Heterogeneity of cognitive impairments in myotonic dystrophy type 1 explained by three distinct cognitive profiles.

Clusters Cognition Myopathy Myotonic dystrophy Steinert’s disease

Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
06 May 2024
Historique:
received: 29 03 2024
accepted: 23 04 2024
revised: 22 04 2024
medline: 6 5 2024
pubmed: 6 5 2024
entrez: 6 5 2024
Statut: aheadofprint

Résumé

Severity and nature of cognitive impairments in Myotonic dystrophy type 1 (DM1) are heterogeneous among studies. We hypothesized that this heterogeneity is explained by different cognitive profiles in DM1, with different clinical, biological and behavioral features. Adult patients with genetically proven DM1 underwent a clinical, neuropsychological and behavioral assessment. We conducted a k-means clustering analysis on 9 cognitive tests representative of different domains (verbal/non-verbal episodic memory, visuo-constructive abilities, visual gnosis, executive functions, information processing speed). We included 124 DM1 patients. Mean age was 45.1 ± 13.5 years [19.8-73.2], mean age of onset was 30.4 ± 15.7 years [5-72], and mean CTG triplets' expansion size was 489.7 ± 351.8 [50-1600]. We found 3 cognitive clusters, including, respectively, 84, 29 and 11 patients. The first cluster included patients with more preserved cognitive functions; the second included patients with worse cognitive performances which predominate on executive functions; and the third even more pronounced and diffuse cognitive deficits. Younger patients, with a more recent DM1 clinical onset, higher educational level were more frequently classified in the cluster with more preserved cognitive functions. There were no significant differences between clusters regarding CTG triplets' expansion, neither age at DM1 onset, nor most of behavioral measures. We found different cognitive profiles in our DM1 population, which seem influenced by age and DM1 duration. Our findings may explain the heterogeneity of studies about cognition in DM1, and suggest a potential neurodegenerative mechanism in DM1 adults.

Sections du résumé

BACKGROUND BACKGROUND
Severity and nature of cognitive impairments in Myotonic dystrophy type 1 (DM1) are heterogeneous among studies. We hypothesized that this heterogeneity is explained by different cognitive profiles in DM1, with different clinical, biological and behavioral features.
METHODS METHODS
Adult patients with genetically proven DM1 underwent a clinical, neuropsychological and behavioral assessment. We conducted a k-means clustering analysis on 9 cognitive tests representative of different domains (verbal/non-verbal episodic memory, visuo-constructive abilities, visual gnosis, executive functions, information processing speed).
RESULTS RESULTS
We included 124 DM1 patients. Mean age was 45.1 ± 13.5 years [19.8-73.2], mean age of onset was 30.4 ± 15.7 years [5-72], and mean CTG triplets' expansion size was 489.7 ± 351.8 [50-1600]. We found 3 cognitive clusters, including, respectively, 84, 29 and 11 patients. The first cluster included patients with more preserved cognitive functions; the second included patients with worse cognitive performances which predominate on executive functions; and the third even more pronounced and diffuse cognitive deficits. Younger patients, with a more recent DM1 clinical onset, higher educational level were more frequently classified in the cluster with more preserved cognitive functions. There were no significant differences between clusters regarding CTG triplets' expansion, neither age at DM1 onset, nor most of behavioral measures.
CONCLUSIONS CONCLUSIONS
We found different cognitive profiles in our DM1 population, which seem influenced by age and DM1 duration. Our findings may explain the heterogeneity of studies about cognition in DM1, and suggest a potential neurodegenerative mechanism in DM1 adults.

Identifiants

pubmed: 38709306
doi: 10.1007/s00415-024-12404-2
pii: 10.1007/s00415-024-12404-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.

