Background: Diagnosis of neuropsychiatric systemic lupus erythematosus (NPSLE) is challenging due to nonspecific biomarkers. High serum levels of neurofilament protein light subunit (NFL), high mobility group box 1 (HMGB1), Matrix metalloproteinase-9 (MMP-9) and have been reported in several autoimmune diseases. The aim of this study was to examine whether their plasma levels could serve as a diagnostic or prognostic biomarker for NPSLE.
View Article and Find Full Text PDFBackground: In severe COVID-19 cases, a hypercoagulable state may occur. Antiphospholipid syndrome-related auto-antibodies (APSRAs) contribute to coagulopathy, but their role in COVID- 19 remains unclear. We aimed to investigate the prevalence of positive APSRAs and their effect on clinical outcomes in confirmed COVID-19 patients.
View Article and Find Full Text PDFIntroduction: Osteoporosis is a common disease among middle-aged and older people. Because bone mineral density (BMD) is obtained by dividing bone mineral content by area, accurate measurement of the surface of the studied area plays an important role. Therefore, the purpose of this study was to investigate the area of the hip and forearm regions based on gender and height.
View Article and Find Full Text PDFBackground: Rheumatoid arthritis (RA) presents with inflammation in the joints and bony tissues around them. The trabecular bone score (TBS) is a relatively new indicator that predicts fracture risk better than bone mineral density (BMD). The aim of the current study was to measure TBSs and BMD of patients with RA referring to Resalat Hospital, Tehran.
View Article and Find Full Text PDFMutat Res Rev Mutat Res
February 2021
As a complex disease, osteoporosis is influenced by several genetic markers. Many studies have examined the link between the Sp1 binding site +1245 G > T (rs1800012) and -1997 G > T (rs1107946) variations in the COL1A1 gene with osteoporosis risk. However, the findings of these studies have been contradictory; therefore, we performed a meta-analysis to aggregate additional information and obtain increased statistical power to more efficiently estimate this correlation.
View Article and Find Full Text PDFBackground: Decision tree classification is a standard machine learning technique that has been used for a wide range of applications. Patients with inflammatory bowel disease (IBD) are at increased risk of developing low bone mineral density (BMD). This study aimed at developing a new approach to select truly affected IBD patients who are indicated for densitometry, hence, subjecting fewer patients for bone densitometry and reducing expenses.
View Article and Find Full Text PDFPatients with inflammatory bowel disease (IBD) are at increased risk of developing osteopenia and osteoporosis. The aim of the study was to investigate the prevalence of decreased bone density and related risk factors in Iranian IBD patients. A total of 126 ulcerative colitis (UC) and 39 Crohn's disease (CD) patients were enrolled.
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