EFFECTS OF DIFFERENT CALORIC RESTRICTIONS ON GLYCOLIPID METABOLISM AND THE TRANSCRIPTOME OF ADIPOSE TISSUE IN OBESE RATS

HUANG Jia-ling, LI Min-li, LIN Yi-qi, CHEN Jie-dong, GUO Fu-chuan

Acta Nutrimenta Sinica ›› 2024, Vol. 46 ›› Issue (6) : 557-566.

Acta Nutrimenta Sinica ›› 2024, Vol. 46 ›› Issue (6) : 557-566.
ORIGINAL ARTICLES

EFFECTS OF DIFFERENT CALORIC RESTRICTIONS ON GLYCOLIPID METABOLISM AND THE TRANSCRIPTOME OF ADIPOSE TISSUE IN OBESE RATS

  • HUANG Jia-ling, LI Min-li, LIN Yi-qi, CHEN Jie-dong, GUO Fu-chuan
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Abstract

Objective To investigate effects of calorie-restricted diets differing in macronutrient composition on lipid deposition and gene expression in inguinal white adipose tissue in obese rats. Methods A total of 50 male SPF Wistar rats aged 7-8 weeks were used in this study. They were randomly divided into 5 groups (n=10): a control group (ND-AL, 10% fat) receiving a standard diet, and four other groups fed a high-fat diet to induce obesity. After 10 weeks of modeling, obese rats were further divided into the high-fat model group (HF-AL, 45% fat), low-fat calorie-restricted group (LF-CR, 10% fat + 30% CR), medium-fat calorie-restricted group (MF-CR, 36% fat+30% CR), and high-fat calorie-restricted group (HF-CR, 46% fat + 30% CR). At the end of the 20th week, the rats were euthanized, and serum and adipose tissue samples were collected for subsequent analysis. Results The body weight, white adipocyte area, postprandial 2-hour blood glucose level, and area under the glucose curve (AUCG) of the HF-AL group rats were significantly higher than those of the ND-AL group (P<0.05). Rats in the different calorie-restricted groups showed significantly lower body weight, perirenal fat coefficient, and adipocyte size in subcutaneous and visceral white adipose tissues compared to the HF-AL group (P<0.05). Among the three calorie-restricted groups, the HF-CR group exhibited the earliest reduction in body weight, and the reduction in inguinal fat coefficient was more significant than the other two groups (P<0.05). Serum triglyceride (TG) and total cholesterol (TC) levels, postprandial 30-minute blood glucose level, and AUCG in the LF-CR group were significantly lower than those in the HF-AL group (P<0.05). WGCNA analysis of the inguinal white adipose tissue transcriptome classified the clustering of genes into 8 modules. The Brown module genes showed a significant positive correlation with serum TG levels (P<0.01, r=0.80), while the Darkorange2 module showed a significant negative correlation with HOMA-IR levels (P<0.01, r=0.80). The potential hub gene in the Brown module was UBA52, which showed a significant increase in expression in the HF-CR group. The potential hub gene in the Darkorange2 module was ITGB3, which showed a significant increase in expression in the MF-CR group. Many genes related to glucose and lipid metabolism in the Darkorange2 module (SLC2A1、INSR、PRKCZ、ACACB、FASN、SUCLG2、ACSS2、HADH、ACADL and STARD3) were correlated with the phenotypes of the three calorie-restricted groups. Conclusion Interventions by different caloric restrictions decrease body weight and adipose tissue weight in obese rats, but the changes of glucose and lipid metabolism, as well as the transcriptomes of the subcutaneous adipose tissue are significantly different.

Key words

obesity / caloric restriction / macronutrients / transcriptomics / rat

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HUANG Jia-ling, LI Min-li, LIN Yi-qi, CHEN Jie-dong, GUO Fu-chuan. EFFECTS OF DIFFERENT CALORIC RESTRICTIONS ON GLYCOLIPID METABOLISM AND THE TRANSCRIPTOME OF ADIPOSE TISSUE IN OBESE RATS[J]. Acta Nutrimenta Sinica. 2024, 46(6): 557-566

