Evidence map›Paper›PMID 26909226›Full record

ReviewWorld journal of gastrointestinal pathophysiology2016

Current application of proteomics in biomarker discovery for inflammatory bowel disease.

Patrick Py Chan, Valerie C Wasinger, Rupert W Leong

Abstract readReview
In one paragraph

Review in World journal of gastrointestinal pathophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Changes in Serum Proteins in Cats with Obesity: A Proteomic Approach.Animals : an open access journal from MDPI · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024
    Review
  8. Article
  9. Review
  10. The Effect ofFrontiers in nutrition · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

3 authors.

Patrick Py ChanPatrick PY Chan, Valerie C Wasinger, Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, the University of NSW Australia, Kensington, NSW 2052, Australia.
Valerie C WasingerPatrick PY Chan, Valerie C Wasinger, Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, the University of NSW Australia, Kensington, NSW 2052, Australia.
Rupert W LeongPatrick PY Chan, Valerie C Wasinger, Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, the University of NSW Australia, Kensington, NSW 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the field of proteomics has rapidly expanded in its application towards clinical research with objectives ranging from elucidating disease pathogenesis to discovering clinical biomarkers. As proteins govern and/or reflect underlying cellular processes, the study of proteomics provides an attractive avenue for research as it allows for the rapid identification of protein profiles in a biological sample. Inflammatory bowel disease (IBD) encompasses several heterogeneous and chronic conditions of the gastrointestinal tract. Proteomic technology provides a powerful means of addressing major challenges in IBD today, especially for identifying biomarkers to improve its diagnosis and management. This review will examine the current state of IBD proteomics research and its use in biomarker research. Furthermore, we also discuss the challenges of translating proteomic research into clinically relevant tools. The potential application of this growing field is enormous and is likely to provide significant insights towards improving our future understanding and management of IBD.

Indexed as

BiomarkersInflammatory bowel diseaseMass spectrometryMolecular diagnostic techniquesProteomics

Identifiers

PMID26909226
PMCPMC4753187

What OpenQuestion holds

Textmetadata
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.