Paulo F de Almeida-Neto, E Alana D Fernandes, Gilmara G de Assis, Katsuhiko Suzuki, Roberto F da Costa, Lívia de Melo Atanásio, Vanessa Carla Monteiro Pinto, Felipe J Aidar, Breno Guilherme de Araújo Tinôco Cabral, Paulo Moreira Silva Dantas
{"title":"反复冲刺对男性运动员免疫调节的影响以及无脂量、生物成熟和饮食炎症指数的作用:一项具有训练负荷控制见解的准实验研究。","authors":"Paulo F de Almeida-Neto, E Alana D Fernandes, Gilmara G de Assis, Katsuhiko Suzuki, Roberto F da Costa, Lívia de Melo Atanásio, Vanessa Carla Monteiro Pinto, Felipe J Aidar, Breno Guilherme de Araújo Tinôco Cabral, Paulo Moreira Silva Dantas","doi":"10.3389/fspor.2025.1662761","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Repeated sprint exercise (RSE) induces inflammation, which may be modulated by fat-free mass (FFM), biological maturation (BM), and dietary patterns, assessed by the Dietary Inflammatory Index (DII).</p><p><strong>Aim: </strong>To examine the influences of FFM, BM, and DII on cytokine responses to RSE in male athletes.</p><p><strong>Methods: </strong>A study with a quasi-experimental approach and cross-sectional design with a sample of 30 male athletes (20-adolescents, 10-adults). Blood samples were collected pre-, immediately after, 2 h and 24 h after RSE (3-sets of 6 × 35-m sprints). IL-1β, IL-6, IL-8, and IL-10 were analyzed via flow cytometry. FFM was assessed by DXA, BM by predictive models, and DII by 24 h dietary recalls. Prior exploratory analyses included Spearman's and partial correlations, and Mann-Whitney-<i>U</i>-tests. Main analyses were conducted using Generalized-Linear-Mixed-Models (GLMM).</p><p><strong>Results: </strong>The GLMMs confirmed that BM, FFM, and DII significantly influenced cytokine responses (<i>p</i> < 0.05). FFM emerged as a significant predictor of IL-1β (<i>p</i> = 0.0023). For IL-6, there was a time effect (<i>p</i> < 0.001) and a Time × BM interaction (<i>p</i> = 0.040), with FFM and DII being significant predictors in both groups. A similar interaction was observed for IL-8 (<i>p</i> = 0.036). For IL-10, there was a Time × BM interaction (<i>p</i> < 0.001), where adults showed superiority over adolescents (<i>p</i> < 0.05). <i>Post hoc</i> analyses revealed that adolescents with lower FFM had a more prolonged inflammatory response (increased-IL-6), while adults with higher FFM demonstrated a more effective anti-inflammatory capacity (increased-IL-10).</p><p><strong>Conclusion: </strong>FFM, BM, and DII play key roles in shaping the inflammatory response to RSE and should be considered when prescribing training loads to optimize recovery and performance.</p>","PeriodicalId":12716,"journal":{"name":"Frontiers in Sports and Active Living","volume":"7 ","pages":"1662761"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12500423/pdf/","citationCount":"0","resultStr":"{\"title\":\"The effect of repeated sprints on immunological modulation and the role of fat-free mass, biological maturation and dietary inflammatory index in male athletes: a quasi-experimental study with insights for training loads control.\",\"authors\":\"Paulo F de Almeida-Neto, E Alana D Fernandes, Gilmara G de Assis, Katsuhiko Suzuki, Roberto F da Costa, Lívia de Melo Atanásio, Vanessa Carla Monteiro Pinto, Felipe J Aidar, Breno Guilherme de Araújo Tinôco Cabral, Paulo Moreira Silva Dantas\",\"doi\":\"10.3389/fspor.2025.1662761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Repeated sprint exercise (RSE) induces inflammation, which may be modulated by fat-free mass (FFM), biological maturation (BM), and dietary patterns, assessed by the Dietary Inflammatory Index (DII).</p><p><strong>Aim: </strong>To examine the influences of FFM, BM, and DII on cytokine responses to RSE in male athletes.