Evidence map›Paper›PMID 31860081›Full record

ArticleBioscience reports2020

Proteomic screening of plasma identifies potential noninvasive biomarkers associated with significant/advanced fibrosis in patients with nonalcoholic fatty liver disease.

Wei Hou, Michael G Janech, Philip M Sobolesky, Alison M Bland, Salma Samsuddin, William Alazawi, Wing-Kin Syn

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Oxidised Apolipoprotein Peptidome Characterises Metabolic Dysfunction-Associated Steatotic Liver Disease.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Comparative Proteomic Analysis of Liver Tissues and Serum inInternational journal of molecular sciences · 2022
    Article
  17. Article
  18. Article
  19. Review
  20. Article
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 2 institutions in 4 countries.

Wei HouDivision of Gastroenterology and Hepatology, Department of Medicine, Medical University of South Carolina, Charleston, SC, U.S.A.
Michael G JanechDepartment of Medicine, Nephrology Proteomics Laboratory, Medical University of South Carolina, Charleston, SC, U.S.A.
Philip M SoboleskyDepartment of Medicine, Nephrology Proteomics Laboratory, Medical University of South Carolina, Charleston, SC, U.S.A.
Alison M BlandDepartment of Medicine, Nephrology Proteomics Laboratory, Medical University of South Carolina, Charleston, SC, U.S.A.
Salma SamsuddinBlizard Institute, Queen Mary, University of London, London, U.K.
William AlazawiBlizard Institute, Queen Mary, University of London, London, U.K.
Wing-Kin SynDivision of Gastroenterology and Hepatology, Department of Medicine, Medical University of South Carolina, Charleston, SC, U.S.A.
Medical University of South Carolina · USQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive biomarkers are clinically useful for evaluating liver fibrosis stage in patients with nonalcoholic fatty liver disease (NAFLD). The aim of the present study was to compare plasma proteins in patients with early nonalcoholic steatohepatitis (NASH) (F0-F1) versus NASH with significant/advanced fibrosis (F2-F4) to determine whether candidate proteins could be used as potential noninvasive biomarkers. Nineteen biopsy-proven NAFLD patients including ten early NASH patients and nine NASH patients with significant/advanced fibrosis were enrolled in the present study. High-resolution proteomics screening of plasma was performed with the SCIEX TripleTOF 5600 System. Proteins were quantified using two different software platforms, Progenesis Qi and Scaffold Q+, respectively. Progenesis Qi analysis resulted in the discovery of 277 proteins compared with 235 proteins in Scaffold Q+. Five consensus proteins (i.e. Complement component C7; α-2-macroglobulin; Complement component C8 γ chain; Fibulin-1; α-1-antichymotrypsin) were identified. Complement component C7 was three-fold higher in the NASH group with significant/advanced fibrosis (F2-F4) compared with the early NASH (F0-F1) group (q-value = 3.6E-6). Complement component C7 and Fibulin-1 are positively correlated with liver stiffness (P=0.000, P=0.002, respectively); whereas, Complement component C8 γ chain is negatively correlated (P=0.009). High levels of Complement C7 are associated with NASH with significant/advanced fibrosis and Complement C7 is a perfect classifier of patients included in this pilot study. Further studies will be needed in a larger validation cohort to confirm the utility of complement proteins as biomarkers or mechanistic determinants of NASH with significant/advanced fibrosis.

Indexed as

ProteomeProteomicsAdultAgedalpha-MacroglobulinsBiomarkersCalcium-Binding ProteinsComplement C7Complement C8FemaleHumansLiver CirrhosisMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePilot ProjectsA2M protein, humanalpha-MacroglobulinsBiomarkersC8G protein, humanCalcium-Binding ProteinsComplement C7Complement C8fibulinProteomeSERPINA3 protein, humanSerpinsComplementLiver fibrosisNAFLDNoninvasive biomarkerProteomics

Identifiers

PMID31860081
PMCPMC6944676
OpenAlexW2997846455

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.