Publications by authors named "Sandeep K Mathur"

Background: Wilson's disease (WD) results from pathogenic ATP7B gene variations, causing copper accumulation mainly in the liver, brain, and kidneys.

Objectives: In India, despite studies on ATP7B variants, WD often goes undiagnosed, with the prevalence, carrier rate, and mutation spectrum remaining unknown.

Methods: A multicenter study examined genetic variations in WD among individuals of Indian origin via whole exome sequencing.

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Article Synopsis
  • Studying lipodystrophy genes can help us understand insulin resistance and type 2 diabetes, providing insight into metabolic syndrome and its underlying causes.
  • Researchers created a panel of 50 lipodystrophy genes and analyzed their expression in both visceral and subcutaneous fat in individuals with and without metabolic syndrome.
  • Results showed that lipodystrophy genes are often downregulated in people with metabolic syndrome, and their expression levels are linked to severity of conditions like type 2 diabetes, indicating these genes play a role in fat metabolism and disease development.
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Background: Asian-Indians show thin fat phenotype, characterized by predominantly central deposition of excess fat. The roles of abdominal subcutaneous fat (SAT), intra-peritoneal adipose tissue, and fat depots surrounding the vital organs (IPAT-SV) and liver fat in insulin resistance (IR), type-2 diabetes (T2D) and metabolic syndrome (MetS) in this population are sparsely investigated.

Aims And Objectives: Assessment of liver fat, SAT and IPAT-SV by MRI in subjects with T2D and MetS; and to investigate its correlation with IR, specifically according to different quartiles of HOMA-IR.

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Insulin resistance (IR) is considered the precursor and the key pathophysiological mechanism of type 2 diabetes (T2D) and metabolic syndrome (MetS). However, the pathways that IR shares with T2D are not clearly understood. Meta-analysis of multiple DNA microarray datasets could provide a robust set of metagenes identified across multiple studies.

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Background And Aims: Autoimmune thyroid dysfunction (AITD) is a significant autoimmune disorder affecting the population across age groups. The clustering of autoimmune diseases tends to occur within the same patients and families. Thus, this study aimed to determine the association of Type 1 diabetes and other autoimmune ailments in patients with autoimmune thyroid disorders.

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Background: Heart rate variability (HRV) reflects the balance between the sympathetic and parasympathetic divisions of the autonomic nervous system. Anti-thyroid antibodies like anti-TPO and anti-Thyroglobulin have long been associated with thyroid dysfunction and abnormal thyroid profile testing. Subclinical hypothyroidism (SCHypo) is characterized by elevated thyroid-stimulating hormone (TSH) with normal thyroid hormones.

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Background And Objectives: Differentiation of growth hormone deficiency (GHD) into various types has been made based on peak stimulated growth hormone levels and other hormone axis involvement. The data regarding how this classification is associated with variation in clinical and biochemical phenotype and how these findings associate with pituitary morphology remains sparse, especially in the Indian population. Therefore, we aimed to ascertain the differences in the pattern of auxological, clinical features including pituitary hypoplasia, and endocrinological profile among patients with severe GHD, partial GHD, and MPHD in the Indian population and to evaluate the association of pituitary height with various clinical and hormonal parameters.

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Context: Precise genotype-phenotype correlations in Turner syndrome (TS) have not yet been deciphered. The chromosomal basis of the clinical TS phenotype in the absence of X chromosome aberrations on conventional karyotyping remains more and less unexplored.

Objective: To elucidate the high-resolution chromosomal picture and analyze the genotype-phenotype associations in girls with clinical phenotype of TS by chromosomal microarray.

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The prevalence of Type 2 Diabetes has reached an epidemic proportion particularly in south Asian countries. We have earlier shown that the anatomical fat distribution, termed 'thin fat phenotype' in this population indeed plays a major role for their T2D-predisposition it is indeed the sick fat or adiposopathy, which is the root cause of metabolic syndrome and diabetes and affects both-peripheral, as well as visceral adipose tissue compartments. In present study, we have attempted to unravel the altered regulatory mechanisms at the level of transcription factors, and miRNAs those may likely accounts to T2D pathophysiology in femoral subcutaneous adipose tissue.

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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.

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Article Synopsis
  • The study explores the COVIDSeq protocol for efficient diagnosis and genetic analysis of SARS-CoV-2, highlighting its effectiveness in handling high-throughput testing during the COVID-19 pandemic.
  • Results show that COVIDSeq has a high concordance with traditional RT-PCR tests and even identified cases that were missed by RT-PCR, emphasizing its viability as a confirmatory testing method.
  • The research also contributes to the understanding of the genetic diversity of SARS-CoV-2, reporting new lineages and a high number of unique genetic variants for the first time in India.
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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.

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Objective: Efficacy of bilateral inferior petrosal sinus sampling (BIPSS) in corticotropin-dependent Cushing's syndrome (CS) for localization and lateralization of excess adrenocorticotropic hormone (ACTH) source, as compared to high-dose dexamethasone suppression test (HDDST) and magnetic resonance imaging (MRI) pituitary, respectively.

