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Ye C, Li Y, Shi J, He L, Shi X, Yang W, Lei W, Quan S, Lan X, Liu S. Network pharmacology analysis revealed the mechanism and active compounds of jiao tai wan in the treatment of type 2 diabetes mellitus via SRC/PI3K/AKT signaling. JOURNAL OF ETHNOPHARMACOLOGY 2024; 337:118898. [PMID: 39374878 DOI: 10.1016/j.jep.2024.118898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 10/01/2024] [Accepted: 10/03/2024] [Indexed: 10/09/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Jiao-tai-wan (JTW) is a traditional Chinese herbal prescription, exerts its therapeutic effects on type 2 diabetes mellitus (T2DM). However, its mechanisms and active components remain unclear. AIM OF THE STUDY To investigate the therapeutic mechanisms of JTW in treating type 2 diabetes mellitus (T2DM), focusing on identifying active components, their targets, and validating efficacy through SRC/PI3K/AKT signaling pathway modulation in vitro and in vivo. MATERIALS AND METHODS Active ingredients were retrieved from the Traditional Chinese Medicine System Pharmacology (TCMSP) and Comprehensive Traditional Chinese Medicine Database (TCMID). Targets for these components were identified using the ChemMapper database based on 3D structural similarity. T2DM-related genes were sourced from the DisGeNET and Gene Expression Omnibus (GEO) databases. Protein-protein interaction (PPI) analysis and functional enrichment analysis were conducted to construct a pathway network of "herbs-active ingredients-candidate targets", identifying core molecular mechanisms and key active ingredients. SwissDock was used for molecular docking to predict ligands for candidate targets. The diabetic models were established using C57BL/6 mice and human liver HepG2 cell lines. Their Effectiveness and key molecules were verified through biochemical detection and immunoblotting. RESULTS Total 30 active compounds, 597 active ingredient targets, 9631 T2DM-related genes, and 521 overlapping candidate targets were found for JTW on T2DM. Go enrichment indicated the core pathways enriched on insulin and glucose metabolism. The auto-docking demonstrated SRC has potential binds to ingredients of JTW. In vivo, JTW can reduce blood glucose, and blood lipid levels, and HOMA-IR, and increase HOMA-ISI levels in T2DM mice with reduced ALT, AST, MDA levels and increased SOD levels. Meanwhile, decreased phosphorylation of SRC, along with increased levels of phosphorylated PI3K, PI3K, and phosphorylated AKT, were observed. HE staining of liver tissues further confirmed that JTW administration improved liver morphology, reducing inflammation and necrosis. In vitro, JTW significantly ameliorates upstream dysregulation by reducing SRC phosphorylation while enhancing phosphorylated PI3K, PI3K, and AKT phosphorylation levels. CONCLUSION JTW may alleviate glucose, insulin resistance, and lipid metabolism disorders by the SRC/PI3K/AKT signaling pathway, that provide a novel view of potential active compounds and essential targets in treating T2DM.
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Affiliation(s)
- Cunsi Ye
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China
| | - Yumeng Li
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China
| | - Jiayin Shi
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China
| | - Liena He
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China
| | - Xinyan Shi
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China
| | - Wei Yang
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China
| | - Wenbo Lei
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China
| | - Shijian Quan
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaopeng Lan
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China.
| | - Shuangquan Liu
- Department of Clinical Laboratory Medicine, Institution of Microbiology and Infectious Diseases, Hunan Province Clinical Research Center for Accurate Diagnosis and Treatment of High-incidence Sexually Transmitted Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan, China.
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Liu R, Wang J, Zhao Y, Zhou Q, Yang X, Gao Y, Li Q, Bai M, Liu J, Liang Y, Zhu X. Study on the mechanism of modified Gegen Qinlian decoction in regulating the intestinal flora-bile acid-TGR5 axis for the treatment of type 2 diabetes mellitus based on macro genome sequencing and targeted metabonomics integration. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 132:155329. [PMID: 38853123 DOI: 10.1016/j.phymed.2023.155329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 12/12/2023] [Accepted: 12/30/2023] [Indexed: 06/11/2024]
Abstract
BACKGROUND Currently, there are many drugs available for the treatment of type 2 diabetes mellitus (T2DM), but most of them cause various side effects due to the need for long-term use. As a traditional Chinese medicine, Gegen Qinlian Decoction (GQD) has shown good efficacy and low side effects in the treatment of T2DM in both clinical and basic research. Based on relevant traditional Chinese medicine theories, dried ginger is innovatively added the formula of traditional GQD to create a modified GQD. This modification reduces the side effects of traditional GQD while exerting its therapeutic effect on T2DM. Previous studies have found that the modified GQD can regulate endoplasmic reticulum stress in the liver, inhibit hepatic gluconeogenesis, protect pancreatic islet β cells, and control blood sugar levels by inhibiting the FXR/neuronal ceramide signaling pathway. GQD can also regulate the intestinal microbiota to achieve therapeutic and protective effects in various gastrointestinal diseases. However, there is no research exploring whether the modified GQD achieves its therapeutic mechanism for T2DM by regulating the intestinal microbiota. PURPOSE To explore the mechanism of modified GQD in the treatment of T2DM based on multi-omics, focusing on its effect on the "intestinal flora bile acid TGR5'' axis. METHODS The T2DM model was established using db/db mice, which were randomly divided into a model group, metformin group, high-dose GQD group, medium-dose GQD group, low-dose GQD group, while m/m mice were used as blank control. The drug intervention lasted for 12 weeks, during which the general conditions, oral glucose tolerance (OGT), blood glucose, and lipid-related indexes were recorded. Additionally, the fasting insulin (FINS), c-peptide, GLP-1 in serum, and cAMP in the ileum were measured by ELISA assay. Furthermore, the composition, abundance, and function of the intestinal microbiota were determined by macro genome sequencing, while bile acid was detected by targeted metabonomics. For histological evaluation, HE staining was used to observe the pathological changes of the ileum and pancreas, and the ultrastructure of the ileum and pancreas was observed by transmission electron microscopy. Apoptosis in the ileum tissue was detected by Tunel staining. Moreover, the mRNA and protein expressions of TGR5, PKA, CREB, PC1/3, GLP-1, and their phosphorylation levels in the ileum were detected by qPCR, immunohistochemistry, and Western blot; The expression of INS in the pancreas was also evaluated using immunohistochemistry. Finally, double immunofluorescence staining was used to detect the co-localization expression of TGR5 and GLP-1, NeuroD1, and GLP-1 in the ileum. RESULTS The modified GQD was found to significantly reduce blood glucose, improve oral glucose tolerance, and blood lipid levels, as well as alleviate the injury of the ileum and pancreas in T2DM mice. Furthermore, modified GQD was found to effectively regulate intestinal flora, improve bile acid metabolism, activate the TRG5/cAMP/PKA/CREB signal pathway, and stimulate GLP-1 secretion. CONCLUSION GQD can regulate the "intestinal flora-bile acid-TGR5" axis and has a therapeutic effect on T2DM in mice.
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Affiliation(s)
- Rong Liu
- Jiangxi University of Chinese Medicine, Nanchang 330004, Jiangxi, PR China; Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China; Research Center of Traditional Chinese Medicine, Gansu Province, Lanzhou 730000, Gansu, PR China
| | - Jiahui Wang
- Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China
| | - Yikun Zhao
- Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China
| | - Qi Zhou
- Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China
| | - Xia Yang
- Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China
| | - Yankui Gao
- Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China
| | - Qin Li
- Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China; Gansu Health Vocational College, Gansu Province, Lanzhou 730000, Gansu, PR China
| | - Min Bai
- Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China
| | - Jiahui Liu
- Research Center of Traditional Chinese Medicine, Gansu Province, Lanzhou 730000, Gansu, PR China
| | - Yonglin Liang
- Gansu University of Chinese Medicine, Lanzhou 730000, Gansu, PR China; Research Center of Traditional Chinese Medicine, Gansu Province, Lanzhou 730000, Gansu, PR China.
| | - Xiangdong Zhu
- Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, PR China.
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Giardinelli S, Meliota G, Mentino D, D’Amato G, Faienza MF. Molecular Basis of Cardiomyopathies in Type 2 Diabetes. Int J Mol Sci 2024; 25:8280. [PMID: 39125850 PMCID: PMC11313011 DOI: 10.3390/ijms25158280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 07/23/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Abstract
Diabetic cardiomyopathy (DbCM) is a common complication in individuals with type 2 diabetes mellitus (T2DM), and its exact pathogenesis is still debated. It was hypothesized that chronic hyperglycemia and insulin resistance activate critical cellular pathways that are responsible for numerous functional and anatomical perturbations in the heart. Interstitial inflammation, oxidative stress, myocardial apoptosis, mitochondria dysfunction, defective cardiac metabolism, cardiac remodeling, hypertrophy and fibrosis with consequent impaired contractility are the most common mechanisms implicated. Epigenetic changes also have an emerging role in the regulation of these crucial pathways. The aim of this review was to highlight the increasing knowledge on the molecular mechanisms of DbCM and the new therapies targeting specific pathways.
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Affiliation(s)
- Silvia Giardinelli
- Department of Medical Sciences, Pediatrics, University of Ferrara, 44121 Ferrara, Italy;
| | - Giovanni Meliota
- Department of Pediatric Cardiology, Giovanni XXIII Pediatric Hospital, 70126 Bari, Italy;
| | - Donatella Mentino
- Pediatric Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari “Aldo Moro”, 70124 Bari, Italy;
| | - Gabriele D’Amato
- Neonatal Intensive Care Unit, Di Venere Hospital, 70012 Bari, Italy;
| | - Maria Felicia Faienza
- Pediatric Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari “Aldo Moro”, 70124 Bari, Italy;
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Seo S, Kim YA, Lee Y, Kim YJ, Kim BJ, An JH, Jin H, Do AR, Park K, Won S, Seo JH. Epigenetic link between Agent Orange exposure and type 2 diabetes in Korean veterans. Front Endocrinol (Lausanne) 2024; 15:1375459. [PMID: 39072272 PMCID: PMC11272593 DOI: 10.3389/fendo.2024.1375459] [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: 01/23/2024] [Accepted: 06/24/2024] [Indexed: 07/30/2024] Open
Abstract
Conflicting findings have been reported regarding the association between Agent Orange (AO) exposure and type 2 diabetes. This study aimed to examine whether AO exposure is associated with the development of type 2 diabetes and to verify the causal relationship between AO exposure and type 2 diabetes by combining DNA methylation with DNA genotype analyses. An epigenome-wide association study and DNA genotype analyses of the blood of AO-exposed and AO-unexposed individuals with type 2 diabetes and that of healthy controls were performed. Methylation quantitative trait locus and Mendelian randomisation analyses were performed to evaluate the causal effect of AO-exposure-identified CpGs on type 2 diabetes. AO-exposed individuals with type 2 diabetes were associated with six hypermethylated CpG sites (cg20075319, cg21757266, cg05203217, cg20102280, cg26081717, and cg21878650) and one hypo-methylated CpG site (cg07553761). Methylation quantitative trait locus analysis showed the methylation levels of some CpG sites (cg20075319, cg20102280, and cg26081717) to be significantly different. Mendelian randomisation analysis showed that CpG sites that were differentially methylated in AO-exposed individuals were causally associated with type 2 diabetes; the reverse causal effect was not significant. These findings reflect the need for further epigenetic studies on the causal relationship between AO exposure and type 2 diabetes.
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Affiliation(s)
- Sujin Seo
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Ye An Kim
- Division of Endocrinology, Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Young Lee
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Jae Hoon An
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Heejin Jin
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Ah Ra Do
- Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, Republic of Korea
| | - Kyungtaek Park
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Sungho Won
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
- Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, Republic of Korea
| | - Je Hyun Seo
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
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Andreadi A, Lodeserto P, Todaro F, Meloni M, Romano M, Minasi A, Bellia A, Lauro D. Nanomedicine in the Treatment of Diabetes. Int J Mol Sci 2024; 25:7028. [PMID: 39000136 PMCID: PMC11241380 DOI: 10.3390/ijms25137028] [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] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/16/2024] [Accepted: 06/25/2024] [Indexed: 07/16/2024] Open
Abstract
Nanomedicine could improve the treatment of diabetes by exploiting various therapeutic mechanisms through the use of suitable nanoformulations. For example, glucose-sensitive nanoparticles can release insulin in response to high glucose levels, mimicking the physiological release of insulin. Oral nanoformulations for insulin uptake via the gut represent a long-sought alternative to subcutaneous injections, which cause pain, discomfort, and possible local infection. Nanoparticles containing oligonucleotides can be used in gene therapy and cell therapy to stimulate insulin production in β-cells or β-like cells and modulate the responses of T1DM-associated immune cells. In contrast, viral vectors do not induce immunogenicity. Finally, in diabetic wound healing, local delivery of nanoformulations containing regenerative molecules can stimulate tissue repair and thus provide a valuable tool to treat this diabetic complication. Here, we describe these different approaches to diabetes treatment with nanoformulations and their potential for clinical application.
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Affiliation(s)
- Aikaterini Andreadi
- Section of Endocrinology and Metabolic Diseases, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy; (P.L.); (F.T.); (M.M.); (A.B.); (D.L.)
- Division of Endocrinology and Diabetology, Department of Medical Sciences, Fondazione Policlinico Tor Vergata, 00133 Rome, Italy; (M.R.); (A.M.)
| | - Pietro Lodeserto
- Section of Endocrinology and Metabolic Diseases, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy; (P.L.); (F.T.); (M.M.); (A.B.); (D.L.)
- Division of Endocrinology and Diabetology, Department of Medical Sciences, Fondazione Policlinico Tor Vergata, 00133 Rome, Italy; (M.R.); (A.M.)
| | - Federica Todaro
- Section of Endocrinology and Metabolic Diseases, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy; (P.L.); (F.T.); (M.M.); (A.B.); (D.L.)
| | - Marco Meloni
- Section of Endocrinology and Metabolic Diseases, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy; (P.L.); (F.T.); (M.M.); (A.B.); (D.L.)
- Division of Endocrinology and Diabetology, Department of Medical Sciences, Fondazione Policlinico Tor Vergata, 00133 Rome, Italy; (M.R.); (A.M.)
| | - Maria Romano
- Division of Endocrinology and Diabetology, Department of Medical Sciences, Fondazione Policlinico Tor Vergata, 00133 Rome, Italy; (M.R.); (A.M.)
| | - Alessandro Minasi
- Division of Endocrinology and Diabetology, Department of Medical Sciences, Fondazione Policlinico Tor Vergata, 00133 Rome, Italy; (M.R.); (A.M.)
| | - Alfonso Bellia
- Section of Endocrinology and Metabolic Diseases, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy; (P.L.); (F.T.); (M.M.); (A.B.); (D.L.)
- Division of Endocrinology and Diabetology, Department of Medical Sciences, Fondazione Policlinico Tor Vergata, 00133 Rome, Italy; (M.R.); (A.M.)
| | - Davide Lauro
- Section of Endocrinology and Metabolic Diseases, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy; (P.L.); (F.T.); (M.M.); (A.B.); (D.L.)
- Division of Endocrinology and Diabetology, Department of Medical Sciences, Fondazione Policlinico Tor Vergata, 00133 Rome, Italy; (M.R.); (A.M.)