Références

Theadom A, Rodrigues M, Roxburgh R, Balalla S, Higgins C, Bhattacharjee R, Jones K, Krishnamurthi R, Feigin V (2014) Prevalence of muscular dystrophies: a systematic literature review. Neuroepidemiology 43:259–268. https://doi.org/10.1159/000369343
doi: 10.1159/000369343 pubmed: 25532075
Harper P (2009) Myotonic dystrophy. OUP Oxford, Oxford
doi: 10.1093/oso/9780199571970.001.0001
Okkersen K, Buskes M, Groenewoud J, Kessels RPC, Knoop H, van Engelen B, Raaphorst J (2017) The cognitive profile of myotonic dystrophy type 1: a systematic review and meta-analysis. Cortex 95:143–155. https://doi.org/10.1016/j.cortex.2017.08.008
doi: 10.1016/j.cortex.2017.08.008 pubmed: 28892766
Van Spaendonck KP, Ter Bruggen JP, Weyn Banningh EW, Maassen BA, Van de Biezenbos JB, Gabreëls FJ (1995) Cognitive function in early adult and adult onset myotonic dystrophy. Acta Neurol Scand 91:456–461. https://doi.org/10.1111/j.1600-0404.1995.tb00446.x
doi: 10.1111/j.1600-0404.1995.tb00446.x pubmed: 7572040
Perini GI, Menegazzo E, Ermani M, Zara M, Gemma A, Ferruzza E, Gennarelli M, Angelini C (1999) Cognitive impairment and (CTG)n expansion in myotonic dystrophy patients. Biol Psychiatry 46:425–431. https://doi.org/10.1016/s0006-3223(99)00016-5
doi: 10.1016/s0006-3223(99)00016-5 pubmed: 10435210
Gallais B, Gagnon C, Mathieu J, Richer L (2017) Cognitive decline over time in adults with myotonic dystrophy type 1: a 9-year longitudinal study. Neuromuscul Disord 27:61–72. https://doi.org/10.1016/j.nmd.2016.10.003
doi: 10.1016/j.nmd.2016.10.003 pubmed: 27919548
Peric S, Rakocevic Stojanovic V, Mandic Stojmenovic G, Ilic V, Kovacevic M, Parojcic A, Pesovic J, Mijajlovic M, Savic-Pavicevic D, Meola G (2017) Clusters of cognitive impairment among different phenotypes of myotonic dystrophy type 1 and type 2. Neurol Sci 38:415–423. https://doi.org/10.1007/s10072-016-2778-4
doi: 10.1007/s10072-016-2778-4 pubmed: 27896491
Fujino H, Suwazono S, Ueda Y, Kobayashi M, Nakayama T, Imura O, Matsumura T, Takahashi MP (2023) Longitudinal changes in neuropsychological functioning in Japanese patients with myotonic dystrophy type 1: a five year follow-up study. J Neuromuscul Dis 10:1083–1092. https://doi.org/10.3233/JND-230083
doi: 10.3233/JND-230083 pubmed: 37599536 pmcid: 10657671
Modoni A, Silvestri G, Vita MG, Quaranta D, Tonali PA, Marra C (2008) Cognitive impairment in myotonic dystrophy type 1 (DM1): a longitudinal follow-up study. J Neurol 255:1737–1742. https://doi.org/10.1007/s00415-008-0017-5
doi: 10.1007/s00415-008-0017-5 pubmed: 18821050
Rubinsztein JS, Rubinsztein DC, McKenna PJ, Goodburn S, Holland AJ (1997) Mild myotonic dystrophy is associated with memory impairment in the context of normal general intelligence. J Med Genet 34:229–233. https://doi.org/10.1136/jmg.34.3.229
doi: 10.1136/jmg.34.3.229 pubmed: 9132495 pmcid: 1050898
Mathieu J, Boivin H, Meunier D, Gaudreault M, Bégin P (2001) Assessment of a disease-specific muscular impairment rating scale in myotonic dystrophy. Neurology 56:336–340. https://doi.org/10.1212/wnl.56.3.336
doi: 10.1212/wnl.56.3.336 pubmed: 11171898
Wechsler D (2000) WAIS-III: echelle d’intelligence de Wechsler pour adultes, vol 3rd. Editions du Centre de Psychologie Appliquée, Paris
Rieu D, Bachoud-Lévi A-C, Laurent A, Jurion E, Dalla Barba G (2006) French adaptation of the Hopkins verbal learning test. Rev Neurol 162:721–728. https://doi.org/10.1016/s0035-3787(06)75069-x
doi: 10.1016/s0035-3787(06)75069-x pubmed: 16840980
Dujardin K, Sockeel P, Cabaret M, De Sèze J, Vermersch P (2004) BCcogSEP: a French test battery evaluating cognitive functions in multiple sclerosis. Rev Neurol 160:51–62. https://doi.org/10.1016/s0035-3787(04)70847-4
doi: 10.1016/s0035-3787(04)70847-4 pubmed: 14978394
