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. 2020 Dec 5;143(11):3242-3261.
doi: 10.1093/brain/awaa304.

KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation

Laura Cif  1   2 Diane Demailly  1   2 Jean-Pierre Lin  3   4 Katy E Barwick  5 Mario Sa  3 Lucia Abela  5 Sony Malhotra  6 Wui K Chong  7 Dora Steel  5   8 Alba Sanchis-Juan  9   10 Adeline Ngoh  5   8 Natalie Trump  5 Esther Meyer  5 Xavier Vasques  11 Julia Rankin  12 Meredith W Allain  13 Carolyn D Applegate  14 Sanaz Attaripour Isfahani  15 Julien Baleine  16 Bettina Balint  17   18 Jennifer A Bassetti  19 Emma L Baple  12   20 Kailash P Bhatia  17 Catherine Blanchet  21 Lydie Burglen  22 Gilles Cambonie  16 Emilie Chan Seng  1   2 Sandra Chantot Bastaraud  23 Fabienne Cyprien  1   2 Christine Coubes  24 Vincent d'Hardemare  23 Deciphering Developmental Disorders StudyAsif Doja  25 Nathalie Dorison  23 Diane Doummar  26 Marisela E Dy-Hollins  27   28 Ellyn Farrelly  13   29 David R Fitzpatrick  30 Conor Fearon  31 Elizabeth L Fieg  32 Brent L Fogel  33   34 Eva B Forman  35 Rachel G Fox  36 Genomics England Research ConsortiumWilliam A Gahl  37 Serena Galosi  38 Victoria Gonzalez  1   2 Tracey D Graves  39 Allison Gregory  36 Mark Hallett  15 Harutomo Hasegawa  3   4 Susan J Hayflick  36   40 Ada Hamosh  14 Marie Hully  41 Sandra Jansen  42 Suh Young Jeong  36 Joel B Krier  32 Sidney Krystal  43 Kishore R Kumar  44   45   46 Chloé Laurencin  47 Hane Lee  34   48 Gaetan Lesca  49 Laurence Lion François  50 Timothy Lynch  31   51 Neil Mahant  52 Julian A Martinez-Agosto  34   53 Christophe Milesi  16 Kelly A Mills  54 Michel Mondain  21 Hugo Morales-Briceno  52   55 NIHR BioResourceJohn R Ostergaard  56 Swasti Pal  57 Juan C Pallais  32 Frédérique Pavillard  58 Pierre-Francois Perrigault  58 Andrea K Petersen  59 Gustavo Polo  60 Gaetan Poulen  1   2 Tuula Rinne  42 Thomas Roujeau  1 Caleb Rogers  36 Agathe Roubertie  61   62 Michelle Sahagian  63   64 Elise Schaefer  65 Laila Selim  66 Richard Selway  67 Nutan Sharma  27   28   68 Rebecca Signer  34 Ariane G Soldatos  37 David A Stevenson  13 Fiona Stewart  69 Michel Tchan  55   70 Undiagnosed Diseases NetworkIshwar C Verma  57 Bert B A de Vries  42 Jenny L Wilson  71 Derek A Wong  53 Raghda Zaitoun  72 Dolly Zhen  36 Anna Znaczko  69 Russell C Dale  73   74 Claudio M de Gusmão  28   75 Jennifer Friedman  63   64   76   77 Victor S C Fung  52   55 Mary D King  35   51 Shekeeb S Mohammad  73   74 Luis Rohena  78   79 Jeff L Waugh  80 Camilo Toro  37 F Lucy Raymond  9   81 Maya Topf  6 Philippe Coubes  1   2 Kathleen M Gorman  5   8 Manju A Kurian  5   8
Affiliations

KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation

Laura Cif et al. Brain. .

