Evidence map›Paper›PMID 20573271›Full record

ArticleJournal of inflammation (London, England)2010

The role of Qa-2, the functional homolog of HLA-G, in a Behcet's disease-like mouse model induced by the herpes virus simplex.

Meeyoung Lee, Bunsoon Choi, Hyuk Jae Kwon, Ju A Shim, Kyung Sook Park, Eun-So Lee, Seonghyang Sohn

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation (London, England), 2010. 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
0.1field-weighted citation impact, top 46% 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, 8 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

7 authors at 2 institutions in 1 country.

Meeyoung Lee *Laboratory of Cell Biology, Ajou University Institute for Medical Sciences, Suwon, Korea.
Bunsoon Choi *Laboratory of Cell Biology, Ajou University Institute for Medical Sciences, Suwon, Korea.
Hyuk Jae KwonLaboratory of Cell Biology, Ajou University Institute for Medical Sciences, Suwon, Korea.
Ju A ShimLaboratory of Cell Biology, Ajou University Institute for Medical Sciences, Suwon, Korea.
Kyung Sook ParkDepartment of Biology, Sungshin University, Seoul, Korea.
Eun-So LeeDepartment of Dermatology, Ajou University School of Medicine, Suwon, Korea.
Seonghyang SohnLaboratory of Cell Biology, Ajou University Institute for Medical Sciences, Suwon, Korea.
Ajou University · KRSungshin Women's University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been suggested that the HLA-G molecule is a genetic risk factor for Behcet's disease (BD). In this study, we evaluated the level of Qa-2, a murine nonclassical class I MHC molecule and possible functional homolog of HLA-G, to determine if it was associated with various symptoms of BD-like mice. In addition, we investigated siRNA (small interfering RNA) treatment to determine if it inhibited Qa-2 expression, thereby changing the symptoms of mice.

methodsRNA interference (RNAi) and vector transfection were employed to manipulate gene expression in vivo in mice. siRNA (small interfering RNA) or Qa-2 expression vector was applied to inhibit or up-regulate Qa-2 expression, respectively.

resultsThe Qa-2 levels in granulocytes were lower in BD-like mice than in normal controls. The silencing of Qa-2 by intravenous injection of siRNA (500 nmol/mouse, 4 times at 3-day intervals) specifically reduced the Qa-2 levels and worsened the BD-like symptoms.

conclusionsSilencing Qa-2 by injecting siRNA into mice resulted in deterioration of symptoms in BD-like mice.

Identifiers

PMID20573271
PMCPMC2902457
OpenAlexW2156752658

What OpenQuestion holds

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LicenceCC BY
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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.