Maternal plasma lipids are involved in the pathogenesis of preterm birth

被引:0
|
作者
Chen, Yile [1 ]
He, Bing [1 ]
Liu, Yu [1 ]
Aung, Max T. [2 ]
Rosario-Pabon, Zaira [3 ]
Velez-Vega, Carmen M. [3 ]
Alshawabkeh, Akram [4 ]
Cordero, Jose F. [5 ]
Meeker, John D. [6 ]
Garmire, Lana X. [1 ]
机构
[1] Univ Michigan, Dept Computat Med & Bioinformat, Room 3366,Bldg 520,1600 Huron Pkwy, Ann Arbor, MI 48105 USA
[2] Univ Calif San Francisco, Sch Med, Dept Obstet Gynecol & Reprod Sci, Program Reprod Hlth & Environm, San Francisco, CA 94158 USA
[3] Univ Puerto Rico, Grad Sch Publ Hlth, UPR Med Sci Campus, San Juan 365067, Puerto Rico, Spain
[4] Northeastern Univ, Coll Engn, Boston, MA 02115 USA
[5] Univ Georgia, Dept Epidemiol & Biostat, Athens, GA 30602 USA
[6] Univ Michigan, Sch Publ Hlth, Dept Environm & Hlth Sci, Ann Arbor, MI 48109 USA
来源
GIGASCIENCE | 2022年 / 11卷
基金
美国国家卫生研究院;
关键词
preterm; metabolomics; lipid; metabolic pathway; biomarkers; network; fatty acid;
D O I
暂无
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Preterm birth is defined by the onset of labor at a gestational age shorter than 37 weeks, and it can lead to premature birth and impose a threat to newborns' health. The Puerto Rico PROTECT cohort is a well-characterized prospective birth cohort that was designed to investigate environmental and social contributors to preterm birth in Puerto Rico, where preterm birth rates have been elevated in recent decades. To elucidate possible relationships between metabolites and preterm birth in this cohort, we conducted a nested case-control study to conduct untargeted metabolomic characterization of maternal plasma of 31 women who experienced preterm birth and 69 controls who underwent full-term labor at 24-28 gestational weeks. Results A total of 333 metabolites were identified and annotated with liquid chromatography/mass spectrometry. Subsequent weighted gene correlation network analysis shows that the fatty acid and carene-enriched module has a significant positive association (P = 8e-04, FDR = 0.006) with preterm birth. After controlling for potential clinical confounders, a total of 38 metabolites demonstrated significant changes uniquely associated with preterm birth, where 17 of them were preterm biomarkers. Among 7 machine-learning classifiers, the application of random forest achieved a highly accurate and specific prediction (AUC = 0.92) for preterm birth in testing data, demonstrating their strong potential as biomarkers for preterm births. The 17 preterm biomarkers are involved in cell signaling, lipid metabolism, and lipid peroxidation functions. Additional modeling using only the 19 spontaneous preterm births (sPTB) and controls identifies 16 sPTB markers, with an AUC of 0.89 in testing data. Half of the sPTB overlap with those markers for preterm births. Further causality analysis infers that suberic acid upregulates several fatty acids to promote preterm birth. Conclusions Altogether, this study demonstrates the involvement of lipids, particularly fatty acids, in the pathogenesis of preterm birth.
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页数:11
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