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Capetini VC, Quintanilha BJ, Garcia BREV, Rogero MM. Dietary modulation of microRNAs in insulin resistance and type 2 diabetes. J Nutr Biochem 2024; 133:109714. [PMID: 39097171 DOI: 10.1016/j.jnutbio.2024.109714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 07/13/2024] [Accepted: 07/29/2024] [Indexed: 08/05/2024]
Abstract
The prevalence of type 2 diabetes is increasing worldwide. Various molecular mechanisms have been proposed to interfere with the insulin signaling pathway. Recent advances in proteomics and genomics indicate that one such mechanism involves the post-transcriptional regulation of insulin signaling by microRNA (miRNA). These noncoding RNAs typically induce messenger RNA (mRNA) degradation or translational repression by interacting with the 3' untranslated region (3'UTR) of target mRNA. Dietary components and patterns, which can either enhance or impair the insulin signaling pathway, have been found to regulate miRNA expression in both in vitro and in vivo studies. This review provides an overview of the current knowledge of how dietary components influence the expression of miRNAs related to the control of the insulin signaling pathway and discusses the potential application of these findings in precision nutrition.
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Affiliation(s)
- Vinícius Cooper Capetini
- Nutritional Genomics and Inflammation Laboratory (GENUIN), Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Food Research Center (FoRC), São Paulo Research Foundation (FAPESP), São Paulo, Brazil; Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, Institute of Pharmaceutical Science, Department of Pharmacology, King's College London, London, United Kingdom.
| | - Bruna Jardim Quintanilha
- Nutritional Genomics and Inflammation Laboratory (GENUIN), Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Food Research Center (FoRC), São Paulo Research Foundation (FAPESP), São Paulo, Brazil
| | - Bruna Ruschel Ewald Vega Garcia
- Nutritional Genomics and Inflammation Laboratory (GENUIN), Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Marcelo Macedo Rogero
- Nutritional Genomics and Inflammation Laboratory (GENUIN), Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil; Food Research Center (FoRC), São Paulo Research Foundation (FAPESP), São Paulo, Brazil
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Heidarzadehpilehrood R, Pirhoushiaran M. Biomarker potential of competing endogenous RNA networks in Polycystic Ovary Syndrome (PCOS). Noncoding RNA Res 2024; 9:624-640. [PMID: 38571815 PMCID: PMC10988127 DOI: 10.1016/j.ncrna.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/21/2023] [Accepted: 01/08/2024] [Indexed: 04/05/2024] Open
Abstract
Polycystic ovary syndrome (PCOS) is the most common condition affecting women of reproductive age globally. PCOS continues to be the largest contributing factor to female infertility despite significant progress in our knowledge of the molecular underpinnings and treatment of the condition. The fact that PCOS is a very diverse condition makes it one of the key reasons why we haven't been able to overcome it. Non-coding RNAs (ncRNAs) are implicated in the development of PCOS, according to growing evidence. However, it is unclear how the complex regulatory relationships between the many ncRNA types contribute to the growth of this malignancy. Competing endogenous RNA (ceRNA), a recently identified mechanism in the RNA world, suggests regulatory interactions between various RNAs, including long non-coding RNAs (lncRNAs), microRNAs (miRNAs), transcribed pseudogenes, and circular RNAs (circRNAs). Recent studies on PCOS have shown that dysregulation of multiple ceRNA networks (ceRNETs) between these ncRNAs plays crucial roles in developing the defining characteristics of PCOS development. And it is believed that such a finding may open a new door for a deeper comprehension of PCOS's unexplored facets. In addition, it may be able to provide fresh biomarkers and effective therapy targets for PCOS. This review will go over the body of information that exists about the primary roles of ceRNETs before highlighting the developing involvement of several newly found ceRNETs in a number of PCOS characteristics.
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Affiliation(s)
- Roozbeh Heidarzadehpilehrood
- Department of Obstetrics & Gynaecology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia
| | - Maryam Pirhoushiaran
- Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, 1417613151, Iran
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Rojas-Criollo M, Novau-Ferré N, Gutierrez-Tordera L, Ettcheto M, Folch J, Papandreou C, Panisello L, Cano A, Mostafa H, Mateu-Fabregat J, Carrasco M, Camins A, Bulló M. Effects of a High-Fat Diet on Insulin-Related miRNAs in Plasma and Brain Tissue in APP Swe/PS1dE9 and Wild-Type C57BL/6J Mice. Nutrients 2024; 16:955. [PMID: 38612989 PMCID: PMC11013640 DOI: 10.3390/nu16070955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/18/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024] Open
Abstract
Insulin resistance (IR)-related miRNAs have been associated with the development and progression of Alzheimer's disease (AD). The dietary modulation of these miRNAs could become a potential strategy to manage AD. The aim of this study was to evaluate the effect of a high-fat diet (HFD), which aggravates AD-related pathogenic processes, on serum, cortex and hippocampus IR-related miRNA expression. C57BL/6J WT and APPSwe/PS1dE9 mice were fed either an HFD or a conventional diet till 6 months of age. The mice fed with the HFD showed a significant increase in body weight and worsening glucose and insulin metabolism. miR-19a-3p was found to be up-regulated in the cortex, hippocampus and serum of APP/PS1 mice and in the serum and hippocampus of WT mice fed with the HFD. miR-34a-5p and miR-146a-5p were up-regulated in the serum of both groups of mice after consuming the HFD. Serum miR-29c-3p was overexpressed after consuming the HFD, along with hippocampal miR-338-3p and miR-125b-5p, only in WT mice. The HFD modulated the expression of peripheral and brain miRNAs related to glucose and insulin metabolism, suggesting the potential role of these miRNAs not only as therapeutic targets of AD but also as peripheral biomarkers for monitoring AD.
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Affiliation(s)
- Melina Rojas-Criollo
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
| | - Nil Novau-Ferré
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
| | - Laia Gutierrez-Tordera
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
| | - Miren Ettcheto
- Department of Pharmacology, Toxicology and Therapeutic Chemistry, Faculty of Pharmacy and Food Science, Universitat de Barcelona, 08028 Barcelona, Spain; (M.E.); (M.C.); (A.C.)
