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      Longitudinal profiles of plasma eicosanoids during pregnancy and size for gestational age at delivery: A nested case-control study

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          Abstract

          Background

          Inflammation during pregnancy is hypothesized to influence fetal growth. Eicosanoids, an important class of lipid mediators derived from polyunsaturated fatty acids, can act as both direct influences and biomarkers of inflammation through a variety of biological pathways. However, quantifying these distinct inflammatory pathways has proven difficult. We aimed to characterize a comprehensive panel of plasma eicosanoids longitudinally across gestation in pregnant women and to determine whether levels differed by infant size at delivery.

          Methods and findings

          Our data come from a case–control study of 90 pregnant women nested within the LIFECODES prospective birth cohort study conducted at Brigham and Women’s Hospital in Boston, Massachusetts. This study included 31 women who delivered small for gestational age (SGA) babies (SGA, ≤10th percentile), 28 who delivered large for gestational age (LGA) babies (≥90th percentile), and 31 who delivered appropriate for gestational age (AGA) babies (controls, >10th to <90th percentile). All deliveries occurred between 2010 and 2017. Most participants were in their early 30s (median age: 33 years), of white (60%) or black (20%) race/ethnicity, and of normal pre-pregnancy BMI (median BMI: 23.5 kg/m 2). Women provided non-fasting plasma samples during 3 prenatal study visits (at median 11, 25, and 35 weeks gestation) and were analyzed for a panel of eicosanoids. Eicosanoids were grouped by biosynthetic pathway, defined by (1) the fatty acid precursor, including linoleic acid (LA), arachidonic acid (AA), docosahexaenoic acid (DHA), or eicosapentaenoic acid (EPA), and (2) the enzyme group, including cyclooxygenase (COX), lipoxygenase (LOX), or cytochrome P450 (CYP). Additionally, the concentrations of the 4 fatty acids (LA, AA, DHA, and EPA) were measured in maternal plasma. Analytes represent lipids from non-esterified plasma. We examined correlations among eicosanoids and trajectories across pregnancy. Differences in longitudinal concentrations between case groups were examined using Bayesian linear mixed effects models, which included participant-specific random intercepts and penalized splines on gestational age. Results showed maternal plasma levels of eicosanoids and fatty acids generally followed U-shaped curve patterns across gestation. Bayesian models showed that associations between eicosanoids and case status varied by biosynthetic pathway. Eicosanoids derived from AA via the CYP and LOX biosynthetic pathways were positively associated with SGA. The adjusted mean concentration of 12-HETE, a LOX pathway product, was 56.2% higher (95% credible interval 6.6%, 119.1%) among SGA cases compared to AGA controls. Eicosanoid associations with LGA were mostly null, but negative associations were observed with eicosanoids derived from AA by LOX enzymes. The fatty acid precursors had estimated mean concentrations 41%–97% higher among SGA cases and 33%–39% lower among LGA cases compared to controls. Primary limitations of the study included the inability to explore the potential periods of susceptibility of eicosanoids on infant size due to limited sample size, along with the use of infant size at delivery instead of longitudinal ultrasound measures to estimate fetal growth.

          Conclusions

          In this nested case–control study, we found that eicosanoids and fatty acids systematically change in maternal plasma over pregnancy. Eicosanoids from specific inflammation-related pathways were higher in mothers of SGA cases and mostly similar in mothers of LGA cases compared to controls. These findings can provide deeper insight into etiologic mechanisms of abnormal fetal growth outcomes.

          Abstract

          In a cohort study, Barrett Welch and colleagues investigate associations between infant size for gestational age and plasma eicosanoids in pregnant women.

          Author summary

          Why was this study done?
          • Inflammation during pregnancy is thought to influence fetal growth. Eicosanoids are an important class of lipid molecules derived from polyunsaturated fatty acids that can directly influence inflammation and be used as biomarkers of activity. This study characterized a large selection of these eicosanoids and fatty acids during pregnancy.

          • Although some individual eicosanoids have been previously measured in pregnancy, this study provides a novel evaluation of a comprehensive eicosanoid panel for (1) changes over time in pregnant women and (2) associations with infant size for gestational age at delivery.

          What did the researchers do and find?
          • Compared to mothers with infants of appropriate size for their gestational age (the control group), mothers of infants small for gestational age had higher blood plasma concentrations of eicosanoids related to inflammation. However, levels in mothers of large for gestational age infants were similar to those of the control group.

          What do these findings mean?
          • This study provides additional evidence that inflammation processes related to lipid metabolism fluctuate over pregnancy. The differences in eicosanoid levels between mothers by infant size at delivery outcomes may provide further insights into mechanisms of disease and possible therapeutic targets.

