cfDNA Changes in Maximal Exercises as a Sport Adaptation Predictor

Humińska-Lisowska, Kinga; Mieszkowski, Jan; Kochanowicz, Andrzej; Stankiewicz, Błażej; Niespodziński, Bartłomiej; Brzezińska, Paulina; Ficek, Krzysztof; Kemerytė-Ivanauskienė, Eglė

doi:10.3390/genes12081238

Cited by 6 publications

(10 citation statements)

References 31 publications

(45 reference statements)

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“…The participants’ description is consistent with our previous specifications published by Humińska et al [ 50 ]. In the presented study, the population that was not qualified to participate in this project (according to the GPAQ declaration of intensive physical training) was qualified for the previously presented research.…”

Section: Methodssupporting

confidence: 87%

“…The study was based on a quasi-experimental, repeated-measures design and was adapted from our previous procedure [ 50 ]. The study protocol involved two maximal tests: an anaerobic test (maximal anaerobic effort, MAnE; a double Wingate anaerobic test, WAnT) and an anaerobic test (maximal aerobic effort, MAE; Bruce treadmill test).…”

Section: Methodsmentioning

confidence: 99%

“…In the presented study, the population that was not qualified to participate in this project (according to the GPAQ declaration of intensive physical training) was qualified for the previously presented research. The men were representatives of the control study described in [ 50 ]. However, some of the participants involved in the current study were rejected from our previous study [ 50 ] due to the higher body fat percentage.…”

Section: Methodsmentioning

confidence: 99%

“…The men were representatives of the control study described in [ 50 ]. However, some of the participants involved in the current study were rejected from our previous study [ 50 ] due to the higher body fat percentage. While more physically active participants were recruited for the earlier study, the less active ones engaged in our current study.…”

Section: Methodsmentioning

confidence: 99%

“…For MAE, the Bruce protocol on an electric treadmill (h/p/cosmos, Germany) was implemented as described elsewhere [ 50 ]. Briefly, after a standardized warm-up, each participant undertook running with an increasing load, including velocity and treadmill inclination.…”

Section: Methodsmentioning

confidence: 99%

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Implications of Adipose Tissue Content for Changes in Serum Levels of Exercise-Induced Adipokines: A Quasi-Experimental Study

Humińska-Lisowska

Mieszkowski

Kochanowicz

et al. 2022

IJERPH

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Human adipocytes release multiple adipokines into the bloodstream during physical activity. This affects many organs and might contribute to the induction of inflammation. In this study, we aimed to assess changes in circulating adipokine levels induced by intense aerobic and anaerobic exercise in individuals with different adipose tissue content. In the quasi-experimental study, 48 male volunteers (aged 21.78 ± 1.98 years) were assigned to groups depending on their body fat content (BF): LBF, low body fat (<8% BF, n = 16); MBF, moderate body fat (8–14% BF, n = 19); and HBF, high body fat (>14% BF, n = 13). The volunteers performed maximal aerobic effort (MAE) and maximal anaerobic effort (MAnE) exercises. Blood samples were collected at five timepoints: before exercise, immediately after, 2 h, 6 h, and 24 h after each exercise. The selected cytokines were analyzed: adiponectin, follistatin-like 1, interleukin 6, leptin, oncostatin M, and resistin. While the participants’ MAnE and MAE performance were similar regardless of BF, the cytokine response of the HBF group was different from that of the others. Six hours after exercise, leptin levels in the HBF group increased by 35%. Further, immediately after MAnE, resistin levels in the HBF group also increased, by approximately 55%. The effect of different BF was not apparent for other cytokines. We conclude that the adipokine exercise response is associated with the amount of adipose tissue and is related to exercise type.

