Beijing Children and Adolescents Metabolic Syndrome Study (BCAMS Study)

NCT ID: NCT03421444

Last Updated: 2018-02-05

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 19593 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2004-04-30
• Study Completion Date: 2004-10-31

Brief Summary

Base on enriched resources from the Metabolic Syndrome cohort in children, a long-term prospective cohort study will be carried out. This cohort is a unique biochemical and genetic database of Chinese population with large number of subjects in the world. By collecting information of disease history and lifestyle, measuring clinical and metabolic parameters, especially biomarkers which can reflect the underlying mechanism of insulin resistance and metabolic syndrome, we intend to sort out some unique biochemical and genetic markers for Chinese population.

Detailed Description

A representative sample of 19,593 school children, aged 6-18 years, were chosen from four of the eight urban districts and three of seven rural districts in the Beijing area between April and October, 2004. Among these children and adolescents, 4,500 were recognized as having risk factors defined by the presence of any one of the following: overweight, total cholesterol (TC) ≥ 5.2 mmol/L, triglyceride (TG) ≥ 1.7 mmol/L or fasting glucose (FG) ≥ 5.6 mmol/L based on initial finger capillary blood tests. Moreover, all subjects at increased risk for metabolic syndrome, together with a parallel reference population of 1,095 children, were invited to undergo medical examinations for verification based on venipuncture blood samples. Clinical data, biomarkers including adipokines, and lifestyle factors such as physical activity and diet were measured and documented. Genetic variants previously reported from genome-wide association study (GWAS) of obesity and diabetes and DNA-methylation were also assessed. Further, high-throughput analysis of proteomics and metabolomics of the blood samples were conducted. Cross-sectional and follow-up evaluations will be undertaken. The unique biochemical and genetic markers for Chinese population will be identified in the BCAMS study. The biomarkers will build a solid foundation for progressive study on mechanism of metabolic diseases and lead to early prediction of these diseases.

Conditions

Obesity; Metabolic Disease

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Interventions

No intervention

No intervention

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• Children aged 6 to 18 years old from Beijing area in China

Exclusion Criteria

• Children or their parents refused to participate in the study

• Minimum Eligible Age: 6 Years
• Maximum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Capital Institute of Pediatrics, China

OTHER

Sponsor Role: collaborator

Beijing Chao Yang Hospital

OTHER

Sponsor Role: collaborator

Peking Union Medical College Hospital

OTHER

Sponsor Role: lead

Responsible Party

Ming Li

Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Ming Li, MD

Role: PRINCIPAL_INVESTIGATOR

Peking Union Medical College Hospital

References

Li L, Yin J, Cheng H, Wang Y, Gao S, Li M, Grant SF, Li C, Mi J, Li M. Identification of Genetic and Environmental Factors Predicting Metabolically Healthy Obesity in Children: Data From the BCAMS Study. J Clin Endocrinol Metab. 2016 Apr;101(4):1816-25. doi: 10.1210/jc.2015-3760. Epub 2016 Feb 25.

Reference Type: BACKGROUND

PMID: 26913634 (View on PubMed)

Wang Q, Yin J, Xu L, Cheng H, Zhao X, Xiang H, Lam HS, Mi J, Li M. Prevalence of metabolic syndrome in a cohort of Chinese schoolchildren: comparison of two definitions and assessment of adipokines as components by factor analysis. BMC Public Health. 2013 Mar 21;13:249. doi: 10.1186/1471-2458-13-249.

Reference Type: BACKGROUND

PMID: 23514611 (View on PubMed)

Li L, Fu J, Yu XT, Li G, Xu L, Yin J, Cheng H, Hou D, Zhao X, Gao S, Li W, Li C, Grant SFA, Li M, Xiao Y, Mi J, Li M. Sleep Duration and Cardiometabolic Risk Among Chinese School-aged Children: Do Adipokines Play a Mediating Role? Sleep. 2017 May 1;40(5):zsx042. doi: 10.1093/sleep/zsx042.

Reference Type: BACKGROUND

PMID: 28329079 (View on PubMed)

Feng D, Zhang J, Fu J, Wu H, Wang Y, Li L, Zhao Y, Li M, Gao S. Association between sleep duration and cardiac structure in youths at risk for metabolic syndrome. Sci Rep. 2016 Dec 14;6:39017. doi: 10.1038/srep39017.

Reference Type: BACKGROUND

PMID: 27966597 (View on PubMed)

Li G, Xu L, Zhao Y, Li L, Fu J, Zhang Q, Li N, Xiao X, Li C, Mi J, Gao S, Li M. Leptin-adiponectin imbalance as a marker of metabolic syndrome among Chinese children and adolescents: The BCAMS study. PLoS One. 2017 Oct 11;12(10):e0186222. doi: 10.1371/journal.pone.0186222. eCollection 2017.

