ArticleBMC infectious diseases2025
Prevalence, identification of virulence genes, and antibiotic resistance properties of Shiga-toxin producing Escherichia coli (STEC) strains isolated from ice cream and juice in sales centers.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Whole-Genome Sequencing ofMicroorganisms · 2026Article
- Molecular detection, serotyping, cytotoxicity, and antimicrobial resistance of STEC and EPEC isolated from milk and milk products in northern India.Frontiers in microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveContaminated food with Shiga-toxin producing Escherichia coli (STEC) can cause diarrhea and severe diseases in consumers. This study aimed to assess the phenotypic and genotypic characteristics of virulence and antibiotic resistance genes in STEC strains isolated from various types of ice cream and fruit juice sold in Isfahan, Iran.
methodsFrom March 2023 to March 2024, 500 samples-including traditional ice cream (100), industrial ice cream (100), frozen ice cream (100), traditional juice (100), and industrial juice (100)-were collected. Samples were analyzed using biochemical and molecular methods for STEC detection. Antibiotic sensitivity was evaluated using the disc diffusion method against 14 antibiotics. Specific primers were used to identify antibiotic resistance and virulence genes.
resultsAmong the 500 samples, 52 (10.42%) were E. coli positive, with the highest prevalence found in traditional juice (20%) and traditional ice cream (15%). The pathogenic subtype, particularly enterohemorrhagic E. coli (EHEC), was most common in traditional juice (75% of positive samples) and traditional ice cream (66.66%). High antibiotic resistance rates were observed against ampicillin (86.53%), tetracycline (76.92%), and sulfamethoxazole (73.07%), while the lowest resistance was recorded for imipenem (7.69%). The most frequently detected antibiotic resistance genes were aadA1 (76.92%), tetA (57.69%), and sul1 (55.76%). Key virulence genes included stx1, stx2, and eaeA.
conclusionThese findings emphasize the public health risks associated with STEC contamination in food products and the need for stricter food safety measures and antibiotic stewardship programs. These findings highlight the public health risks of STEC contamination in food products, particularly traditional ice cream and juice. Localized studies are essential to understand specific risks and inform targeted interventions. Strategies such as improved hygiene practices, stringent food safety regulations, and effective antibiotic stewardship programs are critical to mitigating the threat posed by STEC in food products.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.