Evidence map›Paper›PMID 38802947›Full record

ReviewCell communication and signaling : CCS2024

IL-17 in wound repair: bridging acute and chronic responses.

Xingrui Mu, Rifang Gu, Ming Tang, Xingqian Wu, Wenjie He, Xuqiang Nie

Abstract readReview
In one paragraph

Review in Cell communication and signaling : CCS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Xingrui MuCollege of Pharmacy, Zunyi Medical University, Zunyi, 563006, China.
Rifang GuSchool Medical Office, Zunyi Medical University, Zunyi, 563006, China.
Ming TangDepartment of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Xingqian WuCollege of Pharmacy, Zunyi Medical University, Zunyi, 563006, China.
Wenjie HeCollege of Pharmacy, Zunyi Medical University, Zunyi, 563006, China.
Xuqiang NieCollege of Pharmacy, Zunyi Medical University, Zunyi, 563006, China. niexuqiang@zmu.edu.cn.ORCID 0000-0002-6926-6515

Funding

Guizhou Provincial Natural Science Foundation QKH-J-2020-1Z070National Natural Science Foundation of China 82160770Outstanding Young Scientific and Technological Talents Project of Guizhou Province 2021-5639Zunyi Science and Technology Talent Platform Carrier Construction Project ZSKRPT2023-1
6 · The paper itself

Abstract

Chronic wounds, resulting from persistent inflammation, can trigger a cascade of detrimental effects including exacerbating inflammatory cytokines, compromised blood circulation at the wound site, elevation of white blood cell count, increased reactive oxygen species, and the potential risk of bacterial infection. The interleukin-17 (IL-17) signaling pathway, which plays a crucial role in regulating immune responses, has been identified as a promising target for treating inflammatory skin diseases. This review aims to delve deeper into the potential pathological role and molecular mechanisms of the IL-17 family and its pathways in wound repair. The intricate interactions between IL-17 and other cytokines will be discussed in detail, along with the activation of various signaling pathways, to provide a comprehensive understanding of IL-17's involvement in chronic wound inflammation and repair.

Indexed as

Interleukin-17Wound HealingAnimalsHumansInflammationSignal TransductionInterleukin-17Chronic woundsDiabetic ulcersIL-17 pathwayInflammationTherapeutic targets

Identifiers

PMID38802947
PMCPMC11129447

What OpenQuestion holds

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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.