- Institute of Neuroscience, Universitat de Barcelona, 08034 Barcelona, Spain
- Biomedical Research Networking Centre in Neurodegenerative Diseases (CIBERNED), Carlos III Health Institute, 28029 Madrid, Spain;
| | - Jaume Folch
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
- Biomedical Research Networking Centre in Neurodegenerative Diseases (CIBERNED), Carlos III Health Institute, 28029 Madrid, Spain;
| | - Christopher Papandreou
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
| | - Laura Panisello
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
| | - Amanda Cano
- Biomedical Research Networking Centre in Neurodegenerative Diseases (CIBERNED), Carlos III Health Institute, 28029 Madrid, Spain;
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, 08028 Barcelona, Spain
| | - Hamza Mostafa
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
| | - Javier Mateu-Fabregat
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
| | - Marina Carrasco
- Department of Pharmacology, Toxicology and Therapeutic Chemistry, Faculty of Pharmacy and Food Science, Universitat de Barcelona, 08028 Barcelona, Spain; (M.E.); (M.C.); (A.C.)
- Institute of Neuroscience, Universitat de Barcelona, 08034 Barcelona, Spain
- Biomedical Research Networking Centre in Neurodegenerative Diseases (CIBERNED), Carlos III Health Institute, 28029 Madrid, Spain;
| | - Antoni Camins
- Department of Pharmacology, Toxicology and Therapeutic Chemistry, Faculty of Pharmacy and Food Science, Universitat de Barcelona, 08028 Barcelona, Spain; (M.E.); (M.C.); (A.C.)
- Institute of Neuroscience, Universitat de Barcelona, 08034 Barcelona, Spain
- Biomedical Research Networking Centre in Neurodegenerative Diseases (CIBERNED), Carlos III Health Institute, 28029 Madrid, Spain;
| | - Mònica Bulló
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain; (M.R.-C.); (N.N.-F.); (L.G.-T.); (J.F.); (C.P.); (L.P.); (H.M.); (J.M.-F.)
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, 43201 Reus, Spain
- CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
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Wang Y, Zhao X, Zhang L, Yang C, Zhang K, Gu Z, Ding H, Li S, Qin J, Chu X. MicroRNA-34a Mediates High-Fat-Induced Hepatic Insulin Resistance by Targeting ENO3. Nutrients 2023; 15:4616. [PMID: 37960269 PMCID: PMC10650923 DOI: 10.3390/nu15214616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 10/15/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
The etiology of numerous metabolic disorders is characterized by hepatic insulin resistance (IR). Uncertainty surrounds miR-34a's contribution to high-fat-induced hepatic IR and its probable mechanism. The role and mechanism of miR-34a and its target gene ENO3 in high-fat-induced hepatic IR were explored by overexpressing/suppressing miR-34a and ENO3 levels in in vivo and in vitro experiments. Moreover, as a human hepatic IR model, the miR-34a/ENO3 pathway was validated in patients with non-alcoholic fatty liver disease (NAFLD). The overexpression of hepatic miR-34a lowered insulin signaling and altered glucose metabolism in hepatocytes. In contrast, reducing miR-34a expression significantly reversed hepatic IR indices induced by palmitic acid (PA)/HFD. ENO3 was identified as a direct target gene of miR-34a. Overexpression of ENO3 effectively inhibited high-fat-induced hepatic IR-related indices both in vitro and in vivo. Moreover, the expression patterns of members of the miR-34a/ENO3 pathway in the liver tissues of NAFLD patients was in line with the findings of both cellular and animal studies. A high-fat-induced increase in hepatic miR-34a levels attenuates insulin signaling and impairs glucose metabolism by suppressing the expression of its target gene ENO3, ultimately leading to hepatic IR. The miR-34a/ENO3 pathway may be a potential therapeutic target for hepatic IR and related metabolic diseases.
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Affiliation(s)
- Yuanyuan Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
| | - Xue Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
| | - Liuchao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Harbin Medical University, Harbin 150081, China;
| | - Chunxiao Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
| | - Kening Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
| | - Zhuo Gu
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
| | - Haiyan Ding
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
| | - Shuangshuang Li
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
| | - Jian Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
| | - Xia Chu
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin 150081, China; (Y.W.); (X.Z.); (C.Y.); (K.Z.); (Z.G.); (H.D.); (S.L.); (J.Q.)
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Albogami S. Genome-Wide Identification of lncRNA and mRNA for Diagnosing Type 2 Diabetes in Saudi Arabia. Pharmgenomics Pers Med 2023; 16:859-882. [PMID: 37731406 PMCID: PMC10508282 DOI: 10.2147/pgpm.s427977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 09/06/2023] [Indexed: 09/22/2023] Open
Abstract
Purpose According to the World Health Organization, Saudi Arabia ranks seventh worldwide in the number of patients with diabetes mellitus. To our knowledge, no research has addressed the potential of noncoding RNA as a diagnostic and/or management biomarker for patients with type 2 diabetes mellitus (T2DM) living in high-altitude areas. This study aimed to identify molecular biomarkers influencing patients with T2DM living in high-altitude areas by analyzing lncRNA and mRNA. Patients and Methods RNA sequencing and bioinformatics analyses were used to identify significantly expressed lncRNAs and mRNAs in T2DM and healthy control groups. Coding potential was analyzed using coding-noncoding indices, the coding potential calculator, and PFAM, and the lncRNA function was predicted using Pearson's correlation. Differentially expressed transcripts between the groups were identified, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed to identify the biological functions of both lncRNAs and mRNAs. Results We assembled 1766 lncRNAs in the T2DM group, of which 582 were novel. This study identified three lncRNA target genes (KLF2, CREBBP, and REL) and seven mRNAs (PIK3CD, PIK3R5, IL6R, TYK2, ZAP70, LAMTOR4, and SSH2) significantly enriched in important pathways, playing a role in the progression of T2DM. Conclusion To the best of our knowledge, this comprehensive study is the first to explore the applicability of certain lncRNAs as diagnostic or management biomarkers for T2DM in females in Taif City, Saudi Arabia through the genome-wide identification of lncRNA and mRNA profiling using RNA seq and bioinformatics analysis. Our findings could help in the early diagnosis of T2DM and in designing effective therapeutic targets.
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Affiliation(s)
- Sarah Albogami
- Department of Biotechnology, College of Science, Taif University, Taif, 21944, Saudi Arabia
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Park A, Nam S. miRDM-rfGA: Genetic algorithm-based identification of a miRNA set for detecting type 2 diabetes. BMC Med Genomics 2023; 16:195. [PMID: 37608331 PMCID: PMC10463588 DOI: 10.1186/s12920-023-01636-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 08/17/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) affects approximately 451 million adults globally. In this study, we identified the optimal combination of marker candidates for detecting T2DM using miRNA-Seq data from 95 samples including T2DM and healthy individuals. METHODS We utilized the genetic algorithm (GA) in the discovery of an optimal miRNA biomarker set. We discovered miRNA subsets consisting of three miRNAs for detecting T2DM by random forest-based GA (miRDM-rfGA) as a feature selection algorithm and created six GA parameter settings and three settings using traditional feature selection methods (F-test and Lasso). We then evaluated the prediction performance to detect T2DM in the miRNA subsets derived from each setting. RESULTS The miRNA subset in setting 5 using miRDM-rfGA performed the best in detecting T2DM (mean AUROC = 0.92). Target mRNA identification and functional enrichment analysis of the best miRNA subset (hsa-miR-125b-5p, hsa-miR-7-5p, and hsa-let-7b-5p) validated that this combination was involved in T2DM. We also confirmed that the targeted genes were negatively correlated with the clinical variables related to T2DM in the BxD mouse genetic reference population database. CONCLUSIONS Using GA in miRNA-Seq data, we identified the optimal miRNA biomarker set for T2DM detection. GA can be a useful tool for biomarker discovery and drug-target identification.
