Objective:To determine the seroprevalence of celiac disease in susceptible population, and to analyze the relationship between demographic characteristics, dietary habits, lifestyle and serological positivity so as to provide guidance for the prevention and treatment of celiac disease in Southern China.Methods:A total of 1 273 individuals who participated in Guangdong Province Health Screening Program in 2015, were selected as serologically positive subjects of celiac disease, including people with irritable bowel syndrome, colitis, diarrhea, anemia, low BMI, short stature, type 1 diabetes mellitus (T1DM), rheumatoid arthritis (RA), ankylosing spondylitis, psoriasis and bristol grade=6 or 7. All subjects were tested for serum IgA anti-tissue transglutaminase antibodies (TTGA), IgA antibodies against deamidated gliadin peptides(DGPA) and IgG against deamidated gliadin peptides (DGPG). Dietary habits, lifestyle and demographic characteristics were compared in subgroups.Results:The seroprevalence of celiac disease in susceptible population was 0.94% (95% CI 0.54%-1.64%) including 0.08% (1/1 273) for TTGA, 0.47% (6/1 273) for DGPA, and 0.39% (5/1 273) for DGPG. The seropositive rate was 3.6% (1/28) in patients with psoriasis, 2.1% (2/95) in the low BMI group, 1.9% (1/53) in T1DM group, 1.8% (3/169) in diarrhea group and 1.1% (5/463) in RA group. No significant difference was found in age, gender, high carbohydrate diet or lifestyle between the negative and the positive subjects. Conclusions:In Southern China, the seropositive rate of celiac disease is 0.94% in susceptible population, which prompts an urgent need of serological screening for early diagnosis.

Purpose: The causal relationship between the incidence and prognosis of chronic kidney disease (CKD) and serum testosterone levels in patients is not yet fully understood. This study aims to use the National Health and Nutrition Examination Survey (NHANES), a large-scale nationally representative sample, to investigate the relationship between CKD and testosterone. Materials and Methods: This study included six NHANES cycles for linear regression analysis, verified by multiple imputation methods. Stratified analysis and subgroup analysis were used to demonstrate the stability of CKD’s effect on testosterone. Furthermore, we used Kaplan-Meier plots and log-rank tests to evaluate differences in survival rates between CKD male patients with low and normal levels of testosterone. Results: From a total of 71,163 subjects, the cohort selected 28,663 eligible participants. Results showed that CKD patients had testosterone levels 28.423 ng/mL (24.762, 32.083) lower than non-CKD patients. The results of multiple imputations (β=27.700, 95% confidence interval: 23.427, 31.974) were consistent with those of linear regression analysis, and the numerical match was good. Stratified regression analysis, and subgroup analysis results showed that CKD had a significant impact on testosterone at different dimensions. Kaplan-Meier plots showed significantly reduced survival rates in low testosterone CKD male patients (p<0.0001). Conclusions The results of this big data analysis suggest that there may be a two-way risk between low levels of testosterone and CKD. The testosterone levels of CKD patients were significantly lower than those of the non-CKD population, and CKD patients with low testosterone levels had poorer prognoses. These results suggest that correcting testosterone levels in a timely manner can have preventive and therapeutic effects on the progression of CKD.