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Taking people in ItalyNo phase

Studies patient samples and scans to understand ALS differences

Observes adults with amyotrophic lateral sclerosis using clinical tests, scans, lumbar puncture and genetic analysis.

Plain-language title generated from the registry record
Registry title: A Patient-tailored Genetic/Biomarker/iPSC Combined Approach in ALS - PERMEALS

Key facts

Where
Milan, Naples, and Torino, ItalySee the 4 sites

Where in Italy

  • IRCCS Istituto Auxologico ItalianoMilan, ItalyTaking people
  • Istituto di Ricerche Farmacologiche Mario Negri IRCCSMilan, ItalyTaking people
  • Universita degli Studi della Campania Luigi VanvitelliNaples, ItalyTaking people
  • AOU Città della Salute e della Scienza di TorinoTorino, ItalyTaking people

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Trial details

Who runs it
A.O.U. Città della Salute e della Scienza
Trial code
NCT06917924
Record updated
9 April 2025
Original description
Amyotrophic Lateral Sclerosis (ALS) is a severe and incurable neurodegenerative disease of motor neurons with a dramatic socio-economic impact on the national health system. ALS is a complex disorder with the majority of cases being sporadic and about 15% of cases showing familial history. It is characterized by high genetic heterogeneity, with more than 30 causative genes accounting for 60% of familial and 10% of sporadic cases. The clinical manifestations of ALS are variable with respect to age and site of onset, disease progression, relative upper versus lower motor neuron involvement, genetic background, and the occurrence of cognitive and behavioral change. This remains the case in those families with known disease-causing variants, suggesting that additional disease-modifying factors exist. A variety of wet biomarkers, including neurofilaments and extracellular vesicles, hold great promise in predicting the development of the disease and the variability in its progression. Neuroimaging techniques have been demonstrated to be able to detect abnormalities in motor and non-motor areas with a variety of patterns that reflect disease severity, progression, and duration. Disease heterogeneity is likely underpinned by the presence of different pathogenic mechanisms that can be studied at a molecular level in preclinical models. Human-induced pluripotent stem cells (iPSC) and derived motor neurons have shown functional disease-relevant phenotypes and seem to be particularly useful in modeling the heterogeneity of human ALS. All these pieces of information scattered in different studies have not been combined to drive research toward personalized medicine. In this project, the investigators gathered a team of exceptional and specific expertise in all these aspects of ALS research. The research group will perform an in-depth characterization of the clinical, neuroradiological, genetic, and biochemical levels of a cohort of ALS patients. In particular, researchers will measure selected established biomarkers mirroring fundamental pathophysiological processes in ALS such as neuroaxonal degeneration, alterations in protein homeostasis, TDP-43 pathology, neuroinflammation, and cell-cell communication. The investigators will also use neuroimaging techniques to highlight the structural and functional correlates of neurodegeneration in ALS. Next, researchers will integrate all these data by using artificial intelligence approaches with the aim of identifying different signatures that can be modeled in vitro in patient-derived iPSC. The investigators are confident that the PERMEALS project, by using a combined multi-angled approach, will represent the first step toward a personalized medicine to cure ALS.Read full original descriptionShow less

Towards a PERsonalized MEdicine in Amyotrophic Lateral Sclerosis (ALS) by a Patient-tailored Genetic/Biomarker/iPSC Combined Approach - PERMEALS

Amyotrophic Lateral Sclerosis (ALS) is a severe and incurable neurodegenerative disease of motor neurons with a dramatic socio-economic impact on the national health system. ALS is a complex disorder with the majority of cases being sporadic and about 15% of cases showing familial history. It is characterized by high genetic heterogeneity, with more than 30 causative genes accounting for 60% of familial and 10% of sporadic cases. The clinical manifestations of ALS are variable with respect to age and site of onset, disease progression, relative upper versus lower motor neuron involvement, genetic background, and the occurrence of cognitive and behavioral change. This remains the case in those families with known disease-causing variants, suggesting that additional disease-modifying factors exist. A variety of wet biomarkers, including neurofilaments and extracellular vesicles, hold great promise in predicting the development of the disease and the variability in its progression. Neuroimaging techniques have been demonstrated to be able to detect abnormalities in motor and non-motor areas with a variety of patterns that reflect disease severity, progression, and duration. Disease heterogeneity is likely underpinned by the presence of different pathogenic mechanisms that can be studied at a molecular level in preclinical models. Human-induced pluripotent stem cells (iPSC) and derived motor neurons have shown functional disease-relevant phenotypes and seem to be particularly useful in modeling the heterogeneity of human ALS. All these pieces of information scattered in different studies have not been combined to drive research toward personalized medicine. In this project, the investigators gathered a team of exceptional and specific expertise in all these aspects of ALS research. The research group will perform an in-depth characterization of the clinical, neuroradiological, genetic, and biochemical levels of a cohort of ALS patients. In particular, researchers will measure selected established biomarkers mirroring fundamental pathophysiological processes in ALS such as neuroaxonal degeneration, alterations in protein homeostasis, TDP-43 pathology, neuroinflammation, and cell-cell communication. The investigators will also use neuroimaging techniques to highlight the structural and functional correlates of neurodegeneration in ALS. Next, researchers will integrate all these data by using artificial intelligence approaches with the aim of identifying different signatures that can be modeled in vitro in patient-derived iPSC. The investigators are confident that the PERMEALS project, by using a combined multi-angled approach, will represent the first step toward a personalized medicine to cure ALS.

Inclusion: Diagnosis of ALS.

Exclusion: ALS patients under 18 years old.

ClinicalTrials.gov NCT06917924