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Yang Y, Feng Z, Luo YH, Chen JM, Zhang Y, Liao YJ, Jiang H, Long Y, Wei B. Exercise-Induced Central Fatigue: Biomarkers, and Non-Medicinal Interventions. Aging Dis 2024:AD.2024.0567. [PMID: 39012671 DOI: 10.14336/ad.2024.0567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 06/27/2024] [Indexed: 07/17/2024] Open
Abstract
Fatigue, commonly experienced in daily life, is a feeling of extreme tiredness, shortage or lack of energy, exhaustion, and difficulty in performing voluntary tasks. Central fatigue, defined as a progressive failure to voluntarily activate the muscle, is typically linked to moderate- or light-intensity exercise. However, in some instances, high-intensity exercise can also trigger the onset of central fatigue. Exercise-induced central fatigue often precedes the decline in physical performance in well-trained athletes. This leads to a reduction in nerve impulses, decreased neuronal excitability, and an imbalance in brain homeostasis, all of which can adversely impact an athlete's performance and the longevity of their sports career. Therefore, implementing strategies to delay the onset of exercise-induced central fatigue is vital for enhancing athletic performance and safeguarding athletes from the debilitating effects of fatigue. In this review, we discuss the structural basis, measurement methods, and biomarkers of exercise-induced central fatigue. Furthermore, we propose non-pharmacological interventions to mitigate its effects, which can potentially foster improvements in athletes' performances in a healthful and sustainable manner.
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Affiliation(s)
- Ying Yang
- Institute of Translational Medicine, School of Basic Medical, Department of Special Medicine, School of Public Health, Hengyang Medical College, University of South China, Hengyang, 421001, China
| | - Zhi Feng
- Institute of Translational Medicine, School of Basic Medical, Department of Special Medicine, School of Public Health, Hengyang Medical College, University of South China, Hengyang, 421001, China
| | - Yu-Hang Luo
- Institute of Translational Medicine, School of Basic Medical, Department of Special Medicine, School of Public Health, Hengyang Medical College, University of South China, Hengyang, 421001, China
| | - Jue-Miao Chen
- Institute of Translational Medicine, School of Basic Medical, Department of Special Medicine, School of Public Health, Hengyang Medical College, University of South China, Hengyang, 421001, China
| | - Yu Zhang
- Institute of Translational Medicine, School of Basic Medical, Department of Special Medicine, School of Public Health, Hengyang Medical College, University of South China, Hengyang, 421001, China
| | - Yi-Jun Liao
- Institute of Translational Medicine, School of Basic Medical, Department of Special Medicine, School of Public Health, Hengyang Medical College, University of South China, Hengyang, 421001, China
| | - Hui Jiang
- Institute of Translational Medicine, School of Basic Medical, Department of Special Medicine, School of Public Health, Hengyang Medical College, University of South China, Hengyang, 421001, China
| | - Yinxi Long
- Department of Neurology, Affiliated Hengyang Hospital of Hunan Normal University &;amp Hengyang Central Hospital, Hengyang, 421001, China
| | - Bo Wei
- Institute of Translational Medicine, School of Basic Medical, Department of Special Medicine, School of Public Health, Hengyang Medical College, University of South China, Hengyang, 421001, China
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Chmielewski G, Majewski MS, Kuna J, Mikiewicz M, Krajewska-Włodarczyk M. Fatigue in Inflammatory Joint Diseases. Int J Mol Sci 2023; 24:12040. [PMID: 37569413 PMCID: PMC10418999 DOI: 10.3390/ijms241512040] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
Fatigue is a prevalent symptom in various rheumatic diseases, such as rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis. It is characterised as a subjective, enduring feeling of generalised tiredness or exhaustion, impacting the patient's life quality and exacerbating disability. The fatigue nature is multifaceted, encompassing physiological, psychological, and social factors, and although the exact cause of inflammatory joint diseases is not fully understood, several factors are believed to contribute to its development. Despite high prevalence and importance, the symptom is often underestimated in clinical practice. Chronic inflammation, commonly associated with rheumatic diseases, has been proposed as a potential contributor to fatigue development. While current treatments effectively target inflammation and reduce disease activity, fatigue remains a persistent problem. Clinical evaluation of rheumatic diseases primarily relies on objective criteria, whereas fatigue, being a subjective symptom, is solely experienced and reported by the patient. Managing fatigue in inflammatory joint diseases involves a multifaceted approach. Identifying and comprehensively assessing the subjective components of fatigue in individual patients is crucial for effectively managing this symptom in everyday clinical practice.
