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Omrani M, Chiarelli RR, Acquaviva M, Bassani C, Dalla Costa G, Montini F, Preziosa P, Pagani L, Grassivaro F, Guerrieri S, Romeo M, Sangalli F, Colombo B, Moiola L, Zaffaroni M, Pietroboni A, Protti A, Puthenparampil M, Bergamaschi R, Comi G, Rocca MA, Martinelli V, Filippi M, Farina C. Machine learning-driven diagnosis of multiple sclerosis from whole blood transcriptomics. Brain Behav Immun 2024; 121:269-277. [PMID: 39097200 DOI: 10.1016/j.bbi.2024.07.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 07/23/2024] [Accepted: 07/28/2024] [Indexed: 08/05/2024] Open
Abstract
Multiple sclerosis (MS) is a neurological disorder characterized by immune dysregulation. It begins with a first clinical manifestation, a clinically isolated syndrome (CIS), which evolves to definite MS in case of further clinical and/or neuroradiological episodes. Here we evaluated the diagnostic value of transcriptional alterations in MS and CIS blood by machine learning (ML). Deep sequencing of more than 200 blood RNA samples comprising CIS, MS and healthy subjects, generated transcriptomes that were analyzed by the binary classification workflow to distinguish MS from healthy subjects and the Time-To-Event pipeline to predict CIS conversion to MS along time. To identify optimal classifiers, we performed algorithm benchmarking by nested cross-validation with the train set in both pipelines and then tested models generated with the train set on an independent dataset for final validation. The binary classification model identified a blood transcriptional signature classifying definite MS from healthy subjects with 97% accuracy, indicating that MS is associated with a clear predictive transcriptional signature in blood cells. When analyzing CIS data with ML survival models, prediction power of CIS conversion to MS was about 72% when using paraclinical data and 74.3% when using blood transcriptomes, indicating that blood-based classifiers obtained at the first clinical event can efficiently predict risk of developing MS. Coupling blood transcriptomics with ML approaches enables retrieval of predictive signatures of CIS conversion and MS state, thus introducing early non-invasive approaches to MS diagnosis.
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Affiliation(s)
- Maryam Omrani
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Rosaria Rita Chiarelli
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Acquaviva
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudia Bassani
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Gloria Dalla Costa
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Federico Montini
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Preziosa
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | | | - Francesca Grassivaro
- Dipartimento di Neuroscienze, Azienda Ospedale - Università di Padova, Padova, Italy
| | - Simone Guerrieri
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marzia Romeo
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Sangalli
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Bruno Colombo
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lucia Moiola
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Mauro Zaffaroni
- Centro Sclerosi Multipla, ASST della Valle Olona, Ospedale di Gallarate, Gallarate, Italy
| | - Anna Pietroboni
- Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Marco Puthenparampil
- Dipartimento di Neuroscienze, Azienda Ospedale - Università di Padova, Padova, Italy
| | | | - Giancarlo Comi
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Vittorio Martinelli
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Cinthia Farina
- Institute of Experimental Neurology and Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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Sleat DE, Banach-Petrosky W, Larrimore KE, Nemtsova Y, Wiseman JA, Najafi A, Johnson D, Poole TA, Takahashi K, Cooper JD, Lobel P. A mouse mutant deficient in both neuronal ceroid lipofuscinosis-associated proteins CLN3 and TPP1. J Inherit Metab Dis 2023; 46:720-734. [PMID: 37078466 PMCID: PMC10330656 DOI: 10.1002/jimd.12619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 04/11/2023] [Accepted: 04/17/2023] [Indexed: 04/21/2023]
Abstract
Late-infantile neuronal ceroid lipofuscinosis (LINCL) and juvenile neuronal ceroid lipofuscinosis (JNCL) are inherited neurodegenerative diseases caused by mutations in the genes encoding lysosomal proteins tripeptidyl peptidase 1 (TPP1) and CLN3 protein, respectively. TPP1 is well-understood and, aided by animal models that accurately recapitulate the human disease, enzyme replacement therapy has been approved and other promising therapies are emerging. In contrast, there are no effective treatments for JNCL, partly because the function of the CLN3 protein remains unknown but also because animal models have attenuated disease and lack robust survival phenotypes. Mouse models for LINCL and JNCL, with mutations in Tpp1 and Cln3, respectively, have been thoroughly characterized but the phenotype of a double Cln3/Tpp1 mutant remains unknown. We created this double mutant and find that its phenotype is essentially indistinguishable from the single Tpp1-/- mutant in terms of survival and brain pathology. Analysis of brain proteomic changes in the single Tpp1-/- and double Cln3-/- ;Tpp1-/- mutants indicates largely overlapping sets of altered proteins and reinforces earlier studies that highlight GPNMB, LYZ2, and SERPINA3 as promising biomarker candidates in LINCL while several lysosomal proteins including SMPD1 and NPC1 appear to be altered in the Cln3-/- animals. An unexpected finding was that Tpp1 heterozygosity significantly decreased lifespan of the Cln3-/- mouse. The truncated survival of this mouse model makes it potentially useful in developing therapies for JNCL using survival as an endpoint. In addition, this model may also provide insights into CLN3 protein function and its potential functional interactions with TPP1.
