Skip to main content
Medical Journal of the Islamic Republic of Iran logoLink to Medical Journal of the Islamic Republic of Iran
. 2020 Apr 1;34:28. doi: 10.34171/mjiri.34.28

Molecular biomarkers in diabetes mellitus (DM)

Seyed Mohsen Aghaei Zarch 1, Masoud Dehghan Tezerjani 2, Mehrdad Talebi 1, Mohammad Yahya Vahidi Mehrjardi 3,*
PMCID: PMC7320976  PMID: 32617267

Abstract

Background: Diabetes mellitus (DM) is a growing epidemic metabolic syndrome, which affects near 5.6% of the world’s population. Almost 12% of health expenditure is dedicated to this disorder. Discovering and developing biomarkers as a practical guideline with high specificity and sensitivity for the diagnosis, prognosis, and clinical management of DM is one of the subjects of great interest among DM researchers due to the long-lasting asymptomatic clinical manifestation of DM. In this study, we described a recently identified molecular biomarker involved in DM.

Methods: This review study was done at the Diabetes Research Center affiliated to Shahid Sadoughi University of Medical Sciences. PubMed, Scopus, Google Scholar, and Web of Science were searched using the following keywords: "diabetes mellitus", "biomarker", "microRNA", "diagnostic tool" and "clinical manifestation."

Results: A total of 107 studies were finally included in this review. After evaluating numerous articles, including original, metaanalysis, and review studies, we focused on molecular biomarkers involved in DM diagnosis and management.

Conclusion: Increasing interest in biomarkers associated with DM goes back to its role in decreasing diabetes-related morbidity and mortality. This review focused on major molecular biomarkers such as proteomic and microRNA (miRNAs) as novel and interesting DM biomarkers that can help achieve timely diagnosis of DM.

Keywords: Diabetes Mellitus, Biomarkers, MicroRNAs


↑ What is “already known” in this topic:

Diabetes mellitus (DM) is a progressive condition and can get worse without treatment. DM, especially T2DM, is predictable and preventable. Therefore, effective methods for diagnosing prediabetes are required to reduce the risk of its progression to diabetes. The current biomarkers such as glycated hemoglobin (HbA1c) have moderate sensitivity and specificity and may be inaccurate in certain clinical conditions. Therefore, combining several biomarkers may identify those at high risk for developing diabetes more accurately.

→ What this article adds:

Recent studies have suggested that the expression of biomolecules, including microRNAs, proteins, and metabolites, specifically change during the progression of DM, and their signature changes with DM and its related complications. MicroRNAs (miRNAs) are autocrine and endocrine regulators of gene expression and because of their stability in body fluid, they can be used as noninvasive prediction tools in DM. In this study, our aim was to summarize biomolecules that could be potential biomarkers in DM.

Introduction

Diabetes mellitus (DM), as a progressive metabolic disorder, is a global epidemic that influences more than 350 million people around the world and has been identified as a contributing factor for morbidity and mortality. Type 2 (T2DM) and Type 1 diabetes mellitus (T1DM) are 2 major forms of DM. T1DM is characterized by self-destructive pancreatic beta cells and accounts for 5%-8% of all cases of DM. However, T2DM is the most common form of DM and occurs when the target tissue loses insulin sensitivity, including the liver, skeletal muscles, and adipose tissues (1). Among the diabetes complications, microvascular complications such as nephropathy, retinopathy, and cardiomy opathy are common in patients with T1DM and T2DM. Diabetic nephropathy (DN) as a major cause of renal failure is observed in 30% of T1DM patients and approximately 20% to 30% of T2DM individuals (2). Diabetic cardiomyopathy (DC) is characterized by cardiac remodeling and diastolic dysfunction. In addition, clinical manifestation of coronary artery and hypertension are not observed in individuals who are suffering from DM (3). Diabetic retinopathy (DR) is one of the most identified microvascular complications of diabetes mellitus (4). Approximately, one-third of diabetic individuals are suffering from diabetic retinopathy; also, proliferative diabetic retinopathy and diabetic macular edema (DME), which are vision threatening, are developed in more than 10% of the patients (5).

A biomarker mainly refers to a characteristic that is proposed as a sign of pathogenic processes, normal biological procedures, and pharmacological responses to a therapeutic involvement (6). Biomarkers are divided into 2 categories: traditional and novel biomarkers. The former such as HbA1c are those well defined in research and clinical medicine, but the latter such as miRNA and some proteomic markers are not broadly used in clinical medicine(7).

In this review, we focused on diagnostic molecular biomarkers such as proteomics and microRNAs involved in T1DM and T2DM to pinpoint new areas for further experimental studies (Tables 1 and 2).

Table 1. Better characterized proteomic biomarkers involved in T1DM and T2DM .

Proteomic biomarker Traditional Novel T1DM T2DM Reference
GAD * * 8
IGRP * * 10, 26
IA-2 * * 27
ZnT8 * * 10
Insulin * * 1
CCL3 * * 18
DOC3B * * 20
Creatinine * * 1
IL-6 * * 28, 29
CRP * * 29
sOB-R * * 30
Adipokines * * 1, 31
c-reactive protein (CRP( * * 1, 32
Ferritin * * 1, 33, 34
Incretins * * 1, 35
Cathepsin D * * 36, 37
NCAM.L1 * * 36
Alpha1-antitrypsin * * 36, 38
Endocan * * 36, 39

Table 2. The reported miRNAs in the T2DM and T1DM and its complications .

Type of miRNA Biological importance Source Nephropathy Retinopathy Cardiovascular disease Reference

T2DM
miR-21 Promoting fibroblast Migration and targeting SMAD7 and PTEN Serum * * * 57, 82-86
miR-29 Acting as a tumor suppressor and also engaging in apoptosis Serum/urine * * * 57, 87-90
miR-126 Playing an important role in efferocytosis by targeting ADAM-9 Plasma/urine * * * 91-94
miR-200 Engaging in fibrogenesis through TGF-β signaling Epithelial cells/ * * * 95-99
miR-375 Targeting 3’- phosphoinositide – dependent protein kinase – 1 and regulating Glucose – induced biological response in Serum/blood Need more experimental studies * * 100, 101
miR-7 MiR-7 plays a critical role in the proliferation of adult beta cells by targeting several components of mTOR signaling pathway. Serum Need more experimental studies * * 70, 102-104
miR-3666 By targeting adiponectin play key role in insulin secretion Serum/peripheral blood Need more experimental studies Need more experimental studies Need more experimental studies 73
miR-135a By suppressing Rock‐1 involved in insulin signaling pathway Serum/plasma + Need more experimental studies Need more experimental studies 74

T1DM
miR-326 mediated TH-17 differentiation through translational inhibition of Ets-1 Blood * Need more experimental studies Need more experimental studies 105, 106
miR-146 By targeting IRAK1 and TRAF6 modulate inflammatory response PBMCs * * * 107-110

Methods

This narrative review study focused on molecular biomarkers with a close association with DM. A thorough literature search was done on Google, Google Scholar, and Pubmed databases using the following keywords: “diabetes mellitus”, “biomarker”, “microRNA”, “diagnostic tool”, and “clinical manifestation”. Next, after evaluating numerous articles, including original, meta-analysis, and review papers, we summarized recently reported biomarkers and their roles in the onset of DM clinical manifestation.

