40 results on '"Masetti, Giulia"'
Search Results
2. Neuroblastoma is associated with alterations in gut microbiome composition subsequent to maternal microbial seeding
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Valles-Colomer, Mireia, Manghi, Paolo, Cumbo, Fabio, Masetti, Giulia, Armanini, Federica, Asnicar, Francesco, Blanco-Miguez, Aitor, Pinto, Federica, Punčochář, Michal, Garaventa, Alberto, Amoroso, Loredana, Ponzoni, Mirco, Corrias, Maria Valeria, and Segata, Nicola
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- 2024
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3. The person-to-person transmission landscape of the gut and oral microbiomes
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Valles-Colomer, Mireia, Blanco-Míguez, Aitor, Manghi, Paolo, Asnicar, Francesco, Dubois, Leonard, Golzato, Davide, Armanini, Federica, Cumbo, Fabio, Huang, Kun D., Manara, Serena, Masetti, Giulia, Pinto, Federica, Piperni, Elisa, Punčochář, Michal, Ricci, Liviana, Zolfo, Moreno, Farrant, Olivia, Goncalves, Adriana, Selma-Royo, Marta, Binetti, Ana G., Becerra, Jimmy E., Han, Bei, Lusingu, John, Amuasi, John, Amoroso, Loredana, Visconti, Alessia, Steves, Claire M., Falchi, Mario, Filosi, Michele, Tett, Adrian, Last, Anna, Xu, Qian, Qin, Nan, Qin, Huanlong, May, Jürgen, Eibach, Daniel, Corrias, Maria Valeria, Ponzoni, Mirco, Pasolli, Edoardo, Spector, Tim D., Domenici, Enrico, Collado, Maria Carmen, and Segata, Nicola
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- 2023
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4. Deciphering the role of the gut microbiome in autoimmune thyroid disease
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Masetti, Giulia
- Abstract
The aetiology of hyperthyroid Graves' disease (GD) is incompletely understood. I hypothesized that the gut microbiome affects tolerance to the thyrotropin receptor (TSHR) leading to GD and associated Graves' orbitopathy (GO). My work comprises two observational studies and two interventional trials, applied to a GD/GO mouse model and GD/GO patients. I applied metataxonomics (16S rRNA gene sequencing) to samples from TSHRimmunised mice from two independent laboratories and observed significant differences in alpha-diversity, beta-diversity and taxonomic profiles. I also compared TSHR-treated and control mice in one centre and identified disease-associated taxonomies (i.e. reduced Bacteroidetes and enriched Firmicutes), correlating with orbital-adipogenesis in diseased but not controls. Changes in gut microbiota taxonomy (e.g. reduced Bacteroides/increased Roseburia spp. and increased Firmicutes:Bacteroidetes ratio) were also observed in GD (n=59) and GO (n=46) patients compared with controls (n=41), and associated with hyperthyroidism or GO severity. Moreover, GD/GO patients-predicted metagenomic pathways included increased "Bacterial epithelial invasion" and "glycosaminoglycan synthesis". The role of the gut-microbiota in TSHR-induced GD/GO was confirmed by manipulating it in early life using antibiotics which enriched Bacteroides spp. and reduced/ablated disease symptoms. The faecal material transplant from GO patients, despite showing similarities with the GO patients gut microbiota, did not exacerbate murine GO, which also remained unaffected by probiotics. In contrast, in a randomised trial, GD/GO patients receiving probiotics (in addition to anti-thyroid therapy) displayed a more stable gut microbiota composition and sustained improvement in thyroid hormone levels compared with placebo. My results illustrate significant perturbation in the gut microbiota in TSHR-induced murine GD/GO and patients with spontaneous disease. Furthermore, the similarities in differential abundance and disease-associated taxonomies noted in both species support their relevance to disease. Future studies are needed to dissect the mechanistic role of the gut microbiome in activating the immune system and determining the onset of GD/GO.