Reference Type: BACKGROUND

PMID: 29020116 (View on PubMed)

Fu J, Li G, Li L, Yin J, Cheng H, Han L, Zhang Q, Li N, Xiao X, Grant SFA, Li M, Gao S, Mi J, Li M. The role of established East Asian obesity-related loci on pediatric leptin levels highlights a neuronal influence on body weight regulation in Chinese children and adolescents: the BCAMS study. Oncotarget. 2017 Aug 24;8(55):93593-93607. doi: 10.18632/oncotarget.20547. eCollection 2017 Nov 7.

Reference Type: BACKGROUND

PMID: 29212175 (View on PubMed)

Fu J, Hou C, Li L, Feng D, Li G, Li M, Li C, Gao S, Li M. Vitamin D modifies the associations between circulating betatrophin and cardiometabolic risk factors among youths at risk for metabolic syndrome. Cardiovasc Diabetol. 2016 Oct 6;15(1):142. doi: 10.1186/s12933-016-0461-y.

Reference Type: BACKGROUND

PMID: 27716289 (View on PubMed)

Li G, Yin J, Fu J, Li L, Grant SFA, Li C, Li M, Mi J, Li M, Gao S. FGF21 deficiency is associated with childhood obesity, insulin resistance and hypoadiponectinaemia: The BCAMS Study. Diabetes Metab. 2017 Jun;43(3):253-260. doi: 10.1016/j.diabet.2016.12.003. Epub 2017 Jan 27.

Reference Type: BACKGROUND

PMID: 28139438 (View on PubMed)

Wang D, Feng D, Wang Y, Dong P, Wang Y, Zhong L, Li B, Fu J, Xiao X, Speakman JR, Li M, Gao S. Angiopoietin-Like Protein 8/Leptin Crosstalk Influences Cardiac Mass in Youths With Cardiometabolic Risk: The BCAMS Study. Front Endocrinol (Lausanne). 2022 Jan 25;12:788549. doi: 10.3389/fendo.2021.788549. eCollection 2021.

Reference Type: DERIVED

PMID: 35145478 (View on PubMed)

Wu Y, Zhong L, Li G, Han L, Fu J, Li Y, Li L, Zhang Q, Guo Y, Xiao X, Qi L, Li M, Gao S, Willi SM. Puberty Status Modifies the Effects of Genetic Variants, Lifestyle Factors and Their Interactions on Adiponectin: The BCAMS Study. Front Endocrinol (Lausanne). 2021 Dec 24;12:737459. doi: 10.3389/fendo.2021.737459. eCollection 2021.

Reference Type: DERIVED

PMID: 35002951 (View on PubMed)

Li Y, Feng D, Esangbedo IC, Zhao Y, Han L, Zhu Y, Fu J, Li G, Wang D, Wang Y, Li M, Gao S, Willi SM. Insulin resistance, beta-cell function, adipokine profiles and cardiometabolic risk factors among Chinese youth with isolated impaired fasting glucose versus impaired glucose tolerance: the BCAMS study. BMJ Open Diabetes Res Care. 2020 Feb;8(1):e000724. doi: 10.1136/bmjdrc-2019-000724.

Reference Type: DERIVED

PMID: 32049638 (View on PubMed)

Fu J, Wang Y, Li G, Han L, Li Y, Li L, Feng D, Wu Y, Xiao X, Li M, Grant SFA, Li M, Gao S. Childhood sleep duration modifies the polygenic risk for obesity in youth through leptin pathway: the Beijing Child and Adolescent Metabolic Syndrome cohort study. Int J Obes (Lond). 2019 Aug;43(8):1556-1567. doi: 10.1038/s41366-019-0405-1. Epub 2019 Jul 8.

Reference Type: DERIVED

PMID: 31285522 (View on PubMed)

Wu Y, Yu X, Li Y, Li G, Cheng H, Xiao X, Mi J, Gao S, Willi SM, Li M. Adipose Tissue Mediates Associations of Birth Weight with Glucose Metabolism Disorders in Children. Obesity (Silver Spring). 2019 May;27(5):746-755. doi: 10.1002/oby.22421. Epub 2019 Feb 27.

Reference Type: DERIVED

PMID: 30811103 (View on PubMed)

Li G, Han L, Wang Y, Zhao Y, Li Y, Fu J, Li M, Gao S, Willi SM. Evaluation of ADA HbA1c criteria in the diagnosis of pre-diabetes and diabetes in a population of Chinese adolescents and young adults at high risk for diabetes: a cross-sectional study. BMJ Open. 2018 Aug 8;8(8):e020665. doi: 10.1136/bmjopen-2017-020665.

Reference Type: DERIVED

PMID: 30093511 (View on PubMed)

Other Identifiers

BCAMS

Identifier Type: -

Identifier Source: org_study_id