Metabolomic profiles associated with physical activity in White and African American adult men
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. This study is to assess the metabolic profi...
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| Veröffentlicht in: | PloS one 2023-11, Vol.18 (11), p.e0289077 |
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| creator | 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 |
| description | 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.
This study is to assess the metabolic profiles associated with the frequency of PA in White and African American (AA) men.
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.
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.
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. |
| doi_str_mv | 10.1371/journal.pone.0289077 |
| format | Article |
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This study is to assess the metabolic profiles associated with the frequency of PA in White and African American (AA) men.
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.
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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0289077</identifier><identifier>PMID: 37943870</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adenine ; Adult ; African American men ; African Americans ; Age ; Behavior ; Biology and Life Sciences ; Black or African American ; Cardiovascular disease ; Chronic illnesses ; Demographic aspects ; Diabetes ; Diet ; Drinking behavior ; Ethnicity ; Exercise ; Glucuronides ; Health aspects ; Humans ; Informatics ; Lifestyles ; Male ; Medicine and Health Sciences ; Metabolites ; Metabolome ; Metabolomics ; Methods ; Middle Aged ; Osteoporosis ; Physical activity ; Physical fitness ; Physiological aspects ; Population studies ; Populations ; Proteins ; Pyrimidines ; Regression analysis ; Regression models ; Self report ; Software ; Spectrum analysis ; Statistical analysis ; Type 2 diabetes ; Uracil ; Variables ; White ; White men ; Young Adult</subject><ispartof>PloS one, 2023-11, Vol.18 (11), p.e0289077</ispartof><rights>Copyright: © 2023 Du et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Du et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Du et al 2023 Du et al</rights><rights>2023 Du et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c693t-e9a14698cafb9278dd8fd0294d939e1b5d5c978010e16c26c322809d9f67d6ff3</citedby><cites>FETCH-LOGICAL-c693t-e9a14698cafb9278dd8fd0294d939e1b5d5c978010e16c26c322809d9f67d6ff3</cites><orcidid>0000-0003-0683-3989 ; 0000-0002-4205-1442 ; 0000-0002-5163-9774</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635561/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635561/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37943870$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Honda, Trenton</contributor><creatorcontrib>Du, Yan</creatorcontrib><creatorcontrib>Li, Yuan-Yuan</creatorcontrib><creatorcontrib>Choi, Byeong Yeob</creatorcontrib><creatorcontrib>Fernadez, Roman</creatorcontrib><creatorcontrib>Su, Kuan-Jui</creatorcontrib><creatorcontrib>Sharma, Kumar</creatorcontrib><creatorcontrib>Qi, Lu</creatorcontrib><creatorcontrib>Yin, Zenong</creatorcontrib><creatorcontrib>Zhao, Qi</creatorcontrib><creatorcontrib>Shen, Hui</creatorcontrib><creatorcontrib>Qiu, Chuan</creatorcontrib><creatorcontrib>Zhao, Lan-Juan</creatorcontrib><creatorcontrib>Luo, Zhe</creatorcontrib><creatorcontrib>Wu, Li</creatorcontrib><creatorcontrib>Tian, Qing</creatorcontrib><creatorcontrib>Deng, Hong-Wen</creatorcontrib><title>Metabolomic profiles associated with physical activity in White and African American adult men</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
This study is to assess the metabolic profiles associated with the frequency of PA in White and African American (AA) men.
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.
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.
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.</description><subject>Adenine</subject><subject>Adult</subject><subject>African American men</subject><subject>African Americans</subject><subject>Age</subject><subject>Behavior</subject><subject>Biology and Life Sciences</subject><subject>Black or African American</subject><subject>Cardiovascular disease</subject><subject>Chronic illnesses</subject><subject>Demographic aspects</subject><subject>Diabetes</subject><subject>Diet</subject><subject>Drinking behavior</subject><subject>Ethnicity</subject><subject>Exercise</subject><subject>Glucuronides</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Informatics</subject><subject>Lifestyles</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metabolites</subject><subject>Metabolome</subject><subject>Metabolomics</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Osteoporosis</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Physiological aspects</subject><subject>Population studies</subject><subject>Populations</subject><subject>Proteins</subject><subject>Pyrimidines</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Self report</subject><subject>Software</subject><subject>Spectrum analysis</subject><subject>Statistical analysis</subject><subject>Type 2 diabetes</subject><subject>Uracil</subject><subject>Variables</subject><subject>White</subject><subject>White men</subject><subject>Young 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profiles associated with physical activity in White and African American adult men</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c693t-e9a14698cafb9278dd8fd0294d939e1b5d5c978010e16c26c322809d9f67d6ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adenine</topic><topic>Adult</topic><topic>African American men</topic><topic>African Americans</topic><topic>Age</topic><topic>Behavior</topic><topic>Biology and Life Sciences</topic><topic>Black or African American</topic><topic>Cardiovascular disease</topic><topic>Chronic illnesses</topic><topic>Demographic aspects</topic><topic>Diabetes</topic><topic>Diet</topic><topic>Drinking 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Du, Yan</au><au>Li, Yuan-Yuan</au><au>Choi, Byeong Yeob</au><au>Fernadez, Roman</au><au>Su, Kuan-Jui</au><au>Sharma, Kumar</au><au>Qi, Lu</au><au>Yin, Zenong</au><au>Zhao, Qi</au><au>Shen, Hui</au><au>Qiu, Chuan</au><au>Zhao, Lan-Juan</au><au>Luo, Zhe</au><au>Wu, Li</au><au>Tian, Qing</au><au>Deng, Hong-Wen</au><au>Honda, Trenton</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolomic profiles associated with physical activity in White and African American adult men</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-11-09</date><risdate>2023</risdate><volume>18</volume><issue>11</issue><spage>e0289077</spage><pages>e0289077-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
This study is to assess the metabolic profiles associated with the frequency of PA in White and African American (AA) men.
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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37943870</pmid><doi>10.1371/journal.pone.0289077</doi><tpages>e0289077</tpages><orcidid>https://orcid.org/0000-0003-0683-3989</orcidid><orcidid>https://orcid.org/0000-0002-4205-1442</orcidid><orcidid>https://orcid.org/0000-0002-5163-9774</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2023-11, Vol.18 (11), p.e0289077 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_3069280859 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adenine Adult African American men African Americans Age Behavior Biology and Life Sciences Black or African American Cardiovascular disease Chronic illnesses Demographic aspects Diabetes Diet Drinking behavior Ethnicity Exercise Glucuronides Health aspects Humans Informatics Lifestyles Male Medicine and Health Sciences Metabolites Metabolome Metabolomics Methods Middle Aged Osteoporosis Physical activity Physical fitness Physiological aspects Population studies Populations Proteins Pyrimidines Regression analysis Regression models Self report Software Spectrum analysis Statistical analysis Type 2 diabetes Uracil Variables White White men Young Adult |
| title | Metabolomic profiles associated with physical activity in White and African American adult men |
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