Evidence map›Paper›PMID 40028530›Full record

ArticleHeliyon2025

Cell autonomous TLR4 signaling modulates TGF-β induced activation of human cardiac fibroblasts.

Gayathri Vijayakumar, Anisha Latha, Aiswaria P Anil, Yogini Surve, Aiswarya R, Bipin G Nair, Indulekha Cl Pillai

Abstract read
In one paragraph

Article in Heliyon, 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. Article
  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

7 authors.

Gayathri VijayakumarStem Cells and Regenerative Biology Lab, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India.
Anisha LathaStem Cells and Regenerative Biology Lab, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India.
Aiswaria P AnilStem Cells and Regenerative Biology Lab, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India.
Yogini SurveStem Cells and Regenerative Biology Lab, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India.
Aiswarya RStem Cells and Regenerative Biology Lab, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India.
Bipin G NairAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India.
Indulekha Cl PillaiStem Cells and Regenerative Biology Lab, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis is one of the major outcomes following injury in the heart. Immune response in the injury niche modulates fibrosis, yet little is known about how cell-autonomous immune signaling in adult cardiac fibroblasts regulates fibrosis. Using FACS, single-cell sequencing of cardiac fibroblasts from Collagen1-α1GFP mice and human heart failure patients, we demonstrate that TLR4 is the major immune sensor expressed in cardiac fibroblasts. Inhibition of TLR4 signaling reduces TGF-β induced fibrotic changes such as contractibility and migration of adult human cardiac fibroblasts in TGF-β treated fibrotic conditions. TGF-β treated cardiac fibroblastss show enhanced cytokine expression, and inhibition of TLR4 signaling reduces the expression of cytokines, thereby reducing TGF-β targets such as extracellular matrix genes. Thus, our data demonstrate that TLR4 and other signaling molecules downstream of TLR4 are expressed in cardiac fibroblast, and inhibition of TLR4 modulates fibrotic changes in vitro.

Identifiers

PMID40028530
PMCPMC11868938

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.