Abstract

Heterozygous mutations in KMT2B are associated with an early-onset, progressive and often complex dystonia (DYT28). Key characteristics of typical disease include focal motor features at disease presentation, evolving through a caudocranial pattern into generalized dystonia, with prominent oromandibular, laryngeal and cervical involvement. Although KMT2B-related disease is emerging as one of the most common causes of early-onset genetic dystonia, much remains to be understood about the full spectrum of the disease. We describe a cohort of 53 patients with KMT2B mutations, with detailed delineation of their clinical phenotype and molecular genetic features. We report new disease presentations, including atypical patterns of dystonia evolution and a subgroup of patients with a non-dystonic neurodevelopmental phenotype. In addition to the previously reported systemic features, our study has identified co-morbidities, including the risk of status dystonicus, intrauterine growth retardation, and endocrinopathies. Analysis of this study cohort (n = 53) in tandem with published cases (n = 80) revealed that patients with chromosomal deletions and protein truncating variants had a significantly higher burden of systemic disease (with earlier onset of dystonia) than those with missense variants. Eighteen individuals had detailed longitudinal data available after insertion of deep brain stimulation for medically refractory dystonia. Median age at deep brain stimulation was 11.5 years (range: 4.5-37.0 years). Follow-up after deep brain stimulation ranged from 0.25 to 22 years. Significant improvement of motor function and disability (as assessed by the Burke Fahn Marsden's Dystonia Rating Scales, BFMDRS-M and BFMDRS-D) was evident at 6 months, 1 year and last follow-up (motor, P = 0.001, P = 0.004, and P = 0.012; disability, P = 0.009, P = 0.002 and P = 0.012). At 1 year post-deep brain stimulation, >50% of subjects showed BFMDRS-M and BFMDRS-D improvements of >30%. In the long-term deep brain stimulation cohort (deep brain stimulation inserted for >5 years, n = 8), improvement of >30% was maintained in 5/8 and 3/8 subjects for the BFMDRS-M and BFMDRS-D, respectively. The greatest BFMDRS-M improvements were observed for trunk (53.2%) and cervical (50.5%) dystonia, with less clinical impact on laryngeal dystonia. Improvements in gait dystonia decreased from 20.9% at 1 year to 16.2% at last assessment; no patient maintained a fully independent gait. Reduction of BFMDRS-D was maintained for swallowing (52.9%). Five patients developed mild parkinsonism following deep brain stimulation. KMT2B-related disease comprises an expanding continuum from infancy to adulthood, with early evidence of genotype-phenotype correlations. Except for laryngeal dysphonia, deep brain stimulation provides a significant improvement in quality of life and function with sustained clinical benefit depending on symptoms distribution.

Keywords: KMT2B; deep brain stimulation (DBS); dystonia; genetics; neurodevelopment.

