Browsing by Author "Mahdi, Mohammed A."

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Detection of Nonsynonymous Single Variants in Human HLA-DRB1Exon2Associated with Renal Transplant Rejection
(Medicina, 2023) Hassan, Mohamed M.; Hussain, Mohamed A.; Ali, Sababil S.; Mahdi, Mohammed A.; Mohamed, Nouh Saad; AbdElbagi, Hanadi; Mohamed, Osama; Sherif, Asmaa E.; Osman, Wadah; Ibrahim, Sabrin R. M.; Ghazawi, Kholoud F.; Miski, Samar F.; Mohamed, Gamal A.; Ashour, Ahmed
Background: HLA-DRB1 is the most polymorphic gene in the human leukocyte antigen (HLA) class II, and exon 2 is critical because it encodes antigen-binding sites. This study aimed to detect functional or marker genetic variants of HLA-DRB1 exon 2 in renal transplant recipients (acceptance and rejection) using Sanger sequencing. Methods: This hospital-based case-control study collected samples from two hospitals over seven months. The 60 participants were equally divided into three groups: rejection, acceptance, and control. The target regions were amplified and sequenced by PCRandSanger sequencing. Several bioinformatics tools have been used to assess the impact of non-synonymous single-nucleotide variants (nsSNVs) on protein function and structure. The sequences data that support the findings of this study with accession numbers (OQ747803-OQ747862) are available in National Center for Biotechnology Information (GenBank database). Results: Seven SNVs were identified, two of which were novel (chr6(GRCh38.p12): 32584356C>A (K41N) and 32584113C>A (R122R)). Three of the seven SNVs were non-synonymous and found in the rejection group (chr6(GRCh38.p12): 32584356C>A (K41N), 32584304A>G (Y59H), and 32584152T>A (R109S)). The nsSNVs had varying effects on protein function, structure, and physicochemical parameters and could play a role in renal transplant rejection. The chr6(GRCh38.p12):32584152T>A variant showed the greatest impact. This is because of its conserved nature, main domain location, and pathogenic effects on protein structure, function, and stability. Finally, no significant markers were identified in the acceptance samples. Conclusion: Pathogenic variants can affect intramolecular/intermolecular interactions of amino acid residues, protein function/structure, and disease risk. HLA typing based on functional SNVs could be a comprehensive, accurate, and low-cost method for covering all HLA genes while shedding light on previously unknown causes in many graft rejection cases.
Integrating Artificial Intelligence in Snakebite Management: An Innovative Approach
(Migration Letters, 2024) Saeed, Ali Awadallah; Mahdi, Mohammed A.; Elalawy, Intisar A. M. A.; Alawad, Samia Saeed; Gibree, Omer Abdelhamid; Fahal, Ahmed Hassan
Snakebite envenomation poses a global health challenge that demands swift and efficient intervention. This communication delves into the potential of artificial intelligence (AI) to positively impact various aspects of snakebite management. AI introduces innovative solutions to augment snakebite management protocols' efficiency and effectiveness, from early detection and diagnosis to treatment planning and post-treatment monitoring. Moreover, this communication reviews ongoing research, addresses obstacles, and proposes future avenues for integrating AI in snakebite management. In proposing future avenues for incorporating AI in snakebite management, the communication envisions a collaborative effort between researchers, healthcare professionals, and technology developers. This synergy seeks to harness the full potential of AI in enhancing not only the efficiency and effectiveness of snakebite management but also the accessibility of advanced healthcare solutions to regions grappling with the burden of snakebite envenomation. As the exploration of AI applications in snakebite care continues to unfold, this communication stands as a catalyst for informed discourse, innovation, and, ultimately, a more resilient response to the global health challenge posed by snakebite envenomation.