Prenatal salivary sex hormone levels and birth-weight-for-gestational age

Svensson, Katherine; Just, Allan C.; Fleisch, Abby F.; Sanders, Alison P.; Tamayo‐Ortiz, Marcela; Baccarelli, Andrea A.; Wright, Rosalind J.; Téllez-Rojo, Martha M.; Wright, Robert O.; Burris, Heather H.

doi:10.1038/s41372-019-0385-y

Cited by 16 publications

(10 citation statements)

References 48 publications

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“…The peak of m/z 289.2162 and RT 4.83 min. is a putative C19 steroid hormone, probably testosterone which have been previously linked with birth weight (42)(43)(44). Both of these peaks passed the 60% coverage cutoff (TH4) but failed to pass the 10,000 peak height in 2% sample cutoff (TH3) and therefore were missed in the original publication's statistical analysis (Table 5).…”

Section: Figure 4 | Rejection Of Biological Relevant Peaks By Peak Height and Detection Frequency Thresholdsmentioning

confidence: 99%

Data Processing Thresholds for Abundance and Sparsity and Missed Biological Insights in an Untargeted Chemical Analysis of Blood Specimens for Exposomics

Barupal

Baygi

Wright

et al. 2021

Front. Public Health

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Background: An untargeted chemical analysis of bio-fluids provides semi-quantitative data for thousands of chemicals for expanding our understanding about relationships among metabolic pathways, diseases, phenotypes and exposures. During the processing of mass spectral and chromatography data, various signal thresholds are used to control the number of peaks in the final data matrix that is used for statistical analyses. However, commonly used stringent thresholds generate constrained data matrices which may under-represent the detected chemical space, leading to missed biological insights in the exposome research.Methods: We have re-analyzed a liquid chromatography high resolution mass spectrometry data set for a publicly available epidemiology study (n = 499) of human cord blood samples using the MS-DIAL software with minimally possible thresholds during the data processing steps. Peak list for individual files and the data matrix after alignment and gap-filling steps were summarized for different peak height and detection frequency thresholds. Correlations between birth weight and LC/MS peaks in the newly generated data matrix were computed using the spearman correlation coefficient.Results: MS-DIAL software detected on average 23,156 peaks for individual LC/MS file and 63,393 peaks in the aligned peak table. A combination of peak height and detection frequency thresholds that was used in the original publication at the individual file and the peak alignment levels can reject 90% peaks from the untargeted chemical analysis dataset that was generated by MS-DIAL. Correlation analysis for birth weight data suggested that up to 80% of the significantly associated peaks were rejected by the data processing thresholds that were used in the original publication. The re-analysis with minimum possible thresholds recovered metabolic insights about C19 steroids and hydroxy-acyl-carnitines and their relationships with birth weight.Conclusions: Data processing thresholds for peak height and detection frequencies at individual data file and at the alignment level should be used at minimal possible level or completely avoided for mining untargeted chemical analysis data in the exposome research for discovering new biomarkers and mechanisms.

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Section: Figure 4 | Rejection Of Biological Relevant Peaks By Peak Height and Detection Frequency Thresholdsmentioning

confidence: 99%

Data Processing Thresholds for Abundance and Sparsity and Missed Biological Insights in an Untargeted Chemical Analysis of Blood Specimens for Exposomics

Barupal

Baygi

Wright

et al. 2021

Front. Public Health

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“…We found that high maternal T levels were inversely associated with neonatal health outcomes and physical growth. Neonates of mothers with high T levels spent more days in the hospital and showed delayed physical growth in body weight and length between birth and 40 weeks' GA. Svensson et al 25 reported that a high maternal T level was associated with lower birth weight, small for GA, and shorter gestation, which could contribute to less favorable neonatal health outcomes. The associations between high maternal T levels and low birth weight and small for GA remained even after adjusting for maternal age, BMI, parity, secondhand smoke exposure, education, SES, and infant sex.…”

Section: Discussionmentioning

confidence: 99%

“…This finding is contrary to that of Tarca et al, 42 who reported that mean birth weight at 40 weeks' GA was 133 g higher for neonates born to White mothers than those born to Black mothers. Barrett et al 15 found that Black women were more likely to have high T levels than White women, while Svensson et al 25 found that high T levels were inversely associated with birth weight and physical growth.…”

Section: Discussionmentioning

confidence: 99%

Sociodemographic and Biological Factors of Health Disparities of Mothers and Their Very Low Birth-Weight Infants

Cho¹,

Chien²,

Holditch‐Davis³

2022

Advances in Neonatal Care

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Background: Black mothers and their very low birth-weight infants in the United States have increased risk of adverse neonatal and maternal health outcomes compared with White mothers and infants. Disparities in adverse birth outcomes associated with sociodemographic factors are difficult to quantify and modify, limiting their usefulness in assessing intervention effects. Purpose: To test hypotheses that (1) the biological factors of maternal testosterone and cortisol are associated with sociodemographic factors and (2) both factors are associated with neonatal health and maternal mental health and healthy behaviors between birth and 40 weeks' gestational age. Methods: We used a descriptive, longitudinal design. Eighty-eight mothers and very low birth-weight neonates were recruited from a tertiary medical center in the United States. Data on sociodemographic factors and neonatal health were collected from medical records. Maternal mental health and healthy behaviors were collected with questionnaires. Maternal salivary testosterone and cortisol levels were measured using enzyme immunoassays. Data were analyzed primarily using general linear and mixed models. Results: High testosterone and/or low cortisol levels were associated with younger age, less education, enrollment in a federal assistance program, being unmarried, being Black, poorer neonatal health, and delayed physical growth. Low cortisol level was related to higher levels of depressive symptoms. Black mothers had fewer healthy behaviors than White mothers. Implications for Practice and Research: Findings confirm that biological factors are associated with sociodemographic factors, and both are associated with neonatal health and maternal mental health and healthy behaviors. We propose using sociodemographic and biological factors concurrently to identify risk and develop and evaluate ante- and postpartum interventions. Video abstract available at https://journals.na.lww.com/advancesinneonatalcare/Pages/videogallery.aspx?autoPlay=false&videoId=59

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“…For example, maternal testosterone levels cross the placenta have an effect on both placenta and the fetus. Indeed, maternal testosterone levels can affect fetal growth by increasing fetal testosterone levels and changing both maternal and placenta metabolism ( Svensson et al, 2019 ). Also maternal estrogens and the estrogen (aromatase) complex within the placenta facilitate the increase of blood flow to the gravid uterus and placenta ( Evans, 2007 ; Makieva et al, 2014 ), thus contributing to a normal fetal growth ( Escobar-Morreale et al, 2012 ).…”

Section: Discussionmentioning

confidence: 99%

Non-linear and non-additive associations between the pregnancy metabolome and birthweight

Colicino

Ferrari

Cowell

et al. 2021

Environment International

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Prenatal salivary sex hormone levels and birth-weight-for-gestational age

Cited by 16 publications

References 48 publications

Data Processing Thresholds for Abundance and Sparsity and Missed Biological Insights in an Untargeted Chemical Analysis of Blood Specimens for Exposomics

Data Processing Thresholds for Abundance and Sparsity and Missed Biological Insights in an Untargeted Chemical Analysis of Blood Specimens for Exposomics

Sociodemographic and Biological Factors of Health Disparities of Mothers and Their Very Low Birth-Weight Infants

Non-linear and non-additive associations between the pregnancy metabolome and birthweight

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