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Ling CW, Zhong H, Zeng FF, Chen G, Fu Y, Wang C, Zhang ZQ, Cao WT, Sun TY, Ding D, Liu YH, Dong HL, Jing LP, Ling W, Zheng JS, Chen YM. Cohort Profile: Guangzhou Nutrition and Health Study (GNHS): A Population-based Multi-omics Study. J Epidemiol 2024; 34:301-306. [PMID: 37813622 PMCID: PMC11078596 DOI: 10.2188/jea.je20230108] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/27/2023] [Indexed: 10/11/2023] Open
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 = 5,118) was followed up about every 3 years. All are 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-day 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 5,118 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, 3,628 (71%) completed at least one on-site follow-up, with a median duration of 9.48 years. CONCLUSION The cohort will provide data that will be influential in establishing the role of nutrition in metabolic diseases with multi-omics.
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Affiliation(s)
- Chu-Wen Ling
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Haili Zhong
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Fang-fang Zeng
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Gengdong Chen
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, China
| | - Yuanqing Fu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Cheng Wang
- Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Zhe-Qing Zhang
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Wen-Ting Cao
- International School of Public Health and One Health, Hainan Medical University, Haikou, China
| | - Ting-Yu Sun
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Ding Ding
- Global Health Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yan-Hua Liu
- Department of Nutrition, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Hong-Li Dong
- Scientific Education Section and Department of Child Healthcare, Affiliated Maternity & Child Health Care Hospital of Nantong University, Nantong, China
| | - Li-Peng Jing
- Department of Epidemiology, School of Public Health, Lanzhou University, Lanzhou, China
| | - Wenhua Ling
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ju-Sheng Zheng
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Yu-Ming Chen
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
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Richardson CE, Krishnan S, Gray IJ, Keim NL, Newman JW. The Omega-3 Index Response to an 8 Week Randomized Intervention Containing Three Fatty Fish Meals Per Week Is Influenced by Adiposity in Overweight to Obese Women. Front Nutr 2022; 9:810003. [PMID: 35187036 PMCID: PMC8855121 DOI: 10.3389/fnut.2022.810003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 01/12/2022] [Indexed: 01/13/2023] Open
Abstract
BackgroundThe Dietary Guidelines for Americans (DGA) recommends consuming ~225 g/wk of a variety of seafood providing >1.75 g/wk of long-chain omega-3 fatty acids to reduce cardiovascular disease risk, however individual responses to treatment vary.ObjectiveThis study had three main objectives. First, to determine if a DGA-conforming diet (DGAD), in comparison to a typical American diet (TAD), can increase the omega-3 index (OM3I), i.e., the red blood cell mol% of eicosapentaenoic acid (EPA) + docosahexaenoic acid (DHA). Second, to identify factors explaining variability in the OM3I response to dietary treatment. Third to identify factors associated with the baseline OM3I.DesignThis is a secondary analysis of a randomized, double-blind 8 wk dietary intervention of overweight/obese women fed an 8d rotating TAD (n = 20) or DGAD (n = 22) registered at www.clinicaltrials.gov as NCT02298725. The DGAD-group consumed 240 g/wk of Atlantic farmed salmon and albacore tuna in three meals with an estimated EPA + DHA of 3.7 ± 0.6 g/wk. The TAD-group consumed ~160 g/wk of farmed white shrimp and a seafood salad containing imitation crab in three meal with an estimated EPA + DHA of 0.45 ± 0.05 g/wk. Habitual diet was determined at baseline, and body composition was determined at 0 and 8wks. Red blood cell fatty acids were measured at 0, 2 and 8 wk.ResultsAt 8 wk, the TAD-group OM3I was unchanged (5.90 ± 1.35–5.80 ± 0.76%), while the DGAD-group OM3I increased (5.63 ± 1.27–7.33 ± 1.36%; p < 0.001). In the DGAD-group 9 of 22 participants achieved an OM3I >8%. Together, body composition and the baseline OM3I explained 83% of the response to treatment variability. Baseline OM3I (5.8 ± 1.3%; n = 42) was negatively correlated to the android fat mass (p = 0.0007) and positively correlated to the FFQ estimated habitual (EPA+DHA) when expressed as a ratio to total dietary fat (p = 0.006).ConclusionsAn 8 wk TAD did not change the OM3I of ~6%, while a DGAD with 240 g/wk of salmon and albacore tuna increased the OM3I. Body fat distribution and basal omega-3 status are primary factors influencing the OM3I response to dietary intake in overweight/obese women.
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Affiliation(s)
| | - Sridevi Krishnan
- Department of Nutrition, University of California, Davis, Davis, CA, United States
| | - Ira J. Gray
- West Coast Metabolomics Center, Genome Center, University of California, Davis, Davis, CA, United States
- United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Western Human Nutrition Research Center, Davis, CA, United States
| | - Nancy L. Keim
- Department of Nutrition, University of California, Davis, Davis, CA, United States
- United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Western Human Nutrition Research Center, Davis, CA, United States
| | - John W. Newman
- Department of Nutrition, University of California, Davis, Davis, CA, United States
- West Coast Metabolomics Center, Genome Center, University of California, Davis, Davis, CA, United States
- United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Western Human Nutrition Research Center, Davis, CA, United States
- *Correspondence: John W. Newman
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