The human microbiota is associated with cardiometabolic risk across the epidemiologic transition
Oral and fecal microbial biomarkers have previously been associated with cardiometabolic (CM) risk, however, no comprehensive attempt has been made to explore this association in minority populations or across different geographic regions. We characterized gut- and oral-associated microbiota and CM...
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Veröffentlicht in: | PloS one 2019-07, Vol.14 (7), p.e0215262 |
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creator | Fei, Na Bernabé, Beatriz Peñalver Lie, Louise Baghdan, Danny Bedu-Addo, Kweku Plange-Rhule, Jacob Forrester, Terrence E Lambert, Estelle V Bovet, Pascal Gottel, Neil Riesen, Walter Korte, Wolfgang Luke, Amy Kliethermes, Stephanie A Layden, Brian T Gilbert, Jack A Dugas, Lara R |
description | Oral and fecal microbial biomarkers have previously been associated with cardiometabolic (CM) risk, however, no comprehensive attempt has been made to explore this association in minority populations or across different geographic regions. We characterized gut- and oral-associated microbiota and CM risk in 655 participants of African-origin, aged 25-45, from Ghana, South Africa, Jamaica, and the United States (US). CM risk was classified using the CM risk cut-points for elevated waist circumference, elevated blood pressure and elevated fasted blood glucose, low high-density lipoprotein (HDL), and elevated triglycerides. Gut-associated bacterial alpha diversity negatively correlated with elevated blood pressure and elevated fasted blood glucose. Similarly, gut bacterial beta diversity was also significantly differentiated by waist circumference, blood pressure, triglyceridemia and HDL-cholesterolemia. Notably, differences in inter- and intra-personal gut microbial diversity were geographic-region specific. Participants meeting the cut-points for 3 out of the 5 CM risk factors were significantly more enriched with Lachnospiraceae, and were significantly depleted of Clostridiaceae, Peptostreptococcaceae, and Prevotella. The predicted relative proportions of the genes involved in the pathways for lipopolysaccharides (LPS) and butyrate synthesis were also significantly differentiated by the CM risk phenotype, whereby genes involved in the butyrate synthesis via lysine, glutarate and 4-aminobutyrate/succinate pathways and LPS synthesis pathway were enriched in participants with greater CM risk. Furthermore, inter-individual oral microbiota diversity was also significantly associated with the CM risk factors, and oral-associated Streptococcus, Prevotella, and Veillonella were enriched in participants with 3 out of the 5 CM risk factors. We demonstrate that in a diverse cohort of African-origin adults, CM risk is significantly associated with reduced microbial diversity, and the enrichment of specific bacterial taxa and predicted functional traits in both gut and oral environments. As well as providing new insights into the associations between the gut and oral microbiota and CM risk, this study also highlights the potential for novel therapeutic discoveries which target the oral and gut microbiota in CM risk. |
doi_str_mv | 10.1371/journal.pone.0215262 |
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We characterized gut- and oral-associated microbiota and CM risk in 655 participants of African-origin, aged 25-45, from Ghana, South Africa, Jamaica, and the United States (US). CM risk was classified using the CM risk cut-points for elevated waist circumference, elevated blood pressure and elevated fasted blood glucose, low high-density lipoprotein (HDL), and elevated triglycerides. Gut-associated bacterial alpha diversity negatively correlated with elevated blood pressure and elevated fasted blood glucose. Similarly, gut bacterial beta diversity was also significantly differentiated by waist circumference, blood pressure, triglyceridemia and HDL-cholesterolemia. Notably, differences in inter- and intra-personal gut microbial diversity were geographic-region specific. Participants meeting the cut-points for 3 out of the 5 CM risk factors were significantly more enriched with Lachnospiraceae, and were significantly depleted of Clostridiaceae, Peptostreptococcaceae, and Prevotella. The predicted relative proportions of the genes involved in the pathways for lipopolysaccharides (LPS) and butyrate synthesis were also significantly differentiated by the CM risk phenotype, whereby genes involved in the butyrate synthesis via lysine, glutarate and 4-aminobutyrate/succinate pathways and LPS synthesis pathway were enriched in participants with greater CM risk. Furthermore, inter-individual oral microbiota diversity was also significantly associated with the CM risk factors, and oral-associated Streptococcus, Prevotella, and Veillonella were enriched in participants with 3 out of the 5 CM risk factors. We demonstrate that in a diverse cohort of African-origin adults, CM risk is significantly associated with reduced microbial diversity, and the enrichment of specific bacterial taxa and predicted functional traits in both gut and oral environments. As well as providing new insights into the associations between the gut and oral microbiota and CM risk, this study also highlights the potential for novel therapeutic discoveries which target the oral and gut microbiota in CM risk.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0215262</identifier><identifier>PMID: 31339887</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Analysis ; Bacteria ; Biodiversity ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Blood glucose ; Blood pressure ; Cardiovascular diseases ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - microbiology ; Diabetes ; Disease ; Enrichment ; Epidemiology ; Esters ; Fecal microflora ; Female ; Gastrointestinal Microbiome ; Gastrointestinal surgery ; Genes ; Ghana - epidemiology ; Glucose ; Health care ; Health risks ; Health sciences ; High density lipoprotein ; Hospitals ; Humans ; Hypertension ; Inflammation ; Intestinal microflora ; Jamaica - epidemiology ; Laboratories ; Lipopolysaccharides ; Lysine ; Male ; Medicine and Health Sciences ; Metabolic Diseases - epidemiology ; Metabolic Diseases - microbiology ; Metabolism ; Microbiota ; Microbiota (Symbiotic organisms) ; Microorganisms ; Middle Aged ; Mouth - microbiology ; Novels ; Obesity ; People and Places ; Phenotypes ; Physiology ; Prevalence studies (Epidemiology) ; Preventive medicine ; Public health ; Risk analysis ; Risk assessment ; Risk Factors ; South Africa - epidemiology ; Streptococcus infections ; Synthesis ; Triglycerides ; Type 2 diabetes ; United States - epidemiology ; Waist Circumference</subject><ispartof>PloS one, 2019-07, Vol.14 (7), p.e0215262</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Fei 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>2019 Fei et al 2019 Fei et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-a5358e04a5cac1ac5fd30f02ab6adc46e84c473326a30162125e4e7637b312483</citedby><cites>FETCH-LOGICAL-c692t-a5358e04a5cac1ac5fd30f02ab6adc46e84c473326a30162125e4e7637b312483</cites><orcidid>0000-0002-0692-8585</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/PMC6656343/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656343/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31339887$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Loor, Juan J.</contributor><creatorcontrib>Fei, Na</creatorcontrib><creatorcontrib>Bernabé, Beatriz Peñalver</creatorcontrib><creatorcontrib>Lie, Louise</creatorcontrib><creatorcontrib>Baghdan, Danny</creatorcontrib><creatorcontrib>Bedu-Addo, Kweku</creatorcontrib><creatorcontrib>Plange-Rhule, Jacob</creatorcontrib><creatorcontrib>Forrester, Terrence E</creatorcontrib><creatorcontrib>Lambert, Estelle V</creatorcontrib><creatorcontrib>Bovet, Pascal</creatorcontrib><creatorcontrib>Gottel, Neil</creatorcontrib><creatorcontrib>Riesen, Walter</creatorcontrib><creatorcontrib>Korte, Wolfgang</creatorcontrib><creatorcontrib>Luke, Amy</creatorcontrib><creatorcontrib>Kliethermes, Stephanie A</creatorcontrib><creatorcontrib>Layden, Brian T</creatorcontrib><creatorcontrib>Gilbert, Jack A</creatorcontrib><creatorcontrib>Dugas, Lara R</creatorcontrib><title>The human microbiota is associated with cardiometabolic risk across the epidemiologic transition</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Oral and fecal microbial biomarkers have previously been associated with cardiometabolic (CM) risk, however, no comprehensive attempt has been made to explore this association in minority populations or across different geographic regions. We characterized gut- and oral-associated microbiota and CM risk in 655 participants of African-origin, aged 25-45, from Ghana, South Africa, Jamaica, and the United States (US). CM risk was classified using the CM risk cut-points for elevated waist circumference, elevated blood pressure and elevated fasted blood glucose, low high-density lipoprotein (HDL), and elevated triglycerides. Gut-associated bacterial alpha diversity negatively correlated with elevated blood pressure and elevated fasted blood glucose. Similarly, gut bacterial beta diversity was also significantly differentiated by waist circumference, blood pressure, triglyceridemia and HDL-cholesterolemia. Notably, differences in inter- and intra-personal gut microbial diversity were geographic-region specific. Participants meeting the cut-points for 3 out of the 5 CM risk factors were significantly more enriched with Lachnospiraceae, and were significantly depleted of Clostridiaceae, Peptostreptococcaceae, and Prevotella. The predicted relative proportions of the genes involved in the pathways for lipopolysaccharides (LPS) and butyrate synthesis were also significantly differentiated by the CM risk phenotype, whereby genes involved in the butyrate synthesis via lysine, glutarate and 