1. Traditional proteomic biomarkers involved in T1DM

1.1. Glutamic acid decarboxylase (GAD)

Glutamic acid decarboxylase (GAD) as an enzyme converts glutamate to gamma-aminobutyric acid (GABA). This enzyme employs pyridoxal phosphate (PLP) as a cofactor for its activity. In addition, 2 isoforms of GAD can be seen in mammals, which are encoded by 2 distinct genes known as GAD1 and GAD2, but only GAD2 is expressed in the pancreas. Patients who are suffering from T1DM produce autoantibodies against GAD1 and GAD2 (8). Abnormal expression levels of the aforementioned proteins can occur in patients with T1DM and can be used as a potential biomarker for T1DM detection.

1.2. Islet-specific glucose-6-phosphatase catalytic subunit-related protein (IGRP)

IGRP as a glycoprotein belongs to glucose-6-phosphatase (G6Pase) family and its expression is limited to the islet cells. G6Pase-β and G6Pase-α are well-known members of G6Pase family, among which G6Pase-β is ubiquitously expressed. Multiple helices are responsible for IGRP anchoring to endoplasmic reticulum (ER) membrane. IGRP is one of the critical factors in glycogenolysis and gluconeogenesis. Furthermore, the role of IGRP as a contributing factor in blood glucose homeostasis has also been recognized. The T1D susceptibility locus IDDM7 was mapped within the IGRP locus, which may implicate IGRP as a candidate gene in T1DM (9). According to the recent experiments in T1D, autoantibodies are produced against IGRP, so the expression levels of the autoantibodies can be used as a potential biomarker in T1D detection (10).

1.3. Tyrosine phosphatase-like protein IA-2

IA-2, with 979 residues, belongs to transmembrane protein tyrosine phosphatase family and is enzymatically inactive. It has an intracellular, transmembrane, and extracellular domains, with 379, 24, and 576 residues, respectively (11). According to the recent studies, IA-2 is an essential part of secretory granules in neuroendocrine cells (12). IA-2 gene is mapped to the long arm of chromosome 2 at position 35. Also, IA-2 gene spans over 20 Kb of genomic DNA and comprises 16 exons. Moreover, it is considered as a major autoantigen in T1D. Autoantibodies to IA-2 can be used as predictive biomarkers to identify risks of developing T1D, as they appear years before the onset of T1D clinical manifestation (13).

1.4. Cation efflux transporter ZnT8

Zinc transporter 8 (ZnT8) belongs to Cation diffusion facilitator (CDF) family of proteins and its expression is restricted to the pancreatic α- and β-cells and the kidneys (14). Zinc in pancreatic β-cells is transported by ZnT8 from the cytosol into the lumens of insulin granules (15). In addition, ZnT8 is one of the major self-antigens found in T1D patients (16). Hence, autoantibodies produced against this autoantigen can be used as a potential biomarker to distinguish between individuals with T1D and healthy individuals (10).

2.Novel proteomic biomarker involved in T1DM

2.1. CCL3

Chemokines are a large family of chemoattractant cytokines for leukocytes and their receptors belong to a family of specific G-protein-coupled 7 transmembrane domain receptors. CCL3, also known as macrophage inflammatory protein-1α (MIP-1α), is a CC chemokine characterized as inducers of inflammatory process in various inflammatory autoimmune diseases. An intensive investigation done by Shehade et al disclosed that anti-CCL3 Abs were positive in nearly 87% of T1DM individuals, so anti-CCL3 Abs can be used as a powerful biomarker in T1DM (17-18).

2.2. DOC2B

DOC2 family of proteins contains 3 isoforms: designated DOC2A, DOC2B, and DOC2C. DOC2B is a calcium sensor, which positively regulates SNARE-dependent fusion of insulin vesicles with membranes in pancreatic beta cells (19). An experimental investigation conducted by Aslamy et al in 2018 revealed that human DOC2B levels were reduced over 2-fold in platelets from new-onset T1D in humans, so DOC2B abundance may serve as an early biomarker of T1D (20).

3. Traditional proteomic biomarker in T2DM

3.1. CD59

CD59 protein inhibits membrane attack complex formation; therefore, it prevents cell lysis. CD59 expression level is high in pancreatic β-cell and it plays a critical role in insulin secretion. In addition, its inactivation occurs in people with diabetes due to glycation (21). In 2013, Ghosh et al found the expression level of glycated CD59 (GCD59) as a biomarker in T2DM and revealed that this biomarker was markedly increased in DM individuals. Also, there is a positive association between this biomarker and HbA1C. This biomarker with sensitivity and specificity of 93% and 100%, respectively, can be considered as a potential biomarker to distinguish individuals with diabetes from healthy individuals (22).

4. Novel proteomic biomarker in T2DM

4.1.Growth-differentiation factor-15 (GDF-15)

GDF-15 belongs to TGF-β superfamily and plays a critical role in growth, differentiation, and inflammatory response (23). GDF-15 is highly expressed in macrophages, endothelial cells, and adipocyte; and its expression level markedly increases in individuals with insulin resistance and chronic kidney diseases (24). Serum GDF-15 expression levels increased in individuals with T2DM; therefore, GDF-15 as a powerful tool enables us to diagnose T2DM. In addition, the increased GDF-15 expression levels is linked with increased Ang-2 expression level in diabetic patients (25).

miRNAs are small molecules with 21 to 23 nucleotides in length that can bind to 3'-UTR region of the target molecule. MicroRNAs prevent translation by binding to their target molecules and affect approximately 30% of the coding genes (40). Furthermore, a large number of investigations have revealed that miRNAs dysregulation is linked with some clinical manifestations such as microvascular complications (nephropathy, retinopathy, and cardiomyopathy) involved in DM (Fig. 1) (41). Abundance of miRNAs in human biofluids, including urine, serum, saliva, tears, plasma, colostrum, cerebrospinal, and seminal fluids make them a valuable biomarker for numerous disease such as DM (42). In this review, we provided some better characterized miRNAs involved in T1DM and T2DM and their microvascular complications.

Fig. 1.

Fig. 1

Major miRNAs engaged in diabetes mellitus microvascular complications

5. Major microRNAs involved in T2DM

5.1. miR-375

miR-375 is located on human chromosome 2 in an intergenic region between the CRYBA2 and CCDC108 genes (43). miR-375 is considered as an essential miRNA for normal glucose homeostasis, β cell proliferation, and β and α cells turnover (44). Moreover, it has been identified as a pancreatic islet cell specific miRNA that targets myotrophin mRNA. Myotrophin participates actively in the fusion of secretion granules with cell membrane; thus, miR-375 can independently inhibit glucose-induced insulin secretion (45). Also, serum expression level of miR-375 is elevated due to chronic hyperglycemia and β cell death, so miR-375 expression level is suitable for predicting β cell death (46). Furthermore, miR-375 targets PDK1 in porcine pancreatic stem cells (PSCs) and if the expression level of miR-375 increases, the inhibition of PDK1-AKT signaling cascade will occur. Therefore, pancreatic stem cells (PSCs) do not differentiate into islet-like cells (47). Recent investigations have shown that miR-375 as a contributing factor plays an important role in 3T3-L1 adipocyte differentiation via ERK-PPARγ2-ap2 signaling pathway (48). An experimental study by Karolina et al in 2012 revealed that miR-375 expression levels were increased in T2DM individuals compared to healthy controls (49).

