Gut Microbiota as a Potential Predictive Biomarker in Relapsing-Remitting Multiple Sclerosis
The influence of the microbiome on neurological diseases has been studied for years. Recent findings have shown a different composition of gut microbiota detected in patients with multiple sclerosis (MS). The role of this dysbiosis is still unknown. We analyzed the gut microbiota of 15 patients with...
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| Veröffentlicht in: | Genes 2022-05, Vol.13 (5), p.930 |
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| creator | Navarro-López, Vicente Méndez-Miralles, María Ángeles Vela-Yebra, Rosa Fríes-Ramos, Ana Sánchez-Pellicer, Pedro Ruzafa-Costas, Beatriz Núñez-Delegido, Eva Gómez-Gómez, Humberto Chumillas-Lidón, Sara Picó-Monllor, Jose A Navarro-Moratalla, Laura |
| description | The influence of the microbiome on neurological diseases has been studied for years. Recent findings have shown a different composition of gut microbiota detected in patients with multiple sclerosis (MS). The role of this dysbiosis is still unknown.
We analyzed the gut microbiota of 15 patients with active relapsing-remitting multiple sclerosis (RRMS), comparing with diet-matched healthy controls.
To determine the composition of the gut microbiota, we performed high-throughput sequencing of the 16S ribosomal RNA gene. The specific amplified sequences were in the V3 and V4 regions of the 16S ribosomal RNA gene.
The gut microbiota of RRMS patients differed from healthy controls in the levels of the
,
,
,
,
,
,
,
, and
genera. All these genera were included in a logistic regression analysis to determine the sensitivity and the specificity of the test. Finally, the ROC (receiver operating characteristic) and AUC with a 95% CI were calculated and best-matched for
(AUC of 75.0 and CI from 60.6 to 89.4) and
(AUC of 70.2 and CI from 50.1 to 90.4).
There is a dysbiosis in the gut microbiota of RRMS patients. An analysis of the components of the microbiota suggests the role of some genera as a predictive factor of RRMS prognosis and diagnosis. |
| doi_str_mv | 10.3390/genes13050930 |
| format | Article |
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We analyzed the gut microbiota of 15 patients with active relapsing-remitting multiple sclerosis (RRMS), comparing with diet-matched healthy controls.
To determine the composition of the gut microbiota, we performed high-throughput sequencing of the 16S ribosomal RNA gene. The specific amplified sequences were in the V3 and V4 regions of the 16S ribosomal RNA gene.
The gut microbiota of RRMS patients differed from healthy controls in the levels of the
,
,
,
,
,
,
,
, and
genera. All these genera were included in a logistic regression analysis to determine the sensitivity and the specificity of the test. Finally, the ROC (receiver operating characteristic) and AUC with a 95% CI were calculated and best-matched for
(AUC of 75.0 and CI from 60.6 to 89.4) and
(AUC of 70.2 and CI from 50.1 to 90.4).
There is a dysbiosis in the gut microbiota of RRMS patients. An analysis of the components of the microbiota suggests the role of some genera as a predictive factor of RRMS prognosis and diagnosis.</description><identifier>ISSN: 2073-4425</identifier><identifier>EISSN: 2073-4425</identifier><identifier>DOI: 10.3390/genes13050930</identifier><identifier>PMID: 35627315</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Analysis ; Antibiotics ; Antigens ; Biological markers ; Biomarkers ; Bowel disease ; Brain damage ; Care and treatment ; Composition ; Diagnosis ; Dysbacteriosis ; Fecal incontinence ; Immune system ; Intestinal microflora ; Lymphocytes ; Magnetic resonance imaging ; Microbiomes ; Microbiota ; Microbiota (Symbiotic organisms) ; Microorganisms ; Multiple sclerosis ; Neurological diseases ; Next-generation sequencing ; Patients ; Permeability ; Ribosomal RNA ; rRNA 16S ; Vitamin D ; Vitamin deficiency</subject><ispartof>Genes, 2022-05, Vol.13 (5), p.930</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-80d24816fcd3c1925597baca16fb0d825939d069c9b218e7bcd557075cf39c823</citedby><cites>FETCH-LOGICAL-c412t-80d24816fcd3c1925597baca16fb0d825939d069c9b218e7bcd557075cf39c823</cites><orcidid>0000-0003-4953-679X ; 0000-0001-9785-523X ; 0000-0001-9909-5094 ; 0000-0003-3731-9827 ; 0000-0002-0241-6232</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/PMC9140870/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140870/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35627315$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Navarro-López, Vicente</creatorcontrib><creatorcontrib>Méndez-Miralles, María Ángeles</creatorcontrib><creatorcontrib>Vela-Yebra, Rosa</creatorcontrib><creatorcontrib>Fríes-Ramos, Ana</creatorcontrib><creatorcontrib>Sánchez-Pellicer, Pedro</creatorcontrib><creatorcontrib>Ruzafa-Costas, Beatriz</creatorcontrib><creatorcontrib>Núñez-Delegido, Eva</creatorcontrib><creatorcontrib>Gómez-Gómez, Humberto</creatorcontrib><creatorcontrib>Chumillas-Lidón, Sara</creatorcontrib><creatorcontrib>Picó-Monllor, Jose A</creatorcontrib><creatorcontrib>Navarro-Moratalla, Laura</creatorcontrib><title>Gut Microbiota as a Potential Predictive Biomarker in Relapsing-Remitting Multiple Sclerosis</title><title>Genes</title><addtitle>Genes (Basel)</addtitle><description>The influence of the microbiome on neurological diseases has been studied for years. Recent findings have shown a different composition of gut microbiota detected in patients with multiple sclerosis (MS). The role of this dysbiosis is still unknown.
