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Research Article
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Novel DNM1L variants impair mitochondrial dynamics through divergent mechanisms

View ORCID ProfileKelsey A Nolden, John M Egner, Jack J Collier, Oliver M Russell, Charlotte L Alston, Megan C Harwig, Michael E Widlansky, View ORCID ProfileSouphatta Sasorith, View ORCID ProfileInês A Barbosa, View ORCID ProfileAndrew GL Douglas, View ORCID ProfileJulia Baptista, Mark Walker, Deirdre E Donnelly, View ORCID ProfileAndrew A Morris, Hui Jeen Tan, Manju A Kurian, Kathleen Gorman, View ORCID ProfileSantosh Mordekar, Charu Deshpande, Rajib Samanta, Robert McFarland, View ORCID ProfileR Blake Hill, View ORCID ProfileRobert W Taylor, View ORCID ProfileMonika Oláhová  Correspondence email
Kelsey A Nolden
1Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
Roles: Conceptualization, Data curation, Software, Formal analysis, Investigation, Methodology, Writing—original draft, review, and editing
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John M Egner
1Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing—original draft
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Jack J Collier
2Wellcome Centre for Mitochondrial Research, Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle upon Tyne, UK
3Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
Roles: Data curation, Software, Formal analysis, Investigation, Methodology, Writing—original draft
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Oliver M Russell
2Wellcome Centre for Mitochondrial Research, Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle upon Tyne, UK
Roles: Software, Formal analysis, Investigation, Writing—review and editing
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Charlotte L Alston
2Wellcome Centre for Mitochondrial Research, Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle upon Tyne, UK
4The National Health Service (NHS) Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
Roles: Formal analysis and investigation
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Megan C Harwig
1Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
Roles: Software, Formal analysis, Investigation, Writing—review and editing
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Michael E Widlansky
5Department of Medicine, Division of Cardiovascular Medicine and Department of Pharmacology, Medical College of Wisconsin, Milwaukee, WI, USA
Roles: Investigation
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Souphatta Sasorith
6Laboratoire de Génétique Moléculaire, Centre Hospitalier Universitaire and PhyMedExp, INSERM U1046, CNRS UMR 9214, Montpellier, France
Roles: Software and formal analysis
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  • ORCID record for Souphatta Sasorith
Inês A Barbosa
7Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King’s College London, London, UK
Roles: Formal analysis and investigation
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  • ORCID record for Inês A Barbosa
Andrew GL Douglas
8Wessex Clinical Genetics Service, University Hospital Southampton NHS Foundation Trust, Southampton, UK
9Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
Roles: Investigation
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Julia Baptista
10Peninsula Medical School, Faculty of Health, University of Plymouth, Plymouth, UK
Roles: Formal analysis and investigation
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  • ORCID record for Julia Baptista
Mark Walker
11Department of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
Roles: Investigation
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Deirdre E Donnelly
12Northern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Belfast, UK
Roles: Investigation
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Andrew A Morris
13Willink Metabolic Unit, Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
Roles: Investigation
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Hui Jeen Tan
14Department of Paediatric Neurology, Royal Manchester Children’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
Roles: Formal analysis and investigation
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Manju A Kurian
15Developmental Neurosciences Department, Zayed Centre for Research into Rare Diseases in Children, University College London Great Ormond Street Institute of Child Health, Faculty of Population Health Sciences, London, UK
Roles: Investigation
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Kathleen Gorman
16Department of Neurology and Clinical Neurophysiology, Children’s Health Ireland at Temple Street, Dublin, Ireland
17School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
Roles: Formal analysis and investigation
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Santosh Mordekar
18Department of Paediatric Neurology, Sheffield Children’s Hospital, Sheffield, UK
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Charu Deshpande
19Clinical Genetics Unit, Guys and St. Thomas’ NHS Foundation Trust, London, UK
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Rajib Samanta
20Department of Paediatric Neurology, University Hospitals Leicester NHS Trust, Leicester, UK
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Robert McFarland
2Wellcome Centre for Mitochondrial Research, Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle upon Tyne, UK
4The National Health Service (NHS) Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
Roles: Investigation, Writing—review and editing
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R Blake Hill
1Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA
Roles: Supervision, Funding acquisition, Investigation, Writing—review and editing
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Robert W Taylor
2Wellcome Centre for Mitochondrial Research, Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle upon Tyne, UK
4The National Health Service (NHS) Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
Roles: Data curation, Supervision, Funding acquisition, Investigation, Writing—review and editing
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Monika Oláhová
2Wellcome Centre for Mitochondrial Research, Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle upon Tyne, UK
Roles: Conceptualization, Data curation, Formal analysis, Supervision, Funding acquisition, Investigation, Methodology, Writing—original draft, review, and editing
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  • ORCID record for Monika Oláhová
  • For correspondence: monika.olahova@ncl.ac.uk
Published 1 August 2022. DOI: 10.26508/lsa.202101284
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  • Figure 1.
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    Figure 1. Identification of five individuals harbouring de novo pathogenic variants in DNM1L.

    (A) Family pedigrees of DNM1L patients. Affected individuals are shown in black, squares represent males, circles represent females, triangles represent pregnancy not carried to term, and a diagonal line through the symbols indicates deceased subjects. (B) Schematic representation of known DRP1 variants and DRP1 protein domain organization: BSE (bundle signalling element), GTPase domain, stalk domain, variable domain (VD), and the GTPase effector domain (GED). Variants identified in this study are shown in black and previously reported variants are in grey. Partial amino acid sequence alignments of DRP1 showing evolutionary conservation across different species.

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    Figure 2. In silico structural studies of DRP1 variants.

    (A) Locations of pathogenic variants marked on the crystal structure of nucleotide-free DRP1 (PDB: 4BEJ). (B, C, D) Residue–residue interactions and spatial relationships of residues to neighbouring motifs or DRP1 monomers of the wild-type version of residues from (A) (CryoEM structure of DRP1 assembled and in complex with MID49, PDB: 5WP9). (B) Both G363 and G401 are α-helix capping residues found in close-proximity to each other between neighbouring DRP1 monomers. Substitution of either glycine to a charged aspartate (G363D) or polar serine (G401S) would induce unfavourable steric clashes with neighbouring residues and disrupt helix stability. (C) L230 is located within a small α helix between the G4 and G5 loop motifs, critical for nucleotide binding. Addition of another leucine to this helix may disrupt these motifs, impairing GTP binding. (D) The helix containing L230 is adjacent to the MID49 binding surface and the L230 duplication in this location may have negative effects on MID49 binding and recruitment of DRP1 to the mitochondria. (E) The residue R710G, located within the bundle signalling element domain, forms a salt bridge with E702. The R710G substitution would induce a loss of this salt bridge.

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    Figure 3. The impact of DNM1L variants on mitochondrial network length and DRP1 mitochondrial co-localisation.

    (A) Representative images of TMRM-stained mitochondrial network in paediatric (C1 and C2) and adult (C3 and C4) controls and DNM1L patient (P1–P4) fibroblasts. (B) Quantification of mean mitochondrial network length via MiNa using ImageJ n > 20 fields from two independent experiments, calculated by multiplying mean branch length and mean number of branches per network. Non-parametric one-way ANOVA and Dunn’s multiple comparisons using GraphPad Prism were used to calculate statistically significant differences between groups. (C) Mitochondrial network length using immunofluorescence analysis of fixed paediatric control (C1), adult control (C2), and DNM1L patient (P1–P4) fibroblasts labelled with TOM20 antibodies. The Columbus (PerkinElmer) software was used to quantify the hyperfusion of patient mitochondrial networks relative to controls and a minimum of 5,500 mitochondria were analysed for each case. The immunofluorescence labelling was performed three times. (D) Analysis of DRP1 co-localisation with the outer mitochondrial membrane protein TOM20 by immunofluorescence labelling of age-matched controls (C1: paediatric, C2: adult) and DNM1L patient (P1–P4) fibroblasts with anti-DRP1 (red puncta) and anti-TOM20 (in blue). DRP1 co-localisation with mitochondria was analysed in at least 32 cells per subject in two independent experimental sets. Pearson’s correlations between DRP1 puncta and TOM20 in each cell line are shown as box plots. One-way ANOVA with post hoc Tukey’s honest significant difference test was used to determine statistically significant differences (***P ≤ 0.001). Representative merged immunofluorescence images of fibroblasts stained with anti-TOM20 and anti-DRP1 antibodies are shown on the left.

