Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study
Background Seborrheic dermatitis (SD) is a chronic inflammatory skin disease with a multifactorial aetiology. Malassezia yeasts have been associated with the disease but the role of bacterial composition in SD has not been thoroughly investigated. Objectives To profile the bacterial microbiome of SD...
Gespeichert in:
| Veröffentlicht in: | PloS one 2021-05, Vol.16 (5), p.e0251136-e0251136, Article 0251136 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0251136 |
|---|---|
| container_issue | 5 |
| container_start_page | e0251136 |
| container_title | PloS one |
| container_volume | 16 |
| creator | Sanders, Martijn G. H. Nijsten, Tamar Verlouw, Joost Kraaij, Robert Pardo, Luba M. |
| description | Background Seborrheic dermatitis (SD) is a chronic inflammatory skin disease with a multifactorial aetiology. Malassezia yeasts have been associated with the disease but the role of bacterial composition in SD has not been thoroughly investigated.
Objectives To profile the bacterial microbiome of SD patients and compare this with the microbiome of individuals with no inflammatory skin disease (controls).
Methods This was a cross sectional study embedded in a population-based study. Skin swabs were taken from naso-labial fold from patients with seborrheic dermatitis (lesional skin: n = 22; non-lesional skin SD: n = 75) and controls (n = 465). Sample collection began in 2016 at the research facility and is still ongoing. Shannon and Chao1 alpha- diversity metrics were calculated per group. Associations between the microbiome composition of cases and controls was calculated using multivariate statistics (permANOVA) and univariate statistics.
Results We found an increased alpha -diversity between SD lesional cases versus controls (Shannon diversity: Kruskal-Wallis rank sum: Chi-squared: 19.06; global p-value = 7.7x10(-5)). Multivariate statistical analysis showed significant associations in microbiome composition when comparing lesional SD skin to controls (p-value = 0.03;R-2 = 0.1%). Seven out of 13 amplicon sequence variants (ASVs) that were significantly different between controls and lesional cases were members of the genus Staphylococcus, most of which showed increased composition in lesional cases, and were closely related to S. capitis S. caprae and S. epidermidis.
Conclusion Microbiome composition differs in patients with seborrheic dermatitis and individuals without diseases. Differences were mainly found in the genus Staphylococcus. |
| doi_str_mv | 10.1371/journal.pone.0251136 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2531526224</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A662781717</galeid><doaj_id>oai_doaj_org_article_352a64e402194932b742be13afc84934</doaj_id><sourcerecordid>A662781717</sourcerecordid><originalsourceid>FETCH-LOGICAL-c669t-4a6d2d897e31d2f1462f4c706b695eb01376b20505331f370e722879c156a1fb3</originalsourceid><addsrcrecordid>eNqNk1uL1DAUx4so7rr6DQQLgigyY25NWx-EYfAysLDg7TWk6elMlraZTVJ1v72nM3XZyj4sfcilv_8_OSfnJMlzSpaU5_TdpRt8r9vl3vWwJCyjlMsHySktOVtIRvjDW_OT5EkIl4RkvJDycXLCBWElz8hpslu7bu-Cjdb1qWtSM0TdgxtCWmkTwVvdpp013lXWdZDaPg1QOe93YE1ag-90RG1I9zhCH8P7dJUiHcIigBlNUR_iUF8_TR41ug3wbBrPkh-fPn5ff1mcX3zerFfnCyNlGRdCy5rVRZkDpzVrqJCsESYnspJlBhXB0GXFSIahcNrwnEDOWJGXhmZS06biZ8mLo---dUFNSQqKZZxmTDImkNgcidrpS7X3ttP-Wjlt1WHD-a3SPlrTguIZ01IAZouWApNZ5YJVQLluTIHr0evDdNpQdVAbTIHX7cx0_qe3O7V1v1RBBeclR4PXk4F3VwOEqDobDLTt8RXGezN8W3G498v_0Lujm6itxgBs3zg814ymaiUlywua0xyp5R0UfjXga2NFNRb3Z4I3MwEyEf7ErR5CUJtvX-_PXvycs69usTvQbdwF1w5j6YQ5KI7gobo8NDdJpkSNDfEvG2psCDU1BMqKo-w3lm0TDBapgRspIURKITkrcEbE2kY9Hrx2Qx9R-vb-Uv4XvLobtA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2531526224</pqid></control><display><type>article</type><title>Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study</title><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Sanders, Martijn G. H. ; Nijsten, Tamar ; Verlouw, Joost ; Kraaij, Robert ; Pardo, Luba M.</creator><contributor>Dawson, Thomas L.</contributor><creatorcontrib>Sanders, Martijn G. H. ; Nijsten, Tamar ; Verlouw, Joost ; Kraaij, Robert ; Pardo, Luba M. ; Dawson, Thomas L.</creatorcontrib><description>Background Seborrheic dermatitis (SD) is a chronic inflammatory skin disease with a multifactorial aetiology. Malassezia yeasts have been associated with the disease but the role of bacterial composition in SD has not been thoroughly investigated.
