Daniele Capitanio

Prof. Daniele Capitanio

University of Milan, Department of Biomedical Sciences for Health
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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2 October 2006 in Proteomics
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Journal Article
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BCBarbara Celegato
Barbara Celegato
DCDaniele Capitanio
Daniele Capitanio
MPMario Pescatori
Mario Pescatori
CRChiara Romualdi
Chiara Romualdi
BPBeniamina Pacchioni
Beniamina Pacchioni
Cecilia GelfiCecilia Gelfi
Cecilia Gelfi

28 January 2020 in Journal of Cachexia, Sarcopenia and Muscle
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Journal Article
Open access
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DCDaniele Capitanio
Daniele Capitanio
MMManuela Moriggi
Manuela Moriggi
ETEnrica Torretta
Enrica Torretta
PBPietro Barbacini
Pietro Barbacini
SPSara De Palma
Sara De Palma
Cecilia GelfiCecilia Gelfi
Cecilia Gelfi
Background: Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) are characterized by muscle wasting leading to loss of ambulation in the first or third decade, respectively. In DMD, the lack of dystrophin hampers connections between intracellular cytoskeleton and cell membrane leading to repeated cycles of necrosis and regeneration associated with inflammation and loss of muscle ordered structure. BMD has a similar muscle phenotype but milder. Here, we address the question whether proteins at variance in BMD compared with DMD contribute to the milder phenotype in BMD, thus identifying a specific signature to be targeted for DMD treatment.Methods: Proteins extracted from skeletal muscle from DMD/BMD patients and young healthy subjects were either reduced and solubilized prior two‐dimensional difference in gel electrophoresis/mass spectrometry differential analysis or tryptic digested prior label‐free liquid chromatography with tandem mass spectrometry. Statistical analyses of proteins and peptides were performed by DeCyder and Perseus software and protein validation and verification by immunoblotting.Results: Proteomic results indicate minor changes in the extracellular matrix (ECM) protein composition in BMD muscles with retention of mechanotransduction signalling, reduced changes in cytoskeletal and contractile proteins. Conversely, in DMD patients, increased levels of several ECM cytoskeletal and contractile proteins were observed whereas some proteins of fast fibres and of Z‐disc decreased. Detyrosinated alpha‐tubulin was unchanged in BMD and increased in DMD although neuronal nitric oxide synthase was unchanged in BMD and greatly reduced in DMD. Metabolically, the tissue is characterized by a decrement of anaerobic metabolism both in DMD and BMD compared with controls, with increased levels of the glycogen metabolic pathway in BMD. Oxidative metabolism is severely compromised in DMD with impairment of malate shuttle; conversely, it is active in BMD supporting the tricarboxylic acid cycle and respiratory chain. Adipogenesis characterizes DMD, whereas proteins involved in fatty acids beta‐oxidation are increased in BMD. Proteins involved in protein/amino acid metabolism, cell development, calcium handling, endoplasmic reticulum/sarcoplasmic reticulum stress response, and inflammation/immune response were increased in DMD. Both disorders are characterized by the impairment of N‐linked protein glycosylation in the endoplasmic reticulum. Authophagy was decreased in DMD whereas it was retained in BMD.Conclusions: The mechanosensing and metabolic disruption are central nodes of DMD/BMD phenotypes. The ECM proteome composition and the metabolic rewiring in BMD lead to preservation of energy levels supporting autophagy and cell renewal, thus promoting the retention of muscle function. Conversely, DMD patients are characterized by extracellular and cytoskeletal protein dysregulation and by metabolic restriction at the level of α‐ketoglutarate leading to shortage of glutamate‐derived molecules that over time triggers lipogenesis and lipotoxicity.

7 November 2008 in Proteomics
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Journal Article
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AVAgnese Viganò
Agnese Viganò
MRMarilena Ripamonti
Marilena Ripamonti
SPSara De Palma
Sara De Palma
DCDaniele Capitanio
Daniele Capitanio
MVMichele Vasso
Michele Vasso
Cecilia GelfiCecilia Gelfi
Cecilia Gelfi

23 August 2010 in Proteomics
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Journal Article
Closed access
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MMManuela Moriggi
Manuela Moriggi
MVMichele Vasso
Michele Vasso
CFChiara Fania
Chiara Fania
DCDaniele Capitanio
Daniele Capitanio
GBGaetano Bonifacio
Gaetano Bonifacio
Cecilia GelfiCecilia Gelfi
Cecilia Gelfi

Verified
Journal Article
Open access
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ETEnrica Torretta
Enrica Torretta
MGMicaela Garziano
Micaela Garziano
MPmariacristina poliseno
mariacristina poliseno
DCDaniele Capitanio
Daniele Capitanio
Mara BiasinMara Biasin
Mara Biasin
Cecilia GelfiCecilia Gelfi
Cecilia Gelfi
The reason behind the high inter-individual variability in response to SARS-CoV-2 infection and patient’s outcome is poorly understood. The present study targets the sphingolipid profile of twenty-four healthy controls and fifty-nine COVID-19 patients with different disease severity. Sera were analyzed by untargeted and targeted mass spectrometry and ELISA. Results indicated a progressive increase in dihydrosphingosine, dihydroceramides, ceramides, sphingosine, and a decrease in sphingosine-1-phosphate. These changes are associated with a serine palmitoyltransferase long chain base subunit 1 (SPTLC1) increase in relation to COVID-19 severity. Severe patients showed a decrease in sphingomyelins and a high level of acid sphingomyelinase (aSMase) that influences monosialodihexosyl ganglioside (GM3) C16:0 levels. Critical patients are characterized by high levels of dihydrosphingosine and dihydroceramide but not of glycosphingolipids. In severe and critical patients, unbalanced lipid metabolism induces lipid raft remodeling, leads to cell apoptosis and immunoescape, suggesting active sphingolipid participation in viral infection. Furthermore, results indicated that the sphingolipid and glycosphingolipid metabolic rewiring promoted by aSMase and GM3 is age-dependent but also characteristic of severe and critical patients influencing prognosis and increasing viral load. AUCs calculated from ROC curves indicated ceramides C16:0, C18:0, C24:1, sphingosine and SPTLC1 as putative biomarkers of disease evolution.

30 March 2009 in Proteomics
Verified
Journal Article
Closed access
PDF file
DCDaniele Capitanio
Daniele Capitanio
MVMichele Vasso
Michele Vasso
CFChiara Fania
Chiara Fania
MMManuela Moriggi
Manuela Moriggi
AVAgnese Viganò
Agnese Viganò
Cecilia GelfiCecilia Gelfi
Cecilia Gelfi