Evidence map›Paper›PMID 40790290›Full record

ReviewMolecular imaging and biology2025

Fibrotic Disease: from Signaling Pathways and Biomarkers to Molecular Imaging.

Mobin Ghazaiean, Patrick J Riss, Alireza Mardanshahi, Sajjad Molavipordanjani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular imaging and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mobin GhazaieanStudent Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Patrick J RissSection of Organic Chemistry, Department of Chemistry, University of Oslo, Oslo, Norway.
Alireza MardanshahiDepartment of Radiology and Nuclear Medicine, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Sajjad MolavipordanjaniPharmaceutical Sciences Research Center, Hemoglobinopathy Institute, Mazandaran University of Medical Sciences, Sari, Iran. sajjad.molavi@gmail.com.ORCID 0000-0001-5143-9695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrotic diseases are characterized by excessive accumulation of extracellular matrix (ECM) components following tissue injury, ultimately leading to organ dysfunction and failure. The progression of fibrosis is governed by complex molecular signaling pathways, including TGF-β, PDGF, FGF, CTGF, VEGF, and many others, which regulate myofibroblast activation, ECM production, and tissue remodeling. Traditional diagnostic modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and biopsy are limited in their ability to distinguish active fibrogenesis from established fibrosis or detect early molecular changes. Recent advances in molecular imaging such as the development of targeted radiotracers and MRI contrast agents-have enabled more precise detection and characterization of fibrotic processes at both preclinical and clinical levels. The integration of molecular imaging with targeted probes holds promise for improving early diagnosis, guiding therapeutic strategies, and advancing clinical management of fibrosis. This review presents a comprehensive overview of the molecular mechanisms underlying fibrogenesis, highlights key signaling pathways and biomarkers, and discusses current and emerging molecular imaging agents for fibrotic diseases diagnosis and monitoring.

Indexed as

BiomarkersFibrosisMolecular ImagingSignal TransductionAnimalsExtracellular MatrixHumansBiomarkersFibrogenesisFibrosisFibrosis imagingMolecular imagingReceptor targetingTargeted radiotracers

Identifiers

What OpenQuestion holds

Textmetadata
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.