Characteristics of the gut microbiota in women with premenstrual symptoms: A cross-sectional study
Premenstrual symptoms can negatively impact the quality of life of women through a range of mood, behavioral, and physical symptoms. The association between the microbiota and brain function has been extensively studied. Here, we examined the characteristics of the microbiota in women with premenstr...
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| creator | Takeda, Takashi Yoshimi, Kana Kai, Sayaka Ozawa, Genki Yamada, Keiko Hiramatsu, Keizo |
| description | Premenstrual symptoms can negatively impact the quality of life of women through a range of mood, behavioral, and physical symptoms. The association between the microbiota and brain function has been extensively studied. Here, we examined the characteristics of the microbiota in women with premenstrual disorders (PMDs) and the association between premenstrual symptoms and the microbiota.
In this single center cross-sectional pilot study, we recruited 27 women reporting premenstrual symptoms and 29 women with no serious premenstrual symptoms. Among them, we further selected 21 women experiencing premenstrual symptoms resulting in interference to their social life (PMDs group) and 22 women with no serious premenstrual symptoms and thereby no interference to their social life (control group). The severity of symptoms was evaluated by a premenstrual symptoms questionnaire (PSQ). Inflammatory markers were analyzed in blood samples, including C reactive protein, soluble CD14, and lipopolysaccharide binding protein. Sequencing of 16S ribosomal ribonucleic acid genes was performed on stool samples.
Inflammatory markers in blood samples did not differ significantly between the PMDs and control groups. A difference in beta, but not alpha diversity, was detected for the gut microbiotas of the PMDs and control groups. The relative abundance of the Bacteroidetes phylum was lower in the PMDs group. At the genus level, the prevalence was decreased for Butyricicoccus, Extibacter, Megasphaera, and Parabacteroides and increased for Anaerotaenia in the PMDs group, but after false discovery rate correction, these differences were no longer significant. Linear discriminant effect size analysis revealed a decrease in Extibacter, Butyricicoccus, Megasphaera, and Parabacteroides and an increase in Anaerotaenia in the PMDs group. The PSQ total score correlated with Anaerotaenia, Extibacter, and Parabacteroides. Multiple regression analysis showed that Parabacteroides and Megasphaera negatively predicted the PSQ total score.
The properties of the gut microbiota are associated with premenstrual symptoms. |
| doi_str_mv | 10.1371/journal.pone.0268466 |
| format | Article |
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In this single center cross-sectional pilot study, we recruited 27 women reporting premenstrual symptoms and 29 women with no serious premenstrual symptoms. Among them, we further selected 21 women experiencing premenstrual symptoms resulting in interference to their social life (PMDs group) and 22 women with no serious premenstrual symptoms and thereby no interference to their social life (control group). The severity of symptoms was evaluated by a premenstrual symptoms questionnaire (PSQ). Inflammatory markers were analyzed in blood samples, including C reactive protein, soluble CD14, and lipopolysaccharide binding protein. Sequencing of 16S ribosomal ribonucleic acid genes was performed on stool samples.
Inflammatory markers in blood samples did not differ significantly between the PMDs and control groups. A difference in beta, but not alpha diversity, was detected for the gut microbiotas of the PMDs and control groups. The relative abundance of the Bacteroidetes phylum was lower in the PMDs group. At the genus level, the prevalence was decreased for Butyricicoccus, Extibacter, Megasphaera, and Parabacteroides and increased for Anaerotaenia in the PMDs group, but after false discovery rate correction, these differences were no longer significant. Linear discriminant effect size analysis revealed a decrease in Extibacter, Butyricicoccus, Megasphaera, and Parabacteroides and an increase in Anaerotaenia in the PMDs group. The PSQ total score correlated with Anaerotaenia, Extibacter, and Parabacteroides. Multiple regression analysis showed that Parabacteroides and Megasphaera negatively predicted the PSQ total score.
