Evidence map›Paper›PMID 37153161›Full record

ArticleFrontiers in cellular and infection microbiology2023

Genomic features, antimicrobial susceptibility, and epidemiological insights into

Tanu Saroha, Prashant P Patil, Rekha Rana, Rajesh Kumar, Sanjeet Kumar, Lipika Singhal, Vikas Gautam, Prabhu B Patil

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Mixed infection withFrontiers in medicine · 2026
    Article
  3. Review
  4. In vitro susceptibility ofNew microbes and new infections · 2025
    Review
  5. Article
  6. Article
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.

Tanu SarohaBacterial Genomics and Evolution Laboratory, Council of Scientific and Industrial Research (CSIR)-Institute of Microbial Technology, Chandigarh, India.
Prashant P PatilBacterial Genomics and Evolution Laboratory, Council of Scientific and Industrial Research (CSIR)-Institute of Microbial Technology, Chandigarh, India.
Rekha RanaBacterial Genomics and Evolution Laboratory, Council of Scientific and Industrial Research (CSIR)-Institute of Microbial Technology, Chandigarh, India.
Rajesh KumarDepartment of Medical Microbiology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Sanjeet KumarBacterial Genomics and Evolution Laboratory, Council of Scientific and Industrial Research (CSIR)-Institute of Microbial Technology, Chandigarh, India.
Lipika SinghalDepartment of Microbiology, Government Medical College and Hospital, Chandigarh, India.
Vikas GautamDepartment of Medical Microbiology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Prabhu B PatilBacterial Genomics and Evolution Laboratory, Council of Scientific and Industrial Research (CSIR)-Institute of Microbial Technology, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: Whole-genome sequences of 35 CC31 isolates obtained from patient samples, were analyzed against available 210 CC31 genomes in the NCBI database to glean details of resistance, virulence, mobile elements, and phylogenetic markers to study genomic diversity and evolution of CC31 lineage in India. Results: Genomic analysis revealed that 35 isolates belonging to CC31 were categorized into 11 sequence types (ST), of which five STs were reported exclusively from India. Phylogenetic analysis classified 245 CC31 isolates into eight distinct clades (I-VIII) and unveiled that NCF isolates are evolving independently from the global cystic fibrosis (CF) isolates forming a distinct clade. The detection rate of seven classes of antibiotic-related genes in 35 isolates was 35 (100%) for tetracyclines, aminoglycosides, and fluoroquinolones; 26 (74.2%) for sulphonamides and phenicols; 7 (20%) for beta-lactamases; and 1 (2.8%) for trimethoprim resistance genes. Additionally, 3 (8.5%) NCF isolates were resistant to disinfecting agents and antiseptics. Antimicrobial susceptibility testing revealed that majority of NCF isolates were resistant to chloramphenicol (77%) and levofloxacin (34%). NCF isolates have a comparable number of virulence genes to CF isolates. A well-studied pathogenicity island of Discussion: The study reveals a high diversity of CC31 lineages among

Indexed as

Anti-Infective AgentsBurkholderia cenocepaciaBurkholderia cepacia complexBurkholderia InfectionsSepsisFibrosisGenomicsHumansPhylogenyAnti-Infective Agentsantibiotic resistanceBurkholderia cenocepacia clonal complex 31evolutionmobile genetic elementspangenomicssequence typesvirulence genes

Identifiers

PMID37153161
PMCPMC10155701

What OpenQuestion holds

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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 OpenQuestion graph.