Evidence map›Paper›PMID 30059541›Full record

ArticlePloS one2018

Molecular characterization of Treponema pallidum subsp. pallidum in Switzerland and France with a new multilocus sequence typing scheme.

Linda Grillová, Tanika Bawa, Lenka Mikalová, Angèle Gayet-Ageron, Kay Nieselt, Michal Strouhal, Patrice Sednaoui, Tristan Ferry, Matthias Cavassini, Stephan Lautenschlager and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 85 citations in OpenAlex.

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  13. Molecular investigation ofMicrobiology spectrum · 2024
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  19. Treponema pallidum SubspeciesMicrobiology spectrum · 2022
    Article
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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

18 authors at 10 institutions in 5 countries.

Linda GrillováDepartment of Biology, Masaryk University, Brno, Czech Republic.
Tanika BawaDepartment of Fundamental Neuroscience, University of Geneva, Geneva, Switzerland.
Lenka MikalováDepartment of Biology, Masaryk University, Brno, Czech Republic.
Angèle Gayet-AgeronDivision of Clinical Epidemiology, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland.ORCID 0000-0002-6164-9693
Kay NieseltCenter for Bioinformatics, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-1283-7065
Michal StrouhalDepartment of Biology, Masaryk University, Brno, Czech Republic.
Patrice SednaouiMedical Biology, Institute Alfred Fournier, Paris, France.
Tristan FerryHospices civils de Lyon, Lyon, France.
Matthias CavassiniDepartment of Infectious Diseases, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Stephan LautenschlagerDepartment of Dermatology, Triemlispital, Zurich, Switzerland.
Fabrizio DutlyIMD Institut für medizinische & molekulare Diagnostik AG, Zurich, Switzerland.ORCID 0000-0002-6507-1235
Marta Pla-DíazUnidad Mixta Infección y Salud Pública FISABIO/Universidad de Valencia, CIBER in Epidemiology and Public Health, Valencia, Spain.ORCID 0000-0002-5746-1823
Michael KrützenDepartment of Anthropology, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-1055-5299
Fernando González-CandelasUnidad Mixta Infección y Salud Pública FISABIO/Universidad de Valencia, CIBER in Epidemiology and Public Health, Valencia, Spain.ORCID 0000-0002-0879-5798
Homayoun C BagheriRepsol Technology Center, Madrid, Spain.
David ŠmajsDepartment of Biology, Masaryk University, Brno, Czech Republic.ORCID 0000-0002-4176-3464
Natasha AroraInstitute for Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
Philipp P BosshardDepartment of Dermatology, University Hospital Zurich, Zurich, Switzerland.
Masaryk University · CZUniversity of Zurich · CHUniversitat de València · ESUniversity of Geneva · CHHospices Civils de Lyon · FRInstitut Alfred Fournier · FRRepsol (Spain) · ESTriemli Hospital · CHUniversity Hospital of Lausanne · CHUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syphilis is an important public health problem and an increasing incidence has been noted in recent years. Characterization of strain diversity through molecular data plays a critical role in the epidemiological understanding of this re-emergence. We here propose a new high-resolution multilocus sequence typing (MLST) scheme for Treponema pallidum subsp. pallidum (TPA). We analyzed 30 complete and draft TPA genomes obtained directly from clinical samples or from rabbit propagated strains to identify suitable typing loci and tested the new scheme on 120 clinical samples collected in Switzerland and France. Our analyses yielded three loci with high discriminatory power: TP0136, TP0548, and TP0705. Together with analysis of the 23S rRNA gene mutations for macrolide resistance, we propose these loci as MLST for TPA. Among clinical samples, 23 allelic profiles as well as a high percentage (80% samples) of macrolide resistance were revealed. The new MLST has higher discriminatory power compared to previous typing schemes, enabling distinction of TPA from other treponemal bacteria, distinction between the two main TPA clades (Nichols and SS14), and differentiation of strains within these clades.

Indexed as

AllelesAnti-Bacterial AgentsDNA, BacterialFranceGenome, BacterialGenotypeGlobus PallidusMacrolidesMultilocus Sequence TypingPhylogenyPolymorphism, Single NucleotideRNA, Ribosomal, 23SSequence Analysis, DNASwitzerlandSyphilisTreponema pallidumAnti-Bacterial AgentsDNA, BacterialMacrolidesRNA, Ribosomal, 23S

Identifiers

PMID30059541
PMCPMC6066202
OpenAlexW2886890139

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.