assisted outputs were carefully reviewed, validated, and approved by the authors. AI tools were not used to generate original scientific data, perform independent scientific analyses, or draw scientific conclusions.
Supported by Intramural Seed Money Grant (Project ID NS. 9) from Noida International University, Gautam Budh Nagar, Uttar Pradesh, India, No. NIU/ODR1/2026/IMR/25.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Dharmsheel Shrivastav, PhD, Assistant Professor, Department of Biotechnology, Microbiology and Forensic Sciences, School of Sciences, Noida International University, Plot 1, Yamuna Expy, Sector 17A, Greater Noida 203201, Uttar Pradesh, India. dharmsheel.shrivastav1@gmail.com
Received: April 22, 2026
Revised: June 10, 2026
Accepted: July 9, 2026
Published online: September 25, 2026
Processing time: 113 Days and 15.3 Hours

Abstract

Diabetic nephropathy (DN) is a major kidney disease and linked to type 2 diabetes mellitus (T2DM), and it significantly which increases the global health burden. In the pathogenesis of DN, ZnT8 is essential for zinc transport into insulin granules; it ensures proper insulin crystallization, storage, and secretion while safeguarding β-cells against oxidative stress. it is suggested that the in pathogenesis of DN, the role of the SLC30A8/ZnT8/PDX-1 axis is underexplored along with its mechanism linking β-cell impairment to T2DM progression and renal fibrosis. In this review, we explore the role of microRNA-mediated regulation of SLC30A8/ZnT8 via PDX-1. Under hyperglycaemic and glucolipotoxic conditions, elevated level of miR-375 and miR-765 suppresses PDX-1 (master regulator of β-cell identity) and transcription of SLC30A8, culminating in ZnT8 silencing. PDX-1 directly binds to SLC30A8 enhancers and modulates its expression. Therapeutic targeting of this pathway via miR-375 and miR-765 antagomirs, CRISPR editing, ZnT8 overexpression, or zinc supplementation offers promise for restoring β-cell function and mitigating DN. Large scale clinical trial and epigenetic studies on patient cohorts will help and guide precision interventions.

Key Words: Diabetic nephropathy; Type 2 diabetes; SLC30A8; Epigenetic; MiRNAs; ZnT8

Core Tip: Diabetic nephropathy is a major complication of type 2 diabetes mellitus. This review highlights the emerging role of the miR-375/miR-765–PDX-1–SLC30A8/ZnT8 regulatory axis in β-cell dysfunction and renal injury. Targeting this pathway through epigenetic and gene-based therapies may restore insulin homeostasis and offer novel strategies for diabetic nephropathy management.



INTRODUCTION

Type 2 diabetes mellitus (T2DM) is a multifactorial metabolic disease which is characterized by chronic hyperglycemia. elevated glucose levels, inflammation and oxidative stress are the major factors for development and progression of T2DM[1]. In the human body, the persistent hyperglycemia affecting microvascular and macrovascular system and thereby increasing the risk of diabetes and associated complication like diabetes nephropathy[2,3]. Zinc is a trace and essential element involved in various biological processes, like enzymatic reactions, antioxidant defense mechanisms, immune system regulation, and intracellular and extracellular signaling. In glucose metabolism, zinc plays a crucial role in pancreatic β-cell function and insulin associated pathways[4]. In cells, Insulin is stored in form of secretory granules as zinc-stabilized hexamers, which are regulated by various zinc transporters. ZnT8 (Zinc transporter) which is encoded by the SLC30A8 gene, is majorly expressed in pancreatic β-cells and localized to the membrane of the insulin secretory granules[5]. ZnT8 regulates the transportation of zinc ions from the cytosol into insulin granules and regulates insulin secretion by facilitating insulin crystallization and its storage. ZnT8 also contributes to maintenance of intracellular zinc homeostasis, β-cell survival and protection against oxidative stress[4]. Studies suggested SLC30A8 as a susceptibility locus for T2DM, with both gain-of-function and loss-of-function variants and increasing disease risk[6]. Evidence indicates that in response to metabolic stress, miRNA-based regulation of SLC30A8 plays a critical role in modulating SLC30A8 expression. It is suggested miRNA miR-375/miR-765 regulate SLC30A8 by targeting regulatory networks and contributing to ZnT8 dysregulation in diabetic associated complication like diabetic nephropathy (DN)[7,8]. The aim of this review is to evaluate the mechanism of microRNA-based regulation of SLC30A8 (ZnT8) in T2DM.

MicroRNAs as epigenetic regulators in metabolic disease

MicroRNAs are endogenous, non-coding small RNAs (approximately 18-25 nucleotides in length) which regulate gene expression at the post-transcriptional stage by binding to complementary sequences in target mRNAs, specifically in 3′-untranslated regions. This association degrades/repress mRNA translation thereby regulating protein expression[9,10]. Dysregulation of miRNA expression has been implicated in various pathological processes like insulin resistance, β-cell dysfunction, lipid metabolism, inflammation, fibrosis, and vascular injury all of which contribute to the development and progression of T2DM and its complication[11].

The miR-375/miR-765–PDX-1 axis and SLC30A8 transcription

A defining feature of miRNA-mediated epigenetic silencing of SLC30A8 is the synergistic action of multiple miRNAs. Rather than acting independently, these miRNAs form coordinated regulatory networks that amplify ZnT8 repression in response to hyperglycemia, lipotoxicity, oxidative stress, and inflammatory cytokines. Among these, miR-375 are the most abundant and islet-enriched miRNAs, extensively implicated in β-cell function and dysfunction (Figure 1). Accumulating evidence suggests that dysregulation of miR-375 contributes to the pathogenesis of T2DM[12]. The expression levels of miR-375 and miR-765 are significantly upregulated under diabetic conditions, consistent with previous reports linking their elevated expression to impaired insulin secretion and pancreatic β-cell stress[13].

