Evidence map›Paper›PMID 17329454›Full record

ArticleJournal of clinical microbiology2007

Genotyping of Candida orthopsilosis clinical isolates by amplification fragment length polymorphism reveals genetic diversity among independent isolates and strain maintenance within patients.

Arianna Tavanti, Lambert A M Hensgens, Emilia Ghelardi, Mario Campa, Sonia Senesi

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

44 citing papers in PubMed, 114 citations in OpenAlex.

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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 1 institution in 1 country.

Arianna TavantiDipartimento di Biologia, Università di Pisa, Pisa, Italy. atavanti@biologia.unipi.it
Lambert A M Hensgens
Emilia Ghelardi
Mario Campa
Sonia Senesi
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Candida parapsilosis former groups II and III have recently been established as independent species named C. orthopsilosis and C. metapsilosis, respectively. In this report, 400 isolates (290 patients) previously classified as C. parapsilosis by conventional laboratory tests were screened by BanI digestion profile analysis of the secondary alcohol dehydrogenase gene fragment and by amplification fragment length polymorphism (AFLP). Thirty-three strains collected from 13 patients were identified as C. orthopsilosis, thus giving the first retrospective evidence that C. orthopsilosis was responsible for 4.5% of the infections/colonization attributed to C. parapsilosis. AFLP was proven to unambiguously identify C. orthopsilosis at the species level and efficiently delineate intraspecific genetic relatedness. A high percentage of polymorphic AFLP bands was observed for independent isolates collected from each patient. Statistical analysis of the pairwise genetic distances and bootstrapping revealed that clonal reproduction and recombination both contribute to C. orthopsilosis genetic population structure. AFLP patterns of sequential isolates obtained from two patients demonstrated that a successful strain colonization within the same patient occurred, as revealed by strain maintenance in various body sites. No association between AFLP markers and drug resistance was observed, and none of the clinical C. orthopsilosis isolates were found to produce biofilm in vitro.

Indexed as

Genetic VariationAntifungal AgentsBiofilmsCandidaCandidiasisDrug Resistance, FungalHumansNucleic Acid Amplification TechniquesPhylogenySpecies SpecificityAntifungal Agents

Identifiers

PMID17329454
PMCPMC1865889
OpenAlexW2111592448

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.