Dissecting the causal impact of prenatal HIV exposure and the postnatal environment on development in Malawian Infants

剖析产前艾滋病毒暴露和产后环境对马拉维婴儿发育的因果影响

基本信息

批准号：
10762850
负责人：
Andrea G. Buchwald
金额：
$ 15.57万
依托单位：
UNIVERSITY OF MARYLAND BALTIMORE
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-07-01 至 2028-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10762850
关键词：
5 year old Accounting Address Africa South of the Sahara Age Area Bioinformatics Biological Biostatistical Methods Birth Blood specimen Child Child Development Child Health Childhood Clinic Cohort Studies Communicable Diseases Complex Data Data Set Data Sources Development Development Plans Dimensions Enrollment Environment Environmental Risk Factor Epidemiologist Equation Etiology Evaluation Exposure to Faculty Flow Cytometry Frequencies Goals Growth HIV HIV Infections HIV-exposed uninfected infant Health Home environment Immune Immunity Immunologic Markers Immunologics Immunology Impairment Infant Infant Development Infant Health Infection Infectious Disease Epidemiology Infectious Diseases Research Inflammation Inflammatory Interdisciplinary Study Intervention Language Development Leadership Life Machine Learning Malawi Maryland Maternal and Child Health Measures Mental Health Mentors Methodological Studies Methodology Methods Modeling Mother-Child Relations Mothers Motor Nature Neonatal Neurocognitive Neurocognitive Deficit Outcome Pregnancy Principal Investigator Productivity Public Health Research Research Methodology Research Personnel Risk Second Pregnancy Trimester Severity of illness Social Behavior Socioeconomic Status T-Lymphocyte Techniques Testing Training Umbilical Cord Blood Universities arm career career development causal model cohort complex data data integration design disease transmission diverse data early childhood effective intervention efficacious intervention examination questions executive function follow-up global health immunological status improved innovation interdisciplinary approach large datasets maternal wellbeing medical schools multidisciplinary neonatal immunity neurodevelopment novel postnatal prenatal prenatal exposure psychosocial skills therapy design transmission process

5 year old Accounting Address Africa South of the Sahara Age Area Bioinformatics Biological Biostatistical Methods Birth Blood specimen Child Child Development Child Health Childhood Clinic Cohort Studies Communicable Diseases Complex Data Data Set Data Sources Development Development Plans Dimensions Enrollment Environment Environmental Risk Factor Epidemiologist Equation Etiology Evaluation Exposure to Faculty Flow Cytometry Frequencies Goals Growth HIV HIV Infections HIV-exposed uninfected infant Health Home environment Immune Immunity Immunologic Markers Immunologics Immunology Impairment Infant Infant Development Infant Health Infection Infectious Disease Epidemiology Infectious Diseases Research Inflammation Inflammatory Interdisciplinary Study Intervention Language Development Leadership Life Machine Learning Malawi Maryland Maternal and Child Health Measures Mental Health Mentors Methodological Studies Methodology Methods Modeling Mother-Child Relations Mothers Motor Nature Neonatal Neurocognitive Neurocognitive Deficit Outcome Pregnancy Principal Investigator Productivity Public Health Research Research Methodology Research Personnel Risk Second Pregnancy Trimester Severity of illness Social Behavior Socioeconomic Status T-Lymphocyte Techniques Testing Training Umbilical Cord Blood Universities arm career career development causal model cohort complex data data integration design disease transmission diverse data early childhood effective intervention efficacious intervention examination questions executive function follow-up global health immunological status improved innovation interdisciplinary approach large datasets maternal wellbeing medical schools multidisciplinary neonatal immunity neurodevelopment novel postnatal prenatal prenatal exposure psychosocial skills therapy design transmission process