Merck C, Charnallet A, Auriacombe S, Belliard S, Hahn-Barma V, Kremin H, Lemesle B, Mahieux F, Moreaud O, Palisson DP, Roussel M, Sellal F, Siegwart H (2011) The GRECO neuropsychological semantic battery (BECS GRECO): validation and normative data. Rev Neuropsychol 3:235–255. https://doi.org/10.1684/nrp.2011.0194
doi: 10.1684/nrp.2011.0194
Beery KE, Beery NA (2006) The beery-Buktenica developmental test of visual-motor integration, 5th, edition (BEERYTM VMI). Pearson, London
Warrington EK, James M (1991) A new test of object decision: 2D silhouettes featuring a minimal view. Cortex 27:370–383
doi: 10.1016/S0010-9452(13)80033-0 pubmed: 1743033
GREFEX (2001) L’évaluation des fonctions exécutives en pratique clinique. Rev Neuropsychol 11(3):383–433
Reitan RM (1958) Validity of the trail making test as an indicator of organic brain damage. Percept Mot Skills 8:271–286
doi: 10.2466/pms.1958.8.3.271
Delis DC, Kaplan E, Kramer JH (2001) Delis-Kaplan Executive Function System (D-KEFS)
Ruet A, Deloire MSA, Charré-Morin J, Hamel D, Brochet B (2013) A new computerised cognitive test for the detection of information processing speed impairment in multiple sclerosis. Mult Scler 19:1665–1672. https://doi.org/10.1177/1352458513480251
doi: 10.1177/1352458513480251 pubmed: 23459569
Dziobek I, Fleck S, Kalbe E, Rogers K, Hassenstab J, Brand M, Kessler J, Woike JK, Wolf OT, Convit A (2006) Introducing MASC: a movie for the assessment of social cognition. J Autism Dev Disord 36:623–636. https://doi.org/10.1007/s10803-006-0107-0
doi: 10.1007/s10803-006-0107-0 pubmed: 16755332
Allison C, Auyeung B, Baron-Cohen S (2012) Toward brief “Red Flags” for autism screening: the short autism spectrum quotient and the short quantitative checklist for autism in toddlers in 1000 cases and 3000 controls [corrected]. J Am Acad Child Adolesc Psychiatry 51:202-212.e7. https://doi.org/10.1016/j.jaac.2011.11.003
doi: 10.1016/j.jaac.2011.11.003 pubmed: 22265366
Dujardin K, Sockeel P, Carette A-S, Delliaux M, Defebvre L (2013) Assessing apathy in everyday clinical practice with the short-form Lille Apathy Rating Scale. Mov Disord 28:2014–2019. https://doi.org/10.1002/mds.25584
doi: 10.1002/mds.25584 pubmed: 23836341
Zanello A, Weber Rouget B, Gex-Fabry M, Maercker A, Guimon J (2006) Validation of the QFS measuring the frequency and satisfaction in social behaviours in psychiatric adult population. Encephale 32:45–59. https://doi.org/10.1016/s0013-7006(06)76136-x
doi: 10.1016/s0013-7006(06)76136-x pubmed: 16633290
Zigmond AS, Snaith RP (1983) The hospital anxiety and depression scale. Acta Psychiatr Scand 67:361–370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
doi: 10.1111/j.1600-0447.1983.tb09716.x pubmed: 6880820
Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD (1989) The fatigue severity scale: application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 46:1121–1123. https://doi.org/10.1001/archneur.1989.00520460115022
doi: 10.1001/archneur.1989.00520460115022 pubmed: 2803071
Baumann C, Erpelding M-L, Régat S, Collin J-F, Briançon S (2010) The WHOQOL-BREF questionnaire: French adult population norms for the physical health, psychological health and social relationship dimensions. Rev Epidemiol Sante Publique 58:33–39. https://doi.org/10.1016/j.respe.2009.10.009
doi: 10.1016/j.respe.2009.10.009 pubmed: 20096515
De Antonio M, Dogan C, Hamroun D, Mati M, Zerrouki S, Eymard B, Katsahian S, Bassez G, Network FMDC (2016) Unravelling the myotonic dystrophy type 1 clinical spectrum: a systematic registry-based study with implications for disease classification. Rev Neurol 172:572–580. https://doi.org/10.1016/j.neurol.2016.08.003
doi: 10.1016/j.neurol.2016.08.003 pubmed: 27665240
Weijs R, Okkersen K, van Engelen B, Küsters B, Lammens M, Aronica E, Raaphorst J, van Cappellen van Walsum A-M, (2021) Human brain pathology in myotonic dystrophy type 1: a systematic review. Neuropathology 41:3–20. https://doi.org/10.1111/neup.12721
