Pituitary hypoplasia is the best MRI predictor of the severity and type of growth hormone deficiency in children with congenital growth hormone deficiency.

OBJECTIVES: Congenital idiopathic growth hormone deficiency (GHD) is associated with various MRI abnormalities, including sellar and extrasellar abnormalities. However, it remains contentious whether MRI brain findings could provide an additional avenue for precisely predicting the differentiation of GHD based on severity and type {isolated GHD or multiple pituitary hormone deficiencies (MPHD)}. This study aimed to ascertain the abnormality that is the best predictor of severity and type of GHD amongst the different MRI findings. METHODS: We conducted an analytical cross-sectional study, including 100 subjects diagnosed with idiopathic GHD. Patients were grouped into severe GHD, partial GHD, and MPHD and into groups based on the presence of pituitary hypoplasia, extrasellar brain abnormalities (EBA), and presence of ectopic posterior pituitary or pituitary stalk abnormalities (EPP/PSA) or both. RESULTS: Sixty six percentage of subjects had isolated GHD, 34% had MPHD, 71% had severe GHD, and 29% had partial GHD. Pituitary hypoplasia was the most common finding, observed in 53% of patients, while 23% had EBA, and 25% had EPP/PSA. Pituitary hypoplasia was observed to be the best predictor of severity of GHD with an odds ratio (OR) of 10.8, followed by EPP/PSA (OR=2.8), and EBA was the weakest predictor (OR=1.8). Pituitary hypoplasia was the only finding to predict MPHD (OR=9.2) significantly. On ROC analysis, a Pituitary height SDS of -2.03 had the best detection threshold for both severe GHD and MPHD. CONCLUSIONS: We observed Pituitary hypoplasia to be not only the most frequent MRI abnormality but also the best predictor of severe GHD and MPHD amongst various sellar and extrasellar abnormalities.

Hyperandrogenism, Insulin Resistance, and Acanthosis Nigricans (HAIR-AN) Syndrome Reflects Adipose Tissue Dysfunction ("Adiposopathy" or "Sick Fat") in Asian Indian Girls.

BACKGROUND: Whether HAIR-AN syndrome and polycystic ovarian syndrome (PCOS) are distinct entities or represent a phenotypic spectrum of the same syndrome is still unclear. HAIR-AN syndrome is characterized by high insulin resistance, obesity, and hyperinsulinemia as compared to PCOS and could represent adipose tissue dysfunction as the primary pathophysiologic trigger. This study was undertaken to study the role of adipose tissue dysfunction in HAIR-AN syndrome and PCOS using adipocytokines as surrogate markers of "adiposopathy." MATERIALS AND METHODS: A cross-sectional observational study was conducted at a tertiary care hospital over a period of 1 year. Serum adiponectin, leptin, IL-6, and TNF-α levels were measured in 30 women with HAIR-AN syndrome and in 30 women with PCOS. Correlations between adipocytokines, inflammatory markers, serum testosterone, and serum insulin were determined. Data analysis was performed using the SPSS version 23.0 (IBM SPSS Statistics Inc., Chicago, IL, USA) software program. RESULTS: Women with HAIR-AN syndrome had significantly higher hyperandrogenemia, hyperinsulinemia, and insulin resistance as compared to PCOS women. They also had high leptin levels and lower adiponectin levels (p < 0.001). However, the levels of inflammatory markers (TNF-α and IL-6) were similar in both the groups (p > 0.05). Serum adiponectin showed a negative correlation with HOMA-IR and testosterone levels, while leptin showed a positive correlation with both in HAIR-AN patients while no such correlation was found in the PCOS group. CONCLUSION: The significantly raised adipocytokines in HAIR-AN syndrome patients as compared to PCOS patients indicates the primary role of adipose tissue dysfunction ("adiposopathy") in the pathogenesis of HAIR-AN syndrome while only a minor role, if any, in PCOS. Both these syndromes stand as distinct entities pathogenically with an overlapping phenotype.

The Transcriptomic Evidence on the Role of Abdominal Visceral vs. Subcutaneous Adipose Tissue in the Pathophysiology of Diabetes in Asian Indians Indicates the Involvement of Both.

The roles of abdominal visceral (VAT) and subcutaneous adipose tissue (SAT) in the molecular pathogenesis type-2 diabetics (T2D) among Asian Indians showing a "thin fat" phenotype largely remains obscure. In this study, we generated transcription profiles in biopsies of these adipose depots obtained during surgery in 19 diabetics (M: F ratio, 8:11) and 16 (M: F ratio 5:11) age- and BMI-matched non-diabetics. Gene set enrichment analysis (GSEA) was used for comparing transcription profile and showed that 19 gene sets, enriching inflammation and immune system-related pathways, were upregulated in diabetics with F.D.R. <25% and >25%, respectively, in VAT and SAT. Moreover, 13 out of the 19 significantly enriched pathways in VAT were among the top 20 pathways in SAT. On comparison of VAT vs. SAT among diabetics, none of the gene sets were found significant at F.D.R. <25%. The Weighted Gene Correlation Analysis (WGCNA) analysis of the correlation between measures of average gene expression and overall connectivity between VAT and SAT was significantly positive. Several modules of co-expressed genes in both the depots showed a bidirectional correlation with various diabetes-related intermediate phenotypic traits. They enriched several diabetes pathogenicity marker pathways, such as inflammation, adipogenesis, etc. It is concluded that, in Asian Indians, diabetes pathology inflicts similar molecular alternations in VAT and SAT, which are more intense in the former. Both adipose depots possibly play a role in the pathophysiology of T2D, and whether it is protective or pathogenic also depends on the nature of modules of co-expressed genes contained in them.

The common pathophysiologic threads between Asian Indian diabetic's 'Thin Fat Phenotype' and partial lipodystrophy: the peripheral adipose tissue transcriptomic evidences.

T2D is a complex disease with poorly understood mechanisms. In Asian Indians, it is associated with "thin fat" phenotype which resembles with partial lipodystrophy. We hypothesized that disturbed expression of lipodystrophy genes might play a role in T2D pathogenesis. Therefore, we attempted to establish a link between these two diseases by studying the overlap between the network of lipodystrophy genes and the differentially expressed genes (DEGs) in the peripheral subcutaneous adipose tissue of Asian Indians diabetics. We found that 16, out of 138 lipodystrophy genes were differentially regulated in diabetics and around 18% overlap between their network and the DEGs; the expression level of lipodystrophy genes showed an association with disease-related intermediate phenotypic traits among diabetics but not in the control group. We also attempted to individualize the diabetic patients based on ±2 fold altered expression of lipodystrophy genes as compared to their average expression in the control group. In conclusion, significant overlap exists between some of the lipodystrophy genes and their network with DEGs in the peripheral adipose tissue in diabetics. They possibly play a role in the pathogenesis of diabetes and individualization of diabetics is possible based on their altered expression in their peripheral adipose tissue.

Multifaceted genome-wide study identifies novel regulatory loci in SLC22A11 and ZNF45 for body mass index in Indians.

