Evidence map›Paper›PMID 24884375›Full record

ArticleBMC microbiology2014

Multilocus sequence typing and ftsI sequencing: a powerful tool for surveillance of penicillin-binding protein 3-mediated beta-lactam resistance in nontypeable Haemophilus influenzae.

Dagfinn Skaare, Inger Lill Anthonisen, Dominique A Caugant, Andrew Jenkins, Martin Steinbakk, Linda Strand, Arnfinn Sundsfjord, Yngvar Tveten, Bjørn-Erik Kristiansen

Abstract read
In one paragraph

Article in BMC microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Epidemiology of invasive Haemophilus influenzae infections in Belgium: 2018-2022.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  3. Genomic profiling of cefotaxime-resistantFrontiers in microbiology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Can non-typeablePediatric investigation · 2023
    Article
  8. National Danish surveillance of invasive clinicalFrontiers in microbiology · 2023
    Article
  9. Access microbiology · 2023
    Article
  10. Frontiers in microbiology · 2023
    Article
  11. Article
  12. Characterization ofLife (Basel, Switzerland) · 2021
    Article
  13. Haemophilus influenzae one day in Denmark: prevalence, circulating clones, and dismal resistance to aminopenicillins.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  14. Polymorphism ofNew microbes and new infections · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

9 authors.

Dagfinn SkaareDepartment of Microbiology, Vestfold Hospital Trust, Tønsberg, Norway. dagfinn.skaare@siv.no.
Inger Lill Anthonisen
Dominique A Caugant
Andrew Jenkins
Martin Steinbakk
Linda Strand
Arnfinn Sundsfjord
Yngvar Tveten
Bjørn-Erik Kristiansen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeta-lactam resistance in Haemophilus influenzae due to ftsI mutations causing altered penicillin-binding protein 3 (PBP3) is increasing worldwide. Low-level resistant isolates with the N526K substitution (group II low-rPBP3) predominate in most geographical regions, while high-level resistant isolates with the additional S385T substitution (group III high-rPBP3) are common in Japan and South Korea.Knowledge about the molecular epidemiology of rPBP3 strains is limited. We combined multilocus sequence typing (MLST) and ftsI/PBP3 typing to study the emergence and spread of rPBP3 in nontypeable H. influenzae (NTHi) in Norway.

resultsThe prevalence of rPBP3 in a population of 795 eye, ear and respiratory isolates (99% NTHi) from 2007 was 15%. The prevalence of clinical PBP3-mediated resistance to ampicillin was 9%, compared to 2.5% three years earlier. Group II low-rPBP3 predominated (96%), with significant proportions of isolates non-susceptible to cefotaxime (6%) and meropenem (20%). Group III high-rPBP3 was identified for the first time in Northern Europe.Four MLST sequence types (ST) with characteristic, highly diverging ftsI alleles accounted for 61% of the rPBP3 isolates. The most prevalent substitution pattern (PBP3 type A) was present in 41% of rPBP3 isolates, mainly carried by ST367 and ST14. Several unrelated STs possessed identical copies of the ftsI allele encoding PBP3 type A.Infection sites, age groups, hospitalization rates and rPBP3 frequencies differed between STs and phylogenetic groups.

conclusionsThis study is the first to link ftsI alleles to STs in H. influenzae. The results indicate that horizontal gene transfer contributes to the emergence of rPBP3 by phylogeny restricted transformation.Clonally related virulent rPBP3 strains are widely disseminated and high-level resistant isolates emerge in new geographical regions, threatening current empiric antibiotic treatment. The need of continuous monitoring of beta-lactam susceptibility and a global system for molecular surveillance of rPBP3 strains is underlined. Combining MLST and ftsI/PBP3 typing is a powerful tool for this purpose.

Indexed as

beta-Lactam ResistanceGenetic VariationAgedAged, 80 and overChild, PreschoolEpidemiological MonitoringFemaleGene Transfer, HorizontalHaemophilus InfectionsHaemophilus influenzaeHumansInfantJapanMaleMiddle AgedMolecular EpidemiologyPenicillin-Binding Proteins

Identifiers

PMID24884375
PMCPMC4039647

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.