Susceptibility and screening approaches in systemic amyloidosis: expert perspectives from the International Society of Amyloidosis (ISA)

BACKGROUND: Systemic amyloidosis is a progressive disease in which misfolded protein toxicity and deposition lead to organ dysfunction. Early diagnosis is essential to enable timely treatment and prevent irreversible organ damage, yet the disease remains underrecognized. Although advances in imaging and biomarkers have raised suspicion in appropriate contexts, a major barrier is the absence of clearly defined factors identifying individuals at high risk who warrant timely screening. METHODS: On behalf of the International Society of Amyloidosis (ISA), experts in the field reviewed the diagnostic landscape and identified unmet needs in the early detection of systemic amyloidosis. RESULTS: The experts highlighted a lack of risk-adapted screening strategies capable of improving detection while avoiding inefficient population-level screening. They identified parameters that may help define high-risk populations, including biomarkers, susceptibility factors, demographic variables, and clinical 'red flags'. They further discussed how artificial intelligence (AI)-driven tools may support identification of at-risk individuals and accelerate diagnosis in suspected amyloidosis. CONCLUSIONS: Defining high-risk populations and integrating AI-based tools may enable risk-adapted screening that improves early diagnosis while avoiding indiscriminate population-level testing.

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Publication Details

Journal
Amyloid
Published
2026-09-04
DOI
https://doi.org/10.1080/13506129.2026.2718204
Primary Topic
Amyloidosis: Diagnosis, Treatment, Outcomes
Type
article
Field-Weighted Citation Impact
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article

Susceptibility and screening approaches in systemic amyloidosis: expert perspectives from the International Society of Amyloidosis (ISA)

Frederick L. Ruberg, Andrea Cortese, Efstathios Kastritis, Yoshiki Sekijima et al.
Amyloid
Amyloidosis: Diagnosis, Treatment, Outcomes
article

Susceptibility and screening approaches in systemic amyloidosis: expert perspectives from the International Society of Amyloidosis (ISA)

Frederick L. Ruberg, Andrea Cortese, Efstathios Kastritis, Yoshiki Sekijima, Paolo Milani, Raymond Comenzo, Lukas D. Weberling, Kevin M. Alexander, Taxiarchis Kourelis, Justin L. Grodin, Martha Grogan
article en

Abstract

BACKGROUND: Systemic amyloidosis is a progressive disease in which misfolded protein toxicity and deposition lead to organ dysfunction. Early diagnosis is essential to enable timely treatment and prevent irreversible organ damage, yet the disease remains underrecognized. Although advances in imaging and biomarkers have raised suspicion in appropriate contexts, a major barrier is the absence of clearly defined factors identifying individuals at high risk who warrant timely screening. METHODS: On behalf of the International Society of Amyloidosis (ISA), experts in the field reviewed the diagnostic landscape and identified unmet needs in the early detection of systemic amyloidosis. RESULTS: The experts highlighted a lack of risk-adapted screening strategies capable of improving detection while avoiding inefficient population-level screening. They identified parameters that may help define high-risk populations, including biomarkers, susceptibility factors, demographic variables, and clinical 'red flags'. They further discussed how artificial intelligence (AI)-driven tools may support identification of at-risk individuals and accelerate diagnosis in suspected amyloidosis. CONCLUSIONS: Defining high-risk populations and integrating AI-based tools may enable risk-adapted screening that improves early diagnosis while avoiding indiscriminate population-level testing.

Amyloid
Boston University (US), Tufts University (US), Tufts Medical Center (US), Shinshu University (JP), University of Milan (IT), Heidelberg University (DE), University Hospital Heidelberg (DE), Amyloidosis Foundation (US), Alexandra Hospital (GR), Mayo Clinic in Arizona (US), Stanford Medicine (US), National Hospital for Neurology and Neurosurgery (GB), Policlinico San Matteo Fondazione (IT), Fondazione IRCCS Istituto Neurologico Carlo Besta (IT), University College London (GB), The University of Texas Southwestern Medical Center (US), Stanford University (US)
Reduced inequalities
Openalex Percentile: Top 17%
Amyloidosis: Diagnosis, Treatment, Outcomes
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