Expression markers of human skeletal muscle associated with disorders of glucose metabolism in the basal and postprandial state
https://doi.org/10.14341/DM13166
Abstract
BACKGROUND. Skeletal muscles play a key role in the organism’s carbohydrate metabolism. Dysregulation of insulin-dependent glucose uptake in skeletal muscle disrupts carbohydrate metabolism in the organism and can lead to the development of obesity and type 2 diabetes.
AIM. To identify expression markers (genes) of human skeletal muscle associated with disorders of glucose metabolism in the basal state and after a mixed meal normalized for body mass.
MATERIALS AND METHODS. The study involved three groups of 8 people: healthy volunteers, obese patients without and with type 2 diabetes. Venous blood samples were taken in the morning (09:00) after an overnight fast and 30 min, 60 min, 90 min, 120 min, and 180 min after ingestion of a mixed meal normalized by body mass (6 kcal/kg). Biopsy samples from m. vastus lateralis was taken before and 1 h after a meal to assess gene expression (RNA sequencing) and search for genes correlating with markers of impaired glucose metabolism in the basal and postprandial state.
RESULTS. Strong correlations (|ρ|>0.7 and p<0.001) between the gene expression and the level of insulin, C-peptide, glucose or glycated hemoglobin in the basal and/or postprandial state was found for 75 genes. Of these, 17 genes had marked differences (>1.5-fold) in expression between healthy people and patients, or differences in expression changes in response to a meal. We can note genes whose role in impaired glucose metabolism has already been shown earlier (FSTL1, SMOC1, GPCPD1), as well as a number of other genes that are promising for further study of the mechanisms of insulin resistance in skeletal muscle.
CONCLUSION. Skeletal muscle expression markers were identified as promising candidates for future targeted studies aimed at studying the mechanisms of insulin resistance and searching for potential therapeutic targets.
About the Authors
P. A. MakhnovskiiRussian Federation
Pavel A. Mahknovskii - PhD in Biology; RecearcherID: S-7611-2018; Scopus Author ID: 55985671700; eLibrary SPIN: 6720-5905.
76A Khoroshevskoe shosse, 123007 Moscow
Competing Interests:
none
N. S. Kurochkina
Russian Federation
Nadezhda S. Kurochkina - RecearcherID: JWP-2837-2024; Scopus Author ID: 55887468500.
Moscow
Competing Interests:
none
T. F. Vepkhvadze
Russian Federation
Tatiana F. Vepkhvadze - PhD in Biology; RecearcherID: E-3870-2014; Scopus Author ID: 56904245200; eLibrary SPIN: 1411-7760.
Moscow
Competing Interests:
none
A. O. Tomilova
Russian Federation
Alina O. Tomilova, MD, PhD student; eLibrary SPIN: 8814-0121.
Moscow
Competing Interests:
none
E. M. Lednev
Russian Federation
Egor M. Lednev - PhD in Medicine; RecearcherID: R-9019-2018; Scopus Author ID: 57192209774; eLibrary SPIN: 5096-2065.
Moscow
Competing Interests:
none
M. V. Shestakova
Russian Federation
Marina V. Shestakova - MD, PhD, Professor, Academician of the Russian Academy of Sciences; RecearcherID: HKO-5485-2023; Scopus Author ID: 7004195530; eLibrary SPIN: 7584-7015.
Moscow
Competing Interests:
none
D. V. Popov
Russian Federation
Daniil V. Popov - PhD in Biology; RecearcherID: E-3913-2014; Scopus Author ID: 25643759400.
Moscow
Competing Interests:
none
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Supplementary files
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1. Figure 1. Experimental scheme (A) and search for expression markers associated with glucose metabolism indicators (B). | |
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2. Figure 2. Changes in blood glucose, insulin, and C-peptide levels after intake of mixed meals normalized to body weight in healthy individuals (H), patients with obesity without (Ob) and with type 2 diabetes (T2D). Dynamics of these indicators are shown (A), along with the incremental area under the curve (iAUC) (B); × — difference from baseline; * — difference from control. One, two, and three symbols indicate p ≤ 0.05, ≤ 0.01, and ≤ 0.001, respectively. | |
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3. Figure 3. Correlations of basal gene expression (A) and changes in gene expression in skeletal muscle after food intake (B) with fasting levels of C-peptide, insulin, and glucose in venous blood, as well as their increments after food intake. Lines indicate strong significant correlations (|ρ| > 0.7; p < 0.001). Colored circles represent genes whose basal expression (A) or changes in expression (B) in response to food intake differ between groups by more than 1.5 times (green — Ob vs. H, blue — T2D vs. H, red — combined group Ob + T2D vs. H). Circle fill indicates the protein class. | |
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4. Figure 4. Examples of correlations between potential expression markers of metabolic disorders (genes Follistatin like 1, SPARC Related Modular Calcium Binding 1, Glycerophosphocholine Phosphodiesterase, Adrenoceptor Beta 2) and glucose metabolism indicators. Healthy volunteers (H) — green, patients with obesity (Ob) — blue, and patients with obesity and type 2 diabetes (T2D) — red. | |
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For citations:
Makhnovskii P.A., Kurochkina N.S., Vepkhvadze T.F., Tomilova A.O., Lednev E.M., Shestakova M.V., Popov D.V. Expression markers of human skeletal muscle associated with disorders of glucose metabolism in the basal and postprandial state. Diabetes mellitus. 2024;27(5):411-421. (In Russ.) https://doi.org/10.14341/DM13166

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