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Affiliation(s)
- Aron Park
- Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon, 21999, Korea
| | - Seungyoon Nam
- Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon, 21999, Korea.
- Department of Genome Medicine and Science, AI Convergence Center for Medical Science, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, Korea.
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Cai Y, Liu P, Xu Y, Xia Y, Peng X, Zhao H, Chen Q. Biomarkers of obesity-mediated insulin resistance: focus on microRNAs. Diabetol Metab Syndr 2023; 15:167. [PMID: 37537674 PMCID: PMC10401761 DOI: 10.1186/s13098-023-01137-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/09/2023] [Indexed: 08/05/2023] Open
Abstract
Obesity and metabolic syndromes are becoming increasingly prevalent worldwide. Insulin resistance (IR) is a common complication of obesity. However, IR occurrence varies across individuals with obesity and may involve epigenetic factors. To rationalize the allocation of healthcare resources, biomarkers for the early risk stratification of individuals with obesity should be identified. MicroRNAs (miRNAs) are closely associated with metabolic diseases and involved in epigenetic regulation. In this review, we have summarized the changes in miRNA expression in the peripheral circulation and tissues of patients and animals with obesity-associated IR over the last 5 years and identified several candidate biomarkers that predict obesity-related IR. There are areas for improvement in existing studies. First, more than the predictive validity of a single biomarker is required, and a biomarker panel needs to be formed. Second, miRNAs are often studied in isolation and do not form a network of signaling pathways. We believe that early biomarkers can help clinicians accurately predict individuals prone to obesity-related IR at an early stage. Epigenetic regulation may be one of the underlying causes of different clinical outcomes in individuals with obesity. Future studies should focus on objectively reflecting the differences in miRNA profile expression in individuals with obesity-related IR, which may help identify more reliable biomarkers. Understanding the metabolic pathways of these miRNAs can help design new metabolic risk prevention and management strategies, and support the development of drugs to treat obesity and metabolic disorders.
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Affiliation(s)
- Yichen Cai
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Pan Liu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yumei Xu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yuguo Xia
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Xiaowan Peng
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Haiyan Zhao
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qiu Chen
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China.
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Fan S, Yuan P, Li S, Li H, Zhai B, Li Y, Zhang H, Gu J, Li H, Tian Y, Kang X, Zhang Y, Li G. Genetic architecture and key regulatory genes of fatty acid composition in Gushi chicken breast muscle determined by GWAS and WGCNA. BMC Genomics 2023; 24:434. [PMID: 37537524 PMCID: PMC10398928 DOI: 10.1186/s12864-023-09503-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 07/03/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Fatty acids composition in poultry muscle is directly related to its tenderness, flavour, and juiciness, whereas its genetic mechanisms have not been elucidated. In this study, the genetic structure and key regulatory genes of the breast muscle fatty acid composition of local Chinese chicken, Gushi-Anka F2 resource population by integrating genome-wide association study (GWAS) and weighted gene co-expression network analysis (WGCNA) strategies. GWAS was performed based on 323,306 single nucleotide polymorphisms (SNPs) obtained by genotyping by sequencing (GBS) method and 721 chickens from the Gushi-Anka F2 resource population with highly variable fatty acid composition traits in the breast muscle. And then, according to the transcriptome data of the candidate genes that were obtained and phenotypic data of fatty acid composition traits in breast muscle of Gushi chickens at 14, 22, and 30 weeks of age, we conducted a WGCNA. RESULTS A total of 128 suggestive significantly associated SNPs for 11 fatty acid composition traits were identified and mapped on chromosomes (Chr) 2, 3, 4, 5, 13, 17, 21, and 27. Of these, the two most significant SNPs were Chr13:5,100,140 (P = 4.56423e-10) and Chr13:5,100,173 (P = 4.56423e-10), which explained 5.6% of the phenotypic variation in polyunsaturated fatty acids (PUFA). In addition, six fatty acid composition traits, including C20:1, C22:6, saturated fatty acid (SFA), unsaturated fatty acids (UFA), PUFA, and average chain length (ACL), were located in the same QTL intervals on Chr13. We obtained 505 genes by scanning the linkage disequilibrium (LD) regions of all significant SNPs and performed a WGCNA based on the transcriptome data of the above 505 genes. Combining two strategies, 9 hub genes (ENO1, ADH1, ASAH1, ADH1C, PIK3CD, WISP1, AKT1, PANK3, and C1QTNF2) were finally identified, which could be the potential candidate genes regulating fatty acid composition traits in chicken breast muscle. CONCLUSION The results of this study deepen our understanding of the genetic mechanisms underlying the regulation of fatty acid composition traits, which is helpful in the design of breeding strategies for the subsequent improvement of fatty acid composition in poultry muscle.
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Affiliation(s)
- Shengxin Fan
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Pengtao Yuan
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Shuaihao Li
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Hongtai Li
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Bin Zhai
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Yuanfang Li
- School of Medicine and Health, Harbin Institute of Technology, Harbin, 150001, HeiLongJiang, China
- Zhengzhou Research Institute, Harbin Institute of Technology, Zhengzhou, 450000, Henan, China
| | - Hongyuan Zhang
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Jinxin Gu
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Hong Li
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China
- The Shennong Laboratory, Zhengzhou, 450002, China
| | - Yanhua Zhang
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China.
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China.
| | - Guoxi Li
- College of Animal Science and Technology, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China.
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Henan Agricultural University, No.15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450002, China.
- The Shennong Laboratory, Zhengzhou, 450002, China.
