Evidence map›Paper›PMID 28814976›Full record

ArticleGut pathogens2017

Analysis of proteomes released from in vitro cultured eight

Jiri Dresler, Marcela Krutova, Alena Fucikova, Jana Klimentova, Veronika Hruzova, Miloslava Duracova, Katerina Houdkova, Barbora Salovska, Jana Matejkova, Martin Hubalek and 3 more

Open access · goldAbstract read
In one paragraph

Article in Gut pathogens, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Diagnostic Methods ofAntibiotics (Basel, Switzerland) · 2021
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Iron Regulation inFrontiers in microbiology · 2018
    Article
  8. 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

13 authors at 3 institutions in 1 country.

Jiri DreslerMilitary Health Institute, Military Medical Agency, Tychonova 1, Prague, Czech Republic.ORCID 0000-0003-1449-6038
Marcela KrutovaDepartment of Medical Microbiology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, Prague, Czech Republic.
Alena FucikovaFaculty of Military Health Sciences, UoD, Hradec Kralove, Czech Republic.
Jana KlimentovaFaculty of Military Health Sciences, UoD, Hradec Kralove, Czech Republic.
Veronika HruzovaMilitary Health Institute, Military Medical Agency, Tychonova 1, Prague, Czech Republic.
Miloslava DuracovaFaculty of Military Health Sciences, UoD, Hradec Kralove, Czech Republic.
Katerina HoudkovaMilitary Health Institute, Military Medical Agency, Tychonova 1, Prague, Czech Republic.
Barbora SalovskaMilitary Health Institute, Military Medical Agency, Tychonova 1, Prague, Czech Republic.
Jana MatejkovaDepartment of Medical Microbiology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, Prague, Czech Republic.
Martin HubalekInstitute of Organic Chemistry and Biochemistry, Academy of Science, Prague, Czech Republic.
Petr PajerMilitary Health Institute, Military Medical Agency, Tychonova 1, Prague, Czech Republic.
Libor PisaMilitary Health Institute, Military Medical Agency, Tychonova 1, Prague, Czech Republic.
Otakar NycDepartment of Medical Microbiology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, Prague, Czech Republic.
Charles University · CZUniversity of Defence · CZCzech Academy of Sciences, Institute of Organic Chemistry and Biochemistry · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

resultsThe comparative semi-quantitative analyses enabled investigation of a total of 662 proteins. Both hierarchical clustering and principal component analysis (PCA) created eight distinctive groups. From these quantifiable proteins, 27 were significantly increased in functional annotations. Among them, several known factors connected with virulence were identified, such as toxin A, B, binary toxin, flagellar proteins, and proteins associated with Pro-Pro endopeptidase (PPEP-1) functional complex. Comparative analysis of protein expression showed a higher expression or unique expression of proteins linked to pathogenicity or iron metabolism in RTs 027 and 176 supporting their genetic relatedness and clinical importance at the proteomic level. Moreover, the absence of putative nitroreductase and the abundance of the Abc-type fe3+ transport system protein were observed as biomarkers for the RTs possessing binary toxin genes (027, 176 and 078). Higher expression of selected flagellar proteins clearly distinguished RTs 027, 176, 005 and 012, confirming the pathogenic role of the assembly in CDI. Finally, the histidine synthesis pathway regulating protein complex HisG/HisZ was observed only in isolates possessing the genes for toxin A and B.

conclusionsThis study showed the applicability of the LFQ approach and provided the first semi-quantitative insight into the proteomes released from in vitro cultured panel of eight RTs. The observed differences pointed to a new direction for studies focused on the elucidation of the mechanisms underlining the CDI nature.

Indexed as

Binary toxinClostridium difficileFlagellinsLabel-free quantificationPCR ribotype 027PCR ribotype 176ProteomeToxins A/B

Identifiers

PMID28814976
PMCPMC5556371
OpenAlexW2747990400

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.