Pietro  Spitali

Dr. Pietro Spitali

Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2007 in Neuromuscular Disorders
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Journal Article
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MNMarcella Neri
Marcella Neri
STSilvia Torelli
Silvia Torelli
SBSue Brown
Sue Brown
IUIsabella Ugo
Isabella Ugo
PSPatrizia Sabatelli
Patrizia Sabatelli
FMFrancesco Muntoni
Francesco Muntoni

10 July 2014 in Annals of Neurology
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Journal Article
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NDNathalie Doorenweerd
Nathalie Doorenweerd
CSChiara S. Straathof
Chiara S. Straathof
EDEve M. Dumas
Eve M. Dumas
PSPietro Spitali
Pietro Spitali
IGIeke B. Ginjaar
Ieke B. Ginjaar
HKHermien Kan
Hermien Kan

11 June 2014 in EMBO Molecular Medicine
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Journal Article
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BABurcu Ayoglu
Burcu Ayoglu
ACAmina Chaouch
Amina Chaouch
HLHanns Lochmüller
Hanns Lochmüller
LPLuisa Politano
Luisa Politano
EBEnrico Bertini
Enrico Bertini
Cristina Al-Khalili SzigyartoCristina Al-Khalili Szigyarto
Cristina Al-Khalili Szigyarto
Despite the recent progress in the broad‐scaled analysis of proteins in body fluids, there is still a lack in protein profiling approaches for biomarkers of rare diseases. Scarcity of samples is the main obstacle hindering attempts to apply discovery driven protein profiling in rare diseases. We addressed this challenge by combining samples collected within the BIO‐NMD consortium from four geographically dispersed clinical sites to identify protein markers associated with muscular dystrophy using an antibody bead array platform with 384 antibodies. Based on concordance in statistical significance and confirmatory results obtained from analysis of both serum and plasma, we identified eleven proteins associated with muscular dystrophy, among which four proteins were elevated in blood from muscular dystrophy patients: carbonic anhydrase III (CA3) and myosin light chain 3 (MYL3), both specifically expressed in slow‐twitch muscle fibers and mitochondrial malate dehydrogenase 2 (MDH2) and electron transfer flavoprotein A (ETFA). Using age‐matched sub‐cohorts, 9 protein profiles correlating with disease progression and severity were identified, which hold promise for the development of new clinical tools for management of dystrophinopathies.

1 March 2012 in Cell
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Journal Article
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PSPietro Spitali
Pietro Spitali
AAAnnemieke Aartsma-Rus
Annemieke Aartsma-Rus

4 December 2014 in Journal of Neurology, Neurosurgery & Psychiatry
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JBJanneke C van Den Bergen
Janneke C van Den Bergen
MHMonika Hiller
Monika Hiller
SBStefan Böhringer
Stefan Böhringer
LVLinda Vijfhuizen
Linda Vijfhuizen
HGHendrika B Ginjaar
Hendrika B Ginjaar
PSPietro Spitali
Pietro Spitali
Objective Duchenne muscular dystrophy (DMD) is characterised by progressive muscle weakness. It has recently been reported that single nucleotide polymorphisms (SNPs) located in the SPP1 and LTBP4 loci can account for some of the inter-individual variability observed in the clinical disease course. The validation of genetic association in large independent cohorts is a key process for rare diseases in order to qualify prognostic biomarkers and stratify patients in clinical trials. Methods Duchenne patients from five European neuromuscular centres were included. Information about age at wheelchair dependence and steroid use was gathered. Melting curve analysis of PCR fragments or Sanger sequencing were used to genotype SNP rs28357094 in the SPP1 gene in 336 patients. The genotype of SNPs rs2303729, rs1131620, rs1051303 and rs10880 in the LTBP4 locus was determined in 265 patients by mass spectrometry. For both loci, a multivariate analysis was performed, using genotype/haplotype, steroid use and cohort as covariates. Results We show that corticosteroid treatment and the IAAM haplotype of the LTBP4 gene are significantly associated with prolonged ambulation in patients with DMD. There was no significant association between the SNP rs28357094 in the SPP1 gene and the age of ambulation loss. Conclusions This study underlines the importance of replicating genetic association studies for rare diseases in large independent cohorts to identify the most robust associations. We anticipate that genotyping of validated genetic associations will become important for the design and interpretation of clinical trials.

2 July 2020 in Proceedings of the National Academy of Sciences
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RGRaquel García-Rodríguez
Raquel García-Rodríguez
MHMonika Hiller
Monika Hiller
LJLaura Jiménez-Gracia
Laura Jiménez-Gracia
ZPZarah van der Pal
Zarah van der Pal
JBJudit Balog
Judit Balog
PSPietro Spitali
Pietro Spitali
Significance: Duchenne muscular dystrophy is a rare disease caused by lack of dystrophin due to mutations in the DMD gene. The presence of mutations leads to a reduction of the transcript levels. In this study, we show that the transcript reduction is not caused by the cytoplasmic nonsense-mediated decay mechanism as previously thought. We demonstrate that dystrophin mRNA is primarily localized in the nuclear compartment of skeletal muscle fibers. Analysis of nascent RNA and histone marks shows that transcription is less efficient in the presence of premature termination codons. Treatment of dystrophic mice with an epigenetic drug, currently in clinical development, partially restores transcription of the locus. This work will help the development of RNA targeting therapies for Duchenne patients.