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Figures

Figure 1
Figure 1
KMT2B missense constraint analysis. (A) Missense allele counts for all KMT2B missense variants were obtained from gnomAD v2.1 (Karczewski et al., 2020). All missense amino acid substitutions are represented in grey (top section). Exons by constraint ranges were obtained from Decipher v.9.29 (Firth et al., 2009). Schematic representation of the coding exons of KMT2B shows the gene regions by predicted intolerance to missense changes, ranging from grey (relatively tolerant) through yellow, orange and red with increasing intolerance (track for exons are coloured by constraint values, obtained from Decipher). Highly constrained regions encompass exons encoding key protein domains, including the CxxC, PHD, PHD-like, FYR and SET-binding domain. All variants reported in the extended cohort are represented. While pathogenic protein truncating variants (red circles) are distributed throughout the protein coding sequence, disease-associated missense variants (blue triangles) appear to localize in regions of missense constraint, which represent key protein domains. Coordinates for the protein domains were obtained from Pfam 32.0 (El-Gebali et al., 2019). (B) Schematic representation of KMT2B (NM_014727.2) indicating the positions of 22 frameshift insertions and deletions (red squares), 10 stop-gain mutations (red circles), four splice-site variants (red three quarter circles) and nine missense changes (blue inverted triangles) of the study cohort. Mutations associated with dystonic phenotypes are depicted in black and those associated with non-dystonia phenotypes in green. The functional domain architecture of KMT2B is located above the gene diagram.
Figure 2
Figure 2
Predicted effect of KMT2B variants on structure-function properties. (AF) Structural modelling for PHD-like domain of KMT2B (residues 1574-1688). (A) The wild-type residue Arg1597 (yellow) lies on the exposed flexible loop, which is involved in the salt bridge with Asp1591. (B) Substitution of the arginine with a tryptophan is predicted to remove this salt bridge interaction by placing a bulkier hydrophobic side chain in this position. (C) The wild-type residue Ala1616 (yellow) is close to the residue Arg1635, which is involved in salt bridge with Glu1617. (D) Ala1616Val may result in a steric clash with Arg1635 and disrupt the salt bridge between Arg1635 and Glu1617. (E) This PHD-like domain is known to have three zinc fingers (zinc ions shown in orange). Cys1644 is involved in formation of one of the zinc-fingers (top). Substitution with a phenylalanine will result in loss of coordination of zinc ion in a zinc finger and a detrimental effect on the protein function (bottom). (F) Cys1654 is present adjacent to Cys1653 which is involved in coordinating zinc ion in another zinc finger motif (bottom left). Substitution of a cysteine with an arginine might cause a steric clash and repulsion with Lys1679 present in its vicinity, hence impacting on protein structure (bottom right). (G) Structural modelling for SET domain of KMT2B (residues 2539–2715). The side chain of Arg2649 forms an H-bond with the backbone of Ala2641 (top). Substitution at amino acid 2649 of the arginine with a cysteine will disrupt this bond (bottom) and impact the stability of the domain.
Figure 3
Figure 3
Evolution of BFMDRS for the DBS cohort (n = 18) and evolution of dystonia and motor function with DBS for patients followed >5 years with DBS (n = 8). (A) Mean score of BFMDRS-M (range: 0–120). (B) Mean score of BFMDRS-D (range: 0–30). (C) Spaghetti plots displaying individual dystonia evolution with DBS, as assessed by the BFMDRS-M. (D) Spaghetti plots displaying individual dystonia evolution with DBS, as assessed by the BFMDRS-D. (E) Evolution of motor function as assessed by the motor section of the BFMDRS followed for >5 years with DBS. (F) Evolution of motor function as assessed by the disability section of the BFMDRS followed for >5 years with DBS.
Figure 4
Figure 4
Relationship between genotype, dystonia severity and DBS (n = 18). (A) Dystonia BFMDRS-M scores evolution with DBS according to the class of mutation. Eleven protein-truncating variants (blue), six microdeletions (orange) and a single missense variant (grey). (B) Relationship between genotype and dystonia severity at baseline (BFMDRS-M). (C) XgBoost Tree Predictor Importance model was used to predict the type of mutation class according to the evolution of the motor scores. The BFMDRS-M scores preoperative (F-score, 38), 1-year post operative (F-score, 21) and 6 months (F-score, 13) were able to predict the type of mutation with 94.4% accuracy.

Update of

  • KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation.
    Cif L, Demailly D, Lin JP, Barwick KE, Sa M, Abela L, Malhotra S, Chong WK, Steel D, Sanchis-Juan A, Ngoh A, Trump N, Meyer E, Vasques X, Rankin J, Allain MW, Applegate CD, Isfahani SA, Baleine J, Balint B, Bassetti JA, Baple EL, Bhatia KP, Blanchet C, Burglen L, Cambonie G, Seng EC, Bastaraud SC, Cyprien F, Coubes C, d'Hardemare V; Deciphering Developmental Disorders Study; Doja A, Dorison N, Doummar D, Dy-Hollins ME, Farrelly E, Fitzpatrick DR, Fearon C, Fieg EL, Fogel BL, Forman EB, Fox RG; Genomics England Research Consortium; Gahl WA, Galosi S, Gonzalez V, Graves TD, Gregory A, Hallett M, Hasegawa H, Hayflick SJ, Hamosh A, Hully M, Jansen S, Jeong SY, Krier JB, Krystal S, Kumar KR, Laurencin C, Lee H, Lesca G, François LL, Lynch T, Mahant N, Martinez-Agosto JA, Milesi C, Mills KA, Mondain M, Morales-Briceno H; NIHR BioResource; Ostergaard JR, Pal S, Pallais JC, Pavillard F, Perrigault PF, Petersen AK, Polo G, Poulen G, Rinne T, Roujeau T, Rogers C, Roubertie A, Sahagian M, Schaefer E, Selim L, Selway R, Sharma N, Signer R, Soldatos AG, Stevenson DA, Stewart F, Tchan M; Undiagnosed Diseases Network; Verma IC, de Vries BBA, Wilson JL, Wong DA, Zaitoun R, Zhen D, Znaczko A, Dale… See abstract for full author list ➔ Cif L, et al. ArXiv [Preprint]. 2025 Feb 10:arXiv:2502.06320v1. ArXiv. 2025. Update in: Brain. 2020 Dec 5;143(11):3242-3261. doi: 10.1093/brain/awaa304. PMID: 39990802 Free PMC article. Updated. Preprint.

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