Publications by authors named "T Ben Abdallah"
Objectives: The aim of this review was to summarize existing data on the contribution of Vitamin D level and/or deficiency/insufficiency to systemic sclerosis susceptibility and its clinical features.
Methods: An electronic literature search for eligible studies among all papers published prior to 30 June 2024 was conducted through PubMed, EMBASE, Web of science, and Scopus databases. Meta-analyses estimating pooled raw mean differences, odds ratios, and Pearson together with subgroup analyses and meta-regressions were performed for the association of Vitamin D with susceptibility to systemic sclerosis and disease presentation.
Article Synopsis
- Several studies have looked into the link between certain HLA Class II genes and the skin conditions bullous pemphigoid (BP) and mucous membrane pemphigoid (MMP), but their findings have been inconsistent and more investigation on study differences is needed.
- A comprehensive review and meta-analysis of prior studies revealed that specific alleles (DQB1*0301, DRB1*1101, and others) significantly increase the risk for pemphigoid, especially when triggered by certain medications.
- Additionally, the DQA1*0201 allele appears to reduce the risk of developing pemphigoid, indicating a potential protective effect against the disease.
Article Synopsis
- - The review focused on the impact of four specific single nucleotide polymorphisms (SNPs) in the CTLA-4 gene on the risk of developing pemphigus, an autoimmune skin disease.
- - An extensive literature search was conducted across several databases, and meta-analyses determined that the SNPs rs5742909*C and rs733618*C significantly increased the risk of pemphigus, while the other two SNPs did not.
- - The findings indicate a potential genetic link to pemphigus susceptibility, with implications for understanding the disease's biological mechanisms.
Background: Screening for latent tuberculosis infection using Interferon-Gamma Release Assays is a routine procedure prior to the initiation of anti-tumor necrosis factor (TNF) biotherapy or immunosuppressive therapy. However, indeterminate results are relatively frequent and are an obstacle to treatment initiation.
Aim: The aim of this cross-sectional study was to estimate the frequency of indeterminate QuantiFERON-TB Gold Plus test results in Tunisian patients, and to analyze the potential clinico-biological risk factors associated with these indeterminate results.
Article Synopsis
- Epilepsy is a neurological disorder that causes unpredictable seizures, increasing health risks for patients.
- The study introduces a novel method called Deep Embedded Gaussian Mixture (DEGM) for detecting seizures through EEG data, combining deep learning techniques with clustering algorithms.
- Results show DEGM significantly improves seizure detection performance on large datasets, offering better outcomes for patients and advancing research in this area.