          • Future studies would benefit from a larger number of participants to evaluate differences in how eicosanoid levels change over time during pregnancy in cases compared to controls. Additionally, improving identification of cases and controls (e.g., with repeated ultrasound measurements) could improve assessment of these relationships.

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          Most cited references40

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          Why We (Usually) Don't Have to Worry About Multiple Comparisons

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            A nearly continuous measure of birth weight for gestational age using a United States national reference

            Background Fully understanding the determinants and sequelae of fetal growth requires a continuous measure of birth weight adjusted for gestational age. Published United States reference data, however, provide estimates only of the median and lowest and highest 5th and 10th percentiles for birth weight at each gestational age. The purpose of our analysis was to create more continuous reference measures of birth weight for gestational age for use in epidemiologic analyses. Methods We used data from the most recent nationwide United States Natality datasets to generate multiple reference percentiles of birth weight at each completed week of gestation from 22 through 44 weeks. Gestational age was determined from last menstrual period. We analyzed data from 6,690,717 singleton infants with recorded birth weight and sex born to United States resident mothers in 1999 and 2000. Results Birth weight rose with greater gestational age, with increasing slopes during the third trimester and a leveling off beyond 40 weeks. Boys had higher birth weights than girls, later born children higher weights than firstborns, and infants born to non-Hispanic white mothers higher birth weights than those born to non-Hispanic black mothers. These results correspond well with previously published estimates reporting limited percentiles. Conclusions Our method provides comprehensive reference values of birth weight at 22 through 44 completed weeks of gestation, derived from broadly based nationwide data. Other approaches require assumptions of normality or of a functional relationship between gestational age and birth weight, which may not be appropriate. These data should prove useful for researchers investigating the predictors and outcomes of altered fetal growth.
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              Committee Opinion No 700: Methods for Estimating the Due Date.

              (2017)
              Accurate dating of pregnancy is important to improve outcomes and is a research and public health imperative. As soon as data from the last menstrual period, the first accurate ultrasound examination, or both are obtained, the gestational age and the estimated due date (EDD) should be determined, discussed with the patient, and documented clearly in the medical record. Subsequent changes to the EDD should be reserved for rare circumstances, discussed with the patient, and documented clearly in the medical record. A pregnancy without an ultrasound examination that confirms or revises the EDD before 22 0/7 weeks of gestational age should be considered suboptimally dated. When determined from the methods outlined in this document for estimating the due date, gestational age at delivery represents the best obstetric estimate for the purpose of clinical care and should be recorded on the birth certificate. For the purposes of research and surveillance, the best obstetric estimate, rather than estimates based on the last menstrual period alone, should be used as the measure for gestational age.
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                Author and article information

                Contributors
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                14 August 2020
                August 2020
                : 17
                : 8
                : e1003271
                Affiliations
                [1 ] Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
                [2 ] Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
                [3 ] Mass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
                [4 ] Division of Maternal-Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
                National Institutes of Health, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-1304-2272
                http://orcid.org/0000-0002-0955-6107
                http://orcid.org/0000-0002-2260-816X
                http://orcid.org/0000-0002-3706-9584
                http://orcid.org/0000-0001-8467-3250
                Article
                PMEDICINE-D-20-00966
                10.1371/journal.pmed.1003271
                7428021
                32797061
                9840571b-b9ec-45c6-ad7e-1954a9eaef57

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 20 March 2020
                : 20 July 2020
                Page count
                Figures: 4, Tables: 1, Pages: 19
                Funding
                Funded by: National Institute of Environmental Health Sciences (US)
                Award ID: ZIAES103321
                Award Recipient :
                This research was funded by the Intramural Research Program of the NIH, National Institute of Environmental Health Sciences (NIEHS) awarded to KKF (Grant: ZIAES103321). Authors from NIEHS are employed by the U.S. Federal Government. The website of NIEHS is https://www.niehs.nih.gov/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Neurochemistry
                Neurochemicals
                Eicosanoids
                Biology and Life Sciences
                Neuroscience
                Neurochemistry
                Neurochemicals
                Eicosanoids
                Biology and Life Sciences
                Biochemistry
                Lipids
                Fatty Acids
                Medicine and Health Sciences
                Women's Health
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                Custom metadata
                Data from this study cannot be shared publicly to maintain the confidentiality of patients and data access must be approved by an ethics committee. Requests to access study data can be submitted to the NIEHS Office of Technology Transfer ( sharon.soucek@ 123456nih.gov ).

                Medicine
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