Publications by authors named "S Zamani"
Deletion of the long q arm of chromosome 22 (22qDEL) is the most frequently identified recurrent somatic copy number alteration (SCNA) observed in papillary thyroid carcinoma (PTC). Since its role in PTC is not fully understood, we conducted a pooled analysis of genomic characteristics and clinical correlates in 1094 primary tumors from four published PTC genomic studies. The majority of PTC with 22qDEL exhibited arm-level loss of heterozygosity (86%); nearly all PTC with 22qDEL had losses in 22q12 and 13, which together constitute 70% of the q arm.
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- Physical activity enhances liver health and reduces oxidative stress, potentially through the protein irisin, with the study focusing on the gene/protein HSP70 and miR-223a in the context of endurance exercise and irisin injection.
- A total of 21 mice were divided into three groups (control, endurance training, irisin injection) to analyze gene and protein expression using techniques like real-time PCR and Western blot analysis over an 8-week period.
- Results showed significant increases in HSP70 expression and serum irisin levels in both the endurance and irisin groups, while miR-223a levels decreased, suggesting that irisin injection could effectively mimic the benefits of prolonged endurance exercise.
Human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) are known as the most common blood-borne viral infections worldwide. Individuals referring to drop-in centers (DICs) are considered high-risk people exposed to infection with blood-borne viruses. The purpose of this study was to investigate the prevalence of HIV, HBV, and HCV infections among women referred to DICs in Lorestan Province, western Iran.
View Article and Find Full Text PDFBackground And Aim: The potential intricacy of skull fractures as well as the complexity of underlying anatomy poses diagnostic hurdles for radiologists evaluating computed tomography (CT) scans. The necessity for automated diagnostic tools has been brought to light by the shortage of radiologists and the growing demand for rapid and accurate fracture diagnosis. Convolutional Neural Networks (CNNs) are a potential new class of medical imaging technologies that use deep learning (DL) to improve diagnosis accuracy.
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