www.mitodb.com, containing the clinical features of primary mitochondrial diseases. Based on this we developed a number of qualitative and quantitative measures, enabling us to determine whether a disorder can be characterized as mitochondrial. These included a clustering algorithm, a disease network, a mitochondrial barcode and two scoring algorithms. Using these tools we detected mitochondrial involvement in a number of diseases not previously recorded as mitochondrial. As a proof of principle Cockayne syndrome, ataxia with oculomotor apraxia 1 (AOA1), spinocerebellar ataxia with axonal neuropathy 1 (SCAN1) and ataxia-telangiectasia have recently been shown to have mitochondrial dysfunction and those diseases showed strong association with mitochondrial disorders. We next evaluated mitochondrial involvement in aging and detected two distinct categories of accelerated aging disorders, one of them being associated with mitochondrial dysfunction. Normal aging seemed to associate stronger with the mitochondrial diseases than the non-mitochondrial partially supporting a mitochondrial theory of aging.

" name="description"> A novel diagnostic tool reveals mitochondrial pathology in human diseases and aging - Figure F2 | Aging
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Research Paper Volume 5, Issue 3 pp 192—208

A novel diagnostic tool reveals mitochondrial pathology in human diseases and aging

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Figure 2. Putative mitochondrial diseases are identified using www.mitodb.com.

(A) The clustering of several diseases of unknown pathogenesis with recently recognized mitochondrial dysfunction (blue) and mitochondrial (red) and non-mitochondrial diseases (green). AOA1: Ataxia with oculomotor apraxia 1; SCAN1: Spinocerebellar ataxia with axonal neuropathy 1. (B) A representation of how the putative mitochondrial diseases (blue) associate within the disease network. Each dot represents a disease and the closer two diseases are connected the shorter the distance between them. Mitochondrial diseases: red; non-mitochondrial diseases: green. (C) The mitochondrial barcode of a number of diseases. Each bar represents a clinical parameter that is shared with another disease in the database. Red is mitochondrial diseases, green is non-mitochondrial and blue is diseases of unknown pathogenesis. The tint is given by the percentage of patients that are affected in the disease tested multiplied by the percentage of patients that are affected in the disease in the database that shares the parameter. IOSCA: infantile onset spinocerebellar ataxia (D) The mito score of the putative mitochondrial diseases and two bona fide mitochondrial (MERFF and MELAS) and two non-mitochondrial (cystic fibrosis and Crouzon syndrome) diseases. (E) The SVM score of the tested diseases and two mitochondrial (MERFF and MELAS) and two non-mitochondrial (cystic fibrosis and Crouzon syndrome) diseases.