5.2.miR-200

miR-200 family consists of 5 members whose transcripts can be seen as 2 separate polycistronic pri-miRNAs. miR200a/b and miR-429 are located in one cluster on chromosome 1, while miR-200c and miR-141 are part of another cluster on chromosome 12 (50). DM is characterized by Beta cell apoptosis. Thioredoxin-interacting protein (TXNIP) as a cellular redox regulator and a proapoptotic factor is the most upregulated gene in human pancreatic islets in response to glucose. TXNIP plays a critical role in apoptosis by inducing miR-200b. Consequently, miR-200b targets Zeb1 and blocks its activity, which results in β cell apoptosis (51). miR-200 is one of the crucial miRNAs in insulin signaling pathway that targets FOG2. miR-200 prevents disturbances in insulin signaling pathway (52). Furthermore, the loss of miR-200 transcripts promotes survival of β cell by downregulating Xiap, which is a potent inhibitor of caspase activation. As a result, human β cells can be protected against apoptosis by overexpression of Xiap (53). Therefore, miR-200 family expression alteration may be associated with T2DM (54).

5.3.miR-126

miR-126, an intronic product of an intron of the Egfl7 gene, is located on 9q34 (55). Endothelial cells are rich in miR-126, which is one of the several contributing factors in vascular integrity, wound healing, and angiogenesis (56). In addition, miR-126 plays a critical role in efferocytosis by targeting ADAM-9.Liu et al (2014) analyzed serum miR-126 levels of diabetic's patients, prediabetics, and nondiabetic individuals as controls and found that miR-126 was significantly downregulated in diabetic patients compared with prediabetics. Their results revealed that the expression levels of miR-126 in nondiabetic controls were higher than 2 former groups. Therefore, the expression levels of miR-126 may be used as a potential distinguishing biomarker. With respect to treatment, miR-126 expression levels can also be used as a biomarker; eg, miR-126 alteration triggers T2DM clinical manifestation. Therefore, an individual with downregulated miR-126 may get diabetes within 2 years (57). Therefore, miR-126 expression levels can be applied for early T2DM diagnosis (58).

5.4.MiR-21

miR-21 is a type of miRNA which is crucial in multiple biological processes such as proliferation, development, and oncology (59). Its gene was mapped to 17q23.2, which is located on the downstream of the the gene encoding vacuole membrane protein 1 (VMP1) (60). By the analysis conducted in the promoter region of miR-21 gene, numerous binding sites for transcription factors such as SRF, activation protein1 (AP1), nuclear factor1 (NF1), signal transducer, and activator of transcription3 (STAT3), C/EBP-α, and Ets/PU-1 were identified (61). The human miR-21 promoter retains all of these elements, and their high conservation among vertebrates suggests that highly conserved transcriptional regulatory mechanisms operate on the promoter (62). It was also disclosed that TGF-β1 can increase miR-21 expression levels during renal fibrosis through a Smad3-dependent mechanism (63). According to a study done by Zampetaki and et al in 2008, it was revealed that miR-21 expression levels were downregulated in plasma of T2DM individuals than controls (64).

5.5.miR-29

The miR-29 family, with 4 mature members, miR-29a, miR-29b1, miR-29b2, and miR-29c, are encoded by 2 gene clusters. These miR-29s loci are found on 2 different chromosomes: miR-29b2/miR-29c on chromosome 1q32 and miR-29b1/miR-29a on chromosome 7q32. These miRNAs play an important role in the insulin signaling pathway by targeting these genes, including phosphoinositide 3-kinase (PI3K) regulatory subunit 1 (PIK3R1), insulin receptor substrate1 (IRS1), AKT2, and PI3K regulatory subunit 3 (PIK3R3) (65-66). Insulin-sensitive tissues are rich in miR-29 and elevated expression levels of miR-29 were found in rodent models of diabetes or obesity (67).

5.6.miR-7

Human and mouse pancreatic islet cells are rich in miR-7 (68). miR-7 is mapped to 3 different genomic loci: 9q21, 15q26, and 19q13. The products of these 3 loci can be changed into the same mature miR-7 with 23 nucleotides (69). miR-7 plays a critical role in the proliferation of adult beta cells by targeting several components of mTOR signaling pathway, including TORC1, eukaryotic translation initiation factor 4E (eIF4E), P70S6K, MnK1, and Mnk2 (70). mTOR is an evolutionary conserved serine/threonine protein kinase that exists in 2 distinct isoforms: TORC1 and TORC2. TORC2 has a regulatory role in the cascade of insulin signaling. Wang et al indicated that miR-7 expression levels are negatively linked with beta cell proliferation; therefore, anti miR-7 oligonucleotide can be considered as a useful therapeutic tool in DM (70). In addition, Shujun et al found that expression levels of miR-7 are a useful biomarker for T2DM detection because its expression level is upregulated in T2DM with or without microvascular complications (71).

5.7.miR-3666

MiR-3666 as an intronic product of FOXP2 gene is located on chromosome 7 (72). J. Tan et al indicated that miR-3666 plays key role in insulin secretion by targeting adiponectin in pancreatic β-cell. They showed that transfection of miR-3666 to human pancreatic β-cell line is associated with inhibition of β-cell proliferation and inducing β-cell apoptosis. Moreover, they found that miR-3666 expression levels were increased in peripheral blood of T2DM patients but were decreased in serum samples. These results highlight the crucial role of miR-3666 in T2DM pathophysiology (73).

5.5.miR-135a

MiR-135a precursor gene (pre-miR-135a) is located within the chromosome 3 (74). Recently, it was identified that Rock-1 regulates insulin action via IRS-1 phosphorylation. Honardoost et al in a luciferase report assay identified Rock-1 as a direct target of miR-135a. Furthermore, transfection studies in C2C12 and L6 myoblast cell lines found a significantly lower insulin-resistence phenotype (75). In addition, increased expression of miR-135a in the plasma sample of newly diagnosed T2DM patients has recently been reported (76). These results suggest miR-135a as a desirable T2DM biomarker.

6.Major miRNAs involved in T1DM

6.1. MiR-326

MiR-326 precursor gene was assigned to the chromosome 11 in the intron 1 of the beta-arrestin gene (Arrb1) (77). Ets-1 is considered as an essential transcription factor for the development of natural killer (NK (cells. Also, Ets-1 has been identified as a negative regulator of TH-17 differentiation (78). An experimental study done by DU found that miR-326 mediated TH-17 differentiation by direct targeting of Ets-1 messenger RNA (79).In 2011, Sebastiani et al revealed that miR-326 expression levels were upregulated in T1DM and could be used as a powerful tool for detecting T1DM (77).