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    Figure 4. The effect of DNM1L variants on peroxisomal morphology and co-localisation of DRP1 with peroxisomes.

    (A) Analysis of peroxisome length by immunofluorescence using a peroxisomal membrane marker (PMP70) in fixed age-matched controls (C1: paediatric, C2: adult) and DNM1L patient (P1–P4) fibroblasts. The Columbus (PerkinElmer) software was used to quantify the peroxisome length between patients and controls. The immunofluorescence labelling was performed three times and a minimum of 300 peroxisomes were analysed in each case. Statistically significant differences between groups were determined by a non-parametric one-way ANOVA (***P ≤ 0.001). Representative images of fixed cells stained for peroxisomes (PMP70) in control (C1 and C2) and DNM1L patient (P1–P4) fibroblasts are shown on the left. (B) Immunofluorescence analysis of DRP1 puncta (red) co-localising with peroxisomes (PMP70 in blue) in age-matched control (C1: paediatric, C2: adult) and DNM1L patient (P1–P4) fibroblasts. The analysis was performed on at least 32 cells from two independent experimental sets and mean values showing Pearson’s correlation between the proportion of DRP1 puncta and peroxisomal marker PMP70 are shown. Statistically significant differences were calculated via a one-way ANOVA with post-hoc Tukey’s honest significant difference test (***P ≤ 0.001). Representative merged immunofluorescence images of PMP70 and DRP1 stained cells are shown on the left.

  • Figure S1.
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    Figure S1. Enlarged mitochondrial nucleoids identified in P1 and P2 DNM1L patient fibroblasts.

    (A) Enlarged mitochondrial nucleoids observed in P1 (p.Gly401Ser), P2 (p.Glys363Asp), P3 (p.Leu230dup), and P4 (p.Arg710Gly) DNM1L patient fibroblasts incubated with TMRM. Nucleoids are indicated by yellow arrows. (B) Representative merged images of paediatric control (C1 and C2) and P1 (p.Gly401Ser) and P2 (p.Gly363Asp) fibroblasts stained with TMRM (mitochondria, red) and PicoGreen (mtDNA, green). Arrows highlight enlarged mitochondria with accumulations of mitochondrial DNA nucleoids. (C) Analysis of mtDNA nucleoids stained with PicoGreen fluorescent dye in age-matched C1 (paediatric), C2 (adult) controls, and DNM1L patient (P1–P3) fibroblasts. The proportion of enlarged nucleoids >1.5 μm2 was calculated in the total nucleoid pool. The minimum number of cells analysed from a random field of view was n = 21 and the smallest number of nucleoids analysed was 3,400 (n = 3). Statistical differences between groups were determined by one-way ANOVA test (*P ≤ 0.05; P > 0.05 n.s. [not significant]). (D) Representative images of adult control (C2) and DNM1L P4 (p.Arg710Gly) fibroblasts stained with PicoGreen dye. Yellow arrows show enlarged mitochondrial DNA nucleoids in P4 cells, which also present with increased accumulation of lipofuscin granules.

  • Figure S2.
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    Figure S2. Steady-state levels of fission machinery proteins in DNM1L patient fibroblasts.

    Immunoblotting analysis of paediatric (C1 and C2) and adult controls (C3 and C4) and DNM1L P1 (p.Gly401Ser), P2 (p.Glys363Asp), P3 (p.Leu230dup), and P4 (p.Arg710Gly) patient fibroblasts showing the steady-state levels of DRP1 and MID51 proteins. The nuclear-encoded SDHA (Complex II) and β-actin were used as loading controls. Data information: Representative blots of three independent SDS–PAGE experiments are shown. Densitometric quantification of Western blots showing the mean % of relative band intensities between DNM1L patients (P1–P4) and control samples (SDHA–loading control, CP–paediatric control, CA–adult control). The error bars represent SD (n = 3).

    Source data are available for this figure.

    Source Data for Figure S2[LSA-2021-01284_SdataFS2_FS5_FS7.pdf]

  • Figure S3.
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    Figure S3. Diagnostic quadruple immunofluorescent assay showing complex I–immunodeficient muscle fibres in DNM1L P2.

    Mitochondrial respiratory chain expression profile plot showing COXI, NDUFB8, and porin protein levels in single muscle fibres from P2 (p.Gly363Asp). Each dot represents an individual muscle fibre, colour-coded according to its mitochondrial mass (very low: blue; low: light blue; normal: beige; high: orange; very high: red). Thin black dashed lines indicate the SD limits for the classification of fibres, lines next to the x and y axes indicate the levels of NDUFB8 and COXI, respectively (beige: normal; light beige: intermediate (+); light blue: intermediate (++); blue: deficient). Bold dashed lines indicate the mean expression level of normal fibres.

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    Figure S4. Diagnostic mitochondrial respiratory chain complex activities in DNM1L patients.

    (A, B) Diagnostic mitochondrial respiratory complexes activities (complexes I–IV) measured in control and DNM1L patient P2 (p.Gly363Asp), P3* (age 13 yr), P3** (age 16 yr) (p.Leu230dup), and P4 (p.Arg710Gly) muscle (A), and in control and P2 fibroblasts (B). Data information: mitochondrial respiratory chain enzyme activities were normalized to the activity of the mitochondrial matrix enzyme, citrate synthase. Mean enzyme activities of control muscle (n = 25) or fibroblasts (n = 8) are set to 100%, and error bars represent SD.

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    Figure S5. DNM1L patient fibroblasts demonstrate OXPHOS deficiencies.

    Immunoblotting analysis of whole cell lysates from paediatric (C1 and C2) and adult controls (C3 and C4) and DNM1L P1 (p.Gly401Ser), P2 (p.Glys363Asp), P3 (p.Leu230dup), and P4 (p.Arg710Gly) fibroblasts showing a decrease in the levels of multiple OXPHOS subunits. The nuclear-encoded SDHA (Complex II) and GAPDH were used as loading controls. Data information: representative blots of three independent SDS–PAGE experiments are shown and densitometric quantification of Western blots are showing the mean % of relative band intensities between DNM1L patients (P1–P4) and control samples (GAPDH: loading control, CP: paediatric control, CA: adult control). The error bars represent SD (n = 3).

    Source data are available for this figure.

    Source Data for Figure S5[LSA-2021-01284_SdataFS2_FS5_FS7.pdf]

  • Figure S6.
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    Figure S6. Recombinant DRP1 WT and variants are well-folded.

    Circular dichroism analysis of the far UV spectra of 0.05 mg/ml WT Drp1 (purple trace), Drp1 G363D (green trace), Drp1 G401S (orange trace), and Drp1 R710G (magenta trace) collected at 25°C, converted to mean residue ellipticity, and scaled at 260 nm to achieve a baseline of 0.

  • Figure 5.
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    Figure 5. Clinically identified DNM1L variants alter GTPase activity.

    (A) Substrate kinetics of recombinant wild-type DRP1 (WT) (1 μM) and genetic variants. DRP1 GTPase activity was measured using an enzyme coupled assay monitoring NADH depletion, which is subsequently converted to activity (min−1). Data from three independent experiments were globally fit to a Michaelis–Menten model. Residuals of the fit are shown. (B, C, D) Distribution of K0.5, (C) kcat, and (D) kcat/K0.5 parameters from GTPase activity measurements. Reported values were obtained by globally fitting DRP1 GTPase activity measurements (n = 3) to a Michaelis–Menten model. The resulting values are reported in Table 2. K0.5 differences between WT and each variant significant to ***P < 0.05. kcat differences between WT and G363D, G363D and R710G, G363D and G401S, and R710G and G401S significant to ***P < 0.05. kcat/K0.5 differences between WT and both G363D and G401S, as well as between R710G and both G363D and G401S significant to ***P < 0.05.

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    Figure 6. Patient DRP1 variants alter DRP1 assembly-state and melting temperature.

