Omic-profiel bij Autisme Spectrum Stoornis: Van cellulair niveau naar toekomstige behandelingen (Aut_Omic)
Omic-profiel in autismespectrumstoornis: van cellulair niveau naar toekomstige behandelingen
This is an interventional non pharmacological study in pediatric patientis affected by Autism Spectrum Disorder. It ams to create a collection of iPSCs and hiNSCs derived from deeply characterized ASD patients, to omics-characterize the cells, and to study the behavioral pattern of microglia-like cells in the onset of ASD.
Studie Overzicht
Toestand
Conditie
Interventie / Behandeling
Gedetailleerde beschrijving
ASD is a neurodevelopmental disorder affecting about 1 in 36 children and with a frequency increasing over time, thus delineating a significant social and public health problem that needs to be faced, as well as an important field of study and research.
This project starts from the idea that complex diseases such as ASD must be tackled with a multidisciplinary approach.
The investigators are collecting a large number of somatic cells from ASD patients who have been highly characterized and stratified in subgroups from a clinical, genetic, neurological and neuropsychological point and reprogramming these cells into induced pluripotent stem cells from which the cells of three embryonic germ layers originate.
Combining the expertise of the two Units, the project will have two short-term results:
- a large collection of cell models from highly characterized ASD patients that can be shared with scientific community to speed up the understanding of the causes of the disease
- the knowledge of pathological pathways of cells belonging to well characterized patients: omic analyses will be correlated to clinical/genetic data to understand if a specific subgroup has specific omic profile or the same profile is common to all ASD subgroups, if a specific clinical feature or genetic polymorphism is correlated with omic data.
Studietype
Inschrijving (Geschat)
Fase
- Niet toepasbaar
Contacten en locaties
Studie Locaties
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Milan, Italië, 20133
- Foundation IRCCS Carlo Besta Neurological Institute
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
Accepteert gezonde vrijwilligers
Geslachten die in aanmerking komen voor studie
Beschrijving
Inclusion Criteria:
- Defined ASD diagnosis according to DSM-5 criteria
- Age 3-15 years
- Informed consent signed by the guardians/legal representatives.
Exclusion Criteria:
- Exclusion criteria for Group 1 will be: having a defined genetic diagnosis or an overall clinical presentation strongly suggestive for a syndromic condition. For this definition we will apply the criteria ASD associated with at least one of the following: >=3 facial anomalies, >=1 major/>=2 minor malformation (following EUROCAT classification), clinical issue affecting >=2 systems. Children showing such phenotypes but having no current genetic diagnosis could not be included in the study. Patients with a syndromic presentation and confirmed genetic diagnosis will be included in the Syndromic Group 2.
- No standardized test to establish diagnosis
- Parents refusing to complete the consent form
- Impossible blood sample collection.
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Fundamentele wetenschap
- Toewijzing: NVT
- Interventioneel model: Opdracht voor een enkele groep
- Masker: Geen (open label)
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
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Experimenteel: Single arm study
the arm is constituted by 100 pediatric patients (aged -15) with ASD diagnosis |
The blood sample collection performed in the study is for research purposes only and therefore not collected for clinical purposes. The patient cohort is extensively studied and well stratified, so cell models production and subsequent Omic analyses could be cross-referenced with detailed phenotype data. |
Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Measurement of severity of ASD core symptoms with ADOS2
Tijdsspanne: 1 year
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Outcome unity of measure: Calibrated Severity Scores - Measure range: 1-10 |
1 year
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Measurement of severity of ASD core symptoms with SRS 2
Tijdsspanne: 1 year
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Outcome unity of measure: T-score - Measure range: 30-90 |
1 year
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Measurement of developmental abilities with Griffiths III scales
Tijdsspanne: 1 year
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Outcome unity of measure: GQ - Measure range: <20-150 |
1 year
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Measurement of cognitive abilities with Wechsler scales
Tijdsspanne: 1 year
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Outcome unity of measure: IQ - Measure range: <20-160 |
1 year
|
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Measurement of cognitive abilities with Leiter 3 scales
Tijdsspanne: 1 year
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Outcome unity of measure: IQ - Measure range: 40-160 |
1 year
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Quantification of emotional and behavioral problems with CBCL
Tijdsspanne: 1 year
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Outcome unity of measure: Raw score - Measure range: 0-200 for children <6 years old / and 0-226 for children 6-18 years old |
1 year
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Verification on iPSs of presence/absence of expression of stem cell genes and genes from the three embryonic layers
Tijdsspanne: 1 year
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Outcome unity of measure: Gene expression - Measure range: yes/no |
1 year
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Percentage of hiNSCs differentiating into astrocytes, oligodendrocytes, and neurons
Tijdsspanne: 1 year
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Outcome unity of measure: % cells differentiated/tot numeber of cells - Measure range: 0-100% |
1 year
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Measurement of length of neurite growth in hiNSCs
Tijdsspanne: 1 year
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Outcome unity of measure: µm - Measure range 0-500 µm |
1 year
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Measurement of concentration of distinct lipid molecular species in ASD derived cells and control derived cells in order to assess the differences in lipidomic profiles
Tijdsspanne: 1 year
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Outcome unity of measure: µmol/L - Measure range: 0.001 µmol/L - >10,000 µmol/L |
1 year
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Medewerkers en onderzoekers
Publicaties en nuttige links
Algemene publicaties
- Maenner MJ, Warren Z, Williams AR, Amoakohene E, Bakian AV, Bilder DA, Durkin MS, Fitzgerald RT, Furnier SM, Hughes MM, Ladd-Acosta CM, McArthur D, Pas ET, Salinas A, Vehorn A, Williams S, Esler A, Grzybowski A, Hall-Lande J, Nguyen RHN, Pierce K, Zahorodny W, Hudson A, Hallas L, Mancilla KC, Patrick M, Shenouda J, Sidwell K, DiRienzo M, Gutierrez J, Spivey MH, Lopez M, Pettygrove S, Schwenk YD, Washington A, Shaw KA. Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020. MMWR Surveill Summ. 2023 Mar 24;72(2):1-14. doi: 10.15585/mmwr.ss7202a1.
- Willsey AJ, Sanders SJ, Li M, Dong S, Tebbenkamp AT, Muhle RA, Reilly SK, Lin L, Fertuzinhos S, Miller JA, Murtha MT, Bichsel C, Niu W, Cotney J, Ercan-Sencicek AG, Gockley J, Gupta AR, Han W, He X, Hoffman EJ, Klei L, Lei J, Liu W, Liu L, Lu C, Xu X, Zhu Y, Mane SM, Lein ES, Wei L, Noonan JP, Roeder K, Devlin B, Sestan N, State MW. Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism. Cell. 2013 Nov 21;155(5):997-1007. doi: 10.1016/j.cell.2013.10.020.
- Wen Z, Nguyen HN, Guo Z, Lalli MA, Wang X, Su Y, Kim NS, Yoon KJ, Shin J, Zhang C, Makri G, Nauen D, Yu H, Guzman E, Chiang CH, Yoritomo N, Kaibuchi K, Zou J, Christian KM, Cheng L, Ross CA, Margolis RL, Chen G, Kosik KS, Song H, Ming GL. Synaptic dysregulation in a human iPS cell model of mental disorders. Nature. 2014 Nov 20;515(7527):414-8. doi: 10.1038/nature13716. Epub 2014 Aug 17.
- Waizbard-Bartov E, Fein D, Lord C, Amaral DG. Autism severity and its relationship to disability. Autism Res. 2023 Apr;16(4):685-696. doi: 10.1002/aur.2898. Epub 2023 Feb 14.
- Vargas DL, Nascimbene C, Krishnan C, Zimmerman AW, Pardo CA. Neuroglial activation and neuroinflammation in the brain of patients with autism. Ann Neurol. 2005 Jan;57(1):67-81. doi: 10.1002/ana.20315.
- Turco EM, Giovenale AMG, Sireno L, Mazzoni M, Cammareri A, Marchioretti C, Goracci L, Di Veroli A, Marchesan E, D'Andrea D, Falconieri A, Torres B, Bernardini L, Magnifico MC, Paone A, Rinaldo S, Della Monica M, D'Arrigo S, Postorivo D, Nardone AM, Zampino G, Onesimo R, Leoni C, Caicci F, Raimondo D, Binda E, Trobiani L, De Jaco A, Tata AM, Ferrari D, Cutruzzola F, Mazzoccoli G, Ziviani E, Pennuto M, Vescovi AL, Rosati J. Retinoic acid-induced 1 gene haploinsufficiency alters lipid metabolism and causes autophagy defects in Smith-Magenis syndrome. Cell Death Dis. 2022 Nov 21;13(11):981. doi: 10.1038/s41419-022-05410-7.
- Sellgren CM, Sheridan SD, Gracias J, Xuan D, Fu T, Perlis RH. Patient-specific models of microglia-mediated engulfment of synapses and neural progenitors. Mol Psychiatry. 2017 Feb;22(2):170-177. doi: 10.1038/mp.2016.220. Epub 2016 Dec 13.
- Ryan KJ, White CC, Patel K, Xu J, Olah M, Replogle JM, Frangieh M, Cimpean M, Winn P, McHenry A, Kaskow BJ, Chan G, Cuerdon N, Bennett DA, Boyd JD, Imitola J, Elyaman W, De Jager PL, Bradshaw EM. A human microglia-like cellular model for assessing the effects of neurodegenerative disease gene variants. Sci Transl Med. 2017 Dec 20;9(421):eaai7635. doi: 10.1126/scitranslmed.aai7635.