The properties of the gut microbiota are associated with premenstrual symptoms.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0268466</identifier><identifier>PMID: 35622782</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Blood ; Bowel disease ; C-reactive protein ; CD14 antigen ; Cross-sectional studies ; Diagnosis ; Ecology and Environmental Sciences ; Gynecology ; Health aspects ; Inflammation ; Interference ; Intestinal microflora ; Laboratories ; Lipopolysaccharides ; Markers ; Medicine and Health Sciences ; Menstrual cycle ; Menstruation ; Metabolism ; Microbiota ; Microbiota (Symbiotic organisms) ; Multiple regression analysis ; Obesity ; Obstetrics ; Pain ; Parabacteroides ; PMS ; Postal & delivery services ; Premenstrual syndrome ; Proteins ; Quality of life ; Questionnaires ; Regression analysis ; Relative abundance ; Ribonucleic acid ; RNA ; Signs and symptoms ; Womens health</subject><ispartof>PloS one, 2022-05, Vol.17 (5), p.e0268466-e0268466</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Takeda 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>2022 Takeda et al 2022 Takeda et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d8e375efa15fdbd007f777907813c323a24536d0ec64e49090d5601385e03b1a3</citedby><cites>FETCH-LOGICAL-c692t-d8e375efa15fdbd007f777907813c323a24536d0ec64e49090d5601385e03b1a3</cites><orcidid>0000-0002-4378-3290 ; 0000-0003-2428-1946</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/PMC9140228/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140228/$$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/35622782$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Jacobs, Jonathan</contributor><creatorcontrib>Takeda, Takashi</creatorcontrib><creatorcontrib>Yoshimi, Kana</creatorcontrib><creatorcontrib>Kai, Sayaka</creatorcontrib><creatorcontrib>Ozawa, Genki</creatorcontrib><creatorcontrib>Yamada, Keiko</creatorcontrib><creatorcontrib>Hiramatsu, Keizo</creatorcontrib><title>Characteristics of the gut microbiota in women with premenstrual symptoms: A cross-sectional study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Premenstrual symptoms can negatively impact the quality of life of women through a range of mood, behavioral, and physical symptoms. The association between the microbiota and brain function has been extensively studied. Here, we examined the characteristics of the microbiota in women with premenstrual disorders (PMDs) and the association between premenstrual symptoms and the microbiota.
In this single center cross-sectional pilot study, we recruited 27 women reporting premenstrual symptoms and 29 women with no serious premenstrual symptoms. Among them, we further selected 21 women experiencing premenstrual symptoms resulting in interference to their social life (PMDs group) and 22 women with no serious premenstrual symptoms and thereby no interference to their social life (control group). The severity of symptoms was evaluated by a premenstrual symptoms questionnaire (PSQ). Inflammatory markers were analyzed in blood samples, including C reactive protein, soluble CD14, and lipopolysaccharide binding protein. Sequencing of 16S ribosomal ribonucleic acid genes was performed on stool samples.
Inflammatory markers in blood samples did not differ significantly between the PMDs and control groups. A difference in beta, but not alpha diversity, was detected for the gut microbiotas of the PMDs and control groups. The relative abundance of the Bacteroidetes phylum was lower in the PMDs group. At the genus level, the prevalence was decreased for Butyricicoccus, Extibacter, Megasphaera, and Parabacteroides and increased for Anaerotaenia in the PMDs group, but after false discovery rate correction, these differences were no longer significant. Linear discriminant effect size analysis revealed a decrease in Extibacter, Butyricicoccus, Megasphaera, and Parabacteroides and an increase in Anaerotaenia in the PMDs group. The PSQ total score correlated with Anaerotaenia, Extibacter, and Parabacteroides. Multiple regression analysis showed that Parabacteroides and Megasphaera negatively predicted the PSQ total score.