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9
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Ma H, Ge P, Bian S, Li Y, Ni A, Zhang R, Wang Y, Zhao J, Zong Y, Yuan J, Sun Y, Chen J. miR-193-5p negatively regulates PIK3CD to promote crop fibrocyte proliferation in pigeon (Columba livia). Poult Sci 2022; 102:102378. [PMID: 36565634 PMCID: PMC9801189 DOI: 10.1016/j.psj.2022.102378] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/13/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022] Open
Abstract
The crop of pigeon has specific characteristics as producing crop milk in the lactating period. However, the exact mechanisms underlying the regulation of crop lactation remain unclear. miRNAs, the essential regulators of gene expression, are implicated in various physiological and biological activities. In this study, we discovered a new miRNA that regulated phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit delta (PIK3CD) and crop fibrocyte proliferation. Results of the luciferase reporter assay suggested that miR-193-5p suppressed PIK3CD expression by targeting a conserved binding site in the 3'-untranslated region (UTR) of PIK3CD mRNA. MiR-193-5p promoted crop fibrocyte proliferation and migration, whereas PIK3CD inhibited these effects. These findings suggested an important regulatory role of miR-193-5p in crop fibrocyte proliferation, suggesting that miR-193-5p and PIK3CD might be important regulators of crop milk production.
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10
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Wakabayashi I, Sotoda Y, Groschner K, Rainer PP, Sourij H. Differences in circulating obesity-related microRNAs in Austrian and Japanese men: A two-country cohort analysis. Metabol Open 2022; 15:100206. [PMID: 36065413 PMCID: PMC9440426 DOI: 10.1016/j.metop.2022.100206] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 11/29/2022] Open
Abstract
Background The prevalence of obesity is higher in Western countries than in East Asian countries. It remains unknown whether microRNAs (miRNAs) are involved in the pathogenesis of the ethnic difference in obesity. The purpose of this study was to determine whether expression levels of circulating obesity-associated miRNAs are different in Europeans and Asians. Methods The subjects were middle-aged healthy male Austrians (n = 20, mean age of 49.9 years) and Japanese (n = 20, mean age of 48.7 years). Total miRNAs in serum from each subject were analyzed using the 3D-Gene miRNA Oligo chip. miRNAs that showed significant differences between the Austrian and Japanese groups were uploaded into Ingenuity Pathway Analysis (IPA). Results Among 16 miRNAs that were revealed to be associated with obesity in previous studies and showed expression levels that were high enough for a reasonable comparison, serum levels of 3 miRNAs displayed significant differences between the Austrian and Japanese groups: miR-125b-1-3p was significantly lower with a fold change of −2.94 and miR-20a-5p and miR-486–5p were significantly higher with fold changes of 1.73 and 2.38, respectively, in Austrians than in Japanese. In IPA including all 392 miRNAs that showed significant differences between Austrians and Japanese, three canonical pathways including leptin signaling in obesity, adipogenesis pathway and white adipose tissue browning pathway were identified as enriched pathways. Conclusions miRNAs are thought to be involved in the ethnic difference in the prevalence of obesity, which may in part be caused by different expression levels of miR-125b-1-3p, miR-20a-5p and miR-486–5p. Ethnic difference in circulating obesity-related microRNAs (miRs) were investigated. Levels of 2565 miRs in blood were compared between Austrians and Japanese. miR-125b-1-3p, −20a-5p and -486–5p levels were significantly different between them. Significant ethnic differences were found in blood levels of 392 miRs. These miRs target the molecules comprising obesity-related three canonical pathways.
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Affiliation(s)
- Ichiro Wakabayashi
- Department of Environmental and Preventive Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, 663-8501, Japan
- Corresponding author. Department of Environmental and Preventive Medicine, School of Medicine, Hyogo Medical University, Mukogawa-cho 1-1, Nishinomiya, Hyogo, 663-8501, Japan.
| | - Yoko Sotoda
- Department of Cardiovascular Surgery, Yamagata Saisei Hospital, Yamagata, 990-8545, Japan
| | - Klaus Groschner
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Neue Stiftingtalstrasse 6/D04, 8010, Graz, Austria
| | - Peter P. Rainer
- Division of Cardiology, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
| | - Harald Sourij
- Division of Endocrinology and Diabetology, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
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11
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Miao Y, Fu C, Liao M, Fang F. Differences in Liver microRNA profiling in pigs with low and high
feed efficiency. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2022; 64:312-329. [PMID: 35530409 PMCID: PMC9039951 DOI: 10.5187/jast.2022.e4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/20/2021] [Accepted: 01/09/2022] [Indexed: 11/21/2022]
Abstract
Feed cost is the main factor affecting the economic benefits of pig industry.
Improving the feed efficiency (FE) can reduce the feed cost and improve the
economic benefits of pig breeding enterprises. Liver is a complex metabolic
organ which affects the distribution of nutrients and regulates the efficiency
of energy conversion from nutrients to muscle or fat, thereby affecting feed
efficiency. MicroRNAs (miRNAs) are small non-coding RNAs that can regulate feed
efficiency through the modulation of gene expression at the post-transcriptional
level. In this study, we analyzed miRNA profiling of liver tissues in High-FE
and Low-FE pigs for the purpose of identifying key miRNAs related to feed
efficiency. A total 212~221 annotated porcine miRNAs and 136~281 novel
miRNAs were identified in the pig liver. Among them, 188 annotated miRNAs were
co-expressed in High-FE and Low-FE pigs. The 14 miRNAs were significantly
differentially expressed (DE) in the livers of high-FE pigs and low-FE pigs, of
which 5 were downregulated and 9 were upregulated. Kyoto Encyclopedia of Genes
and Genomes analysis of liver DE miRNAs in high-FE pigs and low-FE pigs
indicated that the target genes of DE miRNAs were significantly enriched in
insulin signaling pathway, Gonadotropin-releasing hormone signaling pathway, and
mammalian target of rapamycin signaling pathway. To verify the reliability of
sequencing results, 5 DE miRNAs were randomly selected for quantitative reverse
transcription-polymerase chain reaction (qRT-PCR). The qRT-PCR results of miRNAs
were confirmed to be consistent with sequencing data. DE miRNA data indicated
that liver-specific miRNAs synergistically acted with mRNAs to improve feed
efficiency. The liver miRNAs expression analysis revealed the metabolic pathways
by which the liver miRNAs regulate pig feed efficiency.
