Evidence map›Paper›PMID 27334720›Full record

ArticleAnnals of intensive care2016

Knockout of interleukin-17A protects against sepsis-associated acute kidney injury.

Cong-Juan Luo, Feng Luo, Li Zhang, Yan Xu, Guang-Yan Cai, Bo Fu, Zhe Feng, Xue-Feng Sun, Xiang-Mei Chen

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

36 citing papers in PubMed, 53 citations in OpenAlex.

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  10. Biomarkers as Beacons: Illuminating Sepsis-Associated Hepato-Renal Injury.International journal of molecular sciences · 2025
    Review
  11. Advances in Nano-Immunomodulatory Systems for the Treatment of Acute Kidney Injury.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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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

9 authors at 3 institutions in 1 country.

Cong-Juan LuoDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Shandong, 266003, People's Republic of China.
Feng LuoDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Shandong, 266003, People's Republic of China.
Li ZhangState Key Laboratory of Kidney Diseases, Department of Nephrology, Chinese PLA General Hospital and Medical School of Chinese PLA, No.28 Fuxing Road, Beijing, 100853, People's Republic of China. zhangl301@hotmail.com.
Yan XuDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Shandong, 266003, People's Republic of China.
Guang-Yan CaiState Key Laboratory of Kidney Diseases, Department of Nephrology, Chinese PLA General Hospital and Medical School of Chinese PLA, No.28 Fuxing Road, Beijing, 100853, People's Republic of China.
Bo FuState Key Laboratory of Kidney Diseases, Department of Nephrology, Chinese PLA General Hospital and Medical School of Chinese PLA, No.28 Fuxing Road, Beijing, 100853, People's Republic of China.
Zhe FengState Key Laboratory of Kidney Diseases, Department of Nephrology, Chinese PLA General Hospital and Medical School of Chinese PLA, No.28 Fuxing Road, Beijing, 100853, People's Republic of China.
Xue-Feng SunState Key Laboratory of Kidney Diseases, Department of Nephrology, Chinese PLA General Hospital and Medical School of Chinese PLA, No.28 Fuxing Road, Beijing, 100853, People's Republic of China.
Xiang-Mei ChenState Key Laboratory of Kidney Diseases, Department of Nephrology, Chinese PLA General Hospital and Medical School of Chinese PLA, No.28 Fuxing Road, Beijing, 100853, People's Republic of China. xmchen301@126.com.
Chinese PLA General Hospital · CNAffiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis-associated acute kidney injury (SA-AKI) is an independent risk factor for death in patients with sepsis, but treatment for it is limited. To improve the diagnosis and treatment of SA-AKI, we must first understand its pathogenesis. Recently, interleukin (IL)-17A has been shown to be associated with the pathogenesis of acute kidney injury and sepsis, but its role in SA-AKI remains unclear.

methodsSA-AKI was induced in male C57BL/6 and IL-17A(-/-) mice using cecal ligation and puncture (CLP) operations for 24 h.

resultsAt 7 days, only seven mice survived in the wild-type septic group, but nine survived in the IL-17A(-/-) septic group, corresponding to survival rates of 25 % and 45 %, respectively. At 24 h after CLP operations, both wild-type and IL-17A(-/-) septic mice developed kidney injury. The IL-17A(-/-) septic mice exhibited decreased serum creatinine and blood urea nitrogen levels and an improved acute tubular necrosis score. The IL-17A(-/-) septic mice exhibited decreased IL-6, interferon-γ, tumor necrosis factor-α, CXCL1, CXCL2, and CXCL5 expression in kidney tissue, but increased IL-10 expression. In addition, renal neutrophil infiltration was attenuated significantly in the IL-17A(-/-) septic group. Moreover, IL-17A(-/-) septic mice showed significantly decreased apoptosis of tubular epithelial cells, including decreased TUNEL-positive tubular cell number and cleaved caspase-3 level, compared with the wild-type CLP group. Their Bax/Bcl-2 expression ratio was also increased.

conclusionsOur study demonstrates that IL-17A knockout could protect against SA-AKI. We show that IL-17A plays a pathogenic role in SA-AKI by increasing the levels of proinflammatory cytokines and chemokines, and by inducing neutrophil infiltration and apoptosis of tubular epithelial cells. Accordingly, IL-17A may be a novel target in SA-AKI.

Indexed as

IL-17A knockoutSepsisSepsis-associated acute kidney injury

Identifiers

PMID27334720
PMCPMC4917508
OpenAlexW2470144143

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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.