Evidence mapPaperPMID 40782797Full record

ReviewCell reports. Medicine2025

Inflammation reprogramming and immunomodulation: Next-generation treatments for atherosclerosis.

Robin P Choudhury, Rupen Hargreaves, Jason Chai, Edward A Fisher

Abstract readReview
In one paragraph

Review in Cell reports. Medicine, 2025. 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
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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Robin P ChoudhuryDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK. Electronic address: robin.choudhury@cardiov.ox.ac.uk.
Rupen HargreavesWeatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Jason ChaiDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Edward A FisherDepartment of Medicine (Cardiology), the Marc and Ruti Bell Program in Vascular Biology, and the Center for the Prevention of Cardiovascular Disease, New York University School of Medicine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current generation of highly successful atherosclerosis treatments, such as low-density lipoprotein (LDL)-cholesterol reduction, blood pressure management, and smoking cessation, has largely focused on ameliorating factors perceived to drive incident disease and its complications. The adverse contributions of these factors have typically been identified through epidemiological studies. The therapeutic strategies that arose in response focused on risk factors for disease development and tended to overlook the fact that patients already have established disease, by the time of presentation. However, by capitalizing on contemporary biological knowledge and technologies, it is becoming increasingly possible to shift from a model based on population-derived risk factor management to next-generation treatments (including monoclonal antibodies, small interfering RNA [siRNA], mRNA, epigenetic reprogramming, and gene editing) for atherosclerosis that are tailored to patient-level disease processes, informed by mechanistic characterization, offer potential to reverse or regress disease, and incorporate systems-level interventions that extend beyond the atherosclerotic plaque.

Indexed as

AtherosclerosisCellular ReprogrammingImmunomodulationInflammationAnimalsHumansatherosclerosisatherosclerosis regressionclonal hematopoiesisdiabetesepigeneticinflammationtherapeuticstrained immunity

Identifiers

PMID40782797
PMCPMC12490230

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.