6.2. MiR-146

Two distinct forms of human miR-146 have been identified:miR-146 on chromosome 5q33 and miR-146b on chromosome 10q24 (80). An experimental study done by YANG et al in 2015 revealed that miR-146 expression levels were downregulated in the peripheral blood mononuclear cells (PBMC( of newly diagnosed T1DM individuals (81). Hence, miR-146 expression levels can be used as a valuable biomarker in T1DM.

Conclusion

DM is a metabolic disorder and the number of people suffering from this syndrome is rising very fast around the world, leading to adverse health and socioeconomic impacts. The long asymptomatic period of DM provides many opportunities for disease prevention and intervention (111). Many studies have shown that the diagnosis of early-onset diabetes (eg, prediabetes) plays an important role in preventing its complications. Identification of new biomarkers can contribute to better understanding of pathogenesis events involved in DM and can be a powerful to detect DM in early stages. Among various biomarkers, miRNAs have been emerged as interesting tools for detecting DM. These molecules play a critical role in various cellular pathways involved in DM pathogenesis. Recent intensive studies confirmed that miRNAs may be a promising biomarker in identifying patients with DM.

Conflict of Interests

The authors declare that they have no competing interests.

Cite this article as: Aghaei Zarch SM, Dehghan Tezerjani M, Talebi M, Vahidi Mehrjardi MY. Molecular biomarkers in diabetes mellitus (DM). Med J Islam Repub Iran. 2020 (1 Apr);34:28. https://doi.org/10.34171/mjiri.34.28