4-aminobutyrate/succinate pathways and LPS synthesis pathway were enriched in participants with greater CM risk. Furthermore, inter-individual oral microbiota diversity was also significantly associated with the CM risk factors, and oral-associated Streptococcus, Prevotella, and Veillonella were enriched in participants with 3 out of the 5 CM risk factors. We demonstrate that in a diverse cohort of African-origin adults, CM risk is significantly associated with reduced microbial diversity, and the enrichment of specific bacterial taxa and predicted functional traits in both gut and oral environments. As well as providing new insights into the associations between the gut and oral microbiota and CM risk, this study also highlights the potential for novel therapeutic discoveries which target the oral and gut microbiota in CM risk.</description><subject>Adult</subject><subject>Analysis</subject><subject>Bacteria</subject><subject>Biodiversity</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Blood glucose</subject><subject>Blood pressure</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cardiovascular Diseases - microbiology</subject><subject>Diabetes</subject><subject>Disease</subject><subject>Enrichment</subject><subject>Epidemiology</subject><subject>Esters</subject><subject>Fecal microflora</subject><subject>Female</subject><subject>Gastrointestinal Microbiome</subject><subject>Gastrointestinal surgery</subject><subject>Genes</subject><subject>Ghana - epidemiology</subject><subject>Glucose</subject><subject>Health care</subject><subject>Health risks</subject><subject>Health sciences</subject><subject>High density lipoprotein</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Inflammation</subject><subject>Intestinal microflora</subject><subject>Jamaica - epidemiology</subject><subject>Laboratories</subject><subject>Lipopolysaccharides</subject><subject>Lysine</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic Diseases - epidemiology</subject><subject>Metabolic Diseases - microbiology</subject><subject>Metabolism</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Microorganisms</subject><subject>Middle Aged</subject><subject>Mouth - microbiology</subject><subject>Novels</subject><subject>Obesity</subject><subject>People and Places</subject><subject>Phenotypes</subject><subject>Physiology</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Preventive medicine</subject><subject>Public health</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk Factors</subject><subject>South Africa - epidemiology</subject><subject>Streptococcus infections</subject><subject>Synthesis</subject><subject>Triglycerides</subject><subject>Type 2 diabetes</subject><subject>United States - epidemiology</subject><subject>Waist Circumference</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1uL1DAUx4so7jr6DUQLgujDjLlP-yIsi5eBhQVdfY2naTrNmjZjknr59qYz3WUq-yB9SEl-53_uWfYUoxWma_zm2g2-B7vauV6vEMGcCHIvO8UlJUtBEL1_9H-SPQrhGiFOCyEeZicUU1oWxfo0-3bV6rwdOujzzijvKuMi5CbkEIJTBqKu818mtrkCXxvX6QiVs0bl3oTvOSSLEPKYNPTO1Lozzrpteo0e-mCicf3j7EEDNugn07nIvrx_d3X-cXlx-WFzfnaxVKIkcQmc8kIjBlyBwqB4U1PUIAKVgFoxoQum2JpSIoAiLAgmXDO9FnRdUUxYQRfZ84Puzrogp-IESYigAgvKaCI2B6J2cC133nTg_0gHRu4vnN9K8NEoqyWrClyLShSEcSaUhoII3CitEEsx1jxpvZ28DVWna6X7lLGdic5fetPKrfspheBTMK8mAe9-DDpE2ZmgtLXQazfs42aEcFGOvl78g96d3URtISVg-sYlv2oUlWe8ZLTkLHV9ka3uoNI39k6lSWpMup8ZvJ4ZJCbq33ELQwhy8_nT_7OXX-fsyyO21WBjG5wdxpEJc5AdwP2oed3cFhkjOS7CTTXkuAhyWoRk9uy4QbdGN5NP_wI9kgNd</recordid><startdate>20190724</startdate><enddate>20190724</enddate><creator>Fei, Na</creator><creator>Bernabé, Beatriz Peñalver</creator><creator>Lie, Louise</creator><creator>Baghdan, Danny</creator><creator>Bedu-Addo, Kweku</creator><creator>Plange-Rhule, Jacob</creator><creator>Forrester, Terrence E</creator><creator>Lambert, Estelle V</creator><creator>Bovet, Pascal</creator><creator>Gottel, Neil</creator><creator>Riesen, Walter</creator><creator>Korte, Wolfgang</creator><creator>Luke, Amy</creator><creator>Kliethermes, Stephanie A</creator><creator>Layden, Brian T</creator><creator>Gilbert, Jack A</creator><creator>Dugas, Lara R</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>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0692-8585</orcidid></search><sort><creationdate>20190724</creationdate><title>The human microbiota is associated with cardiometabolic risk across the epidemiologic transition</title><author>Fei, Na ; Bernabé, Beatriz Peñalver ; Lie, Louise ; Baghdan, Danny ; Bedu-Addo, Kweku ; Plange-Rhule, Jacob ; Forrester, Terrence E ; Lambert, Estelle V ; Bovet, Pascal ; Gottel, Neil ; Riesen, Walter ; Korte, Wolfgang ; Luke, Amy ; Kliethermes, Stephanie A ; Layden, Brian T ; Gilbert, Jack A ; Dugas, Lara R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-a5358e04a5cac1ac5fd30f02ab6adc46e84c473326a30162125e4e7637b312483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Analysis</topic><topic>Bacteria</topic><topic>Biodiversity</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Blood glucose</topic><topic>Blood pressure</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fei, Na</au><au>Bernabé, Beatriz Peñalver</au><au>Lie, Louise</au><au>Baghdan, Danny</au><au>Bedu-Addo, Kweku</au><au>Plange-Rhule, Jacob</au><au>Forrester, Terrence E</au><au>Lambert, Estelle V</au><au>Bovet, Pascal</au><au>Gottel, Neil</au><au>Riesen, Walter</au><au>Korte, Wolfgang</au><au>Luke, Amy</au><au>Kliethermes, Stephanie A</au><au>Layden, Brian T</au><au>Gilbert, Jack A</au><au>Dugas, Lara R</au><au>Loor, Juan J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The human microbiota is associated with cardiometabolic risk across the epidemiologic transition</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-07-24</date><risdate>2019</risdate><volume>14</volume><issue>7</issue><spage>e0215262</spage><pages>e0215262-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Oral and fecal microbial biomarkers have previously been associated with cardiometabolic (CM) risk, however, no comprehensive attempt has been made to explore this association in minority populations or across different geographic regions. We characterized gut- and oral-associated microbiota and CM risk in 655 participants of African-origin, aged 25-45, from Ghana, South Africa, Jamaica, and the United States (US). CM risk was classified using the CM risk cut-points for elevated waist circumference, elevated blood pressure and elevated fasted blood glucose, low high-density lipoprotein (HDL), and elevated triglycerides. Gut-associated bacterial alpha diversity negatively correlated with elevated blood pressure and elevated fasted blood glucose. Similarly, gut bacterial beta diversity was also significantly differentiated by waist circumference, blood pressure, triglyceridemia and HDL-cholesterolemia. Notably, differences in inter- and intra-personal gut microbial diversity were geographic-region specific. Participants meeting the cut-points for 3 out of the 5 CM risk factors were significantly more enriched with Lachnospiraceae, and were significantly depleted of Clostridiaceae, Peptostreptococcaceae, and Prevotella. The predicted relative proportions of the genes involved in the pathways for lipopolysaccharides (LPS) and butyrate synthesis were also significantly differentiated by the CM risk phenotype, whereby genes involved in the butyrate synthesis via lysine, glutarate and 4-aminobutyrate/succinate pathways and LPS synthesis pathway were enriched in participants with greater CM risk. Furthermore, inter-individual oral microbiota diversity was also significantly associated with the CM risk factors, and oral-associated Streptococcus, Prevotella, and Veillonella were enriched in participants with 3 out of the 5 CM risk factors. We demonstrate that in a diverse cohort of African-origin adults, CM risk is significantly associated with reduced microbial diversity, and the enrichment of specific bacterial taxa and predicted functional traits in both gut and oral environments. As well as providing new insights into the associations between the gut and oral microbiota and CM risk, this study also highlights the potential for novel therapeutic discoveries which target the oral and gut microbiota in CM risk.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31339887</pmid><doi>10.1371/journal.pone.0215262</doi><tpages>e0215262</tpages><orcidid>https://orcid.org/0000-0002-0692-8585</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2019-07, Vol.14 (7), p.e0215262 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; PubMed Central(OpenAccess); Directory of Open Access Journals; Public Library of Science (PLoS); Free Full-Text Journals in Chemistry; EZB Electronic Journals Library |
subjects | Adult Analysis Bacteria Biodiversity Biological markers Biology and Life Sciences Biomarkers Blood glucose Blood pressure Cardiovascular diseases Cardiovascular Diseases - epidemiology Cardiovascular Diseases - microbiology Diabetes Disease Enrichment Epidemiology Esters Fecal microflora Female Gastrointestinal Microbiome Gastrointestinal surgery Genes Ghana - epidemiology Glucose Health care Health risks Health sciences High density lipoprotein Hospitals Humans Hypertension Inflammation Intestinal microflora Jamaica - epidemiology Laboratories Lipopolysaccharides Lysine Male Medicine and Health Sciences Metabolic Diseases - epidemiology Metabolic Diseases - microbiology Metabolism Microbiota Microbiota (Symbiotic organisms) Microorganisms Middle Aged Mouth - microbiology Novels Obesity People and Places Phenotypes Physiology Prevalence studies (Epidemiology) Preventive medicine Public health Risk analysis Risk assessment Risk Factors South Africa - epidemiology Streptococcus infections Synthesis Triglycerides Type 2 diabetes United States - epidemiology Waist Circumference |
title | The human microbiota is associated with cardiometabolic risk across the epidemiologic transition |
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