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Zhou J, Xu B, He F, Shu Y, Chen X, Liu Z, Sun B, Zhang W. Association of RASGRP1 polymorphism with vascular complications in Chinese diabetic patients with glycemic control and antihypertensive treatment. Cardiovasc Diabetol 2024; 23:166. [PMID: 38730425 PMCID: PMC11088008 DOI: 10.1186/s12933-024-02267-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Studies have shown that RASGRP1 was potently associated with the onset of type 2 diabetes mellitus (T2DM), and RASGRP1 rs7403531 was significantly correlated with islet function in T2DM patients. However, the effect of RASGRP1 polymorphism on blood glucose and blood pressure in T2DM patients after continuous treatment has yet to be fully elucidated. OBJECTIVE This study aimed to explore the association between RASGRP1 genetic polymorphism and cardiovascular complications in T2DM patients, so as to provide more evidence for the individualized treatment of T2DM patients. METHODS We retrospectively analyzed a large-scale multicenter drug clinical study cohort that based on a 2 × 2 factorial (glucose control axis and blood pressure lowering axis) randomized controlled design, with follow-up for 5 years. The major vascular endpoint events included cardiovascular death, non-fatal stroke, coronary heart disease, new-onset or worsening renal disease, and diabetic retinopathy. RASGRP1 rs12593201, rs56254815 and rs7403531 were finally selected as candidate single nucleotide polymorphisms. Mixed linear model and Cox hazard ratio (HR) model were used for data analysis with IBM SPSS (version 20.0 for windows; Chicago, IL). RESULTS Our study enrolled 1357 patients with high-risk diabetes, with a mean follow-up duration of 4.8 years. RASGRP1 rs7403531 was associated with vascular events in hypoglycemic and antihypertensive therapy. Specifically, compared with CC carriers, patients with CT/TT genotype had fewer major microvascular events (HR = 0.41, 95% confidence interval (CI) 0.21-0.80, P = 0.009), and reduced the risk of major eye disease events (HR = 0.44, 95% CI 0.20-0.94, P = 0.03). For glucose lowering axis, CT/TT carriers had a lower risk of secondary nephropathy (HR = 0.48, 95% CI 0.25-0.92, P = 0.03) in patients with standard glycemic control. For blood pressure lowering axis, all cerebrovascular events (HR = 2.24, 95% CI 1.11-4.51, P = 0.025) and stroke events (HR = 2.07, 95% CI 1.03-4.15, P = 0.04) were increased in patients with CC genotype compared to those with CT/TT genotype in the placebo group, respectively. Furthermore, patients with CC genotype showed a reduced risk of major cerebrovascular events in antihypertensive group (HR = 0.36, 95% CI 0.15-0.86, P = 0.021). For RASGRP1 rs56254815, compared with the AA genotype carriers, the systolic blood pressure of AG/GG carriers in the antihypertensive group decreased by 1.5mmhg on average (P = 0.04). In the placebo group, the blood pressure of AG/GG carriers was 1.7mmHg higher than that of AA carriers (P = 0.02). CONCLUSION We found that patients with G allele of RASGRP1 (rs56254815) showed a better antihypertensive therapy efficacy in T2DM patients. The rs7403531 T allele could reduce the risk of major microvascular events and major eye diseases in T2DM patients receiving either hypoglycemic or antihypertensive therapy. Our findings suggest that RASGRP1 genetic polymorphism might predict the cardiovascular complications in T2DM patients.
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Affiliation(s)
- Jiecan Zhou
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China.
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China.
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China.
| | - Bo Xu
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China
| | - Fazhong He
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China
- Department of Pharmacy-Quality control section of medical department, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, Guangdong, China
| | - Yan Shu
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA
| | - Xiaoping Chen
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China
| | - Zhaoqian Liu
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China
| | - Bao Sun
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China.
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China.
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, People's Middle Street, Changsha, 410011, Hunan , P. R. China.
| | - Wei Zhang
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China.
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China.
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China.
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7
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Diawara A, Coulibaly DM, Kone D, Traore MA, Konaté D, Bazi DS, Kassogue O, Sylla D, Fofana FG, Diabaté O, Traore M, Nieantao IA, Keїta K, Diarra M, Smith O, Li J, Cisse C, Abbas TY, Zheng C, Fatumo S, Traore K, Wele M, Diakité M, Doumbia SO, Shaffer JG. Dyslipidemia in Adults with Type 2 Diabetes in a Rural Community in Ganadougou, Mali: A Cross-Sectional Study. JOURNAL OF DIABETES MELLITUS 2024; 14:133-152. [PMID: 38938445 PMCID: PMC11210374 DOI: 10.4236/jdm.2024.142012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
Dyslipidemia is a disorder where abnormally lipid concentrations circulate in the bloodstream. The disorder is common in type 2 diabetics (T2D) and is linked with T2D comorbidities, particularly cardiovascular disease. Dyslipidemia in T2D is typically characterized by elevated plasma triglyceride and low high-density lipoprotein cholesterol (HDL-C) levels. There is a significant gap in the literature regarding dyslipidemia in rural parts of Africa, where lipid profiles may not be captured through routine surveillance. This study aimed to characterize the prevalence and demo-graphic profile of dyslipidemia in T2D in the rural community of Ganadougou, Mali. We performed a cross-sectional study of 104 subjects with T2D in Ganadougou between November 2021 and March 2022. Demographic and lipid profiles were collected through cross-sectional surveys and serological analyses. The overall prevalence of dyslipidemia in T2D patients was 87.5% (91/104), which did not differ by sex (P = .368). High low-density lipoprotein cholesterol (LDL-C) was the most common lipid abnormality (78.9%, [82/104]). Dyslipidemia was associated with age and hypertension status (P = .013 and.036, respectively). High total and high LDL-C parameters were significantly associated with hypertension (P = .029 and .006, respectively). In low-resource settings such as rural Mali, there is a critical need to improve infrastructure for routine dyslipidemia screening to guide its prevention and intervention approaches. The high rates of dyslipidemia observed in Gandadougou, consistent with concomitant increases in cardiovascular diseases in Africa suggest that lipid profile assessments should be incorporated into routine medical care for T2D patients in African rural settings.
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Affiliation(s)
- Abdoulaye Diawara
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Drissa Kone
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mama A. Traore
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Drissa Konaté
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Dicko S. Bazi
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Oumar Kassogue
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Djeneba Sylla
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Oudou Diabaté
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mariam Traore
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Kaly Keїta
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mamadou Diarra
- National Federation of Community Health Associations, Bamako, Mali
| | - Olivia Smith
- Department of Tropical Medicine, Medical Microbiology, & Pharmacology, John A. Burns School of Medicine, University of Hawaii Manoa, Honolulu, USA
| | - Jian Li
- Department Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, USA
| | - Cheickna Cisse
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Talib Yusuf Abbas
- Department of Biotechnology and Computer Science, Burhani College, Mazgaon, Mumbai, India
| | - Crystal Zheng
- School of Medicine, Tulane University, New Orleans, USA
| | - Segun Fatumo
- Medical Research Council, Uganda Virus Research Institute, Entebbe, Uganda
- London School of Hygiene and Tropical Medicine, London, UK
| | - Kassim Traore
- Departement of Biochemistry and Genetics Duquesne, University College of Medicine, Pittsburgh, USA
| | - Mamadou Wele
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mahamadou Diakité
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Seydou O. Doumbia
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Jeffrey G. Shaffer
- Department Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, USA
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Huo W, Hu H, Li T, Yuan L, Zhang J, Feng Y, Wu Y, Fu X, Ke Y, Wang M, Zhang W, Wang L, Chen Y, Gao Y, Li X, Liu J, Huang Z, Hu F, Zhang M, Sun L, Hu D, Zhao Y. Association of methylation risk score with incident type 2 diabetes mellitus: A nested case-control study. J Diabetes 2024; 16:e13512. [PMID: 38062913 PMCID: PMC10940902 DOI: 10.1111/1753-0407.13512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 03/16/2024] Open
Abstract
AIMS To investigate the association of methylation risk score (MRS) and its interactions with environmental factors with type 2 diabetes mellitus (T2DM) risk. METHODS We conducted a nested case-control study with 241 onset cases and 241 matched controls. Conditional logistic regression models were employed to identify risk CpG sites. Simple and weighted MRSs were constructed based on the methylation levels of ATP-binding cassette G1 gene, fat mass and obesity associated gene, potassium voltage-gated channel member 1 gene, and thioredoxin-interacting protein gene previously associated with T2DM to estimate the association of MRS with T2DM risk. Stratified analyses were used to investigate interactions between MRS and environmental factors. RESULTS A total of 10 CpG loci were identified from the aforementioned genes to calculate MRS. After controlling for potential confounding factors, taking tertile 1 as reference, the odds ratios (ORs) and 95% confidence intervals (CIs) for T2DM of tertile 3 was 2.39 (1.36-4.20) for simple MRS and 2.59 (1.45-4.63) for weighted MRS. With per SD score increment in MRS, the OR (95% CI) was 1.66 (1.29-2.14) and 1.60 (1.24-2.08) for simple and weighted MRSs, respectively. J-curved associations were observed between both simple and weighted MRSs and T2DM risks. Additionally, multiplication interactions for smoking and hypertension with simple MRS on the risk of T2DM were found, similarly for smoking and obesity with weighted MRS on the risk of T2DM (all Pinteraction < .05). CONCLUSION Elevated simple and weighted MRSs were associated with increased risk of T2DM. Environmental risk factors may influence the association between MRS and T2DM.
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Affiliation(s)
- Weifeng Huo
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Huifang Hu
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Tianze Li
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Lijun Yuan
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Jinli Zhang
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Yifei Feng
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Yuying Wu
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Xueru Fu
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Yamin Ke
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Mengmeng Wang
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Wenkai Zhang
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Longkang Wang
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Yaobing Chen
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Yajuan Gao
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Xi Li
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Jiong Liu
- Department of Preventive MedicineSchool of Public Health, Shenzhen University Medical SchoolShenzhenChina
| | - Zelin Huang
- Department of Preventive MedicineSchool of Public Health, Shenzhen University Medical SchoolShenzhenChina
| | - Fulan Hu
- Department of Biostatistics and EpidemiologySchool of Public Health, Shenzhen University Medical SchoolShenzhenChina
| | - Ming Zhang
- Department of Biostatistics and EpidemiologySchool of Public Health, Shenzhen University Medical SchoolShenzhenChina
| | - Liang Sun
- Department of Social Medicine and Health Service ManagementCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Dongsheng Hu
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
| | - Yang Zhao
- Department of Epidemiology and BiostatisticsCollege of Public Health, Zhengzhou UniversityZhengzhouChina
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Yan Q, Li D, Jia S, Yang J, Ma J. Novel gene-based therapeutic approaches for the management of hepatic complications in diabetes: Reviewing recent advances. J Diabetes Complications 2024; 38:108688. [PMID: 38281457 DOI: 10.1016/j.jdiacomp.2024.108688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/22/2023] [Accepted: 01/07/2024] [Indexed: 01/30/2024]
Abstract
Diabetes mellitus is a chronic metabolic disorder marked by hyperglycemia and systemic complications, including hepatic dysfunction, significantly contributing to disease progression and morbidity. This article reviews recent advances in gene-based therapeutic strategies targeting hepatic complications in diabetes, offering a promising approach for precision medicine by addressing underlying molecular mechanisms. Traditional treatments for hepatic complications in diabetes often manage symptoms rather than molecular causes, showing limited efficacy. Gene-based therapies are poised to correct dysfunctional pathways and restore hepatic function. Fundamental gene therapy approaches include gene silencing via small interfering RNAs (siRNAs) to target hepatic glucose production, lipid metabolism, and inflammation. Viral vectors can restore insulin sensitivity and reduce oxidative stress in diabetic livers. Genome editing, especially CRISPR-Cas9, allows the precise modification of disease-associated genes, offering immense potential for hepatic complication treatment. Strategies using CRISPR-Cas9 to enhance insulin receptor expression and modulate aberrant lipid regulatory genes are explored. Safety challenges in gene-based therapies, such as off-target effects and immune responses, are discussed. Advances in nanoparticle-based delivery systems and targeted gene editing techniques offer solutions to enhance specificity and minimize adverse effects. In conclusion, gene-based therapeutic approaches are a transformative direction in managing hepatic complications in diabetes. Further research is needed to optimize efficacy, safety, and long-term outcomes. Nevertheless, these innovative strategies promise to improve the lives of individuals with diabetes by addressing hepatic dysfunction's genetic root causes.
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Affiliation(s)
- Qingzhu Yan
- Department of Ultrasound Medicine, the Second Hospital of Jilin University, Changchun 130000, China
| | - Dongfu Li
- Digestive Diseases Center, Department of Hepatopancreatobiliary Medicine, the Second Hospital of Jilin University, Changchun 130000, China.
| | - Shengnan Jia
- Digestive Diseases Center, Department of Hepatopancreatobiliary Medicine, the Second Hospital of Jilin University, Changchun 130000, China.
| | - Junling Yang
- Department of Respiratory Medicine, the Second Hospital of Jilin University, Changchun 130000, China
| | - Jingru Ma
- Department of Clinical Laboratory, the Second Hospital of Jilin University, Changchun 130000, China
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10
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Cando LFT, Quebral EPB, Ong EP, Catral CDM, Relador RJL, Velasco AJD, Alcazar RMU, Reyes NAL, Pilotin EJB, Ornos EDB, Paz-Pacheco E, Tantengco OAG. Current status of diabetes mellitus care and management in the Philippines. Diabetes Metab Syndr 2024; 18:102951. [PMID: 38382166 DOI: 10.1016/j.dsx.2024.102951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/15/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024]
Abstract
AIMS In this paper, we discuss the existing data on the burden of diabetes in the Philippines and present the status of management, prevention, and control of diabetes in the country. METHODS A review of literature was conducted to synthesize the status of diabetes mellitus in the Philippines. RESULTS An estimated 4.3 million Filipinos were diagnosed with diabetes, while 2.8 million remained undiagnosed in 2021. Diabetic retinopathy is a top cause of preventable blindness in Region 3, Philippines. Diabetic nephropathy contributes to 38% of renal disease cases in the Philippines. The 2021 Philippine Guidelines on Periodic Health Examination (PhEX) advocate for the utilization of fasting blood sugar (FBS) as a screening measure for Type 2 Diabetes Mellitus (T2DM) in healthy adults aged 40 years and older or in those with specified risk factors. The alternative option of hemoglobin A1c is (HbA1c) deemed appropriate but comes with a conditional recommendation due to its uneven accessibility across different regions of the country. Treatment guidelines align between the Philippines and the US. Initial medical nutrition therapy involves healthy habits, progressing to pharmacologic treatment if necessary. Financial constraints, seen in limited insurance coverage and high out-of-pocket costs, impede care, amplifying disease impact. The complex diabetes care, encompassing pharmacotherapy, nutrition, exercise, and monitoring, faced challenges during COVID-19 quarantines. CONCLUSION In conclusion, the paper outlines diabetes care principles-screening, diagnostics, and multidisciplinary care-alongside economic implications. Local and national initiatives are discussed to mitigate diabetes trends and reduce its burden in the Philippines.
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Affiliation(s)
- Leslie Faye T Cando
- College of Medicine, University of the Philippines Manila, Manila, Philippines
| | - Elgin Paul B Quebral
- College of Medicine, University of the Philippines Manila, Manila, Philippines; Virology Laboratory, Department of Medical Microbiology, College of Public Health, University of the Philippines Manila, Manila, Philippines
| | - Erika P Ong
- College of Medicine, University of the Philippines Manila, Manila, Philippines
| | | | - Ruth Joy L Relador
- College of Medicine, University of the Philippines Manila, Manila, Philippines
| | | | | | | | - Er Joshua B Pilotin
- College of Medicine, University of the Philippines Manila, Manila, Philippines
| | - Eric David B Ornos
- Department of Medical Microbiology, College of Public Health, University of the Philippines Manila, Manila, Philippines
| | - Elizabeth Paz-Pacheco
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of the Philippines - Philippine General Hospital, Taft Avenue, Manila, Philippines
| | - Ourlad Alzeus G Tantengco
- Department of Physiology, College of Medicine, University of the Philippines Manila, Manila, Philippines; Department of Biology, College of Science, De La Salle University, Manila, Philippines.