The properties of the gut microbiota are associated with premenstrual symptoms.</description><subject>Biology and Life Sciences</subject><subject>Blood</subject><subject>Bowel disease</subject><subject>C-reactive protein</subject><subject>CD14 antigen</subject><subject>Cross-sectional studies</subject><subject>Diagnosis</subject><subject>Ecology and Environmental Sciences</subject><subject>Gynecology</subject><subject>Health aspects</subject><subject>Inflammation</subject><subject>Interference</subject><subject>Intestinal microflora</subject><subject>Laboratories</subject><subject>Lipopolysaccharides</subject><subject>Markers</subject><subject>Medicine and Health Sciences</subject><subject>Menstrual cycle</subject><subject>Menstruation</subject><subject>Metabolism</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Multiple regression analysis</subject><subject>Obesity</subject><subject>Obstetrics</subject><subject>Pain</subject><subject>Parabacteroides</subject><subject>PMS</subject><subject>Postal & delivery services</subject><subject>Premenstrual syndrome</subject><subject>Proteins</subject><subject>Quality of life</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Relative abundance</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Signs and symptoms</subject><subject>Womens 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one</jtitle><addtitle>PLoS One</addtitle><date>2022-05-27</date><risdate>2022</risdate><volume>17</volume><issue>5</issue><spage>e0268466</spage><epage>e0268466</epage><pages>e0268466-e0268466</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Premenstrual symptoms can negatively impact the quality of life of women through a range of mood, behavioral, and physical symptoms. The association between the microbiota and brain function has been extensively studied. Here, we examined the characteristics of the microbiota in women with premenstrual disorders (PMDs) and the association between premenstrual symptoms and the microbiota.
In this single center cross-sectional pilot study, we recruited 27 women reporting premenstrual symptoms and 29 women with no serious premenstrual symptoms. Among them, we further selected 21 women experiencing premenstrual symptoms resulting in interference to their social life (PMDs group) and 22 women with no serious premenstrual symptoms and thereby no interference to their social life (control group). The severity of symptoms was evaluated by a premenstrual symptoms questionnaire (PSQ). Inflammatory markers were analyzed in blood samples, including C reactive protein, soluble CD14, and lipopolysaccharide binding protein. Sequencing of 16S ribosomal ribonucleic acid genes was performed on stool samples.
Inflammatory markers in blood samples did not differ significantly between the PMDs and control groups. A difference in beta, but not alpha diversity, was detected for the gut microbiotas of the PMDs and control groups. The relative abundance of the Bacteroidetes phylum was lower in the PMDs group. At the genus level, the prevalence was decreased for Butyricicoccus, Extibacter, Megasphaera, and Parabacteroides and increased for Anaerotaenia in the PMDs group, but after false discovery rate correction, these differences were no longer significant. Linear discriminant effect size analysis revealed a decrease in Extibacter, Butyricicoccus, Megasphaera, and Parabacteroides and an increase in Anaerotaenia in the PMDs group. The PSQ total score correlated with Anaerotaenia, Extibacter, and Parabacteroides. Multiple regression analysis showed that Parabacteroides and Megasphaera negatively predicted the PSQ total score.
The properties of the gut microbiota are associated with premenstrual symptoms.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35622782</pmid><doi>10.1371/journal.pone.0268466</doi><tpages>e0268466</tpages><orcidid>https://orcid.org/0000-0002-4378-3290</orcidid><orcidid>https://orcid.org/0000-0003-2428-1946</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | PloS one, 2022-05, Vol.17 (5), p.e0268466-e0268466 |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Biology and Life Sciences Blood Bowel disease C-reactive protein CD14 antigen Cross-sectional studies Diagnosis Ecology and Environmental Sciences Gynecology Health aspects Inflammation Interference Intestinal microflora Laboratories Lipopolysaccharides Markers Medicine and Health Sciences Menstrual cycle Menstruation Metabolism Microbiota Microbiota (Symbiotic organisms) Multiple regression analysis Obesity Obstetrics Pain Parabacteroides PMS Postal & delivery services Premenstrual syndrome Proteins Quality of life Questionnaires Regression analysis Relative abundance Ribonucleic acid RNA Signs and symptoms Womens health |
| title | Characteristics of the gut microbiota in women with premenstrual symptoms: 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=2025-01-22T01%3A06%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characteristics%20of%20the%20gut%20microbiota%20in%20women%20with%20premenstrual%20symptoms:%20A%20cross-sectional%20study&rft.jtitle=PloS%20one&rft.au=Takeda,%20Takashi&rft.date=2022-05-27&rft.volume=17&rft.issue=5&rft.spage=e0268466&rft.epage=e0268466&rft.pages=e0268466-e0268466&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0268466&rft_dat=%3Cgale_plos_%3EA705118970%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2687677836&rft_id=info:pmid/35622782&rft_galeid=A705118970&rft_doaj_id=oai_doaj_org_article_844f8b73dbad4ab980ac716b204c2571&rfr_iscdi=true |