Evidence map›Paper›PMID 41008580›Full record

ArticleBiomolecules2025

Global Fibrosis Burden and a Transcriptional Biomarker-Based Strategy for Early Detection in Resource-Limited Settings.

Qinqin Deng, Longjiang Wu, Chenlu Zhang, Mei Dang

Abstract read
In one paragraph

Article in Biomolecules, 2025. 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. 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.

Qinqin DengCollege of Biological Sciences and Engineering, Shaanxi University of Technology, Hanzhong 723000, China.
Longjiang WuCollege of Biological Sciences and Engineering, Shaanxi University of Technology, Hanzhong 723000, China.ORCID 0000-0003-2617-8811
Chenlu ZhangCollege of Biological Sciences and Engineering, Shaanxi University of Technology, Hanzhong 723000, China.
Mei DangCollege of Biological Sciences and Engineering, Shaanxi University of Technology, Hanzhong 723000, China.ORCID 0000-0002-2660-3323

Funding

Qinba Biological Resources and Ecological Environment Provincial-Ministry Joint State Key La-boratory (Cultivation) "City-University Co-construction" Research Special Project SXZC-2301the Natural Science Foundation of Shaanxi Province 2024JC-YBQN-0180the Scientific Research Program of the Education Department of Shaanxi Province 23JK0359
6 · The paper itself

Abstract

Fibrotic diseases contribute to nearly half of all deaths in industrialized countries, yet effective early detection strategies remain lacking, particularly in low-resource settings. This study aimed to quantify the global burden of fibrosis-related diseases using updated global burden of disease (GBD) 2021 data across 204 countries and territories and establish a cost-effective diagnostic approach targeting vestigial-like family member 3 (VGLL3), a fibrosis-associated transcriptional co-regulator. Our analysis revealed that from 1990 to 2021, fibrosis-related disability-adjusted life years (DALYs) and mortality increased by 16.71% and 4.83%, respectively, with neoplasms and chronic obstructive pulmonary disease (COPD) being the main contributors. We also found a growing burden disproportionately concentrated in low socio-demographic index (SDI) regions. To address the diagnostic gap, we developed a novel immunoassay targeting VGLL3, an intrinsically disordered transcriptional co-regulator implicated in early fibrotic remodeling. The assay demonstrated a detection range of 27.01-2512.36 nM and a limit of detection of 12.55 nM. Immunohistochemical validation in a mouse myocardial infarction model confirmed the antibody's specificity in fibrotic tissues. This work highlights widening global health disparities in fibrosis burden and introduces a cost-effective, scalable diagnostic strategy for early fibrosis detection, particularly suitable for resource-limited settings.

Indexed as

FibrosisTranscription FactorsAnimalsBiomarkersDisability-Adjusted Life YearsEarly DiagnosisGlobal Burden of DiseaseHumansMiceResource-Limited SettingsBiomarkersTranscription Factorsearly diagnosisfibrosisglobal burden of disease (GBD)health disparitiesintrinsically disordered proteinsprotein biomarkersresource-limited settingsvestigial-like family member 3 (VGLL3)

Identifiers

PMID41008580
PMCPMC12467191

What OpenQuestion holds

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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.