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Biology subjects

Abdelhakim, M.

Publications and source records attributed to Abdelhakim, M..

6 recordsLinked to original sources

MicroRNA regulation of stress-survival signalling and protein quality control in human heatstroke

Heatstroke is a life-threatening condition in which heat-shock and unfolded-protein responses are strongly activated but fail to prevent proteostasis disruption and severe cellular injury. Whether post-transcriptional regulation contributes to this mismatch remains unknown. We integrated small RNA sequencing with mRNA profiling in peripheral blood mononuclear cells from patients with classical heatstroke and matched heat-exposed controls recruited during the Hajj pilgrimage. mRNA profiling was performed in 19 cases and 19 controls, and miRNA sequencing in 17 cases and 16 controls from the same cohort. Differentially expressed miRNAs were integrated with 4,462 differentially expressed mRNAs using high-confidence inverse-expression miRNA-mRNA pairs. Twenty-six miRNAs mapped to 376 mRNA targets, forming 414 regulatory pairs and two opposing programmes. Programme A, comprising 16 downregulated miRNAs, was associated with activation of PI3K-mTOR, NRF2 oxidative stress and HIF-1 signalling, consistent with stress-survival signalling. Programme B, comprising 10 upregulated miRNAs, was associated with suppression of stress-granule components and fatty-acid {beta}-oxidation genes, consistent with impaired protein quality control and reduced metabolic flexibility. miR-92a-3p emerged as a central regulatory node, and its target PIK3R3 connected 9 of the 10 enriched pathways. These findings suggest a post-transcriptional regulatory layer that could contribute to the limited protection afforded by activated stress defences in human heatstroke. FundingKing Abdullah International Medical Research Center (RC18/373/R). Key pointsO_LIHeatstroke can occur even when major cellular stress defences are activated, raising the question of why heat-shock and unfolded-protein responses are insufficient to prevent injury under extreme heat. C_LIO_LITo understand this mismatch, we extend our previous human heatstroke transcriptomic study by analysing post-transcriptional regulation by microRNAs (miRNAs). C_LIO_LIThe miRNA-regulated network showed activation of stress-survival signalling pathways, including PI3K-mTOR, NRF2 and HIF-1, while stress-granule and fatty-acid {beta}-oxidation pathways were attenuated. C_LIO_LITranslation arrest was active but stress-granule signalling was suppressed. Normally, translation arrest generates pools of non-translating mRNAs that stress granules sort, store or return to translation when conditions improve; their uncoupling therefore suggests impaired coordination of the cellular stress response. C_LIO_LIThese findings suggest a post-transcriptional trade-off in human heatstroke, in which short-term stress-survival signalling is favoured at the cost of protein quality control, metabolic flexibility and recovery capacity under extreme heat. C_LI

physiology↗

Genomic surveillance of Methicillin Resistant Staphylococcus aureus in Saudi Arabia.

Methicillin-resistant Staphylococcus aureus (MRSA) surveillance in regions with mass gatherings presents unique challenges for public health systems. Saudi Arabia, hosting millions of pilgrims annually, provides a distinctive setting for studying how human mobility shapes bacterial populations, yet comprehensive genomic surveillance data from this region remains limited. Here, we present an integrated analysis of S. aureus isolates collected across seven Saudi Arabian regions, combining whole-genome sequencing with extensive antimicrobial susceptibility testing and standardized metadata following FAIR data principles. Our analysis revealed striking differences between pilgrimage and non-pilgrimage cities. Pilgrimage cities showed significantly higher genetic diversity and antimicrobial resistance rates, harboring numerous international strains including recognized clones from diverse geographic origins. Reported lineage dynamics is changing, expanding toward community clones. While genomic prediction of antimicrobial resistance showed high accuracy for some antibiotics, particularly beta-lactams, with varying performance for others, highlighting the necessity for phenotypic testing in clinical settings. Our findings demonstrate how mass gatherings drive bacterial population structures and emphasize the importance of integrated surveillance approaches in regions with significant global connectivity and travel. ImportanceGenomic data enables the tracking of pathogens by revealing clonal expansions within populations and identifying successful lineages. However, comprehensive national-level data from Saudi Arabia remains limited on a large scale. The adoption of FAIR principles and reproducible workflows ensures robust, consistent analysis, fostering effective data sharing. The OneHealth approachs success depends on the integration and collaboration across diverse domains in todays digital landscape.

