Shiva Kalantari
Assistant Professor, Chronic Kidney Disease Research Center, Labbafinejad Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
[ 1 ] - Metabolomics approach reveals urine biomarkers and pathways associated with the pathogenesis of lupus nephritis
Objective(s): lupus nephritis (LN) is a severe form of systemic lupus erythematosus (SLE) with renal complications. Current diagnosis is based on invasive renal biopsy and serum antibodies and complement levels that are not specific enough. The current study aims to identify new biomarker candidates for non-invasive diagnosis of LN and explore the pathogenic mechanisms...
[ 2 ] - Classification of Chronic Kidney Disease Patients via k-important Neighbors in High Dimensional Metabolomics Dataset
Background: Chronic kidney disease (CKD), characterized by progressive loss of renal function, is becoming a growing problem in the general population. New analytical technologies such as “omics”-based approaches, including metabolomics, provide a useful platform for biomarker discovery and improvement of CKD management. In metabolomics studies, not only prediction accuracy is ...
[ 3 ] - Phenol Based RNA Isolation is the Optimum Method for Study of Gene Expression in Human Urinary Sediment
Evaluation of gene expression in urinary sediment has been considered as a promising non-invasive approach for biomarker identification of kidney diseases. Nonetheless, there are several challenges in extraction of RNA from this valuable source of biomarkers, mostly because of the factors that have influence on quality of isolated RNA such as low cellular content. Accordingly, we compared the q...
نویسندگان همکار