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Affiliation(s)
- David E. Sleat
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, United States of America
- Department of Biochemistry and Molecular Biology, Robert Wood Johnson Medical School, Rutgers Biomedical Health Sciences, Rutgers University, Piscataway, NJ, United States of America
| | - Whitney Banach-Petrosky
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, United States of America
| | - Katherine E. Larrimore
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, United States of America
| | - Yuliya Nemtsova
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, United States of America
| | - Jennifer A. Wiseman
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, United States of America
| | - Allison Najafi
- The Lundquist Institute (formerly Los Angeles Biomedical Research Institute), Harbor-UCLA Medical Center, and David Geffen School of Medicine, University of California, Los Angeles, Torrance, CA United States of America
| | - Dymonn Johnson
- Departments of Pediatrics, Division of Genetics and Genomic Medicine, Washington University in St Louis, School of Medicine, St Louis, MO, United States of America
| | - Timothy A. Poole
- Departments of Pediatrics, Division of Genetics and Genomic Medicine, Washington University in St Louis, School of Medicine, St Louis, MO, United States of America
| | - Keigo Takahashi
- Departments of Pediatrics, Division of Genetics and Genomic Medicine, Washington University in St Louis, School of Medicine, St Louis, MO, United States of America
| | - Jonathan D. Cooper
- The Lundquist Institute (formerly Los Angeles Biomedical Research Institute), Harbor-UCLA Medical Center, and David Geffen School of Medicine, University of California, Los Angeles, Torrance, CA United States of America
- Departments of Pediatrics, Division of Genetics and Genomic Medicine, Washington University in St Louis, School of Medicine, St Louis, MO, United States of America
- Genetics, Division of Genetics and Genomic Medicine, Washington University in St Louis, School of Medicine, St Louis, MO, United States of America
- Neurology, Division of Genetics and Genomic Medicine, Washington University in St Louis, School of Medicine, St Louis, MO, United States of America
| | - Peter Lobel
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, United States of America
- Department of Biochemistry and Molecular Biology, Robert Wood Johnson Medical School, Rutgers Biomedical Health Sciences, Rutgers University, Piscataway, NJ, United States of America
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Singh RB, Gupta P, Kartik A, Farooqui N, Singhal S, Shergill S, Singh KP, Agarwal A. Ocular Manifestations of Neuronal Ceroid Lipofuscinoses. Semin Ophthalmol 2021; 36:582-595. [PMID: 34106804 DOI: 10.1080/08820538.2021.1936571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Neuronal ceroid lipofuscinoses (NCLs) are a group of rare neurodegenerative storage disorders associated with devastating visual prognosis, with an incidence of 1/1,000,000 in the United States and comparatively higher incidence in European countries. The pathophysiological mechanisms causing NCLs occur due to enzymatic or transmembrane defects in various sub-cellular organelles including lysosomes, endoplasmic reticulum, and cytoplasmic vesicles. NCLs are categorized into different types depending upon the underlying cause i.e., soluble lysosomal enzyme deficiencies or non-enzymatic deficiencies (functions of identified proteins), which are sub-divided based on an axial classification system. In this review, we have evaluated the current evidence in the literature and reported the incidence rates, underlying mechanisms and currently available management protocols for these rare set of neuroophthalmological disorders. Additionally, we also highlighted the potential therapies under development that can expand the treatment of these rare disorders beyond symptomatic relief.
