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- Title
Adipokines as Predictive Biomarkers for Training Adaptation in Subjects with Multimorbidity—A Hypothesis-Generating Study.
- Authors
Maturana, Felipe Mattioni; Rolf, Rebecca; Schweda, Simone; Reimer, Max; Widmann, Manuel; Burgstahler, Christof; Nieß, Andreas M.; Krauss, Inga; Munz, Barbara
- Abstract
Background. Physical exercise exerts a positive effect on many chronic conditions, specifically lifestyle-related diseases such as overweight and obesity, type 2 diabetes mellitus (T2DM), cardiovascular conditions and osteoarthritis (OA). As a result of common risk factors, most of these patients present with multiple conditions. Exercise- and disease-related biomarkers, such as adipokines, are emerging tools in training supervision and regulation; however, their significance in subjects with multimorbidities is unknown. Subjects and Methods. To address this issue, adipokines leptin, adiponectin and resistin were assessed in a cohort of subjects with multimorbidities (n = 39) presenting with at least two of the abovementioned conditions or relevant risk factors before and after a six-month exercise and lifestyle intervention program ('MultiPill-Exercise'), and correlated with training adaptation, namely changes in relative maximum oxygen uptake ( V · O 2 max ). Results. There was a significant negative correlation between baseline leptin concentrations and training effect for relative V · O 2 max (after three months: rho = −0.54, p = 0.020 *; after six months: rho = −0.45, p = 0.013 *), with baseline leptin explaining 35% of the variance in delta relative V · O 2 max after three months and 23% after six months. Conclusions. Leptin might be a suitable surrogate biomarker in the context of exercise-based lifestyle intervention programs in subjects with multimorbidity.
- Subjects
ADIPOKINES; COMORBIDITY; TYPE 2 diabetes; LEPTIN; RESISTIN
- Publication
Journal of Clinical Medicine, 2023, Vol 12, Issue 13, p4376
- ISSN
2077-0383
- Publication type
Article
- DOI
10.3390/jcm12134376