Objectives To profile the bacterial microbiome of SD patients and compare this with the microbiome of individuals with no inflammatory skin disease (controls).
Methods This was a cross sectional study embedded in a population-based study. Skin swabs were taken from naso-labial fold from patients with seborrheic dermatitis (lesional skin: n = 22; non-lesional skin SD: n = 75) and controls (n = 465). Sample collection began in 2016 at the research facility and is still ongoing. Shannon and Chao1 alpha- diversity metrics were calculated per group. Associations between the microbiome composition of cases and controls was calculated using multivariate statistics (permANOVA) and univariate statistics.
Results We found an increased alpha -diversity between SD lesional cases versus controls (Shannon diversity: Kruskal-Wallis rank sum: Chi-squared: 19.06; global p-value = 7.7x10(-5)). Multivariate statistical analysis showed significant associations in microbiome composition when comparing lesional SD skin to controls (p-value = 0.03;R-2 = 0.1%). Seven out of 13 amplicon sequence variants (ASVs) that were significantly different between controls and lesional cases were members of the genus Staphylococcus, most of which showed increased composition in lesional cases, and were closely related to S. capitis S. caprae and S. epidermidis.
Conclusion Microbiome composition differs in patients with seborrheic dermatitis and individuals without diseases. Differences were mainly found in the genus Staphylococcus.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0251136</identifier><identifier>PMID: 34029350</identifier><language>eng</language><publisher>SAN FRANCISCO: Public Library Science</publisher><subject>Analysis ; Biology and Life Sciences ; Care and treatment ; Computer and Information Sciences ; Cotton ; Cross-sectional studies ; Data analysis ; Data collection ; Deoxyribonucleic acid ; Dermatitis ; Dermatology ; Diagnosis ; Disease ; DNA ; DNA sequencing ; Editing ; Epidemiology ; Erythema ; Health care facilities ; Internal medicine ; Medicine ; Medicine and Health Sciences ; Methodology ; Microbiomes ; Microbiota (Symbiotic organisms) ; Microorganisms ; Middle age ; Multidisciplinary Sciences ; Polymerase chain reaction ; Population ; Registration ; rRNA 16S ; Scalp ; Science & Technology ; Science & Technology - Other Topics ; Sebaceous gland ; Sebaceous glands ; Seborrhea ; Seborrheic dermatitis ; Skin ; Skin diseases ; Sodium chloride ; Taxonomy ; Winter climates ; Yeast</subject><ispartof>PloS one, 2021-05, Vol.16 (5), p.e0251136-e0251136, Article 0251136</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Sanders 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>2021 Sanders et al 2021 Sanders et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>8</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000664632800004</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c669t-4a6d2d897e31d2f1462f4c706b695eb01376b20505331f370e722879c156a1fb3</citedby><cites>FETCH-LOGICAL-c669t-4a6d2d897e31d2f1462f4c706b695eb01376b20505331f370e722879c156a1fb3</cites><orcidid>0000-0002-2361-7228</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/PMC8143393/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143393/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2115,2929,23871,27929,27930,39263,53796,53798</link.rule.ids></links><search><contributor>Dawson, Thomas L.</contributor><creatorcontrib>Sanders, Martijn G. H.</creatorcontrib><creatorcontrib>Nijsten, Tamar</creatorcontrib><creatorcontrib>Verlouw, Joost</creatorcontrib><creatorcontrib>Kraaij, Robert</creatorcontrib><creatorcontrib>Pardo, Luba M.</creatorcontrib><title>Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study</title><title>PloS one</title><addtitle>PLOS ONE</addtitle><description>Background Seborrheic dermatitis (SD) is a chronic inflammatory skin disease with a multifactorial aetiology. Malassezia yeasts have been associated with the disease but the role of bacterial composition in SD has not been thoroughly investigated.
Objectives To profile the bacterial microbiome of SD patients and compare this with the microbiome of individuals with no inflammatory skin disease (controls).
Methods This was a cross sectional study embedded in a population-based study. Skin swabs were taken from naso-labial fold from patients with seborrheic dermatitis (lesional skin: n = 22; non-lesional skin SD: n = 75) and controls (n = 465). Sample collection began in 2016 at the research facility and is still ongoing. Shannon and Chao1 alpha- diversity metrics were calculated per group. Associations between the microbiome composition of cases and controls was calculated using multivariate statistics (permANOVA) and univariate statistics.
