Defining the progeria phenome.

aging clinical phenotype phenome premature aging progeria

Journal

Aging
ISSN: 1945-4589
Titre abrégé: Aging (Albany NY)
Pays: United States
ID NLM: 101508617

Informations de publication

Date de publication:
09 Feb 2024
Historique:
received: 04 08 2023
accepted: 17 11 2023
medline: 12 2 2024
pubmed: 12 2 2024
entrez: 12 2 2024
Statut: aheadofprint

Résumé

Progeroid disorders are a heterogenous group of rare and complex hereditary syndromes presenting with pleiotropic phenotypes associated with normal aging. Due to the large variation in clinical presentation the diseases pose a diagnostic challenge for clinicians which consequently restricts medical research. To accommodate the challenge, we compiled a list of known progeroid syndromes and calculated the mean prevalence of their associated phenotypes, defining what we term the 'progeria phenome'. The data were used to train a support vector machine that is available at https://www.mitodb.com and able to classify progerias based on phenotypes. Furthermore, this allowed us to investigate the correlation of progeroid syndromes and syndromes with various pathogenesis using hierarchical clustering algorithms and disease networks. We detected that ataxia-telangiectasia like disorder 2, spastic paraplegia 49 and Meier-Gorlin syndrome display strong association to progeroid syndromes, thereby implying that the syndromes are previously unrecognized progerias. In conclusion, our study has provided tools to evaluate the likelihood of a syndrome or patient being progeroid. This is a considerable step forward in our understanding of what constitutes a premature aging disorder and how to diagnose them.

Identifiants

pubmed: 38345566
pii: 205537
doi: 10.18632/aging.205537
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Cecilie Worm (C)

Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.

Maya Elena Ramirez Schambye (MER)

Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.

Garik V Mkrtchyan (GV)

Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.

Alexander Veviorskiy (A)

Insilico Medicine AI Limited, Level 6, Unit 08, Block A, IRENA HQ Building, Masdar City, Abu Dhabi, UAE.

Anastasia Shneyderman (A)

Insilico Medicine Hong Kong Limited, Science Park West Avenue, Hong Kong, China.

Ivan V Ozerov (IV)

Insilico Medicine Hong Kong Limited, Science Park West Avenue, Hong Kong, China.

Alex Zhavoronkov (A)

Insilico Medicine AI Limited, Level 6, Unit 08, Block A, IRENA HQ Building, Masdar City, Abu Dhabi, UAE.
Insilico Medicine Hong Kong Limited, Science Park West Avenue, Hong Kong, China.

Daniela Bakula (D)

Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.

Morten Scheibye-Knudsen (M)

Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.

Classifications MeSH