Metabolic recovery from heavy exertion following banana compared to sugar beverage or water only ingestion: A randomized, crossover trial
Using a randomized, crossover, counterbalanced approach, cyclists (N = 20, overnight fasted state) engaged in the four 75-km time trials (2-week washout) while ingesting two types of bananas with similar carbohydrate (CHO) but different phenolic content (Cavendish, CAV; mini-yellow, MIY, 63% higher...
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| creator | Nieman, David C Gillitt, Nicholas D Sha, Wei Esposito, Debora Ramamoorthy, Sivapriya |
| description | Using a randomized, crossover, counterbalanced approach, cyclists (N = 20, overnight fasted state) engaged in the four 75-km time trials (2-week washout) while ingesting two types of bananas with similar carbohydrate (CHO) but different phenolic content (Cavendish, CAV; mini-yellow, MIY, 63% higher polyphenols), a 6% sugar beverage (SUG), and water only (WAT). CHO intake was set at 0.2 g/kg every 15 minutes. Blood samples were collected pre-exercise and 0 h-, 0.75 h-,1.5 h-, 3 h-, 4.5 h-, 21 h-, 45 h-post-exercise.
Each of the CHO trials (CAV, MIY, SUG) compared to water was associated with higher post-exercise plasma glucose and fructose, and lower leukocyte counts, plasma 9+13 HODES, and IL-6, IL-10, and IL-1ra. OPLS-DA analysis showed that metabolic perturbation (N = 1,605 metabolites) for WAT (86.8±4.0 arbitrary units) was significantly greater and sustained than for CAV (70.4±3.9, P = 0.006), MIY (68.3±4.0, P = 0.002), and SUG (68.1±4.2, P = 0.002). VIP ranking ( |
| doi_str_mv | 10.1371/journal.pone.0194843 |
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Each of the CHO trials (CAV, MIY, SUG) compared to water was associated with higher post-exercise plasma glucose and fructose, and lower leukocyte counts, plasma 9+13 HODES, and IL-6, IL-10, and IL-1ra. OPLS-DA analysis showed that metabolic perturbation (N = 1,605 metabolites) for WAT (86.8±4.0 arbitrary units) was significantly greater and sustained than for CAV (70.4±3.9, P = 0.006), MIY (68.3±4.0, P = 0.002), and SUG (68.1±4.2, P = 0.002). VIP ranking (<3.0, N = 25 metabolites) showed that both CAV and MIY were associated with significant fold changes in metabolites including those from amino acid and xenobiotics pathways. OPLS-DA analysis of immediate post-exercise metabolite shifts showed a significant separation of CAV and MIY from both WAT and SUG (R2Y = 0.848, Q2Y = 0.409). COX-2 mRNA expression was lower in both CAV and MIY, but not SUG, versus WAT at 21-h post-exercise in THP-1 monocytes cultured in plasma samples. Analysis of immediate post-exercise samples showed a decrease in LPS-stimulated THP-1 monocyte extracellular acidification rate (ECAR) in CAV and MIY, but not SUG, compared to WAT.
CHO ingestion from bananas or a sugar beverage had a comparable influence in attenuating metabolic perturbation and inflammation following 75-km cycling. Ex-vivo analysis with THP-1 monocytes supported a decrease in COX-2 mRNA expression and reduced reliance on glycolysis for ATP production following ingestion of bananas but not sugar water when compared to water alone.