References

  • 1.Guay C, Regazzi R. Circulating microRNAs as novel biomarkers for diabetes mellitus. Nat Rev Endocrinol. 2013;9(9):513. doi: 10.1038/nrendo.2013.86. [DOI] [PubMed] [Google Scholar]
  • 2.Behnam-Rassouli M, Ghayour M, Ghayour N. Microvascular complications of diabetes. J Biol Sci. 2010;10(411):23. [Google Scholar]
  • 3.León LE, Rani S, Fernandez M, Larico M, Calligaris SD. Subclinical detection of diabetic cardiomyopathy with microRNAs: challenges and perspectives. J Diabetes Res. 2015;2016 doi: 10.1155/2016/6143129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kaštelan S, Tomić M, Gverović Antunica A, Salopek Rabatić J, Ljubić S. Inflammation and pharmacological treatment in diabetic retinopathy. Mediat Inflamm. 2013;2013 doi: 10.1155/2013/213130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Yau JW, Rogers SL, Kawasaki R, Lamourex EL, Kowalski JW, Bek T. et al. Global prevalence and major risk factors of diabetic retinopathy. Diabetes care. 2012;35(3):556–564. doi: 10.2337/dc11-1909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Velly AM, Mohit S, Schipper HM, Gornitsky M. Biomarkers in Epidemiologic Research: Definition, Classification, and Implication. J Orofac Pain: Springer; 2017. 135-139 [Google Scholar]
  • 7.Jenkins AJ, Joglekar MV, Hardikar AA, Keech AC, O'Neal DN, Januszewski AS. Biomarkers in diabetic retinopathy. Rev Diabet Stud. 2015;12(1-2):159. doi: 10.1900/RDS.2015.12.159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Miao D, Steck AK, Zhang L, Guyer KM, Jiang L, Armstrong T. et al. Electrochemiluminescence assays for insulin and glutamic acid decarboxylase autoantibodies improve prediction of type 1 diabetes risk. Diabetes Technol The. 2015;17(2):119–127. doi: 10.1089/dia.2014.0186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Dehghan Tezerjani M, Vahidi Mehrjardi MY, Kalantar SM, Dehghani M. Genetic Susceptibility to Transient and Permanent Neonatal Diabetes Mellitus. Int J Pediatr. 2015;3(6. 1):1073–1081. [Google Scholar]
  • 10.Roep BO, Peakman M. Antigen targets of type 1 diabetes autoimmunity. Csh Perspect Med. 2012;2(4):a007781. doi: 10.1101/cshperspect.a007781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Guerra LL, Faccinetti NI, Trabucchi A, Rovitto BD, Sabljic AV, Poskus E. et al. Novel prokaryotic expression of thioredoxin-fused insulinoma associated protein tyrosine phosphatase 2 (IA-2), its characterization and immunodiagnostic application. BMC Biotechnol. 2016;16(1):84. doi: 10.1186/s12896-016-0309-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Cai T, Notkins AL. Pathophysiologic changes in IA-2/IA-2β null mice are secondary to alterations in the secretion of hormones and neurotransmitters. Acta Diabetol. 2016;53(1):7–12. doi: 10.1007/s00592-015-0750-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Acevedo-Calado MJ, Pietropaolo SL, Morran MP, Schnell S, Vonberg AD, Verge CF. et al. Autoantibodies Directed to a Novel IA-2 Variant Protein Enhance Prediction of Type 1 Diabetes. Diabetes. 2019:db181351. doi: 10.2337/db18-1351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Yang J, Zhang Y, Cui X, Yao W, Yu X, Chen P. et al. Gene profile identifies zinc transporters differentially expressed in normal human organs and human pancreatic cancer Curr Mol. Med. 2013;13(3):401–409. [PMC free article] [PubMed] [Google Scholar]
  • 15.Chimienti F, Favier A, Seve M. ZnT-8, a pancreatic beta-cell-specific zinc transporter. Biometals. 2005;18(4):313–317. doi: 10.1007/s10534-005-3687-9. [DOI] [PubMed] [Google Scholar]
  • 16.Huang Q, Merriman C, Zhang H, Fu D. Coupling of insulin secretion and display of a granule-resident zinc transporter ZnT8 on the surface of pancreatic beta cells. J BIOL CHEM. 2017;292(10):4034–4043. doi: 10.1074/jbc.M116.772152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Islam SA, Medoff BD, Luster AD. Chemokine and chemokine receptor analysis. Manual of Molecular and Clinical Laboratory Immunology, Eighth Edition: American Society of Microbiology; 2016. 343-356 [Google Scholar]
  • 18.Shehadeh N, Pollack S, Wildbaum G Yaniv Z, Shafat I, Makhoul R. et al. Selective autoantibody production against CCL3 is associated with human type 1 diabetes mellitus and serves as a novel biomarker for its diagnosis J. Immunol. 2009;182(12):8104–8109. doi: 10.4049/jimmunol.0803348. [DOI] [PubMed] [Google Scholar]
  • 19.Houy S, Groffen AJ, Ziomkiewicz I, Verhage M, Pinheiro PS, Sørensen JB. Doc2B acts as a calcium sensor for vesicle priming requiring synaptotagmin-1, Munc13-2 and SNAREs. Elife. 2017;6:e27000. doi: 10.7554/eLife.27000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Aslamy A, Oh E, Ahn M, Moin ASM, Chang M, Duncan M. et al. Exocytosis Protein DOC2B as a Biomarker of Type 1 Diabetes. J Clin Endocrinol Metab. 2018;103(5):1966–1976. doi: 10.1210/jc.2017-02492. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Rosberg R. Novel insights of intracellular complement in pancreatic β-cell physiology. 2017.
  • 22.Ghosh C, Banik GD, Maity A, Som S, Chakraborty A, Selvan C. et al. Oxygen-18 isotope of breath CO2 linking to erythrocytes carbonic anhydrase activity: a biomarker for pre-diabetes and type 2 diabetes Sci. Rep. 2015;5 doi: 10.1038/srep08137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Fang L, Li F, Gu C. GDF-15: A Multifunctional Modulator and Potential Therapeutic Target in Cancer Curr. Pharm. 2019;25(6):654–662. doi: 10.2174/1381612825666190402101143. [DOI] [PubMed] [Google Scholar]
  • 24.Adela R, Banerjee SK. GDF-15 as a target and biomarker for diabetes and cardiovascular diseases: a translational prospective. J Diabetes Res. 2015;2015 doi: 10.1155/2015/490842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Adela R, Mohammed SA, Kanwal A, Vishwakarma G, Chander Reddy PN, Banerjee SK. Elevated levels of GDF-15 is associated with increased angiotensin II in hypertensive patients with Type 2 diabetes Pers. Med. 2016;13(4):325–336. doi: 10.2217/pme-2016-0030. [DOI] [PubMed] [Google Scholar]
  • 26.Labaer J, Qiu J, Bian X, Schatz DA, Wasserfall CH, Atkinson MA. Type 1 Diabetes Biomarkers. Google Patents. 2016 [Google Scholar]
  • 27.Saeki K, Zhu M, Kubosaki A, Xie J, Lan MS, Notkins AL. Targeted disruption of the protein tyrosine phosphatase-like molecule IA-2 results in alterations in glucose tolerance tests and insulin secretion. Diabetes. 2002;51(6):1842–1850. doi: 10.2337/diabetes.51.6.1842. [DOI] [PubMed] [Google Scholar]
  • 28.Gomes KB. IL-6 and type 1 diabetes mellitus: T cell responses and increase in IL-6 receptor surface expression. Ann Transl Med. 2017;5(1) doi: 10.21037/atm.2016.12.74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Tangvarasittichai S, Pongthaisong S, Tangvarasittichai O. Tumor necrosis factor-Α, interleukin-6, C-reactive protein levels and insulin resistance associated with type 2 diabetes in abdominal obesity women. Indian J Clin Biochem. 2016;31(1):68–74. doi: 10.1007/s12291-015-0514-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Sun Q, van Dam RM, Meigs JB, Franco OH, Mantzoros CS, Hu FB. Leptin and soluble leptin receptor levels in plasma and risk of type 2 diabetes in US women: a prospective study. Diabetes. 2010;59(3):611–618. doi: 10.2337/db09-1343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Catalina MO-S, Redondo PC, Granados MP, Contonero C, Sanchez-Collado J, Albarran L. et al. New insights into adipokines as potential biomarkers for type-2 diabetes mellitus. Curr Med Chem. 2019 doi: 10.2174/0929867325666171205162248. [DOI] [PubMed] [Google Scholar]
