Evidence map›Paper›PMID 39370847›Full record

ArticleEpigenetics2024

A promising application of kidney-specific cell-free DNA methylation markers in real-time monitoring sepsis-induced acute kidney injury.

Ruilian You, Xiangming Quan, Peng Xia, Chao Zhang, Anlei Liu, Hanshu Liu, Ling Yang, Huadong Zhu, Limeng Chen

Abstract read
In one paragraph

Article in Epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 citing papers in PubMed.

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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.

Ruilian YouDepartment of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China.
Xiangming QuanGenomics Institute, GenePlus-Beijing, Beijing, China.
Peng XiaDepartment of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China.
Chao ZhangGenomics Institute, GenePlus-Beijing, Beijing, China.
Anlei LiuDepartment of Emergency, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Hanshu LiuDepartment of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China.
Ling YangGenomics Institute, GenePlus-Beijing, Beijing, China.
Huadong ZhuDepartment of Emergency, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Limeng ChenDepartment of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis-induced acute kidney injury (SI-AKI) is a common clinical syndrome that is associated with high mortality and morbidity. Effective timely detection may improve the outcome of SI-AKI. Kidney-derived cell-free DNA (cfDNA) may provide new insight into understanding and identifying SI-AKI. Plasma cfDNA from 82 healthy individuals, 7 patients with sepsis non-acute kidney injury (SN-AKI), and 9 patients with SI-AKI was subjected to genomic methylation sequencing. We deconstructed the relative contribution of cfDNA from different cell types based on cell-specific methylation markers and focused on exploring the association between kidney-derived cfDNA and SI-AKI.Based on the deconvolution of the cfDNA methylome: SI-AKI patients displayed the elevated cfDNA concentrations with an increased contribution of kidney epithelial cells (kidney-Ep) DNA; kidney-Ep derived cfDNA achieved high accuracy in distinguishing SI-AKI from SN-AKI (AUC = 0.92, 95% CI 0.7801-1); the higher kidney-ep cfDNA concentrations tended to correlate with more advanced stages of SI-AKI; strikingly, SN-AKI patients with potential kidney damage unmet by SI-AKI criteria showed higher levels of kidney-Ep derived cfDNA than healthy individuals. The autonomous screening of kidney-Ep (

Indexed as

Acute Kidney InjuryCell-Free Nucleic AcidsDNA MethylationKidneySepsisAdultAgedBiomarkersEpithelial CellsFemaleHumansMaleMiddle AgedBiomarkersCell-Free Nucleic Acidscell-free DNAmethylationSepsis-induced acute kidney injury

Identifiers

PMID39370847
PMCPMC11459754

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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.