Evidence map›Paper›PMID 24778640›Full record

ArticleFrontiers in genetics2014

Inflammation blood and tissue factors of plaque growth in an experimental model evidenced by a systems approach.

Gualtiero Pelosi, Silvia Rocchiccioli, Antonella Cecchettini, Federica Viglione, Mariarita Puntoni, Oberdan Parodi, Enrico Capobianco, Maria G Trivella

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Deciphering Acute Coronary Syndromes Pathobiology Through Proteomics.Journal of cardiovascular development and disease · 2025
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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

8 authors at 2 institutions in 2 countries.

Gualtiero PelosiInstitute of Clinical Physiology, Consiglio Nazionale delle Ricerche Pisa, Italy.
Silvia RocchiccioliInstitute of Clinical Physiology, Consiglio Nazionale delle Ricerche Pisa, Italy.
Antonella CecchettiniInstitute of Clinical Physiology, Consiglio Nazionale delle Ricerche Pisa, Italy ; Department of Clinical and Experimental Medicine, University of Pisa Pisa, Italy.
Federica ViglioneInstitute of Clinical Physiology, Consiglio Nazionale delle Ricerche Pisa, Italy.
Mariarita PuntoniInstitute of Clinical Physiology, Consiglio Nazionale delle Ricerche Pisa, Italy.
Oberdan ParodiInstitute of Clinical Physiology, Consiglio Nazionale delle Ricerche Pisa, Italy.
Enrico CapobiancoLaboratory of Integrative Systems Medicine, Institute of Clinical Physiology, Consiglio Nazionale delle Ricerche Pisa, Italy ; Center for Computational Science, University of Miami Miami, FL, USA.
Maria G TrivellaInstitute of Clinical Physiology, Consiglio Nazionale delle Ricerche Pisa, Italy.
Istituto di Fisiologia Clinica · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe multifactorial pathogenesis of coronary atherosclerotic lesion formation has been investigated in a swine model of high cholesterol diet induced atherogenesis and data processed by a systems approach.

methodsFarm pigs were fed on standard or high cholesterol diet of 8 and 16 weeks duration. Plasma assessment of total cholesterol, HDL, LDL, and ELISA of some cytokines and ICAM-1 were performed on baseline and end-diet samples. Segments of the right coronary artery were incubated for 24 h in serum-free medium to collect secreted proteins and their expression analyzed by mass spectrometry. Data of plasma and tissue factors were processed by a statistical systems inference approach: both histologic parameters of coronary intimal thickness (IT) and of lesion area (LA) were chosen as dependent variables (coronary atherosclerotic burden).

resultsRelations among plasma adhesion molecules, cytokines, lipoproteins, tissue proteins and histology indexes were integrated in a model regression scheme. Bayesian model averaging (BMA) variable selection was chosen as a method to identify relevant factors associated to atherosclerotic burden: TNFα was identified as an associated plasma marker, oxLDL and HDL as relevant lipoproteins; macrophage function related antioxidant Catalase enzyme, lysosome associated Cathepsin D, S100-A10, and Transforming growth factor-beta-induced protein ig-h3 were identified and selected as associated to atherogenesis outcome.

conclusionsThe results of this systems approach are consistent with the hypothesis that, in high cholesterol diet-induced experimental atherogenesis, the interaction between plasma cytokines, lipoproteins and artery-specific proteins, influences lesion initiation and growth. In particular, some macrophage function related proteins are found significantly and positively associated to atherosclerotic burden, suggesting a novel molecular framework into the atherogenesis-inflammatory disorder.

Indexed as

Bayesian model averagingcoronary atherogenesisswine modelsystems biomedicinevascular inflammation

Identifiers

PMID24778640
PMCPMC3985011
OpenAlexW2096035298

What OpenQuestion holds

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LicenceCC BY
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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.