To analyze the environmental risk factors for type 1 diabetes in China.
Type 1 diabetes (T1D) is a hyperglycemic disease caused by absolute insulin deficiency. It has an acute and early onset, and patients require lifelong insulin therapy. Global T1D incidence is rising yearly. China has the fourth-largest number of T1D patients and the second-fastest increase in incidence, with a marked rise in adults. T1D results from genetic and environmental factors that cause immune destruction of pancreatic β cells. Genetic risk is relatively clear: HLA DR4-DQ8 and DR3-DQ2 carry the highest risk, and over 70 related loci have been identified. However, environmental factors remain insufficiently characterized. Studies of migrants, socioeconomic differences, and mobile populations suggest that environment and lifestyle have significant effects. Since China's genetic background has not changed substantially while incidence continues to rise, environment-induced immune dysregulation combined with genetic susceptibility may be key. International cohorts such as TEDDY and DAISY confirm that diet, viral infections, and gut microbiota can trigger islet autoimmunity. Among specific factors, high maternal early-pregnancy BMI, rapid childhood growth, and obesity increase risk; vitamin D is protective, and China's north-high/south-low incidence gradient may relate to sunlight and vitamin D. Gluten may trigger islet autoimmune inflammation via gut microbiota and immune activation. Viral infection, pollution, chemical exposure, and socioeconomic status may also contribute. Most evidence comes from European and American populations, while Chinese studies are limited. Therefore, systematically identifying China-specific environmental risk factors has important scientific and public-health value. In summary, genetics determines susceptibility, while modifiable environmental factors are critical in triggering and progression and are key to early prevention and precision management of T1D.
Study Type
OBSERVATIONAL
Enrollment
11,240
the Second Xiangya Hospital, central south of university
Changsha, Hunan, China
RECRUITINGChange From Baseline in Fasting C-peptide Concentration at 1 Year
Fasting C-peptide concentration will be measured at baseline and at 1 year after enrollment. The change from baseline will be calculated as the C-peptide concentration at 1 year minus the baseline concentration and reported in pmol/L.
Time frame: Baseline to 1 year after enrollment
Change From Baseline in 2-Hour Postprandial C-peptide Concentration at 1 Year
Two-hour postprandial C-peptide concentration will be measured at baseline and at 1 year after enrollment. The change from baseline will be calculated as the 2-hour postprandial C-peptide concentration at 1 year minus the baseline concentration and reported in pmol/L.
Time frame: Baseline to 1 year after enrollment
Serum Islet Autoantibodies seroconversion.
Serum islet autoantibodies, including glutamic acid decarboxylase autoantibody (GADA), insulinoma-associated protein 2 autoantibody (IA-2A), zinc transporter 8 autoantibody (ZnT8A), and insulin autoantibody (IAA), will be measured at baseline and 1 year after enrollment.
Time frame: Baseline to 1 year after enrollment
Change From Baseline in Number of Positive Serum Islet Autoantibodies at 1 Year
Serum islet autoantibodies, including glutamic acid decarboxylase autoantibody (GADA), insulinoma-associated protein 2 autoantibody (IA-2A), zinc transporter 8 autoantibody (ZnT8A), and insulin autoantibody (IAA), will be measured at baseline and 1 year after enrollment. The number of positive islet autoantibodies will be recorded at each time point, and the change from baseline will be calculated as the number at 1 year minus the number at baseline.
Time frame: Baseline to 1 year after enrollment
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.