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Affiliation(s)
- Grzegorz Chmielewski
- Department of Rheumatology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, 10-900 Olsztyn, Poland; (G.C.); (J.K.)
| | - Michał S. Majewski
- Department of Pharmacology and Toxicology, Faculty of Medicine, University of Warmia and Mazury in Olsztyn, 10-082 Olsztyn, Poland;
| | - Jakub Kuna
- Department of Rheumatology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, 10-900 Olsztyn, Poland; (G.C.); (J.K.)
| | - Mateusz Mikiewicz
- Department of Pathological Anatomy, Faculty of Veterinary Medicine, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland;
| | - Magdalena Krajewska-Włodarczyk
- Department of Rheumatology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, 10-900 Olsztyn, Poland; (G.C.); (J.K.)
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Lee YH, Suk C, Shin SI, Hong JY. Salivary cortisol, dehydroepiandrosterone, and chromogranin A levels in patients with gingivitis and periodontitis and a novel biomarker for psychological stress. Front Endocrinol (Lausanne) 2023; 14:1147739. [PMID: 37113482 PMCID: PMC10126469 DOI: 10.3389/fendo.2023.1147739] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/20/2023] [Indexed: 04/29/2023] Open
Abstract
Introduction This study aimed to investigate the neuroendocrine responses based on cortisol, dehydroepiandrosterone (DHEA), cortisol/DHEA ratio, and chromogranin A levels, which reflect the activity of the hypothalamic-pituitary-adrenal axis, according to the presence or absence of psychological stress in patients with gingivitis and periodontitis compared to that in healthy controls. Methods In total, 117 patients (60 women, mean age: 36.29 ± 19.03 years) participated in this case-control study, comprising 32 healthy controls, 49 patients with gingivitis, and 36 patients with periodontitis. We investigated the presence of psychological stress and salivary characteristics, and analyzed the stress-related biomarkers of cortisol, DHEA, cortisol/DHEA ratio, and chromogranin A in the stimulated saliva. Results Salivary cortisol and chromogranin A levels increased with the severity of periodontal disease; their levels were the highest in the periodontitis group and were significantly higher in the following descending order: periodontitis, gingivitis, and healthy control groups (all values of p < 0.001). Additionally, the DHEA levels and cortisol/DHEA ratio were higher in the periodontitis group than those in the healthy control group (all values of p < 0.001). A multivariate logistic regression analysis revealed that the factors predicting above-average cortisol levels were periodontitis (odds ratio [OR] = 256.829; p < 0.001), women (OR = 6.365; p = 0.004), and psychological stress (OR = 6.036; p = 0.007); those predicting above-average cortisol/DHEA ratios were periodontitis (OR = 11.436; p < 0.001), psychological stress (OR = 3.977; p = 0.003), and women (OR = 2.890; p = 0.026). Thus, periodontitis and psychological stress were significant and strong predictors of above-average cortisol levels and cortisol/DHEA ratios. In the gingivitis group, salivary cortisol levels (r = 0.381, p = 0.007) and cortisol/DHEA ratios (r = 0.479, p < 0.001) were correlated with the presence of psychological stress. In the periodontitis group, increased cortisol/DHEA ratios (r = 0.412, p = 0.013) and lowered salivary buffer capacities (r = -0.334, p = 0.047) were correlated with the presence of psychological stress. Conclusion Periodontitis is a multifactorial disease resulting in inflammatory tissue destruction, which differs from gingivitis and a healthy state. Differences in stress-related neuroendocrine markers were revealed based on the severity of periodontal disease. The biomarkers that could be classified according to disease severity were salivary cortisol and chromogranin A levels. Above-average cortisol levels and cortisol/DHEA ratios are significant predictors of psychological stress in patients with gingivitis and periodontitis.
