Evidence map›Paper›PMID 28114331›Full record

ArticlePloS one2017

Serum Glycoproteome Profiles for Distinguishing Intestinal Fibrosis from Inflammation in Crohn's Disease.

Ryan W Stidham, Jing Wu, Jiaqi Shi, David M Lubman, Peter D R Higgins

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Biomarkers for the Prediction and Diagnosis of Fibrostenosing Crohn's Disease: A Systematic Review.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. How to Evaluate Fibrosis in IBD?Diagnostics (Basel, Switzerland) · 2023
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Association Between Plasma Level of Collagen Type III Alpha 1 Chain and Development of Strictures in Pediatric Patients With Crohn's Disease.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2019
    Article
  13. Observational
  14. Total flavone ofWorld journal of gastroenterology · 2018
    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

5 authors at 2 institutions in 1 country.

Ryan W StidhamDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI, United States of America.
Jing WuDepartment of Surgery, University of Michigan Health System, Ann Arbor, MI, United States of America.
Jiaqi ShiDepartment of Pathology, University of Michigan Health System, Ann Arbor, MI, United States of America.
David M LubmanDepartment of Surgery, University of Michigan Health System, Ann Arbor, MI, United States of America.
Peter D R HigginsDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI, United States of America.
University of Michigan–Ann Arbor · USMichigan Medicine · US

Funding

Improving Prediction of Medical Responsiveness and Clinical Outcomes in Crohn's DiseaseK23DK101687 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STIDHAM, RYAN WILLIAM · 2015 to 2019
$945k
NIDDK NIH HHS K23 DK101687
6 · The paper itself

Abstract

backgroundReliable identification and quantitation of intestinal fibrosis in the setting of co-existing inflammation due to Crohn's disease (CD) is difficult. We aimed to identify serum biomarkers which distinguish inflammatory from fibrostenotic phenotypes of CD using serum glycoproteome profiles.

methodsSubjects with fibrostenotic and inflammation-predominant CD phenotypes (n = 20 per group) underwent comparison by quantitative serum glycoproteome profiles as part of a single tertiary care center cohort study. Following lectin elution, glycoproteins underwent liquid chromatography followed by tandem mass spectrometry. Identified candidate biomarkers of fibrosis were also measured by serum ELISA, a widely available technique.

resultsFive (5) glycoproteins demonstrated a ≥20% relative abundance change in ≥80% of subjects, including cartilage oligomeric matrix protein (COMP) and hepatocyte growth factor activator (HGFA). COMP (431.7±112.7 vs. 348.7±90.5 ng/mL, p = 0.012) and HGFA (152.7±66.5 vs. 107.1±38.7 ng/mL, p = 0.031) serum levels were elevated in the fibrostenotic vs. inflammatory CD groups using ELISA. Within the fibrostenotic group, intra-individual changes of candidate biomarkers revealed HGFA levels significantly declined following the resection of all diseased intestine (152.7±66.5 vs. 107.1±38.7 ng/mL, p = 0.015); COMP levels were unchanged. Immunohistochemical staining confirmed the presence of COMP in the submucosa and muscularis of resected fibrostenotic tissue.

conclusionsIn this biomarker discovery study, several serum glycoproteins, specifically COMP and HGFA, differ between between predominately inflammatory and fibrostenotic CD phenotypes. The development of blood-based biomarkers of fibrosis would provide an important complement to existing prognostic tools in IBD, aiding decisions on therapeutic intensity and mechanism selection, surgery, and the monitoring of future anti-fibrotic therapies for CD.

Indexed as

AdultBiomarkersBlood ProteinsChromatography, LiquidCrohn DiseaseDiagnosis, DifferentialEnzyme-Linked Immunosorbent AssayFemaleFibrosisGlycoproteinsHumansInflammationMaleMiddle AgedTandem Mass SpectrometryBiomarkersBlood ProteinsGlycoproteins

Identifiers

PMID28114331
PMCPMC5256928
OpenAlexW2581379092

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.