Machine learning methods to assess risk for prenatal and neonatal iron deficiency anemia from maternal stress exposure

机器学习方法评估孕产妇压力暴露导致产前和新生儿缺铁性贫血的风险

基本信息

批准号：
10688126
负责人：
Brie M Reid
金额：
$ 12.68万
依托单位：
MIRIAM HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10688126
关键词：
Affect Anemia Animals Award Behavioral Bioinformatics Biological Biometry Birth Blood Volume Blood specimen C-reactive protein Child Development Chronic Chronic stress DNA Methylation Data Data Set Development Diagnosis Disease Endowment Exposure to Ferritin Funding Generations Goals Health Hematocrit procedure Hemoglobin Hydrocortisone Hypothalamic structure Infant Infant Health Inflammation Inflammatory Intake Interleukin-6 Intervention Iron Iron deficiency anemia K-Series Research Career Programs Life Low income Machine Learning Maternal Health Maternal and Child Health Measures Mediating Medical Records Mental Health MicroRNAs Minority Women Mothers Neonatal Neurosecretory Systems Oral Outcome Pathway interactions Patient Self-Report Phase Phenotype Pituitary Gland Placenta Play Population Pregnancy Pregnant Women Process Psychological Stress Psychophysiology Psychosocial Stress Race Regulation Research Risk Risk Assessment Risk Factors Role Shapes Signal Transduction Statistical Methods Stress Stressful Event Supplementation Techniques Testing Third Pregnancy Trimester Time Training Umbilical Cord Blood Vitamins Woman Work absorption adverse pregnancy outcome biological adaptation to stress cohort cytokine early life stress ethnic minority experience fetal fetal programming hepcidin high risk infancy inflammatory marker insight iron absorption iron supplement mRNA Expression machine learning method maternal risk maternal stress mean corpuscular volume observed modifiable risk multidimensional data neonate neurodevelopment nutrient metabolism offspring physical conditioning pre-clinical pregnant prenatal prenatal stress prospective racial minority recruit skills socioeconomics supervised learning systemic inflammatory response translational research program

项目摘要

PROJECT SUMMARY This K99 application aims to determine biological and behavioral pathways by which maternal psychosocial stress in pregnancy impacts risk for maternal and infant iron deficiency anemia (IDA). IDA is one of the most common causes of anemia worldwide, and around 20% of women in the US experience a stressful life event throughout their pregnancy. Due to the increased iron demands of pregnancy, pregnancy itself poses a significant risk of IDA, especially for low-income and racially- and ethnically-minoritized women. IDA increases the risk of adverse pregnancy outcomes and can negatively impact the iron status of the neonate that may cause irreversible harm to neurodevelopment. There is growing concern that oral vitamin supplementation might not be enough to counteract the risks of IDA in the context of systemic inflammation, including inflammation produced by chronic psychosocial stress and subsequent neuroendocrine dysregulation. Maternal psychosocial stress has been associated with infant iron status previously, but the potential biological mechanisms are not yet characterized despite the

项目概要该 K99 应用程序旨在确定母亲社会心理的生物学和行为途径怀孕期间的压力会影响孕产妇和婴儿缺铁性贫血 (IDA) 的风险。 IDA 是最全世界贫血的常见原因，大约 20% 的美国女性经历过生活压力事件整个怀孕期间。由于怀孕期间铁的需求量增加，怀孕本身就造成了 IDA 的重大风险，特别是对于低收入和种族和民族少数的妇女而言。国际开发协会增加不良妊娠结局的风险，并可能对新生儿的铁状况产生负面影响，这可能对神经发育造成不可逆转的伤害。人们越来越担心口服维生素补充剂可能不足以抵消全身炎症背景下 IDA 的风险，包括慢性心理社会压力和随后的神经内分泌失调产生的炎症。以前，母亲的心理社会压力与婴儿的铁状况有关，但潜在的生物学因素尽管机制尚未得到表征