Gastrointestinal pathogens in anti-FH antibody positive and negative Hemolytic Uremic Syndrome View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07

AUTHORS

Shambhuprasad K. Togarsimalemath, Ali Si-Mohammed, Mamta Puraswani, Aarti Gupta, Astrid Vabret, Sandrine Liguori, Patricia Mariani-Kurkdjian, Arvind Bagga, Marie-Agnes Dragon-Durey

ABSTRACT

BACKGROUND: Prodromal symptoms are frequently reported in the atypical form of Hemolytic uremic syndrome (aHUS) suggesting implication of infectious triggers. Some pathogens may also play a role in the mechanisms of production of autoantibody directed against Factor H (FH), a complement regulator, leading to aHUS. METHODS: The presence of 15 gastrointestinal (GI) pathogens was investigated by using xTAG-based multiplex PCR techniques on stools collected at the acute phase in a cohort of Indian HUS children classified according to the presence or absence of anti-FH autoantibodies. RESULTS: Prevalence of pathogens in patients with anti-FH antibody (62.5%) was twice that in those without (31.5%). Different pathogens were detected, the most frequent being Clostridium difficile, Giardia intestinalis, Salmonella, Shigella, Rotavirus, Norovirus and Entamoeba histolytica. No stool was positive for Shigatoxin. CONCLUSION: This study reveals a higher prevalence of GI pathogens in anti-FH positive than in negative patients. No single pathogen was implicated exclusively in one form of HUS. These pathogens may play a role in the disease initiation by inducing complement activation or an autoimmune response. More... »

PAGES

118-124

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41390-018-0009-9

DOI

http://dx.doi.org/10.1038/s41390-018-0009-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104155443

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29795200


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N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41390-018-0009-9'


 

This table displays all metadata directly associated to this object as RDF triples.

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