Evidence map›Paper›PMID 38296680›Full record

ReviewChinese journal of traumatology = Zhonghua chuang shang za zhi2024

Exploration of potential biomarkers and therapeutic targets for trauma-related acute kidney injury.

Peng Qi, Meng-Jie Huang, Wei Wu, Xue-Wen Ren, Yong-Zhi Zhai, Chen Qiu, Hai-Yan Zhu

Open access · diamondAbstract readReview
In one paragraph

Review in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Bimodal distribution of trauma-related acute kidney injury (TrAKI): A clinical review.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2026
    Review
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 1 institution in 1 country.

Peng QiDepartment of Emergency, First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Meng-Jie HuangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Wei WuDepartment of Anesthesiology, First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Xue-Wen RenDepartment of Emergency, First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yong-Zhi ZhaiDepartment of Emergency, First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Chen QiuDepartment of Orthopedics, Fourth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. Electronic address: qcgk301@163.com.
Hai-Yan ZhuDepartment of Emergency, First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. Electronic address: xiaoyanzibj301@163.com.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAcute kidney injury (AKI) is one of the most common functional injuries observed in trauma patients. However, certain trauma medications may exacerbate renal injury. Therefore, the early detection of trauma-related AKI holds paramount importance in improving trauma prognosis.

methodsQualified datasets were selected from public databases, and common differentially expressed genes related to trauma-induced AKI and hub genes were identified through enrichment analysis and the establishment of protein-protein interaction (PPI) networks. Additionally, the specificity of these hub genes was investigated using the sepsis dataset and conducted a comprehensive literature review to assess their plausibility. The raw data from both datasets were downloaded using R software (version 4.2.1) and processed with the "affy" package19 for correction and normalization.

resultsOur analysis revealed 585 upregulated and 629 downregulated differentially expressed genes in the AKI dataset, along with 586 upregulated and 948 downregulated differentially expressed genes in the trauma dataset. Concurrently, the establishment of the PPI network and subsequent topological analysis highlighted key hub genes, including CD44, CD163, TIMP metallopeptidase inhibitor 1, cytochrome b-245 beta chain, versican, membrane spanning 4-domains A4A, mitogen-activated protein kinase 14, and early growth response 1. Notably, their receiver operating characteristic curves displayed areas exceeding 75%, indicating good diagnostic performance. Moreover, our findings postulated a unique molecular mechanism underlying trauma-related AKI.

conclusionThis study presents an alternative strategy for the early diagnosis and treatment of trauma-related AKI, based on the identification of potential biomarkers and therapeutic targets. Additionally, this study provides theoretical references for elucidating the mechanisms of trauma-related AKI.

Indexed as

Acute Kidney InjuryProtein Interaction MapsBiomarkersComputational BiologyGene Expression ProfilingHumansPrognosisBiomarkersAcute kidney injuryBioinformatic analysisBiomarkerDifferentially expressed genesTrauma

Identifiers

PMID38296680
PMCPMC11075146
OpenAlexW4390919813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.