Abstract
CONTEXT: Alterations in the lipid metabolism are linked to metabolic disorders such as insulin resistance (IR), obesity and type 2 diabetes (T2D). Regular exercise, particularly combined training (CT), is a well-known non-pharmacological treatment that combines aerobic (AT) and resistance (RT) training benefits. However, it is unclear whether moderate-intensity exercise without dietary intervention induces changes in lipid metabolism to promote a 'healthy lipidome'.
OBJECTIVE: The study aimed to investigate the effect of 16 weeks of CT on plasma and white adipose tissue in both sexes, middle-aged subjects with normal weight, obesity and T2D using an ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) untargeted lipidomics approach.
METHODS: Body composition, maximum oxygen consumption (VO2 max), strength, and biochemical markers were evaluated before and after the control/training period and correlated with lipid changes. CT consisted of 8 to 10 RT exercises, followed by 35 min of AT (45 -70% VO2 max), 3 times a week for 16 weeks.
RESULTS: The CT significantly reduced the levels of saturated and monounsaturated fatty acid side-chains (SFA/MUFA) in sphingolipids, glycerolipids (GL) and glycerophospholipids (GP) as well as reducing fat mass, circumferences and IR. Increased levels of polyunsaturated fatty acids in GPs, and GLs were also observed, along with increased fat-free mass, VO2 max, and strength (all p < 0.05) after training.
CONCLUSION: Our study stated that 16 weeks of moderate-intensity CT remodelled the lipid metabolism in OB, and T2D individuals, even without dietary intervention, establishing a link between exercise-modulated lipid markers and mechanisms that reduce IR and obesity-related comorbidities.
| Original language | English |
|---|---|
| Article number | dgae177 |
| Number of pages | 17 |
| Journal | Journal of Clinical Endocrinology and Metabolism |
| Early online date | 15 Mar 2024 |
| DOIs | |
| Publication status | Published - 31 May 2024 |
Bibliographical note
The authors thank the volunteers for participating in the study.Data Availability Statement
Original data generated and analyzed during this study are in-cluded in this published article or in the data repositories listed
in “References.”
Funding
This work was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP; regular research grants—process: 2016/08751-3; doctorate fellowship process Nos. 2017/11033-8 and 2019/25817-6); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ; Brazil—financing code 303571/2018-7); and the Brazilian Clinical Trials Registry (RBR-62n5qn). The authors thank the volunteers for participating in the study. The authors thank the UK Consortium for MetAbolic Phenotyping (MAP UK, - Medical Research Council (MR/ S010483/1)) for payment of publication fees.
| Funders | Funder number |
|---|---|
| São Paulo State Research Support Foundation | 2016/08751-3, 2017/11033-8, 2019/25817-6 |
| National Council for Scientific and Technological Development Brazil | 303571/2018-7 |
| Brazilian Clinical Trials Registry | RBR-62n5qn |
| Medical Research Council | MR/ S010483/1 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- exercise,
- obesity
- diabetes
- insulin resistance
- lipidomics
- mass spectrometry
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