Dataset Information

Integrating protein networks and machine learning for disease stratification in the Hereditary Spastic Paraplegias.

ABSTRACT: The Hereditary Spastic Paraplegias are a group of neurodegenerative diseases characterized by spasticity and weakness in the lower body. Owing to the combination of genetic diversity and variable clinical presentation, the Hereditary Spastic Paraplegias are a strong candidate for protein-protein interaction network analysis as a tool to understand disease mechanism(s) and to aid functional stratification of phenotypes. In this study, experimentally validated human data were used to create a protein-protein interaction network based on the causative genes. Network evaluation as a combination of topological analysis and functional annotation led to the identification of core proteins in putative shared biological processes, such as intracellular transport and vesicle trafficking. The application of machine learning techniques suggested a functional dichotomy linked with distinct sets of clinical presentations, indicating that there is scope to further classify conditions currently described under the same umbrella-term of Hereditary Spastic Paraplegias based on specific molecular mechanisms of disease.

SUBMITTER: Vavouraki N

PROVIDER: S-EPMC8169945 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Integrating protein networks and machine learning for disease stratification in the Hereditary Spastic Paraplegias.

Vavouraki Nikoleta N Tomkins James E JE Kara Eleanna E Houlden Henry H Hardy John J Tindall Marcus J MJ Lewis Patrick A PA Manzoni Claudia C

iScience 20210428 5

The Hereditary Spastic Paraplegias are a group of neurodegenerative diseases characterized by spasticity and weakness in the lower body. Owing to the combination of genetic diversity and variable clinical presentation, the Hereditary Spastic Paraplegias are a strong candidate for protein-protein interaction network analysis as a tool to understand disease mechanism(s) and to aid functional stratification of phenotypes. In this study, experimentally validated human data were used to create a prot ...[more]

PMID: 34113825

Similar Datasets

Project description:BackgroundHereditary spastic paraplegias (HSP) is a heterogeneous group of rare neurodegenerative disorders affecting the corticospinal tracts. To date, more than 78 HSP loci have been mapped to cause HSP. However, both the clinical and mutational spectrum of Chinese patients with HSP remained unclear. In this study, we aim to perform a comprehensive analysis of clinical phenotypes and genetic distributions in a large cohort of Chinese HSP patients, and to elucidate the primary pathogenesis in this population.MethodsWe firstly performed next-generation sequencing targeting 149 genes correlated with HSP in 99 index cases of our cohort. Multiplex ligation-dependent probe amplification testing was further carried out among those patients without known disease-causing gene mutations. We simultaneously performed a retrospective study on the reported patients exhibiting HSP in other Chinese cohorts. All clinical and molecular characterization from above two groups of Chinese HSP patients were analyzed and summarized. Eventually, we further validated the cellular changes in fibroblasts of two major spastic paraplegia (SPG) patients (SPG4 and SPG11) in vitro.ResultsMost patients of ADHSP (94%) are pure forms, whereas most patients of ARHSP (78%) tend to be complicated forms. In ADHSP, we found that SPG4 (79%) was the most prevalent, followed by SPG3A (11%), SPG6 (4%) and SPG33 (2%). Subtle mutations were the common genetic cause for SPG4 patients and most of them located in AAA cassette domain of spastin protein. In ARHSP, the most common subtype was SPG11 (53%), followed by SPG5 (32%), SPG35 (6%) and SPG46 (3%). Moreover, haplotype analysis showed a unique haplotype was shared in 14 families carrying c.334C > T (p.R112*) mutation in CYP7B1 gene, suggesting the founder effect. Functionally, we observed significantly different patterns of mitochondrial dynamics and network, decreased mitochondrial membrane potential (Δψm), increased reactive oxygen species and reduced ATP content in SPG4 fibroblasts. Moreover, we also found the enlargement of LAMP1-positive organelles and abnormal accumulation of autolysosomes in SPG11 fibroblasts.ConclusionsOur study present a comprehensive clinical spectrum and genetic landscape for HSP in China. We have also provided additional evidences for mitochondrial and autolysosomal-mediated pathways in the pathogenesis of HSP.

Dataset Information

Integrating protein networks and machine learning for disease stratification in the Hereditary Spastic Paraplegias.

Publications

Integrating protein networks and machine learning for disease stratification in the Hereditary Spastic Paraplegias.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets