ArticleBMC microbiology2016
Comparative study of Cronobacter identification according to phenotyping methods.
Article in BMC microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 41 citations in OpenAlex.
- Development and Application of a Species-Specific PCR Assay for the Detection of the Emerging Food-Borne Pathogen Cronobacter Sakazakii.Current microbiology · 2025Article
- A Comparison of Laser Light-Scattering and Analytical Profile Index Systems for Foodborne Bacteria Identification.Archives of Razi Institute · 2025Article
- Characterization ofFrontiers in microbiology · 2025Article
- Investigation of Carriers ofAnimals : an open access journal from MDPI · 2024Article
- Genomic Analysis ofInternational journal of molecular sciences · 2024Article
- Review
- Bacteremia caused by Enterobacter asburiae misidentified biochemically as Cronobacter sakazakii and accurately identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: a case report.Journal of medical case reports · 2022Article
- Occurrence, Virulence and Antimicrobial Susceptibility Profiles of Cronobacter spp. from Ready-to-Eat Foods.Current microbiology · 2021Article
- The Changing Face of the FamilyClinical microbiology reviews · 2021Review
- Profiling the Virulence and Antibiotic Resistance Genes ofFrontiers in microbiology · 2021Article
- Examining the Presence ofFood safety (Tokyo, Japan) · 2019Article
- Invasive Cronobacter species infection in infants and children admitted to a rural Kenyan hospital with a high prevalence of malnutrition.Paediatrics and international child health · 2018Article
- DNA sequence-based re-assessment of archived Cronobacter sakazakii strains isolated from dairy products imported into China between 2005 and 2006.BMC genomics · 2018Article
- Virulence and Antibiotic Resistance Profiles ofFrontiers in microbiology · 2018Article
- Article
- Ketogenic diet poses a significant effect on imbalanced gut microbiota in infants with refractory epilepsy.World journal of gastroenterology · 2017Article
- Novel Method for Reliable Identification of Siccibacter and Franconibacter Strains: from "Pseudo-Cronobacter" to New Enterobacteriaceae Genera.Applied and environmental microbiology · 2017Article
- DNA-Sequence Based Typing of theFrontiers in microbiology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMicrobiological criteria applied to powdered infant formula (PIF) require the absence of all Cronobacter spp. Consequently, misidentification of isolates from finished products can lead to significant financial losses for manufacturers and could increase the risk of neonatal infection. Biochemical identification of suspect isolates using commercially available test panels is recommended for use by PIF manufacturers by both the US FDA and ISO standard methods for Cronobacter species; however, phenotyping can be unreliable, particularly for a genus such as Cronobacter where the taxonomy has been subject to frequent changes. This study compared the predicted identification by commonly used phenotyping kits (API20E and ID32E) for over 240 strains of Cronobacter from diverse sources, which had been identified using DNA sequence analysis. In 2015, the databases associated with the API20E and ID32E biochemical test panels were updated, including the recognition of the Cronobacter genus. Thus, the identifications from multiple versions the databases were compared to each other and to identifications based on DNA sequencing methods.
resultsUsing previous versions of the API20E database, 90.0 % of strains (216/240) resulted in a match for the species identification; however, version 5.0 produced matches for only 82.3 % of strains (237/288). Similarly, the update to version 4.0 in the ID32E database caused the percentage of matches to drop from 88.9 % (240/270) to 43.2 % (139/322). A smaller study showed that the Vitek GN system identified all 14 strains, belonging all seven Cronobacter species, as members of the 'C. sakazakii group,' but also attributed three strains of Franconibacter helveticus and F. pulveris to this group. In silco analysis of a PCR-based method targeting ompA predicted that amplification would only occur with Cronobacter species and this method may be a feasible alternative to biochemical phenotyping.
conclusionsThese results indicate that commercially available biochemical test panels are not sufficiently reliable for speciation of Cronobacter isolates. Although DNA-sequence based methods would be the more reliable approach; however, this is not currently feasible for many food microbiology laboratories. Instead, a previously published PCR-based method targeting ompA is suggested as an alternative for identification of Cronobacter species based on in silico analysis.
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.