hsa_circ_0111707 Is Associated With Risk of Stress-Related Type 2 Diabetes via Sponging miR-144-3p

Yan, Yuxiang; Xiao, Han; Lu, Ya‐Ke; Sun, Yue; Wang, Shuo; Dong, Jing; Wu, Lijuan

doi:10.3389/fendo.2021.790591

Cited by 3 publications

(3 citation statements)

References 38 publications

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“…Depressive symptoms were associated with blunted and exaggerated cortisol responses to and recovery from stress, indicating the high risk of HPA axis dysregulation 46 . It was found that hsa_circ_0111707, mediated a negative correlation between scores of “demands at work” and “insecurity at work,” was associated with the risk of type 2 diabetes mellitus via sponging miR‐144‐3p 47 . According to the neuroplasticity hypothesis, glucocorticoids (GC) negatively affected neural development.…”

Section: Mechanismsmentioning

confidence: 99%

“… 46 It was found that hsa_circ_0111707, mediated a negative correlation between scores of “demands at work” and “insecurity at work,” was associated with the risk of type 2 diabetes mellitus via sponging miR‐144‐3p. 47 According to the neuroplasticity hypothesis, glucocorticoids (GC) negatively affected neural development. According to the neurogenesis hypothesis, GC negatively affected neural precursor cell proliferation.…”

Section: Mechanismsmentioning

confidence: 99%

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Neurological and metabolic related pathophysiologies and treatment of comorbid diabetes with depression

Li,

Yang,

Zhou

et al. 2023

CNS Neurosci Ther

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BackgroundThe comorbidity between diabetes mellitus and depression was revealed, and diabetes mellitus increased the prevalence of depressive disorder, which ranked 13th in the leading causes of disability‐adjusted life‐years. Insulin resistance, which is common in diabetes mellitus, has increased the risk of depressive symptoms in both humans and animals. However, the mechanisms behind the comorbidity are multi‐factorial and complicated. There is still no causal chain to explain the comorbidity exactly. Moreover, Selective serotonin reuptake inhibitors, insulin and metformin, which are recommended for treating diabetes mellitus‐induced depression, were found to be a risk factor in some complications of diabetes.AimsGiven these problems, many researchers made remarkable efforts to analyze diabetes complicating depression from different aspects, including insulin resistance, stress and Hypothalamic–Pituitary–Adrenal axis, neurological system, oxidative stress, and inflammation. Drug therapy, such as Hydrogen Sulfide, Cannabidiol, Ascorbic Acid and Hesperidin, are conducive to alleviating diabetes mellitus and depression. Here, we reviewed the exact pathophysiology underlying the comorbidity between depressive disorder and diabetes mellitus and drug therapy.MethodsThe review refers to the available literature in PubMed and Web of Science, searching critical terms related to diabetes mellitus, depression and drug therapy.ResultsIn this review, we found that brain structure and function, neurogenesis, brain‐derived neurotrophic factor and glucose and lipid metabolism were involved in the pathophysiology of the comorbidity. Obesity might lead to diabetes mellitus and depression through reduced adiponectin and increased leptin and resistin. In addition, drug therapy displayed in this review could expand the region of potential therapy.ConclusionsThe review summarizes the mechanisms underlying the comorbidity. It also overviews drug therapy with anti‐diabetic and anti‐depressant effects.

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Section: Mechanismsmentioning

confidence: 99%

Section: Mechanismsmentioning

confidence: 99%

Neurological and metabolic related pathophysiologies and treatment of comorbid diabetes with depression

Li,

Yang,

Zhou

et al. 2023

CNS Neurosci Ther

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“…CircHIPK3 and circ_0039480 are highly expressed in GDM and T2DM, respectively, and can be used as biomarkers for early diagnosis ( 124 , 125 ). Circ_0111707 was shown to increase the risk of stress-related T2DM by acting as a molecular sponge for miR-144-3p ( 126 ). Circ-Tulp4, which is downregulated in diabetic mouse islets, improves β-cell function by sponging miR-7222-3p and regulating the expression of cholesterol esterification-related genes, sterol O-acyltransferase 1 (SOAT1), and cyclin D1 signaling pathways to promote β-cell adaptation to lipotoxicity ( 127 ).…”

Section: Ncrnas In Diabetesmentioning

confidence: 99%

Non-coding RNAs in diabetes mellitus and diabetic cardiovascular disease

Wang

Jiang

et al. 2022

Front. Endocrinol.

