Metabolomics analysis of placental tissue obtained from patients with fetal growth restriction
Aim The aim of this study was to determine whether there was a difference in placental metabolite profiles between patients with fetal growth restriction (FGR) and healthy controls. Methods The study included 10 patients with FGR diagnosis with 14 healthy controls with both matched maternal age and...
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| Veröffentlicht in: | The journal of obstetrics and gynaecology research 2022-04, Vol.48 (4), p.920-929 |
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| container_title | The journal of obstetrics and gynaecology research |
| container_volume | 48 |
| creator | Karaer, Abdullah Mumcu, Akın Arda Düz, Senem Tuncay, Görkem Doğan, Berat |
| description | Aim
The aim of this study was to determine whether there was a difference in placental metabolite profiles between patients with fetal growth restriction (FGR) and healthy controls.
Methods
The study included 10 patients with FGR diagnosis with 14 healthy controls with both matched maternal age and body mass index. 1H HR‐MAS NMR spectroscopy data obtained from placental tissue samples of patients with FGR and healthy control group were analyzed with bioinformatics methods. The obtained results of metabolite levels were further validated with the internal standard (IS) quantification method.
Results
Principal component analysis (PCA) and the partial least squares discriminant analysis (PLS‐DA) score plots obtained with the multivariate statistical analysis of preprocessed spectral data shows a separation between the samples from patients with FGR and healthy controls. Bioinformatics analysis results suggest that the placental levels of lactate, glutamine, glycerophosphocholine, phosphocholine, taurine, and myoinositol are increased in patients with FGR compared to the healthy controls.
Conclusions
Placental metabolic dysfunctions are a common occurrence in FGR. |
| doi_str_mv | 10.1111/jog.15173 |
| format | Article |
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The aim of this study was to determine whether there was a difference in placental metabolite profiles between patients with fetal growth restriction (FGR) and healthy controls.
Methods
The study included 10 patients with FGR diagnosis with 14 healthy controls with both matched maternal age and body mass index. 1H HR‐MAS NMR spectroscopy data obtained from placental tissue samples of patients with FGR and healthy control group were analyzed with bioinformatics methods. The obtained results of metabolite levels were further validated with the internal standard (IS) quantification method.
Results
Principal component analysis (PCA) and the partial least squares discriminant analysis (PLS‐DA) score plots obtained with the multivariate statistical analysis of preprocessed spectral data shows a separation between the samples from patients with FGR and healthy controls. Bioinformatics analysis results suggest that the placental levels of lactate, glutamine, glycerophosphocholine, phosphocholine, taurine, and myoinositol are increased in patients with FGR compared to the healthy controls.
Conclusions
Placental metabolic dysfunctions are a common occurrence in FGR.</description><identifier>ISSN: 1341-8076</identifier><identifier>EISSN: 1447-0756</identifier><identifier>DOI: 10.1111/jog.15173</identifier><identifier>PMID: 35104920</identifier><language>eng</language><publisher>Kyoto, Japan: John Wiley & Sons Australia, Ltd</publisher><subject>Bioinformatics ; Body mass index ; Discriminant analysis ; Female ; fetal growth restriction ; Fetal Growth Retardation - diagnosis ; Fetuses ; Glutamine ; Humans ; Lactic acid ; Magnetic resonance spectroscopy ; Maternal Age ; Metabolomics ; NMR ; Nuclear magnetic resonance ; Phosphocholine ; Placenta ; Placenta - metabolism ; Placenta Diseases - metabolism ; Pregnancy ; Statistical analysis ; Taurine</subject><ispartof>The journal of obstetrics and gynaecology research, 2022-04, Vol.48 (4), p.920-929</ispartof><rights>2022 Japan Society of Obstetrics and Gynecology.</rights><rights>2022 Japan Society of Obstetrics and Gynecology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3773-c2ae6b41be26aaca378f6b084d073b5630dec0aaaa2eab381bf7dee9a43073113</citedby><cites>FETCH-LOGICAL-c3773-c2ae6b41be26aaca378f6b084d073b5630dec0aaaa2eab381bf7dee9a43073113</cites><orcidid>0000-0002-2010-6211 ; 0000-0002-9325-7993</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjog.15173$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjog.15173$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35104920$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Karaer, Abdullah</creatorcontrib><creatorcontrib>Mumcu, Akın</creatorcontrib><creatorcontrib>Arda Düz, Senem</creatorcontrib><creatorcontrib>Tuncay, Görkem</creatorcontrib><creatorcontrib>Doğan, Berat</creatorcontrib><title>Metabolomics analysis of placental tissue obtained from patients with fetal growth restriction</title><title>The journal of obstetrics and gynaecology research</title><addtitle>J Obstet Gynaecol Res</addtitle><description>Aim
The aim of this study was to determine whether there was a difference in placental metabolite profiles between patients with fetal growth restriction (FGR) and healthy controls.