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11
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Nguyen Thi YV, Ho TT, Caglayan S, Ramasamy TS, Chu DT. RNA therapeutics for treatment of diabetes. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2024; 203:287-300. [PMID: 38360004 DOI: 10.1016/bs.pmbts.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Diabetes is an ongoing global problem as it affects health of more than 537 million people around the world. Diabetes leaves many serious complications that affect patients and can cause death if not detected and treated promptly. Some of the complications of diabetes include impaired vascular system, increased risk of stroke, neurological diseases that cause pain and numbness, diseases related to the retina leading to blindness, and other complications affecting kidneys, heart failure, muscle weakness, muscle atrophy. All complications of diabetes seriously affect the health of patients. Recently, gene therapy has emerged as a viable treatment strategy for various diseases. DNA and RNA are among the target molecules that can change the structure and function of proteins and are effective methods of treating diseases, especially genetically inherited diseases. RNA therapeutics has attracted deep interest as it has been approved for application in the treatment of functional system disorders such as spinal muscular atrophy, and muscular dystrophy. In this review, we cover the types of RNA therapies considered for treatment of diabetes. In particular, we delve into the mechanism of action of RNA therapies for diabetes, and studies involving testing of these RNA therapies. Finally, we have highlighted the limitations of the current understanding in the mechanism of action of RNA therapies.
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Affiliation(s)
- Yen Vy Nguyen Thi
- Faculty of Applied Sciences, International School, Vietnam National University, Hanoi, Vietnam
| | - Thuy Tien Ho
- Center for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam
| | | | - Thamil Selvee Ramasamy
- Stem Cell Biology Laboratory, Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Dinh-Toi Chu
- Faculty of Applied Sciences, International School, Vietnam National University, Hanoi, Vietnam; Center for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam.
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12
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Ansari MA, Chauhan W, Shoaib S, Alyahya SA, Ali M, Ashraf H, Alomary MN, Al-Suhaimi EA. Emerging therapeutic options in the management of diabetes: recent trends, challenges and future directions. Int J Obes (Lond) 2023; 47:1179-1199. [PMID: 37696926 DOI: 10.1038/s41366-023-01369-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 07/04/2023] [Accepted: 08/17/2023] [Indexed: 09/13/2023]
Abstract
Diabetes is a serious health issue that causes a progressive dysregulation of carbohydrate metabolism due to insufficient insulin hormone, leading to consistently high blood glucose levels. According to the epidemiological data, the prevalence of diabetes has been increasing globally, affecting millions of individuals. It is a long-term condition that increases the risk of various diseases caused by damage to small and large blood vessels. There are two main subtypes of diabetes: type 1 and type 2, with type 2 being the most prevalent. Genetic and molecular studies have identified several genetic variants and metabolic pathways that contribute to the development and progression of diabetes. Current treatments include gene therapy, stem cell therapy, statin therapy, and other drugs. Moreover, recent advancements in therapeutics have also focused on developing novel drugs targeting these pathways, including incretin mimetics, SGLT2 inhibitors, and GLP-1 receptor agonists, which have shown promising results in improving glycemic control and reducing the risk of complications. However, these treatments are often expensive, inaccessible to patients in underdeveloped countries, and can have severe side effects. Peptides, such as glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1), are being explored as a potential therapy for diabetes. These peptides are postprandial glucose-dependent pancreatic beta-cell insulin secretagogues and have received much attention as a possible treatment option. Despite these advances, diabetes remains a major health challenge, and further research is needed to develop effective treatments and prevent its complications. This review covers various aspects of diabetes, including epidemiology, genetic and molecular basis, and recent advancements in therapeutics including herbal and synthetic peptides.
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Affiliation(s)
- Mohammad Azam Ansari
- Department of Epidemic Disease Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia.
| | - Waseem Chauhan
- Department of Hematology, Duke University, Durham, NC, 27710, USA
| | - Shoaib Shoaib
- Department of Biochemistry, Faculty of Medicine, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
| | - Sami A Alyahya
- Wellness and Preventive Medicine Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia
| | - Mubashshir Ali
- USF Health Byrd Alzheimer's Center and Neuroscience Institute, Department of Molecular Medicine, Tampa, FL, USA
| | - Hamid Ashraf
- Rajiv Gandhi Center for Diabetes and Endocrinology, Faculty of Medicine, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
| | - Mohammad N Alomary
- Advanced Diagnostic and Therapeutic Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia.
| | - Ebtesam A Al-Suhaimi
- King Abdulaziz & his Companions Foundation for Giftedness & Creativity, Riyadh, Saudi Arabia.
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13
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Zhao M, Zhang X, Huan Q, Dong M. Metabolism-associated molecular classification of cervical cancer. BMC Womens Health 2023; 23:555. [PMID: 37884919 PMCID: PMC10605340 DOI: 10.1186/s12905-023-02712-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 10/16/2023] [Indexed: 10/28/2023] Open
Abstract
OBJECTIVE This study aimed to explore metabolic abnormalities in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) for metabolism-related genes. METHODS We downloaded expression data for metabolism-related genes, performed differential expression analysis, and applied weighted gene co-expression network analysis (WGCNA) to identify metabolism-related functional modules. We obtained normalised miRNA expression data and identified master methylation regulators for metabolism-related genes. Cox regression of data on metabolism-related genes was performed to screen for genes that affect the prognosis of patients with CESC. Furthermore, we selected key genes for validation. RESULTS Our results identified 3620 metabolism-related genes in CESC, 2493 of which contained related mutations. The co-occurrence of CUBN, KALRN, and HERC1 was related to the prognosis of CESC. The fraction of genome altered (FGA) closely correlated with overall survival. In expression analysis, 374 genes were related to the occurrence and prognosis of CESC. We then identified four metabolic pathway modules in WGCNA. Further analysis revealed that glycolysis/gluconeogenesis was related to endothelial cells and that arachidonic acid metabolism was related to cell proliferation. These four modules were also related to the prognosis of CESC. Among CESC-related metabolic genes, two genes were found to be regulated by microRNAs (miRNAs) and methylation, whereas another two genes were coregulated by miRNAs and mutations. CONCLUSIONS Among metabolism-related genes, 15 genes were related to the prognosis of CESC. The co-occurrence of CUBN/KALRN/HERC1 was associated with CESC prognosis. Glycolysis/gluconeogenesis was related to endothelial cells, and arachidonic acid metabolism was related to cell proliferation.
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Affiliation(s)
- Min Zhao
- School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China.
| | - Xue Zhang
- School of Life Sciences, China Medical University, Shenyang, China
| | - Qing Huan
- Shandong Key Laboratory of Reproductive Medicine, Department of Obstetrics and Gynecology, Shandong Provincial Hospital, Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Meng Dong
- School of Life Sciences, China Medical University, Shenyang, China
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14
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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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15
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Chen X, Shi C, He M, Xiong S, Xia X. Endoplasmic reticulum stress: molecular mechanism and therapeutic targets. Signal Transduct Target Ther 2023; 8:352. [PMID: 37709773 PMCID: PMC10502142 DOI: 10.1038/s41392-023-01570-w] [Citation(s) in RCA: 85] [Impact Index Per Article: 85.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/17/2023] [Accepted: 07/14/2023] [Indexed: 09/16/2023] Open
Abstract
The endoplasmic reticulum (ER) functions as a quality-control organelle for protein homeostasis, or "proteostasis". The protein quality control systems involve ER-associated degradation, protein chaperons, and autophagy. ER stress is activated when proteostasis is broken with an accumulation of misfolded and unfolded proteins in the ER. ER stress activates an adaptive unfolded protein response to restore proteostasis by initiating protein kinase R-like ER kinase, activating transcription factor 6, and inositol requiring enzyme 1. ER stress is multifaceted, and acts on aspects at the epigenetic level, including transcription and protein processing. Accumulated data indicates its key role in protein homeostasis and other diverse functions involved in various ocular diseases, such as glaucoma, diabetic retinopathy, age-related macular degeneration, retinitis pigmentosa, achromatopsia, cataracts, ocular tumors, ocular surface diseases, and myopia. This review summarizes the molecular mechanisms underlying the aforementioned ocular diseases from an ER stress perspective. Drugs (chemicals, neurotrophic factors, and nanoparticles), gene therapy, and stem cell therapy are used to treat ocular diseases by alleviating ER stress. We delineate the advancement of therapy targeting ER stress to provide new treatment strategies for ocular diseases.
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Affiliation(s)
- Xingyi Chen
- Eye Center of Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China
- Hunan Key Laboratory of Ophthalmology, Central South University, 410008, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Chaoran Shi
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Meihui He
- Eye Center of Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China
- Hunan Key Laboratory of Ophthalmology, Central South University, 410008, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Siqi Xiong
- Eye Center of Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China.
- Hunan Key Laboratory of Ophthalmology, Central South University, 410008, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
| | - Xiaobo Xia
- Eye Center of Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China.
- Hunan Key Laboratory of Ophthalmology, Central South University, 410008, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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16
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Chen J, Zhong K, Jing Y, Liu S, Qin S, Peng F, Li D, Peng C. Procyanidin B2: A promising multi-functional food-derived pigment for human diseases. Food Chem 2023; 420:136101. [PMID: 37059021 DOI: 10.1016/j.foodchem.2023.136101] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 03/19/2023] [Accepted: 03/31/2023] [Indexed: 04/16/2023]
Abstract
Natural edible pigments play a paramount part in the food industry. Procyanidin B2 (PB2), one of the most representative naturally occurring edible pigments, is usually isolated from the seeds, fruits, and leaves of lots of common plants, such as grapes, Hawthorn, black soybean, as well as blueberry, and functions as a food additive in daily life. Notably, PB2 has numerous bioactivities and possesses the potential to treat/prevent a wide range of human diseases, such as diabetes mellitus, diabetic complications, atherosclerosis, and non-alcoholic fatty liver disease, and the underlying mechanisms were partially elucidated, including mediating signaling pathways like NF-κB, MAPK, PI3K/Akt, apoptotic axis, and Nrf-2/HO-1. This paper presents a review of the natural sources, bioactivities, and the therapeutic/preventive potential of PB2 and the possible mechanisms, with the aim of promoting the development of PB2 as a functional food and providing references for its clinical application in the treatment of diseases.
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Affiliation(s)
- Junren Chen
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Kexin Zhong
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yiqi Jing
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Shengmeng Liu
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Siqi Qin
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Fu Peng
- Department of Pharmacology, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China.
| | - Dan Li
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Cheng Peng
- State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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Sun Y, Mehmood A, Giampieri F, Battino MA, Chen X. Insights into the cellular, molecular, and epigenetic targets of gamma-aminobutyric acid against diabetes: a comprehensive review on its mechanisms. Crit Rev Food Sci Nutr 2023:1-18. [PMID: 37694998 DOI: 10.1080/10408398.2023.2255666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Diabetes is a metabolic disease due to impaired or defective insulin secretion and is considered one of the most serious chronic diseases worldwide. Gamma-aminobutyric acid (GABA) is a naturally occurring non-protein amino acid commonly present in a wide range of foods. A number of studies documented that GABA has good anti-diabetic potential. This review summarized the available dietary sources of GABA as well as animal and human studies on the anti-diabetic properties of GABA, while also discussing the underlying mechanisms. GABA may modulate diabetes through various pathways such as inhibiting the activities of α-amylase and α-glucosidase, promoting β-cell proliferation, stimulating insulin secretion from β-cells, inhibiting glucagon secretion from α-cells, improving insulin resistance and glucose tolerance, and increasing antioxidant and anti-inflammatory activities. However, further mechanistic studies on animals and human are needed to confirm the therapeutic effects of GABA against diabetes.
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Affiliation(s)
- Yu Sun
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- Institute of Food Physical Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
| | - Arshad Mehmood
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- Institute of Food Physical Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
| | - Francesca Giampieri
- Research Group on Food, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Santander, Spain
| | - Maurizio Antonio Battino
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- Research Group on Food, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Santander, Spain
- Department of Clinical Sciences, Università Politecnica delle Marche, Ancona, Italy
| | - Xiumin Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- Institute of Food Physical Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
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Yousri NA, Albagha OME, Hunt SC. Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study. BMC Med 2023; 21:347. [PMID: 37679740 PMCID: PMC10485955 DOI: 10.1186/s12916-023-03027-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 08/09/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND T2D is of high prevalence in the middle east and thus studying its mechanisms is of a significant importance. Using 1026 Qatar BioBank samples, epigenetics, whole genome sequencing and metabolomics were combined to further elucidate the biological mechanisms of T2D in a population with a high prevalence of T2D. METHODS An epigenome-wide association study (EWAS) with T2D was performed using the Infinium 850K EPIC array, followed by whole genome-wide sequencing SNP-CpG association analysis (> 5.5 million SNPs) and a methylome-metabolome (CpG-metabolite) analysis of the identified T2D sites. RESULTS A total of 66 T2D-CpG associations were identified, including 63 novel sites in pathways of fructose and mannose metabolism, insulin signaling, galactose, starch and sucrose metabolism, and carbohydrate absorption and digestion. Whole genome SNP associations with the 66 CpGs resulted in 688 significant CpG-SNP associations comprising 22 unique CpGs (33% of the 66 CPGs) and included 181 novel pairs or pairs in novel loci. Fourteen of the loci overlapped published GWAS loci for diabetes related traits and were used to identify causal associations of HK1 and PFKFB2 with HbA1c. Methylome-metabolome analysis identified 66 significant CpG-metabolite pairs among which 61 pairs were novel. Using the identified methylome-metabolome associations, methylation QTLs, and metabolic networks, a multi-omics network was constructed which suggested a number of metabolic mechanisms underlying T2D methylated genes. 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) - a triglyceride-associated metabolite, shared a common network with 13 methylated CpGs, including TXNIP, PFKFB2, OCIAD1, and BLCAP. Mannonate - a food component/plant shared a common network with 6 methylated genes, including TXNIP, BLCAP, THBS4 and PEF1, pointing to a common possible cause of methylation in those genes. A subnetwork with alanine, glutamine, urea cycle (citrulline, arginine), and 1-carboxyethylvaline linked to PFKFB2 and TXNIP revealed associations with kidney function, hypertension and triglyceride metabolism. The pathway containing STYXL1-POR was associated with a sphingosine-ceramides subnetwork associated with HDL-C and LDL-C and point to steroid perturbations in T2D. CONCLUSIONS This study revealed several novel methylated genes in T2D, with their genomic variants and associated metabolic pathways with several implications for future clinical use of multi-omics associations in disease and for studying therapeutic targets.
