Metabolic syndrome (MetS) and cardiovascular disease have become major global public health issues, with traditional anthropometric indices exhibiting significant limitations in assessing metabolic health. The fat-to-muscle mass ratio (FMR), as a novel body composition index that obviously reflects the relative status of fat load and muscle reserve in the body, has emerged as a research focus in metabolic risk assessment due to its non-invasive and easily measurable advantages. This review systematically summarizes the evidence on the association of FMR with abnormal glucose metabolism, insulin resistance and MetS, explains the biological mechanism of FMR affecting cardiacmetabolic risk, analyzes the limitations of existing studies and puts forward the future research direction. It aims to provide a reference for translating FMR from basic research to clinical application and promoting precision prevention and control of cardiometabolic diseases.
HomeArticlesVol 36,2026 No.9Detail
Research progress on fat-to-muscle mass ratio in relation to metabolic syndrome and cardiometabolic risk
Published on Sep. 29, 2026Total Views: 803 timesTotal Downloads: 364 timesDownloadMobile
- Abstract
- Full-text
- References
Abstract
Full-text
References
1. JamaliZ, AyoobiF, JalaliZ, et al. Metabolic syndrome: a population-based study of prevalence and risk factors[J]. Sci Rep, 2024, 14(1): 3987.
2. MaK, LiuH, GuoL, et al. Comparison of metabolic syndrome prevalence and characteristics using five different definitions in China: a population-based retrospective study[J]. Front Public Health, 2024, 12: 1333910.
3. Francula-ZaninovicS, NolaIA. Management of measurable variable cardiovascular disease' risk factors[J]. Curr Cardiol Rev, 2018, 14(3): 153-163.
4. GuembeMJ, ClFernandez-Lazaro, Sayon-OreaC, et al. Risk for cardiovascular disease associated with metabolic syndrome and its components: a 13-year prospective study in the RIVANA cohort[J]. Cardiovasc Diabetol, 2020, 19(1): 195.
5. KurinamiN, SugiyamaS, YoshidaA, et al. Correlation of body muscle/fat ratio with insulin sensitivity using hyperinsulinemic-euglycemic clamp in treatment-naïve type 2 diabetes mellitus[J]. Diabetes Res Clin Pract, 2016, 120: 65-72.
6. JheeJH, JooYS, HanSH, et al. High muscle‐to‐fat ratio is associated with lower risk of chronic kidney disease development[J]. J Cachexia Sarcopenia Muscle, 2020, 11(3): 726-734.
7. De LorenzoA, SoldatiL, SarloF, et al. New obesity classification criteria as a tool for bariatric surgery indication[J]. World J Gastroenterol, 2016, 22(2): 681-703.
8. RossR, NeelandIJ, YamashitaS, et al. Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity[J]. Nat Rev Endocrinol, 2020, 16(3): 177-189.
9. SeyedhoseinpourA, BarzinM, MahdaviM, et al. BMI category-specific waist circumference thresholds based on cardiovascular disease outcomes and all-cause mortality: Tehran lipid and glucose study (TLGS)[J]. BMC Public Health, 2023, 23(1): 1297.
10. DaltonM, CameronA, ZimmetP, et al. Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults[J]. J Intern Med, 2003, 254(6): 555-563.
11. OliverC, ClimsteinM, RosicN, et al. Fat-free mass: friend or foe to metabolic health?[J]. J Cachexia Sarcopenia Muscle, 2025, 16(1): e13714.
12. ElagiziA, KachurS, LavieC, et al. An overview and update on obesity and the obesity paradox in cardiovascular diseases[J]. Prog Cardiovasc Dis, 2018, 61(2): 142-150.
13. SeoY, SongHJ, SongYR. Fat‐to‐muscle ratio as a predictor of insulin resistance and metabolic syndrome in Korean adults[J]. J Cachexia Sarcopenia Muscle, 2020, 11(3): 710-725.
14. WangN, SunY, ZhangH, et al. Total and regional fat‐to‐muscle mass ratio measured by bioelectrical impedance and risk of incident type 2 diabetes[J]. J Cachexia Sarcopenia Muscle, 2021, 12(6): 2154-2162.
15. ChenYY, FangWH, WangCC, et al. Fat-to-muscle ratio is a useful index for cardiometabolic risks: a population-based observational study[J]. PLoS One, 2019, 14(4): e0214994.
16. KurinamiN, SugiyamaS, YoshidaA, et al. Body muscle-to-fat ratio gender-specific cut-off values for impaired insulin sensitivity in patients with treatment-naïve type 2 diabetes mellitus[J]. Endocrine, 2019, 66(3): 503-508.