Figure 1
Figure 1 MiRNA-mediated suppression of PDX-1 disrupts slc30a8/znt8 regulation and insulin granule zinc homeostasis under hyperglycemic conditions schematic representation of the molecular interplay between hyperglycemia-induced microRNAs and PDX-1–ZnT8 signaling in pancreatic β-cells. Under hyperglycemic conditions, upregulation of specific microRNAs (e.g., miR-375, miR-765) leads to translational repression of PDX-1 mRNA in the cytoplasm, resulting in reduced nuclear PDX-1 levels. Attenuated PDX-1 binding to Enhancer A, a regulatory element associated with the SLC30A8 locus compromises transcriptional regulation of ZnT8. Dysregulated ZnT8 expression alters zinc transport into insulin granules, affecting zinc-stabilized insulin hexamer formation and contributing to β-cell dysfunction. This pathway highlights miRNA-driven epigenetic control as a critical mechanism linking chronic hyperglycemia to impaired insulin storage and secretion in diabetes.

PDX-1 is a master islet-enriched transcription factor, indispensable for pancreatic development, β-cell maturation, and maintenance of insulin gene transcription. Alterations in PDX-1 expression or activity are strongly associated with β-cell dysfunction and diabetes progression[14]. Mechanistically, elevated miR-375 and miR-765 exert inhibitory effects on the expression of PDX-1, either directly or indirectly, thereby perturbing transcriptional networks essential for β-cell identity and function[15,16].

This reduction has profound downstream consequences, particularly for genes under direct PDX-1 transcriptional control[17]. Experimental studies have clearly demonstrated that PDX-1 directly regulates SLC30A8 transcription. Specifically, PDX-1 binds to enhancer A of the SLC30A8 gene both in vitro and in situ. Functional analyses have shown that mutation of two PDX-1 binding sites within enhancer A markedly reduces reporter (fusion gene) expression, underscoring the importance of PDX-1 in driving ZnT8 expression in β-cells[18]. Developmental evidence further supports this regulatory relationship. During pancreatic organogenesis, the restriction of PDX-1 expression to pancreatic islet β-cells temporally correlates with the induction of SLC30A8 gene expression and ZnT8 protein accumulation[18].

Downstream consequences of ZnT8 silencing on β-cell failure and fibrosis

Zinc plays a critical role in protecting β-cells from oxidative stress by stabilizing antioxidant enzymes and inhibiting pro-apoptotic signaling pathways. ZnT8 repression increases β-cell vulnerability to oxidative damage, endoplasmic reticulum stress, and inflammatory cytokines, accelerating β-cell apoptosis which ultimately leads to albuminuria, enhances the epithelial-to-mesenchymal transition (EMT), and contribute to kidney fibrosis[19]. In contrast, increasing ZnT8 levels reduces high-glucose–induced inflammation and EMT in kidney cells. ZnT8 protects the kidney mainly by inhibiting the TGF-β1/Smad signaling pathway[20].

Translating pancreatic ZnT8 loss to diabetic nephropathy

The pathophysiological consequences of ZnT8 silencing extend far beyond the pancreatic islets, reaching into the kidney and contributing directly to the development and progression of DN. Chronic hyperglycemia and the resulting systemic zinc dysregulation trigger inflammatory and fibrotic cascades that specifically target the renal parenchyma. Understanding how ZnT8 deficiency in the pancreas translates into kidney damage is critical for developing therapies that address both the primary metabolic defect and its devastating complications.

Although current evidence suggests that ZnT8 deficiency contributes to metabolic dysregulation and renal injury, the existence of a direct pancreas-to-kidney axis remains hypothetical. The study by Zhang et al[19] utilized a global ZnT8 knockout model and therefore could not distinguish between the systemic consequences of pancreatic ZnT8 loss and the local renal effects of ZnT8 deficiency. Future studies employing β-cell-specific and kidney-specific ZnT8 knockout models are needed to clarify these tissue-specific mechanisms[19].

ZnT8 deficiency as a driver of oxidative stress and β-cell apoptosis

The pancreatic β-cell’s protection against the chronic hyperglycemia-imposed oxidative stress is enormously dependent on zinc’s indispensable role. Pancreatic islets contain some of the most metabolically active tissues in human beings; β-cells in the pancreas are especially reliant on oxidative metabolism to generate ATP[21]. Antioxidant defense enzymes are present at low concentrations within β-cells, which makes these cells extremely susceptible to oxidative damage and more vulnerable to damage[21].

Zinc ions are critical cofactors of antioxidant enzymes, such as superoxide dismutase and catalase, and stabilize protein structures in response to oxidative stress. Inhibition of ZnT8 expression by miRNA, promoter hypermethylation or genetic difference suppresses the zinc transport into insulin secretory granules, which is due to the SLC30A8 gene defect discovered by genome-wide association studies that can influence the cytosolic Zn2+ concentrations and, consequently, predisposition to hypoxia and oxidative stress[22-24]. Clinical significance of this mechanism is indicated by the observation that T2DM patients have lower levels of plasma zinc and higher levels of urinary zinc lost[25]. The changes in zinc level are linked to a higher risk of T2DM, although hyperglycemia has not yet occurred, and therefore zinc dysregulation occurs in the early disease pathogenesis. It was observed that pancreatic zinc concentration in diabetic participants was half that in non-diabetic participants[26].

Breaking the TGF-β1/Smad pathway: ZnT8 as a renal protector

The effects of ZnT8 silencing extend beyond the pancreas. Accumulating evidence confirmes that, ZnT8 has a direct protective effect on the kidney, and with loss causes worsening the fibrotic events that characterize DN. The groundbreaking research of Zhang et al[19] presented the first direct indication that ZnT8 could prevent EMT, as well as tubulointerstitial fibrosis, by inhibiting the TGF-β1/Smad signaling. The investigators evaluated, db/db mice, ZnT8-KO mice, double-mutant ZnT8-KO-STZ and ZnT8-KO-db/db mice and reveal that ZnT8 deficiency has a devastating impact on diabetic kidney injury. ZnT8-KO-STZ and ZnT8-KO-db/db mice had a significantly increased urine albumin-to-creatinine ratio (UACR), a clinical manifestation of DN, in comparison to diabetic mice whose ZnT8 was intact. Additionally, the TGF-β1, interleukin-6, and TNF-α levels in serum samples of ZnT8-deficient diabetic mice were elevated, which suggests the presence of increased systemic and renal inflammation[19]. High glucose-induced stimulation of renal tubular epithelial cells increased the expression of phosphorylated Smad2 and Smad3 the canonical downstream effectors of TGF-β1 signal transduction. Notably, this Smad activation was further increased by ZnT8 silencing by siRNA, and also decreased by ZnT8 overexpression through transfection of hZnT8-EGFP suggested strong connection between ZnT8 and TGF-β1 1/Smad pathway[19].