References

[1] The Lancet Diabetes Endocrinology. Should we officially recognise obesity as a disease?[J]. Lancet Diabetes Endocrinol, 2017, 5: 483.
[2] Roy R, Yang J, ShimuraA T, et al. Escape from breast tumor dormancy: the convergence of obesity and menopause[J]. Proc Natl Acad Sci USA, 2022, 119: e2204758119.
[3] Pan XF, Wang L, Pan A.Epidemiology and determinants of obesity in China[J]. Lancet Diabetes Endocrinol, 2021, 9: 373–392.
[4] Liu G, Dhana K, Furtado JD, et al. Perfluoroalkyl substances and changes in body weight and resting metabolic rate in response to weight-loss diets: a prospective study[J]. PLoS Med, 2018, 15: e1002502.
[5] Fabbiano S, Suárez-Zamorano N, Chevalier C, ,et al. Functional gut gicrobiota remodeling contributes to the caloric restriction-induced metabolic improvements [J]. Cell Metab. Functional gut gicrobiota remodeling contributes to the caloric restriction-induced metabolic improvements [J]. Cell Metab, 2018, 28: 907–921. e7.
[6] Sheng Y, Xia F, Chen L, et al. Differential responses of white adipose tissue and brown adipose tissue to calorie restriction during aging[J]. J Gerontol A Biol Sci Med Sci, 2021, 76: 393–399.
[7] Hu FB.Calorie restriction in an obesogenic environment: reality or fiction?[J]. Lancet Diabetes Endocrinol, 2019, 7: 658–659.
[8] Zhang Z, Chen X, Loh YJ, et al. The effect of calorie intake, fasting, and dietary composition on metabolic health and gut microbiota in mice[J]. BMC Biol, 2021, 19: 51.
[9] Pak HH, Haws SA, Green CL, et al. Fasting drives the metabolic, molecular and geroprotective effects of a calorie-restricted diet in mice[J]. Nat Metab, 2021, 3: 1327–1341.
[10] Mitchell SJ, Bernier M, Mattison JA, et al. Daily fasting improves health and survival in male mice independent of diet composition and calories [J]. Cell Metab, 2019, 29: 221–228.e3.
[11] Pan F, Zhang L, Li M, et al. Predominant gut lactobacillus murinus strain mediates anti-inflammaging effects in calorie-restricted mice.[J]. Microbiome, 2018, 6: 54.
[12] Zhang L, Xue X, Zhai R, et al. Timing of calorie restriction in mice impacts host metabolic phenotype with correlative changes in gut microbiota[J]. mSystems, 2019, 4: e00348–19.
[13] Mitchell SE, Tang Z, Kerbois C, et al. The effects of graded levels of calorie restriction: I.impact of short term calorie and protein restriction on body composition in the C57BL/6 mouse[J]. Oncotarget, 2015, 6: 15902–15930.
[14] Mitchell SE, Delville C, Konstantopedos P, et al. The effects of graded levels of calorie restriction: II. impact of short term calorie and protein restriction on circulating hormone levels, glucose homeostasis and oxidative stress in male C57BL/6 mice[J]. Oncotarget, 2015, 6: 23213–23237.
[15] Tiwari S, Singh A, Gupta P, et al. UBA52 is crucial in HSP90 ubiquitylation and neurodegene-rative signaling during early phase of Parkinson'sdisease[J]. Cells, 2022, 11: 3770.
[16] Tiwari S, Singh A, Gupta P, et al. UBA52 attunes VDAC1-mediated mitochondrial dysfunction and dopaminergic neuronal death[J]. ACS Chem Neurosci,2023, 14: 839–850.
[17] Kobayashi M, Oshima S, Maeyashiki C, et al. The ubiquitin hybrid gene UBA52 regulates ubiquitination of ribosome and sustains embryonic development[J]. Sci Rep, 2016, 6: 36780.
[18] Sun DY, Fu JT, Li GQ, et al. iTRAQ- and LC-MS/MS-based quantitative proteomics reveals Pqlc2 as a potential regulator of hepatic glucose metabolism and insulin signalling pathway during fasting[J]. Clin Exp Pharmacol Physiol, 2021, 48: 238–249.
[19] Li H, Song D, Liu Q, et al. miR-351 promotes atherosclerosis in diabetes by inhibiting the ITGB3/PIK3R1/Akt pathway and induces endothelial cell injury and lipid accumulation[J]. Mol Med, 2022, 28: 120.
[20] Zhu C, Kong Z, Wang B, et al. ITGB3/CD61: a hub modulator and target in the tumor microenvironment[J]. Am J Transl Res, 2019, 11: 7195–7208.

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