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Affiliation(s)
- Rohan Bir Singh
- Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.,Department of Ophthalmology, Leiden University Medical Center, Leiden, The Netherlands
| | - Prakash Gupta
- Department of Internal Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Akash Kartik
- Department of Hepatobiliary and Pancreatic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Naba Farooqui
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sachi Singhal
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sukhman Shergill
- Department of Anesthesiology, Yale-New Haven Hospital, New Haven, CT, USA
| | - Kanwar Partap Singh
- Department of Ophthalmology, Dayanand Medical College & Hospital, Ludhiana, India
| | - Aniruddha Agarwal
- Eye Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
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4
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Gomez-Giro G, Arias-Fuenzalida J, Jarazo J, Zeuschner D, Ali M, Possemis N, Bolognin S, Halder R, Jäger C, Kuper WFE, van Hasselt PM, Zaehres H, del Sol A, van der Putten H, Schöler HR, Schwamborn JC. Synapse alterations precede neuronal damage and storage pathology in a human cerebral organoid model of CLN3-juvenile neuronal ceroid lipofuscinosis. Acta Neuropathol Commun 2019; 7:222. [PMID: 31888773 PMCID: PMC6937812 DOI: 10.1186/s40478-019-0871-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Accepted: 12/13/2019] [Indexed: 12/15/2022] Open
Abstract
The juvenile form of neuronal ceroid Lipofuscinosis (JNCL) is the most common form within this group of rare lysosomal storage disorders, causing pediatric neurodegeneration. The genetic disorder, which is caused by recessive mutations affecting the CLN3 gene, features progressive vision loss, cognitive and motor decline and other psychiatric conditions, seizure episodes, leading to premature death. Animal models have traditionally aid the understanding of the disease mechanisms and pathology and are very relevant for biomarker research and therapeutic testing. Nevertheless, there is a need for establishing reliable and predictive human cellular models to study the disease. Since patient material, particularly from children, is scarce and difficult to obtain, we generated an engineered a CLN3-mutant isogenic human induced pluripotent stem cell (hiPSC) line carrying the c.1054C → T pathologic variant, using state of the art CRISPR/Cas9 technology. To prove the suitability of the isogenic pair to model JNCL, we screened for disease-specific phenotypes in non-neuronal two-dimensional cell culture models as well as in cerebral brain organoids. Our data demonstrates that the sole introduction of the pathogenic variant gives rise to classical hallmarks of JNCL in vitro. Additionally, we discovered an alteration of the splicing caused by this particular mutation. Next, we derived cerebral organoids and used them as a neurodevelopmental model to study the particular effects of the CLN3Q352X mutation during brain formation in the disease context. About half of the mutation -carrying cerebral organoids completely failed to develop normally. The other half, which escaped this severe defect were used for the analysis of more subtle alterations. In these escapers, whole-transcriptome analysis demonstrated early disease signatures, affecting pathways related to development, corticogenesis and synapses. Complementary metabolomics analysis confirmed decreased levels of cerebral tissue metabolites, some particularly relevant for synapse formation and neurotransmission, such as gamma-amino butyric acid (GABA). Our data suggests that a mutation in CLN3 severely affects brain development. Furthermore, before disease onset, disease -associated neurodevelopmental changes, particular concerning synapse formation and function, occur.
