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Peng S, Lin Y, Hsu C, Fu T, Wang J. Effects of concentric and eccentric exercise regimens on bioenergetic efficiency of lymphocytes in sedentary males. Eur J Sport Sci 2024; 24:1830-1843. [PMID: 39520384 PMCID: PMC11621373 DOI: 10.1002/ejsc.12221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 10/21/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024]
Abstract
Eccentric exercise training (EET) increases physical performance while having lower metabolic demand than concentric exercise training (CET). Whether EET influences bioenergetic efficiency in peripheral blood mononuclear cells (PBMCs) remains unclear. This study investigates the effects of EET and CET on PBMC phenotypes and mitochondrial functions in blood. Thirty three sedentary healthy males were randomly assigned to either EET (n = 11) or CET (n = 11) that performed at progressively increased from 60% to 80% of maximal absolute workload for 30 min/day, 5 days/week for 6 weeks, or a control group (n = 11) that did not receive any exercise intervention. A graded exercise stress test (GXT) was performed before and after the intervention. PBMC phenotypes and mitochondrial respiratory capacity were analyzed using flowcytometry and high-resolution respirometry, respectively. In the same absolute workload, EET elicited lower heart rate and rating of perceived exertion than CET. However, EET as CET increased the VO2 level at the ventilatory threshold. Notably, both EET and CET increased central memory (CD45RO+/CD62+/CD3+) T cells and decreased effector memory T cells reexpressing CD45RA (CD45RA+/CD62-/CD3+). Moreover, the two exercise regimens diminished the loss of mitochondrial membrane potential (ΔΨm) caused by GXT, increased maximal/reserve O2 consumption rates (OCR), and bioenergetic health index in intact PBMCs and enhanced complex I-/II-related OCR in PBMCs with a substrate-rich environment. EET improves aerobic fitness with a lower cardiovascular response to exercise than CET. Moreover, EET as CET reduces senescent T-cell distribution in blood and improves PBMC bioenergetic efficiency by stabilizing ΔΨm and increasing capacity of oxidative phosphorylation.
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Affiliation(s)
- Sheng‐Chiao Peng
- Healthy Aging Research CenterGraduate Institute of Rehabilitation ScienceMedical CollegeChang Gung UniversityTaoyuanTaiwan
| | - Yu‐Ting Lin
- Healthy Aging Research CenterGraduate Institute of Rehabilitation ScienceMedical CollegeChang Gung UniversityTaoyuanTaiwan
| | - Chih‐Chin Hsu
- Department of Physical Medicine and RehabilitationHeart Failure CenterChang Gung Memorial HospitalKeelungTaiwan
| | - Tieh‐Cheng Fu
- Department of Physical Medicine and RehabilitationHeart Failure CenterChang Gung Memorial HospitalKeelungTaiwan
| | - Jong‐Shyan Wang
- Healthy Aging Research CenterGraduate Institute of Rehabilitation ScienceMedical CollegeChang Gung UniversityTaoyuanTaiwan
- Department of Physical Medicine and RehabilitationHeart Failure CenterChang Gung Memorial HospitalKeelungTaiwan
- Research Center for Chinese Herbal MedicineCollege of Human EcologyChang Gung University of Science and TechnologyTaoyuanTaiwan
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Walsh JA, McAndrew DJ, Shemmell J, Stapley PJ. Reliability and Variability of Lower Limb Muscle Activation as Indicators of Familiarity to Submaximal Eccentric Cycling. Front Physiol 2022; 13:953517. [PMID: 35874539 PMCID: PMC9304807 DOI: 10.3389/fphys.2022.953517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
Submaximal eccentric (ECC) cycling exercise is commonly used in research studies. No previous study has specified the required time naïve participants take to familiarize with submaximal ECC cycling. Therefore, we designed this study to determine whether critical indicators of cycling reliability and variability stabilize during 15 min of submaximal, semi-recumbent ECC cycling (ECC cycling). Twenty-two participants, aged between 18–51 years, volunteered to complete a single experimental session. Each participant completed three peak eccentric torque protocol (PETP) tests, nine countermovement jumps and 15 min of submaximal (i.e., 10% peak power output produced during the PETP tests) ECC cycling. Muscle activation patterns were recorded from six muscles (rectus femoris, RF; vastus lateralis, VL; vastus medialis, VM; soleus, SOL; medial gastrocnemius, GM; tibialis anterior, TA), during prescribed-intensity ECC cycling, using electromyography (EMG). Minute-to-minute changes in the reliability and variability of EMG patterns were examined using intra-class correlation coefficient (ICC) and variance ratios (VR). Differences between target and actual power output were also used as an indicator of familiarization. Activation patterns for 4/6 muscles (RF, VL, VM and GM) became more consistent over the session, the RF, VL and VM increasing from moderate (ICC = 0.5–0.75) to good (ICC = 0.75–0.9) reliability by the 11th minute of cycling and the GM good reliability from the 1st minute (ICC = 0.79, ICC range = 0.70–0.88). Low variability (VR ≤ 0.40) was maintained for VL, VM and GM from the 8th, 8th and 1st minutes, respectively. We also observed a significant decrease in the difference between actual and target power output (χ214 = 30.895, p = 0.006, W = 0.105), expressed primarily between the 2nd and 3rd minute of cycling (Z = -2.677, p = 0.007). Indicators of familiarization during ECC cycling, including deviations from target power output levels and the reliability and variability of muscle activation patterns stabilized within 15 min of cycling. Based upon this data, it would be reasonable for future studies to allocate ∼ 15 min to familiarize naïve participants with a submaximal ECC cycling protocol.
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Affiliation(s)
- Joel A. Walsh
- Neural Control of Movement Laboratory, School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia
| | - Darryl J. McAndrew
- Neural Control of Movement Laboratory, School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia
- Graduate School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia
| | - Jonathan Shemmell
- Neuromotor Adaptation Laboratory, School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia
| | - Paul J. Stapley
- Neural Control of Movement Laboratory, School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia
- *Correspondence: Paul J. Stapley,
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