TGF-β1/Smad is the controller of tissue fibrosis, which stimulates the transformation of fibroblasts to myofibroblasts, the excessive extracellular fibrosis with collagen and fibronectin, and progressive obliteration of normal tissue architecture[27]. Under DN conditions, the chronic TGF-β1/Smad signaling within the kidney results in glomerulosclerosis and tubulointerstitial fibrosis, which result in the loss of renal functions and subsequent end-stage renal disease. Therefore, ZnT8 turns out to be an endogenous reno-protective factor whose silencing is a direct contributor to the fibrotic diabetic complications[28].

EMT and albuminuria in DN consequence

EMT plays a key role in the initial pathogenesis of renal fibrosis in diabetic kidney disease. Mature renal tubular epithelial cells undergo massive cytoskeletal reorganization, lose epithelial markers (e.g., E-cadherin) and become mesenchymal-like, characterized by the expression of mesenchymal proteins (vimentin and alpha-smooth muscle actin) during EMT. The changed cells further proliferate into the interstitium, where they become part of the growing pool of matrix-producing myofibroblasts and lead to tubulointerstitial fibrosis[29,30]. Zhang et al[19] demonstrated that lack of ZnT8 aggravates the pathological progression of kidney in diabetes. Immunofluorescence staining of the kidneys from ZnT8-KO-STZ and ZnT8-KO-db/db mice showed upregulation of the mesenchymal marker vimentin and suppression of the epithelial marker E-cadherin as compared to diabetic control mice, indicative of an acceleration of EMT. In addition, increased UACR was observed, thus associating the exacerbated EMT with increased albuminuria and renal injury[19].

Therapeutic implications and restoring the broken axis

The miRNA-induced silencing, epigenetic repression, and ZnT8 deficiency delineate an essential pathological axis of T2DM and DN. Reinstating this axis either by antagonizing pathogenic miRNAs, modifying epigenetic regulatory elements, increasing ZnT8 levels, or administering zinc provides various therapeutic options for maintaining cell function and preventing kidney damage[31].

Antagomirs against miR-375 and miR-765 restoring PDX-1 expression

The miR-375 and miR-765 in regard to diabetes. MiR-375 is the highest concentration islet specific miRNA and is a critical negative regulator of insulin release. Early data indicated that miR-375 overexpression decreases insulin secretion upon glucose stimulation, whereas suppression of endogenous miR-375 results in an increased amount of insulin released through actions mediated by its target myotrophin[32]. Upregulation of miR-375 and miR-765 has been observed affecting the PDX-1 expression directly or indirectly, thereby altering the transcriptional networks essential for β-cell identity and function[12,32].

CRISPR-based epigenetic editing-permanent restoration of SLC30A8 expression

Antagomirs are a reversible and short-to-medium-term strategy for miRNA inhibition, whereas CRISPR-based epigenetic editing can permanently restore the expression of SLC30A8. SLC30A8 gene locus found that T2DM-associated risk variants are located in an islet-selective super-enhancer cluster that controls not only SLC30A8 but also neighboring genes. Epigenomic profiling uncovered a complex enhancer domain at the SLC30A8 locus that harbors multiple T2DM risk and candidate cis-acting expression associations. This super-enhancer cluster is not only physically linked to the SLC30A8 gene promoter but also to other nearby genes, such as UTP23, RAD21, and MED30. Interestingly, knockout of variant-carrying enhancer segments via CRISPR-Cas9 in human-derived EndoC-H3 cells reduces SLC30A8 expression but, at the same time, increases glucose-stimulated insulin secretion[31,33].

ZnT8 overexpression and direct rescue of zinc homeostasis in β-cells and kidney

Delivery of the SLC30A8 coding sequence using viral vector under β-celll-selective promoter (like insulin or PDX-1 promoters) could overcome transcriptional repression yet maintain cell-type specificity[18]. ZnT8 deficiency worsens diabetic renal damage by activating the TGF-β1/Smad-mediated EMT and tubulointerstitial fibrosis. Some studies have shown that transfection with hZnT8-EGFP, leading to ZnT8 overexpression, markedly counteracts high glucose-induced EMT modifications of renal tubular epithelial cells and lowers Smad2/3 phosphorylation. Therefore, ZnT8 expression restoration in pancreatic cells and renal tissues could be a two-edged sword[19].

