Evidence map›Paper›PMID 33307899›Full record

ArticleThe Journal of international medical research2020

Identification of a genome-wide serum microRNA expression profile as potential noninvasive biomarkers for chronic kidney disease using next-generation sequencing.

Xinying Liu, Weijie Wang, Yaling Bai, Huiran Zhang, Shenglei Zhang, Lei He, Wei Zhou, Dongxue Zhang, Jinsheng Xu

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
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 1 institution in 1 country.

Xinying LiuDepartment of Nephrology, The Fourth Hospital of Hebei Medical University, Hebei Key Laboratory of Vascular Calcification in Kidney Disease, Hebei Clinical Research Center for Chronic Kidney Disease, Shijiazhuang, China.
Weijie WangDepartment of Pathogen Biology, Hebei Medical University, Shijiazhuang, China.
Yaling BaiDepartment of Nephrology, The Fourth Hospital of Hebei Medical University, Hebei Key Laboratory of Vascular Calcification in Kidney Disease, Hebei Clinical Research Center for Chronic Kidney Disease, Shijiazhuang, China.
Huiran ZhangDepartment of Nephrology, The Fourth Hospital of Hebei Medical University, Hebei Key Laboratory of Vascular Calcification in Kidney Disease, Hebei Clinical Research Center for Chronic Kidney Disease, Shijiazhuang, China.
Shenglei ZhangDepartment of Nephrology, The Fourth Hospital of Hebei Medical University, Hebei Key Laboratory of Vascular Calcification in Kidney Disease, Hebei Clinical Research Center for Chronic Kidney Disease, Shijiazhuang, China.
Lei HeDepartment of Nephrology, The Fourth Hospital of Hebei Medical University, Hebei Key Laboratory of Vascular Calcification in Kidney Disease, Hebei Clinical Research Center for Chronic Kidney Disease, Shijiazhuang, China.
Wei ZhouDepartment of Nephrology, The Fourth Hospital of Hebei Medical University, Hebei Key Laboratory of Vascular Calcification in Kidney Disease, Hebei Clinical Research Center for Chronic Kidney Disease, Shijiazhuang, China.
Dongxue ZhangDepartment of Nephrology, The Fourth Hospital of Hebei Medical University, Hebei Key Laboratory of Vascular Calcification in Kidney Disease, Hebei Clinical Research Center for Chronic Kidney Disease, Shijiazhuang, China.
Jinsheng XuDepartment of Nephrology, The Fourth Hospital of Hebei Medical University, Hebei Key Laboratory of Vascular Calcification in Kidney Disease, Hebei Clinical Research Center for Chronic Kidney Disease, Shijiazhuang, China.ORCID https://orcid.org/0000-0001-6735-6579
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify serum microRNAs (miRNAs) as potential non-invasive biomarkers for patients with chronic kidney disease (CKD).

methodsWe collected serum samples from healthy controls, CKD stage 1 (CKD1), and stage 5 (CKD5) patients with primary glomerulonephritis (GN), screened differentially expressed miRNAs (DEMs) using next-generation sequencing (NGS), and confirmed the sequencing data using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR).

resultsWe identified 20 and 42 DEMs in the CKD1 and CKD5 patients compared with the controls, respectively, and 70 DEMs in the CKD5 compared with the CKD1 patients. The qRT-PCR results showed that miR-483-5p was up-regulated in the CKD1 and CKD5 patients compared with controls (fold change = 2.56 and 18.77, respectively). miR-363-3p was down-regulated in the CKD5 patients compared with the controls and CKD1 patients (fold change = 0.27 and 0.48, respectively).

conclusionWe identified a genome-wide serum miRNA expression profile in CKD patients, and serum miR-483-5p and miR-363-3p may act as potential diagnostic biomarkers for CKD.

Indexed as

MicroRNAsRenal Insufficiency, ChronicBiomarkersBiomarkers, TumorGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansBiomarkersBiomarkers, TumorMicroRNAsMIRN363 microRNA, humanMIRN483 microRNA, humanbiomarkerChronic kidney diseasemicroRNAnext-generation sequencingnoninvasiveprimary glomerulonephritis

Identifiers

PMID33307899
PMCPMC7739098
OpenAlexW3112653618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.