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Träfflista för sökning "WFRF:(Al Khalili Szigyarto Cristina) ;pers:(Spitali Pietro)"

Sökning: WFRF:(Al Khalili Szigyarto Cristina) > Spitali Pietro

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1.
  • Ayoglu, Burcu, et al. (författare)
  • Affinity proteomics within rare diseases : a BIO-NMD study for blood biomarkers of muscular dystrophies
  • 2014
  • Ingår i: EMBO Molecular Medicine. - : EMBO. - 1757-4676 .- 1757-4684. ; 6:7, s. 918-936
  • Tidskriftsartikel (refereegranskat)abstract
    • 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 flavo-protein 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.
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2.
  • Johansson, Camilla, et al. (författare)
  • Identification of Gene-Therapy Responsive Blood Biomarkers for Duchenne Muscular Dystrophy
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • IntroductionAssessing muscle dystrophin expression systemically is important for understanding the effect of dystrophin-restoring therapies in Duchenne muscular dystrophy (DMD). Many potential blood biomarkers have been identified in DMD patients which are either more or less abundant in blood samples compared to healthy individuals and that have been shown to change with disease progression or respond to pharmacological treatment. In this study, it was suggested that a panel of such blood biomarker candidates could be used to monitor dystrophin rescue in microdystrophin therapies.  MethodsPlasma samples from mdx mice treated with the microdystrophin therapy SGT-001 were analysed with an antibody suspension bead array consisting of 87 antibodies targeting 83 proteins previously identified as biomarker candidates for DMD. Each sample was assayed at two different plasma dilutions to cover a broader concentration range. Median fluorescent intensities (MFI) for each antibody were correlated to dystrophin expression in muscle tissue, as measured by immunohistochemistry and Western blot. 13 targets were selected and validated in a DMD and Becker muscular dystrophy (BMD) longitudinal natural history cohort using a suspension bead array.  Results10 proteins were found significantly elevated in untreated mdx mice compared to C57 wild-type mice and 10 were found to correlate with dystrophin expression (Spearman’s correlation, FDR < 0.05) upon gene transfer. Abundance of TTN, ADSSL1, LONP1, OTUD5, MYL3 as well as DMD protein were associated with dystrophin expression in BMD patients. Of these, MYL3 and ADSSL1 had different abundance in DMD compared to healthy individuals, and MYL3 also displayed different age trajectories between DMD and BMD patients.  DiscussionThe ten proteins identified in mouse plasma are related to muscle contraction (ADSSL1, ASAH1, CA3, MYL3, TTN), microtubule formation (TPI1), and protein degradation (PSMA2, OTUD4, LONP1). Of these, MYL3 and ADSSL1 showed the most promise as a dystrophin monitoring biomarker in patient samples.
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3.
  • Johansson, Camilla, et al. (författare)
  • Monitoring Biomarker Study in Becker Muscular Dystrophy using Data Independent Acquisition LC-MS/MS
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • Becker muscular dystrophy (BMD) is a rare and heterogenous form of dystrophinopathy caused by reduced expression of altered dystrophin protein. Gene therapies and exon-skipping therapies for the more severe form of dystrophinopathy, Duchenne muscular dystrophy (DMD), assumes that by promoting partial dystrophin expression in DMD patients, their disease progression could be reduced. Several studies have identified potential progression biomarkers for DMD and hypothesised in their usefulness in monitoring pharmacodynamic response in gene-therapy clinical trials. However, knowledge of progression changes of blood proteome in BMD is lacking. In this study, we aimed at exploring differences in proteomic changes between DMD and BMD in a prospective longitudinal 4-year study as well as explore what proteins relate to functional performance in BMD patients. Serum from 48 BMD patients and 19 DMD patients were analysed using Data Independent Acquisition Tandem Mass Spectrometry (DIA-MS). Linear mixed effects models identified 17 proteins with altered longitudinal signatures between DMD and BMD, among these CKM, PKM and ALDOA. Furthermore, bikunin (product of AMBP gene), C3 and IGHG2 were found related to functional performance in BMD patients. 
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4.
