Abstract

Earlier diabetes mellitus (DM) was thought to be a disease of carbohydrate metabolism. Looking at the effects of insulin deficiency on carbohydrate and lipid metabolism, diabetes mellitus is now being called more a disease of lipid metabolism than carbohydrate metabolism. A cross-sectional study was conducted during March 2005 to March 2006 to study the low-density lipoproteins (LDL) levels in diabetes mellitus and its relation to glycaemic control. LDL levels were estimated. Comparison of lipid levels were made between group of diabetic patients with glycated hemoglobin less than 8.0% and a group of diabetic patients with glycated hemoglobin more than 8.0% and the controls. The lipid fractions i.e. total cholesterol (TC), triglycerides (TG), and low-density lipoprotein (LDL) levels were higher in the poorly controlled diabetes patients as compared to well controlled diabetic patients and nondiabetic patients. Increased levels of low-density lipoprotein may be a contributory factor to the high risk of atherosclerosis induced coronary artery disease observed in diabetes mellitus patients. Reduction of blood glucose levels is likely to reduce low density lipoprotein levels and the risk of complication, with the lowest risk being in those with glycosylated hemoglobin values in the normal range ie. Less than 8.0%.

Key words: low- density lipoprotein; glycosylated hemoglobin; type-2 diabetes mellitus  
 
 
» HTML Fulltext    » PDF Fulltext    » doi: 

 

Nike Air Max 90

Current Issue

Volume 12, issue 1, January-March 2020


Next Editorial:

In April-June 2020 issue, the journal will publish an editorial from Morocco (Dr. Benksim, Higher Institute of Nursing Professions and Health Techniques, Morocco). The editorial talks about lessons from COVID-19 pandemic and the Morocco’s success story. The April-June issue is expected to be published by end of June 2020.


 

The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.

To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here


 

The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.

The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:


 

TDR Clinical Research and Development Fellowships

Call for applications

Deadline for submission: 7 March 2019, 16:00 (GMT)

TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:


Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019

Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).

About the Instructor

Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: