Online ISSN: 2515-8260

Keywords : osteoporosis

Role of bone mineral density to assess osteoporosis at tertiary centre

Dr Burhan Bhat, Dr Sulaiman Sath, Dr Jabreel Muzaffar, Dr Ishtiaq Abdullah, Dr Zameer Ali, 6Dr A.R Badoo

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 4, Pages 2000-2004

Background: Measuring the density of the bone plays a vital role in the analysis of the
human bone health. The present study was conducted to assess role of bone mineral
density in assessment of osteoporosis.
Materials & Methods: 75 patients age ranged 30-60 years of both genders were
included. The BMD estimation of these patients was done by quantitative
ultrsonography of the calcaneal bone and the analysis done on the basis of T –scores. R
Results: Age group 30-40 years had 26, 40-50 years had 30 and 50-60 years had 19
patients. clinical presentation was backache in 35%, bone pain in 48% and fracture in
17%. osteopenia was seen in 45 and osteoporosis in 30 patients.
Conclusion: osteoporosis was seen in maximum subjects. Hence there is need to look
after bone calcium and phosphate level especially in age subjects.

Analysis of osteoporosis gene interactome to identify heterogenic genes and pathways

Bharat Singh; Yasha Hasija

European Journal of Molecular & Clinical Medicine, 2017, Volume 3, Issue 6, Pages 277-283

Latest advances in genetics have prompted swift progress towards the efficient identification of genes tangled in complex diseases. Still, the comprehensive understanding of the relation between the physiological and molecular mechanism of genes and how they affect disease phenotypes remains a challenge for researchers and clinicians. Here, we wish to identify the osteoporosis disease module, i.e. the indigenous neighborhood of the interactome whose agitation is associated with osteoporosis, and endorse it for functional and pathophysiological application, using both computational and experimental methodologies. Recent studies in osteoporosis suggest that against certain genetic variations, the expression level of genes were different in both diseased and normal conditions. The osteoporosis disease module supplemented with uncertain GWAS p-values may also contain mechanisms that are collective with other disease modules. We, therefore, constructed the gene-gene and protein-protein interaction network for 104 genes with 173 reported SNPs accompanied by GO functional enrichment and KEGG pathway enrichment analysis and recognized the substantial genes of osteoporosis along with their molecular functions. Our analyses exposed polymorphism in SOST and LRP5 as significantly conservative SNPs. Focal points: • Benchside: Robust and concise curation of raw data for osteoporosis will help to make the presymptomatic data more valuable to perform wet lab studies. • Bedside: Bioinformatics network studies are crucial in finding drug targets so it becomes necessary to process the huge data for osteoporosis to curate and produce significance targets. Further, unpredicted pathways and genes could be explored to support clinical studies. • Industry: Data from disease network studies is essential for predicting clinical and non-clinical follow-ups for better drug development. • Community: Ratification and standardization of redundant osteoporosis and gene polymorphism data helps to improvise clinical validation of drug targets. It is important that the data is upto the proper stringency level. • Government: As for the ultimate purpose of drug development, refined gene expression data is the key in developing clinical products. Financial support from government to produce and validate such products is important as with time these will help both the patients and clinicians as well.