SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Anstee Quentin M)
 

Sökning: WFRF:(Anstee Quentin M) > Metabolomics approa...

  • McGlinchey, Aidan J,1984-Örebro universitet,Institutionen för medicinska vetenskaper (författare)

Metabolomics approaches to identify biomarkers of nonalcoholic fatty liver disease

  • Artikel/kapitelEngelska2020

Förlag, utgivningsår, omfång ...

  • Elsevier,2020
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:oru-110181
  • https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-110181URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:vet swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Background and Aims: Nonalcoholic fatty liver disease (NAFLD) is a progressive liver disease that is strongly associated with type 2 diabetes. Accurate, non-invasive diagnostic tests to deliniate the different stages: degree of steatosis, grade of nonalcoholic steatohepatitis (NASH) and stage fibrosis represent an unmet medical need. In our previous studies, we successfully identified specific serum molecular lipid signatures which associate with the amount of liver fat as well as with NASH. Here we report underlying associations between clinical data, lipidomic profiles, metabolic profiles and clinical outcomes, including downstream identification of potential biomarkers for various stages of the disease.Method: We leverage several statistical and machine-learning approaches to analyse clinical, lipidomic and metabolomic profiles of individuals from the European Horizon 2020 project: Elucidating Pathways of Steatohepatitis (EPoS). We interrogate data on patients representing the full spectrum of NAFLD/NASH derived from the EPoS European NAFLD Registry (n = 627). We condense the EPoS lipidomic data into lipid clusters and subsequently apply non-rejection-rate-pruned partial correlation network techniques to facilitate network analysis between the datasets of lipidomic, metabolomic and clinical data. For biomarker identification, random forest ensemble classification and neural network machine learning approaches were used to both search for valid disease biomarkers and to assess the relative improvement over clinical-data-only classification versus addition of our lipidomic and metabolomic datasets.Results: We found that steatosis grade was strongly associated with (1) an increase of triglycerides with low carbon number and double bond count as well as (2) a decrease of specific phospholipids, including lysophosphatidylcholines. In addition to the network topology as a result itself, we also present lipid clusters (LCs) of interest to the derived network of proposed interactions in our NAFLD data from the EPoS cohort, along with our proposed biomarkers for various disease outcomes, as put forward by our current machine learning analyses.Conclusion: Our findings suggest that dysregulation of lipid metabolism in progressive stages of NAFLD is reflected in circulation and may thus hold diagnostic value as well as offer new insights about the NAFLD pathogenesis. Using this cohort as a proof-of-concept, we demonstrate current progress in tuning the accuracy of neural network and random forest approaches with a view to predicting various subtypes of NAFLD patient using a minimal set of lipidomic and metabolic markers. A detailed network-based picture emerges between lipids, polar metabolites and clinical variables. Lipidomic/metabolomic markers may provide an alternative method of NAFLD patient classification and risk stratification to guide therapy.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Geng, DaweiÖrebro University, Örebro, Sweden (författare)
  • Govaere, OlivierNewcastle University, Newcastle Upon Tyne, England (författare)
  • Ratziu, VladParis Diderot University, Paris, France (författare)
  • Bugianesi, ElisabettaUniversity of Turin, Turin, Italy (författare)
  • Schattenberg, Jörn M.University Medical Center Mainz, Metabolic Liver Research Program, I. Department of Medicine, Mainz, Germany (författare)
  • Daly, Ann K.Newcastle University, Newcastle Upon Tyne, England (författare)
  • Hyötyläinen, Tuulia,1971-Örebro universitet,Institutionen för naturvetenskap och teknik(Swepub:oru)tihn (författare)
  • Anstee, QuentinNewcastle University, Newcastle Upon Tyne, England (författare)
  • Oresic, Matej,1967-Örebro universitet,Institutionen för medicinska vetenskaper(Swepub:oru)moc (författare)
  • Örebro universitetInstitutionen för medicinska vetenskaper (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Journal of Hepatology: Elsevier73:Suppl. 1, s. S438-S4380168-82781600-0641

Internetlänk

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy