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SSBP1 mutations cause mtDNA depletion underlying a complex optic atrophy disorder
Valentina Del Dotto, … , Tommaso Pippucci, Valerio Carelli
Valentina Del Dotto, … , Tommaso Pippucci, Valerio Carelli
Published September 24, 2019
Citation Information: J Clin Invest. 2020;130(1):108-125. https://doi.org/10.1172/JCI128514.
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Research Article Genetics Ophthalmology Article has an altmetric score of 6

SSBP1 mutations cause mtDNA depletion underlying a complex optic atrophy disorder

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Abstract

Inherited optic neuropathies include complex phenotypes, mostly driven by mitochondrial dysfunction. We report an optic atrophy spectrum disorder, including retinal macular dystrophy and kidney insufficiency leading to transplantation, associated with mitochondrial DNA (mtDNA) depletion without accumulation of multiple deletions. By whole-exome sequencing, we identified mutations affecting the mitochondrial single-strand binding protein (SSBP1) in 4 families with dominant and 1 with recessive inheritance. We show that SSBP1 mutations in patient-derived fibroblasts variably affect the amount of SSBP1 protein and alter multimer formation, but not the binding to ssDNA. SSBP1 mutations impaired mtDNA, nucleoids, and 7S-DNA amounts as well as mtDNA replication, affecting replisome machinery. The variable mtDNA depletion in cells was reflected in severity of mitochondrial dysfunction, including respiratory efficiency, OXPHOS subunits, and complex amount and assembly. mtDNA depletion and cytochrome c oxidase–negative cells were found ex vivo in biopsies of affected tissues, such as kidney and skeletal muscle. Reduced efficiency of mtDNA replication was also reproduced in vitro, confirming the pathogenic mechanism. Furthermore, ssbp1 suppression in zebrafish induced signs of nephropathy and reduced optic nerve size, the latter phenotype complemented by WT mRNA but not by SSBP1 mutant transcripts. This previously unrecognized disease of mtDNA maintenance implicates SSBP1 mutations as a cause of human pathology.

Authors

Valentina Del Dotto, Farid Ullah, Ivano Di Meo, Pamela Magini, Mirjana Gusic, Alessandra Maresca, Leonardo Caporali, Flavia Palombo, Francesca Tagliavini, Evan Harris Baugh, Bertil Macao, Zsolt Szilagyi, Camille Peron, Margaret A. Gustafson, Kamal Khan, Chiara La Morgia, Piero Barboni, Michele Carbonelli, Maria Lucia Valentino, Rocco Liguori, Vandana Shashi, Jennifer Sullivan, Shashi Nagaraj, Mays El-Dairi, Alessandro Iannaccone, Ioana Cutcutache, Enrico Bertini, Rosalba Carrozzo, Francesco Emma, Francesca Diomedi-Camassei, Claudia Zanna, Martin Armstrong, Matthew Page, Nicholas Stong, Sylvia Boesch, Robert Kopajtich, Saskia Wortmann, Wolfgang Sperl, Erica E. Davis, William C. Copeland, Marco Seri, Maria Falkenberg, Holger Prokisch, Nicholas Katsanis, Valeria Tiranti, Tommaso Pippucci, Valerio Carelli

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Figure 6

Effect of SSBP1 mutation on mtDNA amount, nucleoids, and the dynamics of genome repopulation in fibroblasts.

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Effect of SSBP1 mutation on mtDNA amount, nucleoids, and the dynamics of...
(A) mtDNA copy number quantification reveals a depletion in all mutant cells. Data are shown as mean ± SD of controls (n = 21) and mutants (n = 6) except for R107Q I (n = 5). **P < 0.01; ***P < 0.001. (B) Representative live confocal images of fibroblasts labeled with PicoGreen (green) and MitoTracker red (red). Boxes on merged images correspond to magnified insets at right of each panel. Scale bars: 10 μm. (C) Quantification of nucleoids, expressed as the ratios between the percentage of the area occupied by nucleoids (PicoGreen, nuclei excluded) and the area occupied by mitochondria (MitoTracker), shows a significant reduction of nucleoid numbers in all mutant cell lines. Data are shown as mean ± SD of controls (n = 11) and mutants (n = 9). **P < 0.01; ***P < 0.001. (D) mtDNA repopulation after depletion by EtBr in fibroblasts. mtDNA content is shown as mean ± SEM of controls (n = 7) and mutant cells (n = 3). A severe effect is observed for p.R107Q and p.G40V cells. *P < 0.05, R107Q I cells versus controls; £P < 0.05, R107Q II cells versus controls; #P < 0.05, G40V cells versus controls; §P < 0.05, I132V cells versus controls. (E) Quantification of 7S in the same samples analyzed in D reveals a marked reduction in p.R107Q and G40V cells. Data are shown as mean ± SEM. *P < 0.05, R107Q I cells versus controls; £P < 0.05, R107Q II cells versus controls; #P < 0.05, G40V cells versus controls; §P < 0.05, I132V cells versus controls. (F) Western blot of TFAM, RNaseH1, POLγ,and TWINKLE expression levels; ACTIN was used as a loading control. One representative blot out of 3 is shown. (G) Densitometric analysis of data shown in F shows a reduction of some of the replisoma proteins in p.R107Q cells. All values (means ± SEM) are normalized to the control cells. *P < 0.05. Statistical significance was determined using 1-way ANOVA (A, D, and E), 2-way ANOVA (G) with Dunnett’s correction, or 1-way ANOVA with Tukey’s correction (C).

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ISSN: 0021-9738 (print), 1558-8238 (online)

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