ClinicalTrials.gov, U.S. National Institutes of Health, identifier: NCT02994628.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0194843</identifier><identifier>PMID: 29566095</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acidification ; Adult ; Amino acids ; Bananas ; Beverages ; Bicycling ; Bicycling - physiology ; Bioenergetics ; Biology and Life Sciences ; Biomarkers ; Body composition ; Carbohydrates ; Cross-Over Studies ; Cycling ; Cyclooxygenase-2 ; Cytokines ; Dietary Carbohydrates - administration & dosage ; Dopamine ; Drinking Behavior - physiology ; Eating - physiology ; Exercise - physiology ; Female ; Flavonoids ; Fructose ; Fruits ; Gene expression ; Glycolysis ; Human performance ; Humans ; Inflammation ; Ingestion ; Interleukin 1 receptor antagonist ; Interleukin 1 receptors ; Interleukin 10 ; Interleukin 6 ; Laboratories ; Leukocytes ; Lipopolysaccharides ; Male ; Medicine and Health Sciences ; Metabolism ; Metabolites ; Metabolomics ; Methods ; Middle Aged ; Monocytes ; Musa ; Musculoskeletal system ; Nonsteroidal anti-inflammatory drugs ; Nutrition research ; Nutritional aspects ; Oxidative stress ; Perturbation methods ; Phenolic compounds ; Phenols ; Physical Exertion - drug effects ; Physical Exertion - physiology ; Physical Sciences ; Physiological aspects ; Physiological research ; Plasma ; Polyphenols ; Randomization ; Recovery (Medical) ; Recovery of Function - drug effects ; Sports nutrition ; Sugar ; Variance analysis ; Vasoactive intestinal peptide ; Water - administration & dosage ; Xenobiotics ; Young Adult</subject><ispartof>PloS one, 2018-03, Vol.13 (3), p.e0194843-e0194843</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Nieman 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>2018 Nieman et al 2018 Nieman et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-98c0261041bb4dd44824de4ce413697f124ee93d0698c3258791e78d868d4e613</citedby><cites>FETCH-LOGICAL-c692t-98c0261041bb4dd44824de4ce413697f124ee93d0698c3258791e78d868d4e613</cites><orcidid>0000-0002-8305-1860</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/PMC5864065/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864065/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29566095$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nieman, David C</creatorcontrib><creatorcontrib>Gillitt, Nicholas D</creatorcontrib><creatorcontrib>Sha, Wei</creatorcontrib><creatorcontrib>Esposito, Debora</creatorcontrib><creatorcontrib>Ramamoorthy, Sivapriya</creatorcontrib><title>Metabolic recovery from heavy exertion following banana compared to sugar beverage or water only ingestion: A randomized, crossover trial</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Using a randomized, crossover, counterbalanced approach, cyclists (N = 20, overnight fasted state) engaged in the four 75-km time trials (2-week washout) while ingesting two types of bananas with similar carbohydrate (CHO) but different phenolic content (Cavendish, CAV; mini-yellow, MIY, 63% higher polyphenols), a 6% sugar beverage (SUG), and water only (WAT). CHO intake was set at 0.2 g/kg every 15 minutes. Blood samples were collected pre-exercise and 0 h-, 0.75 h-,1.5 h-, 3 h-, 4.5 h-, 21 h-, 45 h-post-exercise.
Each of the CHO trials (CAV, MIY, SUG) compared to water was associated with higher post-exercise plasma glucose and fructose, and lower leukocyte counts, plasma 9+13 HODES, and IL-6, IL-10, and IL-1ra. OPLS-DA analysis showed that metabolic perturbation (N = 1,605 metabolites) for WAT (86.8±4.0 arbitrary units) was significantly greater and sustained than for CAV (70.4±3.9, P = 0.006), MIY (68.3±4.0, P = 0.002), and SUG (68.1±4.2, P = 0.002). VIP ranking (<3.0, N = 25 metabolites) showed that both CAV and MIY were associated with significant fold changes in metabolites including those from amino acid and xenobiotics pathways. OPLS-DA analysis of immediate post-exercise metabolite shifts showed a significant separation of CAV and MIY from both WAT and SUG (R2Y = 0.848, Q2Y = 0.409). COX-2 mRNA expression was lower in both CAV and MIY, but not SUG, versus WAT at 21-h post-exercise in THP-1 monocytes cultured in plasma samples. Analysis of immediate post-exercise samples showed a decrease in LPS-stimulated THP-1 monocyte extracellular acidification rate (ECAR) in CAV and MIY, but not SUG, compared to WAT.
CHO ingestion from bananas or a sugar beverage had a comparable influence in attenuating metabolic perturbation and inflammation following 75-km cycling. Ex-vivo analysis with THP-1 monocytes supported a decrease in COX-2 mRNA expression and reduced reliance on glycolysis for ATP production following ingestion of bananas but not sugar water when compared to water alone.
ClinicalTrials.gov, U.S. National Institutes of Health, identifier: NCT02994628.</description><subject>Acidification</subject><subject>Adult</subject><subject>Amino acids</subject><subject>Bananas</subject><subject>Beverages</subject><subject>Bicycling</subject><subject>Bicycling - physiology</subject><subject>Bioenergetics</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Body composition</subject><subject>Carbohydrates</subject><subject>Cross-Over Studies</subject><subject>Cycling</subject><subject>Cyclooxygenase-2</subject><subject>Cytokines</subject><subject>Dietary Carbohydrates - administration & dosage</subject><subject>Dopamine</subject><subject>Drinking Behavior - physiology</subject><subject>Eating - physiology</subject><subject>Exercise - physiology</subject><subject>Female</subject><subject>Flavonoids</subject><subject>Fructose</subject><subject>Fruits</subject><subject>Gene expression</subject><subject>Glycolysis</subject><subject>Human performance</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Ingestion</subject><subject>Interleukin 1 receptor antagonist</subject><subject>Interleukin 1 receptors</subject><subject>Interleukin 10</subject><subject>Interleukin 6</subject><subject>Laboratories</subject><subject>Leukocytes</subject><subject>Lipopolysaccharides</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Monocytes</subject><subject>Musa</subject><subject>Musculoskeletal system</subject><subject>Nonsteroidal anti-inflammatory drugs</subject><subject>Nutrition research</subject><subject>Nutritional aspects</subject><subject>Oxidative stress</subject><subject>Perturbation methods</subject><subject>Phenolic compounds</subject><subject>Phenols</subject><subject>Physical Exertion - drug effects</subject><subject>Physical Exertion - physiology</subject><subject>Physical Sciences</subject><subject>Physiological aspects</subject><subject>Physiological research</subject><subject>Plasma</subject><subject>Polyphenols</subject><subject>Randomization</subject><subject>Recovery (Medical)</subject><subject>Recovery of Function - drug effects</subject><subject>Sports nutrition</subject><subject>Sugar</subject><subject>Variance analysis</subject><subject>Vasoactive intestinal peptide</subject><subject>Water - administration & dosage</subject><subject>Xenobiotics</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QDgig4Y9KkaeqFMCx-DKws-HUb0uS00yFtxqSd3fEf-K_NzHSXGdkLyUVC8rzvSU7OSZKnBE8JzcnbpRt8p-x05TqYYlIwwei95JQUNJ3wFNP7B-uT5FEIS4wzKjh_mJykRcY5LrLT5M8X6FXpbKORB-3W4Deo8q5FC1DrDYJr8H3jOlQ5a91V09WoVF0cSLt2pTwY1DsUhlp5VEJUqxqQ8-hK9eCR6-wGRQ2Ercc7NENedca1zW8wb5D2LoRtRNT7RtnHyYNK2QBPxvks-fHxw_fzz5OLy0_z89nFRPMi7SeF0DjlBDNSlswYxkTKDDANjFBe5BVJGUBBDeaRpGkm8oJALozgwjDghJ4lz_e-K-uCHLMYZIpJjjPGWRqJ-Z4wTi3lyjet8hvpVCN3G87XUsWsaAsyLUqWc5zTnJO4MEILwivQZUYYNVkVvd6P0YayBaOh672yR6bHJ12zkLVby0xwhnkWDV6NBt79GmImZdsEDdaqDtywu7eIV88wjuiLf9C7XzdStYoPaLrKxbh6aypnGY0lgwshIjW9g4rDQNvoWHJVE_ePBK-PBJHp4bqv1RCCnH_7-v_s5c9j9uUBG6vS9ovg7LCtqHAMsj24qysP1W2SCZbbjrnJhtx2jBw7JsqeHX7QreimRehfBbkRdw</recordid><startdate>20180322</startdate><enddate>20180322</enddate><creator>Nieman, David C</creator><creator>Gillitt, Nicholas D</creator><creator>Sha, Wei</creator><creator>Esposito, Debora</creator><creator>Ramamoorthy, Sivapriya</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8305-1860</orcidid></search><sort><creationdate>20180322</creationdate><title>Metabolic recovery from heavy exertion following banana compared to sugar beverage or water only ingestion: A randomized, crossover trial</title><author>Nieman, David C ; Gillitt, Nicholas D ; Sha, Wei ; Esposito, Debora ; Ramamoorthy, Sivapriya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-98c0261041bb4dd44824de4ce413697f124ee93d0698c3258791e78d868d4e613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acidification</topic><topic>Adult</topic><topic>Amino acids</topic><topic>Bananas</topic><topic>Beverages</topic><topic>Bicycling</topic><topic>Bicycling - 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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>Nieman, David C</au><au>Gillitt, Nicholas D</au><au>Sha, Wei</au><au>Esposito, Debora</au><au>Ramamoorthy, Sivapriya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolic recovery from heavy exertion following banana compared to sugar beverage or water only ingestion: A randomized, crossover trial</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-03-22</date><risdate>2018</risdate><volume>13</volume><issue>3</issue><spage>e0194843</spage><epage>e0194843</epage><pages>e0194843-e0194843</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Using a randomized, crossover, counterbalanced approach, cyclists (N = 20, overnight fasted state) engaged in the four 75-km time trials (2-week washout) while ingesting two types of bananas with similar carbohydrate (CHO) but different phenolic content (Cavendish, CAV; mini-yellow, MIY, 63% higher polyphenols), a 6% sugar beverage (SUG), and water only (WAT). CHO intake was set at 0.2 g/kg every 15 minutes. Blood samples were collected pre-exercise and 0 h-, 0.75 h-,1.5 h-, 3 h-, 4.5 h-, 21 h-, 45 h-post-exercise.