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Affiliation(s)
- Yuanxin Miao
- College of Bioengineering,Jingchu
University of Technology, Jingmen 448000, Hubei, China
- Key Laboratory of Agricultural Animal
Genetics, Breeding and Reproduction of Ministry of Education, Huazhong
Agricultural University, Wuhan 430070, China
| | - Chuanke Fu
- Key Laboratory of Agricultural Animal
Genetics, Breeding and Reproduction of Ministry of Education, Huazhong
Agricultural University, Wuhan 430070, China
| | - Mingxing Liao
- Key Laboratory of Agricultural Animal
Genetics, Breeding and Reproduction of Ministry of Education, Huazhong
Agricultural University, Wuhan 430070, China
| | - Fang Fang
- Key Laboratory of Agricultural Animal
Genetics, Breeding and Reproduction of Ministry of Education, Huazhong
Agricultural University, Wuhan 430070, China
- National Center for International Research
on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong
Agricultural University, Wuhan 430070, China
- Corresponding author: Fang Fang, Key Laboratory of
Agricultural Animal Genetics, Breeding and Reproduction of Ministry of
Education, Huazhong Agricultural University, Wuhan 430070, China. Tel:
+86-278-728-2091, E-mail:
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12
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Zhang B, Gao Y, Zhang X, Jiang J, Ren J, Wang S, Hu H, Zhao Y, Chen L, Zhao K, Dai F. Ultra-stable dextran conjugated prodrug micelles for oxidative stress and glycometabolic abnormality combination treatment of Alzheimer's disease. Int J Biol Macromol 2022; 203:430-444. [PMID: 35093435 DOI: 10.1016/j.ijbiomac.2022.01.154] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 01/12/2022] [Accepted: 01/24/2022] [Indexed: 12/20/2022]
Abstract
Sophisticated nanomedicines are continually being developed, but big obstacles remain before they finish the drug release mission. The first challenge is rupture possibility of structure when infinite dilution, competitive reaction of electrolytes and protein in blood circulation. In addition, low responsive drug release efficiency in the lesion site remains the major challenge for clinical application of nanomedicine combination treatment. In this study, we discussed the opportunities for Alzheimer's disease (AD) combination therapy based on the thermodynamically ultra-stable dextran conjugated prodrug micelles. Dextran-nateglinide conjugated prodrug micelles (NA) and dextran-vitamin E succinate conjugated prodrug micelles (VES) presented ultra-low critical micelle concentration of ~10-5 mM and high physiological stability when challenged by NaCl, sodium dodecyl sulphate (SDS), dodecyl dimethyl benzyl ammonium chloride (DDBAC) and no rupture of structure happened. The NA/insulin polymer-drug conjugate micelles (NA/INS PDC) and VES/insulin polymer-drug conjugate micelles (VES/INS PDC) efficiently cleaved by reactive oxygen species (ROS), leading to over 80% release of the encapsulated and conjugated drugs. The combination of nateglinide and insulin, vitamin E succinate and insulin improved the glucose metabolism, reduced oxidative stress, improved the mitochondrial function and recovered the cognitive capacity of mice. This work demonstrated a paradigm for specific and high efficacy AD combination therapy.
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Affiliation(s)
- Bo Zhang
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Yachai Gao
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Xiaolei Zhang
- Heibei Research Centre of Analysis and Testing, Hebei University of Science and Technology, Shijiazhuang 050018, China
| | - Jicheng Jiang
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Jian Ren
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Shaoteng Wang
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Haodong Hu
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Yiping Zhao
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Li Chen
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China
| | - Kongyin Zhao
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China.
| | - Fengying Dai
- State Key Laboratory of Separation Membranes and Membrane Processes, National Center for International Joint Research on Separation Membranes, School of Material Science and Engineering, Tiangong University, Tianjin 300387, China.
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13
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Palihaderu PADS, Mendis BILM, Premarathne JMKJK, Dias WKRR, Yeap SK, Ho WY, Dissanayake AS, Rajapakse IH, Karunanayake P, Senarath U, Satharasinghe DA. Potential role of microRNAs in selective hepatic insulin resistance: From paradox to the paradigm. Front Endocrinol (Lausanne) 2022; 13:1028846. [PMID: 36479211 PMCID: PMC9720316 DOI: 10.3389/fendo.2022.1028846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/31/2022] [Indexed: 11/22/2022] Open
Abstract
The paradoxical action of insulin on hepatic glucose metabolism and lipid metabolism in the insulin-resistant state has been of much research interest in recent years. Generally, insulin resistance would promote hepatic gluconeogenesis and demote hepatic de novo lipogenesis. The underlying major drivers of these mechanisms were insulin-dependent, via FOXO-1-mediated gluconeogenesis and SREBP1c-mediated lipogenesis. However, insulin-resistant mouse models have shown high glucose levels as well as excess lipid accumulation. As suggested, the inert insulin resistance causes the activation of the FOXO-1 pathway promoting gluconeogenesis. However, it does not affect the SREBP1c pathway; therefore, cells continue de novo lipogenesis. Many hypotheses were suggested for this paradoxical action occurring in insulin-resistant rodent models. A "downstream branch point" in the insulin-mediated pathway was suggested to act differentially on the FOXO-1 and SREBP1c pathways. MicroRNAs have been widely studied for their action of pathway mediation via suppressing the intermediate protein expressions. Many in vitro studies have postulated the roles of hepato-specific expressions of miRNAs on insulin cascade. Thus, miRNA would play a pivotal role in selective hepatic insulin resistance. As observed, there were confirmations and contradictions between the outcomes of gene knockout studies conducted on selective hepatic insulin resistance and hepato-specific miRNA expression studies. Furthermore, these studies had evaluated only the effect of miRNAs on glucose metabolism and few on hepatic de novo lipogenesis, limiting the ability to conclude their role in selective hepatic insulin resistance. Future studies conducted on the role of miRNAs on selective hepatic insulin resistance warrant the understanding of this paradoxical action of insulin.
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Affiliation(s)
| | | | | | | | - Swee Keong Yeap
- China-ASEAN College of Marine Sciences, Xiamen University Malaysia, Sepang, Selangor, Malaysia
| | - Wan Yong Ho
- Faculty of Sciences and Engineering, University of Nottingham Malaysia, Semenyih, Malaysia
| | | | | | - Panduka Karunanayake
- Department of Clinical Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Upul Senarath
- Department of Community Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Dilan Amila Satharasinghe
- Department of Basic Veterinary Sciences, Faculty of Veterinary Medicine and Animal Science, University of Peradeniya, Peradeniya, Sri Lanka
- *Correspondence: Dilan Amila Satharasinghe,
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14
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Arghiani N, Nissan T, Matin MM. Role of microRNAs in COVID-19 with implications for therapeutics. Biomed Pharmacother 2021; 144:112247. [PMID: 34601190 PMCID: PMC8463393 DOI: 10.1016/j.biopha.2021.112247] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/21/2021] [Accepted: 09/22/2021] [Indexed: 02/09/2023] Open
Abstract
COVID-19 is a pneumonia-like disease with highly transmittable and pathogenic properties caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which infects both animals and humans. Although many efforts are currently underway to test possible therapies, there is no specific FDA approved drug against SARS-CoV-2 yet. miRNA-directed gene regulation controls the majority of biological processes. In addition, the development and progression of several human diseases are associated with dysregulation of miRNAs. In this regard, it has been shown that changes in miRNAs are linked to severity of COVID-19 especially in patients with respiratory diseases, diabetes, heart failure or kidney problems. Therefore, targeting these small noncoding-RNAs could potentially alleviate complications from COVID-19. Here, we will review the roles and importance of host and RNA virus encoded miRNAs in COVID-19 pathogenicity and immune response. Then, we focus on potential miRNA therapeutics in the patients who are at increased risk for severe disease.