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More than 10% of the world’s population already suffers from varying degrees of diabetes mellitus (DM), but there is still no cure for the disease. Cardiovascular disease (CVD) is one of the most common and dangerous of the many health complications that can be brought on by DM, and has become the leading cause of death in people with diabetes. While research on DM and associated CVD is advancing, the specific mechanisms of their development are still unclear. Given the threat of DM and CVD to humans, the search for new predictive markers and therapeutic ideas is imminent. Non-coding RNAs (ncRNAs) have been a popular subject of research in recent years. Although they do not encode proteins, they play an important role in living organisms, and they can cause disease when their expression is abnormal. Numerous studies have observed aberrant ncRNAs in patients with DM complications, suggesting that they may play an important role in the development of DM and CVD and could potentially act as biomarkers for diagnosis. There is additional evidence that treatment with existing drugs for DM, such as metformin, alters ncRNA expression levels, suggesting that regulation of ncRNA expression may be a key mechanism in future DM treatment. In this review, we assess the role of ncRNAs in the development of DM and CVD, as well as the evidence for ncRNAs as potential therapeutic targets, and make use of bioinformatics to analyze differential ncRNAs with potential functions in DM.

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The relation between CircRNA0056618 and type 2 diabetes mellitus and insulin resistance through miRNA-206/PTPn-1 pathway

Abdelgwad,

Rashed,

Helmy

et al. 2024

Egyptian Pharmaceutical Journal

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Background Diabetes mellitus (DM) is a well-known metabolic syndrome characterized by hyperglycemia produced by a defect in insulin synthesis, insulin action, or a combination of the two. Objective The aim of this work was to find out how circular RNA 0056618 (circRNA 0056618) interacts with miRNA-206 to control blood sugar levels in type-2 diabetes mellitus (T2DM), as well as to test the role of PTPN-1 gene expression and protein phosphatase-2 (PP2A), insulin receptor substrate (IRS) protein level in diabetes. Also, whether circRNA 0056618, miRNA-206, PTPN-1, IRS, and PP2A protein could be used as biomarkers for T2DM diagnosis and prognosis. Patients and methods This cross-sectional analytic study was carried out on 110 patients. Participants were divided into two equal groups: patients’ group (T2DM) and control group (normal participants). All participants were subjected to quantitative real-time PCR for assessed RNAs (circRNA 0056618, miRNA-206, and PTPn-1 gene expression), enzyme-linked immunosorbent assay technique for IRS, and PP2A protein levels. Statistical analysis used The Statistical Package for the Social Sciences (SPSS), version 28 was used to code and enter the data. All data will be presented as means and SDs. Correlations between quantitative variables will be done using Pearson correlation coefficient. Receiver operating characteristic (ROC) curve was constructed with area under the curve (AUC) analysis performed to detect the best cutoff value of significant parameters for detection of cases. P value will be considered significant less than 0.05. Results and conclusion There was a significant increase in circRNA 0056618 (P<0.001), PTPN-1 gene expression (P=0.002), and PP2A protein levels (P<0.001) and a significant decrease in miRNA-206 gene expression and IRS protein levels in diabetic cases (P<0.001) when compared with normal controls. There was a negative correlation between circRNA 0056618 and miRNA-206 and a positive correlation between circRNA 0056618 and PTPN-1. IRS at 0.840 showed 94.5% sensitivity and 90.9% specificity and AUC 0.905. PP2A at 0.868, sensitivity 96.4% and specificity 81.8%, and AUC 0.919. ROC curve for circRNA 0056618, at 0.882, sensitivity 89.1% and specificity 87.3%, and AUC 0.932, miRNA-206 at 0.785, sensitivity 85.5% and specificity 85.5%, and AUC 0.869. ROC curve for PTPN-1 at 0.556, sensitivity 67.3% and specificity 67.3%, and AUC 0.669. We concluded that circRNA 0056618, PTPN-1, PP2A, miRNA-206 and IRS are considered diagnostic, predictive biomarkers in T2DM. Future RNA-based therapy approaches may benefit from an understanding of such new pathways.

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hsa_circ_0111707 Is Associated With Risk of Stress-Related Type 2 Diabetes via Sponging miR-144-3p

Cited by 3 publications

References 38 publications

Neurological and metabolic related pathophysiologies and treatment of comorbid diabetes with depression

Neurological and metabolic related pathophysiologies and treatment of comorbid diabetes with depression

Non-coding RNAs in diabetes mellitus and diabetic cardiovascular disease

The relation between CircRNA0056618 and type 2 diabetes mellitus and insulin resistance through miRNA-206/PTPn-1 pathway

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