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

项目摘要该K99应用旨在确定孕产妇心理社会的生物学和行为途径怀孕的压力会影响孕产妇和婴儿缺乏贫血贫血（IDA）的风险。艾达是最多的全球贫血的常见原因，美国约有20％的女性经历了压力很大的生活事件整个怀孕。由于怀孕的铁需求增加，怀孕本身构成了 IDA的重大风险，特别是对于低收入和种族和种族最少的妇女。艾达增加不良怀孕结果的风险，可能会对新生儿的铁状态产生负面影响对神经发育造成不可逆转的伤害。越来越担心口服维生素补充剂在系统性炎症的背景下，可能不足以抵消IDA的风险，包括由慢性社会心理压力和随后的神经内分泌失调产生的炎症。孕产妇的社会心理压力以前与婴儿铁的状态有关，但潜在的生物学尽管机制尚未表征