Chronic obstructive pulmonary disease (COPD) is characterized by inflammation of lung parenchyma and pulmonary hypoxemia with a proven systemic component. Tobacco smoke is the most important risk factor and plasma membrane plays a major role in the disease pathology and progression. The properties of biological membranes are a function of their lipid composition. Any change in its composition may lead to the pathophysiology. In COPD research, erythrocytes are emerging as a new therapeutic venture, as their shape and properties change in the disease. Therefore we studied the lipid composition of the erythrocyte membranes of COPD patients. The study included 30 patients having COPD, 10 healthy smokers and 10 non-smokers. Erythrocytes were separated from peripheral blood and their membranes prepared, followed by estimation of proteins, cholesterol and phospholipids. Individual phospholipids were identified and separated by TLC and fatty acid composition determined by gas chromatography. The data were analyzed statistically and P < 0.05 was considered significant. Our results demonstrate that in very severe COPD, proteins decrease, whereas phospholipids and cholesterol contents increase significantly, which showed a consistent negative correlation with FEV1%. The fatty acid analysis showed preponderance towards saturated fatty acids mainly arachidic and behenic acid, suggesting a decrease in membrane fluidity or a closer packing of lipid rafts. We are the first to report about preponderance of saturated fatty acids in plasma membrane of erythrocytes of COPD patients which may decrease the membrane fluidity and possibly impair the functions of the plasma membrane in the disease.
Polycystic ovarian syndrome (PCOS), a major cause of infertility, is also strongly associated with insulin resistance. Defects in insulin receptor signaling are considered as one of the major molecular pathogeneses for insulin resistance. To investigate the possible mechanism of this signaling defect at genetic level, single-nucleotide polymorphism (SNP) [His 1085 C/T] at the exon 17 of insulin receptor gene (INSR) was studied in this pilot study. Polymerase chain reaction was performed on leucocytic DNA of women diagnosed with PCOS, selected from the outpatient department of Safdarjung Hospital, New Delhi, using suitable primer to amplify a region on INSR. An equal number of age-matched healthy women were selected as controls. SNP analysis was performed with restriction enzyme length polymorphism technique using Pm II enzyme. Serum insulin level was measured by ELISA kit and HOMA-IR was calculated mathematically. A higher frequency of the CC genotype was observed in PCOS women than in controls. Also, HOMA-IR, a tool for estimating insulin resistance, was significantly high in PCOS women with the CC genotype. C1008T SNP at exon 17 of INSR is associated with insulin resistance in Indian women with PCOS. Presence of CC genotype (C1085T) could be developed as a marker for insulin resistance and metabolic complications in PCOS women.
Background
MicroRNAs (miRNAs) represent a novel class of single-stranded RNA molecules of 18–22 nucleotides that serve as powerful tools in the regulation of gene expression. They are important regulatory molecules in several biological processes.
Main body
Alteration in the expression profiles of miRNAs have been found in several diseases. It is anticipated that miRNA expression profiling can become a novel diagnostic tool in the future.
Hence, this review evaluates the implications of miRNAs in various diseases and the recent advances in miRNA expression level detection and their target identification. A systematic approach to review existing literature available on databases such as Medline, PubMed, and EMBASE was conducted to have a better understanding of mechanisms mediating miRNA-dependent gene regulation and their role as diagnostic markers and therapeutic agents.
Conclusion
A clear understanding of the complex multilevel regulation of miRNA expression is a prerequisite to explicate the origin of a wide variety of diseases. It is understandable that miRNAs offer potential targets both in diagnostics and therapeutics of a multitude of diseases. The inclusion of specific miRNA expression profiles as biomarkers may lead to crucial advancements in facilitating disease diagnosis and classification, monitoring its prognosis, and treatment. However, standardization of methods has a pivotal role in the success of extensive use of miRNA expression profiling in routine clinical settings.
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