Zinc supplementation as simple adjunct to restore insulin granule function

Zinc supplementation stands out as the most straightforward and easily implementable method among these therapeutic strategies. Zinc is an indispensable element in the insulin storage and crystallization processes, and zinc ions are co-secreted with insulin to perform important functions, such as preventing the monomeric insulin from forming amyloidogenic aggregates[34]. However, clinical investigations into zinc supplementation for diabetes have shown a combination of positive and negative results. One recent randomized, double-blind, placebo-controlled study testing pre-diabetic adults using 30 mg zinc gluconate per day for six months found that it did not make any significant difference in HbA1c or fasting blood glucose when compared with the placebo. The researchers concluded that their data do not justify supplemental zinc use in individuals consuming a Western diet, where zinc deficiency at baseline might be rare[35]. Newly diagnosed T2DM patients receiving 50 mg/day zinc supplementation for a period of 12 months with standard metformin treatment not only resulted in a significant decrease in fasting blood glucose (by 21.52 mg/dL), postprandial blood glucose (by 47.53 mg/dL), but also HbA1c was lowered (by 0.79%) as compared with the placebo group. A good influence on the lipid profile was noticed as well, comprising the drop in low-density lipoprotein cholesterol, triglycerides, and total cholesterol[34]. Zinc supplementation may synergize with other approaches that also target the miRNA-PDX-1-ZnT8 axis. For instance, antagomir and zinc combination may bring the most significant impact: Antagomirs would reverse the repression of endogenous ZnT8, while zinc supplementation would provide the substrate for the crystallization of insulin in granules where there still exists some ZnT8 function. Likewise, zinc could potentiate the effectiveness of CRISPR-mediated approaches by providing adequate zinc ions for the newly produced ZnT8 proteins to transport[36]. Since zinc at moderate doses has good safety among the population with verified zinc shortage or in the early stages of diabetes, where residual β-cell mass is still preserved. Nevertheless, the varying results from clinical trials point to the necessity for patient classification according to their initial zinc levels and disease stages before putting forward the general use of zinc (Figure 2)[37].

Figure 2
Figure 2  Restoring PDX-1 and ZnT8 homeostasis in diabetes and nephropathy through novel therapeutic approaches.

However, the genetic evidence for SLC30A8 is more nuanced and suggests a context-dependent role in diabetes. Genetic studies indicate that the role of SLC30A8/ZnT8 in diabetes is context dependent rather than uniformly harmful or beneficial. Although some loss-of-function variants and enhancer deletions are associated with improved glycemic phenotypes and reduced T2DM risk, these findings likely reflect partial reduction of ZnT8 activity, compensatory adaptations, or effects specific to certain cellular and metabolic contexts. Therefore, therapeutic strategies targeting ZnT8 should not be interpreted as simple restoration in all settings, but rather as approaches that aim to normalize zinc homeostasis in a manner that is appropriate to disease stage and biological context.

Although several studies report beneficial effects of zinc supplementation, other investigations have shown limited or no effect, indicating that the therapeutic response is context dependent. These discrepancies may reflect differences in baseline zinc status, supplementation dose and duration, disease severity, and study design. Therefore, zinc supplementation should be interpreted as a potentially useful intervention in selected settings rather than as a universally effective strategy.

Biomarker potential of circulating miRNAs as early warning signals for T2DM and DN

Identifying reliable, non-invasive biomarkers for the early detection of T2DM and DN remains an urgent clinical priority. Current diagnostic approaches, including fasting plasma glucose, HbA1c, and urinary albumin excretion, detect disease only after significant β-cell dysfunction or renal damage has already occurred[38]. Circulating miRNAs, particularly those derived from pancreatic islets and released into the bloodstream, offer a transformative opportunity for early warning, risk stratification, and monitoring of therapeutic response[39-41].

MiR-375, and miR-765 as probes of β-cell health

The most promising candidate biomarkers that have been identified so far are miR-375 and miR-765. Both these miRNAs are greatly enriched in the pancreatic islets and show a significant increase in diabetic conditions. miR-375 is a dominant miRNA found in pancreatic cells since it makes up nearly 40% of the total islet miRNAs. Besides, its level of expression changes depending on the metabolic stress[12]. In hyperglycemia and dyslipidemia, increased levels of miR-375 and miR-765 inhibit the expression of PDX-1, disrupting transcriptional networks that are crucial for maintaining cell identity and function[32]. Similarly, miR-375 is primarily produced and secreted by β-cells, and under stress or damage conditions, it is released into the blood circulation. Hence, taking a sample from the blood and analyzing it can be used as an indicative marker[12]. The levels of miR-375 and miR-765 are greatly increased when cells are exposed to an environment that mimics diabetes. This finding agrees well with previous studies that reported that high levels of miR-375 and miR-765 are associated with reduced insulin secretion and cell dysfunction could be a marker[12]. Elevated circulating miR-375 levels have been consistently found in patients with T2DM. The levels have also been found to correlate with the extent of hyperglycemia and cell dysfunction. Third, alterations in circulating miR-375 occur before manifest hyperglycemia in individuals at risk, implicating its potential for early risk prediction[42]. Combining several miRNAs might be able to achieve better diagnostic accuracy than one miRNA alone since each one reflects different facets of cell pathophysiology[43].

Circulating miRNAs as liquid biopsies for DN

Circulating miRNAs have potential uses beyond the context of pancreatic health; specifically, there is an opportunity to utilize circulating miRNAs as markers for the early identification of DN. During the progression of DN, damaged renal cells such as podocytes, tubular epithelial and glomerular endothelial cells, will release miRNA into the bloodstream and urine. These miRNAs will therefore provide a molecular representation of renal pathology that can be detected prior to the presence of albuminuria[44]. There have been several studies done in which they found circulating miRNA signatures associated with DN. There have been studies where they found that levels of miR-21, miR-29a, and miR-126 are elevated within the circulation of patients with DN compared to a patient who is diabetic without nephropathy or DN. The elevated levels of those biomarkers correlated with how much albuminuria was present in a patient and whether the patient’s estimated glomerular filtration rate was declining. Lastly, there have been some promising studies showing that urinary exosomal miRNAs (miR-15a, miR-34a, and miR-146a) may also provide the means to distinguish early stages of DN vs established DN[45-47].

The miRNAs, particularly miR-375 that are responsible for inducing β-cell dysfunction may also be responsible for causing renal disease. While miR-375 is primarily known to be expressed at high levels in islet tissues, it is now emerging that there is also a possibility that miR-375 is expressed in the kidney when there are pathologies or that β-cell-derived miR-375 can be transported from the blood into the kidney cells to activate inflammatory and fibrotic pathways. Therefore, miR-375 may serve as an integrator of pancreatic and renal damage, which supports the idea of a converging axis as discussed in this review[12,48].

Combining miRNA signatures with epigenetic and clinical markers

Circulating miRNAs is one of the most promising biomarkers for diabetes when coupled with various measurable parameters such as the SLC30A8 promoter methylation state, serum zinc, and the traditional Clinical Markers. With these factors taken into consideration, we will achieve a better representation of the miRNA-PDX-1-ZnT8 pathway, thus enhancing our prediction efficiency. In specific, a biomarker panel would involve[32,49]. First, the promoter methylation state of the SLC30A8 gene in circulating cell-free DNA in the plasma and peripheral blood mononuclear cell will inform us of the epigenetic factor in down regulation of ZnT8 mRNA in diabetic patients as well as zinc serum or plasma levels to measure general zinc balance[50]. Urinary ZnT8 protein concentration measurements will show the presence of renal ZnT8 protein and the status of the tubular systems[50]. Finally, there is clinical correlation using the traditional markers including the fasting blood glucose, HbA1c, and albumin creatinine ratios of the urine samples[50-53]. Long-term studies evaluating these biomarkers from pre-diabetes through overt T2DM to DN will be crucial in determining their prognostic significance. Longitudinal studies will help determine whether variations in serum miRNAs precede or occur after variations in glycemic control and whether miRNA variations can independently predict renal function decline (Figure 3).

Figure 3
Figure 3 Circulating miR-375 and miR-765 as promising biomarkers for early detection of type 2 diabetes mellitus and diabetic nephropathy, integrated with epigenetic and clinical markers. T2DM: Type 2 diabetes mellitus; DN: Diabetic nephropathy; FBG: Fasting blood glucose.
FUTURE PERSPECTIVES AND RESEARCH DIRECTIONS

Future research should focus on elucidating the miR-375/miR-765/PDX-1–ZnT8 regulatory axis as a potential therapeutic target in T2DM and DN, using advanced experimental models and targeted interventions (Figure 1). A clearer understanding of this pathway may help identify novel strategies to preserve β-cell function and prevent diabetes-related renal complications[12,15,16]. Targeting miR-375 represents a promising approach. Regulation of miR-375 using antagomirs or CRISPR-based strategies in β-cell lines and human islets may restore PDX-1 and ZnT8 expression, thereby improving insulin secretion and insulin granule stability under glucolipotoxic stress[54,55]. Longitudinal epigenomic analyses, including miRNA sequencing and chromatin profiling of PDX-1 and AHR binding, in well-characterized patient cohorts stratified by SLC30A8 variants may reveal disease heterogeneity and guide personalized therapies[56]. Such strategies could include targeted zinc supplementation combined with existing antidiabetic treatments. In parallel, clinical studies evaluating ZnT8 autoantibodies as potential biomarkers of DN risk may help identify high-risk individuals who could benefit from early and proactive interventions[57].

Technical considerations and clinical translation

Several technical limitations impede the translation of circulating miRNAs into clinical practice. Standardization of both pre- and post-analytical procedures is critical to ensure reliability, whereas the absence of common stable endogenous controls poses challenges for normalization. Moreover, the variable tissue source of numerous circulating miRNAs represents another obstacle to interpretation. Despite these drawbacks, miRNAs represent attractive biomarkers given their exceptional stability in body fluids, which is mainly associated with their confinement in exosomes and protein aggregates. In order to advance the application of miRNAs in predicting T2DM and related complications, future large-scale prospective cohort studies among high-risk groups should be conducted to validate appropriate thresholds for specific miRNAs such as miR-375 and miR-765.

CONCLUSION

The regulatory axis between miR-375/miR-765–PDX-1–ZnT8 shows a crucial molecular association between impaired zinc homeostasis, β-cell dysfunction, T2DM, and DN. Targeting this pathway may enable early diagnosis and precision therapies. Future large-scale clinical and epigenetic studies are required to validate its biomarker and therapeutic potential.

