Loading…

Plasma metabolic disturbances during pregnancy and postpartum in women with depression

Examining plasma metabolic profiling during pregnancy and postpartum could help clinicians understand the risk factors for postpartum depression (PPD) development. This analysis targeted paired plasma metabolites in mid-late gestational and 1 month postpartum periods in women with (n = 209) or witho...

Full description

Saved in:
Bibliographic Details
Published in:iScience 2022-12, Vol.25 (12), p.105666-105666, Article 105666
Main Authors: Yu, Zhiqian, Matsukawa, Naomi, Saigusa, Daisuke, Motoike, Ikuko N., Ono, Chiaki, Okamura, Yasunobu, Onuma, Tomomi, Takahashi, Yuta, Sakai, Mai, Kudo, Hisaaki, Obara, Taku, Murakami, Keiko, Shirota, Matusyuki, Kikuchi, Saya, Kobayashi, Natsuko, Kikuchi, Yoshie, Sugawara, Junichi, Minegishi, Naoko, Ogishima, Soichi, Kinoshita, Kengo, Yamamoto, Masayuki, Yaegashi, Nobuo, Kuriyama, Shinichi, Koshiba, Seizo, Tomita, Hiroaki
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c455t-fd4d2a646ceac486c99e06d8bfd94c7fa053802b84365015b4f4a5ef84ae3d983
cites cdi_FETCH-LOGICAL-c455t-fd4d2a646ceac486c99e06d8bfd94c7fa053802b84365015b4f4a5ef84ae3d983
container_end_page 105666
container_issue 12
container_start_page 105666
container_title iScience
container_volume 25
creator Yu, Zhiqian
Matsukawa, Naomi
Saigusa, Daisuke
Motoike, Ikuko N.
Ono, Chiaki
Okamura, Yasunobu
Onuma, Tomomi
Takahashi, Yuta
Sakai, Mai
Kudo, Hisaaki
Obara, Taku
Murakami, Keiko
Shirota, Matusyuki
Kikuchi, Saya
Kobayashi, Natsuko
Kikuchi, Yoshie
Sugawara, Junichi
Minegishi, Naoko
Ogishima, Soichi
Kinoshita, Kengo
Yamamoto, Masayuki
Yaegashi, Nobuo
Kuriyama, Shinichi
Koshiba, Seizo
Tomita, Hiroaki
description Examining plasma metabolic profiling during pregnancy and postpartum could help clinicians understand the risk factors for postpartum depression (PPD) development. This analysis targeted paired plasma metabolites in mid-late gestational and 1 month postpartum periods in women with (n = 209) or without (n = 222) PPD. Gas chromatogram-mass spectrometry was used to analyze plasma metabolites at these two time points. Among the 170 objected plasma metabolites, principal component analysis distinguished pregnancy and postpartum metabolites but failed to discriminate women with and without PPD. Compared to women without PPD, those with PPD exhibited 37 metabolites with disparate changes during pregnancy and the 1-month postpartum period and an enriched citrate cycle. Machine learning and multivariate statistical analysis identified two or three compounds that could be potential biomarkers for PPD prediction during pregnancy. Our findings suggest metabolic disturbances in women with depression and may help to elucidate metabolic processes associated with PPD development. [Display omitted] •Maternal plasma metabolite level changes from pregnancy to postpartum•PPD is related to metabolic disturbances during pregnancy•Disturbance metabolites enrich the citrate cycle•Gestational metabolites can predict PPD during pregnancy Biological sciences; Physiology; Metabolomics
doi_str_mv 10.1016/j.isci.2022.105666
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9732390</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2589004222019381</els_id><sourcerecordid>2753664946</sourcerecordid><originalsourceid>FETCH-LOGICAL-c455t-fd4d2a646ceac486c99e06d8bfd94c7fa053802b84365015b4f4a5ef84ae3d983</originalsourceid><addsrcrecordid>eNp9kV9LLSEUxSWKiuoL9BA-3pdzchz1jBDBJW5_IKiH6lUc3XPyMKOTOl369nk4FfUSiMr2t5ebtRA6rsi8IpU4Xc1dMm5OCaWlwIUQW2if8kbOCGF0-9t9Dx2ltCKE0LKYFLtorxaccEmrffR03-s0aDxA1m3oncHWpTzFVnsDCdspOr_EY4SlL5U3rL3FY0h51DFPA3Ye_w8DlN3lZ2yhgCm54A_RTqf7BEcf5wF6vPz3cHE9u727urn4ezszjPM86yyzVAsmDGjDGmGkBCJs03ZWMrPoNOF1Q2jbsPXEFW9ZxzSHrmEaaiub-gCdb3THqR3AGvA56l6N0Q06vqmgnfr54t2zWoZXJRc1rSUpAn8-BGJ4mSBlNRRfoe-1hzAlRRe8FoJJJgpKN6iJIaUI3dc3FVHrTNRKrTNR60zUJpPSdPJ9wK-WzwQKcLYBoNj06iCqIgHFfOsimKxscL_pvwPu56AC</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2753664946</pqid></control><display><type>article</type><title>Plasma metabolic disturbances during pregnancy and postpartum in women with depression</title><source>ScienceDirect</source><source>PubMed</source><creator>Yu, Zhiqian ; Matsukawa, Naomi ; Saigusa, Daisuke ; Motoike, Ikuko N. ; Ono, Chiaki ; Okamura, Yasunobu ; Onuma, Tomomi ; Takahashi, Yuta ; Sakai, Mai ; Kudo, Hisaaki ; Obara, Taku ; Murakami, Keiko ; Shirota, Matusyuki ; Kikuchi, Saya ; Kobayashi, Natsuko ; Kikuchi, Yoshie ; Sugawara, Junichi ; Minegishi, Naoko ; Ogishima, Soichi ; Kinoshita, Kengo ; Yamamoto, Masayuki ; Yaegashi, Nobuo ; Kuriyama, Shinichi ; Koshiba, Seizo ; Tomita, Hiroaki</creator><creatorcontrib>Yu, Zhiqian ; Matsukawa, Naomi ; Saigusa, Daisuke ; Motoike, Ikuko N. ; Ono, Chiaki ; Okamura, Yasunobu ; Onuma, Tomomi ; Takahashi, Yuta ; Sakai, Mai ; Kudo, Hisaaki ; Obara, Taku ; Murakami, Keiko ; Shirota, Matusyuki ; Kikuchi, Saya ; Kobayashi, Natsuko ; Kikuchi, Yoshie ; Sugawara, Junichi ; Minegishi, Naoko ; Ogishima, Soichi ; Kinoshita, Kengo ; Yamamoto, Masayuki ; Yaegashi, Nobuo ; Kuriyama, Shinichi ; Koshiba, Seizo ; Tomita, Hiroaki</creatorcontrib><description>Examining plasma metabolic profiling during pregnancy and postpartum could help clinicians understand the risk factors for postpartum depression (PPD) development. This analysis targeted paired plasma metabolites in mid-late gestational and 1 month postpartum periods in women with (n = 209) or without (n = 222) PPD. Gas chromatogram-mass spectrometry was used to analyze plasma metabolites at these two time points. Among the 170 objected plasma metabolites, principal component analysis distinguished pregnancy and postpartum metabolites but failed to discriminate women with and without PPD. Compared to women without PPD, those with PPD exhibited 37 metabolites with disparate changes during pregnancy and the 1-month postpartum period and an enriched citrate cycle. Machine learning and multivariate statistical analysis identified two or three compounds that could be potential biomarkers for PPD prediction during pregnancy. Our findings suggest metabolic disturbances in women with depression and may help to elucidate metabolic processes associated with PPD development. [Display omitted] •Maternal plasma metabolite level changes from pregnancy to postpartum•PPD is related to metabolic disturbances during pregnancy•Disturbance metabolites enrich the citrate cycle•Gestational metabolites can predict PPD during pregnancy Biological sciences; Physiology; Metabolomics</description><identifier>ISSN: 2589-0042</identifier><identifier>EISSN: 2589-0042</identifier><identifier>DOI: 10.1016/j.isci.2022.105666</identifier><identifier>PMID: 36505921</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Biological sciences ; Metabolomics ; Physiology</subject><ispartof>iScience, 2022-12, Vol.25 (12), p.105666-105666, Article 105666</ispartof><rights>2022 The Author(s)</rights><rights>2022 The Author(s).</rights><rights>2022 The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-fd4d2a646ceac486c99e06d8bfd94c7fa053802b84365015b4f4a5ef84ae3d983</citedby><cites>FETCH-LOGICAL-c455t-fd4d2a646ceac486c99e06d8bfd94c7fa053802b84365015b4f4a5ef84ae3d983</cites><orcidid>0000-0002-4827-5922</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/PMC9732390/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2589004222019381$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,3536,27901,27902,45756,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36505921$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yu, Zhiqian</creatorcontrib><creatorcontrib>Matsukawa, Naomi</creatorcontrib><creatorcontrib>Saigusa, Daisuke</creatorcontrib><creatorcontrib>Motoike, Ikuko N.</creatorcontrib><creatorcontrib>Ono, Chiaki</creatorcontrib><creatorcontrib>Okamura, Yasunobu</creatorcontrib><creatorcontrib>Onuma, Tomomi</creatorcontrib><creatorcontrib>Takahashi, Yuta</creatorcontrib><creatorcontrib>Sakai, Mai</creatorcontrib><creatorcontrib>Kudo, Hisaaki</creatorcontrib><creatorcontrib>Obara, Taku</creatorcontrib><creatorcontrib>Murakami, Keiko</creatorcontrib><creatorcontrib>Shirota, Matusyuki</creatorcontrib><creatorcontrib>Kikuchi, Saya</creatorcontrib><creatorcontrib>Kobayashi, Natsuko</creatorcontrib><creatorcontrib>Kikuchi, Yoshie</creatorcontrib><creatorcontrib>Sugawara, Junichi</creatorcontrib><creatorcontrib>Minegishi, Naoko</creatorcontrib><creatorcontrib>Ogishima, Soichi</creatorcontrib><creatorcontrib>Kinoshita, Kengo</creatorcontrib><creatorcontrib>Yamamoto, Masayuki</creatorcontrib><creatorcontrib>Yaegashi, Nobuo</creatorcontrib><creatorcontrib>Kuriyama, Shinichi</creatorcontrib><creatorcontrib>Koshiba, Seizo</creatorcontrib><creatorcontrib>Tomita, Hiroaki</creatorcontrib><title>Plasma metabolic disturbances during pregnancy and postpartum in women with depression</title><title>iScience</title><addtitle>iScience</addtitle><description>Examining plasma metabolic profiling during pregnancy and postpartum could help clinicians understand the risk factors for postpartum depression (PPD) development. This analysis targeted paired plasma metabolites in mid-late gestational and 1 month postpartum periods in women with (n = 209) or without (n = 222) PPD. Gas chromatogram-mass spectrometry was used to analyze plasma metabolites at these two time points. Among the 170 objected plasma metabolites, principal component analysis distinguished pregnancy and postpartum metabolites but failed to discriminate women with and without PPD. Compared to women without PPD, those with PPD exhibited 37 metabolites with disparate changes during pregnancy and the 1-month postpartum period and an enriched citrate cycle. Machine learning and multivariate statistical analysis identified two or three compounds that could be potential biomarkers for PPD prediction during pregnancy. Our findings suggest metabolic disturbances in women with depression and may help to elucidate metabolic processes associated with PPD development. [Display omitted] •Maternal plasma metabolite level changes from pregnancy to postpartum•PPD is related to metabolic disturbances during pregnancy•Disturbance metabolites enrich the citrate cycle•Gestational metabolites can predict PPD during pregnancy Biological sciences; Physiology; Metabolomics</description><subject>Biological sciences</subject><subject>Metabolomics</subject><subject>Physiology</subject><issn>2589-0042</issn><issn>2589-0042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kV9LLSEUxSWKiuoL9BA-3pdzchz1jBDBJW5_IKiH6lUc3XPyMKOTOl369nk4FfUSiMr2t5ebtRA6rsi8IpU4Xc1dMm5OCaWlwIUQW2if8kbOCGF0-9t9Dx2ltCKE0LKYFLtorxaccEmrffR03-s0aDxA1m3oncHWpTzFVnsDCdspOr_EY4SlL5U3rL3FY0h51DFPA3Ye_w8DlN3lZ2yhgCm54A_RTqf7BEcf5wF6vPz3cHE9u727urn4ezszjPM86yyzVAsmDGjDGmGkBCJs03ZWMrPoNOF1Q2jbsPXEFW9ZxzSHrmEaaiub-gCdb3THqR3AGvA56l6N0Q06vqmgnfr54t2zWoZXJRc1rSUpAn8-BGJ4mSBlNRRfoe-1hzAlRRe8FoJJJgpKN6iJIaUI3dc3FVHrTNRKrTNR60zUJpPSdPJ9wK-WzwQKcLYBoNj06iCqIgHFfOsimKxscL_pvwPu56AC</recordid><startdate>20221222</startdate><enddate>20221222</enddate><creator>Yu, Zhiqian</creator><creator>Matsukawa, Naomi</creator><creator>Saigusa, Daisuke</creator><creator>Motoike, Ikuko N.</creator><creator>Ono, Chiaki</creator><creator>Okamura, Yasunobu</creator><creator>Onuma, Tomomi</creator><creator>Takahashi, Yuta</creator><creator>Sakai, Mai</creator><creator>Kudo, Hisaaki</creator><creator>Obara, Taku</creator><creator>Murakami, Keiko</creator><creator>Shirota, Matusyuki</creator><creator>Kikuchi, Saya</creator><creator>Kobayashi, Natsuko</creator><creator>Kikuchi, Yoshie</creator><creator>Sugawara, Junichi</creator><creator>Minegishi, Naoko</creator><creator>Ogishima, Soichi</creator><creator>Kinoshita, Kengo</creator><creator>Yamamoto, Masayuki</creator><creator>Yaegashi, Nobuo</creator><creator>Kuriyama, Shinichi</creator><creator>Koshiba, Seizo</creator><creator>Tomita, Hiroaki</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4827-5922</orcidid></search><sort><creationdate>20221222</creationdate><title>Plasma metabolic disturbances during pregnancy and postpartum in women with depression</title><author>Yu, Zhiqian ; Matsukawa, Naomi ; Saigusa, Daisuke ; Motoike, Ikuko N. ; Ono, Chiaki ; Okamura, Yasunobu ; Onuma, Tomomi ; Takahashi, Yuta ; Sakai, Mai ; Kudo, Hisaaki ; Obara, Taku ; Murakami, Keiko ; Shirota, Matusyuki ; Kikuchi, Saya ; Kobayashi, Natsuko ; Kikuchi, Yoshie ; Sugawara, Junichi ; Minegishi, Naoko ; Ogishima, Soichi ; Kinoshita, Kengo ; Yamamoto, Masayuki ; Yaegashi, Nobuo ; Kuriyama, Shinichi ; Koshiba, Seizo ; Tomita, Hiroaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-fd4d2a646ceac486c99e06d8bfd94c7fa053802b84365015b4f4a5ef84ae3d983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biological sciences</topic><topic>Metabolomics</topic><topic>Physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Zhiqian</creatorcontrib><creatorcontrib>Matsukawa, Naomi</creatorcontrib><creatorcontrib>Saigusa, Daisuke</creatorcontrib><creatorcontrib>Motoike, Ikuko N.</creatorcontrib><creatorcontrib>Ono, Chiaki</creatorcontrib><creatorcontrib>Okamura, Yasunobu</creatorcontrib><creatorcontrib>Onuma, Tomomi</creatorcontrib><creatorcontrib>Takahashi, Yuta</creatorcontrib><creatorcontrib>Sakai, Mai</creatorcontrib><creatorcontrib>Kudo, Hisaaki</creatorcontrib><creatorcontrib>Obara, Taku</creatorcontrib><creatorcontrib>Murakami, Keiko</creatorcontrib><creatorcontrib>Shirota, Matusyuki</creatorcontrib><creatorcontrib>Kikuchi, Saya</creatorcontrib><creatorcontrib>Kobayashi, Natsuko</creatorcontrib><creatorcontrib>Kikuchi, Yoshie</creatorcontrib><creatorcontrib>Sugawara, Junichi</creatorcontrib><creatorcontrib>Minegishi, Naoko</creatorcontrib><creatorcontrib>Ogishima, Soichi</creatorcontrib><creatorcontrib>Kinoshita, Kengo</creatorcontrib><creatorcontrib>Yamamoto, Masayuki</creatorcontrib><creatorcontrib>Yaegashi, Nobuo</creatorcontrib><creatorcontrib>Kuriyama, Shinichi</creatorcontrib><creatorcontrib>Koshiba, Seizo</creatorcontrib><creatorcontrib>Tomita, Hiroaki</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>iScience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Zhiqian</au><au>Matsukawa, Naomi</au><au>Saigusa, Daisuke</au><au>Motoike, Ikuko N.