Evidence map›Paper›PMID 42129772›Full record

ArticleBMC oral health2026

Co-detection of antimicrobial resistance and virulence-associated determinants in Staphylococcus aureus isolated from radicular cysts in a post-disaster region of Türkiye.

Ahmet CanHaskan, Nizami Duran, Elif Yaprak Colak, Fariz Selimli, Sibel Dagli

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

No citing paper in PubMed yet.

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

5 authors.

Ahmet CanHaskanDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Hatay Mustafa Kemal University, Antakya, Hatay, 31060, Türkiye.
Nizami DuranDepartment of Medical Microbiology, Faculty of Medicine, Hatay Mustafa Kemal University, Antakya, Hatay, 31060, Türkiye. nduran@mku.edu.tr.ORCID 0000-0002-2766-3491
Elif Yaprak ColakDepartment of Medical Microbiology, Faculty of Medicine, Hatay Mustafa Kemal University, Antakya, Hatay, 31060, Türkiye.
Fariz SelimliDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Hatay Mustafa Kemal University, Antakya, Hatay, 31060, Türkiye.
Sibel DagliDepartment of Medical Microbiology, Faculty of Medicine, Hatay Mustafa Kemal University, Antakya, Hatay, 31060, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadicular cysts are among the most common chronic odontogenic lesions, yet the molecular mechanisms of resistance and virulence of their microbial flora remain incompletely defined. Following the 2023 earthquakes in Hatay, Türkiye, medical facilities were severely disrupted, creating a post-disaster clinical setting. This cross-sectional, isolate-based study descriptively evaluated antimicrobial resistance phenotypes and selected virulence-associated genes among S. aureus isolates recovered from radicular cyst infections in this setting.

methodsA total of 225 clinical S. aureus isolates were recovered from surgically excised radicular cysts. Antimicrobial susceptibility testing was performed by disk diffusion according to CLSI guidelines. Eleven selected targets, including mecA and virulence-associated genes (hla, hlb, pvl, fnbA, fnbB, clfA, cna, ebpS, bbp), together with 16S rRNA for species confirmation, were detected by PCR. Pairwise and higher-level co-occurrence analyses were used to describe gene co-detection patterns. Associations between resistance categories and gene positivity were evaluated using Fisher's exact test or chi-square test, as appropriate.

resultsResistance to one, two, and three or more antimicrobial classes was observed in 45.3%, 32.9%, and 21.8% of isolates, respectively. MecA positivity was more frequent in isolates with higher resistance categories, increasing from 4.9% in single-class-resistant isolates to 30.6% in multidrug-resistant (MDR) isolates (p < 0.001). Among the selected virulence-associated genes, fnbA (58.7%), hla (52.9%), and cna (45.8%) were most frequently detected. MDR isolates showed higher detection frequencies of hla (85.7%), fnbA (81.6%), and cna (73.5%) than lower resistance categories. Although pvl was detected in only 8.0% of isolates overall, it was more frequently detected among MDR isolates. Co-occurrence analysis identified recurrent gene co-detection patterns involving adhesion- and hemolysin-associated genes, most commonly fnbA-cna, hla-fnbA, and hla-cna. Higher-order gene combinations (≥ 4 genes) were uncommon and reflected isolates that simultaneously carried multiple virulence-associated genes.

conclusionsIn this isolated collection, multidrug resistance was associated with more frequent detection of selected virulence-associated genes in cyst-derived S. aureus isolates. The results may be relevant for the combined use of phenotypic susceptibility testing and molecular detection of major resistance markers, particularly mecA, in laboratory characterization of isolates. Because the study lacked a pre-disaster comparator and external control group, the recorded patterns cannot be attributed to the disaster context; rather, they provide descriptive baseline data from a post-disaster clinical setting.

Indexed as

Drug Resistance, BacterialStaphylococcus aureusVirulence FactorsAnti-Bacterial AgentsBacterial ProteinsCross-Sectional StudiesHumansMicrobial Sensitivity TestsPenicillin-Binding ProteinsVirulenceAnti-Bacterial AgentsBacterial ProteinsPenicillin-Binding ProteinsVirulence FactorsAntimicrobial resistancePost-disaster microbiologyRadicular cystsStaphylococcus aureusVirulence genes

Identifiers

PMID42129772
PMCPMC13371249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.