Methods
The study included 10 patients with FGR diagnosis with 14 healthy controls with both matched maternal age and body mass index. 1H HR‐MAS NMR spectroscopy data obtained from placental tissue samples of patients with FGR and healthy control group were analyzed with bioinformatics methods. The obtained results of metabolite levels were further validated with the internal standard (IS) quantification method.
Results
Principal component analysis (PCA) and the partial least squares discriminant analysis (PLS‐DA) score plots obtained with the multivariate statistical analysis of preprocessed spectral data shows a separation between the samples from patients with FGR and healthy controls. Bioinformatics analysis results suggest that the placental levels of lactate, glutamine, glycerophosphocholine, phosphocholine, taurine, and myoinositol are increased in patients with FGR compared to the healthy controls.
Conclusions
Placental metabolic dysfunctions are a common occurrence in FGR.</description><subject>Bioinformatics</subject><subject>Body mass index</subject><subject>Discriminant analysis</subject><subject>Female</subject><subject>fetal growth restriction</subject><subject>Fetal Growth Retardation - diagnosis</subject><subject>Fetuses</subject><subject>Glutamine</subject><subject>Humans</subject><subject>Lactic acid</subject><subject>Magnetic resonance spectroscopy</subject><subject>Maternal Age</subject><subject>Metabolomics</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Phosphocholine</subject><subject>Placenta</subject><subject>Placenta - metabolism</subject><subject>Placenta Diseases - metabolism</subject><subject>Pregnancy</subject><subject>Statistical analysis</subject><subject>Taurine</subject><issn>1341-8076</issn><issn>1447-0756</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10E1PxCAQBmBiNH4f_AOGxIseqlBYaI_G-BmNF73aDHS6smnLCm02--9lXfVg4lyA8PBOGEKOODvnqS5mfnrOJ1yLDbLLpdQZ0xO1mfZC8qxgWu2QvRhnjHFd8mKb7IgJZ7LM2S55e8IBjG9952yk0EO7jC5S39B5Cxb7AVo6uBhHpN4M4HqsaRN8R-cwuHQd6cIN77TBFZwGv0iHgHEIzg7O9wdkq4E24uH3uk9eb65fru6yx-fb-6vLx8wKrUVmc0BlJDeYKwALQheNMqyQNdPCTJRgNVoGqXIEIwpuGl0jliBFApyLfXK6zp0H_zGm_lXnosW2hR79GKtc5bKUZSFVoid_6MyPIX18paSSmglVJHW2Vjb4GAM21Ty4DsKy4qxaDT29mlZfQ0_2-DtxNB3Wv_JnyglcrMHCtbj8P6l6eL5dR34C106M3Q</recordid><startdate>202204</startdate><enddate>202204</enddate><creator>Karaer, Abdullah</creator><creator>Mumcu, Akın</creator><creator>Arda Düz, Senem</creator><creator>Tuncay, Görkem</creator><creator>Doğan, Berat</creator><general>John Wiley & Sons Australia, Ltd</general><general>Wiley Subscription Services, Inc</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>7T5</scope><scope>7TO</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2010-6211</orcidid><orcidid>https://orcid.org/0000-0002-9325-7993</orcidid></search><sort><creationdate>202204</creationdate><title>Metabolomics analysis of placental tissue obtained from patients with fetal growth restriction</title><author>Karaer, Abdullah ; Mumcu, Akın ; Arda Düz, Senem ; Tuncay, Görkem ; Doğan, Berat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3773-c2ae6b41be26aaca378f6b084d073b5630dec0aaaa2eab381bf7dee9a43073113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Bioinformatics</topic><topic>Body mass index</topic><topic>Discriminant analysis</topic><topic>Female</topic><topic>fetal growth restriction</topic><topic>Fetal Growth Retardation - diagnosis</topic><topic>Fetuses</topic><topic>Glutamine</topic><topic>Humans</topic><topic>Lactic