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Affiliation(s)
- Yeon-Hee Lee
- Department of Orofacial Pain and Oral Medicine, Kyung Hee University Dental Hospital, Kyung Hee University, Seoul, Republic of Korea
- *Correspondence: Yeon-Hee Lee,
| | - Chon Suk
- Department of Endocrinology, Kyung Hee University Medical Center, Kyung Hee University, Seoul, Republic of Korea
| | - Seung-Il Shin
- Department of Periodontology, Periodontal-Implant Clinical Research Institute, School of Dentistry, Kyung Hee University, Seoul, Republic of Korea
| | - Ji-Youn Hong
- Department of Periodontology, Periodontal-Implant Clinical Research Institute, School of Dentistry, Kyung Hee University, Seoul, Republic of Korea
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Lee SM, Kim YH, Kim YR, Lee BR, Shin S, Kim JY, Jung IC, Lee MY. Anti-fatigue potential of Pinus koraiensis leaf extract in an acute exercise-treated mouse model. Biomed Pharmacother 2022; 153:113501. [DOI: 10.1016/j.biopha.2022.113501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 11/02/2022] Open
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Zhang J, Chen M, Peng Y, Li S, Han D, Ren S, Qin K, Li S, Han T, Wang Y, Gao Z. Wearable biosensors for human fatigue diagnosis: A review. Bioeng Transl Med 2022; 8:e10318. [PMID: 36684114 PMCID: PMC9842037 DOI: 10.1002/btm2.10318] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 03/11/2022] [Accepted: 03/13/2022] [Indexed: 02/01/2023] Open
Abstract
Fatigue causes deleterious effects to physical and mental health of human being and may cause loss of lives. Therefore, the adverse effects of fatigue on individuals and the society are massive. With the ever-increasing frequency of overtraining among modern military and sports personnel, timely, portable and accurate fatigue diagnosis is essential to avoid fatigue-induced accidents. However, traditional detection methods require complex sample preparation and blood sampling processes, which cannot meet the timeliness and portability of fatigue diagnosis. With the development of flexible materials and biosensing technology, wearable biosensors have attracted increased attention to the researchers. Wearable biosensors collect biomarkers from noninvasive biofluids, such as sweat, saliva, and tears, followed by biosensing with the help of biosensing modules continuously and quantitatively. The detection signal can then be transmitted through wireless communication modules that constitute a method for real-time understanding of abnormality. Recent developments of wearable biosensors are focused on miniaturized wearable electrochemistry and optical biosensors for metabolites detection, of which, few have exhibited satisfactory results in medical diagnosis. However, detection performance limits the wide-range applicability of wearable fatigue diagnosis. In this article, the application of wearable biosensors in fatigue diagnosis has been discussed. In fact, exploration of the composition of different biofluids and their potential toward fatigue diagnosis have been discussed here for the very first time. Moreover, discussions regarding the current bottlenecks in wearable fatigue biosensors and the latest advancements in biochemical reaction and data communication modules have been incorporated herein. Finally, the main challenges and opportunities were discussed for wearable fatigue diagnosis in the future.
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Affiliation(s)
- Jingyang Zhang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Mengmeng Chen
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Yuan Peng
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Shuang Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Shuyue Ren
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Kang Qin
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Sen Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Tie Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Yu Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food SafetyInstitute of Environmental and Operational MedicineTianjinP.R. China
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