| Literature DB >> 35617047 |
Jonathan Shintaku1, Wolfgang M Pernice1, Wafaa Eyaid2, Jeevan B Gc3, Zuben P Brown3, Marti Juanola-Falgarona1, Javier Torres-Torronteras4,5, Ewen W Sommerville6, Debby Mei Hellebrekers7, Emma L Blakely6,8, Alan Donaldson9, Ingrid van de Laar10, Cheng-Shiun Leu11, Ramon Marti4,5, Joachim Frank3,12, Kurenai Tanji1,13, David A Koolen14, Richard J Rodenburg15,16, Patrick F Chinnery17,18, H J M Smeets19,20, Gráinne S Gorman6,8, Penelope E Bonnen21, Robert W Taylor6,8, Michio Hirano1.
Abstract
Mitochondrial DNA (mtDNA) depletion/deletions syndromes (MDDS) encompass a clinically and etiologically heterogenous group of mitochondrial disorders caused by impaired mtDNA maintenance. Among the most frequent causes of MDDS are defects in nucleoside/nucleotide metabolism, which is critical for synthesis and homeostasis of the deoxynucleoside triphosphate (dNTP) substrates of mtDNA replication. A central enzyme for generating dNTPs is ribonucleotide reductase, a critical mediator of de novo nucleotide synthesis composed of catalytic RRM1 subunits in complex with RRM2 or p53R2. Here, we report 5 probands from 4 families who presented with ptosis and ophthalmoplegia as well as other clinical manifestations and multiple mtDNA deletions in muscle. We identified 3 RRM1 loss-of-function variants, including a dominant catalytic site variant (NP_001024.1: p.N427K) and 2 homozygous recessive variants at p.R381, which has evolutionarily conserved interactions with the specificity site. Atomistic molecular dynamics simulations indicate mechanisms by which RRM1 variants affect protein structure. Cultured primary skin fibroblasts of probands manifested mtDNA depletion under cycling conditions, indicating impaired de novo nucleotide synthesis. Fibroblasts also exhibited aberrant nucleoside diphosphate and dNTP pools and mtDNA ribonucleotide incorporation. Our data reveal that primary RRM1 deficiency and, by extension, impaired de novo nucleotide synthesis are causes of MDDS.Entities:
Keywords: Genetic diseases; Genetics; Mitochondria; Molecular pathology
Mesh:
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Year: 2022 PMID: 35617047 PMCID: PMC9246377 DOI: 10.1172/JCI145660
Source DB: PubMed Journal: J Clin Invest ISSN: 0021-9738 Impact factor: 19.456
Clinical characteristics of patients with RRM1 pathogenic variants
Figure 1Identification of MDDS and candidate RRM1 variants.
(A) Histology of muscle biopsy cross sections. Asterisks indicate ragged-blue (NADH-TR and SDH), COX-negative, and ragged-red (modified Gomori trichrome) fibers. Scale bar: 100 μm. (B) Family 1, (C) family 2, and (D) family 3 pedigrees, indicating affected individuals (black), WES (asterisks), and Sanger sequencing (+, normal; –, variant; ?, not done).
Figure 2Structural analysis and MD simulations of RRM1 variants.
(A) Surface rendering of RRM1 dimer with highlighted catalytic site (blue), specificity site composed of loop 1 (green) and loop 2 (yellow), and loci of RRM1 variants (pink). (B) Hydrogen bonds between p.R381 and the specificity site via p.E355 and p.S260. (C) RRM1 protomers (yellow and green), ligands TTP and GDP, and allosteric communication bridging the mutation, specificity site, and catalytic site. (D) Interprotomer BSA of WT, p.R381C, and p.R381H, with median values of 1830.6 Å2, 1734.8 Å2, and 1764.2 Å2, respectively. (E) Snapshots of the p.R381H MD simulation capture the reorientation of p.R293 and p.Q288. (F) Conformational distance between the p.R293 side chain guanidinium group and GDP. (G) Buried surface area of TTP.
Figure 3Functional characterization of RRM1 variants in primary fibroblasts.
(A) RNR activity of proband fibroblasts and 3 controls. Each control individual is represented by a distinct symbol. Identical symbols around each bar represent technical replicates. (B) Total NDPs from proliferating proband fibroblasts and 3 controls. (C) Mitochondrial dNTP pools of proliferating proband fibroblasts and 4 controls. (D) Proliferating fibroblast mtDNA quantitation. (E) Quiescent fibroblast mtDNA quantitation. (F) Southern blot indicating mtDNA ribonucleotide content. Maximum intensity plots illustrate the fragment size distribution of each lane. Representative of 3 experiments. (G) Variant allele frequency (VAF) histograms from WES data of proband 1a, proband 3, and 2 siblings of proband 1a as controls. We used 2-way ANOVA with the one individual per cell method to compare the mean outcome of each proband to the controls. Findings were considered as statistically significant if the corresponding P values were less than 0.05. *P < 0.05.