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Affiliation(s)
- Nahid Arghiani
- Department of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Stockholm, Sweden; School of Life Science, Department of Biochemistry and Biomedicine, University of Sussex, Brighton, United Kingdom
| | - Tracy Nissan
- Department of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Stockholm, Sweden; School of Life Science, Department of Biochemistry and Biomedicine, University of Sussex, Brighton, United Kingdom.
| | - Maryam M Matin
- Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran; Novel Diagnostics and Therapeutics Research Group, Institute of Biotechnology, Ferdowsi University of Mashhad, Mashhad, Iran; Stem Cell and Regenerative Medicine Research Group, Iranian Academic Center for Education, Culture and Research (ACECR), Khorasan Razavi Branch, Mashhad, Iran.
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15
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Zhang Y, Lu J, Zhong YJ, Yang CF, Chen L, Wu D, Song MW, Shi L, Ma ZH, Li L, Li YW. Methyl ferulic acid ameliorates alcohol-induced hepatic insulin resistance via miR-378b-mediated activation of PI3K-AKT pathway. Biomed Pharmacother 2021; 145:112462. [PMID: 34844105 DOI: 10.1016/j.biopha.2021.112462] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 11/13/2021] [Accepted: 11/19/2021] [Indexed: 12/18/2022] Open
Abstract
A previous study indicated that microRNA-378b (miR-378b) plays a critical role in controlling hepatic insulin resistance by targeting insulin receptor (IR) and p110α in alcoholic liver disease (ALD). Methyl ferulic acid (MFA), a bioactive ingredient in Securidaca inappendiculata Hassk rhizomes, exhibits multiple pharmacological activities. It has been reported that MFA ameliorates insulin resistance in ALD, whereas the underlying molecular mechanism remains unclear. The objective of study was to evaluate the influence of MFA on insulin sensitivity in ethanol-induced L-02 cells as well as alcohol-fed mice and illuminate the function of miR-378b-mediated phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) pathway in system. MFA was found to remarkably down-regulate miR-378b level and increase IR and p110α expressions. Furthermore, the effect of MFA on modulating miR-378b/PI3K-AKT pathway to enhance insulin sensitivity was corroborated by overexpressing and inhibiting miR-378b. Taken together, MFA exhibited a positive effect against ALD by attenuating the inhibition of miR-378b on IR/p110α and partly activating the insulin signaling to alleviate alcohol-induced hepatic insulin resistance.
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Affiliation(s)
- Yan Zhang
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Jun Lu
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Yu-Juan Zhong
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Cheng-Fang Yang
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Li Chen
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Dan Wu
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Meng-Wei Song
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Lin Shi
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Zu-Heng Ma
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Li Li
- College of Pharmacy, Guilin Medical University, Guilin, China.
| | - Yong-Wen Li
- College of Pharmacy, Guilin Medical University, Guilin, China; Center for Diabetic Systems Medicine, Guangxi Key Laboratory of Excellence, Guilin, China.
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16
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Guan D, Martínez A, Luigi-Sierra MG, Delgado JV, Landi V, Castelló A, Fernández Álvarez J, Such X, Jordana J, Amills M. Detecting the footprint of selection on the genomes of Murciano-Granadina goats. Anim Genet 2021; 52:683-693. [PMID: 34196982 DOI: 10.1111/age.13113] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2021] [Indexed: 01/14/2023]
Abstract
Artificial selection is one of the major forces modifying the genetic composition of livestock populations. Identifying genes under selection could be useful to elucidate their impact on phenotypic variation. We aimed to identify genomic regions targeted by selection for dairy and pigmentation traits in Murciano-Granadina goats. Performance of a selection scan based on the integrated haplotype score test in a population of 1183 Murciano-Granadina goats resulted in the identification of 77 candidate genomic regions/SNPs. The most significant selective sweeps mapped to chromosomes 1 (69.86 Mb), 4 (41.80-49.95 Mb), 11 (65.74 Mb), 12 (31.24 and 52.51 Mb), 17 (34.76-37.67 Mb), 22 (31.75 Mb), and 26 (26.69-31.05 Mb). By using previously generated RNA-Seq data, we built a catalogue of 6414 genes that are differentially expressed across goat lactation (i.e. 78 days post-partum, early lactation; 216 days post-partum, late lactation; 285 days post-partum, dry period). Interestingly, 183 of these genes mapped to selective sweeps and several of them display functions related with lipid, protein, and carbohydrate metabolism, insulin signaling, cell proliferation, as well as mammary development and involution. Of particular interest are the CSN3 and CSN1S2 genes, which encode two major milk proteins. Additionally, we found three pigmentation genes (GLI3, MC1R, and MITF) co-localizing with selective sweeps. Performance of a genome-wide association study and Sanger sequencing and TaqMan genotyping experiments revealed that the c.801C>G (p.Cys267Trp) polymorphism in the melanocortin 1 receptor (MC1R) gene is the main determinant of the black (GG or GC genotypes) and brown (CC genotypes) colorations of Murciano-Granadina goats.
