Evidence map›Paper›PMID 38250026›Full record

ArticleFrontiers in cardiovascular medicine2023

Plasma levels of autophagy regulator Rubicon are inversely associated with acute coronary syndrome.

Marie-Hélène Grazide, Jean-Bernard Ruidavets, Wim Martinet, Meyer Elbaz, Cécile Vindis

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 4 institutions in 2 countries.

Marie-Hélène GrazideCenter for Clinical Investigation (CIC1436)/CARDIOMET, Rangueil University Hospital, Toulouse, France.
Jean-Bernard RuidavetsDepartment of Epidemiology, INSERM UMR 1027, Toulouse, France.
Wim MartinetLaboratory of Physiopharmacology, University of Antwerp, Antwerp, Belgium.
Meyer ElbazCenter for Clinical Investigation (CIC1436)/CARDIOMET, Rangueil University Hospital, Toulouse, France.
Cécile VindisCenter for Clinical Investigation (CIC1436)/CARDIOMET, Rangueil University Hospital, Toulouse, France.
Université Fédérale de Toulouse Midi-Pyrénées · FRInserm · FRUniversité Toulouse III - Paul Sabatier · FRUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The discovery of novel biomarkers that improve current cardiovascular risk prediction models of acute coronary syndrome (ACS) is needed for the identification of very high-risk patients and therapeutic decision-making. Autophagy is a highly conserved catabolic mechanism for intracellular degradation of cellular components through lysosomes. The autophagy process helps maintain cardiac homeostasis and dysregulated autophagy has been described in cardiovascular conditions. Rubicon (Run domain Beclin-1-interacting and cysteine-rich domain-containing protein) is a key regulator of autophagy with a potential role in cardiac stress. Objectives: The aims of the present study were to assess whether changes in circulating Rubicon levels are associated with ACS and to evaluate the added value of Rubicon to a clinical predictive risk model. Methods and results: The study population included ACS patients ( Conclusions: Plasma levels of the autophagy regulator Rubicon are associated with ACS and provide added value to classical risk markers for ACS.

Indexed as

acute coronary syndromeautophagy regulatorbiomarkerrisk predictionRubicon

Identifiers

PMID38250026
PMCPMC10796531
OpenAlexW4390611241

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.