  • 32.Parrinello CM, Lutsey PL, Ballantyne CM, Folsom AR, Pankow JS, Selvin E. Six-year change in high-sensitivity C-reactive protein and risk of diabetes, cardiovascular disease, and mortality. Am Heart J. 2015;170(2):380–389 e384. doi: 10.1016/j.ahj.2015.04.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Andrews M, Leiva E, Arredondo-Olguín M. Short repeats in the heme oxygenase 1 gene promoter is associated with increased levels of inflammation, ferritin and higher risk of type-2 diabetes mellitus. J Trace Elem Med Biol. 2016;37:25–30. doi: 10.1016/j.jtemb.2016.06.001. [DOI] [PubMed] [Google Scholar]
  • 34.Sharma D, Agrawal A, Meena S, Uradiya I. Correlation of Serum Ferritin with Insulin Resistance in Type 2 Diabetes Mellitus Patients and its Relationship with Components of Metabolic Syndrome. J Indian Acad Clin Med. 2018;19(2):97. [Google Scholar]
  • 35.Holst JJ, Vilsbøll T, Deacon CF. The incretin system and its role in type 2 diabetes mellitus. Mol Cell Endocrinol. 2009;297(1-2):127–136. doi: 10.1016/j.mce.2008.08.012. [DOI] [PubMed] [Google Scholar]
  • 36.Belongie KJ, Ferrannini E, Johnson K, Andrade-Gordon P, Hansen MK, Petrie JR. Identification of novel biomarkers to monitor β-cell function and enable early detection of type 2 diabetes risk. PloS one. 2017;12(8):e0182932. doi: 10.1371/journal.pone.0182932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Reddy S, Amutha A, Rajalakshmi R. et al. Association of increased levels of MCP-1 and cathepsin-D in young onset type 2 diabetes patients (T2DM-Y) with severity of diabetic retinopathy. J Diabetes Complications. 2017;31(5):804–809. doi: 10.1016/j.jdiacomp.2017.02.017. [DOI] [PubMed] [Google Scholar]
  • 38.Sandström C, Ohlsson B, Melander O, Westin U, Mahadeva R, Janciauskiene S. An association between Type 2 diabetes and α1‐antitrypsin deficiency. Diabet Med. 2008;25(11):1370–1373. doi: 10.1111/j.1464-5491.2008.02584.x. [DOI] [PubMed] [Google Scholar]
  • 39.Bilir B, Ekiz Bilir B, Yilmaz I, Soysal Atile N, Yildirim T, Kara SP. et al. Association of apelin, endoglin and endocan with diabetic peripheral neuropathy in type 2 diabetic patients. Eur Rev Med Pharmacol Sci. 2016;20(5):892–898. [PubMed] [Google Scholar]
  • 40.Taylor DD, Gercel-Taylor C. MicroRNA signatures of tumor-derived exosomes as diagnostic biomarkers of ovarian cancer Gynecol. Oncol. 2008;110(1):13–21. doi: 10.1016/j.ygyno.2008.04.033. [DOI] [PubMed] [Google Scholar]
  • 41.Lai EC. Two decades of miRNA biology: lessons and challenges. RNA. 2015;21(4):675–677. doi: 10.1261/rna.051193.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Deiuliis J. MicroRNAs as regulators of metabolic disease: pathophysiologic significance and emerging role as biomarkers and therapeutics. Int J Obes. 2016;40(1):88. doi: 10.1038/ijo.2015.170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Chakraborty C, Doss CGP, Bandyopadhyay S, Agoramoorthy G. Influence of miRNA in insulin signaling pathway and insulin resistance: micro‐molecules with a major role in type‐2 diabetes. WIRES RNA. 2014;5(5):697–712. doi: 10.1002/wrna.1240. [DOI] [PubMed] [Google Scholar]
  • 44.Banerjee J, Nema V, Dhas Y, Mishra N. Role of MicroRNAs in type 2 diabetes and associated vascular complications. Biochimie. 2017 doi: 10.1016/j.biochi.2017.05.007. [DOI] [PubMed] [Google Scholar]
  • 45.Ghelani HS, Rachchh MA, Gokani RH. MicroRNAs as newer therapeutic targets: A big hope from a tiny player. J Pharmacol Pharmacother. 2012;3(3):217. doi: 10.4103/0976-500X.99416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Feng J, Xing W, Xie L. Regulatory roles of microRNAs in diabetes. Int J Mol Sci. 2016;17(10):1729. doi: 10.3390/ijms17101729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Hu S, Zhang M, Sun F, Ren L, He X, Hua J. et al. miR‐375 controls porcine pancreatic stem cell fate by targeting 3‐phosphoinositide–dependent protein kinase‐1 (Pdk1) Cell Prolif. 2016;49(3):395–406. doi: 10.1111/cpr.12263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ling HY, Wen GB, Feng SD, Tuo QH, Ou HS, Yao CH. et al. MicroRNA‐375 promotes 3T3‐L1 adipocyte differentiation through modulation of extracellular signal‐regulated kinase signalling. Clin Exp Pharmacol Physiol. 2011;38(4):239–246. doi: 10.1111/j.1440-1681.2011.05493.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Karolina DS, Tavintharan S, Armugam A, Sepramaniam S, Pek SLT, Wong MTK. et al. Circulating miRNA profiles in patients with metabolic syndrome. J Clin Endocrinol Metab. 2012;97(12):E2271–E2276. doi: 10.1210/jc.2012-1996. [DOI] [PubMed] [Google Scholar]
  • 50.Magenta A, Ciarapica R, Capogrossi MC. The Emerging Role of miR-200 Family in Cardiovascular Diseases. Circ Res. 2017;120(9):1399–1402. doi: 10.1161/CIRCRESAHA.116.310274. [DOI] [PubMed] [Google Scholar]
  • 51.Filios SR, Xu G, Chen J, Hong K, Jing G, Shalev A. MicroRNA-200 is induced by thioredoxin-interacting protein and regulates Zeb1 protein signaling and beta cell apoptosis. J Biol Chem. 2014;289(52):36275–36283. doi: 10.1074/jbc.M114.592360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Dou L, Zhao T, Wang L, Huang X, Jiao J, Gao D. et al. miR-200s contribute to interleukin-6 (IL-6)-induced insulin resistance in hepatocytes. J Biol Chem. 2013;288(31):22596–22606. doi: 10.1074/jbc.M112.423145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Zhu W, Xu H, Zhu D, Zhi H, Wang T, Wang J. et al. miR-200bc/429 cluster modulates multidrug resistance of human cancer cell lines by targeting BCL2 and XIAP. Cancer Chemother Pharmacol. 2012;69(3):723–731. doi: 10.1007/s00280-011-1752-3. [DOI] [PubMed] [Google Scholar]
  • 54.Belgardt B-F, Ahmed K, Spranger M, Latreille M, Denzler R, Kondratiuk N. et al. The microRNA-200 family regulates pancreatic beta cell survival in type 2 diabetes. Nat Med. 2015;21(6):619. doi: 10.1038/nm.3862. [DOI] [PubMed] [Google Scholar]
  • 55.Musiyenko A, Bitko V, Barik S. Ectopic expression of miR-126*, an intronic product of the vascular endothelial EGF-like 7 gene, regulates prostein translation and invasiveness of prostate cancer LNCaP cells. J Mol Med. 2008;86(3):313–322. doi: 10.1007/s00109-007-0296-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Fish JE, Santoro MM, Morton SU, Yu S, Yeh RF, Wythe JD. et al. miR-126 regulates angiogenic signaling and vascular integrity. Dev Cell. 2008;15(2):272–284. doi: 10.1016/j.devcel.2008.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Qing S, Yuan S, Yun C, Hui H, Mao P, Wen F. et al. Serum miRNA biomarkers serve as a fingerprint for proliferative diabetic retinopathy. Cell Physiol Biochem. 2014;34(5):1733–1740. doi: 10.1159/000366374. [DOI] [PubMed] [Google Scholar]
