Daniela Perra
University of Cagliari
25 Papers
68 Citations
Daniela Perra is an academic researcher from University of Cagliari. The author has contributed to research in topics: Medicine & Cerebrospinal fluid. The author has an hindex of 7, co-authored 19 publications.
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Papers
Gut Microbiota and Metabolome Alterations Associated with Parkinson's Disease
Sarah Vascellari,Vanessa Palmas,Marta Melis,Silvia Pisanu,Roberto Cusano,Paolo Uva,Daniela Perra,Veronica Madau,Marianna Sarchioto,Valentina Oppo,Nicola Simola,Micaela Morelli,Maria Laura Santoru,Luigi Atzori,Maurizio Melis,Giovanni Cossu,Aldo Manzin +16 more
- 27 Oct 2020
TL;DR: The gut microbiota composition of 64 Italian patients with Parkinson’s disease and 51 controls was determined using a next-generation sequencing approach, and modified metabolites strongly correlated with the abundance of members belonging to the Lachnospiraceae family, suggesting that these gut bacteria correlate with altered metabolism rates in Parkinson's disease.
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Population-based analysis of hospitalizations in a West-European region revealed major changes in hospital utilization for patients with systemic lupus erythematosus over the period 2001-2012.
Matteo Piga,Laura Casula,Daniela Perra,Serena Sanna,Alberto Floris,A. Antonelli,Alberto Cauli,Alessandro Mathieu +7 more
TL;DR: Overall hospitalizations for SLE patients declined, those for cerebrovascular accident, acute coronary syndrome and chronic renal failure as underlying primary diagnosis increased during the study period, and the 2012 SLE prevalence in Sardinia was estimated to be 99.3 per 100,000 inhabitants.
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Development and validation of a general approach to predict and quantify the synergism of anti-cancer drugs using experimental design and artificial neural networks
Tiziana Pivetta,Francesco Isaia,Federica Trudu,Alessandra Pani,Matteo Manca,Daniela Perra,Filippo Amato,Josef Havel +7 more
TL;DR: An advanced model-free approach for data exploration and analysis, based on artificial neural networks (ANN) and experimental design is proposed to predict and quantify the synergism of drugs, providing the possibility of choosing the optimal drug combination that gives the maximum synergism.
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Olfactory swab sampling optimization for α-synuclein aggregate detection in patients with Parkinson’s disease
Matilde Bongianni,Mauro Catalan,Daniela Perra,Elena Fontana,Francesco Janes,Claudio Bertolotti,Luca Sacchetto,Stefano Capaldi,Matteo Tagliapietra,Paola Polverino,Valentina Tommasini,Giulia Bellavita,Elham Ataie Kachoie,Roberto Baruca,Andrea Bernardini,Mariarosaria Valente,Michele Fiorini,Erika Bronzato,Stefano Tamburin,Laura Bertolasi,Lorenzo Brozzetti,Maria Paola Cecchini,Gian Luigi Gigli,Salvatore Monaco,Paolo Manganotti,Gianluigi Zanusso +25 more
TL;DR: In this paper , the authors investigated whether nasal swab performed in areas with a different coverage by olfactory neuroepithelium, such as agger nasi (AN) and middle turbinate (MT), might affect the detection of pathological α-syn.
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Genetic variants of TAS2R38 bitter taste receptor associate with distinct gut microbiota traits in Parkinson's disease: A pilot study.
Sarah Vascellari,Melania Melis,Giovanni Cossu,Marta Melis,Alessandra Serra,Vanessa Palmas,Daniela Perra,Valentina Oppo,Michele Fiorini,Roberto Cusano,Micaela Morelli,Aldo Manzin,Iole Tomassini Barbarossa +12 more
TL;DR: By identifying a decrease in specific bacteria associated with a reduced sensitivity to PROP, this pilot study adds essential information that opens new avenues of research into the association of PD microbiota composition and sensory modification.
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