Evidence map›Paper›PMID 30175139›Full record

ArticleBioMed research international2018

Protective Role of Coxsackie-Adenovirus Receptor in the Pathogenesis of Inflammatory Bowel Diseases.

Xiong Chen, Rui Liu, Xiaoming Liu, Canxia Xu, Xiaoyan Wang

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Changes in brain kynurenine levelsFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    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 1 institution in 1 country.

Xiong ChenDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha City, Hunan Province, China.
Rui LiuDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha City, Hunan Province, China.
Xiaoming LiuDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha City, Hunan Province, China.ORCID 0000-0002-1811-8758
Canxia XuDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha City, Hunan Province, China.
Xiaoyan WangDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha City, Hunan Province, China.ORCID 0000-0003-3352-7143
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the role of Coxsackie-adenovirus receptor (CAR) in inflammatory bowel disease (IBD).

backgroundCAR, a type I transmembrane protein with functions in virus attachment, has been shown to be associated with epithelial tight junctions (TJs) and mediates cell adhesion, implying its potential roles in the pathogenesis of IBD. METHODS AND MATERIALS: To determine the effect of CAR in IBD using QPCR and Western blotting to determine the expression of CAD in TNF-

resultWe found CAR levels in human colon cell lines are significantly downregulated under the treatment of tumor necrosis factor-alpha (TNF-

Indexed as

AnimalsCase-Control StudiesCoxsackie and Adenovirus Receptor-Like Membrane ProteinDextran SulfateDisease Models, AnimalHumansInflammatory Bowel DiseasesIntestinal MucosaRatsTight JunctionsCoxsackie and Adenovirus Receptor-Like Membrane ProteinDextran Sulfate

Identifiers

PMID30175139
PMCPMC6106915
OpenAlexW2887001200

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.