  • 58.Yan S, Wang T, Huang S, Di Y, Huang Y, Liu X. et al. Differential expression of microRNAs in plasma of patients with prediabetes and newly diagnosed type 2 diabetes. Acta Diabetol. 2016;53(5):693–702. doi: 10.1007/s00592-016-0837-1. [DOI] [PubMed] [Google Scholar]
  • 59.Talotta F, Cimmino A, Matarazzo M, Casalino L, D'Esposito M, Di Lauro R. et al. An autoregulatory loop mediated by miR-21 and PDCD4 controls the AP-1 activity in RAS transformation. Oncogene. 2009;28(1):73. doi: 10.1038/onc.2008.370. [DOI] [PubMed] [Google Scholar]
  • 60.Sekar D, Islam VIH, Thirugnanasambantham K, Saravanan S. Relevance of miR-21 in HIV and non-HIV-related lymphomas. Tumour Biol. 2014;35(9):8387–8393. doi: 10.1007/s13277-014-2068-9. [DOI] [PubMed] [Google Scholar]
  • 61.Fujita S, Ito T, Mizutani T, Minoguchi S, Yamamichi N, Sakurai K. et al. miR-21 Gene expression triggered by AP-1 is sustained through a double-negative feedback mechanism J Mol. Biol. 2008;378(3):492–504. doi: 10.1016/j.jmb.2008.03.015. [DOI] [PubMed] [Google Scholar]
  • 62.Krichevsky AM, Gabriely G. miR‐21: a small multi‐faceted RNA. J Cell Mol Med. 2009;13(1):39–53. doi: 10.1111/j.1582-4934.2008.00556.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Loboda A, Sobczak M, Jozkowicz A, Dulak J. TGF-β1/Smads and miR-21 in renal fibrosis and inflammation. Mediators Inflamm. 2016;2016 doi: 10.1155/2016/8319283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Pescador N, Pérez-Barba M, Ibarra JM, Corbatón A, Martínez-Larrad MT, Serrano-Ríos M. Serum circulating microRNA profiling for identification of potential type 2 diabetes and obesity biomarkers. PloS One. 2013;8(10):e77251. doi: 10.1371/journal.pone.0077251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Massart J, Sjögren RJ, Lundell LS, Mudry JM, Franck N, O’Gorman DJ. et al. Altered miRNA-29 Expression in Type 2 Diabetes Influences Glucose and Lipid Metabolism in Skeletal Muscle. Diabetes. 2017:db170141. doi: 10.2337/db17-0141. [DOI] [PubMed] [Google Scholar]
  • 66.Mazzoccoli L, Robaina MC, Apa AG, Bonamino M, Pinto LW, Queiroga E. et al. MiR-29 silencing modulates the expression of target genes related to proliferation, apoptosis and methylation in Burkitt lymphoma cells. J Cancer Res Clin Oncol. 2018:1–15. doi: 10.1007/s00432-017-2575-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.He A, Zhu L, Gupta N, Chang Y, Fang F. Overexpression of micro ribonucleic acid 29, highly up-regulated in diabetic rats, leads to insulin resistance in 3T3-L1 adipocytes. Mol Endocrinol. 2007;21(11):2785–2794. doi: 10.1210/me.2007-0167. [DOI] [PubMed] [Google Scholar]
  • 68.Correa-Medina M, Bravo-Egana V, Rosero S, Ricordi C, Edlund H, Diez J. et al. MicroRNA miR-7 is preferentially expressed in endocrine cells of the developing and adult human pancreas. Gene Expr Patterns. 2009;9(4):193–199. doi: 10.1016/j.gep.2008.12.003. [DOI] [PubMed] [Google Scholar]
  • 69.Kalinowski FC, Brown RA, Ganda C, Giles KM, Epis MR, Horsham J. et al. microRNA-7: a tumor suppressor miRNA with therapeutic potential. Int J Biochem Cell Biol. 2014;54:312–317. doi: 10.1016/j.biocel.2014.05.040. [DOI] [PubMed] [Google Scholar]
  • 70.Wang Y, Liu J, Liu C, Naji A, Stoffers DA. MicroRNA-7 regulates the mTOR pathway and proliferation in adult pancreatic β-cells. Diabetes. 2013;62(3):887–895. doi: 10.2337/db12-0451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Wan S, Wang J, Wang J, Wu J, Song J, Zhang CY. et al. Increased serum miR-7 is a promising biomarker for type 2 diabetes mellitus and its microvascular complications. Diabetes Res Clin Pract. 2017;? doi: 10.1016/j.diabres.2017.06.005. [DOI] [PubMed] [Google Scholar]
  • 72.Mostafa S, Murad W, Mohammad E, Islam A. Intronic Mirna Mir-3666 Modulates its Host Gene FOXP2 Functions in Neurodevelopment and May Contribute to Pathogenesis of Neurological Disorders Schizophrenia and Autism. J Appl Biotechnol Bioeng. 2017;2:1–17. [Google Scholar]
  • 73.Tan J, Tong A, Xu Y. Pancreatic β-cell function is inhibited by miR-3666 in type 2 diabetes mellitus by targeting adiponectin. Braz J Med Biol Res. 2019;52(6) doi: 10.1590/1414-431X20198344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.He F, Peng F, Xia X, Zhao C, Luo Q, Guan W. et al. MiR-135a promotes renal fibrosis in diabetic nephropathy by regulating TRPC1. Diabetologia. 2014;57(8):1726–1736. doi: 10.1007/s00125-014-3282-0. [DOI] [PubMed] [Google Scholar]
  • 75.Honardoost M, Keramati F, Arefian E, Mohammadi Yeganeh S, Soleimani M. Network of three specific microRNAs influence type 2 diabetes through inducing insulin resistance in muscle cell lines. J Cell Biochem. 2019;120(2):1532–1538. doi: 10.1002/jcb.27381. [DOI] [PubMed] [Google Scholar]
  • 76.Sarookhani MR, Honardoost M, Foroughi F. Plasma miR-135a; a potential biomarker for diagnosis of new type 2 diabetes (T2DM) Bali Med J. 2018 [Google Scholar]
  • 77.Sebastiani G, Grieco FA, Spagnuolo I, Galleri L, Cataldo D, Dotta F. Increased expression of microRNA miR‐326 in type 1 diabetic patients with ongoing islet autoimmunity. Diabetes Metab Res Rev. 2011;27(8):862–866. doi: 10.1002/dmrr.1262. [DOI] [PubMed] [Google Scholar]
  • 78.Murphy KM, Ouyang W, Farrar JD, Yang J, Ranganath S, Asnagli H. et al. Signaling and transcription in T helper development. Annu Rev Immunol. 2000;18(1):451–494. doi: 10.1146/annurev.immunol.18.1.451. [DOI] [PubMed] [Google Scholar]
  • 79.Du C, Liu C, Kang J, Zhao G, Ye Z, Huang S. et al. MicroRNA miR-326 regulates T H-17 differentiation and is associated with the pathogenesis of multiple sclerosis. Nat Immunol. 2009;10(12):1252. doi: 10.1038/ni.1798. [DOI] [PubMed] [Google Scholar]
  • 80.Jazdzewski K, Murray EL, Franssila K, Jarzab B, Schoenberg DR, de la Chapelle A. Common SNP in pre-miR-146a decreases mature miR expression and predisposes to papillary thyroid carcinoma Proc Natl Acad. Sci. 2008;105(20):7269–7274. doi: 10.1073/pnas.0802682105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Yang M, Ye L, Wang B, Gao J, Liu R, Hong J. et al. Decreased miR‐146 expression in peripheral blood mononuclear cells is correlated with ongoing islet autoimmunity in type 1 diabetes patients. J Diabetes. 2015;7(2):158–165. doi: 10.1111/1753-0407.12163. [DOI] [PubMed] [Google Scholar]
  • 82.Bang C, Batkai S, Dangwal S, Gupta SK, Foinquinos A, Holzmann A. et al. Cardiac fibroblast–derived microRNA passenger strand-enriched exosomes mediate cardiomyocyte hypertrophy. J Clin Invest. 2014;124(5):2136. doi: 10.1172/JCI70577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Condorelli G, Latronico MV, Dorn GW. microRNAs in heart disease: putative novel therapeutic targets? Eur Heart J. 2010;31(6):649–658. doi: 10.1093/eurheartj/ehp573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.McClelland AD, Herman-Edelstein M, Komers R, Jha JC, Winbanks CE, Hagiwara S. et al. miR-21 promotes renal fibrosis in diabetic nephropathy by targeting PTEN and SMAD7. Clin Sci. 2015;129(12):1237–1249. doi: 10.1042/CS20150427. [DOI] [PubMed] [Google Scholar]
