Evidence map›Paper›PMID 35076541›Full record

ArticleNon-coding RNA2022

Circulating miRNAs and Vascular Injury Markers Associate with Cardiovascular Function in Older Patients Reaching End-Stage Kidney Disease.

Qiao Zhao, Sabine J L Nooren, Laurien E Zijlstra, Jos J M Westenberg, Lucia J M Kroft, J Wouter Jukema, Noeleen C Berkhout-Byrne, Ton J Rabelink, Anton Jan van Zonneveld, Marjolijn van Buren and 2 more

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 1 institution in 1 country.

Qiao ZhaoDepartment of Internal Medicine (Nephrology), Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Sabine J L NoorenDepartment of Internal Medicine (Nephrology), Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Laurien E ZijlstraDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Jos J M WestenbergDepartment of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-1946-1715
Lucia J M KroftDepartment of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
J Wouter JukemaDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Noeleen C Berkhout-ByrneDepartment of Internal Medicine (Nephrology), Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Ton J RabelinkDepartment of Internal Medicine (Nephrology), Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Anton Jan van ZonneveldDepartment of Internal Medicine (Nephrology), Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-1676-7738
Marjolijn van BurenDepartment of Internal Medicine (Nephrology), Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Simon P MooijaartDepartment of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Roel BijkerkDepartment of Internal Medicine (Nephrology), Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-6438-4133
Leiden University Medical Center · NL

Funding

European Foundation for the Study of DiabetesNierstichting 20OK015
6 · The paper itself

Abstract

The prevalence of end-stage kidney disease (ESKD) is rapidly increasing and mostly occurring in patients aged 65 years or older. The main cause of death in these patients is cardiovascular disease (CVD). Novel markers of vascular integrity may thus be of clinical value for identifying patients at high risk for CVD. Here we associated the levels of selected circulating angiogenic miRNAs, angiopoietin-2 (Ang-2) and asymmetric dimethylarginine (ADMA) with cardiovascular structure and function (as determined by cardiovascular MRI) in 67 older patients reaching ESKD that were included from 'The Cognitive decline in Older Patients with End stage renal disease' (COPE) prospective, multicentered cohort study. We first determined the association between the vascular injury markers and specific heart conditions and observed that ESKD patients with coronary heart disease have significantly higher levels of circulating ADMA and miR-27a. Moreover, circulating levels of miR-27a were higher in patients with atrial fibrillation. In addition, the circulating levels of the vascular injury markers were associated with measures of cardiovascular structure and function obtained from cardiovascular MRI: pulse wave velocity (PWV), ejection fraction (EF) and cardiac index (CI). We found Ang-2 and miR-27a to be strongly correlated to the PWV, while Ang-2 also associated with ejection fraction. Finally, we observed that in contrast to miR-27a, Ang-2 was not associated with a vascular cause of the primary kidney disease, suggesting Ang-2 may be an ESKD-specific marker of vascular injury. Taken together, among older patients with ESKD, aberrant levels of vascular injury markers (miR-27a, Ang-2 and ADMA) associated with impaired cardiovascular function. These markers may serve to identify individuals at higher risk of CVD, as well as give insight into the underlying (vascular) pathophysiology.

Indexed as

angiopoietin-2cardiovascular disease (CVD)end-stage kidney disease (ESKD)miRNAspulse wave velocity (PWV)

Identifiers

PMID35076541
PMCPMC8788543
OpenAlexW4206805773

What OpenQuestion holds

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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.