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Untargeted Multimodal Metabolomics Investigation of the Haemonchus contortus Exsheathment Secretome
N. Palevich, PH. Maclean, PM. Candy, W. Taylor, I. Mladineo, M. Cao
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
Grantová podpora
P17001
Agricultural and Marketing Research and Development Trust (AGMARDT) Postdoctoral Fel-lowship Programme
C10X1702
AgResearch Ltd. Strategic Science Investment Fund (SSIF)
NLK
Directory of Open Access Journals
od 2012
Free Medical Journals
od 2012
PubMed Central
od 2012
Europe PubMed Central
od 2012
ProQuest Central
od 2012-03-01
Open Access Digital Library
od 2012-01-01
Open Access Digital Library
od 2012-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2012
PubMed
36010603
DOI
10.3390/cells11162525
Knihovny.cz E-zdroje
- MeSH
- Haemonchus * MeSH
- hlístice * MeSH
- larva MeSH
- přežvýkavci MeSH
- sekretom MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
In nematodes that invade the gastro-intestinal tract of the ruminant, the process of larval exsheathment marks the transition from the free-living to the parasitic stages of these parasites. To investigate the secretome associated with larval exsheathment, a closed in vitro system that effectively reproduces the two basic components of an anaerobic rumen environment (CO2 and 39 °C) was developed to trigger exsheathment in one of the most pathogenic and model gastrointestinal parasitic nematodes, Haemonchus contortus (barber's pole worm). This study reports the use of multimodal untargeted metabolomics and lipidomics methodologies to identify the metabolic signatures and compounds secreted during in vitro larval exsheathment in the H. contortus infective third-stage larva (iL3). A combination of statistical and chemoinformatic analyses using three analytical platforms revealed a panel of metabolites detected post exsheathment and associated with amino acids, purines, as well as select organic compounds. The major lipid classes identified by the non-targeted lipidomics method applied were lysophosphatidylglycerols, diglycerides, fatty acyls, glycerophospholipids, and a triglyceride. The identified metabolites may serve as metabolic signatures to improve tractability of parasitic nematodes for characterizing small molecule host-parasite interactions related to pathogenesis, vaccine and drug design, as well as the discovery of metabolic biomarkers.
Citace poskytuje Crossref.org
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