Evidence map›Paper›PMID 42859675›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2026

Physical Activity, Myokine-Adipokine Signatures and Haemoglobin Glycation Index in Adults with Type 2 Diabetes.

Marwan Ismail, Mutaz Ibrahim Hassan, Akhtamova Shahzoda Fozilovna, Namoz Xalimovich Mavlonov, Nuriddin Nuritdinov, Elmotaz Abdelfatah

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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Marwan IsmailDepartment of Clinical Chemistry, College of Medical Laboratory, Clinical Chemistry, Shendi University, Shendi, River Nile State, Sudan.ORCID 0000-0001-5692-1632
Mutaz Ibrahim HassanDepartment of Clinical Chemistry, College of Medical Laboratory, Clinical Chemistry, Shendi University, Shendi, River Nile State, Sudan.
Akhtamova Shahzoda FozilovnaDepartment of Medical Rehabilitation, Sports Medicine and Traditional Medicine, Samarkand State Medical University, Samarkand, Uzbekistan.
Namoz Xalimovich MavlonovDepartment of Internal Disease in Family Medicine, Bukhara State Medical Institute, Bukhara, Uzbekistan.
Nuriddin NuritdinovDepartment of Internal Diseases, Tashkent State Medical University, Tashkent, Uzbekistan.
Elmotaz AbdelfatahDepartment of Biomedical Sciences, College of Medicine, Gulf Medical University, Ajman, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Hemoglobin Glycation Index (HGI) reflects variability in hemoglobin glycation beyond ambient glycaemia and is a marker of metabolic heterogeneity, cardiovascular risk and treatment response in type 2 diabetes mellitus (T2DM). Whether circulating myokines and adipokines are related to HGI, or whether relationships differ across exercise modalities, is unclear. Objective: To examine associations of circulating myokines (irisin, myostatin, myonectin, IL-6, IL-15) and adipokines (leptin, adiponectin) with HGI, and whether associations differ between physically active and sedentary individuals and across exercise modalities. Methods: Cross-sectional study of 185 adults with T2DM recruited at Thumbay Hospital, Ajman, United Arab Emirates, classified as physically active (n=98) or sedentary (n=87), with active individuals sub-grouped by predominant modality: aerobic (70), resistance (11), combined (17). Measurements were obtained after an overnight fast. HGI was calculated as the residual of HbA1c regressed on fasting plasma glucose. Mann-Whitney U, Kruskal-Wallis, Spearman correlations with false discovery rate (FDR) correction and median regression adjusted for age, sex, BMI and fasting glucose were used. Results: Active participants had lower HGI than sedentary participants (median -0.44 vs 0.12; p = 0.001), with lower BMI, fasting glucose and HbA1c. HGI differed by modality (p < 0.001), most favourable in the combined-training group and least favourable in the aerobic-only group. IL-6 was inversely correlated with HGI in active participants and leptin in sedentary participants (both FDR p < 0.05). Physical activity remained an independent predictor of lower HGI after adjustment for age, sex and BMI (β = -0.65;p< 0.001), and persisted after adjustment for IL-15 and leptin. Conclusion: Precludes causal inference; if confirmed prospectively, associations may inform individualized exercise prescription and HGI-based risk stratification.Distinct myokine-adipokine signatures were associated with glycation variability beyond mean glycaemia and combined aerobic-plus-resistance training with the most favourable HGI profile. The cross-sectional design precludes causal inference; if confirmed prospectively, associations may inform individualized exercise prescription and HGI-based risk stratification.

Indexed as

adipokinesexercise modalityhemoglobin glycation indexmyokinestype 2 diabetes

Identifiers

PMID42859675
PMCPMC13653552

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.