We analyzed the gut microbiota of 15 patients with active relapsing-remitting multiple sclerosis (RRMS), comparing with diet-matched healthy controls.
To determine the composition of the gut microbiota, we performed high-throughput sequencing of the 16S ribosomal RNA gene. The specific amplified sequences were in the V3 and V4 regions of the 16S ribosomal RNA gene.
The gut microbiota of RRMS patients differed from healthy controls in the levels of the
,
,
,
,
,
,
,
, and
genera. All these genera were included in a logistic regression analysis to determine the sensitivity and the specificity of the test. Finally, the ROC (receiver operating characteristic) and AUC with a 95% CI were calculated and best-matched for
(AUC of 75.0 and CI from 60.6 to 89.4) and
(AUC of 70.2 and CI from 50.1 to 90.4).
There is a dysbiosis in the gut microbiota of RRMS patients. An analysis of the components of the microbiota suggests the role of some genera as a predictive factor of RRMS prognosis and diagnosis.</description><subject>Analysis</subject><subject>Antibiotics</subject><subject>Antigens</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Bowel disease</subject><subject>Brain damage</subject><subject>Care and treatment</subject><subject>Composition</subject><subject>Diagnosis</subject><subject>Dysbacteriosis</subject><subject>Fecal incontinence</subject><subject>Immune system</subject><subject>Intestinal microflora</subject><subject>Lymphocytes</subject><subject>Magnetic resonance imaging</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Microorganisms</subject><subject>Multiple sclerosis</subject><subject>Neurological diseases</subject><subject>Next-generation sequencing</subject><subject>Patients</subject><subject>Permeability</subject><subject>Ribosomal RNA</subject><subject>rRNA 16S</subject><subject>Vitamin D</subject><subject>Vitamin deficiency</subject><issn>2073-4425</issn><issn>2073-4425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptks1vFSEQwDdGY5vao1dD4sXL1gGWZbmY1EZbkzY2VW8mhGVnn1QePIFt4n9fXlprn5E5MBl-M8xX07ykcMS5grcrDJgpBwGKw5Nmn4Hkbdcx8fSRvtcc5nwN9XTAAMTzZo-LnklOxX7z_XQp5MLZFEcXiyEmE0MuY8FQnPHkMuHkbHE3SN67uDbpJybiArlCbzbZhVV7hWtXStXIxeKL23gkX6zHFLPLL5pns_EZD-_vg-bbxw9fT87a88-nn06Oz1vbUVbaASbWDbSf7cQtVUwIJUdjTbWMMA1MKK4m6JVVI6MDytFOQkiQws5c2YHxg-bdXdzNMq5xsjX5ZLzeJFcz_q2jcXr3JbgfehVvtKIdDBJqgDf3AVL8tWAueu2yRe9NwLhkzXpJmeyrVPT1P-h1XFKo5W0poD3jXfeXWhmP2oU51n_tNqg-loyBqjUNlTr6D1Vlqk21MeDsqn3Hob1zqPPKOeH8UCMFvd0IvbMRlX_1uDEP9J_581sB9LCx</recordid><startdate>20220523</startdate><enddate>20220523</enddate><creator>Navarro-López, Vicente</creator><creator>Méndez-Miralles, María Ángeles</creator><creator>Vela-Yebra, Rosa</creator><creator>Fríes-Ramos, Ana</creator><creator>Sánchez-Pellicer, Pedro</creator><creator>Ruzafa-Costas, Beatriz</creator><creator>Núñez-Delegido, Eva</creator><creator>Gómez-Gómez, Humberto</creator><creator>Chumillas-Lidón, Sara</creator><creator>Picó-Monllor, Jose A</creator><creator>Navarro-Moratalla, Laura</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4953-679X</orcidid><orcidid>https://orcid.org/0000-0001-9785-523X</orcidid><orcidid>https://orcid.org/0000-0001-9909-5094</orcidid><orcidid>https://orcid.org/0000-0003-3731-9827</orcidid><orcidid>https://orcid.org/0000-0002-0241-6232</orcidid></search><sort><creationdate>20220523</creationdate><title>Gut Microbiota as a Potential Predictive Biomarker in Relapsing-Remitting Multiple Sclerosis</title><author>Navarro-López, Vicente ; Méndez-Miralles, María Ángeles ; Vela-Yebra, Rosa ; Fríes-Ramos, Ana ; Sánchez-Pellicer, Pedro ; Ruzafa-Costas, Beatriz ; Núñez-Delegido, Eva ; Gómez-Gómez, Humberto ; Chumillas-Lidón, Sara ; Picó-Monllor, Jose A ; Navarro-Moratalla, Laura</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-80d24816fcd3c1925597baca16fb0d825939d069c9b218e7bcd557075cf39c823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Antibiotics</topic><topic>Antigens</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Bowel disease</topic><topic>Brain damage</topic><topic>Care and treatment</topic><topic>Composition</topic><topic>Diagnosis</topic><topic>Dysbacteriosis</topic><topic>Fecal incontinence</topic><topic>Immune system</topic><topic>Intestinal