Maternal serum lipidomics identifies lysophosphatidic acid as a predictor of small for gestational age neonates. (14th September 2021)
- Record Type:
- Journal Article
- Title:
- Maternal serum lipidomics identifies lysophosphatidic acid as a predictor of small for gestational age neonates. (14th September 2021)
- Main Title:
- Maternal serum lipidomics identifies lysophosphatidic acid as a predictor of small for gestational age neonates
- Authors:
- Byeon, Seul Kee
Khanam, Rasheda
Rahman, Sayedur
Hasan, Tarik
Rizvi, Syed Jafar Raza
Madugundu, Anil K.
Ramarajan, Madan Gopal
Jung, Jae Hun
Chowdhury, Nabidul H.
Ahmed, Salahuddin
Raqib, Rubhana
Kim, Kwang Pyo
Piazza, Amy L.
Rinaldo, Piero
Pandey, Akhilesh
Baqui, Abdullah H.
AMANHI Bio-banking Study Group, - Abstract:
- Abstract : Lysophosphatidic acid was found to be decreased in mothers who subsequently delivered small for gestational age neonates during 24–28 weeks of pregnancy while it was increased in mothers who delivered control neonates. Abstract : To discover lipidomic alterations during pregnancy in mothers who subsequently delivered small for gestational age (SGA) neonates and identify predictive lipid markers that can help recognize and manage these mothers, we carried out untargeted lipidomics on maternal serum samples collected between 24–28 weeks of gestation. We used a nested case-control study design and serum from mothers who delivered SGA and appropriate for gestational age babies. We applied untargeted lipidomics using mass spectrometry to characterize lipids and discover changes associated with SGA births during pregnancy. Multivariate pattern recognition software Collaborative Laboratory Integrated Reports (CLIR) was used for the post-analytical recognition of range differences in lipid ratios that could differentiate between SGA and control mothers and their integration for complete separation between the two groups. Here, we report changes in lipids from serum collected during pregnancy in mothers who delivered SGA neonates. In contrast to normal pregnancies where lysophosphatidic acid increased over the course of the pregnancy owing to increased activity of lysophospholipase D, we observed a decrease (32%; P = 0.05) of 20:4-lysophosphatidic acid in SGA mothers,Abstract : Lysophosphatidic acid was found to be decreased in mothers who subsequently delivered small for gestational age neonates during 24–28 weeks of pregnancy while it was increased in mothers who delivered control neonates. Abstract : To discover lipidomic alterations during pregnancy in mothers who subsequently delivered small for gestational age (SGA) neonates and identify predictive lipid markers that can help recognize and manage these mothers, we carried out untargeted lipidomics on maternal serum samples collected between 24–28 weeks of gestation. We used a nested case-control study design and serum from mothers who delivered SGA and appropriate for gestational age babies. We applied untargeted lipidomics using mass spectrometry to characterize lipids and discover changes associated with SGA births during pregnancy. Multivariate pattern recognition software Collaborative Laboratory Integrated Reports (CLIR) was used for the post-analytical recognition of range differences in lipid ratios that could differentiate between SGA and control mothers and their integration for complete separation between the two groups. Here, we report changes in lipids from serum collected during pregnancy in mothers who delivered SGA neonates. In contrast to normal pregnancies where lysophosphatidic acid increased over the course of the pregnancy owing to increased activity of lysophospholipase D, we observed a decrease (32%; P = 0.05) of 20:4-lysophosphatidic acid in SGA mothers, which could potentially compromise fetal growth and development. Integration of lipid ratios in an interpretive tool (CLIR) could completely separate SGA mothers from controls demonstrating the power of untargeted lipidomic analyses for identifying novel predictive biomarkers. Additional studies are required for further assessment of the lipid biomarkers identified in this report. … (more)
- Is Part Of:
- Molecular omics. Volume 17:Number 6(2021)
- Journal:
- Molecular omics
- Issue:
- Volume 17:Number 6(2021)
- Issue Display:
- Volume 17, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 17
- Issue:
- 6
- Issue Sort Value:
- 2021-0017-0006-0000
- Page Start:
- 956
- Page End:
- 966
- Publication Date:
- 2021-09-14
- Subjects:
- Molecular biology -- Periodicals
Biochemistry -- Periodicals
Biological systems -- Periodicals
Molecular Biology
Computational Biology
Biochemistry
Biological systems
Molecular biology
Periodicals
Electronic journals
Periodicals
Fulltext
Internet Resources
Periodicals - Journal URLs:
- http://www.rsc.org/journals-books-databases/about-journals/molecular-omics/ ↗
http://pubs.rsc.org/en/journals/journalissues/mo#!recentarticles&adv ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/d1mo00131k ↗
- Languages:
- English
- ISSNs:
- 2515-4184
- Deposit Type:
- Legaldeposit
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