- Rosati J, Ferrari D, Altieri F, Tardivo S, Ricciolini C, Fusilli C, Zalfa C, Profico DC, Pinos F, Bernardini L, Torres B, Manni I, Piaggio G, Binda E, Copetti M, Lamorte G, Mazza T, Carella M, Gelati M, Valente EM, Simeone A, Vescovi AL. Establishment of stable iPS-derived human neural stem cell lines suitable for cell therapies. Cell Death Dis. 2018 Sep 17;9(10):937. doi: 10.1038/s41419-018-0990-2.
- Prince N, Chu SH, Chen Y, Mendez KM, Hanson E, Green-Snyder L, Brooks E, Korrick S, Lasky-Su JA, Kelly RS. Phenotypically driven subgroups of ASD display distinct metabolomic profiles. Brain Behav Immun. 2023 Jul;111:21-29. doi: 10.1016/j.bbi.2023.03.026. Epub 2023 Mar 31.
- Rolland T, Cliquet F, Anney RJL, Moreau C, Traut N, Mathieu A, Huguet G, Duan J, Warrier V, Portalier S, Dry L, Leblond CS, Douard E, Amsellem F, Malesys S, Maruani A, Toro R, Borglum AD, Grove J, Baron-Cohen S, Packer A, Chung WK, Jacquemont S, Delorme R, Bourgeron T. Phenotypic effects of genetic variants associated with autism. Nat Med. 2023 Jul;29(7):1671-1680. doi: 10.1038/s41591-023-02408-2. Epub 2023 Jun 26.
- Ormel PR, Bottcher C, Gigase FAJ, Missall RD, van Zuiden W, Fernandez Zapata MC, Ilhan D, de Goeij M, Udine E, Sommer IEC, Priller J, Raj T, Kahn RS, Hol EM, de Witte LD. A characterization of the molecular phenotype and inflammatory response of schizophrenia patient-derived microglia-like cells. Brain Behav Immun. 2020 Nov;90:196-207. doi: 10.1016/j.bbi.2020.08.012. Epub 2020 Aug 13.
- Nimmerjahn A, Kirchhoff F, Helmchen F. Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo. Science. 2005 May 27;308(5726):1314-8. doi: 10.1126/science.1110647. Epub 2005 Apr 14.
- Liu X, Campanac E, Cheung HH, Ziats MN, Canterel-Thouennon L, Raygada M, Baxendale V, Pang AL, Yang L, Swedo S, Thurm A, Lee TL, Fung KP, Chan WY, Hoffman DA, Rennert OM. Idiopathic Autism: Cellular and Molecular Phenotypes in Pluripotent Stem Cell-Derived Neurons. Mol Neurobiol. 2017 Aug;54(6):4507-4523. doi: 10.1007/s12035-016-9961-8. Epub 2016 Jun 29.
- Lim M, Carollo A, Dimitriou D, Esposito G. Recent Developments in Autism Genetic Research: A Scientometric Review from 2018 to 2022. Genes (Basel). 2022 Sep 14;13(9):1646. doi: 10.3390/genes13091646.
- Kinsner-Ovaskainen A, Lanzoni M, Garne E, Loane M, Morris J, Neville A, Nicholl C, Rankin J, Rissmann A, Tucker D, Martin S. A sustainable solution for the activities of the European network for surveillance of congenital anomalies: EUROCAT as part of the EU Platform on Rare Diseases Registration. Eur J Med Genet. 2018 Sep;61(9):513-517. doi: 10.1016/j.ejmg.2018.03.008. Epub 2018 Mar 27.
- Genovese A, Butler MG. The Autism Spectrum: Behavioral, Psychiatric and Genetic Associations. Genes (Basel). 2023 Mar 9;14(3):677. doi: 10.3390/genes14030677.
- Di Lullo E, Kriegstein AR. The use of brain organoids to investigate neural development and disease. Nat Rev Neurosci. 2017 Oct;18(10):573-584. doi: 10.1038/nrn.2017.107. Epub 2017 Sep 7.
- Chiarotti F, Venerosi A. Epidemiology of Autism Spectrum Disorders: A Review of Worldwide Prevalence Estimates Since 2014. Brain Sci. 2020 May 1;10(5):274. doi: 10.3390/brainsci10050274.
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Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- PNRR-MCNT1-2023-12377520
- PNNR Funding (Ander subsidie-/financieringsnummer: Ministry of Health)
Plan Individuele Deelnemersgegevens (IPD)
Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?
Beschrijving IPD-plan
UO1 and UO2 will share data about all the 3 aims of the study: clinical phenotypes, cellular models and microglia findings.
IPD-tijdsbestek voor delen
25 years, from August 31st 2024 to August 31st 2049.
IPD-toegangscriteria voor delen
Clinical and neuropsychological data are collected on paper support and than entered in REDCap by UO1 staff. Cellular and molecular data are collected and entered in REDCap by UO2 staff.
Only the clinical personnel involved in the study will have access to data, that could be accessed anytime but only from the Institutional Organizations participating in the study.
IPD delen Ondersteunend informatietype
- LEERPROTOCOOL
- SAP
- ICF
- MVO
Informatie over medicijnen en apparaten, studiedocumenten
Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel
Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct
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