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Your search keyword '"Koen, Nastassja"' showing total 7 results
Start Over Author "Koen, Nastassja" Publisher biomed central
7 results on '"Koen, Nastassja"'

1. Blood-based DNA methylation and exposure risk scores predict PTSD with high accuracy in military and civilian cohorts

Author

Wani, Agaz H., Katrinli, Seyma, Zhao, Xiang, Daskalakis, Nikolaos P., Zannas, Anthony S., Aiello, Allison E., Baker, Dewleen G., Boks, Marco P., Brick, Leslie A., Chen, Chia-Yen, Dalvie, Shareefa, Fortier, Catherine, Geuze, Elbert, Hayes, Jasmeet P., Kessler, Ronald C., King, Anthony P., Koen, Nastassja, Liberzon, Israel, Lori, Adriana, Luykx, Jurjen J., Maihofer, Adam X., Milberg, William, Miller, Mark W., Mufford, Mary S., Nugent, Nicole R., Rauch, Sheila, Ressler, Kerry J., Risbrough, Victoria B., Rutten, Bart P. F., Stein, Dan J., Stein, Murray B., Ursano, Robert J., Verfaellie, Mieke H., Vermetten, Eric, Vinkers, Christiaan H., Ware, Erin B., Wildman, Derek E., Wolf, Erika J., Nievergelt, Caroline M., Logue, Mark W., Smith, Alicia K., and Uddin, Monica

Published
2024
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6. The developmental effects of HIV and alcohol: a comparison of gestational outcomes among babies from South African communities with high prevalence of HIV and alcohol use.

Author

Donald, Kirsten A. M., Fernandez, Anne, Claborn, Kasey, Kuo, Caroline, Koen, Nastassja, Zar, Heather, and Stein, Dan J.

Subjects
PREVENTION of alcoholism, ANTIRETROVIRAL agents, ALCOHOLISM, ANTHROPOMETRY, CEPHALOMETRY, MENTAL depression, ALCOHOL drinking, GESTATIONAL age, HIV infections, EVALUATION of medical care, SMOKING, MULTIPLE regression analysis, SOCIOECONOMIC factors, FETAL development, SEVERITY of illness index, DESCRIPTIVE statistics, PREGNANCY, CHILDREN
Abstract

Background: There is growing evidence of the negative impact of alcohol on morbidity and mortality of individuals living with HIV but limited evidence of in utero effects of HIV and alcohol on exposure on infants. Methods: We conducted a population-based birth cohort study (N = 667 mother-infant dyads) in South Africa to investigate whether maternal alcohol use and HIV affected gestational outcomes. Descriptive data analysis was conducted for all variables using frequency distributions, measures of central tendency, and estimates of variance. Hierarchical multiple regression was conducted to determine whether maternal alcohol use, maternal HIV status and other risk factors (socioeconomic status, smoking, depression) predicted infant outcomes. Results: Our results showed severity of recent alcohol use and lifetime alcohol use predicted low birth weight. Similarly lifetime alcohol use predicted shorter infant length, smaller head length, smaller head circumference, and early gestational age. However, HIV status was not a significant predictor of gestational outcomes. Conclusions: The unexpected finding that maternal HIV status did not predict any of the gestational outcomes may be due to high rates of ART usage among HIV-infected mothers. The potentially negative effects of HIV on gestational outcomes may have been attenuated by improved maternal health due to high coverage of antiretroviral treatment in South Africa. Interventions are needed to reduce alcohol consumption among pregnant mothers and to support healthy growth and psychosocial development of infants. [ABSTRACT FROM AUTHOR]

Published
2017
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7. Maternal blood contamination of collected cord blood can be identified using DNA methylation at three CpGs

Author

Morin, Alexander M, Gatev, Evan, McEwen, Lisa M, MacIsaac, Julia L, Lin, David T S, Koen, Nastassja, Czamara, Darina, Räikkönen, Katri, Zar, Heather J, Koenen, Karestan, Stein, Dan J, Kobor, Michael S, and Jones, Meaghan J

Subjects
3. Good health
Abstract

Background: Cord blood is a commonly used tissue in environmental, genetic, and epigenetic population studies due to its ready availability and potential to inform on a sensitive period of human development. However, the introduction of maternal blood during labor or cross-contamination during sample collection may complicate downstream analyses. After discovering maternal contamination of cord blood in a cohort study of 150 neonates using Illumina 450K DNA methylation (DNAm) data, we used a combination of linear regression and random forest machine learning to create a DNAm-based screening method. We identified a panel of DNAm sites that could discriminate between contaminated and non-contaminated samples, then designed pyrosequencing assays to pre-screen DNA prior to being assayed on an array. Results: Maternal contamination of cord blood was initially identified by unusual X chromosome DNA methylation patterns in 17 males. We utilized our DNAm panel to detect contaminated male samples and a proportional amount of female samples in the same cohort. We validated our DNAm screening method on an additional 189 sample cohort using both pyrosequencing and DNAm arrays, as well as 9 publically available cord blood 450K data sets. The rate of contamination varied from 0 to 10% within these studies, likely related to collection specific methods. Conclusions: Maternal blood can contaminate cord blood during sample collection at appreciable levels across multiple studies. We have identified a panel of markers that can be used to identify this contamination, either post hoc after DNAm arrays have been completed, or in advance using a targeted technique like pyrosequencing.

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