Evidence map›Paper›PMID 42707890›Full record

ArticleFrontiers in microbiology2026

Deciphering the genomic landscape of novel

Subhasree Roy, Daichi Morita, Tanusree Das, Sanjib Das, Souvik Nandy, Bijan Saha, Sulagna Basu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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

7 authors.

Subhasree RoyDivision of Bacteriology, ICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, India.
Daichi MoritaDepartment of Microbiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Tanusree DasDivision of Bacteriology, ICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, India.
Sanjib DasDivision of Bacteriology, ICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, India.
Souvik NandyDivision of Bacteriology, ICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, India.
Bijan SahaDepartment of Neonatology, Institute of Post-Graduate Medical Education & Research and SSKM Hospital, Kolkata, India.
Sulagna BasuDivision of Bacteriology, ICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Anb isolates from neonatal blood cultures (2007-2025) were identified by VITEK2 Compact system, MALDI-TOF MS, and Whole-genome sequencing (WGS). Antimicrobial susceptibility was tested by VITEK2. Genomic analysis included MLST, resistome, virulome, plasmid typing, integrons, and core-genome phylogeny analysis. Results: Anb infections were low (11%) among the neonates during the study period. WGS revealed 11 novel Sequence Types (STs) which include Conclusion: These results indicate the multifactorial nature of Anb pathogenicity and the current limitations of knowledge of its VFs. However, the presence of numerous VFs suggests a capacity to cause disease, particularly in vulnerable host populations such as neonates. Furthermore, the presence of multiple ARGs indicates a strong potential for persistence and dissemination in hospital environments with high antibiotic pressure. Overall, these findings underscore the importance of continued AMR surveillance, genome characterization and further investigations into Anb pathogenicity.

Indexed as

Acinetobacter non-baumanniicarbapenem resistanceIndiaNDM-1novel sequence typeOXA-58-likevirulenceWGS

Identifiers

PMID42707890
PMCPMC13548351

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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.