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Section: Methodssupporting

confidence: 87%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Implications of Adipose Tissue Content for Changes in Serum Levels of Exercise-Induced Adipokines: A Quasi-Experimental Study

Humińska-Lisowska

Mieszkowski

Kochanowicz

et al. 2022

IJERPH

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Cell‐free DNA kinetics in response to muscle‐damaging exercise: A drop jump study

Juškevičiūtė,

Neuberger,

Eimantas

et al. 2024

Experimental Physiology

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A significant increase in circulating cell‐free DNA (cfDNA) occurs with physical exercise, which depends on the type of exertion and the duration. The aims of this study were as follows: (1) to investigate the time course of cfDNA and conventional markers of muscle damage from immediately after to 96 h after muscle‐damaging exercise; and (2) to investigate the relationship between cfDNA and indicators of primary (low‐frequency fatigue and maximal voluntary isometric contraction) and secondary (creatine kinase and delayed‐onset muscle soreness) muscle damage in young healthy males. Fourteen participants (age, 22 ± 2 years; weight, 84.4 ± 11.2 kg; height, 184.0 ± 7.4 cm) performed 50 intermittent drop jumps at 20 s intervals. We measured cfDNA and creatine kinase concentrations, maximal voluntary isometric contraction torque, low‐frequency fatigue and delayed‐onset muscle soreness before and at several time points up to 96 h after exercise. Plasma cfDNA levels increased from immediately postexercise until 72 h postexercise (P < 0.01). Elevation of postexercise cfDNA was correlated with both more pronounced low‐frequency fatigue (r = −0.52, P = 3.4 × 10−11) and delayed‐onset muscle soreness (r = 0.32, P = 0.00019). Levels of cfDNA change in response to severe primary and secondary muscle damage after exercise. Levels of cfDNA exhibit a stronger correlation with variables related to primary muscle damage than to secondary muscle damage, suggesting that cfDNA is a more sensitive marker of acute loss of muscle function than of secondary inflammation or damaged muscle fibres.

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Microbiome features associated with performance measures in athletic and non-athletic individuals: A case-control study

Humińska-Lisowska,

Zielińska,

Mieszkowski

et al. 2024

PLoS ONE

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The influence of human gut microbiota on health and disease is now commonly appreciated. Therefore, it is not surprising that microbiome research has found interest in the sports community, hoping to improve health and optimize performance. Comparative studies found new species or pathways that were more enriched in elites than sedentary controls. In addition, sport-specific and performance-level-specific microbiome features have been identified. However, the results remain inconclusive and indicate the need for further assessment. In this case-control study, we tested two athletic populations (i.e. strength athletes, endurance athletes) and a non-athletic, but physically active, control group across two acute exercise bouts, separated by a 2-week period, that measured explosive and high intensity fitness level (repeated 30-s all-out Wingate test (WT)) and cardiorespiratory fitness level (Bruce Treadmill Test). While we did not identify any group differences in alpha and beta diversity or significant differential abundance of microbiome components at baseline, one-third of the species identified were unique to each group. Longitudinal sample (pre- and post-exercise) analysis revealed an abundance of Alistipes communis in the strength group during the WT and 88 species with notable between-group differences during the Bruce Test. SparCC recognized Bifidobacterium longum and Bifidobacterium adolescentis, short-chain fatty acid producers with probiotic properties, species strongly associated with VO2max. Ultimately, we identified several taxa with different baseline abundances and longitudinal changes when comparing individuals based on their VO2max, average power, and maximal power parameters. Our results confirmed that the health status of individuals are consistent with assumptions about microbiome health. Furthermore, our findings indicate that microbiome features are associated with better performance previously identified in elite athletes.

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cfDNA Changes in Maximal Exercises as a Sport Adaptation Predictor

Cited by 6 publications

References 31 publications

Implications of Adipose Tissue Content for Changes in Serum Levels of Exercise-Induced Adipokines: A Quasi-Experimental Study

Implications of Adipose Tissue Content for Changes in Serum Levels of Exercise-Induced Adipokines: A Quasi-Experimental Study

Cell‐free DNA kinetics in response to muscle‐damaging exercise: A drop jump study

Microbiome features associated with performance measures in athletic and non-athletic individuals: A case-control study

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