Evidence map›Paper›PMID 19307756›Full record

ArticleExperimental & molecular medicine2009

Polymorphisms of COTL1 gene identified by proteomic approach and their association with autoimmune disorders.

Eun-Heui Jin, Seung-Cheol Shim, Hwan-Gyu Kim, Soo-Cheon Chae, Hun-Taeg Chung

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In one paragraph

Article in Experimental & molecular medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

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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 3 institutions in 1 country.

Eun-Heui JinGenome Research Center for Immune Disorders, Wonkwang University School of Medicine, Iksan, Korea.
Seung-Cheol Shim
Hwan-Gyu Kim
Soo-Cheon Chae
Hun-Taeg Chung
Wonkwang University · KREulji University · KRJeonbuk National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To select candidate genes, we attempted to comparative analysis of protein levels between rheumatoid arthritis (RA) patients and healthy controls by two-dimensional electrophoresis (2-DE) and matrix-assisted laser desorption ionization mass spectrometry (MALDI-TOF-MS). We identified 17 proteins that showed up- or down-regulated spots in RA patients. We found that coactosin-like1 (COTL1) were highly expressed in RA patients compared with healthy controls. We performed a case-control study to determine whether the COTL1 gene polymorphisms were associated with RA and systemic lupus erythematosus (SLE). The genotype frequency of c.-1124G>T and the allelic frequency of c.484G>A in RA patients, and the genotype frequency of c.484G>A in SLE patients were significantly different from healthy controls (P=0.009, 0.027, and 0.025, respectively). We also investigated the correlation with the levels of rheumatoid factor (RF) and anti-cyclic citrullinated peptide (CCP) antibody in RA patients, and anti-nuclear antibodies (ANA) in SLE patients. The c.484G>A polymorphism in RA patients has significant association with the levels of anti-CCP antibody (P=0.03). Our findings demonstrated that c.-1124G>T and c. 484G>A polymorphisms of the COTL1 gene might be associated with the genetic susceptibility of autoimmune disorders.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesCase-Control StudiesElectrophoresis, Gel, Two-DimensionalGenotypeHumansLupus Erythematosus, SystemicMicrofilament ProteinsPolymorphism, GeneticProteomeProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationCOTL1 protein, humanMicrofilament ProteinsProteome

Identifiers

PMID19307756
PMCPMC2701985
OpenAlexW2097734060

What OpenQuestion holds

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Registered trials

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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.