Evidence map›Paper›PMID 42168444›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2026

A proteomic atlas phenotyping Fabry disease identifies a precise cardiovascular risk signature that integrates mitochondrial and lysosomal pathways.

Gaetano Santulli, Shivangi Pande, Fahimeh Varzideh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2026. 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

3 authors.

Gaetano SantulliDepartment of Molecular, Cellular and Biomedical Sciences, School of Medicine, City University of New York, Manhattan, NY, 10031, USA. gsantulli001@gmail.com.ORCID http://orcid.org/0000-0001-7231-375X
Shivangi PandeDepartment of Molecular, Cellular and Biomedical Sciences, School of Medicine, City University of New York, Manhattan, NY, 10031, USA.ORCID http://orcid.org/0009-0005-3097-6068
Fahimeh VarzidehDepartment of Molecular, Cellular and Biomedical Sciences, School of Medicine, City University of New York, Manhattan, NY, 10031, USA.ORCID http://orcid.org/0000-0003-2423-0831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fabry disease is an X-linked lysosomal storage disorder caused by α-galactosidase A deficiency, leading to progressive accumulation of Gb3 and lyso-Gb3 and a complex multisystem phenotype extending beyond substrate storage. Cardiovascular involvement remains the leading cause of morbidity and mortality, yet early detection and risk stratification remain challenging. In this context, a new proteomic study leveraging high-throughput proximity extension assays and machine learning has defined a cardiovascular risk signature in Fabry disease. Differential expression analysis identified widespread proteomic remodeling involving inflammatory signaling, extracellular matrix organization, angiogenesis, and metabolic pathways, supporting a systems-level view of disease pathogenesis. A 10-protein biosignature integrating markers of mitochondrial stress, lysosomal function, vascular remodeling, and immune activation demonstrated the ability to discriminate patients with cardiovascular involvement. Notably, proteins such as GDF15, NT-proBNP, NOS1, CTSF, and TNFRSF11B highlight the interplay between mitochondrial dysfunction, lysosomal impairment, and vascular inflammation. These findings suggest that Fabry cardiomyopathy reflects coordinated dysregulation across metabolic and inflammatory networks and that multi-protein signatures may improve precision phenotyping and cardiovascular risk prediction beyond conventional biomarkers.

Indexed as

Cardiovascular DiseasesFabry DiseaseLysosomesMitochondriaProteomeProteomicsBiomarkersHumansPhenotypeBiomarkersProteomeBioenergeticsFabry DiseaseFibrosisLysosomal storage disordersMitochondriaProteomics

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.