Evidence map›Paper›PMID 41928146›Full record

ArticleBMC infectious diseases2026

Pathoadaptive evolution and clonal dissemination of community- associated methicillin-resistant Staphylococcus aureus in Egypt.

Nehal A Saif, Reem A Elghaish, Eman Badr, Shaimaa F Mouftah, Sherine M Shawky, Ben Pascoe, Samuel K Sheppard, Mohamed Elhadidy

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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nehal A Saif *Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt.
Reem A Elghaish *Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt.
Eman BadrCenter for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt.
Shaimaa F MouftahCenter for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt.
Sherine M ShawkyDepartment of Microbiology, Medical Research Institute, Alexandria University, Alexandria, Egypt.
Ben PascoeIneos Oxford Institute for Antimicrobial Research, Department of Biology, University of Oxford, Oxford, UK.
Samuel K SheppardIneos Oxford Institute for Antimicrobial Research, Department of Biology, University of Oxford, Oxford, UK.
Mohamed ElhadidyCenter for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt. melhadidy@zewailcity.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStaphylococcus aureus is a major public health concern and is classified as a priority pathogen by the World Health Organization (WHO) with the global rise of methicillin-resistant S. aureus (MRSA) infections. Community-associated MRSA (CA-MRSA) strains have become increasingly important in both community and healthcare settings. This study aimed to investigate the genomic diversity, evolution, resistome, and virulome of CA-MRSA isolates circulating in Egypt to better understand their persistence, adaptation, and public health implications.

methodsA total of 123 CA-MRSA isolates were collected from clinical settings in Alexandria, Egypt. Methicillin resistance was first determined phenotypically using cefoxitin resistance, followed by genotypic confirmation through detection of the mecA gene.Whole-genome sequencing and comparative genomic analyses were performed to characterize sequence types, clonal complexes, SCCmec elements, resistance determinants, and virulence factors. Phylogenetic relationships were reconstructed to assess evolutionary divergence, and network analysis was used to explore associations between resistance and virulence gene profiles.

resultsEight distinct clonal complexes (CCs) were identified, dominated by CC121-SCCmecV (15%), CC1-SCCmecV (14%), CC15-SCCmecV (9%), CC1-SCCmecVI (7%), and CC8-SCCmecV (6%). Five novel sequence types (ST8157–ST8161) were discovered and deposited in pubMLST, indicating ongoing local evolution. Within CC8, two divergent lineages (ST239 and ST8) harbored unique SCCmec elements, reflecting significant phylogenetic differentiation. Globally important epidemic clones such as ST239-III-MRSA and ST22-IV-MRSA (EMRSA-15) were also detected. Network analysis revealed broad ecological adaptability, with livestock-associated CC97 and healthcare-associated CC5 harboring genes for immune evasion and biofilm formation. The detection of yopB in CC97 and yscT in CC5, genes typically found in Yersinia species, suggests horizontal gene transfer as a mechanism of adaptation. The high prevalence of fosB (fosfomycin resistance) and elevated fusidic acid resistance (39%) further underscores the emergence of multidrug resistance.

conclusionsThis large-scale genomic analysis reveals the coexistence of globally disseminated and locally evolved CA-MRSA lineages in Egypt. The findings underscore the adaptive potential of Egyptian MRSA populations and their contribution to regional AMR dynamics. Continued genomic surveillance within a One Health framework is essential for monitoring MRSA evolution, informing control measures, and mitigating the spread of resistance in both community and clinical settings. CLINICAL TRIAL: Not applicable.

Indexed as

Community-Acquired InfectionsMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsBacterial ProteinsEgyptEvolution, MolecularGenetic VariationGenotypeHumansMicrobial Sensitivity TestsPhylogenyVirulence FactorsWhole Genome SequencingAnti-Bacterial AgentsBacterial ProteinsVirulence FactorsAntimicrobial resistanceClonal disseminationCommunity-acquired MRSA (CA-MRSA)Genomic adaptationResistomeVirulome

Identifiers

PMID41928146
PMCPMC13064219

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.