acid</topic><topic>Magnetic resonance spectroscopy</topic><topic>Maternal Age</topic><topic>Metabolomics</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Phosphocholine</topic><topic>Placenta</topic><topic>Placenta - metabolism</topic><topic>Placenta Diseases - metabolism</topic><topic>Pregnancy</topic><topic>Statistical analysis</topic><topic>Taurine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karaer, Abdullah</creatorcontrib><creatorcontrib>Mumcu, Akın</creatorcontrib><creatorcontrib>Arda Düz, Senem</creatorcontrib><creatorcontrib>Tuncay, Görkem</creatorcontrib><creatorcontrib>Doğan, Berat</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>The journal of obstetrics and gynaecology research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karaer, Abdullah</au><au>Mumcu, Akın</au><au>Arda Düz, Senem</au><au>Tuncay, Görkem</au><au>Doğan, Berat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolomics analysis of placental tissue obtained from patients with fetal growth restriction</atitle><jtitle>The journal of obstetrics and gynaecology research</jtitle><addtitle>J Obstet Gynaecol Res</addtitle><date>2022-04</date><risdate>2022</risdate><volume>48</volume><issue>4</issue><spage>920</spage><epage>929</epage><pages>920-929</pages><issn>1341-8076</issn><eissn>1447-0756</eissn><abstract>Aim
The aim of this study was to determine whether there was a difference in placental metabolite profiles between patients with fetal growth restriction (FGR) and healthy controls.
Methods
The study included 10 patients with FGR diagnosis with 14 healthy controls with both matched maternal age and body mass index. 1H HR‐MAS NMR spectroscopy data obtained from placental tissue samples of patients with FGR and healthy control group were analyzed with bioinformatics methods. The obtained results of metabolite levels were further validated with the internal standard (IS) quantification method.
Results
Principal component analysis (PCA) and the partial least squares discriminant analysis (PLS‐DA) score plots obtained with the multivariate statistical analysis of preprocessed spectral data shows a separation between the samples from patients with FGR and healthy controls. Bioinformatics analysis results suggest that the placental levels of lactate, glutamine, glycerophosphocholine, phosphocholine, taurine, and myoinositol are increased in patients with FGR compared to the healthy controls.
Conclusions
Placental metabolic dysfunctions are a common occurrence in FGR.</abstract><cop>Kyoto, Japan</cop><pub>John Wiley & Sons Australia, Ltd</pub><pmid>35104920</pmid><doi>10.1111/jog.15173</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-2010-6211</orcidid><orcidid>https://orcid.org/0000-0002-9325-7993</orcidid></addata></record> |
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| source | MEDLINE; Wiley Online Library All Journals |
| subjects | Bioinformatics Body mass index Discriminant analysis Female fetal growth restriction Fetal Growth Retardation - diagnosis Fetuses Glutamine Humans Lactic acid Magnetic resonance spectroscopy Maternal Age Metabolomics NMR Nuclear magnetic resonance Phosphocholine Placenta Placenta - metabolism Placenta Diseases - metabolism Pregnancy Statistical analysis Taurine |
| title | Metabolomics analysis of placental tissue obtained from patients with fetal growth restriction |
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