  • 85.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(6):457. doi: 10.7150/ijms.15548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Dai B, Li H, Fan J, Zhao Y, Yin Z, Nie X. et al. MiR-21 protected against diabetic cardiomyopathy induced diastolic dysfunction by targeting gelsolin. Cardiovasc Diabetol. 2018;17(1):123. doi: 10.1186/s12933-018-0767-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Van Rooij E, Sutherland LB, Thatcher JE, DiMaio JM, Naseem RH, Marshall WS. et al. Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis Proc Natl Acad. Sci. 2008;105(35):13027–13032. doi: 10.1073/pnas.0805038105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Beltrami C, Simpson K, Jesky M, Wonnacott A, Carrington C, Holmans P. et al. Association of elevated urinary miR-126, miR-155, and miR-29b with diabetic kidney disease. Am J Pathol. 2018;188(9):1982–1992. doi: 10.1016/j.ajpath.2018.06.006. [DOI] [PubMed] [Google Scholar]
  • 89.Lin X, Zhou X, Liu D, Yun L, Zhang L, Chen X. et al. MicroRNA-29 regulates high-glucose-induced apoptosis in human retinal pigment epithelial cells through PTEN. In Vitro Cell Dev Biol Anim. 2016;52(4):419–426. doi: 10.1007/s11626-015-9990-z. [DOI] [PubMed] [Google Scholar]
  • 90.Ghosh N, Katare R. Molecular mechanism of diabetic cardiomyopathy and modulation of microRNA function by synthetic oligonucleotides. Cardiovasc Diabetol. 2018;17(1):43. doi: 10.1186/s12933-018-0684-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Zhang T, Li L, Shang Q, Lv C, Wang C, Su B. Circulating miR-126 is a potential biomarker to predict the onset of type 2 diabetes mellitus in susceptible individuals. Biochem Biophys Res Commun. 2015;463(1):60–63. doi: 10.1016/j.bbrc.2015.05.017. [DOI] [PubMed] [Google Scholar]
  • 92.Park S, Moon S, Lee K, Park IB, Lee DH, Nam S. Urinary and blood MicroRNA-126 and-770 are potential noninvasive biomarker candidates for diabetic nephropathy: a meta-analysis. Cell Physiol Biochem. 2018;46(4):1331–1340. doi: 10.1159/000489148. [DOI] [PubMed] [Google Scholar]
  • 93.Qin LL, An MX, Liu YL, Xu HC, Lu ZQ. MicroRNA-126: a promising novel biomarker in peripheral blood for diabetic retinopathy. Int J Ophthalmol. 2017;10(4):530. doi: 10.18240/ijo.2017.04.05. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Babu SS, Thandavarayan RA, Joladarashi D, Joladarashi D, Jeyabal P, Krishnamurthy S. et al. MicroRNA-126 overexpression rescues diabetes-induced impairment in efferocytosis of apoptotic cardiomyocytes. Sci Rep. 2016;6:36207. doi: 10.1038/srep36207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Reddy MA, Jin W, Villeneuve L, Wang M, Lanting L, Todorov I. et al. Pro-inflammatory role of microrna-200 in vascular smooth muscle cells from diabetic mice. Arterioscler Thromb Vasc Biol. 2012;32(3):721–729. doi: 10.1161/ATVBAHA.111.241109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Natarajan R, Putta S, Kato M. MicroRNAs and diabetic complications. J Cardiovasc Transl Res. 2012;5(4):413–422. doi: 10.1007/s12265-012-9368-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Wang B, Koh P, Winbanks C, Coughlan MT, McClelland A, Watson A. et al. miR-200a prevents renal fibrogenesis through repression of TGF-β2 expression. Diabetes. 2011;60(1):280–287. doi: 10.2337/db10-0892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Li EH, Huang QZ, Li GC, Xiang ZY, Zhang X. Effects of miRNA-200b on the development of diabetic retinopathy by targeting VEGFA gene. Biosci Rep. 2017;37(2):BSR20160572. doi: 10.1042/BSR20160572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Feng B, Cao Y, Chen S, Chu X, Chu Y, Chakrabarti S. miR-200b mediates endothelial-to-mesenchymal transition in diabetic cardiomyopathy. Diabetes. 2016;65(3):768–779. doi: 10.2337/db15-1033. [DOI] [PubMed] [Google Scholar]
  • 100.Xiong F, Du X, Hu J, Li T, Du S, Wu Q. Altered retinal microRNA expression profiles in early diabetic retinopathy: an in silico analysis. Curr Eye Res. 2014;39(7):720–729. doi: 10.3109/02713683.2013.872280. [DOI] [PubMed] [Google Scholar]
  • 101.Quiat D, Olson EN. MicroRNAs in cardiovascular disease: from pathogenesis to prevention and treatment. J Clin Invest. 2013;123(1):11. doi: 10.1172/JCI62876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Garcia-Morales V, Friedrich J, Jorna LM, Campos-Toimil M, Hammes HP, Schmidt M. et al. The microRNA-7-mediated reduction in EPAC-1 contributes to vascular endothelial permeability and eNOS uncoupling in murine experimental retinopathy. Acta Diabetol. 2017;54(6):581–591. doi: 10.1007/s00592-017-0985-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Horsham JL, Ganda C, Kalinowski FC, Brown RA, Epis MR, Leedman PJ. MicroRNA-7: A miRNA with expanding roles in development and disease. Int J Biochem Cell Biol. 2015;69:215–224. doi: 10.1016/j.biocel.2015.11.001. [DOI] [PubMed] [Google Scholar]
  • 104.Xu Y, Zhu W, Sun Y, Wang Z, Yuan W, Du Z. Functional network analysis reveals versatile microRNAs in human heart. Cell Physiol Biochem. 2015;36(4):1628–1643. doi: 10.1159/000430324. [DOI] [PubMed] [Google Scholar]
  • 105.Yang M, Kan L, Zhu Y, Wu L, Bai S, Cha F. et al. The effect of Baicalein on the NF-κB/P65 expression in the peripheral blood of patients with diabetic nephropathy and in vitro. Biomedical Research. 2017;28(12) [Google Scholar]
  • 106.Bijkerk R, Duijs J, Khairoun M, Ter Horst CJH, Van der Pol P, Mallat MJ. et al. Circulating microRNAs associate with diabetic nephropathy and systemic microvascular damage and normalize after simultaneous pancreas–kidney transplantation. Am J Transplant. 2015;15(4):1081–1090. doi: 10.1111/ajt.13072. [DOI] [PubMed] [Google Scholar]
  • 107.Wang G, Gu Y, Xu N, Zhang M, Yang T. Decreased expression of miR-150, miR146a and miR424 in type 1 diabetic patients: association with ongoing islet autoimmunity. Biochem Biophys Res Commun. 2017 doi: 10.1016/j.bbrc.2017.06.196. [DOI] [PubMed] [Google Scholar]
  • 108.Huang Y, Liu Y, Li L, Su B, Yang L, Fan W. et al. Involvement of inflammation-related miR-155 and miR-146a in diabetic nephropathy: implications for glomerular endothelial injury. BMC Nephrol. 2014;15(1):142. doi: 10.1186/1471-2369-15-142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Zhuang P, Muraleedharan CK, Xu S. Intraocular delivery of miR-146 inhibits diabetes-induced retinal functional defects in diabetic rat model. Invest Ophthalmol Vis Sci. 2017;58(3):1646–1655. doi: 10.1167/iovs.16-21223. [DOI] [PubMed] [Google Scholar]
  • 110.Copier CU, León L, Fernández M, Contador D, Calligaris SD. Circulating miR-19b and miR-181b are potential biomarkers for diabetic cardiomyopathy. Sci Rep. 2017;7(1):13514. doi: 10.1038/s41598-017-13875-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Surampudi PN, John‐Kalarickal J, Fonseca VA. Emerging concepts in the pathophysiology of type 2 diabetes mellitus. MT Sinai J Med. 2009;76(3):216–226. doi: 10.1002/msj.20113. [DOI] [PubMed] [Google Scholar]

Articles from Medical Journal of the Islamic Republic of Iran are provided here courtesy of Iran University of Medical Sciences

RESOURCES