Evidence map›Paper›PMID 39337628›Full record

ArticleInternational journal of molecular sciences2024

Biomarker Discovery in Liver Disease Using Untargeted Metabolomics in Plasma and Saliva.

Noah J Daniels, Courtney E Hershberger, Matthew Kerosky, Chase J Wehrle, Roma Raj, Nihal Aykun, Daniela S Allende, Federico N Aucejo, Daniel M Rotroff

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

9 authors.

Noah J DanielsDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA.
Courtney E HershbergerDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA.
Matthew KeroskyDepartment of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.
Chase J WehrleDepartment of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.ORCID 0000-0002-9275-4744
Roma RajDepartment of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.
Nihal AykunDepartment of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.
Daniela S AllendeDepartment of Pathology, Cleveland Clinic, Cleveland, OH 44106, USA.
Federico N AucejoDepartment of HPB Surgery and Liver Transplantation, Cleveland Clinic, Cleveland, OH 44106, USA.
Daniel M RotroffDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA.ORCID 0000-0003-0553-3220

Funding

Cleveland Clinic Cleveland Clinic VeloSano Award, Cleveland Clinic Centers of Excellence Award, Cleveland Clinic Center for Quantitative Metabolic Research
6 · The paper itself

Abstract

Chronic liver diseases, including non-alcoholic fatty liver disease (NAFLD), cirrhosis, and hepatocellular carcinoma (HCC), continue to be a global health burden with a rise in incidence and mortality, necessitating a need for the discovery of novel biomarkers for HCC detection. This study aimed to identify novel non-invasive biomarkers for these different liver disease states. We performed untargeted metabolomics in plasma (Healthy = 9, NAFLD = 14, Cirrhosis = 10, HCC = 34) and saliva samples (Healthy = 9, NAFLD = 14, Cirrhosis = 10, HCC = 22) to test for significant metabolite associations with each disease state. Additionally, we identified enriched biochemical pathways and analyzed correlations of metabolites between, and within, the two biofluids. We identified two salivary metabolites and 28 plasma metabolites significantly associated with at least one liver disease state. No metabolites were significantly correlated between biofluids, but we did identify numerous metabolites correlated within saliva and plasma, respectively. Pathway analysis revealed significant pathways enriched within plasma metabolites for several disease states. Our work provides a detailed analysis of the altered metabolome at various stages of liver disease while providing some context to altered pathways and relationships between metabolites.

Indexed as

BiomarkersMetabolomeMetabolomicsNon-alcoholic Fatty Liver DiseaseSalivaAdultAgedCarcinoma, HepatocellularFemaleHumansLiver CirrhosisLiver DiseasesLiver NeoplasmsMaleMiddle AgedBiomarkersbiomarker discoveryhepatocellular carcinomaliver cirrhosisliver diseasemetabolomicsNAFLD

Identifiers

PMID39337628
PMCPMC11432510

What Socratic 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 Socratic graph.