Evidence map›Paper›PMID 41466265›Full record

ArticleNutrition journal2025

China precision nutrition biobank: protocol of a prospective cohort study on diet, human phenotype/genotype, and early-onset chronic diseases.

Jingjing He, Miao Xie, Jia Liu, Yu Dong, Huiyu Chen, Ran Wang, Weili Xu, Keji Li, Zhihong Fan, J Alfredo Martinez and 4 more

Abstract read
In one paragraph

Article in Nutrition journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Jingjing He *Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, No.10 Tianxiu Road, Haidian District, Beijing, 100193, China.
Miao Xie *College of Information and Electrical Engineering, China Agricultural University, Beijing, China.
Jia Liu *Beijing key laboratory of the Innovative Development of Functional Staple, Nutritional Intervention for Chronic Disease, China National Research Institute of Food and Fermentation Industries, Beijing, China.
Yu DongComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.
Huiyu ChenKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, No.10 Tianxiu Road, Haidian District, Beijing, 100193, China.
Ran WangKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, No.10 Tianxiu Road, Haidian District, Beijing, 100193, China.
Weili XuDepartment of Neurobiology, Care Sciences & Society, Karolinska Institutet, Solna, Sweden.
Keji LiDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Zhihong FanKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, No.10 Tianxiu Road, Haidian District, Beijing, 100193, China.
J Alfredo MartinezCentro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Madrid, Spain.
Anne RabenDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Fazheng RenKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, No.10 Tianxiu Road, Haidian District, Beijing, 100193, China.
Jie GuoKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, No.10 Tianxiu Road, Haidian District, Beijing, 100193, China. guojie90111@163.com.ORCID http://orcid.org/0000-0001-6104-9957
Ruixin ZhuKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, No.10 Tianxiu Road, Haidian District, Beijing, 100193, China. zhuruixin07@126.com.ORCID http://orcid.org/0000-0003-2170-4667

Funding

China Postdoctoral Science Foundation 2023T00376National Key Research and Development Program 2024YFF1105605National Natural Science Foundation of China 82404349
6 · The paper itself

Abstract

backgroundThe global burden of early-onset chronic diseases, especially early-onset type 2 diabetes, is increasing, particularly in China. Diet is a key factor and emerging evidence highlights substantial inter-individual variability in metabolic responses to diets, highlighting the need for precision nutrition.

methodsThe China Precision Nutrition Biobank (CPNB) is a prospective, longitudinal, cohort study designed to investigate diet-phenotype/genotype interactions and develop precision dietary strategies for early prevention and intervention of chronic diseases, with a particular focus on early-onset diseases. CPNB consists of three phases: the alpha (pilot cohort), beta (transition cohort), and gamma (main cohort) phases. Approximately 200, 1450, and 20,000 adults aged 18-40 years from urban and rural areas in China including Beijing, one city each in Heilongjiang, Shandong, Zhejiang, Guangxi, and Hainan provinces, and one or more villages each in Henan, Gansu, Sichuan, Zhejiang, and Hunan provinces will be recruited during the alpha, beta, and gamma phases, respectively, between 2025 and 2035. Sociodemographic information, medical records, read-time weighed food records and corresponding continuous glucose monitor (CGM) readings, objective physical activity, food challenges, genes, gut and oral microbiota, metabolites from blood, stool, urine, saliva, and hair, and questionnaires will be collected at baseline survey. The follow-up survey will be conducted every five years to repeat these assessments until participants' death (the follow-up period may extend up to 80 years). Outcomes of interest are common early- and late-onset chronic diseases and their preclinical stages. DISCUSSION: The CPNB data can be used to develop prediction models for personalized metabolic responses and risks of early-onset chronic diseases among Chinese people. It will also provide new evidence on interactions of diet with human phenotypes/genotypes during preclinical stage, onset, and progression of early-onset diseases. CPNB aims to inform the development of precision nutrition strategies aligned with the principles of predictive, personalized, preventive, and participatory medicine in the Chinese population.

trial registrationCPNB was registered at Chinese Clinical Trial Registry ( http://www.chictr.org.cn/ ) on June 3rd, 2025, under the registration number ChiCTR2500103621.

Indexed as

Biological Specimen BanksDietPrecision MedicineAdolescentAdultChinaChronic DiseaseFemaleGenotypeHumansLongitudinal StudiesMalePhenotypeProspective StudiesYoung AdultDietEpidemiologyGenotypeMulti-omicsObservational studyPhenotypePrecision nutrition

Identifiers

PMID41466265
PMCPMC12751878

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.