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Metabolic profiling of blood plasma in depression in pregnant women during early pregnancy.

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Title: Metabolic profiling of blood plasma in depression in pregnant women during early pregnancy.
Authors: Yang, Hui (AUTHOR), Jia, Shuqin (AUTHOR), Guo, Xunyi (AUTHOR), Chen, Jin (AUTHOR), Zou, Tao (AUTHOR)
Source: Australasian Psychiatry. Jun2025, Vol. 33 Issue 3, p448-456. 9p.
Subjects: Biomarkers, Pregnant women, Lysophospholipids, Mental depression, Liquid chromatography-mass spectrometry, Blood plasma, Metabolic profile tests, Pregnancy
Abstract: Objective: The study aimed to perform metabolic profiling of serum samples using liquid chromatography with mass spectroscopy (LC-MS) and to explore potential biomarkers of early trimester depression. Method: Using the Edinburgh Postnatal Depression Scale (EPDS), participants were randomly divided into study and control groups. Serum metabolic profiles of the two groups were analysed by using LC-MS. Differential metabolite and pathway analysis were identified by using orthogonal projections to latent structure-discriminant analysis (OPLS-DA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Additionally, least absolute shrinkage and selection operator (LASSO) logistic and receiver operating characteristic (ROC) curve analyses were also conducted to explore potential biomarkers of antenatal depression (AD). Results: The study included 41 participants, consisting of 16 subjects with AD and 25 controls. A total of 22 different metabolites were identified (p <.005), mainly affecting glycerophospholipid metabolism, linoleic acid metabolism, synthesis and degradation of ketone bodies, phenylalanine metabolism, and butanoate metabolism. The area under the ROC curve (AUC) for the LysoPC (24:0) was 0.858. This suggests that LysoPC (24:0) may be a potentially effective predictor of risk factors for AD. Conclusions: The study suggests that LysoPC (24:0) may be an effective and specific lipid biomarker for early trimester depression. [ABSTRACT FROM AUTHOR]
Copyright of Australasian Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
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  Data: Metabolic profiling of blood plasma in depression in pregnant women during early pregnancy.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yang%2C+Hui%22&quot;&gt;Yang, Hui&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Jia%2C+Shuqin%22&quot;&gt;Jia, Shuqin&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Guo%2C+Xunyi%22&quot;&gt;Guo, Xunyi&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Chen%2C+Jin%22&quot;&gt;Chen, Jin&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zou%2C+Tao%22&quot;&gt;Zou, Tao&lt;/searchLink&gt; (AUTHOR)
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Australasian+Psychiatry%22&quot;&gt;Australasian Psychiatry&lt;/searchLink&gt;. Jun2025, Vol. 33 Issue 3, p448-456. 9p.
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: The study aimed to perform metabolic profiling of serum samples using liquid chromatography with mass spectroscopy (LC-MS) and to explore potential biomarkers of early trimester depression. Method: Using the Edinburgh Postnatal Depression Scale (EPDS), participants were randomly divided into study and control groups. Serum metabolic profiles of the two groups were analysed by using LC-MS. Differential metabolite and pathway analysis were identified by using orthogonal projections to latent structure-discriminant analysis (OPLS-DA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Additionally, least absolute shrinkage and selection operator (LASSO) logistic and receiver operating characteristic (ROC) curve analyses were also conducted to explore potential biomarkers of antenatal depression (AD). Results: The study included 41 participants, consisting of 16 subjects with AD and 25 controls. A total of 22 different metabolites were identified (p &lt;.005), mainly affecting glycerophospholipid metabolism, linoleic acid metabolism, synthesis and degradation of ketone bodies, phenylalanine metabolism, and butanoate metabolism. The area under the ROC curve (AUC) for the LysoPC (24:0) was 0.858. This suggests that LysoPC (24:0) may be a potentially effective predictor of risk factors for AD. Conclusions: The study suggests that LysoPC (24:0) may be an effective and specific lipid biomarker for early trimester depression. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of Australasian Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/10398562241286679
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 448
    Subjects:
      – SubjectFull: Biomarkers
        Type: general
      – SubjectFull: Pregnant women
        Type: general
      – SubjectFull: Lysophospholipids
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Liquid chromatography-mass spectrometry
        Type: general
      – SubjectFull: Blood plasma
        Type: general
      – SubjectFull: Metabolic profile tests
        Type: general
      – SubjectFull: Pregnancy
        Type: general
    Titles:
      – TitleFull: Metabolic profiling of blood plasma in depression in pregnant women during early pregnancy.
        Type: main
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          Name:
            NameFull: Yang, Hui
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            NameFull: Jia, Shuqin
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            NameFull: Guo, Xunyi
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            NameFull: Chen, Jin
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            NameFull: Zou, Tao
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          Dates:
            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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              Value: 10398562
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              Value: 33
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            – TitleFull: Australasian Psychiatry
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