Evidence map›Paper›PMID 35053121›Full record

ArticleBiology2022

Secretome of Stressed Peripheral Blood Mononuclear Cells Alters Transcriptome Signature in Heart, Liver, and Spleen after an Experimental Acute Myocardial Infarction: An In Silico Analysis.

Caterina Selina Mildner, Dragan Copic, Matthias Zimmermann, Michael Lichtenauer, Martin Direder, Katharina Klas, Daniel Bormann, Alfred Gugerell, Bernhard Moser, Konrad Hoetzenecker and 4 more

Open access · goldAbstract read
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

14 authors at 2 institutions in 1 country.

Caterina Selina MildnerDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Dragan CopicDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-1005-2985
Matthias ZimmermannChristian Doppler Laboratory for Cardiac and Thoracic Diagnosis and Regeneration, Department of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-4610-7853
Michael LichtenauerDepartment of Internal Medicine II, Division of Cardiology, Paracelsus Medical University of Salzburg, 5020 Salzburg, Austria.
Martin DirederDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Katharina KlasDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Daniel BormannDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Alfred GugerellDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-5178-9967
Bernhard MoserDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-6037-5475
Konrad HoetzeneckerDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Lucian BeerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-4388-7580
Mariann GyöngyösiDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-7083-2107
Hendrik Jan AnkersmitDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Maria LaggnerDepartment of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Medical University of Vienna · ATUniversity of Salzburg · AT

Funding

Aposcience AG HJAAustrian Research Promotion Agency 852748Austrian Research Promotion Agency 862068Austrian Research Promotion Agency 888225Christian Doppler Laboratory for Diagnosis and Regeneration of Cardiac and Thoracic Diseases HJAVienna Business Agency 2343727
6 · The paper itself

Abstract

Acute myocardial infarction (AMI) is a result of cardiac non-perfusion and leads to cardiomyocyte necrosis, inflammation, and compromised cardiac performance. Here, we showed that the secretome of γ-irradiated peripheral blood mononuclear cells (PBMCsec) improved heart function in a porcine AMI model and displayed beneficial long- and short-term effects. As an AMI is known to strongly affect gene regulation of the ischemia non-affected heart muscle and distal organs, we employed a transcriptomics approach to further study the immediate molecular events orchestrated using the PBMCsec in myocardium, liver, and spleen 24 h post ischemia. In the infarcted area, the PBMCsec mainly induced genes that were essential for cardiomyocyte function and simultaneously downregulated pro-inflammatory genes. Interestingly, genes associated with pro-inflammatory processes were activated in the transition zone, while being downregulated in the remote zone. In the liver, we observed a pronounced inhibition of immune responses using the PBMCsec, while genes involved in urea and tricarboxylic cycles were induced. The spleen displayed elevated lipid metabolism and reduced immunological processes. Together, our study suggested several types of pharmacodynamics by which the PBMCsec conferred immediate cardioprotection. Furthermore, our data supported the assumption that an AMI significantly affects distal organs, suggesting that a holistic treatment of an AMI, as achieved by PBMCsec, might be highly beneficial.

Indexed as

acute myocardial infarctionischemia/reperfusionparacrine actionPBMC secretomeregenerative medicinetherapeutic secretome

Identifiers

PMID35053121
PMCPMC8772778
OpenAlexW4206640312

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.