    (A) SEC-MALS analysis of WT DRP1 (purple trace), DRP1 G363D (green trace), DRP1 G401S (orange trace), and DRP1 R710G (magenta trace) to assess for differences in multimeric distributions. Overlay of normalized differential refractive index of all protein samples (200 μg, 2.0 mg/ml) with peaks corresponding to monomeric, dimeric, and tetrameric oligomer species labelled as determined by predicted molecular masses of each multimeric species. Data normalized and scaled to allow for easier comparison because of slight differences in amount of protein loaded onto the column. (B) Melt curves of WT DRP1 and patient variants. Thermafluor analysis of protein unfolding of WT DRP1 (5.0 μM) and three patient variants (G363D, G401S, and R710G) either alone (black, dotted line), in the presence of 500 μM GDP (dark grey, dashed line), or GMP-PNP (light grey, solid line). Data plotted as the first derivative of the fluorescence signal with respect to time. (C, D) Tm values determined from the temperature corresponding to the maximum fluorescence value in the absence of and presence of 500 μM GDP or GMP-PNP. (C) Thermafluor analysis of the first protein unfolding event reported as the melting temperature (Tm) of WT DRP1 (5.0 μM) and three patient variants either alone, or in the presence of 500 μM GDP or GMP-PNP. (D) Thermafluor analysis of the second protein unfolding event reported as the melting temperature (Tm). Only WT and R710G shown as they are the only two constructs with a prominent second unfolding event. Data are representative of two independent experiments, each with three technical replicates. ***P < 0.00001. Differences between Tm values of all constructs alone in comparison with constructs with 500 μM GDP or 500 μM GMP-PNP significant to P < 0.003. Tm values of all constructs with 500 μM GDP in comparison to 500 μM GMP-PNP are significant to P < 0.03 except for R710G with 500 μM GDP in comparison to R710G with 500 μM GMP-PNP where P < 0.0003.

  • Figure S7.
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    Figure S7. Analysis of DRP1 oligomers in DNM1L patient fibroblasts.

    (Left) Immunoblot analysis of total cell lysates isolated from age-matched control (C1 and C2: peadiatric; C3 and C4: adult) and DNM1L patient (P1 [p.Gly401Ser], P2 [p.Glys363Asp], P3 [p.Leu230dup], and P4 [p.Arg710Gly]) fibroblasts treated with DMSO only (−BMH) or the cross-linking reagent (+BMH) showing DRP1 higher order oligomers, DRP1 dimers (**), and DRP1 monomers (*). (Right) The immunoblot analysis was repeated in control (C4) and DNM1L P4 (p.Arg710Gly) fibroblasts showing DRP1 complexes and Ponceau staining as indicated above. In (Left) and (Right) equal amounts of total cell lysates (50 μg) were separated on a gradient (3–8%) Tris acetate gel. Data information: analysis for P1–P3 was performed once (Left) and a representative Western blot for control and P4 (p.Arg710Gly) is shown in (Right) with densitometric quantification of relative band intensities (%) for monomeric DRP1 between control and P4. SDHA (n = 3) and HSP60 (n = 2) were used as loading controls and the error bars represent SD.

    Source data are available for this figure.

    Source Data for Figure S7[LSA-2021-01284_SdataFS2_FS5_FS7.pdf]

Tables

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    Table 1.

    Clinical, genetic, and pathological findings in individuals with DNM1L variants.

    IDDNM1L variantsClinical featuresMuscle biopsy and laboratory findings
    cDNA (NM_012062.5) Protein (NP_036192.2)Age-at-onsetClinical courseConsanguinity; country of originClinical features and relevant biochemical findingsDiagnostic muscle biopsy findingsDiagnostic biochemical findings
    Patient 1a femalec.1201G>A, p.(Gly401Ser) de novo heterozygous8 moDied, 10 moNo; UKSeizures, developmental delay, microcephaly, sudden deterioration in feeding and breathing, brain MRI normal, ECG and echocardiogram abnormal, end-stage dilated cardiomyopathy with previous signs of hypertrophic cardiomyopathy, raised 3-MGA type IV, and plasma lactate 7.0 mmol/l (normal range 0.7–2.1 mmol/l)Hyperfused and enlarged mitochondria, abnormal mitochondrial morphology with low cristae density on TEMLow complex IV ratio of 0.010 (0.014–0.034) in muscle
    Patient 2a,b femalec.1088G>A, p.(Gly363Asp) de novo heterozygousBirthDied, 13 moNo; UKSeizures, growth failure, developmental delay, failure to thrive, microcephaly, micrognathia, infantile spasms, hypotonia, brain MRI abnormal, electroencephalogram abnormal—hypsarrthythmia, echocardiogram showed mild left ventricular hypertrophy, CSF lactate 4.6–7.0 mmol/l (normal range 0.7–2.1 mmol/l)n.d.Complex I–immunodeficient muscle fibres (IHC) and low complex I and II respiratory chain complex activities in muscle; low complex I activities in fibroblasts
    Patient 3c femalec.687_689dupATT, p.(Leu230dup) de novo heterozygous6 yrDied, 20 yrNo; UK, CaucasianLearning difficulties, epilepsy, ataxia, dystonia, myoclonus and peripheral neuropathy, blood and CSF lactate normal, glucose concentrations normal, urine organic acid and plasma amino acid analysis normalMuscle electron microscopy and skin histology were not conclusive, but mainly normalComplexes I–IV normal in the 1st muscle biopsy. 2nd muscle biopsy 3 yr later showed decreased complex I and IV activity
    Patient 4a malec.2128A>G, p.(Arg710Gly) de novo heterozygous3 yrDied, 17 yrNo; UKChronic inflammatory demyelinating polyneuropathy, extra-pyramidal movement disorder, epilepsy, optic atrophy, fatigue, and episodic regression of developmental skills precipitated by infectionn.d.Mitochondrial respiratory chain activities (complexes I–IV) in muscle normal
    Patient 5d malec.1201G>A, p.(Gly401Ser) de novo heterozygous33 moAlive, 3 yrNo; UK CaucasianEarly onset epileptic encephalopathy, global developmental delay, hypotonia, nystagmus, dyskinesia, lactate and pyruvate concentrations in the CSF normal, plasma amino acids, urinary amino acids, organic acids and urine sialic acid normaln.d.n.d.
    • ↵a Investigated by trio whole exome sequencing.

