Distinct microRNA signatures define sporadic PSP-RS and PD in patient-derived midbrain organoids

Progressive supranuclear Palsy-Richardson syndrome (PSP-RS) is a rare, rapidly progressive tauopathy often misdiagnosed as Parkinson's disease (PD) due to overlapping clinical features and the lack of reliable molecular biomarkers. To address this need, we generated human midbrain organoids from induced pluripotent stem cells (iPSCs) derived from individuals with sporadic PSP-RS, PD, and healthy controls (HCs), and performed longitudinal small RNA sequencing to profile microRNA (miRNA) signatures. These 3D organoids recapitulated disease-relevant pathologies, including tau hyperphosphorylation in PSP-RS and α-synuclein aggregation in PD. Transcriptomic analysis revealed dynamic, disease-specific miRNA signatures. Notably, miR-5683, miR-873-5p, miR-219b-5p, and miR-219a-2-3p were enriched in PSP-RS, while PD organoids showed increased expression of miR-1-3p and miR-133b. Differential expression analysis identified miR-5683, miR-3085-3p, and miR-124-3p as robust classifiers distinguishing PSP-RS from controls. Our findings support iPSC-derived midbrain organoids as a relevant platform for modeling atypical parkinsonian syndromes and uncovering candidate miRNA biomarkers for early and differential diagnosis.

Authors

Institutions

Publication Details

Journal
iScience
Published
2025-07-18
DOI
https://doi.org/10.1016/j.isci.2025.113162
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinct microRNA signatures define sporadic PSP-RS and PD in patient-derived midbrain organoids

Andrea Quattrone, Graziano Pesole, Giovanni Cuda, Aldo Quattrone et al.
1 citations
iScience
Cancer-related molecular mechanisms research
0.94
article

Distinct microRNA signatures define sporadic PSP-RS and PD in patient-derived midbrain organoids

Andrea Quattrone, Graziano Pesole, Giovanni Cuda, Aldo Quattrone, Stefania Scalise, Fulvio Chiacchiera, Elvira Immacolata Parrotta, Clara Zannino, Mariagrazia Talarico, Ermes Filomena, Giorgia Lucia Benedetto, Valeria Lucchino, Davide Bressan, Desirèe Valente, Ida Lazzinnaro
article en
1 citations

Abstract

Progressive supranuclear Palsy-Richardson syndrome (PSP-RS) is a rare, rapidly progressive tauopathy often misdiagnosed as Parkinson's disease (PD) due to overlapping clinical features and the lack of reliable molecular biomarkers. To address this need, we generated human midbrain organoids from induced pluripotent stem cells (iPSCs) derived from individuals with sporadic PSP-RS, PD, and healthy controls (HCs), and performed longitudinal small RNA sequencing to profile microRNA (miRNA) signatures. These 3D organoids recapitulated disease-relevant pathologies, including tau hyperphosphorylation in PSP-RS and α-synuclein aggregation in PD. Transcriptomic analysis revealed dynamic, disease-specific miRNA signatures. Notably, miR-5683, miR-873-5p, miR-219b-5p, and miR-219a-2-3p were enriched in PSP-RS, while PD organoids showed increased expression of miR-1-3p and miR-133b. Differential expression analysis identified miR-5683, miR-3085-3p, and miR-124-3p as robust classifiers distinguishing PSP-RS from controls. Our findings support iPSC-derived midbrain organoids as a relevant platform for modeling atypical parkinsonian syndromes and uncovering candidate miRNA biomarkers for early and differential diagnosis.

iScienceVol. 28(8)
University of Trento (IT), Magna Graecia University (IT), Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies (IT), National Research Council (IT), University of Bari Aldo Moro (IT)
Alliance for Cancer Gene Therapy, British Computer Society, Centro universitario di ricerca e formazione per lo sviluppo competitivo delle imprese del settore vitivinicolo italiano, Università degli Studi di Firenze
Zero hunger
Openalex Percentile: Top 22%
Cancer-related molecular mechanisms research
0.94
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.