Comprehensive Deep Phenotyping and Multi-omics to Develop Clinical and Molecular Biomarkers for MeCP2-related Diseases
全面的深度表型分析和多组学开发 MeCP2 相关疾病的临床和分子生物标志物
基本信息
- 批准号:10680582
- 负责人:
- 金额:$ 21.03万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-15 至 2027-06-30
- 项目状态:未结题
- 来源:
- 关键词:AffectAllelesAntisense OligonucleotidesAutomobile DrivingBiliverdineBinding ProteinsBiological MarkersBlood specimenBostonBrainBrain regionCell NucleusChildChromatinClinicalClinical TrialsComplexCountryDNA Sequence RearrangementDedicationsDevelopmentDiseaseDoseDropsEnrollmentFemaleGenesGeneticGenomicsGenotypeHemeHumanIntellectual functioning disabilityLinkMapsMeCP2 Duplication SyndromeMeasurableMeasurementMeasuresMentorsMethyl-CpG-Binding Protein 2ModalityMoodsMusNatural HistoryNeurodevelopmental DisorderNeuronsNuclearOffice VisitsOpticsOutcome MeasurePatientsPediatric HospitalsPhenotypePhosphoric Monoester HydrolasesPhosphotransferasesPhysical ExaminationPopulationPositioning AttributeProteinsRecording of previous eventsResolutionRett SyndromeSeveritiesSeverity of illnessStructureSymptomsSyndromeTexasTherapeuticUniversitiesVisitWestern BlottingWild Type MouseWorkbiomarker identificationbiomarker panelbiomarker validationcandidate markerclinical biomarkersclinical diagnosticsclinical outcome measurescohortcomparative genomic hybridizationdiagnostic criteriadisabling symptomgene productgenome sequencinghuman subjecthumanized mouseloss of function mutationlymphoblastmalemolecular markermotor controlmultiple omicspatient populationpreclinical studypreventtreatment responsewhole genome
项目摘要
Abstract
The X-linked gene MECP2 (methyl CpG-binding protein 2) is associated with two major
neurodevelopmental disorders: Rett Syndrome (RTT), caused by loss-of-function mutations in MeCP2, and
MECP2 duplication syndrome (MDS), caused by too much MeCP2. RTT is one of the most common genetic
causes of intellectual disability in females, while (MDS) is one of the most common genomic rearrangements in
males. Because the MeCP2 protein regulates the expression of thousands of genes across multiple brain
regions, the phenotype of each disease extends well beyond intellectual disability to affect mood, motor control,
and autonomic functions1. The brain is exquisitely sensitive to the quantity of MeCP2: a drop of just 16% in
MeCP2 levels is enough to produce Rett-like symptoms. This single fact is a salient challenge to the most
promising therapies being developed for these diseases: slightly over-shooting treatment for RTT by increasing
MeCP2 levels too much will cause MDS; suppressing MeCP2 levels too much in MDS will cause RTT. To avoid
simply exchanging one set of debilitating symptoms for another, we need reliable ways to measure treatment
responses and to assess whether we are administering the correct dose.
Preclinical studies in humanized mice have convincingly demonstrated that antisense oligonucleotides
(ASO) can reduce MeCP2 levels and reverse the MDS phenotype; more recent work identified kinases and
phosphatases that regulate MeCP2 stability, again with good results in mice. These options are both extremely
promising, but how do we measure MeCP2 levels in patients? MeCP2 is a nuclear, chromatin-bound protein
that is expressed at very high levels in the brain, where it is not accessible to direct measurement. We have
therefore been searching for other molecules that correlate with MeCP2 levels but are measurable in blood
samples or other relatively noninvasive means. I propose that, for such complex diseases as RTT and MDS, a
composite biomarker panel will be superior to any single-modality measure to judge treatment response. Our
preliminary studies have already identified two important molecular biomarkers that track with MeCP2 levels
in mice; we have several additional candidates as well. This study therefore aims to develop a panel of clinical
and molecular biomarkers that will guide therapeutic efforts to prevent over- or under-treatment in these
diseases. Texas Children's Hospital has the largest patient populations in the country for both RTT and MDS,
so we are well-positioned to accomplish 1) Develop outcome measures for MDS; 2) Correlate phenotypes with
the genomic structure at Xq28 locus; and 3) Validate in humans molecular biomarkers that track with changes
in MeCP2 levels in mice. Completing these three aims will lay the groundwork for clinical trials of ASOs in
MDS and pave the path forward for studies involving other allelic disorders involving too much or too little of
the same gene product.
摘要
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Exploring the characteristics and most bothersome symptoms in MECP2 duplication syndrome to pave the path toward developing parent-oriented outcome measures.
- DOI:10.1002/mgg3.1989
- 发表时间:2022-08
- 期刊:
- 影响因子:2
- 作者:
- 通讯作者:
Biallelic variants in ADAMTS15 cause a novel form of distal arthrogryposis.
- DOI:10.1016/j.gim.2022.07.012
- 发表时间:2022-10
- 期刊:
- 影响因子:8.8
- 作者:Boschann, Felix;Cogulu, Muhsin O.;Pehlivan, Davut;Balachandran, Saranya;Vallecillo-Garcia, Pedro;Grochowski, Christopher M.;Hansmeier, Nils R.;Akdemir, Zeynep H. Coban;Prada-Medina, Cesar A.;Aykut, Ayca;Fischer-Zirnsak, Bjorn;Badura, Simon;Durmaz, Burak;Ozkinay, Ferda;Haegerling, Rene;Posey, Jennifer E.;Stricker, Sigmar;Gillessen-Kaesbach, Gabriele;Spielmann, Malte;Horn, Denise;Brockmann, Knut;Lupski, James R.;Kornak, Uwe;Schmidt, Julia
- 通讯作者:Schmidt, Julia
Publisher Correction: Detection of mosaic and population-level structural variants with Sniffles2.
出版商更正:使用 Sniffles2 检测马赛克和群体水平的结构变异。
- DOI:10.1038/s41587-024-02141-2
- 发表时间:2024
- 期刊:
- 影响因子:46.9
- 作者:Smolka,Moritz;Paulin,LuisF;Grochowski,ChristopherM;Horner,DominicW;Mahmoud,Medhat;Behera,Sairam;Kalef-Ezra,Ester;Gandhi,Mira;Hong,Karl;Pehlivan,Davut;Scholz,SonjaW;Carvalho,ClaudiaMB;Proukakis,Christos;Sedlazeck,FritzJ
- 通讯作者:Sedlazeck,FritzJ
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Davut Pehlivan其他文献
Davut Pehlivan的其他文献
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{{ truncateString('Davut Pehlivan', 18)}}的其他基金
Comprehensive Deep Phenotyping and Multi-omics to Develop Clinical and Molecular Biomarkers for MeCP2-related Diseases
全面的深度表型分析和多组学开发 MeCP2 相关疾病的临床和分子生物标志物
- 批准号:
10526111 - 财政年份:2022
- 资助金额:
$ 21.03万 - 项目类别:
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