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Gestational diabetes mellitus (GDM) represents one of the most common medical complications of pregnancy and is important to the well-being of both mothers and offspring in the short and long term. Lifestyle intervention remains the mainstay for the management of GDM. The efficacy of nutritional approaches (e.g. calorie restriction and small frequent meals) to improving the maternal-neonatal outcomes of GDM was attested to by Chinese population data, discussed in two articles in recent issues of this journal. However, a specific focus on the relevance of postprandial glycaemic control was lacking. Postprandial rather than fasting hyperglycaemia often represents the predominant manifestation of disordered glucose homeostasis in Chinese women with GDM. There is now increasing appreciation that the rate of gastric emptying, which controls the delivery of nutrients for digestion and absorption in the small intestine, is a key determinant of postprandial glycaemia in both health, type 1 and 2 diabetes. It remains to be established whether gastric emptying is abnormally rapid in GDM, particularly among Chinese women, thus contributing to a predisposition to postprandial hyperglycaemia, and if so, how this influences the therapeutic response to nutritional interventions. It is essential that we understand the role of gastric emptying in the regulation of postprandial glycaemia during pregnancy and the potential for its modulation by nutritional strategies in order to improve post-prandial glycaemic control in GDM.
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Patients with inflammatory bowel disease (IBD) are reported to have an increased risk of diabetes. IBD therapies may also modulate blood glucose substantially. These observations are indicative of mechanistic connection(s) between IBD and diabetes.
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The gastrointestinal tract is the key interface between the ingesta and the human body. There is wide recognition that the gastrointestinal response to nutrients or bioactive compounds, particularly the secretion of numerous hormones, is critical to the regulation of appetite, body weight and blood glucose. This concept has led to an increasing focus on "gut-based" strategies for the management of metabolic disorders, including type 2 diabetes and obesity. Understanding the underlying mechanisms and downstream effects of nutrient-gut interactions is fundamental to effective translation of this knowledge to clinical practice. To this end, an array of research tools and platforms have been developed to better understand the mechanisms of gut hormone secretion from enteroendocrine cells. This review discusses the evolution of in vitro and in vivo models and the integration of innovative techniques that will ultimately enable the development of novel therapies for metabolic diseases.
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Diabetes Mellitus Tipo 2 , Hormônios Gastrointestinais , Microbioma Gastrointestinal , Células Enteroendócrinas , Trato Gastrointestinal , Humanos , NutrientesRESUMO
BACKGROUND: The conventional approaches to diabetes screening are potentially limited by poor compliance and laboratory demand. This study aimed to evaluate the performance of fasting plasma glucose (FPG) and postprandial urine glucose (PUG) in screening for diabetes in Chinese high-risk population. METHODS: Nine hundred and nine subjects with high-risk factors of diabetes underwent oral glucose tolerance test after an overnight fast. FPG, hemoglobin A1c, 2-h plasma glucose (2 h-PG), and 2 h-PUG were evaluated. Diabetes and prediabetes were defined by the American Diabetes Association criteria. The area under the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic accuracy of 2 h-PUG, and the optimal cut-off determined to provide the largest Youden index. Spearman correlation was used for relationship analysis. RESULTS: Among 909 subjects, 33.4% (304/909) of subjects had prediabetes, and 17.2% (156/909) had diabetes. The 2 h-PUG was positively related to FPG and 2 h-PG (r = 0.428 and 0.551, respectively, both P < 0.001). For estimation of 2 h-PG ≥ 7.8 mmol/L and 2 h-PG ≥ 11.1 mmol/L using 2 h-PUG, the area under the ROC curve were 0.772 (95% confidence interval [CIâ ]: 0.738-0.806) and 0.885 (95% CI: 0.850-0.921), respectively. The corresponding optimal cut-offs for 2 h-PUG were 5.6 mmol/L and 7.5 mmol/L, respectively. Compared with FPG alone, FPG combined with 2 h-PUG had a higher sensitivity for detecting glucose abnormalities (84.1% vs. 73.7%, P < 0.001) and diabetes (82.7% vs. 48.1%, P < 0.001). CONCLUSION: FPG combined with 2 h-PUG substantially improves the sensitivity in detecting prediabetes and diabetes relative to FPG alone, and may represent an efficient layperson-oriented diabetes screening method.