ObjectiveTo assess the prevalence of diabetes and its risk factors.DesignPopulation based, cross sectional study.Setting31 provinces in mainland China with nationally representative cross sectional data from 2015 to 2017.Participants75 880 participants aged 18 and older—a nationally representative sample of the mainland Chinese population.Main outcome measuresPrevalence of diabetes among adults living in China, and the prevalence by sex, regions, and ethnic groups, estimated by the 2018 American Diabetes Association (ADA) and the World Health Organization diagnostic criteria. Demographic characteristics, lifestyle, and history of disease were recorded by participants on a questionnaire. Anthropometric and clinical assessments were made of serum concentrations of fasting plasma glucose (one measurement), two hour plasma glucose, and glycated haemoglobin (HbA1c).ResultsThe weighted prevalence of total diabetes (n=9772), self-reported diabetes (n=4464), newly diagnosed diabetes (n=5308), and prediabetes (n=27 230) diagnosed by the ADA criteria were 12.8% (95% confidence interval 12.0% to 13.6%), 6.0% (5.4% to 6.7%), 6.8% (6.1% to 7.4%), and 35.2% (33.5% to 37.0%), respectively, among adults living in China. The weighted prevalence of total diabetes was higher among adults aged 50 and older and among men. The prevalence of total diabetes in 31 provinces ranged from 6.2% in Guizhou to 19.9% in Inner Mongolia. Han ethnicity had the highest prevalence of diabetes (12.8%) and Hui ethnicity had the lowest (6.3%) among five investigated ethnicities. The weighted prevalence of total diabetes (n=8385) using the WHO criteria was 11.2% (95% confidence interval 10.5% to 11.9%).ConclusionThe prevalence of diabetes has increased slightly from 2007 to 2017 among adults living in China. The findings indicate that diabetes is an important public health problem in China.

To investigate the effect of antidiabetic agents on nonalcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM), 75 patients with T2DM and NAFLD under inadequate glycemic control by metformin were randomized (1:1:1) to receive add‐on liraglutide, sitagliptin, or insulin glargine in this 26‐week trial. The primary endpoint was the change in intrahepatic lipid (IHL) from baseline to week 26 as quantified by magnetic resonance imaging–estimated proton density fat fraction (MRI‐PDFF). Secondary endpoints included changes in abdominal adiposity (subcutaneous adipose tissue [SAT] and visceral adipose tissue [VAT]), glycated hemoglobin, and body weight from baseline to week 26. We analysed data from intent‐to‐treat population. MRI‐PDFF, VAT, and weight decreased significantly with liraglutide (15.4% ± 5.6% to 12.5% ± 6.4%, P < 0.001; 171.4 ± 27.8 to 150.5 ± 30.8, P = 0.003; 86.6 ± 12.9 kg to 82.9 ± 11.1 kg, P = 0.005, respectively) and sitagliptin (15.5% ± 5.6% to 11.7% ± 5.0%, P = 0.001; 153.4 ± 31.5 to 139.8 ± 27.3, P = 0.027; 88.2 ± 13.6 kg to 86.5 ± 13.2 kg, P = 0.005, respectively). No significant change in MRI‐PDFF, VAT, or body weight was observed with insulin glargine. SAT decreased significantly in the liraglutide group (239.9 ± 69.0 to 211.3 ± 76.1; P = 0.020) but not in the sitagliptin and insulin glargine groups. Changes from baseline in MRI‐PDFF, VAT, and body weight were significantly greater with liraglutide than insulin glargine but did not differ significantly between liraglutide and sitagliptin. Conclusion: Combined with metformin, both liraglutide and sitagliptin, but not insulin glargine, reduced body weight, IHL, and VAT in addition to improving glycemic control in patients with T2DM and NAFLD.

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Functional pancreatic neuroendocrine tumours (PNETs) are mainly represented by insulinoma, which secrete insulin independent of glucose and cause hypoglycaemia. The major genetic alterations in sporadic insulinomas are still unknown. Here we identify recurrent somatic T372R mutations in YY1 by whole exome sequencing of 10 sporadic insulinomas. Further screening in 103 additional insulinomas reveals this hotspot mutation in 30% (34/113) of all tumours. T372R mutation alters the expression of YY1 target genes in insulinomas. Clinically, the T372R mutation is associated with the later onset of tumours. Genotyping of YY1, a target of mTOR inhibitors, may contribute to medical treatment of insulinomas. Our findings highlight the importance of YY1 in pancreatic b-cells and may provide therapeutic targets for PNETs.

Uncertainty remains regarding the predictive value of various glycemic measures as they relate to the risk of diabetes and its complications. Using the cutoffs recommended by the American Diabetes Association's 2010 criteria, we determined the associations of fasting plasma glucose (FPG), 2-h postload glucose (2h-PG), and HbA 1c with the outcomes. RESEARCH DESIGN AND METHODSBaseline medical history, FPG, 2h-PG, and HbA 1c were obtained from a populationbased cohort of 193,846 adults aged ‡40 years in China during 2011-2012. A follow-up visit was conducted during 2014-2016 in order to assess incident diabetes, cardiovascular disease (CVD), cancer, and mortality. RESULTSWe documented 8,063 cases of diabetes, 3,014 CVD-related events, 1,624 cases of cancer, and 2,409 deaths during up to 5 years of follow-up. Multivariable-adjusted risk ratios (95% CIs) of diabetes associated with prediabetes based on FPG of 100-125 mg/dL, 2h-PG of 140-199 mg/dL, or HbA 1c of 5.7-6.4% (39-47 mmol/mol) were 1.60 (1.43-1.79), 2.72 (2.43-3.04), and 1.49 (1.36-1.62), respectively. Restricted cubic spline analyses suggested J-shaped associations of FPG, 2h-PG, and HbA 1c levels with CVD, cancer, and mortality. Multivariable-adjusted hazard ratios (95% CIs) associated with untreated diabetes based on FPG ‡126 mg/dL, 2h-PG ‡200 mg/dL, or HbA 1c ‡6.