Evidence map›Paper›PMID 22075599›Full record

ArticleJournal of clinical microbiology2012

Identification of Escherichia coli genes associated with urinary tract infections.

Bin-Hsu Mao, Yung-Fu Chang, Joy Scaria, Chih-Ching Chang, Li-Wei Chou, Ni Tien, Jiunn-Jong Wu, Chin-Chung Tseng, Ming-Cheng Wang, Chao-Chin Chang and 2 more

Abstract readComparative Study
In one paragraph

Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Biofilm Formation byMicroorganisms · 2023
    Article
  6. Article
  7. Article
  8. Chicken Production and Human ClinicalApplied and environmental microbiology · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Association of Antibiotic Resistance Traits in UropathogenicThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genomic epidemiology ofMicrobial genomics · 2021
    Article
  19. Article
  20. 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

12 authors.

Bin-Hsu MaoInstitute of Molecular Medicine, National Cheng Kung University Medical College, Tainan City, Taiwan.
Yung-Fu Chang
Joy Scaria
Chih-Ching Chang
Li-Wei Chou
Ni Tien
Jiunn-Jong Wu
Chin-Chung Tseng
Ming-Cheng Wang
Chao-Chin Chang
Yuan-Man Hsu
Ching-Hao Teng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli is the most common cause of urinary tract infections (UTIs). E. coli genes epidemiologically associated with UTIs are potentially valuable in developing strategies for treating and/or preventing such infections as well as differentiating uropathogenic E. coli from nonuropathogenic E. coli. To identify E. coli genes associated with UTIs in humans, we combined microarray-based and PCR-based analyses to investigate different E. coli source groups derived from feces of healthy humans and from patients with cystitis, pyelonephritis, or urosepsis. The cjrABC-senB gene cluster, sivH, sisA, sisB, eco274, and fbpB, were identified to be associated with UTIs. Of these, cjrABC-senB, sisA, sisB, and fbpB are known to be involved in urovirulence in the mouse model of ascending UTI. Our results provide evidence to support their roles as urovirulence factors in human UTIs. In addition, the newly identified UTI-associated genes were mainly found in members of phylogenetic groups B2 and/or D.

Indexed as

Genes, BacterialEscherichia coli InfectionsEscherichia coli ProteinsHumansMicroarray AnalysisPolymerase Chain ReactionUrinary Tract InfectionsUropathogenic Escherichia coliVirulence FactorsEscherichia coli ProteinsVirulence Factors

Identifiers

PMID22075599
PMCPMC3264149

What OpenQuestion holds

Textmetadata
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.