Summary The prevalence of diabetes in China has increased rapidly from 0.67% in 1980 to 10.4% in 2013, with the aging of the population and westernization of lifestyle. Since its foundation in 1991, the Chinese Diabetes Society (CDS) has been dedicated to improving academic exchange and the academic level of diabetes research in China. From 2003 to 2014, four versions of Chinese diabetes care guidelines have been published. The guidelines have played an important role in standardizing clinical practice and improving the status quo of diabetes prevention and control in China. Since September 2016, the CDS has invited experts in cardiovascular diseases, psychiatric diseases, nutrition, and traditional Chinese medicine to work with endocrinologists from the CDS to review the new clinical research evidence related to diabetes over the previous 4 years. Over a year of careful revision, this has resulted in the present, new version of guidelines for prevention and care of type 2 diabetes in China. The main contents include epidemiology of type 2 diabetes in China; diagnosis and classification of diabetes; primary, secondary, and tertiary diabetes prevention; diabetes education and management support; blood glucose monitoring; integrated control targets for type 2 diabetes and treatments for hyperglycaemia; medical nutrition therapy; exercise therapy for type 2 diabetes; smoking cessation; pharmacologic therapy for hyperglycaemia; metabolic surgery for type 2 diabetes; prevention and treatment of cardiovascular and cerebrovascular diseases in patients with type 2 diabetes; hypoglycaemia; chronic diabetic complications; special types of diabetes; metabolic syndrome; and diabetes and traditional Chinese medicine.
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.
Substantial evidence indicated that low birth weight was an independent risk factor for obesity, impaired glucose regulation, and diabetes later in life. However, investigations into the association between low birth weight and placental microbiome in full-term neonates are limited. Placentas were collected from low birth weight (LBW) and normal birth weight (NBW) full-term neonates (gestational age 37 w0d–41 w6d) consecutively born at Peking Union Medical College Hospital. The anthropometric measurements were measured and 16S ribosomal DNAamplicon high-throughput sequencing were utilized to define bacteria within placenta tissues. It showed that birth weight, ponderal index, head circumference, and placenta weight were significantly lower in LBW than NBW neonates (p < 0.05). The operational taxonomic units (OTUs) (p < 0.05) and the estimators of community richness (Chao) indexes (p < 0.05) showed a significantly lower diversity in LBW than NBW neonates. There were significant variations in the composition of placenta microbiota between the LBW and NBW neonates at the phylum and genus level. Furthermore, it indicated that Lactobacillus percentage was positively associated with birth weight (r = 0.541, p = 0.025). In conclusion, our present study for the first time detected the relationship between birth weight and placental microbiome profile in full-term neonates. It is novel in showing that the placental microbiome varies in association with low birth weight in full-term neonates.
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