Evidence mapPaperPMID 30248148Full record

ArticlePloS one2018

Urinary proteomic signatures associated with β-blockade and heart rate in heart transplant recipients.

Qi-Fang Huang, Jan Van Keer, Zhen-Yu Zhang, Sander Trenson, Esther Nkuipou-Kenfack, Lucas N L Van Aelst, Wen-Yi Yang, Lutgarde Thijs, Fang-Fei Wei, Agnieszka Ciarka and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03152422 (Urinary Proteomics in Predicting Heart Transplantation Outcomes), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% 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.

NCT03152422 unknown statusnot on this map

Urinary Proteomics in Predicting Heart Transplantation Outcomes

TypeobservationalSponsorKU LeuvenRan2016 to 2025Enrolled352ConditionsHeart TransplantationArmsUrinary proteomics
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

15 authors at 5 institutions in 5 countries.

Qi-Fang HuangStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Jan Van KeerDivision of Cardiology, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0003-4490-5170
Zhen-Yu ZhangStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Sander TrensonDivision of Cardiology, University Hospitals Leuven, Leuven, Belgium.
Esther Nkuipou-KenfackMosaiques Diagnostics GmbH. Hannover, Germany.
Lucas N L Van AelstDivision of Cardiology, University Hospitals Leuven, Leuven, Belgium.
Wen-Yi YangStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Lutgarde ThijsStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Fang-Fei WeiStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Agnieszka CiarkaDivision of Cardiology, University Hospitals Leuven, Leuven, Belgium.
Johan VanhaeckeDivision of Cardiology, University Hospitals Leuven, Leuven, Belgium.
Stefan JanssensDivision of Cardiology, University Hospitals Leuven, Leuven, Belgium.
Johan Van CleemputDivision of Cardiology, University Hospitals Leuven, Leuven, Belgium.
Harald MischakMosaiques Diagnostics GmbH. Hannover, Germany.
Jan A StaessenStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.ORCID 0000-0002-3026-1637
KU Leuven · BEMosaiques Diagnostics and Therapeutics (Germany) · DEShanghai First People's Hospital · CNMaastricht University · NLRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHeart transplant (HTx) recipients have a high heart rate (HR), because of graft denervation and are frequently started on β-blockade (BB). We assessed whether BB and HR post HTx are associated with a specific urinary proteomic signature.

methodsIn 336 HTx patients (mean age, 56.8 years; 22.3% women), we analyzed cross-sectional data obtained 7.3 years (median) after HTx. We recorded medication use, measured HR during right heart catheterization, and applied capillary electrophoresis coupled with mass spectrometry to determine the multidimensional urinary classifiers HF1 and HF2 (known to be associated with left ventricular dysfunction), ACSP75 (acute coronary syndrome) and CKD273 (renal dysfunction) and 48 sequenced urinary peptides revealing the parental proteins.

resultsIn adjusted analyses, HF1, HF2 and CKD273 (p ≤ 0.024) were higher in BB users than non-users with a similar trend for ACSP75 (p = 0.06). Patients started on BB within 1 year after HTx and non-users had similar HF1 and HF2 levels (p ≥ 0.098), whereas starting BB later was associated with higher HF1 and HF2 compared with non-users (p ≤ 0.014). There were no differences in the urinary biomarkers (p ≥ 0.27) according to HR. BB use was associated with higher urinary levels of collagen II and III fragments and non-use with higher levels of collagen I fragments.

conclusionsBB use, but not HR, is associated with a urinary proteomic signature that is usually associated with worse outcome, because unhealthier conditions probably lead to initiation of BB. Starting BB early after HTx surgery might be beneficial.

Indexed as

Heart RateHeart TransplantationProteomeAdrenergic beta-AntagonistsAdultBiomarkersCatheterizationCross-Sectional StudiesFemaleHumansMaleMiddle AgedPeptidesProteomicsSensitivity and SpecificityAdrenergic beta-AntagonistsBiomarkersPeptidesProteome

Identifiers

PMID30248148
PMCPMC6152976
OpenAlexW2891639232

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.