Obesity, a risk factor for multiple diseases (e.g. diabetes, hypertension, cancers) originates through complex interactions between genes and prevailing environment (food habit and lifestyle) that varies across populations. Indians exhibit a unique obesity phenotype with high abdominal adiposity for a given body weight compared to matched white populations suggesting presence of population-specific genetic and environmental factors influencing obesity. However, Indian population-specific genetic contributors for obesity have not been explored yet. Therefore, to identify potential genetic contributors, we performed a two-staged genome-wide association study (GWAS) for body mass index (BMI), a common measure to evaluate obesity in 5973 Indian adults and the lead findings were further replicated in 1286 Indian adolescents. Our study revealed novel association of variants-rs6913677 in BAI3 gene (p = 1.08 × 10-8) and rs2078267 in SLC22A11 gene (p = 4.62 × 10-8) at GWAS significance, and of rs8100011 in ZNF45 gene (p = 1.04 × 10-7) with near GWAS significance. As genetic loci may dictate the phenotype through modulation of epigenetic processes, we overlapped genetic data of identified signals with their DNA methylation patterns in 236 Indian individuals and performed methylation quantitative trait loci (meth-QTL) analysis. Further, functional roles of discovered variants and underlying genes were speculated using publicly available gene regulatory databases (ENCODE, JASPAR, GeneHancer, GTEx). The identified variants in BAI3 and SLC22A11 genes were found to dictate methylation patterns at unique CpGs harboring critical cis-regulatory elements. Further, BAI3, SLC22A11 and ZNF45 variants were located in repressive chromatin, active enhancer, and active chromatin regions, respectively, in human subcutaneous adipose tissue in ENCODE database. Additionally, these genomic regions represented potential binding sites for key transcription factors implicated in obesity and/or metabolic disorders. Interestingly, GTEx portal identify rs8100011 as a robust cis-expression quantitative trait locus (cis-eQTL) in subcutaneous adipose tissue (p = 1.6 × 10-7), and ZNF45 gene expression in skeletal muscle of Indian subjects showed an inverse correlation with BMI indicating its possible role in obesity. In conclusion, our study discovered 3 novel population-specific functional genetic variants (rs6913677, rs2078267, rs8100011) in 2 novel (SLC22A11 and ZNF45) and 1 earlier reported gene (BAI3) for BMI in Indians. Our study decodes key genomic loci underlying obesity phenotype in Indians that may serve as prospective drug targets in future.

Glycaemic control in type 2 diabetes mellitus patients undergoing major surgery: comparison of three subcutaneous insulin regimens.

Pre-operative glucose control with subcutaneous insulin in non-urgent situations is logical and well accepted. But the best regimen amongst the many available ones of insulin administration during peroperative period during major surgery is uncertain. We compared three subcutaneous insulin regimens for pre-operative glucose control in type 2 diabetes mellitus (T2DM) patients. One hundred and seventy-two T2DM patients hospitalised for major surgeries were enrolled in the study. Pre-operative glycaemic control was achieved with one of the following regimens: (1) Premix 30/70 insulin (R/N-0-R/N). (2) R + NPH; basal-bolus regular and NPH insulin (R-R-R/N). (3) R + G; basal-bolus regular and glargine insulin (R-R-R-G) [G: glargine insulin; N: neutral protamine hagedorn insulin; R: regular insulin]. Insulin doses were adjusted to achieve fasting and postmeal glucose values respectively <120 and <180 mg/dl. Intra-operative management included glucose insulin potassium solution. Postoperatively, patients were switched back to the same insulin regimen that they received pre-operatively. These regimens were compared for following parameters. (1) Time to achieve glycaemic target. (2) Total daily insulin dose. (3) Incidence of hypo- and severe hyperglycaemia. (4) Complications like renal failure, infection, etc. (5) in hospital mortality. R + G regimen was associated with lesser dose of insulin (29.53 +/- 9.83 versus 35.67 +/- 12.19 and 37.42 +/- 13.5 unit respectively for regimen 2 and 1, p < 0.005), lesser time to achieve glycaemic target (6.75 +/- 3.25 versus 7.37 +/- 7.47 and 8.23 +/- 6.04 days, p > 0.05), lower incidence of hypoglycaemia (10.53 versus 14.81 and 30.00%, p < 0.02) and severe hyperglycaemia (5.26 versus 29.63 and 8.33%, p < 0.005). Incidence of infection (10.53 versus 18.52 and 15.00%, p > 0.05), renal complications (10.53 versus 11.11 and 15.00%, p > 0.05) and mortality (5.26 versus 14.81 and 15.00%, p > 0.05) were lower with this regimen, but the difference was not statistically significant. Premix 30/70 and R + NPH regimens were comparable for most parameters but hypoglycaemia and severe hyperglycaemia were more frequent respectively with premix 30/70 and R + NPH regimens. In contrast to the popular perception about the risk of hypoglycaemia with long acting insulins, insulin analogue glargine was found to be better than NPH insulin in basal bolus regimens in achieving better glycaemic control with fewer incidence of hypoglycaemia.