oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Search Results: 1 - 10 of 2375 matches for " Mathur Sandeep "
All listed articles are free for downloading (OA Articles)
Page 1 /2375
Display every page Item
Body hair distribution of women attending endocrine OPD
Mathur Sandeep,Ammini A
Indian Journal of Dermatology, Venereology and Leprology , 1996,
Abstract:
Microarray Evidences the Role of Pathologic Adipose Tissue in Insulin Resistance and Their Clinical Implications
Sandeep Kumar Mathur,Priyanka Jain,Prashant Mathur
Journal of Obesity , 2011, DOI: 10.1155/2011/587495
Abstract: Clustering of insulin resistance and dysmetabolism with obesity is attributed to pathologic adipose tissue. The morphologic hallmarks of this pathology are adipocye hypertrophy and heightened inflammation. However, it's underlying molecular mechanisms remains unknown. Study of gene function in metabolically active tissues like adipose tissue, skeletal muscle and liver is a promising strategy. Microarray is a powerful technique of assessment of gene function by measuring transcription of large number of genes in an array. This technique has several potential applications in understanding pathologic adipose tissue. They are: (1) transcriptomic differences between various depots of adipose tissue, adipose tissue from obese versus lean individuals, high insulin resistant versus low insulin resistance, brown versus white adipose tissue, (2) transcriptomic profiles of various stages of adipogenesis, (3) effect of diet, cytokines, adipokines, hormones, environmental toxins and drugs on transcriptomic profiles, (4) influence of adipokines on transcriptomic profiles in skeletal muscle, hepatocyte, adipose tissue etc., and (5) genetics of gene expression. The microarray evidences of molecular basis of obesity and insulin resistance are presented here. Despite the limitations, microarray has potential clinical applications in finding new molecular targets for treatment of insulin resistance and classification of adipose tissue based on future risk of insulin resistance syndrome.
Microarray Evidences the Role of Pathologic Adipose Tissue in Insulin Resistance and Their Clinical Implications
Sandeep Kumar Mathur,Priyanka Jain,Prashant Mathur
Journal of Obesity , 2011, DOI: 10.1155/2011/587495
Abstract: Clustering of insulin resistance and dysmetabolism with obesity is attributed to pathologic adipose tissue. The morphologic hallmarks of this pathology are adipocye hypertrophy and heightened inflammation. However, it's underlying molecular mechanisms remains unknown. Study of gene function in metabolically active tissues like adipose tissue, skeletal muscle and liver is a promising strategy. Microarray is a powerful technique of assessment of gene function by measuring transcription of large number of genes in an array. This technique has several potential applications in understanding pathologic adipose tissue. They are: (1) transcriptomic differences between various depots of adipose tissue, adipose tissue from obese versus lean individuals, high insulin resistant versus low insulin resistance, brown versus white adipose tissue, (2) transcriptomic profiles of various stages of adipogenesis, (3) effect of diet, cytokines, adipokines, hormones, environmental toxins and drugs on transcriptomic profiles, (4) influence of adipokines on transcriptomic profiles in skeletal muscle, hepatocyte, adipose tissue etc., and (5) genetics of gene expression. The microarray evidences of molecular basis of obesity and insulin resistance are presented here. Despite the limitations, microarray has potential clinical applications in finding new molecular targets for treatment of insulin resistance and classification of adipose tissue based on future risk of insulin resistance syndrome. 1. Introduction The term insulin resistance means impairment in insulin action at its target organs [1]. This biochemical defect is commonly seen in subjects with visceral obesity, and it clusters with modern life diseases like type-2 diabetes mellitus, hypertension, dylipidemia and atherosclerotic vascular disease [2–4]. This association was initially demonstrated in clinical studies, and subsequently epidemiological studies done across the globe have generated convincing evidences to support this association [5–8]. Increasing adipose tissue mass was found to be associated with altered fat metabolism and inflammation, thus contributing to diabetes and vascular disease. This association is recognized clinically as metabolic syndrome. However, questions have been raised on existence of metabolic syndrome as a distinct disease because its pathophysiology is still not well defined [9–13]. Recently, the concept of “adiposopathy” has been, suggested to define this cluster of obesity, inflammation and metabolic/vascular complications as a formal disease [14–16]. The basic assumption is that
Acrochordon, diabetes and associations
Bhargava Puneet,Mathur Sandeep,Mathur Deepak,Malpani Satish
Indian Journal of Dermatology, Venereology and Leprology , 1996,
Abstract: A study of clinical profile of acrochordons was carried out in 100 patients. Their association with diabetes mellitus and other disorders was studied. Acrochordons were found to be closely associated with pseudo-acanthosis nigricans, seborrhoeic keratosis, obesity and non-insulin dependent diabetes mellitus.
