Acute Impact of Recovery on the Restoration of Cellular Immunological Homeostasis

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Acute Impact of Recovery on the Restoration of Cellular Immunological Homeostasis. / Wahl, Patrick; Mathes, Sebastian; Bloch, Wilhelm; Zimmer, Philipp.

in: International journal of sports medicine, Jahrgang 41, Nr. 1, 01.2020, S. 12-20.

Publikationen: Beitrag in FachzeitschriftZeitschriftenaufsätzeForschungBegutachtung

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@article{280e1b375c324bd8830ce0a17f32484a,
title = "Acute Impact of Recovery on the Restoration of Cellular Immunological Homeostasis",
abstract = "In view of the growing amount of (intense) training in competitive sports, quick recovery plays a superior role in performance restoration. The aim of the present study was to compare the effects of active versus passive recovery during high-intensity interval training (HIIT) and sprint interval training (SIT) protocols on acute alterations of circulating blood cells. Twelve male triathletes/cyclists performed 1) a HIIT consisting of 4×4 min intervals, 2) a SIT consisting of 4×30s intervals, separated by either active or passive recovery. Blood samples were collected immediately before and at 0', 30', 60' and 180' (minutes) post-exercise. Outcomes comprised leukocytes, lymphocytes, neutrophils, mixed cell count, platelets, cellular inflammation markers (neutrophil/lymphocyte-ratio (NLR), platelet/lymphocyte-ratio (PLR)), and the systemic immune-inflammation index (SII). In view of HIIT, passive recovery attenuated the changes in lymphocytes and neutrophils compared to active recovery. In view of SIT, active recovery attenuated the increase in leukocytes, lymphocytes and absolute mixed cell count compared to passive recovery. Both protocols, independent of recovery, significantly increased NLR, PLR and SII up to 3h of recovery compared to pre-exercise values. The mode of recovery influences short-term alterations in the circulating fraction of leukocytes, lymphocytes, neutrophils and the mixed cell count, which might be associated with different hormonal and metabolic stress responses due to the mode of recovery.",
keywords = "Blood cell count, Cellular inflammation markers, High-intensity training, Leukocytes, Systemic immune-inflammation-index, Adult, Biomarkers/blood, Blood Cell Count, Erythrocyte Count, High-Intensity Interval Training/methods, Homeostasis/physiology, Humans, Inflammation/blood, Leukocyte Count, Lymphocyte Count, Male, Neutrophils/metabolism, Physical Exertion/physiology, Platelet Count, Young Adult",
author = "Patrick Wahl and Sebastian Mathes and Wilhelm Bloch and Philipp Zimmer",
note = "{\textcopyright} Georg Thieme Verlag KG Stuttgart · New York.",
year = "2020",
month = jan,
doi = "10.1055/a-1015-0453",
language = "English",
volume = "41",
pages = "12--20",
journal = "International journal of sports medicine",
issn = "0172-4622",
publisher = "Georg Thieme Verlag",
number = "1",

}

RIS

TY - JOUR

T1 - Acute Impact of Recovery on the Restoration of Cellular Immunological Homeostasis

AU - Wahl, Patrick

AU - Mathes, Sebastian

AU - Bloch, Wilhelm

AU - Zimmer, Philipp

N1 - © Georg Thieme Verlag KG Stuttgart · New York.

PY - 2020/1

Y1 - 2020/1

N2 - In view of the growing amount of (intense) training in competitive sports, quick recovery plays a superior role in performance restoration. The aim of the present study was to compare the effects of active versus passive recovery during high-intensity interval training (HIIT) and sprint interval training (SIT) protocols on acute alterations of circulating blood cells. Twelve male triathletes/cyclists performed 1) a HIIT consisting of 4×4 min intervals, 2) a SIT consisting of 4×30s intervals, separated by either active or passive recovery. Blood samples were collected immediately before and at 0', 30', 60' and 180' (minutes) post-exercise. Outcomes comprised leukocytes, lymphocytes, neutrophils, mixed cell count, platelets, cellular inflammation markers (neutrophil/lymphocyte-ratio (NLR), platelet/lymphocyte-ratio (PLR)), and the systemic immune-inflammation index (SII). In view of HIIT, passive recovery attenuated the changes in lymphocytes and neutrophils compared to active recovery. In view of SIT, active recovery attenuated the increase in leukocytes, lymphocytes and absolute mixed cell count compared to passive recovery. Both protocols, independent of recovery, significantly increased NLR, PLR and SII up to 3h of recovery compared to pre-exercise values. The mode of recovery influences short-term alterations in the circulating fraction of leukocytes, lymphocytes, neutrophils and the mixed cell count, which might be associated with different hormonal and metabolic stress responses due to the mode of recovery.

AB - In view of the growing amount of (intense) training in competitive sports, quick recovery plays a superior role in performance restoration. The aim of the present study was to compare the effects of active versus passive recovery during high-intensity interval training (HIIT) and sprint interval training (SIT) protocols on acute alterations of circulating blood cells. Twelve male triathletes/cyclists performed 1) a HIIT consisting of 4×4 min intervals, 2) a SIT consisting of 4×30s intervals, separated by either active or passive recovery. Blood samples were collected immediately before and at 0', 30', 60' and 180' (minutes) post-exercise. Outcomes comprised leukocytes, lymphocytes, neutrophils, mixed cell count, platelets, cellular inflammation markers (neutrophil/lymphocyte-ratio (NLR), platelet/lymphocyte-ratio (PLR)), and the systemic immune-inflammation index (SII). In view of HIIT, passive recovery attenuated the changes in lymphocytes and neutrophils compared to active recovery. In view of SIT, active recovery attenuated the increase in leukocytes, lymphocytes and absolute mixed cell count compared to passive recovery. Both protocols, independent of recovery, significantly increased NLR, PLR and SII up to 3h of recovery compared to pre-exercise values. The mode of recovery influences short-term alterations in the circulating fraction of leukocytes, lymphocytes, neutrophils and the mixed cell count, which might be associated with different hormonal and metabolic stress responses due to the mode of recovery.

KW - Blood cell count

KW - Cellular inflammation markers

KW - High-intensity training

KW - Leukocytes

KW - Systemic immune-inflammation-index

KW - Adult

KW - Biomarkers/blood

KW - Blood Cell Count

KW - Erythrocyte Count

KW - High-Intensity Interval Training/methods

KW - Homeostasis/physiology

KW - Humans

KW - Inflammation/blood

KW - Leukocyte Count

KW - Lymphocyte Count

KW - Male

KW - Neutrophils/metabolism

KW - Physical Exertion/physiology

KW - Platelet Count

KW - Young Adult

UR - https://www.mendeley.com/catalogue/cd5a1314-3453-353b-a960-7b4f8f5a35ea/

U2 - 10.1055/a-1015-0453

DO - 10.1055/a-1015-0453

M3 - Journal articles

C2 - 31747702

VL - 41

SP - 12

EP - 20

JO - International journal of sports medicine

JF - International journal of sports medicine

SN - 0172-4622

IS - 1

ER -

ID: 5043695