Evidence map›Paper›PMID 35123505›Full record

Observational studyAnnals of clinical microbiology and antimicrobials2022

Genomic insights into virulence factors affecting tissue-invasive Klebsiella pneumoniae infection.

Takashi Matono, Masatomo Morita, Nodoka Nakao, Yuji Teshima, Makoto Ohnishi

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Annals of clinical microbiology and antimicrobials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
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

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Carriage of hypervirulent and ESBL-producingApplied and environmental microbiology · 2026
    Article
  4. [Clinical features and virulence gene distribution ofBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Case Study and Genomic Analysis of a Hypervirulent ST25Infection and drug resistance · 2024
    Article
  12. Genetic and Functional Analysis of theMicrobiology spectrum · 2023
    Article
  13. HypervirulentInfection and drug resistance · 2023
    Review
  14. Population dynamics and characteristics ofFrontiers in microbiology · 2023
    Article
  15. Epidemiological Features ofInfection and drug resistance · 2022
    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

5 authors at 2 institutions in 1 country.

Takashi MatonoDepartment of Infectious Diseases, Aso Iizuka Hospital, 3-83 Yoshio, Iizuka, Fukuoka, 820-8505, Japan. tmatonoh1@aih-net.com.
Masatomo MoritaDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.
Nodoka NakaoDepartment of Clinical Laboratory, Aso Iizuka Hospital, Fukuoka, Japan.
Yuji TeshimaDepartment of Clinical Laboratory, Aso Iizuka Hospital, Fukuoka, Japan.
Makoto OhnishiDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.
Aso Iizuka Hospital · JPNational Institute of Infectious Diseases · JP

Funding

aih clinical research grant 17182
6 · The paper itself

Abstract

backgroundThe key virulence factors responsible for hypervirulent Klebsiella pneumoniae (hvKp) infection remains elusive.

methodsWe analyzed K. pneumoniae isolates collected between 2017 and 2019 and defined hvKp as a pyogenic infection. Classical K. pneumoniae (cKp) involved a non-invasive infection or uncomplicated bacteremia. Isolates belonging to the K. pneumoniae species complex were excluded.

resultsWe analyzed 112 isolates, including 19 hvKp, 67 cKp, and 26 colonizers, using whole-genome sequencing. Population genomics revealed that the K1-sequence type (ST) 82 (O1v1) clade was distinct from that of the K1-ST23 (O1v2) clone. The virulence gene profiles also differed between K1-ST82 (aerobactin and rmpA) and K1-ST23 (aerobactin, yersiniabactin, salmochelin, colibactin, and rmpA/rmpA2). The K2 genotype was more diverse than that of K1. A neighboring subclade of K1-ST23 (comprising ST29, ST412, ST36, and ST268) showed multidrug resistance and hypervirulence potentials. Logistic-regression analysis revealed that diabetes mellitus was associated with K. pneumoniae infection (odds ratio [OR]: 4.11; 95% confidence interval [CI]: 1.14-14.8). No significant association was found between hvKp diagnosis and clinical characteristics, such as diabetes mellitus or community acquisition. However, the K1 genotype (OR: 9.02; 95% CI: 2.49-32.7; positive-likelihood ratio [LR]: 4.08), rmpA (OR: 8.26; 95% CI: 1.77-38.5; positive LR: 5.83), and aerobactin (OR: 4.59; 95% CI: 1.22-17.2; positive LR: 3.49) were substantial diagnostic predictors of hvKp.

conclusionsThe K1 genotype, rmpA, and aerobactin are prominent predictors of hvKp, suggesting that further pyogenic (metastatic) infection should be examined clinically. These findings may shed light on key hvKp virulence factors.

Indexed as

AgedAged, 80 and overBacterial ProteinsFemaleGenomicsHumansHydroxamic AcidsKlebsiella InfectionsKlebsiella pneumoniaeMaleRetrospective StudiesVirulenceVirulence FactorsWhole Genome SequencingaerobactinBacterial ProteinsHydroxamic AcidsRmpA protein, Klebsiella pneumoniaeVirulence FactorsAerobactinHypervirulent Klebsiella pneumoniaermpAVirulence factor

Identifiers

PMID35123505
PMCPMC8817621
OpenAlexW4210806719

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.