Evidence map›Paper›PMID 29636065›Full record

ArticleJournal of translational medicine2018

Urinary miR-196a predicts disease progression in patients with chronic kidney disease.

Changming Zhang, Shaoshan Liang, Shuiqin Cheng, Wei Li, Xia Wang, Chunxia Zheng, Caihong Zeng, Shaolin Shi, Lu Xie, Ke Zen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Precision medicine for focal segmental glomerulosclerosis.Kidney research and clinical practice · 2024
    Article
  6. Kidney fibrosis: from mechanisms to therapeutic medicines.Signal transduction and targeted therapy · 2023
    Review
  7. Review
  8. MicroRNAs in kidney injury and disease.Nature reviews. Nephrology · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. Coronavirus Disease (COVID)-19 and Diabetic Kidney Disease.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. 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

11 authors at 3 institutions in 1 country.

Changming ZhangNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Shaoshan LiangNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Shuiqin ChengNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Wei LiShanghai Center for Bioinformation Research Technology, Shanghai Academy of Science and Technology, Shanghai, China.
Xia WangNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Chunxia ZhengNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Caihong ZengNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Shaolin ShiNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Lu XieShanghai Center for Bioinformation Research Technology, Shanghai Academy of Science and Technology, Shanghai, China.
Ke ZenState Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, Nanjing University School of Life Sciences, Nanjing, 210093, Jiangsu, China. kzen@nju.edu.cn.
Zhihong LiuNational Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China. liuzhihong@nju.edu.cn.
Nanjing University · CNNanjing General Hospital of Nanjing Military Command · CNShanghai Academy of Science & Technology · CN

Funding

Innovation Capability Development Project of Jiangsu Province BM2015004National Key Research and Development Program of China 2016YFC0904100National Key Technology R&D Program 2015BAI12B05National Natural Science Foundation of China 81570644National Natural Science Foundation of China 81700628Research Funds of the Jinling Hospital 2014003
6 · The paper itself

Abstract

backgroundUrinary miRNAs may potentially serve as noninvasive biomarkers in various kidney diseases to reflect disease activity, severity and progression, especially those correlated with the pathogenesis of kidney diseases. This study demonstrates that urinary miR-196a, a kidney-enriched miRNA, can predict progression of chronic kidney disease (CKD).

methodsFocal segmental glomerulosclerosis (FSGS) cohorts were used as the representative example of CKD. First, correlation of miR-196a with disease activity was analyzed using paired urine and plasma samples from FSGS patients with nephrotic-range proteinuria (FSGS-A), complete remission (FSGS-CR) and normal controls (NCs). Then, the value of urinary miR-196a in predicting disease progression was validated using another cohort of 231 FSGS patients who were followed-up until over 36 months or reaching end-stage renal disease (ESRD). MiR-196a levels were analyzed by quantitative reverse transcription-polymerase chain reaction.

resultsThe results showed that urinary miR-196a significantly increased in FSGS-A compared with FSGS-CR and NCs, clearly distinguishing FSGS-A from FSGS-CR and NCs, whereas plasma miR-196a showed no difference among these groups. Moreover, urinary miR-196a, which was associated with proteinuria, estimated glomerular filtration rate (eGFR), interstitial fibrosis and tubular atrophy, significantly increased in patients progressed to ESRD compared to those not. Furthermore, patients with higher urinary miR-196a displayed poorer renal survival than those with lower urinary miR-196a. Multivariate Cox analysis confirmed urinary miR-196a as an independent risk factor for FSGS progression after adjusting for age, sex, proteinuria and eGFR. Prediction accuracy of ESRD was significantly improved by combining urinary miR-196a with other indicators including eGFR and proteinuria.

conclusionUrinary miR-196a may serve as a biomarker for predicting CKD progression.

Indexed as

Disease ProgressionAdultAtrophyFemaleFibrosisGlomerulosclerosis, Focal SegmentalHumansKidney Failure, ChronicMaleMicroRNAsPrognosisProportional Hazards ModelsProteinuriaRenal Insufficiency, ChronicRisk FactorsTreatment OutcomeMicroRNAsMIRN196 microRNA, humanBiomarkerCKD progressionFSGSUrinary MIR-196A

Identifiers

PMID29636065
PMCPMC5894160
OpenAlexW2801386637

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Registered trials

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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.