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Affiliation(s)
- Noha A Yousri
- Genetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
- Computer and Systems Engineering, Alexandria University, Alexandria, Egypt.
| | - Omar M E Albagha
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Steven C Hunt
- Genetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
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Di Pietrantonio N, Cappellacci I, Mandatori D, Baldassarre MPA, Pandolfi A, Pipino C. Role of Epigenetics and Metabolomics in Predicting Endothelial Dysfunction in Type 2 Diabetes. Adv Biol (Weinh) 2023; 7:e2300172. [PMID: 37616517 DOI: 10.1002/adbi.202300172] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/15/2023] [Indexed: 08/26/2023]
Abstract
Type 2 diabetes (T2D) is a worldwide health problem and cardiovascular disease (CVD) is a leading cause of morbidity and mortality in T2D patients, making the prevention of CVD onset a major priority. It is therefore crucial to optimize diagnosis and treatment to reduce this burden. Endothelial dysfunction is one of the most important prognostic factors for CVD progression, thus novel approaches to identify the early phase of endothelial dysfunction may lead to specific preventive measures to reduce the occurrence of CVD. Nowadays, multiomics approaches have provided unprecedented opportunities to stratify T2D patients into endotypes, improve therapeutic treatment and outcome and amend the survival prediction. Among omics strategies, epigenetics and metabolomics are gaining increasing interest. Recently, a dynamic correlation between metabolic pathways and gene expression through chromatin remodeling, such as DNA methylation, has emerged, indicating new perspectives on the regulatory networks impacting cellular processes. Thus, a better understanding of epigenetic-metabolite relationships can provide insight into the physiological processes altered early in the endothelium that ultimately head to disease development. Here, recent studies on epigenetics and metabolomics related to CVD prevention potentially useful to identify disease biomarkers, as well as new therapies hopefully targeting the early phase of endothelial dysfunction are highlighted.
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Affiliation(s)
- Nadia Di Pietrantonio
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
| | - Ilaria Cappellacci
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
| | - Domitilla Mandatori
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
| | - Maria Pompea Antonia Baldassarre
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Department of Medicine and Aging Sciences, "G. d'Annunzio" University Chieti-Pescara, Chieti, 66100, Italy
| | - Assunta Pandolfi
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
| | - Caterina Pipino
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
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Wang W, Yao W, Tan Q, Li S, Duan H, Tian X, Xu C, Zhang D. Identification of key DNA methylation changes on fasting plasma glucose: a genome-wide DNA methylation analysis in Chinese monozygotic twins. Diabetol Metab Syndr 2023; 15:159. [PMID: 37461060 PMCID: PMC10351111 DOI: 10.1186/s13098-023-01136-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/09/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Elevated fasting plasma glucose (FPG) levels can increase morbidity and mortality even when it is below the diagnostic threshold of type 2 diabetes mellitus (T2DM). We conducted a genome-wide DNA methylation analysis to detect DNA methylation (DNAm) variants potentially related to FPG in Chinese monozygotic twins. METHODS Genome-wide DNA methylation profiling in whole blood of twins was performed using Reduced Representation Bisulfite Sequencing (RRBS), yielding 551,447 raw CpGs. Association between DNAm of single CpG and FPG was tested using a generalized estimation equation. Differentially methylated regions (DMRs) were identified using comb-P approach. ICE FALCON method was utilized to perform the causal inference. Candidate CpGs were quantified and validated using Sequenom MassARRAY platform in a community population. Weighted gene co-expression network analysis (WGCNA) was conducted using gene expression data from twins. RESULTS The mean age of 52 twin pairs was 52 years (SD: 7). The relationship between DNAm of 142 CpGs and FPG reached the genome-wide significance level. Thirty-two DMRs within 24 genes were identified, including TLCD1, MRPS31P5, CASZ1, and CXADRP3. The causal relationship of top CpGs mapped to TLCD1, MZF1, PTPRN2, SLC6A18, ASTN2, IQCA1, GRIN1, and PDE2A genes with FPG were further identified using ICE FALCON method. Pathways potentially related to FPG were also identified, such as phospholipid-hydroperoxide glutathione peroxidase activity and mitogen-activated protein kinase p38 binding. Three CpGs mapped to SLC6A18 gene were validated in a community population, with a hypermethylated direction in diabetic patients. The expression levels of 18 genes (including SLC6A18 and TLCD1) were positively correlated with FPG levels. CONCLUSIONS We detect many DNAm variants that may be associated with FPG in whole blood, particularly the loci within SLC6A18 gene. Our findings provide important reference for the epigenetic regulation of elevated FPG levels and diabetes.
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Affiliation(s)
- Weijing Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, No. 308 Ningxia Road, Qingdao, 266071 Shandong Province China
| | - Wenqin Yao
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, No. 308 Ningxia Road, Qingdao, 266071 Shandong Province China
- Shandong Province Center for Disease Control and Prevention, Shandong, China
| | - Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Shuxia Li
- Epidemiology and Biostatistics, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Haiping Duan
- Qingdao Municipal Center for Disease Control and Prevention/Qingdao Institute of Preventive Medicine, Qingdao, Shandong China
| | - Xiaocao Tian
- Qingdao Municipal Center for Disease Control and Prevention/Qingdao Institute of Preventive Medicine, Qingdao, Shandong China
| | - Chunsheng Xu
- Qingdao Municipal Center for Disease Control and Prevention/Qingdao Institute of Preventive Medicine, Qingdao, Shandong China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, No. 308 Ningxia Road, Qingdao, 266071 Shandong Province China
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Cai Y, Liu S, Zeng F, Rao Z, Yan C, Xing Q, Chen Y. Exploring the protective effect of Sangggua Drink against type 2 diabetes mellitus in db/db mice using a network pharmacological approach and experimental validation. Heliyon 2023; 9:e18026. [PMID: 37483759 PMCID: PMC10362244 DOI: 10.1016/j.heliyon.2023.e18026] [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: 02/16/2023] [Revised: 06/28/2023] [Accepted: 07/05/2023] [Indexed: 07/25/2023] Open
Abstract
Sanggua Drink (SGD) is an experienced formula for clinical treatment of type 2 diabetes mellitus (T2DM). Network pharmacology and experiments were combined to explore the potential mechanism of action of SGD on T2DM. The material basis and action mechanism of SGD were investigated to reveal the active components of SGD, potential target prediction was conducted from TargetNet, PharmMapper; Cytoscape was used to construct PPI network and component-target-pathway (C-T-P) network diagram to interpret biological processes and enrich action pathways. 54 compounds and 41 key target proteins were screened, and a total of 98 signaling pathways were obtained. In vivo experiments, the levels of p-AMPK (P < 0.01), p-ACC and p-AKT were significantly increased in the mice with SGD intervention compared to the db/db mice, while level of FOXO1 were decreased. The results suggested that SGD might improve insulin resistance and glucose metabolism in T2DM mice by activating the AMPK/Akt signaling pathway.
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Affiliation(s)
- Yu Cai
- Hubei Provincial Research Center for TCM Health Food Engineering, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China
| | - Simin Liu
- Hubei Provincial Research Center for TCM Health Food Engineering, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China
| | - Fei Zeng
- Hubei Provincial Research Center for TCM Health Food Engineering, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China
| | - Zhiwei Rao
- Central Hospital of Xianning, The First Affiliate Hospital of Hubei University of Science, China
| | - Chunchao Yan
- Hubei Provincial Research Center for TCM Health Food Engineering, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China
| | - Qichang Xing
- Hubei Provincial Research Center for TCM Health Food Engineering, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China
| | - Yunzhong Chen
- Hubei Provincial Research Center for TCM Health Food Engineering, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China
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22
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Chen S, Xi M, Gao F, Li M, Dong T, Geng Z, Liu C, Huang F, Wang J, Li X, Wei P, Miao F. Evaluation of mulberry leaves’ hypoglycemic properties and hypoglycemic mechanisms. Front Pharmacol 2023; 14:1045309. [PMID: 37089923 PMCID: PMC10117911 DOI: 10.3389/fphar.2023.1045309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 03/31/2023] [Indexed: 04/08/2023] Open
Abstract
The effectiveness of herbal medicine in treating diabetes has grown in recent years, but the precise mechanism by which it does so is still unclear to both medical professionals and diabetics. In traditional Chinese medicine, mulberry leaf is used to treat inflammation, colds, and antiviral illnesses. Mulberry leaves are one of the herbs with many medicinal applications, and as mulberry leaf study grows, there is mounting evidence that these leaves also have potent anti-diabetic properties. The direct role of mulberry leaf as a natural remedy in the treatment of diabetes has been proven in several studies and clinical trials. However, because mulberry leaf is a more potent remedy for diabetes, a deeper understanding of how it works is required. The bioactive compounds flavonoids, alkaloids, polysaccharides, polyphenols, volatile oils, sterols, amino acids, and a variety of inorganic trace elements and vitamins, among others, have been found to be abundant in mulberry leaves. Among these compounds, flavonoids, alkaloids, polysaccharides, and polyphenols have a stronger link to diabetes. Of course, trace minerals and vitamins also contribute to blood sugar regulation. Inhibiting alpha glucosidase activity in the intestine, regulating lipid metabolism in the body, protecting pancreatic -cells, lowering insulin resistance, accelerating glucose uptake by target tissues, and improving oxidative stress levels in the body are some of the main therapeutic properties mentioned above. These mechanisms can effectively regulate blood glucose levels. The therapeutic effects of the bioactive compounds found in mulberry leaves on diabetes mellitus and their associated molecular mechanisms are the main topics of this paper’s overview of the state of the art in mulberry leaf research for the treatment of diabetes mellitus.
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Affiliation(s)
- Sikai Chen
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Miaomiao Xi
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
- Xi’an TANK Medicinal Biology Institute, Xi’an, China
| | - Feng Gao
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Min Li
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - TaiWei Dong
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Zhixin Geng
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Chunyu Liu
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Fengyu Huang
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Jing Wang
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Xingyu Li
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Peifeng Wei
- Shaanxi University of Chinese Medicine, Xianyang, China
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
- *Correspondence: Peifeng Wei, ; Feng Miao,
| | - Feng Miao
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
- *Correspondence: Peifeng Wei, ; Feng Miao,
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23
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Zhou Y, Suo W, Zhang X, Yang Y, Zhao W, Li H, Ni Q. Targeting epigenetics in diabetic cardiomyopathy: Therapeutic potential of flavonoids. Biomed Pharmacother 2023; 157:114025. [PMID: 36399824 DOI: 10.1016/j.biopha.2022.114025] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/05/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022] Open
Abstract
The pathophysiological mechanisms of diabetic cardiomyopathy have been extensively studied, but there is still a lack of effective prevention and treatment methods. The ability of flavonoids to protect the heart from diabetic cardiomyopathy has been extensively described. In recent years, epigenetics has received increasing attention from scholars in exploring the etiology and treatment of diabetes and its complications. DNA methylation, histone modifications and non-coding RNAs play key functions in the development, maintenance and progression of diabetic cardiomyopathy. Hence, prevention or reversal of the epigenetic alterations that have occurred during the development of diabetic cardiomyopathy may alleviate the personal and social burden of the disease. Flavonoids can be used as natural epigenetic modulators in alternative therapies for diabetic cardiomyopathy. In this review, we discuss the epigenetic effects of different flavonoid subtypes in diabetic cardiomyopathy and summarize the evidence from preclinical and clinical studies that already exist. However, limited research is available on the potential beneficial effects of flavonoids on the epigenetics of diabetic cardiomyopathy. In the future, clinical trials in which different flavonoids exert their antidiabetic and cardioprotective effects through various epigenetic mechanisms should be further explored.
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Affiliation(s)
- Yutong Zhou
- Guang'an Men Hospital, China Academy of Chinese Medicine, Beijing 100053, China
| | - Wendong Suo
- LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Xinai Zhang
- Guang'an Men Hospital, China Academy of Chinese Medicine, Beijing 100053, China
| | - Yanan Yang
- Guang'an Men Hospital, China Academy of Chinese Medicine, Beijing 100053, China
| | - Weizhe Zhao
- College of Traditional Chinese Medicine, Beijing University of Traditional Chinese Medicine, Beijing 100105, China
| | - Hong Li
- LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
| | - Qing Ni
- Guang'an Men Hospital, China Academy of Chinese Medicine, Beijing 100053, China.
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Smail HO, Mohamad DA. Identification of DNA methylation change in TCF7L2 gene in the blood of type 2 diabetes mellitus as a predictive biomarker in Iraq Kurdistan region by using methylation-specific PCR. Endocr Regul 2023; 57:53-60. [PMID: 36966366 DOI: 10.2478/enr-2023-0007] [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] [Indexed: 03/27/2023] Open
Abstract
Objective. Nowadays, type 2 diabetes mellitus (T2D) is the most common chronic endocrine disorder affecting an estimated 5-10% of adults worldwide, and this disease also rapidly increased among the population in the Kurdistan region. This research aims to identify DNA methylation change in the TCF7L2 gene as a possible predictive T2D biomarker. Methods. One hundred and thirteen participants were divided into three groups: diabetic (47), prediabetic (36), and control (30). The study was carried out in patients who visited the private clinical sector between August and December 2021 in Koya city (Iraq Kurdistan region) to determine DNA methylation status using a methylation-specific PCR (MSP) with paired primers for each methylated and non-methylated region. In addition, the X2 Kruskal-Wallis statistical and Wilcoxon signed-rank tests were used, p<0.05 was considered significant. Results. The results showed hypermethylation of DNA in the promoter region in diabetic and prediabetic groups compared to the healthy controls. Different factors affected the DNA methylation level, including body max index, alcohol consumption, family history, and physical activity with the positive Coronavirus. Conclusion. The results obtained indicate that DNA methylation changes in the TCF7L2 promoter region may be used as a potential predictive biomarker of the T2D diagnosis. However, the findings obtained in this study should be supported by additional data.
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Affiliation(s)
- Harem Othman Smail
- 1Department of Biology, Faculty of Science and Health, Koya University, Koya KOY45, Kurdistan Region - F.R. Iraq
- 2Department of Biology, College of Science, University of Sulaimani, Sulaymanyah, Iraq
| | - Dlnya Asaad Mohamad
- 2Department of Biology, College of Science, University of Sulaimani, Sulaymanyah, Iraq
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Duo Y, Song S, Zhang Y, Qiao X, Xu J, Zhang J, Peng Z, Chen Y, Nie X, Sun Q, Yang X, Wang A, Sun W, Fu Y, Dong Y, Lu Z, Yuan T, Zhao W. Predictability of HOMA-IR for Gestational Diabetes Mellitus in Early Pregnancy Based on Different First Trimester BMI Values. J Pers Med 2022; 13:jpm13010060. [PMID: 36675721 PMCID: PMC9866419 DOI: 10.3390/jpm13010060] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 12/24/2022] [Accepted: 12/27/2022] [Indexed: 12/29/2022] Open
Abstract
Objective: To investigate the ability of homeostasis model assessment of insulin resistance (HOMA-IR) in early pregnancy for predicting gestational diabetes mellitus (GDM) in Chinese women with different first-trimester body mass index (FT-BMI) values. Methods: Baseline characteristics and laboratory tests were collected at the first prenatal visit (6−12 weeks of gestation). GDM was diagnosed by a 75 g oral glucose tolerance test (OGTT) at 24−28 weeks of gestation. Partial correlation analysis and binary logistic regression were applied to identify the association between HOMA-IR and GDM. The cutoff points for predicting GDM were estimated using receiver operating characteristic (ROC) curve analysis. Results: Of the total of 1343 women, 300 (22.34%) were diagnosed with GDM in the 24−28 weeks of gestation. Partial correlation analysis and binary logistic regression verified HOMA-IR as a significant risk factor for GDM in the normal weight subgroup (FT-BMI < 24 kg/m2) (adjusted OR 2.941 [95% CI 2.153, 4.016], P < 0.001), overweight subgroup (24.0 kg/m2 ≤ FT-BMI < 28.0 kg/m2) (adjusted OR 3.188 [95% CI 2.011, 5.055], P < 0.001), and obese subgroup (FT-BMI ≥ 28.0 kg/m2) (adjusted OR 9.415 [95% CI 1.712, 51.770], p = 0.01). The cutoff values of HOMA-IR were 1.52 (area under the curve (AUC) 0.733, 95% CI 0.701−0.765, p < 0.001) for all participants, 1.43 (AUC 0.691, 95% CI 0.651−0.730, p < 0.001) for normal weight women, 2.27 (AUC 0.760, 95% CI 0.703−0.818, p < 0.001) for overweight women, and 2.31 (AUC 0.801, 95% CI 0.696−0.907, p < 0.001) for obese women. Conclusions: Increased HOMA-IR in early pregnancy is a risk factor for GDM, and HOMA-IR can be affected by body weight. The cutoff value of HOMA-IR to predict GDM should be distinguished by different FT-BMI values.
