Evidence map›Paper›PMID 34683478›Full record

ArticleMicroorganisms2021

The Shiga Toxin Receptor Globotriaosylceramide as Therapeutic Target in Shiga Toxin

Wouter J C Feitz, Romy Bouwmeester, Thea J A M van der Velden, Susan Goorden, Christoph Licht, Lambert P J W van den Heuvel, Nicole C A J van de Kar

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Redefining Shiga toxin-induced human cell death as NLRP1- and gasdermin E-mediated pyroptosis.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Modeling Shiga toxin-induced human renal-specific microvascular injury.Integrative biology : quantitative biosciences from nano to macro · 2024
    Article
  9. Review
  10. EnterohemorrhagicInternational journal of molecular sciences · 2022
    Review
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

7 authors at 3 institutions in 3 countries.

Wouter J C FeitzDepartment of Pediatrics, Amalia Children's Hospital, Radboudumc, 6525 GA Nijmegen, The Netherlands.
Romy BouwmeesterDepartment of Pediatrics, Amalia Children's Hospital, Radboudumc, 6525 GA Nijmegen, The Netherlands.
Thea J A M van der VeldenDepartment of Pediatrics, Amalia Children's Hospital, Radboudumc, 6525 GA Nijmegen, The Netherlands.
Susan GoordenLaboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Christoph LichtDepartment of Pediatric Nephrology, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada.ORCID 0000-0003-4168-3277
Lambert P J W van den HeuvelDepartment of Pediatrics, Amalia Children's Hospital, Radboudumc, 6525 GA Nijmegen, The Netherlands.
Nicole C A J van de KarDepartment of Pediatrics, Amalia Children's Hospital, Radboudumc, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-1990-1189
Radboud University Nijmegen · NLAmsterdam University Medical Centers · NLHospital for Sick Children · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 90% of the cases, childhood hemolytic uremic syndrome (HUS) is caused by an infection with the Shiga toxin (Stx) producing

Indexed as

eliglustatendothelial cellsglobotriaosylceramideglucosylceramide synthaseshiga toxinSTEC-HUS

Identifiers

PMID34683478
PMCPMC8537462
OpenAlexW3207033670

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.