Proteomics reveals different pathological processes of adipose tissue, liver, and skeletal muscle under insulin resistance

Li, Yaqi; Ma, Quantao; Li, Pengfei; Wang, Jingkang; Wang, Min; Yang, Fan; Wang, Tieshan; Wang, Chunguo; Wang, Ting; Zhao, Baosheng

doi:10.1002/jcp.29658

Cited by 8 publications

(4 citation statements)

References 214 publications

(154 reference statements)

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“…Specifically, increase in immune- and fibrosis-related proteins in adipose tissue, increase in branched-chain amino acids and mitochondrial proteins in liver, and excessive availability of fatty acids in skeletal muscle have been strongly associated with increased IR. 17 …”

Section: Introductionmentioning

confidence: 99%

Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues

Diamanti

Cavalli²,

Pereira³

et al. 2022

Cell Reports Medicine

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Section: Introductionmentioning

confidence: 99%

Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues

Diamanti

Cavalli²,

Pereira³

et al. 2022

Cell Reports Medicine

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“…Insulin resistance is a complex phenomenon that can be caused by diverse pathways. Proteomics studies revealed that there are different pathological processes of insulin resistance in skeletal muscle, adipose tissue, and liver (Li et al 2020 ). Men and women have different body composition and physiology of fat and muscle, and the difference may lead to sex differences in the pathophysiology of insulin resistance.…”

Section: Discussionmentioning

confidence: 99%

Characteristics of insulin resistance in Korean adults from the perspective of circadian and metabolic sensing genes

Park,

Lee,

Baek

et al. 2023

Genes Genom

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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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“…Previous studies revealed that aged skeletal muscle with decreased oxidative capacity led to altered mitochondrial biogenesis, which may be impaired by age-dependent accumulations of point mutations in human mitochondrial (mt) DNA in addition to pro-inflammatory processes [ 14 , 15 ]. Both mitochondrial dysfunction and chronic low-grade inflammation are associated with insulin resistance.…”

Section: Discussionmentioning

confidence: 99%

Association of skeletal muscle mass and its change with diabetes occurrence: a population-based cohort study

Shen

et al. 2023

Diabetol Metab Syndr

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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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Proteomics reveals different pathological processes of adipose tissue, liver, and skeletal muscle under insulin resistance

Cited by 8 publications

References 214 publications

Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues

Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues

Characteristics of insulin resistance in Korean adults from the perspective of circadian and metabolic sensing genes

Association of skeletal muscle mass and its change with diabetes occurrence: a population-based cohort study

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