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Prevalence of antibiotic resistance genes bla-CTX-M, bla-SHV, bla-TEM in enterobacteria strains isolated from perinatal center patients

2022· article· en· W4284991212 on OpenAlexaff
A. V. Ustyuzhanin, G. N. Chistyakova, И. И. Ремизова, A. A. Makhanyok

Bibliographic record

VenueEpidemiology and Vaccinal Prevention · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsAntibioticsMicrobiologyAntibiotic resistanceKlebsiella pneumoniaBiologyGeneEscherichia coliMultiple drug resistanceBacteriaGenetics

Abstract

fetched live from OpenAlex

Relevance A common mechanism of resistance is the synthesis of enzymes that inactivate the antibiotic (AB). Since its discovery at the end of the 20th century, ESBLs have spread widely throughout the world. Representatives of this group of complex protein compounds have common properties of hydrolysis of ß-lactam antibiotics and differ from each other in amino acid sequence. The genetic determinants that determine their synthesis are the bla-CTX-M, bla-SHV, and bla-TEM genes. Aims. To assess the prevalence of bla-CTX-M, bla-SHV, bla-TEM genes in antibiotic-resistant strains of enterobacteria isolated from samples of patients of the perinatal center. Materials & Methods. We studied 135 strains of ESBL-producing enterobacteria isolated during microbiological monitoring from January 01, 2020 to December 31, 2021. Biological material (feces (92), blood (1), urine (5), cervical canal discharge (33), last (4)) came from patients of the perinatal center (43 women and 92 newborns), examined both for clinical indications and during local microbiological monitoring. Species identification of isolated microorganisms was carried out by bacteriological method, detection of antibiotic resistance genes was carried out using real-time PCR. Results. In 87 cases (64.4%), the studied genetic determinants of antibiotic resistance were successfully identified. Of the 26 studied strains of Klebsiella pneumonia, 24 (92.3%) were able to establish the determinants of resistance to AB, 50% of which are represented by bla-CTX-M. Out of 66 Escherichia coli, 59 (89.33%) had a genetic profile of antibiotic resistance, which was also dominated by bla-CTX-M (67.80%). However, in the Enterobacter cloacae group, it was possible to determine the presence of the studied genes only in 8.10% of cases. K. pneumoniae carrying three antibiotic resistance genes bla-CTX-M, bla-SHV, bla-TEM was isolated once from a sample of the cervical canal of a woman aged 27 years. E. coli strains carrying the CTX-M gene were isolated from 3 mother-child pairs out of 135 cases: in mothers – from the discharge of the cervical canal in the third trimester of pregnancy, in newborns – from feces in the first week of life, which can indicate possible transmission of an AB-resistant microorganism either in utero or through the birth canal. Conclusions. Thus, in the course of the study, determinants of antibiotic resistance of enterobacteria isolated from patients of the perinatal center were identified in 64.4% of cases. The dominant gene leading to the occurrence of AD among ESBL is the bla-CTX-M gene. The number of strains with an established genetic profile of resistance to AB is less among Enterobacter cloacae (p<0.001). In order to study the genetic profile in more detail and to identify the mechanisms for the formation of antibiotic resistance, it is necessary to expand the detection of observed genes

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.278
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2022
Admission routes1
Has abstractyes

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