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Affiliation(s)
- Yanbei Duo
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Shuoning Song
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Yuemei Zhang
- Department of Obstetrics, Haidian District Maternal and Child Health Care Hospital, Beijing 100080, China
| | - Xiaolin Qiao
- Department of Obstetrics, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Jiyu Xu
- Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Jing Zhang
- Department of Laboratory, Haidian District Maternal and Child Health Care Hospital, Beijing 100080, China
| | - Zhenyao Peng
- Department of Dean’s Office, Haidian District Maternal and Child Health Care Hospital, Beijing 100080, China
| | - Yan Chen
- Department of Obstetrics, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Xiaorui Nie
- Department of Obstetrics, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Qiujin Sun
- Department of Clinical Laboratory, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Xianchun Yang
- Department of Clinical Laboratory, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Ailing Wang
- National Center for Women and Children’s Health, China CDC, Beijing 100013, China
| | - Wei Sun
- Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Yong Fu
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Yingyue Dong
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Zechun Lu
- National Center for Women and Children’s Health, China CDC, Beijing 100013, China
| | - Tao Yuan
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Weigang Zhao
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
- Correspondence:
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Aloke C, Egwu CO, Aja PM, Obasi NA, Chukwu J, Akumadu BO, Ogbu PN, Achilonu I. Current Advances in the Management of Diabetes Mellitus. Biomedicines 2022; 10:2436. [PMID: 36289697 PMCID: PMC9599361 DOI: 10.3390/biomedicines10102436] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 09/19/2022] [Accepted: 09/23/2022] [Indexed: 09/13/2023] Open
Abstract
Diabetes mellitus (DM) underscores a rising epidemic orchestrating critical socio-economic burden on countries globally. Different treatment options for the management of DM are evolving rapidly because the usual methods of treatment have not completely tackled the primary causes of the disease and are laden with critical adverse effects. Thus, this narrative review explores different treatment regimens in DM management and the associated challenges. A literature search for published articles on recent advances in DM management was completed with search engines including Web of Science, Pubmed/Medline, Scopus, using keywords such as DM, management of DM, and gene therapy. Our findings indicate that substantial progress has been made in DM management with promising results using different treatment regimens, including nanotechnology, gene therapy, stem cell, medical nutrition therapy, and lifestyle modification. However, a lot of challenges have been encountered using these techniques, including their optimization to ensure optimal glycemic, lipid, and blood pressure modulation to minimize complications, improvement of patients' compliance to lifestyle and pharmacologic interventions, safety, ethical issues, as well as an effective delivery system among others. In conclusion, lifestyle management alongside pharmacological approaches and the optimization of these techniques is critical for an effective and safe clinical treatment plan.
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Affiliation(s)
- Chinyere Aloke
- Protein Structure-Function and Research Unit, School of Molecular and Cell Biology, Faculty of Science, University of the Witwatersrand, Braamfontein, Johannesburg 2050, South Africa
- Department of Medical Biochemistry, Alex Ekwueme Federal University Ndufu-Alike, Abakaliki PMB 1010, Nigeria
| | - Chinedu Ogbonnia Egwu
- Department of Medical Biochemistry, Alex Ekwueme Federal University Ndufu-Alike, Abakaliki PMB 1010, Nigeria
| | - Patrick Maduabuchi Aja
- Department of Biochemistry, Faculty of Biological Sciences, Ebonyi State University, Abakaliki PMB 53, Nigeria
| | - Nwogo Ajuka Obasi
- Department of Medical Biochemistry, Alex Ekwueme Federal University Ndufu-Alike, Abakaliki PMB 1010, Nigeria
| | - Jennifer Chukwu
- John Hopkins Program on International Education in Gynaecology and Obstetrics, Abuja 900281, Nigeria
| | - Blessing Oluebube Akumadu
- Protein Structure-Function and Research Unit, School of Molecular and Cell Biology, Faculty of Science, University of the Witwatersrand, Braamfontein, Johannesburg 2050, South Africa
| | - Patience Nkemjika Ogbu
- Department of Medical Biochemistry, Alex Ekwueme Federal University Ndufu-Alike, Abakaliki PMB 1010, Nigeria
| | - Ikechukwu Achilonu
- Protein Structure-Function and Research Unit, School of Molecular and Cell Biology, Faculty of Science, University of the Witwatersrand, Braamfontein, Johannesburg 2050, South Africa
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Hubacek JA, Dlouha L, Adamkova V, Dlouha D, Pacal L, Kankova K, Galuska D, Lanska V, Veleba J, Pelikanova T. Genetic risk score is associated with T2DM and diabetes complications risks. Gene X 2022; 849:146921. [PMID: 36174902 DOI: 10.1016/j.gene.2022.146921] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/09/2022] [Accepted: 09/21/2022] [Indexed: 10/14/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a prototypical complex disease with polygenic architecture playing an important role in determining susceptibility to develop the disease (and its complications) in subjects exposed to modifiable lifestyle factors. A current challenge is to quantify the degree of the individual's genetic risk using genetic risk scores (GRS) capturing the results of genome-wide association studies while incorporating possible ethnicity- or population-specific differences. METHODS This study included three groups of T2DM (T2DM-I, N=1,032; T2DM-II, N=353; and T2DM-III, N=399) patients and 2,481 diabetes-free subjects. The status of the microvascular and macrovascular diabetes complications were known for the T2DM-I patients. Overall, 21 single nucleotide polymorphisms (SNPs) were analyzed, and selected subsets were used to determine the GRS (both weighted - wGRS and unweighted - uGRS) for T2DM risk predictions (6 SNPs) and for predicting the risks of complications (7 SNPs). RESULTS The strongest T2DM markers (P<0.0001) were within the genes for TCF7L2 (transcription factor 7-like 2), FTO (fat mass and obesity associated protein) and ARAP1 (ankyrin repeat and PH domain 1). The T2DM-I subjects with uGRS values greater (Odds Ratio, 95% Confidence Interval) than six had at least twice (2.00, 1.72-2.32) the risk of T2DM development (P<0.0001), and these results were confirmed in the independent groups (T2DM-II 1.82, 1.45-2.27; T2DM-III 2.63, 2.11-3.27). The wGRS (>0.6) further improved (P<0.000001) the risk estimations for all three T2DM groups. The uGRS was also a significant predictor of neuropathy (P<0.0001), nephropathy (P<0.005) and leg ischemia (P<0.0005). CONCLUSIONS If carefully selected and specified, GRS, both weighted and unweighted, could be significant predictors of T2DM development, as well as the diabetes complications development.
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Affiliation(s)
- Jaroslav A Hubacek
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic; 3rd Department of Internal Medicine, 1(st) Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Lucie Dlouha
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic; Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic
| | - Vera Adamkova
- Department of Preventive Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic; Czech Technical University of Prague, Faculty of Biomedical Engineering, Prague, Czech Republic
| | - Dana Dlouha
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Lukas Pacal
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Katerina Kankova
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - David Galuska
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Vera Lanska
- Statistical Unit, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Jiri Veleba
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Terezie Pelikanova
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
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de Souza MLM, Borçoi AR, Dutra BAB, Dos Santos Vieira T, Mendes SO, Nascimento IAA, Quaioto BR, Olinda AS, Cunha ER, Freitas FV, Pinheiro JA, Dos Santos JG, Sorroche BP, Arantes LMRB, Sartório CL, da Silva AMA. Lifestyle and NR3C1 exon 1F gene methylation is associated with changes in glucose levels and insulin resistance. Life Sci 2022; 309:120940. [PMID: 36108769 DOI: 10.1016/j.lfs.2022.120940] [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: 05/19/2022] [Revised: 08/03/2022] [Accepted: 09/05/2022] [Indexed: 10/31/2022]
Abstract
AIMS the present study aimed to investigate how glucose and insulin levels may be associated with changes in NR3C1 gene methylation levels in adults. MAIN METHODS 375 volunteers users of the Brazilian Public Unified Health System (SUS) were recruited to assess socioeconomic status, lifestyle, anthropometric data, blood glucose and serum cortisol levels, insulin resistance, and NR3C1 gene methylation assessment. Factors associated with glucose levels and insulin resistance were investigated using multivariate analysis GLzM at 5 % significance (p < 0.05). KEY FINDINGS our results verified that glucose levels and insulin resistance were directly related to NR3C1 gene methylation and age, while not being overweight and obese and no tobacco consumption were indirectly related to glucose levels and insulin resistance. SIGNIFICANCE habits and lifestyle may influence NR3C1 gene regulation, revealing the complexity of environmental impacts on NR3C1 methylation. Furthermore, associated risk factors must be taken into account in epigenetic studies as they directly interfere with blood glucose levels and insulin resistance.
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Affiliation(s)
| | - Aline Ribeiro Borçoi
- Biotechnology/Renorbio Postgraduate Program, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | | | - Tamires Dos Santos Vieira
- Biotechnology/Renorbio Postgraduate Program, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | | | | | - Barbara Risse Quaioto
- Biotechnology/Renorbio Postgraduate Program, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Amanda Sgrancio Olinda
- Biotechnology/Renorbio Postgraduate Program, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Ester Ribeiro Cunha
- Biotechnology/Renorbio Postgraduate Program, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Flávia Vitorino Freitas
- Department of Pharmacy and Nutrition, Universidade Federal do Espírito Santo, Alegre, ES, Brazil
| | - Julia Assis Pinheiro
- Biotechnology/Renorbio Postgraduate Program, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | | | - Bruna Pereira Sorroche
- Molecular Oncology Research Center, Hospital do Câncer de Barretos, Barretos, São Paulo, Brazil
| | | | - Carmem Luíza Sartório
- Biotechnology/Renorbio Postgraduate Program, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
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Hu F, Zhang Y, Qin P, Zhao Y, Liu D, Zhou Q, Tian G, Li Q, Guo C, Wu X, Qie R, Huang S, Han M, Li Y, Hu D, Zhang M. Integrated analysis of probability of type 2 diabetes mellitus with polymorphisms and methylation of SLC30A8 gene: a nested case-control study. J Hum Genet 2022; 67:651-660. [PMID: 35996015 DOI: 10.1038/s10038-022-01067-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/16/2022] [Accepted: 07/11/2022] [Indexed: 11/09/2022]
Abstract
To estimate the associations between single-nucleotide polymorphisms (SNPs) and methylation of SLC30A8 gene and T2DM risk, and the interactions among SNPs, methylation, and environmental factors on T2DM risk. We genotyped 9 SNPs and tested methylation at 46 CpG loci of SLC30A8 in the baseline DNA of 290 T2DM cases and 290 matched controls nested in the Rural Chinese Cohort Study. A conditional logistic regression model was used to estimate the associations between SNPs and SLC30A8 methylation and T2DM risk. Multifactor Dimensionality Reduction analysis was used to estimate the effect of interactions among SNPs, methylation, and environment on T2DM risk. Probability of T2DM was decreased with rs11558471 (GG vs. AA, OR = 0.55, 95% CI 0.32, 0.96), with rs13266634 (TT vs. CC, OR = 0.55, 95% CI 0.32, 0.94), with rs3802177 (AA vs. GG, OR = 0.54, 95%CI 0.31, 0.94), and its probability was increased with rs2466293 of SLC30A8 (GA vs. AA, OR = 1.63, 95% CI 1.08-2.47). Its probability was also significantly associated with methylation of CG9 and CG45 (OR = 0.56 [95% CI 0.33-0.97] and 1.61 [95%CI 1.03--2.51]). T2DM probability was significantly associated with the interaction effect between rs2466293 and hypertension (p = 0.045). T2DM probability was also significantly associated with the combination effects of rs2466293 with BMI, hypertension, and hypertriglyceridemia, with the combination effects of hypertriglyceridemia with rs11558471, rs13266634, and methylation of CG45.
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Affiliation(s)
- Fulan Hu
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yanyan Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Pei Qin
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Qionggui Zhou
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Quanman Li
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Chunmei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xiaoyan Wu
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Li
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Dongsheng Hu
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
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Kupai K, Várkonyi T, Török S, Gáti V, Czimmerer Z, Puskás LG, Szebeni GJ. Recent Progress in the Diagnosis and Management of Type 2 Diabetes Mellitus in the Era of COVID-19 and Single Cell Multi-Omics Technologies. Life (Basel) 2022; 12:1205. [PMID: 36013384 PMCID: PMC9409806 DOI: 10.3390/life12081205] [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: 05/26/2022] [Revised: 07/29/2022] [Accepted: 08/05/2022] [Indexed: 11/17/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is one of the world's leading causes of death and life-threatening conditions. Therefore, we review the complex vicious circle of causes responsible for T2DM and risk factors such as the western diet, obesity, genetic predisposition, environmental factors, and SARS-CoV-2 infection. The prevalence and economic burden of T2DM on societal and healthcare systems are dissected. Recent progress on the diagnosis and clinical management of T2DM, including both non-pharmacological and latest pharmacological treatment regimens, are summarized. The treatment of T2DM is becoming more complex as new medications are approved. This review is focused on the non-insulin treatments of T2DM to reach optimal therapy beyond glycemic management. We review experimental and clinical findings of SARS-CoV-2 risks that are attributable to T2DM patients. Finally, we shed light on the recent single-cell-based technologies and multi-omics approaches that have reached breakthroughs in the understanding of the pathomechanism of T2DM.