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5
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Huber RJ, Hughes SM, Liu W, Morgan A, Tuxworth RI, Russell C. The contribution of multicellular model organisms to neuronal ceroid lipofuscinosis research. Biochim Biophys Acta Mol Basis Dis 2019; 1866:165614. [PMID: 31783156 DOI: 10.1016/j.bbadis.2019.165614] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 02/07/2023]
Abstract
The NCLs (neuronal ceroid lipofuscinosis) are forms of neurodegenerative disease that affect people of all ages and ethnicities but are most prevalent in children. Commonly known as Batten disease, this debilitating neurological disorder is comprised of 13 different subtypes that are categorized based on the particular gene that is mutated (CLN1-8, CLN10-14). The pathological mechanisms underlying the NCLs are not well understood due to our poor understanding of the functions of NCL proteins. Only one specific treatment (enzyme replacement therapy) is approved, which is for the treating the brain in CLN2 disease. Hence there remains a desperate need for further research into disease-modifying treatments. In this review, we present and evaluate the genes, proteins and studies performed in the social amoeba, nematode, fruit fly, zebrafish, mouse and large animals pertinent to NCL. In particular, we highlight the use of multicellular model organisms to study NCL protein function, pathology and pathomechanisms. Their use in testing novel therapeutic approaches is also presented. With this information, we highlight how future research in these systems may be able to provide new insight into NCL protein functions in human cells and aid in the development of new therapies.
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Affiliation(s)
- Robert J Huber
- Department of Biology, Trent University, Peterborough, Ontario K9L 0G2, Canada
| | - Stephanie M Hughes
- Department of Biochemistry, School of Biomedical Sciences, Brain Health Research Centre and Genetics Otago, University of Otago, Dunedin, New Zealand
| | - Wenfei Liu
- School of Pharmacy, University College London, London, WC1N 1AX, UK
| | - Alan Morgan
- Department of Cellular and Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Crown St., Liverpool L69 3BX, UK
| | - Richard I Tuxworth
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK
| | - Claire Russell
- Dept. Comparative Biomedical Sciences, Royal Veterinary College, Royal College Street, London NW1 0TU, UK.
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Mole SE, Anderson G, Band HA, Berkovic SF, Cooper JD, Kleine Holthaus SM, McKay TR, Medina DL, Rahim AA, Schulz A, Smith AJ. Clinical challenges and future therapeutic approaches for neuronal ceroid lipofuscinosis. Lancet Neurol 2019; 18:107-116. [PMID: 30470609 DOI: 10.1016/s1474-4422(18)30368-5] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 10/01/2018] [Accepted: 10/03/2018] [Indexed: 12/24/2022]
Abstract
Treatment of the neuronal ceroid lipofuscinoses, also known as Batten disease, is at the start of a new era because of diagnostic and therapeutic advances relevant to this group of inherited neurodegenerative and life-limiting disorders that affect children. Diagnosis has improved with the use of comprehensive DNA-based tests that simultaneously screen for many genes. The identification of disease-causing mutations in 13 genes provides a basis for understanding the molecular mechanisms underlying neuronal ceroid lipofuscinoses, and for the development of targeted therapies. These targeted therapies include enzyme replacement therapies, gene therapies targeting the brain and the eye, cell therapies, and pharmacological drugs that could modulate defective molecular pathways. Such therapeutic developments have the potential to enable earlier diagnosis and better targeted therapeutic management. The first approved treatment is an intracerebroventricularly administered enzyme for neuronal ceroid lipofuscinosis type 2 disease that delays symptom progression. Efforts are underway to make similar progress for other forms of the disorder.
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Affiliation(s)
- Sara E Mole
- Medical Research Council Laboratory for Molecular Cell Biology and UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
| | - Glenn Anderson
- Department of Histopathology, Great Ormond Street Hospital, London, UK
| | | | - Samuel F Berkovic
- Epilepsy Research Centre, Department of Medicine, Austin Health & Northern Health, University of Melbourne, Melbourne, VIC, Australia
| | - Jonathan D Cooper
- Department of Pediatrics, Washington University School of Medicine, St Louis, MO, USA
| | | | - Tristan R McKay
- Centre for Bioscience, Manchester Metropolitan University, Manchester, UK
| | - Diego L Medina
- Telethon Institute of Genetics and Medicine, Naples, Italy
| | - Ahad A Rahim
- UCL School of Pharmacy, University College London, London, UK
| | - Angela Schulz
- Department of Pediatrics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexander J Smith
- UCL Institute of Ophthalmology, University College London, London, UK
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