Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark.
Insilico Medicine AI Limited, Level 6, Unit 08, Block A, IRENA HQ Building, Masdar City, Abu Dhabi, UAE.
Aging (Albany NY). 2024 Feb 9;16(3):2026-2046. doi: 10.18632/aging.205537.
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.
早衰症是一组罕见且复杂的遗传性疾病,具有与正常衰老相关的多种表型。由于临床表现存在很大差异,这些疾病给临床医生带来了诊断挑战,从而限制了医学研究。为了应对这一挑战,我们编制了一份已知早衰综合征的清单,并计算了其相关表型的平均患病率,定义了我们所谓的“早衰表型组”。这些数据被用于训练一个支持向量机,该机器可在 https://www.mitodb.com 上获得,并能够根据表型对早衰症进行分类。此外,这还使我们能够使用层次聚类算法和疾病网络研究各种发病机制的早衰症和综合征之间的相关性。我们发现,共济失调毛细血管扩张症样障碍 2、痉挛性截瘫 49 和 Meier-Gorlin 综合征与早衰症有很强的关联,这意味着这些综合征以前未被识别为早衰症。总之,我们的研究为评估综合征或患者是否为早衰症提供了工具。这是我们在理解构成过早衰老障碍的因素以及如何诊断它们方面迈出的重要一步。