  • Johansson, Camilla, 1993-, et al. (författare)
  • Orthogonal proteomics methods warrant the development of Duchenne muscular dystrophy biomarkers
  • 2023
  • Ingår i: Clinical Proteomics. - : Springer Nature. - 1542-6416 .- 1559-0275. ; 20:1
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundMolecular components in blood, such as proteins, are used as biomarkers to detect or predict disease states, guide clinical interventions and aid in the development of therapies. While multiplexing proteomics methods promote discovery of such biomarkers, their translation to clinical use is difficult due to the lack of substantial evidence regarding their reliability as quantifiable indicators of disease state or outcome. To overcome this challenge, a novel orthogonal strategy was developed and used to assess the reliability of biomarkers and analytically corroborate already identified serum biomarkers for Duchenne muscular dystrophy (DMD). DMD is a monogenic incurable disease characterized by progressive muscle damage that currently lacks reliable and specific disease monitoring tools.MethodsTwo technological platforms are used to detect and quantify the biomarkers in 72 longitudinally collected serum samples from DMD patients at 3 to 5 timepoints. Quantification of the biomarkers is achieved by detection of the same biomarker fragment either through interaction with validated antibodies in immuno-assays or through quantification of peptides by Parallel Reaction Monitoring Mass Spectrometry assay (PRM-MS).ResultsFive, out of ten biomarkers previously identified by affinity-based proteomics methods, were confirmed to be associated with DMD using the mass spectrometry-based method. Two biomarkers, carbonic anhydrase III and lactate dehydrogenase B, were quantified with two independent methods, sandwich immunoassays and PRM-MS, with Pearson correlations of 0.92 and 0.946 respectively. The median concentrations of CA3 and LDHB in DMD patients was elevated in comparison to those in healthy individuals by 35- and 3-fold, respectively. Levels of CA3 vary between 10.26 and 0.36 ng/ml in DMD patients whereas those of LDHB vary between 15.1 and 0.8 ng/ml.ConclusionsThese results demonstrate that orthogonal assays can be used to assess the analytical reliability of biomarker quantification assays, providing a means to facilitate the translation of biomarkers to clinical practice. This strategy also warrants the development of the most relevant biomarkers, markers that can be reliably quantified with different proteomics methods.
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5.
  • Previtali, Stefano C., et al. (författare)
  • Rimeporide as a first- in-class NHE-1 inhibitor : Results of a phase Ib trial in young patients with Duchenne Muscular Dystrophy
  • 2020
  • Ingår i: Pharmacological Research. - : Elsevier BV. - 1043-6618 .- 1096-1186. ; 159
  • Tidskriftsartikel (refereegranskat)abstract
    • Rimeporide, a first-in-class sodium/proton exchanger Type 1 inhibitor (NHE-1 inhibitor) is repositioned by EspeRare for patients with Duchenne Muscular Dystrophy (DMD). Historically, NHE-1 inhibitors were developed for cardiac therapeutic interventions. There is considerable overlap in the pathophysiological mechanisms in Congestive Heart Failure (CHF) and in cardiomyopathy in DMD, therefore NHE-1 inhibition could be a promising pharmacological approach to the cardiac dysfunctions observed in DMD. Extensive preclinical data was collected in various animal models including dystrophin-deficient (mdx) mice to characterise Rimeporide's anti-fibrotic and anti-inflammatory properties and there is evidence that NHE-1 inhibitors could play a significant role in modifying DMD cardiac and also skeletal pathologies, as the NHE-1 isoform is ubiquitous. We report here the first study with Rimeporide in DMD patients. This 4-week treatment, open label phase Ib, multiple oral ascending dose study, enrolled 20 ambulant boys with DMD (6-11 years), with outcomes including safety, pharmacokinetic (PK) and pharmacodynamic (PD) biomarkers. Rimeporide was safe and well-tolerated at all doses. PK evaluations showed that Rimeporide was well absorbed orally reaching pharmacological concentrations from the lowest dose, with exposure increasing linearly with dose and with no evidence of accumulation upon repeated dosing. Exploratory PD biomarkers showed positive effect upon a 4-week treatment, supporting its therapeutic potential in patients with DMD, primarily as a cardioprotective treatment, and provide rationale for further efficacy studies.
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6.
  • Signorelli, Mirko, et al. (författare)
  • Longitudinal serum biomarker screening identifies malate dehydrogenase 2 as candidate prognostic biomarker for Duchenne muscular dystrophy
  • 2020
  • Ingår i: Journal of Cachexia, Sarcopenia and Muscle. - : Wiley. - 2190-5991 .- 2190-6009. ; 11:2, s. 505-517
  • Tidskriftsartikel (refereegranskat)abstract
    • AbstractBackgroundDuchenne muscular dystrophy (DMD) is a fatal disease for which no cure is available. Clinical trials have shown to be largely underpowered due to inter‐individual variability and noisy outcome measures. The availability of biomarkers able to anticipate clinical benefit is highly needed to improve clinical trial design and facilitate drug development.MethodsIn this study, we aimed to appraise the value of protein biomarkers to predict prognosis and monitor disease progression or treatment outcome in patients affected by DMD. We collected clinical data and 303 blood samples from 157 DMD patients in three clinical centres; 78 patients contributed multiple blood samples over time, with a median follow‐up time of 2 years. We employed linear mixed models to identify biomarkers that are associated with disease progression, wheelchair dependency, and treatment with corticosteroids and performed survival analysis to find biomarkers whose levels are associated with time to loss of ambulation.ResultsOur analysis led to the identification of 21 proteins whose levels significantly decrease with age and nine proteins whose levels significantly increase. Seven of these proteins are also differentially expressed in non‐ambulant patients, and three proteins are differentially expressed in patients treated with glucocorticosteroids. Treatment with corticosteroids was found to partly counteract the effect of disease progression on two biomarkers, namely, malate dehydrogenase 2 (MDH2, P = 0.0003) and ankyrin repeat domain 2 (P = 0.0005); however, patients treated with corticosteroids experienced a further reduction on collagen 1 serum levels (P = 0.0003), especially following administration of deflazacort. A time to event analysis allowed to further support the use of MDH2 as a prognostic biomarker as it was associated with an increased risk of wheelchair dependence (P = 0.0003). The obtained data support the prospective evaluation of the identified biomarkers in natural history and clinical trials as exploratory biomarkers.
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7.
  • Spitali, Pietro, et al. (författare)
  • Tracking disease progression non-invasively in Duchenne and Becker muscular dystrophies
  • 2018
  • Ingår i: Journal of Cachexia, Sarcopenia and Muscle. - : Wiley-VCH Verlagsgesellschaft. - 2190-5991 .- 2190-6009. ; 9:4, s. 715-726
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Analysis of muscle biopsies allowed to characterize the pathophysiological changes of Duchenne and Becker muscular dystrophies (D/BMD) leading to the clinical phenotype. Muscle tissue is often investigated during interventional dose finding studies to show in situ proof of concept and pharmacodynamics effect of the tested drug. Less invasive readouts are needed to objectively monitor patients' health status, muscle quality, and response to treatment. The identification of serum biomarkers correlating with clinical function and able to anticipate functional scales is particularly needed for personalized patient management and to support drug development programs. Methods A large-scale proteomic approach was used to identify serum biomarkers describing pathophysiological changes (e.g. loss of muscle mass), association with clinical function, prediction of disease milestones, association with in vivo(31)P magnetic resonance spectroscopy data and dystrophin levels in muscles. Cross-sectional comparisons were performed to compare DMD patients, BMD patients, and healthy controls. A group of DMD patients was followed up for a median of 4.4years to allow monitoring of individual disease trajectories based on yearly visits. Results Cross-sectional comparison enabled to identify 10 proteins discriminating between healthy controls, DMD and BMD patients. Several proteins (285) were able to separate DMD from healthy, while 121 proteins differentiated between BMD and DMD; only 13 proteins separated BMD and healthy individuals. The concentration of specific proteins in serum was significantly associated with patients' performance (e.g. BMP6 serum levels and elbow flexion) or dystrophin levels (e.g. TIMP2) in BMD patients. Analysis of longitudinal trajectories allowed to identify 427 proteins affected over time indicating loss of muscle mass, replacement of muscle by adipose tissue, and cardiac involvement. Over-representation analysis of longitudinal data allowed to highlight proteins that could be used as pharmacodynamic biomarkers for drugs currently in clinical development. Conclusions Serum proteomic analysis allowed to not only discriminate among DMD, BMD, and healthy subjects, but it enabled to detect significant associations with clinical function, dystrophin levels, and disease progression.
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8.
  • Szigyarto, Cristina Al-Khalili, et al. (författare)
  • Biomarkers of Duchenne muscular dystrophy : current findings
  • 2018
  • Ingår i: Degenerative Neurological and Neuromuscular Disease. - : Dove Medical Press. - 1179-9900. ; 8, s. 1-13
  • Forskningsöversikt (refereegranskat)abstract
    • Numerous biomarkers have been unveiled in the rapidly evolving biomarker discovery field, with an aim to improve the clinical management of disorders. In rare diseases, such as Duchenne muscular dystrophy, this endeavor has created a wealth of knowledge that, if effectively exploited, will benefit affected individuals, with respect to health care, therapy, improved quality of life and increased life expectancy. The most promising findings and molecular biomarkers are inspected in this review, with an aim to provide an overview of currently known biomarkers and the technological developments used. Biomarkers as cells, genetic variations, miRNAs, proteins, lipids and/or metabolites indicative of disease severity, progression and treatment response have the potential to improve development and approval of therapies, clinical management of DMD and patients' life quality. We highlight the complexity of translating research results to clinical use, emphasizing the need for biomarkers, fit for purpose and describe the challenges associated with qualifying biomarkers for clinical applications.
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