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Park MS, Lee S, Baek Y, Lee J, Park SS, Cho JH, Jin HJ, Yoo HR. Characteristics of insulin resistance in Korean adults from the perspective of circadian and metabolic sensing genes. Genes Genomics 2023; 45:1475-1487. [PMID: 37768516 PMCID: PMC10682234 DOI: 10.1007/s13258-023-01443-0] [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: 01/21/2022] [Accepted: 08/20/2022] [Indexed: 09/29/2023]
Abstract
BACKGROUND The biological clock allows an organism to anticipate periodic environmental changes and adjust its physiology and behavior accordingly. OBJECTIVE This retrospective cross-sectional study examined circadian gene polymorphisms and clinical characteristics associated with insulin resistance (IR). METHODS We analyzed data from 1,404 Korean adults aged 30 to 55 with no history of cancer and cardio-cerebrovascular disease. The population was classified according to sex and homeostasis model assessment of insulin resistance (HOMA-IR) values. Demographics, anthropometric and clinical characteristics, and single nucleotide polymorphisms (SNPs) were analyzed with respect to sex, age, and HOMA-IR values. We used association rule mining to identify sets of SNPs from circadian and metabolic sensing genes that may be associated with IR. RESULTS Among the subjects, 15.0% of 960 women and 24.3% of 444 men had HOMA-IR values above 2. Most of the parameters differed significantly between men and women, as well as between the groups with high and low insulin sensitivity. Body fat mass of the trunk, which was significantly higher in insulin-resistant groups, had a higher correlation with high sensitivity C-reactive protein and hemoglobin levels in women, and alanine aminotransferase and aspartate aminotransferase levels in men. Homozygous minor allele genotype sets of SNPs rs17031578 and rs228669 in the PER3 gene could be more frequently found among women with HOMA-IR values above 2 (p = .014). CONCLUSION Oxidative stress enhanced by adiposity and iron overload, which may also be linked to NRF2 and PER3-related pathways, is related to IR in adulthood. However, due to the small population size in this study, more research is needed.
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Affiliation(s)
- Miso S Park
- Clinical Trial Center, Daejeon Korean Medicine Hospital of Daejeon University, 75 Daedeok-daero 176beon-gil, Seo- gu, Daejeon, 35235, Korea.
- Department of Cardiology and Neurology of Korean Medicine, College of Korean Medicine, Daejeon University, Daejeon, Korea.
| | - Siwoo Lee
- KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Korea
| | - Younghwa Baek
- KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Korea
| | - Juho Lee
- Data Convergence Drug Research Center, Korea Research Institute of Chemical Technology, University of Science & Technology, Daejeon, Korea
| | - Sang-Soo Park
- Clinical Trial Center, Daejeon Korean Medicine Hospital of Daejeon University, 75 Daedeok-daero 176beon-gil, Seo- gu, Daejeon, 35235, Korea
| | - Jung-Hyo Cho
- Liver and Immunology Research Center, Daejeon Korean Medicine Hospital of Daejeon University, Daejeon, Korea
| | - Hee-Jeong Jin
- KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Korea
| | - Ho-Ryong Yoo
- Clinical Trial Center, Daejeon Korean Medicine Hospital of Daejeon University, 75 Daedeok-daero 176beon-gil, Seo- gu, Daejeon, 35235, Korea
- Department of Cardiology and Neurology of Korean Medicine, College of Korean Medicine, Daejeon University, Daejeon, Korea
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Xu Y, Hu T, Shen Y, Wang Y, Bao Y, Ma X. Association of skeletal muscle mass and its change with diabetes occurrence: a population-based cohort study. Diabetol Metab Syndr 2023; 15:53. [PMID: 36945053 PMCID: PMC10031974 DOI: 10.1186/s13098-023-01027-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/11/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Low muscle mass likely results in reduced capacity for glucose disposal, leading to a significant but under-appreciated contribution to increasing the risk of diabetes. But few prospective studies have investigated the association between the loss of muscle mass and the occurrence of diabetes. We aimed to investigate whether short-term changes in muscle mass affect the incidence of diabetes in a Chinese population. METHODS This study included 1275 individuals without evident diabetes at baseline. In the baseline and re-examination, individuals completed the risk factors survey and underwent body composition measurement. Muscle mass index was defined as the percentage skeletal muscle