Evidence map›Paper›PMID 36793712›Full record

ArticleFrontiers in immunology2023

AFM negatively regulates the infiltration of monocytes to mediate sepsis-associated acute kidney injury.

Caiyun Guo, Youling Fan, Jiurong Cheng, Yingdong Deng, Xiangsheng Zhang, Yanna Chen, Huan Jing, Wenjun Li, Pei Liu, Jiaqi Xie and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 10 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

13 authors at 3 institutions in 1 country.

Caiyun GuoDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Youling FanDepartment of Anesthesiology, The First People's Hospital of Kashgar, Xinjiang, China.
Jiurong ChengDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Yingdong DengDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Xiangsheng ZhangDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Yanna ChenDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Huan JingDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Wenjun LiDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Pei LiuDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Jiaqi XieDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Wenjun NingDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Hongtao ChenDepartment of Anesthesiology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jun ZhouDepartment of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Third Affiliated Hospital of Southern Medical University · CNGuangzhou Medical University · CNXian Yang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is organ dysfunction due to the host's deleterious response to infection, and the kidneys are one of the organs damaged in common sepsis. Sepsis-associated acute kidney injury (SA-AKI) increases the mortality in patients with sepsis. Although a substantial volume of research has improved the prevention and treatment of the disease, SA-SKI is still a significant clinical concern. Purpose: Aimed to use weighted gene co-expression network analysis (WGCNA) and immunoinfiltration analysis to study SA-AKI-related diagnostic markers and potential therapeutic targets. Methods: Immunoinfiltration analysis was performed on SA-AKI expression datasets from the Gene Expression Synthesis (GEO) database. A weighted gene co-expression network analysis (WGCNA) analysis was performed on immune invasion scores as trait data, and modules associated with immune cells of interest were identified as hub modules. Screening hub geneset in the hub module using protein-protein interaction (PPI) network analysis. The hub gene was identified as a target by intersecting with significantly different genes screened by differential expression analysis and validated using two external datasets. Finally, the correlation between the target gene, SA-AKI, and immune cells was verified experimentally. Results: Green modules associated with monocytes were identified using WGCNA and immune infiltration analysis. Differential expression analysis and PPI network analysis identified two hub genes ( Conclusions:

Indexed as

Acute Kidney InjurySepsisCarrier ProteinsDatabases, FactualGlycoproteinsHumansKidneyMonocytesSerum Albumin, HumanAFM protein, humanCarrier ProteinsGlycoproteinsSerum Albumin, HumanAFMimmunitymonocyteSA-AKIWGCNA

Identifiers

PMID36793712
PMCPMC9922996
OpenAlexW4318464192

What OpenQuestion holds

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LicenceCC BY
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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.