microflora</topic><topic>Lymphocytes</topic><topic>Magnetic resonance imaging</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Microbiota (Symbiotic organisms)</topic><topic>Microorganisms</topic><topic>Multiple sclerosis</topic><topic>Neurological diseases</topic><topic>Next-generation sequencing</topic><topic>Patients</topic><topic>Permeability</topic><topic>Ribosomal RNA</topic><topic>rRNA 16S</topic><topic>Vitamin D</topic><topic>Vitamin deficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Navarro-López, Vicente</creatorcontrib><creatorcontrib>Méndez-Miralles, María Ángeles</creatorcontrib><creatorcontrib>Vela-Yebra, Rosa</creatorcontrib><creatorcontrib>Fríes-Ramos, Ana</creatorcontrib><creatorcontrib>Sánchez-Pellicer, Pedro</creatorcontrib><creatorcontrib>Ruzafa-Costas, Beatriz</creatorcontrib><creatorcontrib>Núñez-Delegido, Eva</creatorcontrib><creatorcontrib>Gómez-Gómez, Humberto</creatorcontrib><creatorcontrib>Chumillas-Lidón, Sara</creatorcontrib><creatorcontrib>Picó-Monllor, Jose A</creatorcontrib><creatorcontrib>Navarro-Moratalla, Laura</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Navarro-López, Vicente</au><au>Méndez-Miralles, María Ángeles</au><au>Vela-Yebra, Rosa</au><au>Fríes-Ramos, Ana</au><au>Sánchez-Pellicer, Pedro</au><au>Ruzafa-Costas, Beatriz</au><au>Núñez-Delegido, Eva</au><au>Gómez-Gómez, Humberto</au><au>Chumillas-Lidón, Sara</au><au>Picó-Monllor, Jose A</au><au>Navarro-Moratalla, Laura</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gut Microbiota as a Potential Predictive Biomarker in Relapsing-Remitting Multiple Sclerosis</atitle><jtitle>Genes</jtitle><addtitle>Genes (Basel)</addtitle><date>2022-05-23</date><risdate>2022</risdate><volume>13</volume><issue>5</issue><spage>930</spage><pages>930-</pages><issn>2073-4425</issn><eissn>2073-4425</eissn><abstract>The influence of the microbiome on neurological diseases has been studied for years. Recent findings have shown a different composition of gut microbiota detected in patients with multiple sclerosis (MS). The role of this dysbiosis is still unknown.
We analyzed the gut microbiota of 15 patients with active relapsing-remitting multiple sclerosis (RRMS), comparing with diet-matched healthy controls.
To determine the composition of the gut microbiota, we performed high-throughput sequencing of the 16S ribosomal RNA gene. The specific amplified sequences were in the V3 and V4 regions of the 16S ribosomal RNA gene.
The gut microbiota of RRMS patients differed from healthy controls in the levels of the
,
,
,
,
,
,
,
, and
genera. All these genera were included in a logistic regression analysis to determine the sensitivity and the specificity of the test. Finally, the ROC (receiver operating characteristic) and AUC with a 95% CI were calculated and best-matched for
(AUC of 75.0 and CI from 60.6 to 89.4) and
(AUC of 70.2 and CI from 50.1 to 90.4).
There is a dysbiosis in the gut microbiota of RRMS patients. An analysis of the components of the microbiota suggests the role of some genera as a predictive factor of RRMS prognosis and diagnosis.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35627315</pmid><doi>10.3390/genes13050930</doi><orcidid>https://orcid.org/0000-0003-4953-679X</orcidid><orcidid>https://orcid.org/0000-0001-9785-523X</orcidid><orcidid>https://orcid.org/0000-0001-9909-5094</orcidid><orcidid>https://orcid.org/0000-0003-3731-9827</orcidid><orcidid>https://orcid.org/0000-0002-0241-6232</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Genes, 2022-05, Vol.13 (5), p.930 |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; PubMed Central Open Access |
| subjects | Analysis Antibiotics Antigens Biological markers Biomarkers Bowel disease Brain damage Care and treatment Composition Diagnosis Dysbacteriosis Fecal incontinence Immune system Intestinal microflora Lymphocytes Magnetic resonance imaging Microbiomes Microbiota Microbiota (Symbiotic organisms) Microorganisms Multiple sclerosis Neurological diseases Next-generation sequencing Patients Permeability Ribosomal RNA rRNA 16S Vitamin D Vitamin deficiency |
| title | Gut Microbiota as a Potential Predictive Biomarker in Relapsing-Remitting Multiple Sclerosis |
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