Results We found an increased alpha -diversity between SD lesional cases versus controls (Shannon diversity: Kruskal-Wallis rank sum: Chi-squared: 19.06; global p-value = 7.7x10(-5)). Multivariate statistical analysis showed significant associations in microbiome composition when comparing lesional SD skin to controls (p-value = 0.03;R-2 = 0.1%). Seven out of 13 amplicon sequence variants (ASVs) that were significantly different between controls and lesional cases were members of the genus Staphylococcus, most of which showed increased composition in lesional cases, and were closely related to S. capitis S. caprae and S. epidermidis.
Conclusion Microbiome composition differs in patients with seborrheic dermatitis and individuals without diseases. Differences were mainly found in the genus Staphylococcus.</description><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>Computer and Information Sciences</subject><subject>Cotton</subject><subject>Cross-sectional studies</subject><subject>Data analysis</subject><subject>Data collection</subject><subject>Deoxyribonucleic acid</subject><subject>Dermatitis</subject><subject>Dermatology</subject><subject>Diagnosis</subject><subject>Disease</subject><subject>DNA</subject><subject>DNA sequencing</subject><subject>Editing</subject><subject>Epidemiology</subject><subject>Erythema</subject><subject>Health care facilities</subject><subject>Internal medicine</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methodology</subject><subject>Microbiomes</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Microorganisms</subject><subject>Middle age</subject><subject>Multidisciplinary Sciences</subject><subject>Polymerase chain reaction</subject><subject>Population</subject><subject>Registration</subject><subject>rRNA 16S</subject><subject>Scalp</subject><subject>Science & Technology</subject><subject>Science & Technology - Other Topics</subject><subject>Sebaceous gland</subject><subject>Sebaceous glands</subject><subject>Seborrhea</subject><subject>Seborrheic dermatitis</subject><subject>Skin</subject><subject>Skin diseases</subject><subject>Sodium chloride</subject><subject>Taxonomy</subject><subject>Winter climates</subject><subject>Yeast</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</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>eNqNk1uL1DAUx4so7rr6DQQLgigyY25NWx-EYfAysLDg7TWk6elMlraZTVJ1v72nM3XZyj4sfcilv_8_OSfnJMlzSpaU5_TdpRt8r9vl3vWwJCyjlMsHySktOVtIRvjDW_OT5EkIl4RkvJDycXLCBWElz8hpslu7bu-Cjdb1qWtSM0TdgxtCWmkTwVvdpp013lXWdZDaPg1QOe93YE1ag-90RG1I9zhCH8P7dJUiHcIigBlNUR_iUF8_TR41ug3wbBrPkh-fPn5ff1mcX3zerFfnCyNlGRdCy5rVRZkDpzVrqJCsESYnspJlBhXB0GXFSIahcNrwnEDOWJGXhmZS06biZ8mLo---dUFNSQqKZZxmTDImkNgcidrpS7X3ttP-Wjlt1WHD-a3SPlrTguIZ01IAZouWApNZ5YJVQLluTIHr0evDdNpQdVAbTIHX7cx0_qe3O7V1v1RBBeclR4PXk4F3VwOEqDobDLTt8RXGezN8W3G498v_0Lujm6itxgBs3zg814ymaiUlywua0xyp5R0UfjXga2NFNRb3Z4I3MwEyEf7ErR5CUJtvX-_PXvycs69usTvQbdwF1w5j6YQ5KI7gobo8NDdJpkSNDfEvG2psCDU1BMqKo-w3lm0TDBapgRspIURKITkrcEbE2kY9Hrx2Qx9R-vb-Uv4XvLobtA</recordid><startdate>20210524</startdate><enddate>20210524</enddate><creator>Sanders, Martijn G. H.</creator><creator>Nijsten, Tamar</creator><creator>Verlouw, Joost</creator><creator>Kraaij, Robert</creator><creator>Pardo, Luba M.</creator><general>Public Library Science</general><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</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>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/0000-0002-2361-7228</orcidid></search><sort><creationdate>20210524</creationdate><title>Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study</title><author>Sanders, Martijn G. H. ; Nijsten, Tamar ; Verlouw, Joost ; Kraaij, Robert ; Pardo, Luba M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-4a6d2d897e31d2f1462f4c706b695eb01376b20505331f370e722879c156a1fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Care and treatment</topic><topic>Computer and Information Sciences</topic><topic>Cotton</topic><topic>Cross-sectional studies</topic><topic>Data analysis</topic><topic>Data collection</topic><topic>Deoxyribonucleic acid</topic><topic>Dermatitis</topic><topic>Dermatology</topic><topic>Diagnosis</topic><topic>Disease</topic><topic>DNA</topic><topic>DNA sequencing</topic><topic>Editing</topic><topic>Epidemiology</topic><topic>Erythema</topic><topic>Health care facilities</topic><topic>Internal medicine</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methodology</topic><topic>Microbiomes</topic><topic>Microbiota (Symbiotic organisms)</topic><topic>Microorganisms</topic><topic>Middle age</topic><topic>Multidisciplinary Sciences</topic><topic>Polymerase chain reaction</topic><topic>Population</topic><topic>Registration</topic><topic>rRNA 16S</topic><topic>Scalp</topic><topic>Science & Technology</topic><topic>Science & Technology - Other Topics</topic><topic>Sebaceous gland</topic><topic>Sebaceous glands</topic><topic>Seborrhea</topic><topic>Seborrheic dermatitis</topic><topic>Skin</topic><topic>Skin diseases</topic><topic>Sodium chloride</topic><topic>Taxonomy</topic><topic>Winter climates</topic><topic>Yeast</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanders, Martijn G. H.