Mitochondria interaction networks show altered topological patterns in Parkinson's disease

Mitochondrial dysfunction is linked to pathogenesis of Parkinson's disease (PD). However, individual mitochondria-based analyses do not show a uniform feature in PD patients. Since mitochondria interact with each other, we hypothesize that PD-related features might exist in topological patterns of mitochondria interaction networks (MINs). Here we show that MINs formed nonclassical scale-free supernetworks in colonic ganglia both from healthy controls and PD patients; however, altered network topological patterns were observed in PD patients. These patterns were highly correlated with PD clinical scores and a machine-learning approach based on the MIN features alone accurately distinguished between patients and controls with an area-under-curve value of 0.989. The MINs of midbrain dopaminergic neurons (mDANs) derived from several genetic PD patients also displayed specific changes. CRISPR/CAS9-based genome correction of alpha-synuclein point mutations reversed the changes in MINs of mDANs. Our organelle-interaction network analysis opens another critical dimension for a deeper characterization of various complex diseases with mitochondrial dysregulation.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:6

Enthalten in:

NPJ systems biology and applications - 6(2020), 1 vom: 10. Nov., Seite 38

Sprache:

Englisch

Beteiligte Personen:

Zanin, Massimiliano [VerfasserIn]
Santos, Bruno F R [VerfasserIn]
Antony, Paul M A [VerfasserIn]
Berenguer-Escuder, Clara [VerfasserIn]
Larsen, Simone B [VerfasserIn]
Hanss, Zoé [VerfasserIn]
Barbuti, Peter A [VerfasserIn]
Baumuratov, Aidos S [VerfasserIn]
Grossmann, Dajana [VerfasserIn]
Capelle, Christophe M [VerfasserIn]
Weber, Joseph [VerfasserIn]
Balling, Rudi [VerfasserIn]
Ollert, Markus [VerfasserIn]
Krüger, Rejko [VerfasserIn]
Diederich, Nico J [VerfasserIn]
He, Feng Q [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 04.10.2021

Date Revised 04.10.2021

published: Electronic

Citation Status MEDLINE

doi:

10.1038/s41540-020-00156-4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM317406876