    • ↵b Investigated by mitochondrial gene panel.

    • ↵c Investigated by 100,000 genome project.

    • ↵d Investigated by WES.

    • View popup
    Table 2.

    Reported kinetic values among DRP1 variants. Kinetic parameters (K0.5, Vmax, kcat, and kcat/K0.5) were computed for DRP1 WT and each clinical variant.

    K0.5 ± SD (μM)Vmax ± SD (μM/min)kcat (min−1)kcat (min−1)/K0.5 (μM)
    WT201 ± 510.24 ± 0.010.24 × 10−61.2 × 10−9
    G363D79 ± 110.58 ± 0.020.58 × 10−67.3 × 10−9
    G401S55 ± 90.36 ± 0.0110.36 × 10−66.5 × 10−9
    R710G96 ± 180.10 ± 0.0040.10 × 10−61.0 × 10−9

Supplementary Materials

  • Figures
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  • Table S1. Clinical, molecular genetics, biochemical and cellular findings in individuals with DNM1L variants. [LSA-2021-01284_TableS1.xlsx]

  • Supplemental Data 1.

    DNM1L patients clinical case reports.[LSA-2021-01284_Supplemental_Data_1.docx]

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Novel DNM1L variants impair mitochondrial dynamics through divergent mechanisms
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Pathomechanisms of DNM1L-related disease
Kelsey A Nolden, John M Egner, Jack J Collier, Oliver M Russell, Charlotte L Alston, Megan C Harwig, Michael E Widlansky, Souphatta Sasorith, Inês A Barbosa, Andrew GL Douglas, Julia Baptista, Mark Walker, Deirdre E Donnelly, Andrew A Morris, Hui Jeen Tan, Manju A Kurian, Kathleen Gorman, Santosh Mordekar, Charu Deshpande, Rajib Samanta, Robert McFarland, R Blake Hill, Robert W Taylor, Monika Oláhová
Life Science Alliance Aug 2022, 5 (12) e202101284; DOI: 10.26508/lsa.202101284

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Pathomechanisms of DNM1L-related disease
Kelsey A Nolden, John M Egner, Jack J Collier, Oliver M Russell, Charlotte L Alston, Megan C Harwig, Michael E Widlansky, Souphatta Sasorith, Inês A Barbosa, Andrew GL Douglas, Julia Baptista, Mark Walker, Deirdre E Donnelly, Andrew A Morris, Hui Jeen Tan, Manju A Kurian, Kathleen Gorman, Santosh Mordekar, Charu Deshpande, Rajib Samanta, Robert McFarland, R Blake Hill, Robert W Taylor, Monika Oláhová
Life Science Alliance Aug 2022, 5 (12) e202101284; DOI: 10.26508/lsa.202101284
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Volume 5, No. 12
December 2022
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