References
1.  Shrivastav D, Mishra J, Sharma VK, Singh S, Khan MI, Alsanie SA, Ashfaq F, Beg MMA. Biochemical and Physiological Response During Oxidative Stress: A Cross-Species Perspective. Rejuvenation Res. 2026;29:29-39.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 4]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
2.  Shrivastav D, Dabla PK, Sharma J, Viswas A, Mir R. Insights on antioxidant therapeutic strategies in type 2 diabetes mellitus: A narrative review of randomized control trials. World J Diabetes. 2023;14:919-929.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 7]  [Cited by in RCA: 14]  [Article Influence: 4.7]  [Reference Citation Analysis (0)]
3.  Wang X, Cai G, Ouyang Q, Chen X. Burden analysis of diabetic nephropathy caused by excessive intake of sugar-sweetened beverages in high and low SDI regions. Front Public Health. 2025;13:1598278.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
4.  Chen B, Yu P, Chan WN, Xie F, Zhang Y, Liang L, Leung KT, Lo KW, Yu J, Tse GMK, Kang W, To KF. Cellular zinc metabolism and zinc signaling: from biological functions to diseases and therapeutic targets. Signal Transduct Target Ther. 2024;9:6.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 239]  [Reference Citation Analysis (0)]
5.  Sirivarasai J, Tristitworn P, Shantavasinkul PC, Roytrakul S, Chansirikarnjana S, Ruangritchankul S, Chanprasertyothin S, Charernwat P, Panpunuan P, Sura T, Sritara P. Genetic Polymorphism of Zinc Transporter-8 Gene (SLC30A8), Serum Zinc Concentrations, and Proteome Profiles Related to Type 2 Diabetes in Elderly. J Clin Med. 2025;14:790.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
6.  Mashal S, Khanfar M, Al-Khalayfa S, Srour L, Mustafa L, Hakooz NM, Zayed AA, Khader YS, Azab B. SLC30A8 gene polymorphism rs13266634 associated with increased risk for developing type 2 diabetes mellitus in Jordanian population. Gene. 2021;768:145279.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 19]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
7.  Li N, Li Y, Xu Q, Xu J, Yu Y, Su J, Shen C, Yu J, Gu HF. SLC30A8 promoter hypermethylation is associated with type 2 diabetes and diabetic kidney disease in a Chinese population. World J Diabetes. 2026;17:113947.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
8.  Pérez-García A, Torrecilla-Parra M, Fernández-de Frutos M, Martín-Martín Y, Pardo-Marqués V, Ramírez CM. Posttranscriptional Regulation of Insulin Resistance: Implications for Metabolic Diseases. Biomolecules. 2022;12:208.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 5]  [Cited by in RCA: 31]  [Article Influence: 7.8]  [Reference Citation Analysis (0)]
9.  Sharma VK, Kaveri SV, Bayry J. Impaired regulatory T cell function in autoimmune diseases: are microRNAs the culprits? Cell Mol Immunol. 2016;13:135-137.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 5]  [Cited by in RCA: 7]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
10.  Sharma VK, Raimondi V, Ruggero K, Pise-Masison CA, Cavallari I, Silic-Benussi M, Ciminale V, D’Agostino DM. Expression of miR-34a in T-Cells Infected by Human T-Lymphotropic Virus 1. Front Microbiol. 2018;9:832.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 11]  [Cited by in RCA: 20]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
11.  Shrivastav D, Singh DD. Emerging roles of microRNAs as diagnostics and potential therapeutic interest in type 2 diabetes mellitus. World J Clin Cases. 2024;12:525-537.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 2]  [Cited by in RCA: 8]  [Article Influence: 4.0]  [Reference Citation Analysis (7)]
12.  Pierantoni M, Dell’Aira M, Grassilli S, Brugnoli F, Bertagnolo V. MicroRNA 375 and diabetes: A key regulator of β cell function and a promising non-invasive biomarker. World J Diabetes. 2025;16:110097.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
13.  Sangali P, Abdullahi S, Nosrati M, Khosravi-Asrami OF, Mahrooz A, Bagheri A. Altered expression of miR-375 and miR-541 in type 2 diabetes patients with and without coronary artery disease (CAD): the potential of miR-375 as a CAD biomarker. J Diabetes Metab Disord. 2024;23:1101-1106.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 5]  [Cited by in RCA: 6]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
14.  Fujimoto K, Polonsky KS. Pdx1 and other factors that regulate pancreatic beta-cell survival. Diabetes Obes Metab. 2009;11 Suppl 4:30-37.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 148]  [Cited by in RCA: 180]  [Article Influence: 10.6]  [Reference Citation Analysis (0)]
15.  Bleck B, Grunig G, Chiu A, Liu M, Gordon T, Kazeros A, Reibman J. MicroRNA-375 regulation of thymic stromal lymphopoietin by diesel exhaust particles and ambient particulate matter in human bronchial epithelial cells. J Immunol. 2013;190:3757-3763.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 74]  [Cited by in RCA: 84]  [Article Influence: 6.5]  [Reference Citation Analysis (0)]
16.  Pierantoni M, Zamarian V, Brugnoli F, Grassilli S, Monaco L, Dell’Aira M, Sordi V, Bertagnolo V. Vav1 Sustains the Expression of Insulin, PDX1 and miR-375 During Differentiation of hiPSCs to β Cells: A Potential Target to Improve the In Vitro Generation of Insulin-Producing Cells. Tissue Eng Regen Med. 2026;23:287-300.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
17.  Glavas MM, Hui Q, Tudurí E, Erener S, Kasteel NL, Johnson JD, Kieffer TJ. Early overnutrition reduces Pdx1 expression and induces β cell failure in Swiss Webster mice. Sci Rep. 2019;9:3619.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 13]  [Cited by in RCA: 19]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
18.  Pound LD, Hang Y, Sarkar SA, Wang Y, Milam LA, Oeser JK, Printz RL, Lee CE, Stein R, Hutton JC, O’Brien RM. The pancreatic islet β-cell-enriched transcription factor Pdx-1 regulates Slc30a8 gene transcription through an intronic enhancer. Biochem J. 2011;433:95-105.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 27]  [Cited by in RCA: 26]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
19.  Zhang X, Guan T, Yang B, Gu HF, Chi Z. Effects of ZnT8 on epithelial-to-mesenchymal transition and tubulointerstitial fibrosis in diabetic kidney disease. Cell Death Dis. 2020;11:544.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 16]  [Cited by in RCA: 20]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
