Natural History and Genotype-Phenotype Correlations in Mitochondrial Leukoencephalopathies

NCT07868796 — Recruiting, 100 participants, Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta

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Natural History and Genotype-Phenotype Correlations in Mitochondrial Leukoencephalopathies: A Multicentric, International Observational Study

RegistryNCT07868796, acronym Leuko Mito
StatusRecruiting
Study typeObservational
Enrollment100 (Estimated)
SponsorFondazione I.R.C.C.S. Istituto Neurologico Carlo Besta (Other)
ConditionsMitochondrial, Leukoencephalopathies, Leukoencephalopathy
Datesstart 2025-09-15, primary completion 2026-12-01 (estimated), completion 2026-12-01 (estimated), first posted 2026-10-09, last updated 2026-10-09
Locations1 site in Italy

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-Summary

Mitochondrial disorders (MDs) are among the most common inherited metabolic diseases, caused by genetic defects in mitochondrial or nuclear DNA that impair cellular energy production. The central nervous system (CNS) is frequently affected, due to its high energy demands. Within the broad clinical spectrum of MDs, mitochondrial leukoencephalopathies (MLs) have emerged as a distinct subgroup characterized by CNS white matter involvement.

MLs are clinically and genetically heterogeneous, with onset ranging from infancy to adulthood. Patients may experience episodes of neurological regression, often triggered by stressors such as febrile illnesses, alongside variable motor, cognitive, and occasionally extraneurological involvement. Neuroimaging typically reveals diffuse or focal white matter abnormalities, including cavitation and rarefaction, with additional involvement of deep gray matter structures. Certain ML subtypes exhibit characteristic MRI patterns that may aid in diagnosis.

Despite recent advancements in the genetic and neuroradiological characterization of MLs, significant knowledge gaps persist. Although the number of disease-causing genes has increased over the last decades, a comprehensive understanding of genotype-phenotype correlations is still lacking. Additionally, knowledge on the natural history of these disorders is limited. Existing data often focus on imaging findings with insufficient integration of clinical, biochemical, and molecular features, limiting the understanding of disease mechanisms, progression, and therapeutic responses.

In light of these gaps, this multicenter, observational, retrospective study aims to systematically collect and analyze clinical, biochemical, neuroradiological, and genetic data from individuals with MLs, assessed at international reference centers for MDs. The study seeks to better elucidate the phenotypic variability and genotype-phenotype correlations of MLs. This work is expected to enhance diagnostic accuracy, inform management strategies, support prognostic counseling, and ultimately contribute to the better overall management of affected individuals

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+Outcome measures

Primary outcomes

  • Comprehensive characterization of genotype-phenotype correlations in MLs. [12 months]: The primary endpoint for evaluating the principal objective of this study is the comprehensive characterization of genotype-phenotype correlations in MLs. This will be assessed through the collection and analysis of retrospective longitudinal clinical, neuroradiological and genetic data. Clinical phenotypes will then be stratified based on specific underlying genetic defects, assessing their impact on disease onset and progression to establish robust genotype-phenotype correlations. Data collection will include: * Family history, including inheritance patterns and consanguinity when applicable. * Age at symptom onset * Initial clinical presentation, documenting key symptoms and signs at disease onset. * Progression of disease manifestations, capturing the evolution of neurological and extraneurological features over time. * Neuroradiological findings, assessed through MRI scans to evaluate white matter abnormalities, other signal abnormalities or specific MRI findings

Secondary outcomes

  • The comprehensive characterization of disease progression in MLs, assessed through the collection and analysis of longitudinal clinical, instrumental and genetic data: NMDAS [12 months]: Disease progression in adults assessed by the Newcastle Mitochondrial Disease Adult Scale (NMDAS) Disease severity and progression in adult participants will be assessed using the Newcastle Mitochondrial Disease Adult Scale (NMDAS). Unit of Measure: NMDAS total score.
  • The comprehensive characterization of disease progression in MLs, assessed through the collection and analysis of longitudinal clinical, instrumental and genetic data: Serum lactate levels [12 months]: Serum lactate levels will be collected and analyzed, when available, to characterize biochemical abnormalities and their changes over time Unit of Measure: nmol/h/mg.
  • The comprehensive characterization of disease progression in MLs, assessed through the collection and analysis of longitudinal clinical, instrumental and genetic data. : Serum pyruvate levels [12 months]: Serum pyruvate levels will be collected and analyzed, when available, to characterize biochemical abnormalities and their changes over time Unit of Measure: nmol/h/mg.
  • Change in disease severity in treated adult participants assessed by NMDAS [12 months]: In adult participants receiving disease-specific therapeutic interventions as part of their clinical care, changes in disease severity will be assessed using the Newcastle Mitochondrial Disease Adult Scale (NMDAS), when available. Unit of Measure: NMDAS total score
  • Change in disease severity in treated pediatric participants assessed by NPMDS [12 months]: In pediatric participants receiving disease-specific therapeutic interventions as part of their clinical care, changes in disease severity will be assessed using the Newcastle Paediatric Mitochondrial Disease Scale (NPMDS), when available. NPMDS total score
  • Change in serum lactate levels in treated participants [12 months]: In participants receiving disease-specific therapeutic interventions as part of their clinical care, changes in serum lactate levels will be assessed, when available. Unit of Measure: Serum lactate concentration
  • Change in serum pyruvate levels in treated participants [12 months]: In participants receiving disease-specific therapeutic interventions as part of their clinical care, changes in serum pyruvate levels will be assessed, when available. Unit of Measure: Serum pyruvate concentration
  • Progression of brain MRI abnormalities in treated participants [12 months]: In participants receiving disease-specific therapeutic interventions as part of their clinical care, available longitudinal brain MRI examinations will be evaluated for progression of neuroradiological abnormalities. Unit of Measure: Percentage of participants with radiological progression