doi: 10.1111/neup.12721 pubmed: 33599033 pmcid: 7986875
Caillet-Boudin M-L, Fernandez-Gomez F-J, Tran H, Dhaenens C-M, Buee L, Sergeant N (2014) Brain pathology in myotonic dystrophy: when tauopathy meets spliceopathy and RNAopathy. Front Mol Neurosci. https://doi.org/10.3389/fnmol.2013.00057
doi: 10.3389/fnmol.2013.00057 pubmed: 24409116 pmcid: 3885824
Pinzan E, Weis L, Angelini C (2020) Abnormal gyrification in brain of early onset myotonic dystrophy patients (241). Neurology. https://doi.org/10.1212/WNL.94.15_supplement.2
doi: 10.1212/WNL.94.15_supplement.2
Bangen KJ, Thomas KR, Weigand AJ, Edmonds EC, Clark AL, Solders S, Delano-Wood L, Galasko DR, Bondi MW, Alzheimer’s Disease Neuroimaging Initiative, (2021) Elevated plasma neurofilament light predicts a faster rate of cognitive decline over 5 years in participants with objectively-defined subtle cognitive decline and MCI. Alzheimers Dement 17:1756–1762. https://doi.org/10.1002/alz.12324
doi: 10.1002/alz.12324 pubmed: 33860596
Laberge L, Mathieu J, Auclair J, Gagnon É, Noreau L, Gagnon C (2013) Clinical, psychosocial, and central correlates of quality of life in myotonic dystrophy type 1 patients. Eur Neurol 70:308–315. https://doi.org/10.1159/000353991
doi: 10.1159/000353991 pubmed: 24158106
Veldsman M, Werden E, Egorova N, Khlif MS, Brodtmann A (2020) Microstructural degeneration and cerebrovascular risk burden underlying executive dysfunction after stroke. Sci Rep 10:17911. https://doi.org/10.1038/s41598-020-75074-w
doi: 10.1038/s41598-020-75074-w pubmed: 33087782 pmcid: 7578057
Antonini G, Soscia F, Giubilei F, De Carolis A, Gragnani F, Morino S, Ruberto A, Tatarelli R (2006) Health-related quality of life in myotonic dystrophy type 1 and its relationship with cognitive and emotional functioning. J Rehabil Med 38:181–185. https://doi.org/10.1080/16501970500477967
doi: 10.1080/16501970500477967 pubmed: 16702085
Fujino H, Shingaki H, Suwazono S, Ueda Y, Wada C, Nakayama T, Takahashi MP, Imura O, Matsumura T (2018) Cognitive impairment and quality of life in patients with myotonic dystrophy type 1. Muscle Nerve 57:742–748. https://doi.org/10.1002/mus.26022
doi: 10.1002/mus.26022 pubmed: 29193182
Peric S, Bjelica B, Bozovic I, Pesovic J, Paunic T, Banovic M, Brkusanin M, Aleksic K, Basta I, Pavicevic DS, Stojanovic VR (2019) Fatigue in myotonic dystrophy type 1: a seven-year prospective study. Acta Myol 38:239–244
pubmed: 31970322 pmcid: 6955629
Menzies V, Kelly DL, Yang GS, Starkweather A, Lyon DE (2021) A systematic review of the association between fatigue and cognition in chronic noncommunicable diseases. Chronic Illn 17:129–150. https://doi.org/10.1177/1742395319836472
doi: 10.1177/1742395319836472 pubmed: 30884965
Graff-Radford J, Aakre JA, Knopman DS, Schwarz CG, Flemming KD, Rabinstein AA, Gunter JL, Ward CP, Zuk SM, Spychalla AJ, Preboske GM, Petersen RC, Kantarci K, Huston J, Jack CR, Mielke MM, Vemuri P (2020) Prevalence and heterogeneity of cerebrovascular disease imaging lesions. Mayo Clin Proc 95:1195–1205. https://doi.org/10.1016/j.mayocp.2020.01.028
doi: 10.1016/j.mayocp.2020.01.028 pubmed: 32498775
Gutschmidt K, Wenninger S, Montagnese F, Schoser B (2021) Dyslexia and cognitive impairment in adult patients with myotonic dystrophy type 1: a clinical prospective analysis. J Neurol 268:484–492. https://doi.org/10.1007/s00415-020-10161-6
doi: 10.1007/s00415-020-10161-6 pubmed: 32851461
Hermans MCE, Faber CG, De Baets MH, de Die-Smulders CEM, Merkies ISJ (2010) Rasch-built myotonic dystrophy type 1 activity and participation scale (DM1-Activ). Neuromuscul Disord 20:310–318. https://doi.org/10.1016/j.nmd.2010.03.010
doi: 10.1016/j.nmd.2010.03.010 pubmed: 20363134