</au><au>Ono, Chiaki</au><au>Okamura, Yasunobu</au><au>Onuma, Tomomi</au><au>Takahashi, Yuta</au><au>Sakai, Mai</au><au>Kudo, Hisaaki</au><au>Obara, Taku</au><au>Murakami, Keiko</au><au>Shirota, Matusyuki</au><au>Kikuchi, Saya</au><au>Kobayashi, Natsuko</au><au>Kikuchi, Yoshie</au><au>Sugawara, Junichi</au><au>Minegishi, Naoko</au><au>Ogishima, Soichi</au><au>Kinoshita, Kengo</au><au>Yamamoto, Masayuki</au><au>Yaegashi, Nobuo</au><au>Kuriyama, Shinichi</au><au>Koshiba, Seizo</au><au>Tomita, Hiroaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasma metabolic disturbances during pregnancy and postpartum in women with depression</atitle><jtitle>iScience</jtitle><addtitle>iScience</addtitle><date>2022-12-22</date><risdate>2022</risdate><volume>25</volume><issue>12</issue><spage>105666</spage><epage>105666</epage><pages>105666-105666</pages><artnum>105666</artnum><issn>2589-0042</issn><eissn>2589-0042</eissn><abstract>Examining plasma metabolic profiling during pregnancy and postpartum could help clinicians understand the risk factors for postpartum depression (PPD) development. This analysis targeted paired plasma metabolites in mid-late gestational and 1 month postpartum periods in women with (n = 209) or without (n = 222) PPD. Gas chromatogram-mass spectrometry was used to analyze plasma metabolites at these two time points. Among the 170 objected plasma metabolites, principal component analysis distinguished pregnancy and postpartum metabolites but failed to discriminate women with and without PPD. Compared to women without PPD, those with PPD exhibited 37 metabolites with disparate changes during pregnancy and the 1-month postpartum period and an enriched citrate cycle. Machine learning and multivariate statistical analysis identified two or three compounds that could be potential biomarkers for PPD prediction during pregnancy. Our findings suggest metabolic disturbances in women with depression and may help to elucidate metabolic processes associated with PPD development. [Display omitted] •Maternal plasma metabolite level changes from pregnancy to postpartum•PPD is related to metabolic disturbances during pregnancy•Disturbance metabolites enrich the citrate cycle•Gestational metabolites can predict PPD during pregnancy Biological sciences; Physiology; Metabolomics</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36505921</pmid><doi>10.1016/j.isci.2022.105666</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-4827-5922</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2589-0042
ispartof iScience, 2022-12, Vol.25 (12), p.105666-105666, Article 105666
issn 2589-0042
2589-0042
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9732390
source ScienceDirect; PubMed
subjects Biological sciences
Metabolomics
Physiology
title Plasma metabolic disturbances during pregnancy and postpartum in women with depression
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T09%3A45%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Plasma%20metabolic%20disturbances%20during%20pregnancy%20and%20postpartum%20in%20women%20with%20depression&rft.jtitle=iScience&rft.au=Yu,%20Zhiqian&rft.date=2022-12-22&rft.volume=25&rft.issue=12&rft.spage=105666&rft.epage=105666&rft.pages=105666-105666&rft.artnum=105666&rft.issn=2589-0042&rft.eissn=2589-0042&rft_id=info:doi/10.1016/j.isci.2022.105666&rft_dat=%3Cproquest_pubme%3E2753664946%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c455t-fd4d2a646ceac486c99e06d8bfd94c7fa053802b84365015b4f4a5ef84ae3d983%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2753664946&rft_id=info:pmid/36505921&rfr_iscdi=true