mass, which was measured by an automatic bioelectric analyzer. RESULTS After a median follow-up of 2.1 years, 142 individuals developed diabetes (11.1%). There was an inverse association between basal skeletal muscle mass index and the risk of diabetes in participants with impaired glucose regulation but not in those with normal glucose tolerance. Multivariate-adjusted hazard ratios for the risk of developing diabetes were 0.85 (95% CI: 0.74-0.98) and 1.15 (95% CI: 0.98-1.34), respectively. Furthermore, Cox regression analysis revealed that a two-year change in skeletal muscle mass was also inversely associated with the incidence of diabetes in both participants with normal glucose tolerance and with impaired glucose regulation (HR: 0.76, 95% CI: 0.65-0.89; HR: 0.81, 95% CI: 0.71-0.91). CONCLUSIONS These findings emphasized the importance of early detection and control of muscle mass loss for the prevention of diabetes.
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Affiliation(s)
- Yiting Xu
- Department of Endocrinology and Metabolism, Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Tingting Hu
- Department of Endocrinology and Metabolism, Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Yun Shen
- Department of Endocrinology and Metabolism, Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Yufei Wang
- Department of Endocrinology and Metabolism, Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
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Diamanti K, Cavalli M, Pereira MJ, Pan G, Castillejo-López C, Kumar C, Mundt F, Komorowski J, Deshmukh AS, Mann M, Korsgren O, Eriksson JW, Wadelius C. Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues. CELL REPORTS MEDICINE 2022; 3:100763. [PMID: 36198307 PMCID: PMC9589007 DOI: 10.1016/j.xcrm.2022.100763] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 07/02/2022] [Accepted: 09/13/2022] [Indexed: 11/28/2022]
Abstract
Environmental and genetic factors cause defects in pancreatic islets driving type 2 diabetes (T2D) together with the progression of multi-tissue insulin resistance. Mass spectrometry proteomics on samples from five key metabolic tissues of a cross-sectional cohort of 43 multi-organ donors provides deep coverage of their proteomes. Enrichment analysis of Gene Ontology terms provides a tissue-specific map of altered biological processes across healthy, prediabetes (PD), and T2D subjects. We find widespread alterations in several relevant biological pathways, including increase in hemostasis in pancreatic islets of PD, increase in the complement cascade in liver and pancreatic islets of PD, and elevation in cholesterol biosynthesis in liver of T2D. Our findings point to inflammatory, immune, and vascular alterations in pancreatic islets in PD that are hypotheses to be tested for potential contributions to hormonal perturbations such as impaired insulin and increased glucagon production. This multi-tissue proteomic map suggests tissue-specific metabolic dysregulations in T2D.
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Affiliation(s)
- Klev Diamanti
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Marco Cavalli
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Maria J. Pereira
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Gang Pan
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Casimiro Castillejo-López
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Chanchal Kumar
- Translational Science & Experimental Medicine, Early Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden,Karolinska Institutet/AstraZeneca Integrated CardioMetabolic Center (KI/AZ ICMC), Department of Medicine, Novum, Huddinge, Sweden
| | - Filip Mundt
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark,Department of Oncology-Pathology, Karolinska Institute, Stockholm, Sweden
| | - Jan Komorowski
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden,Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland,Washington National Primate Research Center, Seattle, WA, USA,Swedish Collegium for Advanced Study, Uppsala, Sweden
| | - Atul S. Deshmukh
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Mann
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark,Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Olle Korsgren
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden,Department of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Jan W. Eriksson
- Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden
| | - Claes Wadelius
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden,Corresponding author
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