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Cohort Profile: Guangzhou Nutrition and Health Study (GNHS): A Population-Based Multi-Omics Study.
Ling, Chu-Wen; Zhong, Haili; Zeng, Fang-Fang; Chen, Gengdong; Fu, Yuanqing; Wang, Cheng; Zhang, Zhe-Qing; Cao, Wen-Ting; Sun, Ting-Yu; Ding, Ding; Liu, Yan-Hua; Dong, Hong-Li; Jing, Li-Peng; Ling, Wenhua; Zheng, Ju-Sheng; Chen, Yu-Ming.
Affiliation
  • Ling CW; Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University.
  • Zhong H; Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University.
  • Zeng FF; Department of Epidemiology, School of Medicine, Jinan University.
  • Chen G; Department of Obstetrics, Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan.
  • Fu Y; Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University.
  • Wang C; Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital.
  • Zhang ZQ; Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University.
  • Cao WT; International School of Public Health and One Health, Hainan Medical University.
  • Sun TY; Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University.
  • Ding D; Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences.
  • Liu YH; Department of Nutrition, the First Affiliated Hospital of Zhengzhou University.
  • Dong HL; Scientific Education Section and Department of Child Healthcare, Affiliated Maternity & Child Health Care Hospital of Nantong University.
  • Jing LP; Department of Epidemiology, School of Public Health, Lanzhou University.
  • Ling W; Department of Nutrition, School of Public Health, Sun Yat-sen University.
  • Zheng JS; Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University.
  • Chen YM; Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University.
J Epidemiol ; 2023 Oct 07.
Article in En | MEDLINE | ID: mdl-37813622
ABSTRACT

BACKGROUND:

The Guangzhou Nutrition and Health Study (GNHS) aims to assess the determinants of metabolic disease in nutritional aspects, as well as other environmental and genetic factors, and explore possible biomarkers and mechanisms with multi-omics integration.

METHODS:

The population-based sample of adults in Guangzhou, China (baseline 40-83 years old; n = 5118) was followed up about every 3 years. All will be tracked via on-site follow-up and health information systems. We assessed detailed information on lifestyle factors, physical activities, dietary assessments, psychological health, cognitive function, body measurements, and muscle function. Instrument tests included dual-energy X-ray absorptiometry scanning, carotid artery and liver ultrasonography evaluations, vascular endothelial function evaluation, upper-abdomen and brain magnetic resonance imaging, and 14-d real-time continuous glucose monitoring tests. We also measured multi-omics, including host genome-wide genotyping, serum metabolome and proteome, gut microbiome (16S rRNA sequencing, metagenome, and internal transcribed spacer 2 sequencing), and fecal metabolome and proteome.

RESULTS:

The baseline surveys were conducted from 2008 to 2015. Now, we have completed 3 waves. The 3rd and 4th follow-ups have started but have yet to end. A total of 5118 participants aged 40-83 took part in the study. The median age at baseline was approximately 59.0 years and the proportion of female participants was about 69.4%. Among all the participants, 3628 (71%) completed at least one on-site follow-up with a median duration of 9.48 years.

CONCLUSION:

The cohort will provide data that have been influential in establishing the role of nutrition in metabolic diseases with multi-omics.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies Language: En Journal: J Epidemiol Journal subject: EPIDEMIOLOGIA Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies Language: En Journal: J Epidemiol Journal subject: EPIDEMIOLOGIA Year: 2023 Document type: Article
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