Postpartum plasma metabolomic profile among women with preeclampsia and preterm delivery: implications for long-term health View Full Text


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Article Info

DATE

2020-10-13

AUTHORS

Xiumei Hong, Boyang Zhang, Liming Liang, Yan Zhang, Yuelong Ji, Guoying Wang, Hongkai Ji, Clary B. Clish, Irina Burd, Colleen Pearson, Barry Zuckerman, Frank B. Hu, Xiaobin Wang

ABSTRACT

BackgroundPreeclampsia and preterm delivery (PTD) are believed to affect women’s long-term health including cardiovascular disease (CVD), but the biological underpinnings are largely unknown. We aimed to test whether maternal postpartum metabolomic profiles, especially CVD-related metabolites, varied according to PTD subtypes with and without preeclampsia, in a US urban, low-income multi-ethnic population.MethodsThis study, from the Boston Birth Cohort, included 980 women with term delivery, 79 with medically indicated PTD (mPTD) and preeclampsia, 52 with mPTD only, and 219 with spontaneous PTD (sPTD). Metabolomic profiling in postpartum plasma was conducted by liquid chromatography-mass spectrometry. Linear regression models were used to assess the associations of each metabolite with mPTD with preeclampsia, mPTD only, and sPTD, respectively, adjusting for pertinent covariates. Weighted gene coexpression network analysis was applied to investigate interconnected metabolites associated with the PTD/preeclampsia subgroups. Bonferroni correction was applied to account for multiple testing.ResultsA total of 380 known metabolites were analyzed. Compared to term controls, women with mPTD and preeclampsia showed a significant increase in 36 metabolites, mainly representing acylcarnitines and multiple classes of lipids (diacylglycerols, triacylglycerols, phosphocholines, and lysophosphocholines), as well as a decrease in 11 metabolites including nucleotides, steroids, and cholesteryl esters (CEs) (P < 1.3 × 10−4). Alterations of diacylglycerols, triacylglycerols, and CEs in women with mPTD and preeclampsia remained significant when compared to women with mPTD only. In contrast, the metabolite differences between women with mPTD only and term controls were only seen in phosphatidylethanolamine class. Women with sPTD had significantly different levels of 16 metabolites mainly in amino acid, nucleotide, and steroid classes compared to term controls, of which, anthranilic acid, bilirubin, and steroids also had shared associations in women with mPTD and preeclampsia.ConclusionIn this sample of US high-risk women, PTD/preeclampsia subgroups each showed some unique and shared associations with maternal postpartum plasma metabolites, including those known to be predictors of future CVD. These findings, if validated, may provide new insight into metabolomic alterations underlying clinically observed PTD/preeclampsia subgroups and implications for women’s future cardiometabolic health. More... »

PAGES

277

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12916-020-01741-4

DOI

http://dx.doi.org/10.1186/s12916-020-01741-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1131627857

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/33046083


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18 schema:description BackgroundPreeclampsia and preterm delivery (PTD) are believed to affect women’s long-term health including cardiovascular disease (CVD), but the biological underpinnings are largely unknown. We aimed to test whether maternal postpartum metabolomic profiles, especially CVD-related metabolites, varied according to PTD subtypes with and without preeclampsia, in a US urban, low-income multi-ethnic population.MethodsThis study, from the Boston Birth Cohort, included 980 women with term delivery, 79 with medically indicated PTD (mPTD) and preeclampsia, 52 with mPTD only, and 219 with spontaneous PTD (sPTD). Metabolomic profiling in postpartum plasma was conducted by liquid chromatography-mass spectrometry. Linear regression models were used to assess the associations of each metabolite with mPTD with preeclampsia, mPTD only, and sPTD, respectively, adjusting for pertinent covariates. Weighted gene coexpression network analysis was applied to investigate interconnected metabolites associated with the PTD/preeclampsia subgroups. Bonferroni correction was applied to account for multiple testing.ResultsA total of 380 known metabolites were analyzed. Compared to term controls, women with mPTD and preeclampsia showed a significant increase in 36 metabolites, mainly representing acylcarnitines and multiple classes of lipids (diacylglycerols, triacylglycerols, phosphocholines, and lysophosphocholines), as well as a decrease in 11 metabolites including nucleotides, steroids, and cholesteryl esters (CEs) (P < 1.3 × 10−4). Alterations of diacylglycerols, triacylglycerols, and CEs in women with mPTD and preeclampsia remained significant when compared to women with mPTD only. In contrast, the metabolite differences between women with mPTD only and term controls were only seen in phosphatidylethanolamine class. Women with sPTD had significantly different levels of 16 metabolites mainly in amino acid, nucleotide, and steroid classes compared to term controls, of which, anthranilic acid, bilirubin, and steroids also had shared associations in women with mPTD and preeclampsia.ConclusionIn this sample of US high-risk women, PTD/preeclampsia subgroups each showed some unique and shared associations with maternal postpartum plasma metabolites, including those known to be predictors of future CVD. These findings, if validated, may provide new insight into metabolomic alterations underlying clinically observed PTD/preeclampsia subgroups and implications for women’s future cardiometabolic health.
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24 schema:keywords BackgroundPreeclampsia
25 Boston Birth Cohort
26 ConclusionIn
27 MPTD
28 MethodsThis study
29 PTD subtypes
30 ResultsA total
31 acid
32 acylcarnitines
33 alterations
34 amino acids
35 analysis
36 anthranilic acid
37 association
38 bilirubin
39 biological underpinnings
40 birth cohort
41 cardiometabolic health
42 cardiovascular disease
43 cholesteryl esters
44 chromatography-mass spectrometry
45 class
46 coexpression network analysis
47 cohort
48 contrast
49 control
50 correction
51 covariates
52 decrease
53 delivery
54 diacylglycerol
55 differences
56 different levels
57 disease
58 esters
59 findings
60 future cardiometabolic health
61 future cardiovascular disease
62 gene coexpression network analysis
63 health
64 high-risk women
65 implications
66 increase
67 insights
68 levels
69 linear regression models
70 lipids
71 liquid chromatography-mass spectrometry
72 long-term health
73 metabolite differences
74 metabolites
75 metabolomic alterations
76 metabolomic profiles
77 metabolomic profiling
78 model
79 multi-ethnic population
80 multiple classes
81 multiple testing
82 network analysis
83 new insights
84 nucleotides
85 pertinent covariates
86 phosphatidylethanolamine class
87 plasma
88 plasma metabolites
89 population
90 postpartum
91 postpartum plasma
92 predictors
93 preeclampsia
94 preterm delivery
95 profile
96 profiling
97 regression models
98 samples
99 shared associations
100 significant increase
101 spectrometry
102 spontaneous PTD
103 spontaneous preterm delivery
104 steroid classes
105 steroids
106 study
107 subgroups
108 subtypes
109 term controls
110 term delivery
111 testing
112 total
113 triacylglycerols
114 underpinnings
115 uses
116 weighted gene coexpression network analysis
117 women
118 women's long-term health
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