17. KurinamiN, SugiyamaS, YoshidaA, et al. Body muscle-to-fat ratio (BMFR) as a promising anthropometric index for use in the evaluation of insulin resistance and metabolic disease risk: a narrative review[J]. Curr Obes Rep, 2025, 14(1): 76.
18. LiuD, ZhongJ, RuanY, et al. The association between fat-to-muscle ratio and metabolic disorders in type 2 diabetes[J]. Diabetol Metab Syndr, 2021, 13(1): 129.
19. LuZ, HuY, ChenX, et al. Sex-specific associations between total and regional fat-to-muscle mass ratio and cardiometabolic risk: findings from the China national health survey[J]. Nutr J, 2024, 23(1): 104.
20. LeiteN, TadiottoMC, De Moraes JuniorFB, et al. Examining the mediating role of muscle quantity in adolescents: associations with adiposity, cardiorespiratory fitness, muscular fitness, and cardiometabolic risk factors[J]. Sci Rep, 2024, 14(1): 12030.
21. HeH, PanL, WangD, et al. The association between muscle-to-fat ratio and cardiometabolic risks: the China national health survey[J]. Exp Gerontol, 2023, 175: 112155.
22. YuP, HsuC, LeeW, et al. Muscle‐to‐fat ratio identifies functional impairments and cardiometabolic risk and predicts outcomes: biomarkers of sarcopenic obesity[J]. J Cachexia Sarcopenia Muscle, 2022, 13(1): 368-376.
23. Guerra ValenciaJ, Castillo-ParedesA, Gibaja-ArceC, et al. The association between lean-to-fat mass ratio and cardiometabolic abnormalities: an analytical cross-sectional study[J]. J Clin Med Res, 2024, 16(2-3): 81-93.
24. YanF, NieG, ZhouN, et al. Combining fat-to-muscle ratio and alanine aminotransferase/aspartate aminotransferase ratio in the prediction of cardiometabolic risk: a cross-sectional study[J]. Diabetes Metab Syndr Obes, 2023, 16: 795-806.
25. KwonY, ChungJA, ChoiYJ, et al. Relationship of the degree of sarcopenia with the severity of nonalcoholic fatty liver disease and cardiometabolic risk in adolescents[J]. Life (Basel), 2024, 14(11): 1457.
26. XuM, GongY, YinX. Total and regional fat-to-muscle mass ratio in relation to all-cause and cause-specific mortality in men and women[J]. J Clin Endocrinol Metab, 2025, 110(6): e2054-e2063.
27. ZhouR, ChenH, LinY, et al. Total and regional fat/muscle mass ratio and risks of incident cardiovascular disease and mortality[J]. J Am Heart Assoc, 2023, 12(17): e030101.
28. XuK, ZhuH, ChenS, et al. Fat-to-muscle ratio: a new anthropometric indicator for predicting metabolic syndrome in the Han and Bouyei populations from Guizhou province, China[J]. Biomed Environ Sci, 2018, 31(4): 261-271.
29. ParkJ, KimS. Validity of muscle-to-fat ratio as a predictor of adult metabolic syndrome[J]. J Phys Ther Sci, 2016, 28(3): 1036-1045.
30. HuangF, JiX, WangZ, et al. Fat‐to‐muscle ratio is associated with insulin resistance and cardiometabolic disorders in adults with type 1 diabetes mellitus[J]. Diabetes Obes Metab, 2023, 25(11): 3181-3191.
31. Ben SimonA, BrenerA, Segev-BeckerA, et al. Body composition in children and adolescents with non-classic congenital adrenal hyperplasia and the risk for components of metabolic syndrome: an observational study[J]. Front Endocrinol (Lausanne), 2022, 13: 1022752.
32. SongF, XieL, NiuY, et al. The association between skeletal muscle-to-fat mass ratio and insulin resistance in obese children with low skeletal muscle mass[J]. BMC Endocr Disord, 2026, 26(1): 136-144.
33. HamouG, Ben SimonA, Yackobovitch-GavanM, et al. Body composition shapes cardiometabolic risk in children with multifactorial dyslipidemia[J]. Front Nutr, 2026, 12: 1717055.
34. Yerushalmy-FelerA, KassnerO, FrankY, et al. Body composition in pediatric celiac disease and metabolic syndrome component risk—an observational study[J]. Pediatr Res, 2023, 94(2): 618-625.
35. AlkhatibB, OrabiA, AgraibLM, et al. Metabolic syndrome prediction based on body composition indices[J]. J Egypt Public Health Assoc, 2024, 99(1): 34.
36. SakumaK, AoiW, YamaguchiA. Current understanding of sarcopenia: possible candidates modulating muscle mass[J]. Pflugers Arch, 2015, 467(2): 213-229.
37. PapadopoliD, PollakM, TopisirovicI. The role of GSK3 in metabolic pathway perturbations in cancer[J]. Biochim Biophys Acta Mol Cell Res, 2021, 1868(8): 119059.