20.  Chi Y, Zhang X, Liang D, Wang Y, Cai X, Dong J, Li L, Chi Z. ZnT8 Exerts Anti-apoptosis of Kidney Tubular Epithelial Cell in Diabetic Kidney Disease Through TNFAIP3-NF-κB Signal Pathways. Biol Trace Elem Res. 2023;201:2442-2457.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 10]  [Article Influence: 3.3]  [Reference Citation Analysis (1)]
21.  Gerber PA, Rutter GA. The Role of Oxidative Stress and Hypoxia in Pancreatic Beta-Cell Dysfunction in Diabetes Mellitus. Antioxid Redox Signal. 2017;26:501-518.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 550]  [Cited by in RCA: 490]  [Article Influence: 54.4]  [Reference Citation Analysis (0)]
22.  Marreiro DD, Cruz KJ, Morais JB, Beserra JB, Severo JS, de Oliveira AR. Zinc and Oxidative Stress: Current Mechanisms. Antioxidants (Basel). 2017;6:24.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 203]  [Cited by in RCA: 414]  [Article Influence: 46.0]  [Reference Citation Analysis (0)]
23.  Bijowski K, Dąbrowska E, Brzóska MM, Rogalska J, Orywal K, Dąbrowska ZN, Borys J. The Protective Effect of Zinc Supplementation Against Oxidative Stress and Oxidative Modifications of Cellular Macromolecules in the Mandibular Bone of Rats Exposed to Cadmium. Antioxidants (Basel). 2025;14:1480.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
24.  Lee SR. Critical Role of Zinc as Either an Antioxidant or a Prooxidant in Cellular Systems. Oxid Med Cell Longev. 2018;2018:9156285.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 128]  [Cited by in RCA: 261]  [Article Influence: 32.6]  [Reference Citation Analysis (1)]
25.  Galvez-Fernandez M, Powers M, Grau-Perez M, Domingo-Relloso A, Lolacono N, Goessler W, Zhang Y, Fretts A, Umans JG, Maruthur N, Navas-Acien A. Urinary Zinc and Incident Type 2 Diabetes: Prospective Evidence From the Strong Heart Study. Diabetes Care. 2022;45:2561-2569.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 13]  [Cited by in RCA: 37]  [Article Influence: 9.3]  [Reference Citation Analysis (0)]
26.  Wijesekara N, Chimienti F, Wheeler MB. Zinc, a regulator of islet function and glucose homeostasis. Diabetes Obes Metab. 2009;11 Suppl 4:202-214.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 107]  [Cited by in RCA: 109]  [Article Influence: 6.4]  [Reference Citation Analysis (0)]
27.  Chen F, Lyu L, Xing C, Chen Y, Hu S, Wang M, Ai Z. The pivotal role of TGF-β/Smad pathway in fibrosis pathogenesis and treatment. Front Oncol. 2025;15:1649179.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 19]  [Cited by in RCA: 35]  [Article Influence: 35.0]  [Reference Citation Analysis (1)]
28.  Zou Y, Dai J, Li J, Liu M, Li R, Li G, Lai J, Wang L. Role of the TGFβ/Smad signaling pathway in the transition from acute kidney injury to chronic kidney disease (Review). Int J Mol Med. 2025;56:162.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 11]  [Reference Citation Analysis (0)]
29.  Loeffler I, Wolf G. Epithelial-to-Mesenchymal Transition in Diabetic Nephropathy: Fact or Fiction? Cells. 2015;4:631-652.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 225]  [Cited by in RCA: 215]  [Article Influence: 19.5]  [Reference Citation Analysis (0)]
30.  Hills CE, Squires PE. TGF-beta1-induced epithelial-to-mesenchymal transition and therapeutic intervention in diabetic nephropathy. Am J Nephrol. 2010;31:68-74.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 140]  [Cited by in RCA: 168]  [Article Influence: 9.9]  [Reference Citation Analysis (1)]
31.  Hu M, Kim I, Morán I, Peng W, Sun O, Bonnefond A, Khamis A, Bonàs-Guarch S, Froguel P, Rutter GA. Multiple genetic variants at the SLC30A8 locus affect local super-enhancer activity and influence pancreatic β-cell survival and function. FASEB J. 2024;38:e23610.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 8]  [Cited by in RCA: 7]  [Article Influence: 3.5]  [Reference Citation Analysis (2)]
32.  Zheng L, Wang Y, Li Y, Li L, Wang X, Li Y. miR-765 targeting PDX1 impairs pancreatic β-cell function to induce type 2 diabetes. Arch Physiol Biochem. 2023;129:1279-1288.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 5]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
33.  Firth G, Georgiadou E, Griffiths A, Amrahli M, Kim J, Yu Z, Hu M, Stewart TJ, Leclerc I, Okamoto H, Gomez D, Blower PJ, Rutter GA. Impact of an SLC30A8 loss-of-function variant on the pancreatic distribution of zinc and manganese: laser ablation-ICP-MS and positron emission tomography studies in mice. Front Endocrinol (Lausanne). 2023;14:1171933.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 2]  [Cited by in RCA: 4]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
34.  Chhina GS, Chhabra A, Luthra SR, Khattar S, Singh P, Luthra S. Effect of Zinc Supplementation on Glycemic Control in Newly Diagnosed Patients With Type 2 Diabetes Mellitus. Cureus. 2024;16:e69180.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
35.  Klein E, Velina D, Mutallibzoda S, Tefikova S, Orlovtseva O, Kosenkov AN, Kulikov D, Nikitin I. Zinc and Type 2 Diabetes: A Systematic Review with a Narrative Synthesis of Their Bidirectional Relationship and Clinical Perspectives for Personalized Nutritional Support. Diseases. 2025;13:396.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
36.  Lemaire K, Ravier MA, Schraenen A, Creemers JW, Van de Plas R, Granvik M, Van Lommel L, Waelkens E, Chimienti F, Rutter GA, Gilon P, in’t Veld PA, Schuit FC. Insulin crystallization depends on zinc transporter ZnT8 expression, but is not required for normal glucose homeostasis in mice. Proc Natl Acad Sci U S A. 2009;106:14872-14877.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 254]  [Cited by in RCA: 250]  [Article Influence: 14.7]  [Reference Citation Analysis (0)]
37.  Maret W. Zinc in Pancreatic Islet Biology, Insulin Sensitivity, and Diabetes. Prev Nutr Food Sci. 2017;22:1-8.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 72]  [Cited by in RCA: 101]  [Article Influence: 11.2]  [Reference Citation Analysis (0)]
38.  Chen Y, Liu X, Shengbu M, Shi Q, Jiaqiu S, Lai X. Biomarkers: New Advances in Diabetic Nephropathy. Nat Prod Commun. 2025;20:1934578X251321758.  [PubMed]  [DOI]  [Full Text]
39.  Singh S, Sharma VK, Shrivastav D. Molecular insights into hyperglycemia-associated coronary heart disease: From glycemic variability and heart rate dynamics to long noncoding RNAs. World J Diabetes. 2026;17:115033.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