Auteurs

Jean-Baptiste Davion (JB)

U1172-LilNCog-Lille Neuroscience & Cognition, Univ. Lille, Inserm, CHU Lille, 59000, Lille, France. jeanbaptiste.davion@chru-lille.fr.
Department of Neurology, CHU Lille, 59000, Lille, France. jeanbaptiste.davion@chru-lille.fr.
Reference Center for Neuromuscular Diseases Nord/Est/Ile-de-France, CHU Lille, 59000, Lille, France. jeanbaptiste.davion@chru-lille.fr.
Department of Pediatric Neurology, CHU Lille, 59000, Lille, France. jeanbaptiste.davion@chru-lille.fr.

Céline Tard (C)

U1172-LilNCog-Lille Neuroscience & Cognition, Univ. Lille, Inserm, CHU Lille, 59000, Lille, France.
Department of Neurology, CHU Lille, 59000, Lille, France.
Reference Center for Neuromuscular Diseases Nord/Est/Ile-de-France, CHU Lille, 59000, Lille, France.

Loren Fragoso (L)

Reference Center for Neuromuscular Diseases Nord/Est/Ile-de-France, CHU Lille, 59000, Lille, France.

Amina Wilu-Wilu (A)

Reference Center for Neuromuscular Diseases Nord/Est/Ile-de-France, CHU Lille, 59000, Lille, France.

Emilie Skrobala (E)

Lille University Hospital Centre, DISTALZ, Development of Innovative Strategies for a Transdisciplinary Approach to Alzheimer's Disease, Lille, France.

Luc Defebvre (L)

U1172-LilNCog-Lille Neuroscience & Cognition, Univ. Lille, Inserm, CHU Lille, 59000, Lille, France.
Department of Neurology, CHU Lille, 59000, Lille, France.

Xavier Delbeuck (X)

U1172-LilNCog-Lille Neuroscience & Cognition, Univ. Lille, Inserm, CHU Lille, 59000, Lille, France.
Department of Neurology, CHU Lille, 59000, Lille, France.
Lille-Paris National Resource and Resilience Center (CN2R), 59000, Lille, France.

Classifications MeSH