Methodology: Thirteen patients with clinically and biochemically confirmed CS underwent HDDST, MRI pituitary, and BIPSS by an experienced team of intervention neurologist, neurosurgeon, and endocrinologist using percutaneous femoral vein approach.

Results: Of 13 patients (11 adults and two children) who underwent BIPSS, raised central to peripheral ACTH ratio was achieved in 12 cases, remaining one case being ectopic ACTH secretion (EAS).

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A surge to increase the production via usage of chemicals at both industrial and agricultural arena has forced humans to be routinely and imprudently exposed to a wide variety of endocrine disrupting chemicals. The overall aim of the study was to evaluate possible relation that might exist between bisphenol-A (BPA) and the adipose tissue hormones, and further impact on adiposopathy. In the present study, the role of BPA, an "endocrine disruptor" with respect to adiposopathy was evaluated in type 2 diabetes mellitus patients.

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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.

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Background: Subclinical hypothyroidism (SCH) is defined as a mildly reduced function of the thyroid gland having elevated serum thyroid-stimulating hormone (TSH) level and normal concentrations of free tri-iodothyronine (FT3), free tetra-iodothyronine (FT4), T3 and T4. It occurs due to (low metabolic activity) at the systemic and cellular level. and having its effect on (a root cause of SCH) are expected to prevent overt hypothyroidism and revert subclinical stage to euthyroid.

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Article Synopsis
  • T2D (Type 2 Diabetes) is a complicated disease linked to the "thin fat" phenotype seen in Asian Indians, which is similar to partial lipodystrophy, suggesting a potential connection between the two conditions.
  • Researchers studied the expression of lipodystrophy genes in the adipose tissue of diabetic Asian Indians and found that 16 out of 138 lipodystrophy genes were differentially regulated in diabetics, indicating a significant overlap in gene expression between lipodystrophy and T2D.
  • The study suggests that these lipodystrophy genes may influence the development of diabetes and can be used to categorize diabetes patients based on the altered expression of these genes in their fat tissue.
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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.

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The pathogenic mechanisms causing type 2 diabetes (T2D) are still poorly understood; a greater awareness of its causation can lead to the development of newer and better antidiabetic drugs. In this study, we used a network-based approach to assess the cellular processes associated with protein-protein interaction subnetworks of glycemic traits-HOMA-β and HOMA-IR. Their subnetworks were further analyzed in terms of their overlap with the differentially expressed genes (DEGs) in pancreatic, muscle, and adipose tissue in diabetics.

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Objectives: Idiopathic hypogonadotropic hypogonadism (IHH) can be associated with anosmia/hyposmia. The objective of this study is to evaluate olfaction by Indian smell identification test (INSIT) and measure olfactory bulbs (OBs) and sulci using dedicated magnetic resonance imaging (MRI) in patients with IHH and correlate MRI findings with INSIT.

Methods: Forty patients with IHH underwent (a) brief smell identification test (INSIT) and (b) MRI of the olfactory apparatus.

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Introduction: Type 1 diabetes mellitus (T1DM) is associated with various autoimmune disorders like celiac disease, thyroid disorder, adrenal failure, etc. However, how common is this association in Indian children is not clearly known.

Objective: To assess the prevalence of other coexisting autoimmune disorders in children with T1DM.

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Type 2 diabetes (T2D) is a complex disease with an elusive link between its molecular aetiology and clinical presentation. Although, the role of visceral adipose tissue in insulin-resistance and T2D is known, limited information is available on the role of peripheral-subcutaneous adipose tissue especially in Asian Indians. In this microarray-based study of diabetic and normal glucose tolerant Asian Indians, we generated the transcriptome of their thigh adipose tissue and analyzed differentially expressed genes (DEGs) using weighted gene co-expression network analysis; further we identified perturbed pathways implicated by these DEGs in relevant co-expression modules.

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We performed a systematic analysis of genes implicated in thigh subcutaneous adipose tissue of Asian Indian Type 2 Diabetes Mellitus (AIT2DM) and created a phenome-interactome network. This analysis was performed on 60 subjects specific to limb thigh fat by integrating phenotypic traits and similarity scores associated with AIT2DM. Using a phenotypic attribute, a contextual neighbor was identified across all the traits, .

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Article Synopsis
  • This text discusses the complexities of understanding phenotypes and genetic factors related to metabolic syndrome (MetS), highlighting the difficulties in pinpointing their contributions to complex diseases.* -
  • It emphasizes the advancements in systems genomics that are necessary for identifying and evaluating the functional roles of traits linked to MetS, especially in relation to insulin resistance and its associated conditions like obesity and diabetes.* -
  • The commentary argues for a deeper exploration of the molecular mechanisms of MetS in order to better understand the genetic determinants involved in lipodystrophy-related diabetes mellitus.*
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