Evidence map›Paper›PMID 40996589›Full record

ReviewJournal of cardiovascular translational research2025

Use of Sirolimus, an mTOR Inhibitor, to Treat Sarcoidosis in Multiple Systems.

Liam McGuire, Roxxy Brown, Angeliki Asimaki

Abstract readReview
In one paragraph

Review in Journal of cardiovascular translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. New Therapies for Sarcoidosis: Molecular and Pathophysiological Basis.International journal of molecular sciences · 2026
    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

3 authors.

Liam McGuireCardiovascular and Genomics Research Institute, School of Health & Medical Sciences, City St. George's, University of London, Cranmer Terrace, SW17 0RE, London, UK.
Roxxy BrownStrata Medical Research, North Miami, Florida, USA.
Angeliki AsimakiCardiovascular and Genomics Research Institute, School of Health & Medical Sciences, City St. George's, University of London, Cranmer Terrace, SW17 0RE, London, UK. aasimaki@sgul.ac.uk.ORCID 0000-0001-9886-6870

Funding

British Heart Foundation FS/PHD/24/29544
6 · The paper itself

Abstract

Sarcoidosis is a heterogenous, multi-systemic granulomatous disease with highly variable incidence (5-40/100,000) and a disproportionate mortality burden in those presented with pulmonary fibrosis or cardiac involvement. Yet, current management strategies are symptom-targeting, not always effective and come with significant side effects. Preclinical murine models of sarcoidosis have shown that aberrant mTORC1 activation promotes macrophage-driven inflammation and disrupts autophagic clearance, sustaining granuloma formation. Sirolimus, a selective mTORC1 inhibitor, restores autophagy and macrophage function, offering a targeted therapeutic approach. Herein, we present the first comprehensive review of all known clinical cases of sirolimus use in different forms of sarcoidosis. All studies reviewed suggest that sirolimus may be an effective, yet safe, mechanism-targeting therapy for patients with sarcoidosis not responding to conventional pharmacological interventions.

Indexed as

MTOR InhibitorsSarcoidosisSirolimusTOR Serine-Threonine KinasesAnimalsAutophagyHumansMechanistic Target of Rapamycin Complex 1Signal TransductionTreatment OutcomeMechanistic Target of Rapamycin Complex 1MTOR InhibitorsMTOR protein, humanSirolimusTOR Serine-Threonine KinasesmTORSarcoidosisSirolimus

Identifiers

PMID40996589
PMCPMC12701038

What OpenQuestion holds

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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.