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Affiliation(s)
- Krisztina Kupai
- Department of Physiology, Anatomy and Neuroscience, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, 6726 Szeged, Hungary
- Department of Internal Medicine, University of Szeged, Korányi fasor 8, 6720 Szeged, Hungary
| | - Tamás Várkonyi
- Department of Internal Medicine, University of Szeged, Korányi fasor 8, 6720 Szeged, Hungary
| | - Szilvia Török
- Department of Physiology, Anatomy and Neuroscience, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, 6726 Szeged, Hungary
| | - Viktória Gáti
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62, 6726 Szeged, Hungary
| | - Zsolt Czimmerer
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62, 6726 Szeged, Hungary
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Life Science Building, Egyetem tér 1, 4032 Debrecen, Hungary
| | - László G. Puskás
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62, 6726 Szeged, Hungary
- Avidin Ltd., Alsó kikötő sor 11/D, 6726 Szeged, Hungary
| | - Gábor J. Szebeni
- Department of Physiology, Anatomy and Neuroscience, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, 6726 Szeged, Hungary
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62, 6726 Szeged, Hungary
- CS-Smartlab Devices Ltd., Ady E. u. 14, 7761 Kozármisleny, Hungary
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31
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Wang Q, Cao H, Su X, Liu W. Identification of key miRNAs regulating fat metabolism based on RNA-seq from fat-tailed sheep and F2 of wild Argali. Gene X 2022; 834:146660. [PMID: 35680029 DOI: 10.1016/j.gene.2022.146660] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/30/2022] [Accepted: 06/03/2022] [Indexed: 12/26/2022] Open
Abstract
The evolution mechanism of sheep tail fat has not yet been clear, many researches focus on this issue, yet there still many gaps to be filled in the targets and non-coding RNA regulation. In our study, the differential expression mRNAs and miRNAs were detected by RNA-seq and constructed a mRNA-miRNA network related to the lipid deposition in tail of fat-tailed sheep and F2 of Argali with domestic sheep (thin-tailed). Then 6 kinds of tissues from thin-tailed and control group were extracted for function validation of candidate genes and its regulator miRNAs. 125 differentially expressed miRNAs were identified by RNA-seq, and enrichment analysis of their target genes revealed 10 significantly enriched pathways related to lipid metabolism. In these pathways, 126 DE-miRNA target genes were also differentially expression in the same tissues in our previous transcriptomic data. In PPI network, 6 hubgenes (SCD, ACACA, GPD2, ELOVL6, ELOVL5, GPAM) were extracted using the cytoHubba application, and they may be target genes for 3 candidate DE-miRNAs (miR-320d, miR-151b, miR-6715). The validation results of RT-qPCR show: the expression trend of miR-320d is opposite to the target gene SCD, and that of miR-151b and the target gene ACACA are also opposite in 6 tissues, implying that they may have direct targeting relationships. Moreover, the expression of miR-320d in F2 tail fat was significantly higher than that in fat-tailed sheep (P < 0.05), and the expression of SCD in F2 tail fat was extremely significantly lower than that in fat-tailed sheep (P < 0.01). The expression of miR-151b in F2 tail fat and subcutaneous fat was significantly higher than that in fat-tailed sheep (P < 0.05), and the expression of ACACA in F2 subcutaneous fat was significantly lower than that in fat-tailed sheep. miR-320d may directly and negatively regulate tail fat deposition by targeting SCD, while miR-151b may indirectly and negatively regulate tail fat deposition by targeting ACACA.
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Affiliation(s)
- Qiong Wang
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Hang Cao
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Xiaohui Su
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Wujun Liu
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
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González-Rivas JP, Pavlovska I, Polcrova A, Nieto-Martínez R, Mechanick JI. Transcultural Lifestyle Medicine in Type 2 Diabetes Care: Narrative Review of the Literature. Am J Lifestyle Med 2022. [DOI: 10.1177/15598276221095048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Disparities in type 2 diabetes (T2D) care is a global problem across diverse cultures. The Dysglycemia-Based Chronic Disease (DBCD) model promotes early and sustainable interventions along the insulin resistance (stage 1), prediabetes (stage 2), T2D (stage 3), and complications (stage 4) spectrum. In this model, lifestyle medicine is the cornerstone of preventive care to reduce DBCD progression and the socioeconomic/biological burden of disease. A comprehensive literature review, spanning 2000 to 2021, was performed and 55 studies were included examining the effects of lifestyle medicine and their cultural adaptions with different prevention modalities. In stage 1, primordial prevention targets modifiable primary drivers (behavior and environment), unhealthy lifestyles, abnormal adiposity, and insulin resistance with educational and motivational health promotion activities at individual, group, community, and population-based scales. Primary, secondary, and tertiary prevention targets individuals with mild hyperglycemia, severe hyperglycemia, and complications, respectively, using programs that incorporate structured lifestyle interventions. Culturally adapted lifestyle change in primary and secondary prevention improved quality of life and biomarkers, but with a limited impact of tertiary prevention on cardiovascular events. In conclusion, lifestyle medicine with cultural adaptations is an integral part of preventive care in patients with T2D. However, considerable research gaps exist, especially for tertiary prevention.
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Affiliation(s)
- Juan P. González-Rivas
- International Clinical Research Centre (ICRC), St Anne’s University Hospital Brno (FNUSA), Czech Republic
- Departments of Global Health and Population and Epidemiology, Harvard TH Chan School of Public Health. Harvard University, Boston, MA, USA
- Foundation for Clinic, Public Health, and Epidemiology Research of Venezuela (FISPEVEN INC), Caracas, Venezuela
| | - Iuliia Pavlovska
- International Clinical Research Centre (ICRC), St Anne’s University Hospital Brno (FNUSA), Czech Republic
- Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Anna Polcrova
- International Clinical Research Centre (ICRC), St Anne’s University Hospital Brno (FNUSA), Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - Ramfis Nieto-Martínez
- Departments of Global Health and Population and Epidemiology, Harvard TH Chan School of Public Health. Harvard University, Boston, MA, USA
- Foundation for Clinic, Public Health, and Epidemiology Research of Venezuela (FISPEVEN INC), Caracas, Venezuela
- LifeDoc Health, Memphis, TN, USA
| | - Jeffrey I. Mechanick
- he Marie-Josée and Henry R. Kravis Center for Cardiovascular Health at Mount Sinai Heart, and Division of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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33
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Zhu S, Bai Q, Li L, Xu T. Drug repositioning in drug discovery of T2DM and repositioning potential of antidiabetic agents. Comput Struct Biotechnol J 2022; 20:2839-2847. [PMID: 35765655 PMCID: PMC9189996 DOI: 10.1016/j.csbj.2022.05.057] [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: 03/14/2022] [Revised: 05/30/2022] [Accepted: 05/30/2022] [Indexed: 12/19/2022] Open
Abstract
Repositioning or repurposing drugs account for a substantial part of entering approval pipeline drugs, which indicates that drug repositioning has huge market potential and value. Computational technologies such as machine learning methods have accelerated the process of drug repositioning in the last few decades years. The repositioning potential of type 2 diabetes mellitus (T2DM) drugs for various diseases such as cancer, neurodegenerative diseases, and cardiovascular diseases have been widely studied. Hence, the related summary about repurposing antidiabetic drugs is of great significance. In this review, we focus on the machine learning methods for the development of new T2DM drugs and give an overview of the repurposing potential of the existing antidiabetic agents.
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Affiliation(s)
- Sha Zhu
- Key Lab of Preclinical Study for New Drugs of Gansu Province, Institute of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu 730000, PR China
| | - Qifeng Bai
- Key Lab of Preclinical Study for New Drugs of Gansu Province, Institute of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu 730000, PR China
- Corresponding author.
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Goldberg A, Sucic JF, Talley SA. The angiotensin-converting enzyme gene insertion/deletion polymorphism interacts with fear of falling in relation to stepping speed in community-dwelling older adults. Physiother Theory Pract 2022:1-12. [PMID: 35383515 DOI: 10.1080/09593985.2022.2056861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND Despite the association of genetic factors with falls, balance, and lower extremity functioning, interaction of the angiotensin-converting enzyme (ACE) gene insertion/deletion (I/D) polymorphism with fear of falling (FOF) in relation to stepping performance has, to the best of our knowledge, not been investigated in older adults. OBJECTIVE The purpose of this study was to examine the interaction effects of the ACE I/D polymorphism with FOF in relation to stepping performance in older adults. METHODS Eighty-eight community-dwelling adults 60 years or older participated in a cross-sectional observational study. Participants completed tests of rapid and distance stepping, and self-reported FOF (yes/no). Participants provided saliva for ACE genotyping. General linear models evaluated ACE genotype × FOF interaction effects in relation to stepping performance. The α level was set at 0.05. RESULTS The ACE I/D polymorphism exhibited significant interaction effects (p for interactions 0.002 ≤ p ≤ .04) with FOF in relation to stepping speed. Relationships between FOF and stepping speed varied among ACE genotypes. The insertion/insertion (II) genotype was significantly associated (p = .01) with slow stepping in individuals with, but not without FOF (p > .05). CONCLUSION Variation in relationships between FOF and stepping speed among ACE genotypes suggests a role for the ACE I/D polymorphism in modifying relationships between FOF and stepping speed in older adults. The association of the ACE II genotype with slow stepping performance in individuals with, but not without FOF, suggests that older adults with the ACE II genotype and FOF may be at increased risk for poor stepping performance and associated functional declines.
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Affiliation(s)
- Allon Goldberg
- Physical Therapy Department, College of Health Sciences, University of Michigan-Flint, Flint, MI, USA
| | - Joseph F Sucic
- Department of Natural Sciences, College of Arts and Sciences, University of Michigan-Flint, Flint, MI, USA
| | - Susan Ann Talley
- Physical Therapy Department, College of Health Sciences, University of Michigan-Flint, Flint, MI, USA
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35
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Miyachi Y, Miyazawa T, Ogawa Y. HNF1A Mutations and Beta Cell Dysfunction in Diabetes. Int J Mol Sci 2022; 23:ijms23063222. [PMID: 35328643 PMCID: PMC8948720 DOI: 10.3390/ijms23063222] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/14/2022] [Accepted: 03/16/2022] [Indexed: 12/26/2022] Open
Abstract
Understanding the genetic factors of diabetes is essential for addressing the global increase in type 2 diabetes. HNF1A mutations cause a monogenic form of diabetes called maturity-onset diabetes of the young (MODY), and HNF1A single-nucleotide polymorphisms are associated with the development of type 2 diabetes. Numerous studies have been conducted, mainly using genetically modified mice, to explore the molecular basis for the development of diabetes caused by HNF1A mutations, and to reveal the roles of HNF1A in multiple organs, including insulin secretion from pancreatic beta cells, lipid metabolism and protein synthesis in the liver, and urinary glucose reabsorption in the kidneys. Recent studies using human stem cells that mimic MODY have provided new insights into beta cell dysfunction. In this article, we discuss the involvement of HNF1A in beta cell dysfunction by reviewing previous studies using genetically modified mice and recent findings in human stem cell-derived beta cells.
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Weng X, Chen J, Fei Q, Guo X, Liu S, Wen L, Liang H, Guo C, Nie L, Jing C. The association of aldehydes exposure with diabetes mellitus in US population: NHANES 2013-2014. CHEMOSPHERE 2022; 291:133019. [PMID: 34813847 DOI: 10.1016/j.chemosphere.2021.133019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 10/11/2021] [Accepted: 11/19/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND The association of mixed aldehydes exposure with diabetes remains unclear. OBJECTIVE We aimed to explore associations between serum aldehydes concentration and diabetes. METHODS We analyzed associations between aldehydes and diabetes using data from 1795 participants in the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2014 by multiple logistic regression models. Bayesian kernel machine regression (BKMR) was used to evaluate the combined association of serum aldehydes on prediabetes and diabetes. RESULTS Isopentanaldehyde increased the risk of diabetes 2.09 fold (95%CI:1.05-4.16) in the highest tertile, compared to the lowest-tertile concentration after adjusting for covariates, with a p-value for trend (P-t) equal to 0.041, in females. The adjusted OR of prediabetes with a 95% CI for the highest tertile was 0.52(0.28, 0.97) for benzaldehyde in females (P-t = 0.034). We also found associations in the male group between butyraldehyde and diabetes for the second (OR:2.80, 95%CI:1.35-5.79) and third (OR:2.59, 95%CI:1.30-5.17) tertile levels (P-t = 0.010). The risk of diabetes increased 2.55 fold (95%CI: 1.26-5.16, P-t = 0.008), in subjects in the highest tertile of hexanaldehyde concentration. Other aldehydes did not show a statistically significant association with diabetes or prediabetes. The BKMR model showed a positive association of mixed aldehydes with diabetes in males, and butyraldehyde showed a significant positive trend with the highest posterior inclusion probability (PIP = 0.85). Mixed aldehydes increased female's risk from prediabetes to diabetes in which isopentanaldehyde had the highest posterior inclusion probability (PIP = 0.67). CONCLUSIONS The mixed aldehydes might increase the risk of suffering from diabetes in males and accelerate the progression of diabetes in females, in which butyraldehyde and isopentanaldehyde play the most important roles.
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Affiliation(s)
- Xueqiong Weng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Jingmin Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Qiaoyuan Fei
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Xinrong Guo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Shan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Lin Wen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Huanzhu Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Congcong Guo
- Jiaojiang Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China
| | - Lihong Nie
- Department of Endocrine, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Chunxia Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, 510632, Guangdong, China.
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Gadd DA, Hillary RF, McCartney DL, Zaghlool SB, Stevenson AJ, Cheng Y, Fawns-Ritchie C, Nangle C, Campbell A, Flaig R, Harris SE, Walker RM, Shi L, Tucker-Drob EM, Gieger C, Peters A, Waldenberger M, Graumann J, McRae AF, Deary IJ, Porteous DJ, Hayward C, Visscher PM, Cox SR, Evans KL, McIntosh AM, Suhre K, Marioni RE. Epigenetic scores for the circulating proteome as tools for disease prediction. eLife 2022; 11:e71802. [PMID: 35023833 PMCID: PMC8880990 DOI: 10.7554/elife.71802] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 01/11/2022] [Indexed: 11/13/2022] Open
Abstract
Protein biomarkers have been identified across many age-related morbidities. However, characterising epigenetic influences could further inform disease predictions. Here, we leverage epigenome-wide data to study links between the DNA methylation (DNAm) signatures of the circulating proteome and incident diseases. Using data from four cohorts, we trained and tested epigenetic scores (EpiScores) for 953 plasma proteins, identifying 109 scores that explained between 1% and 58% of the variance in protein levels after adjusting for known protein quantitative trait loci (pQTL) genetic effects. By projecting these EpiScores into an independent sample (Generation Scotland; n = 9537) and relating them to incident morbidities over a follow-up of 14 years, we uncovered 137 EpiScore-disease associations. These associations were largely independent of immune cell proportions, common lifestyle and health factors, and biological aging. Notably, we found that our diabetes-associated EpiScores highlighted previous top biomarker associations from proteome-wide assessments of diabetes. These EpiScores for protein levels can therefore be a valuable resource for disease prediction and risk stratification.
