Evidence map›Paper›PMID 39333590›Full record

Observational studyScientific reports2024

Plasma-derived exosomal hsa-miR-184 and hsa-mir-6766-3p as promising diagnostic biomarkers for early detection of children's cardiac surgery-associated acute kidney injury.

Liu Pengtao, Bai Kaiping, Yuan Fei, Gao Wei, Zou Xiangyu, Sun Jie

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Research progress on biomarkers for acute kidney injury in children.Pediatric nephrology (Berlin, Germany) · 2026
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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.

Liu Pengtao *Department of Urology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bai Kaiping *Department of Urology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuan Fei *Department of Urology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gao WeiSchool of Basic Medical Sciences, Weifang Medical University, Weifang, China.
Zou XiangyuDepartment of Urology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. zouxiangyu@scmc.com.cn.
Sun JieDepartment of Urology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. sunjie@scmc.com.cn.

Funding

Natural Science Foundation of Fujian Province 2023J01183Program of Scientific and Technological Development of Weifang 2023GX026Pudong New Area Science and Technology Development Fund PKJ2020-Y04Tai-Shan Scholar Program from Shandong Province tsqn202103116
6 · The paper itself

Abstract

There is little known about the contribution of exosomal microRNAs (exomiRs) in the children's cardiac surgery-associated acute kidney injury (CSA-AKI). This study aimed to find diagnostic biomarkers for predicting CSA-AKI in children. A prospective observational study was conducted from April 2020 to March 2021.According to the changes of serum creatinine (SCr) value and urine volume within 48 h, the children were divided into acute kidney injury (AKI) group and non-AKI group. Serum samples were collected 4 h after cardiac surgery. Isolation of extracellular vesicles (EVs) and extraction of exomiRs from serum samples. Illumina high-throughput sequencing was used to quantify exomiRs and screen candidate microRNAs (miRNAs). Expression levels of candidate miRNAs were validated using droplet digital polymerase chain reaction (ddPCR). Normal and injuried rats' kidney tissue were collected for tissue validation. In the pre-experimental stage (4 AKI vs. 4 non-AKI), hsa-miR-184, hsa-miR-4800-3p, hsa-miR-203a-3p and hsa-miR-6766-3p were selected as candidate genes. In the verification stage (8 AKI vs. 12 non-AKI), the expression of hsa-miR-184 in AKI group was significantly lower than that in non-AKI group (P = 0.031), and the expression of hsa-miR-4800-3p and hsa-miR-6766-3p in AKI group was significantly higher than that in non-AKI group (P = 0.01 and P = 0.047). There was no significant difference in the expression of hsa-miR-203a-3p between the two groups (P > 0.05). The expression of rats' kidney tissue rno-miR-184 in AKI group was significantly lower than that in the normal group (P = 0.044). The area under the curve (AUC) of AKI predicted by hsa-miR-184 is 0.7865 and the AUC of hsa-miR-6766-3p is 0.7708. Combined with two kinds of miRNAs, the area under the curve of AKI is predicted to be 0.8646. The change of exomiRs level in circulatory system occurred in the early stage after cardiac operation, and the changes of hsa-miR-184 and hsa-miR-6766-3p content in circulatory system could predict CSA-AKI well.

Indexed as

Acute Kidney InjuryBiomarkersCardiac Surgical ProceduresEarly DiagnosisExosomesMicroRNAsAnimalsChildChild, PreschoolFemaleHumansInfantMaleProspective StudiesRatsBiomarkersMicroRNAsAcute kidney injuryBiomarkersCardiac surgeryddPCRMicroRNAsPediatric

Identifiers

PMID39333590
PMCPMC11436921

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