No abstract

Obesity is an emerging condition, with a prevalence of ~20%. Although the simple measurement of BMI is likely a simplistic approach to obesity, BMI is easily calculated, and there are currently no data showing that more sophisticated methods are more useful to guide the endocrine work-up in obesity. An increased BMI leads to a number of hormonal changes. Additionally, concomitant hormonal diseases can be present in obesity and have to be properly diagnosed – which in turn might be more difficult due to alterations caused by body fatness itself. The present European Society of Endocrinology Clinical Guideline on the Endocrine Work-up in Obesity acknowledges the increased prevalence of many endocrine conditions in obesity. It is recommended to test all patients with obesity for thyroid function, given the high prevalence of hypothyroidism in obesity. For hypercortisolism, male hypogonadism and female gonadal dysfunction, hormonal testing is only recommended if case of clinical suspicion of an underlying endocrine disorder. The guideline underlines that weight loss in obesity should be emphasized as key to restoration of hormonal imbalances and that treatment and that the effect of treating endocrine disorders on weight loss is only modest.

Highlights A 1-hour plasma glucose (1-h PG) threshold >155 mg/dl (8.6 mmol/L) during an oral glucose tolerance test (OGTT) may be a suitable biomarker for identifying normal glucose tolerant (NGT) individuals at risk for future type 2 diabetes (T2D). A one-hour, non-fasting, 50g Glucose Challenge Test (GCT) performed during a routine health care visit has potential for practical screening of glucose disorders. The shape of the glucose curve reflects the cumulative effect of insulin sensitivity and response on glucose concentrations with prospective studies warranted to evaluate its prognostic utility. The continuous glucose monitor (CGM) has facilitated insight into the pathophysiology of prediabetes and phenotypes of T2D and holds promise for detecting glycemic disorders. Metabolomic profiling including amino acids, lipids, carbohydrates and other metabolites may be useful for early diagnosis of glycemic disorders. Non-classical markers for assessing glycemic disorders including fructosamine, glycated albumin, and 1,5-anhydroglucitol that evaluate shorter periods of glucose exposure than HbA1c have potential use as adjunctive tools.

The characterization of the epigenetic changes within the obesity-related adipose tissue will provide new insights to understand this metabolic disorder, but adipose tissue is not easy to sample in population-based studies. We aimed to evaluate the capacity of circulating leukocytes to reflect the adipose tissue-specific DNA methylation status of obesity susceptibility. DNA samples isolated from subcutaneous adipose tissue and circulating leukocytes were hybridized in the Infinium HumanMethylation 450 BeadChip. Data were compared between samples from obese (n = 45) and non-obese (n = 8–10) patients by Wilcoxon-rank test, unadjusted for cell type distributions. A global hypomethylation of the differentially methylated CpG sites (DMCpGs) was observed in the obese subcutaneous adipose tissue and leukocytes. The overlap analysis yielded a number of genes mapped by the common DMCpGs that were identified to reflect the obesity state in the leukocytes. Specifically, the methylation levels of FGFRL1, NCAPH2, PNKD and SMAD3 exhibited excellent and statistically significant efficiencies in the discrimination of obesity from non-obesity status (AUC > 0.80; p < 0.05) and a great correlation between both tissues. Therefore, the current study provided new and valuable DNA methylation biomarkers of obesity-related adipose tissue pathogenesis through peripheral blood analysis, an easily accessible and minimally invasive biological material instead of adipose tissue.