# Profibrotic Biomarkers Correlate with Clinical Presentation and Outcome in Cardiac Transthyretin Amyloidosis

## TL;DR

This study shows that profibrotic biomarkers are linked to clinical outcomes in cardiac transthyretin amyloidosis, offering new ways to assess risk and disease progression.

## Contribution

The study identifies specific fibrosis-related biomarkers that correlate with clinical outcomes in ATTR-CA, providing new prognostic tools.

## Key findings

- ATTR-CA patients have distinct fibrotic biomarker profiles compared to controls.
- Biomarkers like MMP-7, RAGE-AGE, and FGF-23 are strongly associated with adverse outcomes.
- Prediction models using IGFBP and TIMP markers effectively identify high-risk patients.

## Abstract

In transthyretin cardiac amyloidosis (ATTR-CA), misfolded transthyretin accumulates in the myocardium, leading to wall thickening and interstitial fibrosis. Recently published in vitro studies revealed direct effects of transthyretin on the structure, function, and gene expression of cardiac fibroblasts. Therefore, we hypothesized that biomarkers known to modulate myocardial remodeling might be clinically valuable in ATTR-CA and may improve risk stratification in ATTR-CA. To analyze this hypothesis, we evaluated 14 fibrosis-related biomarkers (EN-RAGE, IGFBP-1, -2, -3, -4, -6, FGF-23, MMP-2, -7, -9, -13, TIMP-2, -4, and RAGE-AGE) in 125 patients using Luminex multiplex assays. The study cohort consists of 14 asymptomatic gene carriers (ATTRv-asymp), 47 symptomatic hereditary (ATTRv-CA), 43 wild-type Transthyretin amyloidosis (ATTRwt) patients, and 21 were healthy controls (ctrl). Associations of fibrotic biomarkers and clinical routine data with clinical outcomes—cardiac decompensation (DMP) and transplantation/death (HTX)—were assessed via hierarchical cluster analysis, regression, and prediction modeling. We found that ATTR-CA patients showed distinct biomarker profiles compared to controls. Several markers (e.g., MMP-7, RAGE-AGE, IGFBP-1, FGF-23, TIMP-2) were significantly associated with both endpoints. Cluster analysis identified a high-risk phenotype (Cluster 2) with worse renal function, greater myocardial thickening, and elevated NT-proBNP, hsTNT. Prediction modeling revealed IGFPB-1, -3, -4 and -6 as well as FGF-23, TIMP-2, and RAGE/AGE as the best predictive parameters for cluster assignment. Taken together, these findings confirm our hypothesis that fibrosis-related biomarkers are associated with adverse outcomes in ATTR-CM. Profibrotic mediators such as IGFBP-1, FGF-23, and TIMP-2 may, therefore, provide additional prognostic information beyond established cardiac biomarkers and may reflect underlying fibrotic remodeling pathways.