Evidence map›Paper›PMID 27830702›Full record

ArticleNature communications2016

Hyperglycaemia inhibits REG3A expression to exacerbate TLR3-mediated skin inflammation in diabetes.

Yelin Wu, Yanchun Quan, Yuanqi Liu, Keiwei Liu, Hongquan Li, Ziwei Jiang, Tian Zhang, Hu Lei, Katherine A Radek, Dongqing Li and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  16. [HTD4010 attenuates myocardial injury in mice with septic cardiomyopathy by promoting autophagyNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024
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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

16 authors at 4 institutions in 2 countries.

Yelin WuShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Yanchun QuanShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Yuanqi LiuShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Keiwei LiuShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Hongquan LiShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Ziwei JiangShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Tian ZhangShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Hu LeiShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Katherine A RadekDepartment of Surgery, Burn and Shock Trauma Research Institute, Loyola University Chicago, Health Sciences Campus, Maywood, Illinois 60153, USA.
Dongqing LiShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Zhenhua WangShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Jilong LuShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Wang WangShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
Shizhao JiBurn Institute of Chinese PLA and Department of Burn Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Zhaofan XiaBurn Institute of Chinese PLA and Department of Burn Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Yuping LaiShanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, China.
East China Normal University · CNChanghai Hospital · CNLoyola University Chicago · USSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulated inflammatory responses are known to impair wound healing in diabetes, but the underlying mechanisms are poorly understood. Here we show that the antimicrobial protein REG3A controls TLR3-mediated inflammation after skin injury. This control is mediated by REG3A-induced SHP-1 protein, and acts selectively on TLR3-activated JNK2. In diabetic mouse skin, hyperglycaemia inhibits the expression of IL-17-induced IL-33 via glucose glycation. The decrease in cutaneous IL-33 reduces REG3A expression in epidermal keratinocytes. The reduction in REG3A is associated with lower levels of SHP-1, which normally inhibits TLR3-induced JNK2 phosphorylation, thereby increasing inflammation in skin wounds. To our knowledge, these findings show for the first time that REG3A can modulate specific cutaneous inflammatory responses and that the decrease in cutaneous REG3A exacerbates inflammation in diabetic skin wounds.

Indexed as

AdultAgedAnimalsCells, CulturedDermatitisDiabetes MellitusFemaleGene ExpressionHumansHyperglycemiaKeratinocytesMaleMice, Inbred BALB CMice, Inbred C57BLMice, KnockoutMiddle AgedPancreatitis-Associated ProteinsREG3A protein, humanToll-Like Receptor 3

Identifiers

PMID27830702
PMCPMC5109591
OpenAlexW2556328101

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.