</creatorcontrib><creatorcontrib>Nijsten, Tamar</creatorcontrib><creatorcontrib>Verlouw, Joost</creatorcontrib><creatorcontrib>Kraaij, Robert</creatorcontrib><creatorcontrib>Pardo, Luba M.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</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>Sanders, Martijn G. H.</au><au>Nijsten, Tamar</au><au>Verlouw, Joost</au><au>Kraaij, Robert</au><au>Pardo, Luba M.</au><au>Dawson, Thomas L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study</atitle><jtitle>PloS one</jtitle><stitle>PLOS ONE</stitle><date>2021-05-24</date><risdate>2021</risdate><volume>16</volume><issue>5</issue><spage>e0251136</spage><epage>e0251136</epage><pages>e0251136-e0251136</pages><artnum>0251136</artnum><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Background Seborrheic dermatitis (SD) is a chronic inflammatory skin disease with a multifactorial aetiology. Malassezia yeasts have been associated with the disease but the role of bacterial composition in SD has not been thoroughly investigated.
Objectives To profile the bacterial microbiome of SD patients and compare this with the microbiome of individuals with no inflammatory skin disease (controls).
Methods This was a cross sectional study embedded in a population-based study. Skin swabs were taken from naso-labial fold from patients with seborrheic dermatitis (lesional skin: n = 22; non-lesional skin SD: n = 75) and controls (n = 465). Sample collection began in 2016 at the research facility and is still ongoing. Shannon and Chao1 alpha- diversity metrics were calculated per group. Associations between the microbiome composition of cases and controls was calculated using multivariate statistics (permANOVA) and univariate statistics.
Results We found an increased alpha -diversity between SD lesional cases versus controls (Shannon diversity: Kruskal-Wallis rank sum: Chi-squared: 19.06; global p-value = 7.7x10(-5)). Multivariate statistical analysis showed significant associations in microbiome composition when comparing lesional SD skin to controls (p-value = 0.03;R-2 = 0.1%). Seven out of 13 amplicon sequence variants (ASVs) that were significantly different between controls and lesional cases were members of the genus Staphylococcus, most of which showed increased composition in lesional cases, and were closely related to S. capitis S. caprae and S. epidermidis.
Conclusion Microbiome composition differs in patients with seborrheic dermatitis and individuals without diseases. Differences were mainly found in the genus Staphylococcus.</abstract><cop>SAN FRANCISCO</cop><pub>Public Library Science</pub><pmid>34029350</pmid><doi>10.1371/journal.pone.0251136</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-2361-7228</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2021-05, Vol.16 (5), p.e0251136-e0251136, Article 0251136 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_proquest_journals_2531526224 |
| source | DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Analysis Biology and Life Sciences Care and treatment Computer and Information Sciences Cotton Cross-sectional studies Data analysis Data collection Deoxyribonucleic acid Dermatitis Dermatology Diagnosis Disease DNA DNA sequencing Editing Epidemiology Erythema Health care facilities Internal medicine Medicine Medicine and Health Sciences Methodology Microbiomes Microbiota (Symbiotic organisms) Microorganisms Middle age Multidisciplinary Sciences Polymerase chain reaction Population Registration rRNA 16S Scalp Science & Technology Science & Technology - Other Topics Sebaceous gland Sebaceous glands Seborrhea Seborrheic dermatitis Skin Skin diseases Sodium chloride Taxonomy Winter climates Yeast |
| title | Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T23%3A16%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Composition%20of%20cutaneous%20bacterial%20microbiome%20in%20seborrheic%20dermatitis%20patients:%20A%20cross-sectional%20study&rft.jtitle=PloS%20one&rft.au=Sanders,%20Martijn%20G.%20H.&rft.date=2021-05-24&rft.volume=16&rft.issue=5&rft.spage=e0251136&rft.epage=e0251136&rft.pages=e0251136-e0251136&rft.artnum=0251136&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0251136&rft_dat=%3Cgale_proqu%3EA662781717%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2531526224&rft_id=info:pmid/34029350&rft_galeid=A662781717&rft_doaj_id=oai_doaj_org_article_352a64e402194932b742be13afc84934&rfr_iscdi=true |