40.  R J, A A, Meher K, Wunnava A, D G, Sharma VK, Saraswat V. Noncoding RNA Biomarkers Enabling Real-Time Molecular Surveillance of Chronic Disease Progression. Genet Mol Res. 2025;24.  [PubMed]  [DOI]  [Full Text]
41.  Wang C, Cai H, Cai Q, Wu J, Stolzenberg-Solomon R, Guo X, Zhu C, Gao YT, Berlin J, Ye F, Zheng W, Setiawan VW, Shu XO. Circulating microRNAs in association with pancreatic cancer risk within 5 years. Int J Cancer. 2024;155:519-531.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 12]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
42.  Wu X, Li Y, Man B, Li D. Assessing MicroRNA-375 Levels in Type 2 Diabetes Mellitus (T2DM) Patients and Their First-Degree Relatives with T2DM. Diabetes Metab Syndr Obes. 2021;14:1445-1451.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 19]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
43.  Zhang X, Qiu Y, Liu DA, Hu R, Chen S, Xu Y, Chen K, Yuan J, Li X. Recent advances in early diagnosis and treatment of T1D with miRNAs. Front Endocrinol (Lausanne). 2025;16:1582963.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
44.  Bravo-Vázquez LA, Paul S, Colín-Jurado MG, Márquez-Gallardo LD, Castañón-Cortés LG, Banerjee A, Pathak S, Duttaroy AK. Exploring the Therapeutic Significance of microRNAs and lncRNAs in Kidney Diseases. Genes (Basel). 2024;15:123.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 22]  [Article Influence: 11.0]  [Reference Citation Analysis (0)]
45.  Chien HY, Chen CY, Chiu YH, Lin YC, Li WC. Differential microRNA Profiles Predict Diabetic Nephropathy Progression in Taiwan. Int J Med Sci. 2016;13:457-465.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 51]  [Cited by in RCA: 67]  [Article Influence: 6.7]  [Reference Citation Analysis (0)]
46.  Al-Kafaji G, Al-Mahroos G, Al-Muhtaresh HA, Skrypnyk C, Sabry MA, Ramadan AR. Decreased expression of circulating microRNA-126 in patients with type 2 diabetic nephropathy: A potential blood-based biomarker. Exp Ther Med. 2016;12:815-822.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 49]  [Cited by in RCA: 63]  [Article Influence: 6.3]  [Reference Citation Analysis (0)]
47.  Tang J, Yao D, Yan H, Chen X, Wang L, Zhan H. The Role of MicroRNAs in the Pathogenesis of Diabetic Nephropathy. Int J Endocrinol. 2019;2019:8719060.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 24]  [Cited by in RCA: 60]  [Article Influence: 8.6]  [Reference Citation Analysis (1)]
48.  Chiba M, Niiyama I, Uehara H, Kuwata H. Injured pancreatic β cells enhance the release of miR-375-3p into the extracellular space. Exp Ther Med. 2019;17:2815-2820.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
49.  Erener S, Mojibian M, Fox JK, Denroche HC, Kieffer TJ. Circulating miR-375 as a biomarker of β-cell death and diabetes in mice. Endocrinology. 2013;154:603-608.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 169]  [Cited by in RCA: 144]  [Article Influence: 11.1]  [Reference Citation Analysis (0)]
50.  Gu HF. Genetic, Epigenetic and Biological Effects of Zinc Transporter (SLC30A8) in Type 1 and Type 2 Diabetes. Curr Diabetes Rev. 2017;13:132-140.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 11]  [Cited by in RCA: 17]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
51.  Song JJ, Han XF, Chen JF, Liu KM. Correlation between glycated hemoglobin A1c, urinary microalbumin, urinary creatinine, β2 microglobulin, retinol binding protein and diabetic retinopathy. World J Diabetes. 2023;14:1103-1111.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 11]  [Cited by in RCA: 10]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
52.  Wani ZA, Ahmed S, Saleh A, Anna VR, Fahelelbom KM, Raju SK, Abu-rayyan A, Bhat AR. Biomarkers in diabetic nephropathy: A comprehensive review of their role in early detection and disease progression monitoring. Diabetes Res Clin Pract. 2025;226:112292.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 17]  [Reference Citation Analysis (1)]
53.  Wang J, Wang Y, Li Y, Hu Y, Jin L, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, Chen L, Gu W, Lyv Z, Mu Y. High Normal Urinary Albumin-Creatinine Ratio Is Associated With Hypertension, Type 2 Diabetes Mellitus, HTN With T2DM, Dyslipidemia, and Cardiovascular Diseases in the Chinese Population: A Report From the REACTION Study. Front Endocrinol (Lausanne). 2022;13:864562.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 17]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
54.  Shu WJ, Ma Z, Jia L, Guo B, Tian X, He C, Wang F. MiR-ON-CRISPR: a microRNA-activated CRISPR-dCas9 system for precise gene therapy in living cells and mouse models of sepsis. Nucleic Acids Res. 2025;53:gkaf1037.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
55.  Marchand L, Jalabert A, Meugnier E, Van den Hende K, Fabien N, Nicolino M, Madec AM, Thivolet C, Rome S. miRNA-375 a Sensor of Glucotoxicity Is Altered in the Serum of Children with Newly Diagnosed Type 1 Diabetes. J Diabetes Res. 2016;2016:1869082.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 66]  [Cited by in RCA: 68]  [Article Influence: 6.8]  [Reference Citation Analysis (0)]
56.  Xue D, Narisu N, Taylor DL, Zhang M, Grenko C, Taylor HJ, Yan T, Tang X, Sinha N, Zhu J, Vandana JJ, Nok Chong AC, Lee A, Mansell EC, Swift AJ, Erdos MR, Zhong A, Bonnycastle LL, Zhou T, Chen S, Collins FS. Functional interrogation of twenty type 2 diabetes-associated genes using isogenic human embryonic stem cell-derived β-like cells. Cell Metab. 2023;35:1897-1914.e11.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 36]  [Cited by in RCA: 29]  [Article Influence: 9.7]  [Reference Citation Analysis (0)]
57.  Yi B, Huang G, Zhou ZG. Current and Future Clinical Applications of Zinc Transporter-8 in Type 1 Diabetes Mellitus. Chin Med J (Engl). 2015;128:2387-2394.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 14]  [Cited by in RCA: 18]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
Footnotes

Peer review: Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Clinical neurology

Country of origin: India

Peer-review report’s classification

Scientific quality: Grade B, Grade C

Novelty: Grade C

Creativity or innovation: Grade C

Scientific significance: Grade D, Grade D

P-Reviewer: Jiang X, Assistant Professor, PhD, China; Tuem SR, PhD, Cameroon S-Editor: Liu H L-Editor: A P-Editor: Zhao YQ

Write to the Help Desk