JiGenerations Health Cohort Study：Parental Exposure and Intergenerational Health in China

Adverse Pregnancy Outcomes, Birth Defects, Child Development, Environmental Exposure, Fertility, Growth Retardation, Health Problems in Pregnancy, Metabolic Abnormality, Non-alcoholic Fatty Liver Disease, Overweight and Obesity

birth cohort study, environmental exposures, birth defects, pregnant outcomes, children development, Child psychological development

The growing recognition of maternal health's impact on offspring necessitates large-scale prospective cohort studies spanning the maternal-child life cycle. This study establishes a family-centered birth cohort of 100,000 Chinese participants, tracking from preconception through offspring adolescence to investigate early-life health trajectories and intergenerational transmission of diseases, health status, and psychological-behavioral patterns. Data collection includes biospecimens (placenta, cord blood, breast milk, blood, urine, feces) and multi-omics analysis (genomic, proteomic, metabolomic, microbiomic), alongside clinical information from preconception, pregnancy, birth through childhood (0-14 years). The cohort covers 24 stratified sites across China, incorporating real-time environmental monitoring (air pollution, meteorological data) and sociogeographic factors. Targeting reproductive-age couples (18-45 years) and their offspring, the study addresses multigenerational health linkages, urban-rural disparities, and regional diversity from 2025 to 2039. By integrating genetic, environmental and lifestyle data, this research will identify critical intervention windows and mechanisms for chronic disease transmission across generations, supporting China's "Healthy China" initiative and developing targeted strategies for population health and aging.

The impact of maternal conditions on offspring health and disease has garnered increasing attention, underscoring the necessity of large-scale, prospective, multicenter cohort studies spanning the entire maternal-child life cycle to elucidate this relationship. This study aims to establish a family-centered birth cohort of 100,000 individuals, beginning at the preconception stage and tracking offspring through adolescence, to investigate early-life health trajectories. By doing so, we seek to enhance understanding of the intergenerational transmission of disease, health status, longevity, and psychological-behavioral patterns in the Chinese population. Furthermore, this research will identify critical intervention windows and underlying mechanisms, enabling the development of targeted health interventions. Ultimately, these efforts will contribute to improved population health and the advancement of healthy aging strategies rooted in early-life interventions. Data and Biospecimen Collection Information and biological samples will be collected from couples before conception, during pregnancy, at birth, and throughout childhood (0-14 years), establishing a family-centered cohort spanning preconception, pregnancy, birth, and childhood. Key health outcomes include metabolic disorders, cardiovascular diseases, neurodevelopmental abnormalities, immune-related conditions, and mental health issues. Multi-Omics Biobank A comprehensive database will be built using biospecimens such as placenta, umbilical cord blood, umbilical tissue, breast milk, oral epithelial cells, blood, urine, and feces, integrating genomic, proteomic, metabolomic, and microbiomic data. Study Population and Timeline The target population consists of Chinese couples of reproductive age (18-49 years) and their offspring, with a focus on multigenerational health linkages, urban-rural disparities, and regional representation. The study will launch in 2025, with long-term follow-up until 2039, conducted in phases from preconception to offspring adolescence. Geographical and Environmental Coverage A stratified sampling approach will cover 24 research sites across Northwest, Southwest, Central, North, East, South, and Northeast China, ensuring diversity in climate, socioeconomic status, and pollution levels. Real-time air pollution monitoring (e.g., PM2.5, SO₂), meteorological data (temperature, humidity), and sociogeographic factors (green space, urbanization) will be included. Significance: By integrating genetic, environmental, and lifestyle data, this study will uncover how early-life exposures influence chronic disease transmission across generations, providing targeted intervention strategies to support China's "Healthy China" initiative and address aging-related challenges.

No related papers found yet.

China