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项目摘要

PROJECT SUMMARY/ABSTRACT Infant health and neurodevelopment in early life may be impaired by a wide range of prenatal and postnatal factors including maternal infection and inflammation, and the socio-behavioral postnatal environment. Identifying the independent impact of these exposures is critical for defining key interventions to improve infant health and development. This proposal addresses a long-standing challenge in examining multifactorial outcomes such as neurocognitive development that require incorporating both biological and psychosocial exposures. The Principal Investigator, Dr. Andrea Buchwald, is an infectious disease epidemiologist at University of Maryland School of Medicine with expertise in biostatistical methods and global health. She will use multidisciplinary methodology to address this challenge, examining the independent contributions of prenatal and postnatal exposures on child health and development in a cohort including HIV exposed and uninfected infants. Using data from an on-going cohort study in Malawi, Dr. Buchwald will be uniquely able to develop an innovative statistical approach to examine the contribution of both biological and socio-behavioral factors on infant health and development. Mothers with and without HIV infection were enrolled in their second trimester of pregnancy and infants are being followed up through five years of age for health and development outcomes. Dr. Buchwald will use a multidisciplinary approach, combining machine learning and structural equation modeling, to address the following aims: Aim 1: Estimate the independent contributions of in utero exposure to HIV and postnatal environmental factors on infant health and neurocognitive development. Aim 2: Identify immunological profiles at birth predictive of infant health and neurocognitive development. The results of this research will help us to identify key intervention targets for improving child health and development, to inform intervention design and implementation. Dr. Buchwald’s goal is to become an independent investigator in in pediatric infectious disease, with expertise in utilizing cross-disciplinary methodology to address the multifactorial nature of infectious disease. Towards this goal, she proposes a comprehensive career development plan that will enhance her existing skills in infectious disease epidemiology while providing mentored training in 1) data integration of large datasets, 2) socio-behavioral methodology, 3) analyzing large biological datasets, and 4) leadership skills. Dr. Buchwald has assembled a highly accomplished multidisciplinary team of mentors with unique areas of expertise including global health research, maternal/child health, neonatal immunology, bioinformatics, structural equation modeling, and neurodevelopment. Her mentors have a track record of successfully mentoring trainees and junior faculty and the University of Maryland School of Medicine will provide the ideal environment for Dr. Buchwald to establish a productive independent research career.

项目摘要/摘要早期的婴儿健康和神经发育可能会受到多种产前和产后的损害包括母子感染和感染以及社会行为后环境在内的因素。确定这些暴露的独立影响对于确定改善婴儿的关键干预措施至关重要健康与发展。该建议在研究多因素方面面临着长期的挑战诸如神经认知发展之类的结果，需要纳入生物学和社会心理暴露。首席研究员，安德里亚·布赫瓦尔德（Andrea Buchwald）博士是一名传染病流行病学家马里兰大学医学院具有生物统计学方法和全球健康方面的专业知识。她会的使用多学科方法来应对这一挑战，研究在包括艾滋病毒和未感染的婴儿。使用来自马拉维正在进行的队列研究的数据，布赫瓦尔德博士将具有独特的能力开发一种创新的统计方法来研究生物学和社会行为的贡献婴儿健康和发育的因素。患有和没有艾滋病毒感染的母亲在第二次招募怀孕和婴儿的妊娠和婴儿的健康与发展持续了结果。布赫瓦尔德博士将使用一种多学科方法，将机器学习和结构结合在一起方程建模，以解决以下目的：目标1：估计子宫内对艾滋病毒和产后环境因素的独立贡献关于婴儿健康和神经认知发展。目标2：确定婴儿健康和神经认知发展的出生时的免疫学特征。这项研究的结果将帮助我们确定改善儿童健康和开发，为干预设计和实施提供信息。布赫瓦尔德博士的目标是成为小儿传染病的独立研究者利用跨学科方法的专业知识来解决传染病的多因素性质。为了实现这一目标，她提出了一项全面的职业发展计划，可以增强她的现有传染病流行病学的技能，同时提供修补培训1）大型数据整合数据集，2）社会行为方法论，3）分析大型生物学数据集和4）领导技能。布赫瓦尔德博士组建了一支高度成就的跨学科导师团队专业知识领域，包括全球卫生研究，孕产妇/儿童健康，新生儿免疫学，生物信息学，结构方程建模和神经发育。她的导师有一个记录成功指导学员和初级教师和马里兰大学医学院将为布赫瓦尔德博士提供了理想的环境，以建立富有成效的独立研究职业。