Evidence map›Paper›PMID 25107948›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2014

Evaluation of microRNAs miR-196a, miR-30a-5P, and miR-490 as biomarkers of disease activity among patients with FSGS.

Wanfen Zhang, Changming Zhang, Huimei Chen, Limin Li, Yuanmao Tu, Chunbei Liu, Shaolin Shi, Ke Zen, Zhihong Liu

Abstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

53 citing papers in PubMed, 96 citations in OpenAlex.

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  6. Precision medicine for focal segmental glomerulosclerosis.Kidney research and clinical practice · 2024
    Article
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  10. Emodin ameliorates renal injury and fibrosisFrontiers in pharmacology · 2023
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  15. Article
  16. Review
  17. Review
  18. Coronavirus Disease (COVID)-19 and Diabetic Kidney Disease.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Wanfen ZhangNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; and.
Changming ZhangNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; and.
Huimei ChenNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; and.
Limin LiJiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University School of Life Sciences, Nanjing, China.
Yuanmao TuNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; and.
Chunbei LiuNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; and.
Shaolin ShiNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; and.
Ke ZenNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; and Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University School of Life Sciences, Nanjing, China liuzhihong@nju.edu.cn kzen@nju.edu.cn.
Zhihong LiuNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China; and liuzhihong@nju.edu.cn kzen@nju.edu.cn.
Nanjing General Hospital of Nanjing Military Command · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThis study aimed to identify urinary microRNAs (miRNAs) as biomarkers for FSGS disease activity. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Candidate urinary miRNAs were identified in pooled urine samples from patients with active FSGS (FSGS-A) and FSGS in remission (FSGS-CR), and were then validated using individual samples. Their levels were compared both under different treatment responses in a prospective study of FSGS and in patients with different membranous nephropathy (MN) and diabetic nephropathy (DN) disease activity. The prediction of these miRNAs for treatment responses was further analyzed in both retrospective and prospective cohorts of patients with FSGS.

resultsAll 54 miRNAs were included as candidate biomarkers, including those with high levels in patients with FSGS-A (n=9) under the TaqMan Low Density Array as well as those with conserved expression in kidneys and involved in immune response. TaqMan probe-based quantitative RT-PCR confirmed the higher levels of four miRNAs in patients with FSGS-A in two independent cohorts (n=18 and n=80). Urinary miR-196a, miR-30a-5p, and miR-490 discriminated FSGS-A from FSGS-CR, with an area under the curve of ≥ 0.80. After steroid treatment, their levels were lower in steroid-responsive patients with FSGS (all P<0.001), but were unchanged in steroid-resistant patients. The levels of miRNAs were similar between active MN and MN in remission as well as active DN and incipient DN (all P>0.05). Urinary miR-30a-5p marginally predicted the response to steroid treatment in patients with FSGS-A, with an area under the curve of 0.63 (P=0.03).

conclusionsThe levels of urinary miR-196a, miR-30a-5p, and miR-490 are associated with FSGS disease activity.

Indexed as

BiomarkersFemaleGlomerulosclerosis, Focal SegmentalHumansMaleMicroRNAsProspective StudiesRetrospective StudiesBiomarkersMicroRNAsMIRN196 microRNA, humanMIRN30b microRNA, humanMIRN490 microRNA, humanbiomarkersFSGSmiRNAsurine

Identifiers

PMID25107948
PMCPMC4152819
OpenAlexW2104212366

What OpenQuestion holds

Textmetadata
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.