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Affiliation(s)
- Danni A Gadd
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Shaza B Zaghlool
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education CityDohaQatar
- Computer Engineering Department, Virginia TechBlacksburgUnited States
| | - Anna J Stevenson
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Yipeng Cheng
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Chloe Fawns-Ritchie
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
- Department of Psychology, University of EdinburghEdinburghUnited Kingdom
| | - Cliff Nangle
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Robin Flaig
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Sarah E Harris
- Department of Psychology, University of EdinburghEdinburghUnited Kingdom
- Lothian Birth Cohorts, University of EdinburghEdinburghUnited Kingdom
| | - Rosie M Walker
- Centre for Clinical Brain Sciences, Chancellor’s Building, University of EdinburghEdinburghUnited Kingdom
| | - Liu Shi
- Department of Psychiatry, University of OxfordOxfordUnited Kingdom
| | - Elliot M Tucker-Drob
- Department of Psychology, The University of Texas at AustinAustinUnited States
- Population Research Center, The University of Texas at AustinAustinUnited States
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental HealthNeuherbergGermany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental HealthNeuherbergGermany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart AllianceMunichGermany
- German Center for Diabetes Research (DZD)NeuherbergGermany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental HealthNeuherbergGermany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart AllianceMunichGermany
- German Center for Diabetes Research (DZD)NeuherbergGermany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental HealthNeuherbergGermany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental HealthNeuherbergGermany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart AllianceMunichGermany
| | - Johannes Graumann
- Scientific Service Group Biomolecular Mass Spectrometry, Max Planck Institute for Heart and Lung Research, W.G. Kerckhoff InstituteBad NauheimGermany
- German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Max Planck Institute of Heart and Lung ResearchBad NauheimGermany
| | - Allan F McRae
- Institute for Molecular Bioscience, University of QueenslandBrisbaneAustralia
| | - Ian J Deary
- Department of Psychology, University of EdinburghEdinburghUnited Kingdom
- Lothian Birth Cohorts, University of EdinburghEdinburghUnited Kingdom
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Caroline Hayward
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of QueenslandBrisbaneAustralia
| | - Simon R Cox
- Department of Psychology, University of EdinburghEdinburghUnited Kingdom
- Lothian Birth Cohorts, University of EdinburghEdinburghUnited Kingdom
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Andrew M McIntosh
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh HospitalEdinburghUnited Kingdom
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education CityDohaQatar
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
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Shen F, Weng S, Tsai M, Su Y, Li S, Chang S, Chen J, Chang Y, Liou C, Lin T, Chuang J, Lin C, Wang P. Mitochondrial haplogroups have a better correlation to insulin requirement than nuclear genetic variants for type 2 diabetes mellitus in Taiwanese individuals. J Diabetes Investig 2022; 13:201-208. [PMID: 34255930 PMCID: PMC8756312 DOI: 10.1111/jdi.13629] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/03/2021] [Accepted: 07/05/2021] [Indexed: 11/30/2022] Open
Abstract
AIMS/INTRODUCTION Identifying diabetes-susceptible genetic variants will help to provide personalized therapy for the management of type 2 diabetes. Previous studies have reported a genetic risk score (GRS), computed by the sum of nuclear DNA (nDNA) risk alleles, that may predict the future requirement for insulin therapy. Although mitochondrial dysfunction has a close association with insulin resistance (IR), there are few studies investigating whether genetic variants of mitochondrial DNA (mtDNA) will affect the clinical characteristics of type 2 diabetes. MATERIALS AND METHODS Mitochondrial haplogroups were determined using mtDNA whole genome next generation sequencing and 13 single nucleotide polymorphisms (SNPs) in nDNA susceptibility loci of 13 genes in 604 Taiwanese subjects with type 2 diabetes. A GRS of nDNA was computed by summation of the number of risk alleles. The correlation between the mtDNA haplogroup and the clinical characteristics of type 2 diabetes was assessed by logistic regression analysis. The results were compared with the GRS subgroups for the risk of insulin requirement. RESULTS Mitochondrial haplogroups modulate the clinical characteristics of type 2 diabetes, in which patients harboring haplogroup D4, compared with those harboring non-D4 haplotypes, were less prone to require insulin treatment, after adjusting for age, gender, and diabetes duration. However, there was no association between insulin requirement and GRS calculated from nuclear genetic variants. CONCLUSIONS Mitochondrial haplogroups, but not nuclear genetic variants, have a better association with the insulin requirement. The results highlight the role of mitochondria in the management of common metabolic diseases.
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Affiliation(s)
- Feng‐Chih Shen
- Division of Endocrinology and MetabolismDepartment of Internal MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
- Center for Mitochondrial Research and MedicineKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
| | - Shao‐Wen Weng
- Division of Endocrinology and MetabolismDepartment of Internal MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Meng‐Han Tsai
- Department of NeurologyKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Yu‐Jih Su
- Center for Mitochondrial Research and MedicineKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
- Division of Rheumatology, Allergy, and ImmunologyDepartment of Internal MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Sung‐Chou Li
- Genomics & Proteomics Core LaboratoryDepartment of Medical ResearchKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
| | - Shun‐Jen Chang
- Department of Kinesiology, Health and Leisure StudiesNational University of KaohsiungTaiwan
| | - Jung‐Fu Chen
- Division of Endocrinology and MetabolismDepartment of Internal MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Yen‐Hsiang Chang
- Center for Mitochondrial Research and MedicineKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
- Department of Nuclear MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Chia‐Wei Liou
- Center for Mitochondrial Research and MedicineKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
- Department of NeurologyKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Tsu‐Kung Lin
- Center for Mitochondrial Research and MedicineKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
- Department of NeurologyKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Jiin‐Haur Chuang
- Center for Mitochondrial Research and MedicineKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
- Department of SurgeryKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Ching‐Yi Lin
- Division of Endocrinology and MetabolismDepartment of Internal MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
- Center for Mitochondrial Research and MedicineKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
| | - Pei‐Wen Wang
- Division of Endocrinology and MetabolismDepartment of Internal MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
- Center for Mitochondrial Research and MedicineKaohsiung Chang Gung Memorial HospitalKaohsiungTaiwan
- Department of Nuclear MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
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De Pergola G, Castellana F, Zupo R, De Nucci S, Panza F, Castellana M, Lampignano L, Di Chito M, Triggiani V, Sardone R, Giannelli G. A family history of type 2 diabetes as a predictor of fatty liver disease in diabetes-free individuals with excessive body weight. Sci Rep 2021; 11:24084. [PMID: 34916558 PMCID: PMC8677812 DOI: 10.1038/s41598-021-03583-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 12/06/2021] [Indexed: 12/12/2022] Open
Abstract
Comprehensive screening for non-alcoholic fatty liver disease (NAFLD) may help prompt clinical management of fatty liver disease. A family history, especially of diabetes, has been little studied as a predictor for NAFLD. We characterized the cross-sectional relationship between a family history of type 2 diabetes (FHT2D) and NAFLD probability in 1185 diabetes-free Apulian (Southern-Italy) subjects aged > 20 years with overweight or obesity not receiving any drug or supplementation. Clinical data and routine biochemistry were analysed. NAFLD probability was defined using the fatty liver index (FLI). A first-degree FHT2D was assessed by interviewing subjects and assigning a score of 0, 1, or 2 if none, only one, or both parents were affected by type 2 diabetes mellitus (T2DM). Our study population featured most females (70.9%, N = 840), and 48.4% (N = 574) of the sample had first-degree FHT2D. After dividing the sample by a FHT2D, we found a higher BMI, Waist Circumference (WC), and diastolic blood pressure shared by FHT2D subjects; they also showed altered key markers of glucose homeostasis, higher triglyceride levels, and worse liver function. FLI scores were significantly lower in subjects without a first-degree FHT2D. After running logistic regression models, a FHT2D was significantly associated with the NAFLD probability, even adjusting for major confounders and stratifying by age (under and over 40 years of age). A FHT2D led to an almost twofold higher probability of NAFLD, regardless of confounding factors (OR 2.17, 95% CI 1.63 to 2.89). A first-degree FHT2D acts as an independent determinant of NAFLD in excess weight phenotypes, regardless of the age group (younger or older than 40 years). A NAFLD risk assessment within multidimensional screening might be useful in excess weight subjects reporting FHT2D even in the absence of diabetes.
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Affiliation(s)
- Giovanni De Pergola
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy.
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Sara De Nucci
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Francesco Panza
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Marco Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Martina Di Chito
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Vincenzo Triggiani
- Section of Internal Medicine, Geriatrics, Endocrinology, and Rare Disease, Interdisciplinary Department of Medicine, School of Medicine, University of Bari, 70124, Bari, Italy
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
| | - Gianluigi Giannelli
- Scientific Direction, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, 70013, Castellana Grotte, BA, Italy
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Tang C, Liu Y, Liu S, Yang C, Chen L, Tang F, Wang F, Zhan L, Deng H, Zhou W, Lin Y, Yuan X. Curcumin and Its Analogs as Potential Epigenetic Modulators: Prevention of Diabetes and Its Complications. Pharmacology 2021; 107:1-13. [PMID: 34915505 DOI: 10.1159/000520311] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/18/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND The pathobiology of diabetes and associated complications has been widely researched in various countries, but effective prevention and treatment methods are still insufficient. Diabetes is a metabolic disorder of carbohydrates, fats, and proteins caused by an absence of insulin or insulin resistance, which mediates an increase of oxidative stress, release of inflammatory factors, and macro- or micro-circulation dysfunctions, ultimately developing into diverse complications. SUMMARY In the last decade through pathogenesis research, epigenetics has been found to affect metabolic diseases. Particularly, DNA methylation, histone acetylation, and miRNAs promote or inhibit diabetes and complications by regulating the expression of related factors. Curcumin has a wide range of beneficial pharmacological activities, including anti-inflammatory, anti-oxidation, anticancer, anti-diabetes, anti-rheumatism, and increased immunity. Key Messages: In this review, we discuss the effects of curcumin and analogs on diabetes and associated complications through epigenetics, and we summarize the preclinical and clinical researches for curcumin and its analogs in terms of management of diabetes and associated complications, which may provide an insight into the development of targeted therapy of endocrine diseases.
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Affiliation(s)
- Chunyin Tang
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Yantao Liu
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Shilin Liu
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Chunsong Yang
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Li Chen
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Fengru Tang
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Fang Wang
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Lin Zhan
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Hong Deng
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Wei Zhou
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Yunzhu Lin
- Department of Pharmacy, Evidence-based Pharmacy Center, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, China
| | - Xiaohuan Yuan
- Heilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical University, Mudanjiang, China
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Hu F, Zhang Y, Qin P, Zhao Y, Liu D, Zhou Q, Tian G, Li Q, Guo C, Wu X, Qie R, Huang S, Han M, Li Y, Zhang M, Hu D. Integrated analysis of probability of type 2 diabetes mellitus with polymorphisms and methylation of KCNQ1 gene: A nested case-control study. J Diabetes 2021; 13:975-986. [PMID: 34260825 DOI: 10.1111/1753-0407.13212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 06/17/2021] [Accepted: 07/07/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND To estimate the associations between single-nucleotide polymorphisms (SNPs) and methylation of KCNQ1 gene and type 2 diabetes mellitus (T2DM) risk and the interactions among SNPs, methylation, and environmental factors on T2DM risk. METHODS We genotyped five SNPs and tested methylation at 39 CpG loci of KCNQ1 in 290 T2DM cases and 290 matched controls nested in the Rural Chinese Cohort Study. Conditional logistic regression model was used to estimate the associations between SNPs and KCNQ1 methylation and T2DM risk. Multifactor dimensionality reduction (MDR) analysis was used to estimate the effect of the interactions SNPs-SNPs, SNPs-methylation, methylation-methylation and SNPs, and methylation-environment on T2DM risk. RESULTS Probability of T2DM was decreased with rs2283228 of KCNQ1 (CA vs AA, odds ratio [OR] = 0.65, 95% confidence interval [CI] 0.42-0.99). T2DM probability was significantly increased with rs2237895 combined with hypertriglyceridemia (OReg = 2.76, 95% CI 1.35-5.62), with hypertension (OReg = 2.23, 95% CI 1.25-3.98), and with body mass index (BMI; OReg = 1.93, 95% CI 1.12-3.34). T2DM probability was associated with methylation of CG11 and CG41 (OR = 1.89, 95% CI 1.23-2.89, P = .003). It was significantly associated with the interaction between BMI, hypertriglyceridemia, and CG5 methylation (P = .028 and .028), and the combined effects of CG11 with hypertriglyceridemia and hypertension. On MDR analysis, no significant interaction was observed. CONCLUSION T2DM probability was reduced 35% with rs2283228 polymorphism. It was associated with rs2237895 combined with hypertension, with BMI and with hypertriglyceridemia. The methylation at two CpG loci of KCNQ1 significantly increased T2DM risk by 89%.
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Affiliation(s)
- Fulan Hu
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Yanyan Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Pei Qin
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Qionggui Zhou
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Quanman Li
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chunmei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoyan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yang Li
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Ming Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Dongsheng Hu
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
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Jayaraman S, Roy A, Vengadassalapathy S, Sekar R, Veeraraghavan VP, Rajagopal P, Rengasamy G, Mukherjee R, Sekar D, Manjunathan R. An Overview on the Therapeutic Function of Foods Enriched with Plant Sterols in Diabetes Management. Antioxidants (Basel) 2021; 10:antiox10121903. [PMID: 34943006 PMCID: PMC8750040 DOI: 10.3390/antiox10121903] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 12/25/2022] Open
Abstract
Diabetes is one of the most significant health issues across the world. People identified with diabetes are more vulnerable to various infections and are at a greater risk of developing cardiovascular diseases. The plant-based food we consume often contains many sterol-based bioactive compounds. It is well documented that these compounds could effectively manage the processes of insulin metabolism and cholesterol regulation. Insulin resistance followed by hyperglycemia often results in oxidative stress level enhancement and increased reactive oxygen species production. At the molecular level, these changes induce apoptosis in pancreatic cells and hence lead to insulin insufficiency. Studies have proved that plant sterols can lower inflammatory and oxidative stress damage connected with DNA repair mechanisms. The effective forms of phyto compounds are polyphenols, terpenoids, and thiols abundant in vegetables, fruits, nuts, and seeds. The available conventional drug-based therapies for the prevention and management of diabetes are time-consuming, costly, and with life-threatening side effects. Thereby, the therapeutic management of diabetes with plant sterols available in our daily diet is highly welcome as there are no side effects. This review intends to offer an overview of the present scenario of the anti-diabetic compounds from food ingredients towards the therapeutic beneficial against diabetes.
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Affiliation(s)
- Selvaraj Jayaraman
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Chennai 600077, India
| | - Anitha Roy
- Department of Pharmacology, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Chennai 600077, India
| | - Srinivasan Vengadassalapathy
- Department of Pharmacology, Saveetha Medical College and Hospital, Saveetha Institute of Medical & Technical Sciences, Chennai 602105, India
| | - Ramya Sekar
- Department of Oral Pathology, Meenakshi Ammal Dental College and Hospitals, Chennai 600095, India
| | - Vishnu Priya Veeraraghavan
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Chennai 600077, India
| | - Ponnulakshmi Rajagopal
- Department of Central Research Laboratory, Meenakshi Ammal Dental College and Hospitals, Chennai 600095, India
| | - Gayathri Rengasamy
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Chennai 600077, India
| | - Raktim Mukherjee
- Shree PM Patel Institute of PG Studies and Research in Science, Sardar Patel University, Anand 388001, India
| | - Durairaj Sekar
- Centre for Cellular and Molecular Research, Saveetha Dental College and Hospitals, Saveetha Institute of Medical & Technical Sciences (SIMATS), Saveetha University, Chennai 600077, India
| | - Reji Manjunathan
- Multi-Disciplinary Research Unit, Chengalpattu Government Medical College, Chengalpattu 60300, India
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Zhou X, Guo W, Yin H, Chen J, Ma L, Yang Q, Zhao Y, Li S, Liu W, Li H. Whole Exome Sequencing Study in a Family with Type 2 Diabetes Mellitus. Int J Gen Med 2021; 14:8217-8229. [PMID: 34815695 PMCID: PMC8605871 DOI: 10.2147/ijgm.s335090] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 10/01/2021] [Indexed: 12/25/2022] Open
Abstract
Background Type 2 diabetes mellitus (T2DM) is characterized by β cell decline in the pancreas and insulin resistance. This study aimed to investigate the possible pathogenic gene mutation sites of T2DM patients using whole exome sequencing. Materials and Methods We recruited a Chinese family with 3-generation history of diabetes. The whole blood genomic DNA of seven members of the family was extracted and sent for whole exome sequencing. Biological information was analyzed with in silico prediction methods, including significance analysis of single nucleotide polymorphism (SNP)/Indel site, and analysis of specific SNP/Indel proteins and their potential mechanisms. Results Six out of seven members of the family were diagnosed with diabetes. All DNA samples (23 kb) met quality requirements of library construction. Clean reads of each sample demonstrated high Q20 and Q30 (>80%), indicating good sequencing quality of sequencing data. A total of 130,693 SNPs and 15,928 Indels were found in DNA samples. A total of 22 significant SNPs and Indel mutation sites located on 19 genes were obtained, including ZCCHC3, SYN2, RPL14, SRRD, AMD1, CAMKK2, ZNF787, RNF157, NPIPB15, ALG3, KIAA0040, MAST2, ESRRA, C8orf58, PNLIPRP1, DACH1, MACC1, CAPN9 and DMKN. An rs2305205 mutation of PNLIPRP1 gene and an rs778701848 mutation of CAMKK2 gene may be associated with the pathogenesis of T2DM in this family. Conclusion Exons of these diabetic patients demonstrated an rs2305205 mutation in PNLIPRP1 gene and an rs778701848 mutation in CAMKK2 gene. These two mutations might promote T2DM occurrence through reducing sensitivity of peripheral tissue to insulin and reducing insulin secretion.