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Affiliation(s)
- D Guan
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - A Martínez
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain
| | - M G Luigi-Sierra
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - J V Delgado
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain
| | - V Landi
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain.,Department of Veterinary Medicine, University of Bari "Aldo Moro", SP. 62 per Casamassima km. 3, Valenzano, 70010, Italy
| | - A Castelló
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - J Fernández Álvarez
- Asociación Nacional de Criadores de Caprino de Raza Murciano-Granadina (CAPRIGRAN), Fuente Vaqueros, Granada, 18340, Spain
| | - X Such
- Group of Research in Ruminants (G2R), Department of Animal and Food Science, Universitat Autònoma de Barcelona (UAB), Bellaterra, 08193, Spain
| | - J Jordana
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - M Amills
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
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17
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Fodor A, Lazar AL, Buchman C, Tiperciuc B, Orasan OH, Cozma A. MicroRNAs: The Link between the Metabolic Syndrome and Oncogenesis. Int J Mol Sci 2021; 22:ijms22126337. [PMID: 34199293 PMCID: PMC8231835 DOI: 10.3390/ijms22126337] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 06/03/2021] [Accepted: 06/09/2021] [Indexed: 12/14/2022] Open
Abstract
Metabolic syndrome (MetS) represents a cluster of disorders that increase the risk of a plethora of conditions, in particular type two diabetes, cardiovascular diseases, and certain types of cancers. MetS is a complex entity characterized by a chronic inflammatory state that implies dysregulations of adipokins and proinflammatory cytokins together with hormonal and growth factors imbalances. Of great interest is the implication of microRNA (miRNA, miR), non-coding RNA, in cancer genesis, progression, and metastasis. The adipose tissue serves as an important source of miRs, which represent a novel class of adipokines, that play a crucial role in carcinogenesis. Altered miRs secretion in the adipose tissue, in the context of MetS, might explain their implication in the oncogenesis. The interplay between miRs expressed in adipose tissue, their dysregulation and cancer pathogenesis are still intriguing, taking into consideration the fact that miRNAs show both carcinogenic and tumor suppressor effects. The aim of our review was to discuss the latest publications concerning the implication of miRs dysregulation in MetS and their significance in tumoral signaling pathways. Furthermore, we emphasized the role of miRNAs as potential target therapies and their implication in cancer progression and metastasis.
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Affiliation(s)
- Adriana Fodor
- Department of Diabetes and Nutrtion, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Correspondence: (A.F.); (A.L.L.); (C.B.)
| | - Andrada Luciana Lazar
- Department of Dermatology, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Correspondence: (A.F.); (A.L.L.); (C.B.)
| | - Cristina Buchman
- Department of Oncology, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Correspondence: (A.F.); (A.L.L.); (C.B.)
| | - Brandusa Tiperciuc
- Department of Pharmaceutical Chemistry, “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania;
| | - Olga Hilda Orasan
- Internal Medicine Department, 4th Medical Clinic “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (O.H.O.); (A.C.)
| | - Angela Cozma
- Internal Medicine Department, 4th Medical Clinic “Iuliu Haţieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania; (O.H.O.); (A.C.)
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18
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Li YY, Zhong YJ, Cheng Q, Wang YZ, Fan YY, Yang CF, Ma Z, Li YW, Li L. miR-378b Regulates Insulin Sensitivity by Targeting Insulin Receptor and p110α in Alcohol-Induced Hepatic Steatosis. Front Pharmacol 2020; 11:717. [PMID: 32508647 PMCID: PMC7251170 DOI: 10.3389/fphar.2020.00717] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 04/30/2020] [Indexed: 12/12/2022] Open
Abstract
Insulin resistance has been implicated in alcoholic liver disease. A previous study has shown that microRNAs (miRNAs) play a major role in the production, secretion, and function of insulin. MiRNAs are capable of repressing multiple target genes that in turn negatively regulate various physiological and pathological activities. However, current information on the biological function of miRNAs in insulin resistance is limited. The goal of the present study was to elucidate the role of miR-378b in alcohol-induced hepatic insulin resistance and its underlying mechanism. This study has observed that miR-378b is up-regulated in National Institute on Alcohol Abuse and Alcoholism (NIAAA) alcoholic mouse models as well as in ethanol-induced L-02 cells in vitro. Furthermore, miR-378b overexpression impaired the insulin signaling pathway, and inhibition of miR-378b improved insulin sensitivity in vivo and in vitro. A mechanistic study revealed that IR and p110α are direct targets of miR-378b. Together, these results suggest that miR-378b controls insulin sensitivity by targeting the insulin receptor (IR) as well as p110α and possibly play an inhibitory role in the development of insulin resistance, thereby providing insights into the development of novel diagnostic and treatment methods.
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Affiliation(s)
- Yuan-yuan Li
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Yu-juan Zhong
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Qi Cheng
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Ying-zhao Wang
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Yuan-yuan Fan
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Cheng-fang Yang
- College of Pharmacy, Guilin Medical University, Guilin, China
| | - Zuheng Ma
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Yong-wen Li
- College of Pharmacy, Guilin Medical University, Guilin, China
- Center for Diabetic Systems Medicine, Guangxi Key Laboratory of Excellence, Guilin, China
| | - Li Li
- College of Pharmacy, Guilin Medical University, Guilin, China
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19
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Transcriptome analysis revealed the mechanism of the metabolic toxicity and susceptibility of di-(2-ethylhexyl)phthalate on adolescent male ICR mice with type 2 diabetes mellitus. Arch Toxicol 2019; 93:3183-3206. [DOI: 10.1007/s00204-019-02590-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 10/01/2019] [Indexed: 12/14/2022]
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20
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Ding Y, Liu Y, Fei F, Yang L, Mao G, Zhao T, Zhang Z, Yan M, Feng W, Wu X. Study on the metabolism toxicity, susceptibility and mechanism of di-(2-ethylhexyl) phthalate on rat liver BRL cells with insulin resistance in vitro. Toxicology 2019; 422:102-120. [DOI: 10.1016/j.tox.2019.05.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 04/29/2019] [Accepted: 05/27/2019] [Indexed: 12/16/2022]
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21
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Xihua L, Shengjie T, Weiwei G, Matro E, Tingting T, Lin L, Fang W, Jiaqiang Z, Fenping Z, Hong L. Circulating miR-143-3p inhibition protects against insulin resistance in Metabolic Syndrome via targeting of the insulin-like growth factor 2 receptor. Transl Res 2019; 205:33-43. [PMID: 30392876 DOI: 10.1016/j.trsl.2018.09.006] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 09/24/2018] [Accepted: 09/28/2018] [Indexed: 12/14/2022]
Abstract
Metabolic syndrome (MetS) is characterized by a cluster of metabolic disorders including obesity, dyslipidemia, hyperglycemia, and hypertension. Here, we report that 27 microRNAs were found to be expressed differently in serum and urine samples of MetS patients compared to control subjects on microarray analysis. Further qualitative real time- polymerase chain reaction analyses confirmed that circulating levels of miR-143-3p were significantly elevated in MetS patients compared with controls, both in serum and urine samples. After accounting for confounding factors, high levels of miR-143-3p remained an independent risk factor for insulin resistance. Inhibition of miR-143-3p expression in mice protected against development of obesity-associated insulin resistance. Furthermore, we demonstrated that insulin-like growth factor 2 receptor (IGF2R) was among the target genes of miR-143-3p by searching 3 widely used bioinformatics databases and preliminary validation. Our experiments suggest that knockdown of circulating miR-143-3p may protect against insulin resistance in the setting of MetS via targeting of IGF2R and activation of the insulin signaling pathway. Our results characterize the miR-143-3p-IGF2R pathway as a potential target for the treatment of obesity-associated insulin resistance.
