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Metabolomic profiles associated with physical activity in White and African American adult men

BACKGROUND: Physical activity (PA) is associated with various health benefits, especially in improving chronic health conditions. However, the metabolic changes in host metabolism in response to PA remain unclear, especially in racially/ethnically diverse populations. OBJECTIVE: This study is to ass...

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Autores principales: Du, Yan, Li, Yuan-Yuan, Choi, Byeong Yeob, Fernadez, Roman, Su, Kuan-Jui, Sharma, Kumar, Qi, Lu, Yin, Zenong, Zhao, Qi, Shen, Hui, Qiu, Chuan, Zhao, Lan-Juan, Luo, Zhe, Wu, Li, Tian, Qing, Deng, Hong-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635561/
https://www.ncbi.nlm.nih.gov/pubmed/37943870
http://dx.doi.org/10.1371/journal.pone.0289077
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author Du, Yan
Li, Yuan-Yuan
Choi, Byeong Yeob
Fernadez, Roman
Su, Kuan-Jui
Sharma, Kumar
Qi, Lu
Yin, Zenong
Zhao, Qi
Shen, Hui
Qiu, Chuan
Zhao, Lan-Juan
Luo, Zhe
Wu, Li
Tian, Qing
Deng, Hong-Wen
author_facet Du, Yan
Li, Yuan-Yuan
Choi, Byeong Yeob
Fernadez, Roman
Su, Kuan-Jui
Sharma, Kumar
Qi, Lu
Yin, Zenong
Zhao, Qi
Shen, Hui
Qiu, Chuan
Zhao, Lan-Juan
Luo, Zhe
Wu, Li
Tian, Qing
Deng, Hong-Wen
author_sort Du, Yan
collection PubMed
description BACKGROUND: Physical activity (PA) is associated with various health benefits, especially in improving chronic health conditions. However, the metabolic changes in host metabolism in response to PA remain unclear, especially in racially/ethnically diverse populations. OBJECTIVE: This study is to assess the metabolic profiles associated with the frequency of PA in White and African American (AA) men. METHODS: Using the untargeted metabolomics data collected from 698 White and AA participants (mean age: 38.0±8.0, age range: 20–50) from the Louisiana Osteoporosis Study (LOS), we conducted linear regression models to examine metabolites that are associated with PA levels (assessed by self-reported regular exercise frequency levels: 0, 1–2, and ≥3 times per week) in White and AA men, respectively, as well as in the pooled sample. Covariates considered for statistical adjustments included race (only for the pooled sample), age, BMI, waist circumstance, smoking status, and alcohol drinking. RESULTS: Of the 1133 untargeted compounds, we identified 7 metabolites associated with PA levels in the pooled sample after covariate adjustment with a false discovery rate of 0.15. Specifically, compared to participants who did not exercise, those who exercised at a frequency ≥3 times/week showed higher abundances in uracil, orotate, 1-(1-enyl-palmitoyl)-2-oleoyl-GPE (P-16:0/18:1) (GPE), threonate, and glycerate, but lower abundances in salicyluric glucuronide and adenine in the pooled sample. However, in Whites, salicyluric glucuronide and orotate were not significant. Adenine, GPE, and threonate were not significant in AAs. In addition, the seven metabolites were not significantly different between participants who exercised ≥3 times/week and 1–2 times/week, nor significantly different between participants with 1–2 times/week and 0/week in the pooled sample and respective White and AA groups. CONCLUSIONS: Metabolite responses to PA are dose sensitive and may differ between White and AA populations. The identified metabolites may help advance our knowledge of guiding precision PA interventions. Studies with rigorous study designs are warranted to elucidate the relationship between PA and metabolites.
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spelling pubmed-106355612023-11-10 Metabolomic profiles associated with physical activity in White and African American adult men Du, Yan Li, Yuan-Yuan Choi, Byeong Yeob Fernadez, Roman Su, Kuan-Jui Sharma, Kumar Qi, Lu Yin, Zenong Zhao, Qi Shen, Hui Qiu, Chuan Zhao, Lan-Juan Luo, Zhe Wu, Li Tian, Qing Deng, Hong-Wen PLoS One Research Article BACKGROUND: Physical activity (PA) is associated with various health benefits, especially in improving chronic health conditions. However, the metabolic changes in host metabolism in response to PA remain unclear, especially in racially/ethnically diverse populations. OBJECTIVE: This study is to assess the metabolic profiles associated with the frequency of PA in White and African American (AA) men. METHODS: Using the untargeted metabolomics data collected from 698 White and AA participants (mean age: 38.0±8.0, age range: 20–50) from the Louisiana Osteoporosis Study (LOS), we conducted linear regression models to examine metabolites that are associated with PA levels (assessed by self-reported regular exercise frequency levels: 0, 1–2, and ≥3 times per week) in White and AA men, respectively, as well as in the pooled sample. Covariates considered for statistical adjustments included race (only for the pooled sample), age, BMI, waist circumstance, smoking status, and alcohol drinking. RESULTS: Of the 1133 untargeted compounds, we identified 7 metabolites associated with PA levels in the pooled sample after covariate adjustment with a false discovery rate of 0.15. Specifically, compared to participants who did not exercise, those who exercised at a frequency ≥3 times/week showed higher abundances in uracil, orotate, 1-(1-enyl-palmitoyl)-2-oleoyl-GPE (P-16:0/18:1) (GPE), threonate, and glycerate, but lower abundances in salicyluric glucuronide and adenine in the pooled sample. However, in Whites, salicyluric glucuronide and orotate were not significant. Adenine, GPE, and threonate were not significant in AAs. In addition, the seven metabolites were not significantly different between participants who exercised ≥3 times/week and 1–2 times/week, nor significantly different between participants with 1–2 times/week and 0/week in the pooled sample and respective White and AA groups. CONCLUSIONS: Metabolite responses to PA are dose sensitive and may differ between White and AA populations. The identified metabolites may help advance our knowledge of guiding precision PA interventions. Studies with rigorous study designs are warranted to elucidate the relationship between PA and metabolites. Public Library of Science 2023-11-09 /pmc/articles/PMC10635561/ /pubmed/37943870 http://dx.doi.org/10.1371/journal.pone.0289077 Text en © 2023 Du et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Du, Yan
Li, Yuan-Yuan
Choi, Byeong Yeob
Fernadez, Roman
Su, Kuan-Jui
Sharma, Kumar
Qi, Lu
Yin, Zenong
Zhao, Qi
Shen, Hui
Qiu, Chuan
Zhao, Lan-Juan
Luo, Zhe
Wu, Li
Tian, Qing
Deng, Hong-Wen
Metabolomic profiles associated with physical activity in White and African American adult men
title Metabolomic profiles associated with physical activity in White and African American adult men
title_full Metabolomic profiles associated with physical activity in White and African American adult men
title_fullStr Metabolomic profiles associated with physical activity in White and African American adult men
title_full_unstemmed Metabolomic profiles associated with physical activity in White and African American adult men
title_short Metabolomic profiles associated with physical activity in White and African American adult men
title_sort metabolomic profiles associated with physical activity in white and african american adult men
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635561/
https://www.ncbi.nlm.nih.gov/pubmed/37943870
http://dx.doi.org/10.1371/journal.pone.0289077
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