genomics↗

Phased genome assemblies and pangenome graphs of human populations of Japan and Saudi Arabia

The selection of a reference sequence in genome analysis is critical, as it serves as the foundation for all downstream analyses. Recently, the pangenome graph has been proposed as a data model that incorporates haplotypes from multiple individuals. Here we present JaSaPaGe, a pangenome graph reference for Saudi Arabian and Japanese populations, both of which have been significantly underrepresented in previous genomic studies. We constructed JaSaPaGe from high-quality phased diploid assemblies which were made utilizing PacBio high-fidelity long reads, Nanopore long reads, and Hi-C short reads of 9 Saudi and 10 Japanese individuals. Quality evaluation of the pangenome graph by variant calling showed that our pangenome outperformed earlier linear reference genomes (GRCh38 and T2T-CHM13) and showed comparable performance to the pangenome graph provided by the Human Pangenome Reference Consortium (HPRC), with more variants found in Japanese and Saudi samples using their population-specific pangenomes. This pangenome reference will serve as a valuable resource for both the research and clinical communities in Japan and Saudi Arabia.

genomics↗

A personal, reference quality, fully annotated genome from a Saudi individual

We have used multiple sequencing approaches to sequence the genome of a volunteer from Saudi Arabia. We use the resulting data to generate a de novo assembly of the genome, and use different computational approaches to refine the assembly. As a consequence, we provide a contiguous assembly of the complete genome of an individual from Saudi Arabia for all chromosomes except chromosome Y, and label this assembly KSA001. We transferred genome annotations from reference genomes and predicted genome features using methods from Artificial Intelligence to fully annotate KSA001, and we make all primary sequencing data, the assembly, and the genome annotations freely available in public databases using the FAIR data principles.

bioinformatics↗

DDIEM: Drug Database for Inborn Errors of Metabolism

BackgroundInborn errors of metabolism (IEM) represent a subclass of rare inherited diseases caused by a wide range of defects in metabolic enzymes or their regulation. Of over a thousand characterized IEMs, only about half are understood at the molecular level, and overall the development of treatment and management strategies has proved challenging. An overview of the changing landscape of therapeutic approaches is helpful in assessing strategic patterns in the approach to therapy, but the information is scattered throughout the literature and public data resources. ResultsWe gathered data on therapeutic strategies for 299 diseases into the Drug Database for Inborn Errors of Metabolism (DDIEM). Therapeutic approaches, including both successful and ineffective treatments, were manually classified by their mechanisms of action using a new ontology. ConclusionsWe present a manually curated, ontologically formalized knowledgebase of drugs, therapeutic procedures, and mitigated phenotypes. DDIEM is freely available through a web interface and for download at http://ddiem.phenomebrowser.net.

bioinformatics↗

PathoPhenoDB: linking human pathogens to their disease phenotypes in support of infectious disease research

Understanding the relationship between the pathophysiology of infectious disease, the biology of the causative agent and the development of therapeutic and diagnostic approaches is dependent on the synthesis of a wide range of types of information. Provision of a comprehensive and integrated disease phenotype knowledgebase has the potential to provide novel and orthogonal sources of information for the understanding of infectious agent pathogenesis, and support for research on disease mechanisms. We have developed PathoPhenoDB, a database containing pathogen-to-phenotype associations. PathoPhenoDB relies on manual curation of pathogen-disease relations, on ontology-based text mining as well as manual curation to associate phenotypes with infectious disease. Using Semantic Web technologies, PathoPhenoDB also links to knowledge about drug resistance mechanisms and drugs used in the treatment of infectious diseases. PathoPhenoDB is accessible at http://patho.phenomebrowser.net/, and the data is freely available through a public SPARQL endpoint.

bioinformatics↗