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

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.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2025-09-03
DOI
https://doi.org/10.3390/biom15091273
Citations
1
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Qinqin Deng, Longjiang Wu, Mei Dang, Chenlu Zhang
1 citations
Biomolecules
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
1.52
article

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

Qinqin Deng, Longjiang Wu, Mei Dang, Chenlu Zhang
article en
1 citations

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.

BiomoleculesVol. 15(9)
Shaanxi University of Technology (CN)
Openalex Percentile: Top 15%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.