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Affiliation(s)
- Xiaowei Zhou
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Weichang Guo
- Department of Physical Education, Kunming Medical University, Kunming, People's Republic of China
| | - Hejia Yin
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Jie Chen
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Liju Ma
- Department of Clinical Laboratory, First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Qiuping Yang
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Yan Zhao
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Shaoyou Li
- Department of NHC Key Laboratory of Drug Addiction Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Weijun Liu
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
| | - Huifang Li
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China
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Huang Q, Chen H, Xu F, Liu C, Wang Y, Tang W, Chen L. Relationship of microRNA locus with type 2 diabetes mellitus: a case-control study. Endocr Connect 2021; 10:1393-1402. [PMID: 34596578 PMCID: PMC8630770 DOI: 10.1530/ec-21-0261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 09/30/2021] [Indexed: 12/11/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is considered as a metabolic disease with hyperglycemia. Accumulating investigations have explored the important role of hereditary factors for T2DM occurrence. Some functional microRNA (miR) polymorphisms may affect their interactions with target mRNAs and result in an aberrant expression. Thus, miR variants might be considered as a biomarker of the susceptibility of T2DM. In this study, we recruited 502 T2DM cases and 782 healthy subjects. We selected miR-146a rs2910164 C>G, miR-196a2 rs11614913 T>C and miR-499 rs3746444 A>G loci and carried out an investigation to identify whether these miR loci could influence T2DM occurrence. In this investigation, a Bonferroni correction was harnessed. After adjustment, we found that rs2910164 SNP was a protective factor for T2DM (GG vs CC/CG: adjusted P = 0.010), especially in never drinking (GG vs CC/CG: adjusted P = 0.001) and BMI ≥24 kg/m2 (GG vs CC/CG: adjusted P = 0.002) subgroups. We also identified that rs11614913 SNP was a protective factor for T2DM in smoking subjects (CC/TC vs TT: adjusted P = 0.002). When we analyzed an interaction of SNP-SNP with the susceptibility tof T2DM, rs11614913/rs3746444, rs2910164/rs3746444 and rs11614913/rs2910164 combinations were not associated with the risk of T2DM. In summary, this study highlights that rs2910164 SNP decreases the susceptibility of T2DM, especially in BMI ≥24 kg/m2 and never drinking subgroups. In addition, we also identify that rs11614913 C allele decreases the susceptibility of T2DM significantly in smoking subgroup.
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Affiliation(s)
- Qiuyu Huang
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, Fujian Province, China
- Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, Fujian Province, China
| | - Hanshen Chen
- Department of Anesthesiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province, China
- Correspondence should be addressed to W Tang or L Chen: or
| | - Fan Xu
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, Fujian Province, China
- Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, Fujian Province, China
| | - Chao Liu
- Department of Cardiothoracic Surgery, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Yafeng Wang
- Department of Cardiology, The People’s Hospital of Xishuangbanna Dai Autonomous Prefecture, Jinghong, Yunnan Province, China
| | - Weifeng Tang
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Nanjing University Medical School, Jiangsu Province, China
- Correspondence should be addressed to W Tang or L Chen: or
| | - Liangwan Chen
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, Fujian Province, China
- Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, Fujian Province, China
- Correspondence should be addressed to W Tang or L Chen: or
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Investigating the Effects of Dapagliflozin on Cardiac Function, Inflammatory Response, and Cardiovascular Outcome in Patients with STEMI Complicated with T2DM after PCI. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:9388562. [PMID: 34691230 PMCID: PMC8536432 DOI: 10.1155/2021/9388562] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 09/24/2021] [Indexed: 11/29/2022]
Abstract
Objective To explore the effect of dapagliflozin on cardiac function, inflammation, and cardiovascular outcome in patients with ST-segment elevation myocardial infarction (STEMI) combined with type 2 diabetes (T2DM) after percutaneous coronary intervention (PCI). Methods 70 patients with STEMI and T2DM were divided into the control group (n = 35) and the observation group (n = 35). Before surgery, patients in both groups were given conventional treatments such as coronary expansion, antiplatelet, anticoagulation, and thrombolysis, and PCI was performed. After the operation, both groups were given conventional antiplatelet, anticoagulation, lipid-lowering, and hypoglycemic treatments. On this basis, the observation group was treated with dapagliflozin tablets for 24 weeks. We observe and compare the left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD) and left ventricular ejection fraction (LVEF), myocardial enzyme spectrum, inflammatory reaction, and occurrence of adverse cardiovascular events (MACE) of the two groups of patients before and after treatment. Results After treatment, the LVEDD and LVESD of the two groups were lower than those before treatment, and the observation group was lower than the control group (P < 0.05). The LVEF of both groups was higher than that before treatment, and the observation group was higher than the control group (P < 0.05). After treatment, the levels of two groups' patients' creatine kinase (CK), creatine kinase isoenzyme (CK-MB), and troponin I (cTnI) were all lower than those before treatment, and the observation group patients were all lower than the control group (P < 0.05). After treatment, the levels of serum myeloperoxidase (MPO), C-reactive protein (CRP), interleukin 6 (IL-6), and tumor necrosis factor-α (TNF-α) in the two groups were all lower than those before treatment, and the observation group patients were all lower than the control group (P < 0.05). After treatment, there was no statistical difference between the two groups of patients in cardiogenic death, recurrent myocardial infarction, and other adverse cardiovascular events (P > 0.05). But, the incidence of severe arrhythmia and heart failure in the observation group were both lower than those in the control group (P < 0.05). Kaplan–Meier survival curve analysis showed that the median survival time without MACE in the observation group was higher than that in the control group (P < 0.05). Conclusion Dapagliflozin treatment for patients with STEMI combined with T2DM after PCI can improve cardiac function to certain extent, reduce inflammation, and will reduce the incidence of adverse cardiovascular outcomes.
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Insulin Resistance and Cancer: In Search for a Causal Link. Int J Mol Sci 2021; 22:ijms222011137. [PMID: 34681797 PMCID: PMC8540232 DOI: 10.3390/ijms222011137] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/11/2021] [Accepted: 10/12/2021] [Indexed: 12/12/2022] Open
Abstract
Insulin resistance (IR) is a condition which refers to individuals whose cells and tissues become insensitive to the peptide hormone, insulin. Over the recent years, a wealth of data has made it clear that a synergistic relationship exists between IR, type 2 diabetes mellitus, and cancer. Although the underlying mechanism(s) for this association remain unclear, it is well established that hyperinsulinemia, a hallmark of IR, may play a role in tumorigenesis. On the other hand, IR is strongly associated with visceral adiposity dysfunction and systemic inflammation, two conditions which favor the establishment of a pro-tumorigenic environment. Similarly, epigenetic modifications, such as DNA methylation, histone modifications, and non-coding RNA, in IR states, have been often associated with tumorigenesis in numerous types of human cancer. In addition to these observations, it is also broadly accepted that gut microbiota may play an intriguing role in the development of IR-related diseases, including type 2 diabetes and cancer, whereas potential chemopreventive properties have been attributed to some of the most commonly used antidiabetic medications. Herein we provide a concise overview of the most recent literature in this field and discuss how different but interrelated molecular pathways may impact on tumor development.
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Wang L, Mao Z, Liu X, Wei D, Liu P, Nie L, Fan K, Kang N, Song Y, Xu Q, Wang J, Wang M, Liao W, Jing T, Li W, Wang C, Huo W. Combined effects of progesterone and SOCS3 DNA methylation on T2DM: a case-control study. Clin Epigenetics 2021; 13:181. [PMID: 34565450 PMCID: PMC8474856 DOI: 10.1186/s13148-021-01172-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 09/14/2021] [Indexed: 02/28/2023] Open
Abstract
BACKGROUND This study aims to investigate the independent and combined effects of progesterone and suppressor of cytokine signaling (SOCS)-3 DNA methylation on type 2 diabetes mellitus (T2DM) among men and postmenopausal women in rural China. METHODS A case-control study with 914 participants (329 T2DM, 585 controls) was conducted. Serum progesterone was detected with liquid chromatography-tandem mass spectrometry. DNA methylation of SOCS3 was determined by MethylTarget™. Linear regression was applied to evaluate the associations of progesterone and SOCS3 methylation with marks of glucose metabolism. Logistic regression was employed to investigate the independent and combined effects of progesterone and SOCS3 methylation with T2DM in men and postmenopausal women. RESULTS After multiple adjustment, progesterone was positively associated with T2DM in both men (odds ratio (OR) (95% confidence interval (CI)): 2.77 (1.79, 4.29)) and postmenopausal women (OR (95% CI): 1.85 (1.26, 2.72)). Methylation level of Chr17:76,356,190 or Chr17:76,356,199 (SOCS3) was negatively associated with T2DM in both men (OR (95% CI): 0.58 (0.39, 0.86) or 0.27 (0.14, 0.51)) and postmenopausal women (OR (95% CI): 0.43 (0.29, 0.65) or 0.53 (0.28, 0.99)). Subjects with high progesterone and low Chr17:76,356,190 or Chr17:76,356,199 methylation were more susceptible to have a higher prevalence of T2DM (men: OR (95% CI): 5.20 (2.49, 10.85) or 5.62 (2.74, 11.54); postmenopausal women: OR (95% CI): 3.66 (1.85, 7.26) or 3.27 (1.66, 6.45)). CONCLUSIONS The independent and combined effects of progesterone and SOCS3 methylation on T2DM were found among men and postmenopausal women, suggesting that ensuring low levels of progesterone and high methylation of SOCS3 could reduce the prevalence of T2DM. Trial registration The Chinese Clinical Trial registration: The Henan Rural Cohort Study, ChiCTR-OOC-15006699. Registered 06 July 2015, http://www.chictr.org.cn/showproj.aspx?proj=11375.
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Affiliation(s)
- Lulu Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dandan Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Pengling Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Luting Nie
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Keliang Fan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yu Song
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Qingqing Xu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Juan Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Mian Wang
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Tao Jing
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Wenjie Li
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Wenqian Huo
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
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Wang X, Liu J, Cheng Z, Zhong Y, Chen X, Song W. Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study. Lipids Health Dis 2021; 20:99. [PMID: 34488806 PMCID: PMC8420033 DOI: 10.1186/s12944-021-01532-7] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 08/26/2021] [Indexed: 12/04/2022] Open
Abstract
Background Triglyceride glucose-body mass index (TyG-BMI) has been proven to be a reliable substitute for insulin resistance. However, whether a causal association exists between TyG-BMI and new-onset diabetes remains uncertain. The purpose of this study was to investigate the causal association and predictive performance between TyG-BMI and diabetes. Methods A total of 116,661 subjects who underwent a physical examination were included in this study. The subjects were divided into five equal points according to the quintile of TyG-BMI, and the outcome of interest was the occurrence of diabetic events. TyG-BMI = ln [fasting plasma glucose (mg/dL) × fasting triglycerides (mg/dL)/2] × BMI. Results During the average follow-up period of 3.1 (0.95) years, 1888 men (1.61 %) and 793 women (0.68 %) were newly diagnosed with diabetes. Multivariate Cox regression analysis showed that TyG-BMI was an independent predictor of new-onset diabetes (HR 1.50 per SD increase, 95 %CI: 1.40 to 1.60, P-trend < 0.00001), and the best TyG-BMI cutoff value for predicting new-onset diabetes was 213.2966 (area under the curve 0.7741, sensitivity 72.51 %, specificity 69.54 %). Additionally, the results of subgroup analysis suggested that the risk of TyG-BMI-related diabetes in young and middle-aged people was significantly higher than that in middle-aged and elderly people, and the risk of TyG-BMI-related diabetes in non-obese people was significantly higher than that in overweight and obese people (P for interaction < 0.05). Conclusions This cohort study of the Chinese population shows that after excluding other confounding factors, there is a causal association of TyG-BMI with diabetes, and this independent association is more obvious in young, middle-aged and non-obese people. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-021-01532-7.
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Affiliation(s)
- Xiaoyu Wang
- Department of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China
| | - Jingdong Liu
- Department of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China
| | - Zongyou Cheng
- Department of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China
| | - Yanjia Zhong
- Department of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China
| | - Xiaohua Chen
- Department of Endocrinology, Yihuang County People's Hospital, 344400, Fuzhou, Jiangxi Province, China
| | - Wei Song
- Department of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, 330006, Nanchang, Jiangxi Province, China.
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Polymorphisms in GLIS3 and susceptibility to diabetes mellitus: A systematic review and meta-analysis. Meta Gene 2021. [DOI: 10.1016/j.mgene.2021.100898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
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Guo J, Zhang Y, Li B, Wang C. In utero exposure to phenanthrene induced islet cell dysfunction in adult mice: Sex differences in the effects and potential causes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 770:145295. [PMID: 33513515 DOI: 10.1016/j.scitotenv.2021.145295] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 01/08/2021] [Accepted: 01/14/2021] [Indexed: 06/12/2023]
Abstract
Epidemiological studies show that the burden of polycyclic aromatic hydrocarbons in human body is associated with the occurrence of insulin resistance and diabetes. In the present study, pregnant mice were exposed to phenanthrene (Phe) at doses of 0, 60 and 600 μg/kg body weight of by gavage once every 3 days. The female F1 mice at 120 days of age showed no change in their fasting glucose levels (FGLs) but exhibited significantly decreased homeostasis model assessment (HOMA) β-cell (49% and 43%) and significantly downregulated pancreatic proinsulin gene (ins2) transcription. The downregulation of transcription factors, such as PDX1, PAX4 and FGF21, indicated impaired development and function of β-cells. The significantly reduced α-cell mass in 60 and 600 μg/kg groups, and the significantly downregulated expression of proglucagon gene gcg and ARX in the 600 μg/kg group suggested that the development and function of α-cells had been impacted. The males exhibited significantly increased FGLs (1.14- and 1.15-fold) in Phe exposed treatments and significantly elevated HOMA β-cell (3.15-fold) in the 600 μg/kg group. Upregulated ins2 transcription and FGF21 protein in male mice prenatally exposed to 600 μg/kg Phe suggested that these animals appeared compensatory enhancement in β-cell function. The reduced serum estradiol levels and downregulated pancreatic estrogen receptor α and β were responsible for the dysfunction of β-cells in the females. In the males, the significantly elevated androgen levels in the 600 μg/kg group might be related to the upregulated ins2 transcription, and the increased expression of pancreatic FGF21 further demonstrated the enhancement of β-cell potential. The results will be helpful for assessing the risk of developing diabetes in adulthood after prenatal exposure to phenanthrene.
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Affiliation(s)
- Jiaojiao Guo
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, PR China
| | - Ying Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, PR China
| | - Bingshui Li
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, PR China
| | - Chonggang Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, PR China.
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