Browsing by Author "Asbaita, Mohamed"

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In Silico Analysis of Publicly Available Transcriptomic Data for the Identification of Triple-Negative Breast Cancer-Specific Biomarkers
(2023) Kaddoura, Rachid; Alqutami, Fatma; Asbaita, Mohamed; Hachim, Mahmood Yaseen
Background: Breast cancer is the most common type of cancer among women and is classified into multiple subtypes. Triple-negative breast cancer (TNBC) is the most aggressive subtype, with high mortality rates and limited treatment options such as chemotherapy and radiation. Due to the heterogeneity and complexity of TNBC, there is a lack of reliable biomarkers that can be used to aid in the early diagnosis and prognosis of TNBC in a non-invasive screening method. Aim: This study aims to use in silico methods to identify potential biomarkers for TNBC screening and diagnosis, as well as potential therapeutic markers. Methods: Publicly available transcriptomic data of breast cancer patients published in the NCBI’s GEO database were used in this analysis. Data were analyzed with the online tool GEO2R to identify differentially expressed genes (DEGs). Genes that were differentially expressed in more than 50% of the datasets were selected for further analysis. Metascape, Kaplan-Meier plotter, cBioPortal, and the online tool TIMER were used for functional pathway analysis to identify the biological role and functional pathways associated with these genes. Breast Cancer Gene-Expression Miner v4.7 was used to validify the obtained results in a larger cohort of datasets. Results: A total of 34 genes were identified as differentially expressed in more than half of the datasets. The DEG GATA3 had the highest degree of regulation, and it plays a role in regulating other genes. The estrogen-dependent pathway was the most enriched pathway, involving four crucial genes, including GATA3. The gene FOXA1 was consistently down-regulated in TNBC in all datasets. Conclusions: The shortlisted 34 DEGs will aid clinicians in diagnosing TNBC more accurately as well as developing targeted therapies to improve patient prognosis. In vitro and in vivo studies are further recommended to validate the results of the current study.
Post-Meningitic Syndrome: Pathophysiology and Consequences of Streptococcal Infections on the Central Nervous System.
(2024-10-15) Kaddoura, Rachid; Abdalbari, Karim; Badla, Beshr Abdulaziz; Hijleh, Amin Abu; Hanifa, Mohamed; AlAshkar, Masa; Asbaita, Mohamed; Othman, Deema; Faraji, Hanan; AlBakri, Orjwan; Tahlak, Sara; Hijleh, Amir Abu; Kabbani, Raneem; Resen, Murtadha; Du Plessis, Stefan S; Omolaoye, Temidayo S
Streptococcus species represent a significant global cause of meningitis, leading to brain damage through bacterial virulence factors and the host inflammatory response. Upon entering the central nervous system (CNS), excessive inflammation leads to various neurological and psychological complications. This review explores the pathophysiological mechanisms and associated outcomes of streptococcal meningitis, particularly its short- and long-term neurological sequelae. Neurological symptoms, such as cognitive impairment, motor deficits, and sensory loss, are shown to vary in severity, with children being particularly susceptible to lasting complications. Among survivors, hearing loss, cognitive decline, and cranial nerve palsies emerge as the most frequently reported complications. The findings highlight the need for timely intervention, including neurorehabilitation strategies that focus on optimizing recovery and mitigating long-term disabilities. Future recommendations emphasize improving early diagnosis, expanding vaccine access, and personalizing rehabilitation protocols to enhance patient outcomes. As a novel contribution, this review proposes the term "post-meningitic syndrome" to showcase the broad spectrum of CNS complications that persist following streptococcal meningitis, providing a framework for a future clinical and research focus.