+Eligibility

Sex: All

Inclusion Criteria:

* Confirmed diagnosis of ML, confirmed by:

  * Neuroradiological evidence of a MRI pattern of white matter alterations compatible with leukoencephalopathy
  * Genetic evidence of pathogenic variants in nuclear or mitochondrial genes
* Availability of clinical data, including medical records detailing symptom onset, disease progression, neuroimaging findings, and clinical management.
* Written informed consent obtained from the patient or their legal guardian (for minors or individuals with cognitive impairment). If the patient is deceased, consent for the use of medical records in this study will be obtained from the legally authorized representative or next of kin

Exclusion Criteria:

* Unconfirmed diagnosis of mitochondrial leukoencephalopathy , including cases where:

  * MRI findings do not demonstrate a white matter alteration pattern compatible with leukoencephalopathy
  * There is neither genetic confirmation of a pathogenic variant in nuclear or mitochondrial genes
* Insufficient clinical data, including cases where medical records lack essential information on symptom onset, disease progression, neuroimaging findings, or clinical management, preventing a meaningful contribution to the study's objectives.
* Concomitant diagnosis of another genetic disorder that may independently contribute to white matter abnormalities or neurological symptoms, confounding the assessment of ML progression and clinical outcomes
* Unavailability of written informed consent

+Locations (1)

FacilityCityCountryStatus
Fondazione IRCCS Istituto Neurologico Carlo BestaMilanItalyRecruiting

+Publications

  • Roosendaal SD, van de Brug T, Alves CAPF, Blaser S, Vanderver A, Wolf NI, van der Knaap MS. Imaging Patterns Characterizing Mitochondrial Leukodystrophies. AJNR Am J Neuroradiol. 2021 Jul;42(7):1334-1340. doi: 10.3174/ajnr.A7097. Epub 2021 Apr 1. PMID 34255734
  • Kevelam SH, Steenweg ME, Srivastava S, Helman G, Naidu S, Schiffmann R, Blaser S, Vanderver A, Wolf NI, van der Knaap MS. Update on Leukodystrophies: A Historical Perspective and Adapted Definition. Neuropediatrics. 2016 Dec;47(6):349-354. doi: 10.1055/s-0036-1588020. Epub 2016 Aug 26. PMID 27564080
  • Hosseinpour S, Razmara E, Heidari M, Rezaei Z, Ashrafi MR, Dehnavi AZ, Kameli R, Bereshneh AH, Vahidnezhad H, Azizimalamiri R, Zamani Z, Pak N, Rasulinezhad M, Mohammadi B, Ghabeli H, Ghafouri M, Mohammadi M, Zamani GR, Badv RS, Saket S, Rabbani B, Mahdieh N, Ahani A, Garshasbi M, Tavasoli AR. A comprehensive study of mutation and phenotypic heterogeneity of childhood mitochondrial leukodystrophies. Brain Dev. 2024 Apr;46(4):167-179. doi: 10.1016/j.braindev.2023.12.003. Epub 2023 Dec 21. PMID 38129218
  • Finsterer J, Zarrouk Mahjoub S. Leukoencephalopathies in mitochondrial disorders: clinical and MRI findings. J Neuroimaging. 2012 Jul;22(3):e1-11. doi: 10.1111/j.1552-6569.2011.00693.x. Epub 2012 Feb 3. PMID 22303997
  • Bindu PS, Sonam K, Chiplunkar S, Govindaraj P, Nagappa M, Vekhande CC, Aravinda HR, Ponmalar JJ, Mahadevan A, Gayathri N, Bharath MS, Sinha S, Taly AB. Mitochondrial leukoencephalopathies: A border zone between acquired and inherited white matter disorders in children? Mult Scler Relat Disord. 2018 Feb;20:84-92. doi: 10.1016/j.msard.2018.01.003. Epub 2018 Jan 6. PMID 29353736

+Investigators

  • Anna Ardissone, MD, Principal investigator, Fondazione IRCCS Istituto Neurologico Carlo Besta