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Affiliation(s)
- Lin Xihua
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China; Biomedical Research Center and Key Laboratory of Biotherapy of Zhejiang Province, the Affliated Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Tang Shengjie
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Gui Weiwei
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Erik Matro
- College of Medicine, Zhejiang University, Hangzhou, China
| | - Tao Tingting
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Li Lin
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Wu Fang
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Zhou Jiaqiang
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Zheng Fenping
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Li Hong
- Department of Endocrinology, the Affliated Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
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22
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Jia N, Lin X, Ma S, Ge S, Mu S, Yang C, Shi S, Gao L, Xu J, Bo T, Zhao J. Amelioration of hepatic steatosis is associated with modulation of gut microbiota and suppression of hepatic miR-34a in Gynostemma pentaphylla (Thunb.) Makino treated mice. Nutr Metab (Lond) 2018; 15:86. [PMID: 30555521 PMCID: PMC6282400 DOI: 10.1186/s12986-018-0323-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 11/26/2018] [Indexed: 02/07/2023] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is a chronic and progressive liver disease with an increased risk of morbidity and mortality. However, so far no specific pharmacotherapy has been approved. Gynostemma pentaphylla (Thunb.) Makino (GP) is a traditional Chinese medicine that is widely used against hyperlipemia as well as hyperglycemia. This study aims to evaluate the effect of GP on NAFLD and explore the possible mechanism. Methods High-fat-diet induced NAFLD mice model were orally administrated with GP at dose of 11.7 g/kg or equivalent volume of distilled water once a day for 16 weeks. Body weight, food intake and energy expenditure were assessed to evaluate the general condition of mice. The triglycerides, total cholesterol content in the liver and liver histopathology, serum lipid profile and serum insulin level, fecal microbiome, hepatic microRNAs and relative target genes were analyzed. Results Mice in GP treatment group displayed improved hepatic triglycerides content with lower lipid droplet in hepatocyte and NAFLD activity score. Besides, GP treatment altered the composition of gut microbiota and the relative abundance of some of the key components that are implicated in metabolic disorders, especially phylum Firmicutes (Eubacterium, Blautia, Clostridium and Lactobacillus). Several hepatic microRNAs were downregulated by GP treatment such as miR-130a, miR-34a, miR-29a, miR-199a, among which the expression miR-34a was altered by more than four-fold compared to that of HFD group (3:14). The correlation analysis showed that miR-34a was strongly related to the change of gut microbiota especially phylum Firmicutes (R = 0.796). Additionally, the target genes of miR-34a (HNF4α, PPARα and PPARα) were restored by GP both in mRNA and protein levels. Conclusion Our results suggested that GP modulated the gut microbiota and suppressed hepatic miR-34a, which was associated with the amelioration of hepatic steatosis.
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Affiliation(s)
- Ning Jia
- 1Shandong University of Traditional Chinese Medicine, Jinan, 250355 China.,2Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021 China.,Shandong Provincial Key Laboratory of Institute of Endocrinology and Lipid Metabolism, Jinan, 250021 China.,Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, 250021 China
| | - Xiaoyan Lin
- 6Department of Pathology, Shandong Provincial Hospital affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021 China
| | - Shizhan Ma
- 2Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021 China.,Shandong Provincial Key Laboratory of Institute of Endocrinology and Lipid Metabolism, Jinan, 250021 China.,Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, 250021 China
| | - Shujian Ge
- 7Department of Scientific Research, Shandong Provincial Hospital affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021 China
| | - Shumin Mu
- 8Department of Endocrinology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014 China
| | - Chongbo Yang
- 2Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021 China.,Shandong Provincial Key Laboratory of Institute of Endocrinology and Lipid Metabolism, Jinan, 250021 China.,Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, 250021 China
| | - Shulong Shi
- 1Shandong University of Traditional Chinese Medicine, Jinan, 250355 China.,2Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021 China.,Shandong Provincial Key Laboratory of Institute of Endocrinology and Lipid Metabolism, Jinan, 250021 China.,Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, 250021 China
| | - Ling Gao
- Shandong Provincial Key Laboratory of Institute of Endocrinology and Lipid Metabolism, Jinan, 250021 China.,Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, 250021 China.,5Scientific Center, Shandong Provincial Hospital affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021 China
| | - Jin Xu
- 2Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021 China.,Shandong Provincial Key Laboratory of Institute of Endocrinology and Lipid Metabolism, Jinan, 250021 China.,Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, 250021 China
| | - Tao Bo
- 5Scientific Center, Shandong Provincial Hospital affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021 China
| | - Jiajun Zhao
- 1Shandong University of Traditional Chinese Medicine, Jinan, 250355 China.,2Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, 250021 China.,Shandong Provincial Key Laboratory of Institute of Endocrinology and Lipid Metabolism, Jinan, 250021 China.,Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, 250021 China
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23
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Berry C, Lal M, Binukumar BK. Crosstalk Between the Unfolded Protein Response, MicroRNAs, and Insulin Signaling Pathways: In Search of Biomarkers for the Diagnosis and Treatment of Type 2 Diabetes. Front Endocrinol (Lausanne) 2018; 9:210. [PMID: 29770126 PMCID: PMC5940743 DOI: 10.3389/fendo.2018.00210] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Accepted: 04/16/2018] [Indexed: 12/14/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic disorder that is characterized by functional defects in glucose metabolism and insulin secretion. Its complex etiology and multifaceted nature have made it difficult to design effective therapies for early diagnosis and treatment. Several lines of evidence indicate that aberrant activation of the unfolded protein response (UPR) in response to endoplasmic reticulum (ER) stress impairs the β cell's ability to respond to glucose and promotes apoptosis. Elucidating the molecular mechanisms that govern β cell dysfunction and cell death can help investigators design therapies to halt or prevent the development of T2DM. Early diagnosis of T2DM, however, warrants additionally the identification of potential biomarkers. MicroRNAs (miRNAs) are key regulators of transcriptional processes that modulate various features of insulin signaling, such as insulin sensitivity, glucose tolerance, and insulin secretion. A deeper understanding of how changes in patterns of expression of miRNAs correlate with altered glucose metabolism can enable investigators to develop methods for the early diagnosis and treatment of T2DM. The first part of this review examines how altered expression of specific UPR pathway proteins disrupts ER function and causes β cell dysfunction, while the second part discusses the potential role of miRNAs in the diagnostic and treatment of T2DM.
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Affiliation(s)
- Chinar Berry
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Megha Lal
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Delhi, India
| | - B. K. Binukumar
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Delhi, India
- *Correspondence: B. K. Binukumar, ,
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