</p><p><strong>Methods: </strong>A study with a quasi-experimental approach and cross-sectional design with a sample of 30 male athletes (20-adolescents, 10-adults). Blood samples were collected pre-, immediately after, 2 h and 24 h after RSE (3-sets of 6 × 35-m sprints). IL-1β, IL-6, IL-8, and IL-10 were analyzed via flow cytometry. FFM was assessed by DXA, BM by predictive models, and DII by 24 h dietary recalls. Prior exploratory analyses included Spearman's and partial correlations, and Mann-Whitney-<i>U</i>-tests. Main analyses were conducted using Generalized-Linear-Mixed-Models (GLMM).</p><p><strong>Results: </strong>The GLMMs confirmed that BM, FFM, and DII significantly influenced cytokine responses (<i>p</i> < 0.05). FFM emerged as a significant predictor of IL-1β (<i>p</i> = 0.0023). For IL-6, there was a time effect (<i>p</i> < 0.001) and a Time × BM interaction (<i>p</i> = 0.040), with FFM and DII being significant predictors in both groups. A similar interaction was observed for IL-8 (<i>p</i> = 0.036). For IL-10, there was a Time × BM interaction (<i>p</i> < 0.001), where adults showed superiority over adolescents (<i>p</i> < 0.05). <i>Post hoc</i> analyses revealed that adolescents with lower FFM had a more prolonged inflammatory response (increased-IL-6), while adults with higher FFM demonstrated a more effective anti-inflammatory capacity (increased-IL-10).</p><p><strong>Conclusion: </strong>FFM, BM, and DII play key roles in shaping the inflammatory response to RSE and should be considered when prescribing training loads to optimize recovery and performance.</p>\",\"PeriodicalId\":12716,\"journal\":{\"name\":\"Frontiers in Sports and Active Living\",\"volume\":\"7 \",\"pages\":\"1662761\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12500423/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Sports and Active Living\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fspor.2025.1662761\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Sports and Active Living","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fspor.2025.1662761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
The effect of repeated sprints on immunological modulation and the role of fat-free mass, biological maturation and dietary inflammatory index in male athletes: a quasi-experimental study with insights for training loads control.
Background: Repeated sprint exercise (RSE) induces inflammation, which may be modulated by fat-free mass (FFM), biological maturation (BM), and dietary patterns, assessed by the Dietary Inflammatory Index (DII).
Aim: To examine the influences of FFM, BM, and DII on cytokine responses to RSE in male athletes.
Methods: A study with a quasi-experimental approach and cross-sectional design with a sample of 30 male athletes (20-adolescents, 10-adults). Blood samples were collected pre-, immediately after, 2 h and 24 h after RSE (3-sets of 6 × 35-m sprints). IL-1β, IL-6, IL-8, and IL-10 were analyzed via flow cytometry. FFM was assessed by DXA, BM by predictive models, and DII by 24 h dietary recalls. Prior exploratory analyses included Spearman's and partial correlations, and Mann-Whitney-U-tests. Main analyses were conducted using Generalized-Linear-Mixed-Models (GLMM).
Results: The GLMMs confirmed that BM, FFM, and DII significantly influenced cytokine responses (p < 0.05). FFM emerged as a significant predictor of IL-1β (p = 0.0023). For IL-6, there was a time effect (p < 0.001) and a Time × BM interaction (p = 0.040), with FFM and DII being significant predictors in both groups. A similar interaction was observed for IL-8 (p = 0.036). For IL-10, there was a Time × BM interaction (p < 0.001), where adults showed superiority over adolescents (p < 0.05). Post hoc analyses revealed that adolescents with lower FFM had a more prolonged inflammatory response (increased-IL-6), while adults with higher FFM demonstrated a more effective anti-inflammatory capacity (increased-IL-10).
Conclusion: FFM, BM, and DII play key roles in shaping the inflammatory response to RSE and should be considered when prescribing training loads to optimize recovery and performance.