Evidence mapPaperPMID 36768933Full record

ReviewInternational journal of molecular sciences2023

Macrophage Phenotyping in Atherosclerosis by Proteomics.

Sonia Eligini, Erica Gianazza, Alice Mallia, Stefania Ghilardi, Cristina Banfi

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Deciphering Acute Coronary Syndromes Pathobiology Through Proteomics.Journal of cardiovascular development and disease · 2025
    Review
  4. Review
  5. Review
  6. Article
  7. The Role of Stem Cells in the Treatment of Cardiovascular Diseases.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. 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

5 authors.

Sonia EliginiCentro Cardiologico Monzino I.R.C.C.S., 20138 Milan, Italy.ORCID 0000-0002-5507-6737
Erica GianazzaCentro Cardiologico Monzino I.R.C.C.S., 20138 Milan, Italy.ORCID 0000-0003-2370-947X
Alice MalliaCentro Cardiologico Monzino I.R.C.C.S., 20138 Milan, Italy.ORCID 0000-0002-7088-9074
Stefania GhilardiCentro Cardiologico Monzino I.R.C.C.S., 20138 Milan, Italy.
Cristina BanfiCentro Cardiologico Monzino I.R.C.C.S., 20138 Milan, Italy.ORCID 0000-0003-3346-9879

Funding

Ministero della Salute 2764191
6 · The paper itself

Abstract

Macrophages are heterogeneous and plastic cells, able to adapt their phenotype and functions to changes in the microenvironment. They are involved in several homeostatic processes and also in many human diseases, including atherosclerosis, where they participate in all the stages of the disease. For these reasons, macrophages have been studied extensively using different approaches, including proteomics. Proteomics, indeed, may be a powerful tool to better understand the behavior of these cells, and a careful analysis of the proteome of different macrophage phenotypes can help to better characterize the role of these phenotypes in atherosclerosis and provide a broad view of proteins that might potentially affect the course of the disease. In this review, we discuss the different proteomic techniques that have been used to delineate the proteomic profile of macrophage phenotypes and summarize some results that can help to elucidate the roles of macrophages and develop new strategies to counteract the progression of atherosclerosis and/or promote regression.

Indexed as

AtherosclerosisPlaque, AtheroscleroticHumansMacrophage ActivationMacrophagesPhenotypeProteomeProteomicsProteomeatherosclerotic plaquemacrophageproteomics

Identifiers

PMID36768933
PMCPMC9917096

What Socratic 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 Socratic graph.