Each of the CHO trials (CAV, MIY, SUG) compared to water was associated with higher post-exercise plasma glucose and fructose, and lower leukocyte counts, plasma 9+13 HODES, and IL-6, IL-10, and IL-1ra. OPLS-DA analysis showed that metabolic perturbation (N = 1,605 metabolites) for WAT (86.8±4.0 arbitrary units) was significantly greater and sustained than for CAV (70.4±3.9, P = 0.006), MIY (68.3±4.0, P = 0.002), and SUG (68.1±4.2, P = 0.002). VIP ranking (<3.0, N = 25 metabolites) showed that both CAV and MIY were associated with significant fold changes in metabolites including those from amino acid and xenobiotics pathways. OPLS-DA analysis of immediate post-exercise metabolite shifts showed a significant separation of CAV and MIY from both WAT and SUG (R2Y = 0.848, Q2Y = 0.409). COX-2 mRNA expression was lower in both CAV and MIY, but not SUG, versus WAT at 21-h post-exercise in THP-1 monocytes cultured in plasma samples. Analysis of immediate post-exercise samples showed a decrease in LPS-stimulated THP-1 monocyte extracellular acidification rate (ECAR) in CAV and MIY, but not SUG, compared to WAT.
CHO ingestion from bananas or a sugar beverage had a comparable influence in attenuating metabolic perturbation and inflammation following 75-km cycling. Ex-vivo analysis with THP-1 monocytes supported a decrease in COX-2 mRNA expression and reduced reliance on glycolysis for ATP production following ingestion of bananas but not sugar water when compared to water alone.
ClinicalTrials.gov, U.S. National Institutes of Health, identifier: NCT02994628.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29566095</pmid><doi>10.1371/journal.pone.0194843</doi><tpages>e0194843</tpages><orcidid>https://orcid.org/0000-0002-8305-1860</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2018-03, Vol.13 (3), p.e0194843-e0194843 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2017054642 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Acidification Adult Amino acids Bananas Beverages Bicycling Bicycling - physiology Bioenergetics Biology and Life Sciences Biomarkers Body composition Carbohydrates Cross-Over Studies Cycling Cyclooxygenase-2 Cytokines Dietary Carbohydrates - administration & dosage Dopamine Drinking Behavior - physiology Eating - physiology Exercise - physiology Female Flavonoids Fructose Fruits Gene expression Glycolysis Human performance Humans Inflammation Ingestion Interleukin 1 receptor antagonist Interleukin 1 receptors Interleukin 10 Interleukin 6 Laboratories Leukocytes Lipopolysaccharides Male Medicine and Health Sciences Metabolism Metabolites Metabolomics Methods Middle Aged Monocytes Musa Musculoskeletal system Nonsteroidal anti-inflammatory drugs Nutrition research Nutritional aspects Oxidative stress Perturbation methods Phenolic compounds Phenols Physical Exertion - drug effects Physical Exertion - physiology Physical Sciences Physiological aspects Physiological research Plasma Polyphenols Randomization Recovery (Medical) Recovery of Function - drug effects Sports nutrition Sugar Variance analysis Vasoactive intestinal peptide Water - administration & dosage Xenobiotics Young Adult |
| title | Metabolic recovery from heavy exertion following banana compared to sugar beverage or water only ingestion: A randomized, crossover trial |
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