Evidence map›Paper›PMID 30097337›Full record

ArticleInternational journal of cardiology2019

Circulating long noncoding RNA DKFZP434I0714 predicts adverse cardiovascular outcomes in patients with end-stage renal disease.

Chun-Fu Lai, Yen-Ting Chen, Jian Gu, Jeanne M Nerbonne, Chin-Hsien Lin, Kai-Chien Yang

Abstract read
In one paragraph

Article in International journal of cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Non-Coding RNAs in Kidney Diseases: The Long and Short of Them.International journal of molecular sciences · 2021
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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 at 4 institutions in 2 countries.

Chun-Fu LaiDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Yen-Ting ChenGraduate Institute of Pharmacology, National Taiwan University College of Medicine, Taipei, Taiwan.
Jian GuThermo Fisher Scientific, Austin, TX, USA.
Jeanne M NerbonneDepartment of Developmental Biology and Center for Cardiovascular Research, Washington University School of Medicine, St Louis, MO, USA.
Chin-Hsien LinDepartment of Neurology, National Taiwan University Hospital, Taipei, Taiwan. Electronic address: chlin@ntu.edu.tw.
Kai-Chien YangGraduate Institute of Pharmacology, National Taiwan University College of Medicine, Taipei, Taiwan; Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan. Electronic address: kcyang@ntu.edu.tw.
National Taiwan University · TWNational Taiwan University Hospital · TWThermo Fisher Scientific (United States) · USWashington University in St. Louis · US

Funding

ION CHANNEL REGULATION AND MODULATION IN CARDIAC MUSCLER01HL034161 · NHLBI · WASHINGTON UNIVERSITY · PI NERBONNE, JEANNE M. · 1986 to 2015
$4.6M
NHLBI NIH HHS R01 HL034161
6 · The paper itself

Abstract

backgroundCardiovascular (CV) diseases are major causes of mortality in uremic patients. Conventional risk factors fail to identify uremic patients with increased propensity for adverse CV outcomes. We aimed to test the hypothesis that circulating long noncoding RNAs (lncRNAs) could be a prognostic marker to predict adverse CV outcomes in uremic patients. METHODS AND

resultsPlasma lncRNAs were profiled in patients with end-stage renal disease (ESRD, n = 28) or chronic kidney disease (CKD, n = 8) and in healthy (n = 12) subjects by RNA sequencing. A total of 179 lncRNAs were significantly dysregulated with ESRD; the expression signature of plasma lncRNAs distinguished ESRD from both CKD and control samples. Analysis on a microarray dataset obtained from renal biopsy samples of patients with advanced kidney disease (GSE66494) revealed that a significant proportion of plasma lncRNAs (30.7%) and mRNAs (49.5%) dysregulated with uremia were similarly dysregulated in diseased kidneys, suggesting that plasma RNA profiles mirror the transcriptomal changes in diseased kidney tissues. Further analyses identified eight plasma lncRNAs as potential predictors of adverse CV outcomes in uremic patients. Validation study in an independent cohort of ESRD patients (n = 111) confirmed that elevated plasma lncRNA DKFZP434I0714 is a significant independent predictor of adverse CV outcomes in uremic patients. Additional experiments demonstrated the functional involvement of DKFZP434I0714 in the pathogenesis of endothelial dysfunction.

conclusionsIn summary, plasma lncRNA expression signature reflects the disease states of uremia. Elevated plasma levels of lncRNA DKFZP434I0714 in uremic patients portend a worse CV outcome and warrant closer monitoring and more aggressive management.

Indexed as

Cardiovascular DiseasesHumansKidney Failure, ChronicPredictive Value of TestsRNA, Long NoncodingTreatment OutcomeRNA, Long NoncodingAdverse cardiovascular eventsBiomarkerEndothelial dysfunctionLong noncoding RNAPlasmaUremia

Identifiers

PMID30097337
PMCPMC6340736
OpenAlexW2887565144

What OpenQuestion holds

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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.