Publications by authors named "S Ayub"
Background: As a master immune system regulator, transforming growth factor β1 (TGF-β1) is closely linked to the complicated pathophysiology and development of systemic sclerosis (SSc), a multisystem fibrotic disease.
Objective: We aim to evaluate the transcriptional levels of TGF-β1 mRNA in PBMCs, assess the TGF-β1 serum levels of SSc patients, and compare them with those of healthy subjects.
Methods: PBMCs were isolated from whole blood of 50 SSc patients and in 30 healthy controls.
Article Synopsis
- Electromagnetic pollution, caused by the increase of electronic devices, is an issue that researchers are tackling using polymer-based composites.
- This study focuses on incorporating magnetite-modified graphene (MMG) into polyvinylidene fluoride (PVDF) to create composites with varying MMG content (2-10 wt%) and analyze their electromagnetic properties.
- The composite with 10 wt% MMG showed the highest electrical conductivity (0.65 S/cm) and significant shielding effectiveness (53.04 dB) while also enhancing thermal stability and microwave absorption, making it suitable for electronic and aviation applications.
Background: Lung cancer remains a leading cause of cancer-related deaths globally, with increasing incidence among females. Sex differences in lung cancer risk and outcomes are influenced by various factors, including biological characteristics. In Bangladesh, where lung cancer mortality rates are high, patients often present at advanced stages.
View Article and Find Full Text PDFNon-opioid psychiatric medications for chronic pain: systematic review and meta-analysis.
Front Pain Res (Lausanne)
October 2024
Background: The escalating number of deaths related to opioid usage has intensified the pursuit of non-opioid alternatives for managing chronic pain. It's often observed that psychiatric comorbidities coexist in patients suffering from chronic pain. There are a variety of psychotropic medications that have demonstrated effectiveness in treating both psychiatric symptoms and pain.
View Article and Find Full Text PDFObjective: To evaluate the effectiveness of Monocyte Distribution Width (MDW) in predicting sepsis outcomes in emergency department (ED) patients compared to other hematologic parameters and vital signs, and to determine whether routine parameters could substitute MDW in machine learning models.
Methods: We conducted a retrospective analysis of data from 10,229 ED patients admitted to a large regional safety-net hospital in Cleveland, Ohio who had suspected infections and developed sepsis-associated poor outcomes. We developed a new analytical framework consisting of seven data models and an ensemble of high accuracy machine learning (ML) algorithms (accuracy values ranging from 0.