Naevus comedonicus associated with epidermoid cyst
Mathur Deepak,Bhargava Puneet,Agarwal U,Mathur Sandeep
Indian Journal of Dermatology, Venereology and Leprology , 1996,
Abstract: Naevus comedonicus associated with epidermoid cyst is a rare association. Two such case reports are presented.
Gastroduodenal Tuberculosis: A Rare Cause of Gastric Outlet Obstruction
Pankaj Gupta,Sandeep Guleria,Sandeep R. Mathur,Vineet Ahuja
Surgery Journal , 2012, DOI: 10.3923/sjour.2010.36.39
Abstract: Gasrtroduodenal tuberculosis is a rare entity with few cases reported in literature. It poses a great diagnostic dilemma and has no clear management guidelines. We report a case of gastro duodenal tuberculosis in a 17 years old male patient who presented with features of gastric outlet obstruction. Oesophago-gastro-duodenoscopy (UGIE) revealed deformed pylorus with stricture in 1st part of duodenum. Abdominal CT showed distended stomach with transition in 1st part of duodenum without any mass lesion or significant lymphadenopathy. Endoscopic biopsy showed non-specific duodenitis. Exploratory laparotomy revealed puckered pylorus, enlarged juxta pyloric lymph nodes without any mass lesion. Intra-operative frozen section biopsy from juxta pyloric lymph node was suggestive of granulamatous inflammation. Truncal vagotomy with gastro-jejunostomy was done and juxta pyloric lymph nodes were sampled for histopathological examination. Final histopathological findings were consistent with features of tuberculosis. Patient was started on anti-tubercular therapy and was cured of the disease.
Cytological diagnosis of peritoneal endometriosis
Arava Sudheer,Iyer Venkateswaran,Mathur Sandeep
Journal of Cytology , 2010,
Abstract:
Functional adrenal oncocytoma: A rare neoplasm
Sharma Nitin,Dogra Prem,Mathur Sandeep
Indian Journal of Pathology and Microbiology , 2008,
Abstract: Adrenal oncocytoma is a rare adrenal neoplasm with only 21 cases reported in English literature. These adrenal tumors are usually nonfunctional and hence incidentally detected. Most of these adrenal neoplasms are benign. We report a rare case of adrenal oncocytoma that was functional and was successfully managed by laparoscopic adrenalectomy.
An Application of the ABS Algorithm for Modeling Multiple Regression on Massive Data, Predicting the Most Influencing Factors  [PDF]
Soniya Lalwani, M. Krishna Mohan, Pooran Singh Solanki, Sorabh Singhal, Sandeep Mathur, Emilio Spedicato
Applied Mathematics (AM) , 2013, DOI: 10.4236/am.2013.46126
Abstract: Linear Least Square (LLS) is an approach for modeling regression analysis, applied for prediction and quantification of the strength of relationship between dependent and independent variables. There are a number of methods for solving the LLS problem but as soon as the data size increases and system becomes ill conditioned, the classical methods become complex at time and space with decreasing level of accuracy. Proposed work is based on prediction and quantification of the strength of relationship between sugar fasting and Post-Prandial (PP) sugar with 73 factors that affect diabetes. Due to the large number of independent variables, presented problem of diabetes prediction also presented similar complexities. ABS method is an approach proven better than other classical approaches for LLS problems. ABS algorithm has been applied for solving LLS problem. Hence, separate regression equations were obtained for sugar fasting and PP severity.
Post-traumatic skin and soft tissue infection due to Aeromonas hydrophila
Behera Bijayini,Bhoriwal Sandeep,Mathur Purva,Sagar Sushma
Indian Journal of Critical Care Medicine , 2011,
Abstract: We report a case of posttraumatic skin and soft tissue infection in a patient who sustained laceration after being hit by a water tanker. Aeromonas hydrophila was isolated from pus and was identified to the species level by Vitek 2 and a battery of biochemical tests. The patient responded to thorough drainage, debridement of wound and 2 weeks of intravenous antibiotics. The patient was taken up for split skin grafting of the raw area. She was discharged with satisfactory graft uptake after 1 week without any further antibiotics advice. Follow-up after 3 weeks was satisfactory with healthy cover on the raw area and normal weight bearing on the left leg.
Page 1 /2375
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.