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Research Paper|Volume 16, Issue 3|pp 2026—2046

Defining the progeria phenome

Cecilie Worm1, Maya Elena Ramirez Schambye1, Garik V. Mkrtchyan1, Alexander Veviorskiy2, Anastasia Shneyderman3, Ivan V. Ozerov3, Alex Zhavoronkov2,3, Daniela Bakula1, Morten Scheibye-Knudsen1
  • 1Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark
  • 2Insilico Medicine AI Limited, Level 6, Unit 08, Block A, IRENA HQ Building, Masdar City, Abu Dhabi, UAE
  • 3Insilico Medicine Hong Kong Limited, Science Park West Avenue, Hong Kong, China
* Equal contribution and co-first author
Received: August 4, 2023Accepted: November 17, 2023Published: February 9, 2024

Copyright: © 2024 Worm et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

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.