Evidence map›Paper›PMID 42205676›Full record

ArticleFrontiers in cell and developmental biology2026

Monocytes and neutrophils promote cardiac fibroblast pro-fibrotic phenotypes through IL-6 and MIF.

Zhongxiao Cong, Aleksandar Ivetic, Maddy Parsons

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zhongxiao CongRandall Centre for Cell and Molecular Biophysics, King's College London, Guy's Campus, London, United Kingdom.
Aleksandar IveticSchool of Cardiovascular and Metabolic Medicine and Sciences, James Black Centre, King's College London British Heart Foundation Centre of Excellence, London, United Kingdom.
Maddy ParsonsRandall Centre for Cell and Molecular Biophysics, King's College London, Guy's Campus, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac fibrosis, characterized by activation of cardiac fibroblasts and accumulation of extracellular matrix (ECM), is associated with most cardiac pathological conditions, leading to adverse cardiac remodeling and accelerating progression of heart failure. Immune cell recruitment is a hallmark of early fibrosis; however, the underlying mechanisms linking early inflammation, fibroblast activation and perpetuation of cardiac fibrosis remain unclear. In this study, cell-derived matrices (CDM) and collagen gels were used to investigate primary human cardiac fibroblast (HCF) pro-fibrotic response, native ECM synthesis and interactions with immune cells. Direct co-culture of HCF with THP-1 and HL-60 cells, or conditioned media from HCF-immune cell co-cultures, resulted in enhanced HCF-induced contraction of collagen gels - a finding recapitulated using primary human monocytes and neutrophils. Pro-fibrotic cytokines, macrophage migration inhibitory factor (MIF) and interleukin-6 (IL-6), were upregulated in HCF-immune co-cultures and were further confirmed as active regulators of HCF contraction using recombinant purified cytokines and function blocking antibodies. Live imaging revealed that THP-1 cells increased HCF migration, which was suppressed by an IL-6 neutralizing antibody. These findings provide insight into the effects of early exposure of HCF to immune cells and shed light on early pro-fibrotic initiation mechanisms and therapeutic targets.

Indexed as

cardiac fibrosiscontractioncytokine secretionextracellular matrixfibroblastsmigrationmonocytesneutrophils

Identifiers

PMID42205676
PMCPMC13201410

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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.