38. GarmesHM. Special features on insulin resistance, metabolic syndrome and vascular complications in hypopituitary patients[J]. Rev Endocr Metab Disord, 2024, 25(3): 489-504.
39. SinhaS, HaqueM. Insulin resistance is cheerfully hitched with hypertension[J]. Life (Basel), 2022, 12(4): 564.
40. GastaldelliA. Measuring and estimating insulin resistance in clinical and research settings[J]. Obesity (Silver Spring), 2022, 30(8): 1549-1563.
41. SzukiewiczD. Molecular mechanisms for the vicious cycle between insulin resistance and the inflammatory response in obesity[J]. Int J Mol Sci, 2023, 24(12): 9818.
42. OrioliL, ThissenJP, LoumayeA. Changes in body composition, muscle function, and muscle insulin sensitivity induced by obesity and bariatric surgery: implications for sarcopenic obesity[J]. Clin Nutr, 2026, 56: 106547.
43. LiC, YuK, Shyh‐ChangN, et al. Pathogenesis of sarcopenia and the relationship with fat mass: descriptive review[J]. J Cachexia Sarcopenia Muscle, 2022, 13(2): 781-794.
44. YangW, SiSC, WangWH, et al. Gut dysbiosis in primary sarcopenia: potential mechanisms and implications for novel microbiome-based therapeutic strategies[J]. Front Microbiol, 2025, 16: 1526764.
45. GuoL, QuanM, PangW, et al. Cytokines and exosomal miRNAs in skeletal muscle-adipose crosstalk[J]. Trends Endocrinol Metab, 2023, 34(10): 666-681.
46. KimY, SongHJ, KimD, et al. Cross-sectional and longitudinal associations of irisin and adiponectin with obesity, sarcopenia and sarcopenic obesity[J]. J Cachexia Sarcopenia Muscle, 2026, 17(1): e70172.
47. JangSY, ChoiKM. Impact of adipose tissue and lipids on skeletal muscle in sarcopenia[J]. J Cachexia Sarcopenia Muscle, 2025, 16(4): e70000.
48. ParkMJ, ChoiKM. Interplay of skeletal muscle and adipose tissue: sarcopenic obesity[J]. Metabolism, 2023, 144: 155577.
Popular Papers
-
PROBAST+AI: an interpretation of the tool for assessing the quality, risk of bias and applicability of prediction models based on traditional or artificial intelligence methods
Aug. 04, 20264031
-
Trends in health literacy among older adults in China from 2012 to 2022: a cross-temporal Meta-analysis
Jun. 09, 20264004
-
Methodological advances and application in clinical research of nested case-control studies
Jun. 09, 20263943
-
Multidisciplinary team management of aneurysmal bone cyst in the jugular foramen: a case report and literature review
Jul. 02, 20263743
-
Circuit mechanism and network reorganization of electroencephalographic neurofeedback on emotional disorders
Jul. 02, 20263284
-
Impact of interactive devices in nursing on the motor ability of patients with ischemic stroke: a systematic review and Meta-analysis
Jun. 09, 20263213
-
Research on living clinical practice guidelines in diabetes mellitus Ⅲ: methodological characteristics analysis of recommendations classification and evidence grading in the Chinese clinical practice guidelines for type 2 diabetes mellitus
Jul. 02, 20263147
-
Incidence and risk factors of permanent stoma after temporary stoma in sphincter-preserving surgery for rectal cancer: a systematic review and Meta-analysis
Jul. 02, 20263143
-
Analysis of imaging characteristics of 24 MHz very high-frequency ultrasound in scalp examination of patients with androgenetic alopecia
Jul. 02, 20263083
-
Effects of different anesthesia methods on perioperative circulation and post-operative recovery in elderly patients with benign prostatic hyperplasia undergoing blue laser vaporization of the prostate
Jun. 09, 20263080
-
Recent advances in the diagnosis and treatment of neovascular glaucoma
Aug. 04, 20263070
-
Correlation between the expression of cell proliferation nuclear antigen Ki-67 and tumor-infiltrating lymphocytes in breast cancer: a systematic review and Me-ta-analysis
Jun. 09, 20262909
-
The impact of TGF-β1 on tumor immunity and the advances of targeted therapy
Jun. 09, 20262906
-
Research on the promotion of clinical practice guidelines implementation (Ⅸ): a framework design for computable formalization of diagnostic and therapeutic process knowledge and construction of knowledge praphs in clinical practice guidelines
Jun. 09, 20262761
-
Application value of blood lithium monitoring in relapse prediction of maintenance treatment for bipolar disorder
Jul. 02, 20262749
Welcome to visit Zhongnan Medical Journal Press Series journal website!