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- 2019
5. The person-to-person transmission landscape of the gut and oral microbiomes
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European Commission, National Cancer Institute (US), European Research Council, Simons Foundation, EMBO, 0000-0002-1988-6054, 0000-0001-7386-5572, 0000-0003-0846-6529, 0000-0003-3732-1468, 0000-0001-6371-528X, 0000-0002-4539-4811, 0000-0001-9450-9235, 0000-0001-6661-4046, 0000-0001-5212-1101, 0000-0002-8640-2662, 0000-0003-4144-2019, 0000-0002-5646-1004, 0000-0002-3872-347X, 0000-0002-7623-217X, 0000-0002-9128-9414, 0000-0001-8438-2322, 0000-0001-7831-8420, 0000-0002-7316-0772, 0000-0002-9795-0365, 0000-0001-7436-6919, 0000-0002-1583-5794, Valles-Colomer, Mireia, Blanco-Míguez, Aitor, Manghi, Paolo, Asnicar, Francesco, Dubois, Leonard, Golzato, Davide, Armanini, Federica, Cumbo, Fabio, Huang, Kun D., Manara, Serena, Masetti, Giulia, Pinto, Federica, Piperni, Elisa, Punčochář, Michal, Ricci, Liviana, Zolfo, Moreno, Farrant, Olivia, Goncalves, Adriana, Selma-Royo, Marta, Binetti, Ana G., Becerra, Jimmy E., Han, Bei, Lusingu, John, Amuasi, John, Amoroso, Loredana, Visconti, Alessia, Steves, Claire M., Falchi, Mario, Filosi, Michele, Tett, Adrian, Last, Anna, Xu, Qian, Qin, Nan, Qin, Huanlong, May, Jürgen, Eibach, Daniel, Corrias, Maria Valeria, Ponzoni, Mirco, Pasolli, Edoardo, Spector, Tim D., Domenici, Enrico, Collado, María Carmen, Segata, Nicola, European Commission, National Cancer Institute (US), European Research Council, Simons Foundation, EMBO, 0000-0002-1988-6054, 0000-0001-7386-5572, 0000-0003-0846-6529, 0000-0003-3732-1468, 0000-0001-6371-528X, 0000-0002-4539-4811, 0000-0001-9450-9235, 0000-0001-6661-4046, 0000-0001-5212-1101, 0000-0002-8640-2662, 0000-0003-4144-2019, 0000-0002-5646-1004, 0000-0002-3872-347X, 0000-0002-7623-217X, 0000-0002-9128-9414, 0000-0001-8438-2322, 0000-0001-7831-8420, 0000-0002-7316-0772, 0000-0002-9795-0365, 0000-0001-7436-6919, 0000-0002-1583-5794, Valles-Colomer, Mireia, Blanco-Míguez, Aitor, Manghi, Paolo, Asnicar, Francesco, Dubois, Leonard, Golzato, Davide, Armanini, Federica, Cumbo, Fabio, Huang, Kun D., Manara, Serena, Masetti, Giulia, Pinto, Federica, Piperni, Elisa, Punčochář, Michal, Ricci, Liviana, Zolfo, Moreno, Farrant, Olivia, Goncalves, Adriana, Selma-Royo, Marta, Binetti, Ana G., Becerra, Jimmy E., Han, Bei, Lusingu, John, Amuasi, John, Amoroso, Loredana, Visconti, Alessia, Steves, Claire M., Falchi, Mario, Filosi, Michele, Tett, Adrian, Last, Anna, Xu, Qian, Qin, Nan, Qin, Huanlong, May, Jürgen, Eibach, Daniel, Corrias, Maria Valeria, Ponzoni, Mirco, Pasolli, Edoardo, Spector, Tim D., Domenici, Enrico, Collado, María Carmen, and Segata, Nicola
- Abstract
The human microbiome is an integral component of the human body and a co-determinant of several health conditions1,2. However, the extent to which interpersonal relations shape the individual genetic makeup of the microbiome and its transmission within and across populations remains largely unknown3,4. Here, capitalizing on more than 9,700 human metagenomes and computational strain-level profiling, we detected extensive bacterial strain sharing across individuals (more than 10 million instances) with distinct mother-to-infant, intra-household and intra-population transmission patterns. Mother-to-infant gut microbiome transmission was considerable and stable during infancy (around 50% of the same strains among shared species (strain-sharing rate)) and remained detectable at older ages. By contrast, the transmission of the oral microbiome occurred largely horizontally and was enhanced by the duration of cohabitation. There was substantial strain sharing among cohabiting individuals, with 12% and 32% median strain-sharing rates for the gut and oral microbiomes, and time since cohabitation affected strain sharing more than age or genetics did. Bacterial strain sharing additionally recapitulated host population structures better than species-level profiles did. Finally, distinct taxa appeared as efficient spreaders across transmission modes and were associated with different predicted bacterial phenotypes linked with out-of-host survival capabilities. The extent of microorganism transmission that we describe underscores its relevance in human microbiome studies5, especially those on non-infectious, microbiome-associated diseases.
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- 2023
6. Gut Microbiome Associated With Graves Disease and Graves Orbitopathy: The INDIGO Multicenter European Study
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Biscarini, Filippo, primary, Masetti, Giulia, additional, Muller, Ilaria, additional, Verhasselt, Hedda Luise, additional, Covelli, Danila, additional, Colucci, Giuseppe, additional, Zhang, Lei, additional, Draman, Mohd Shazli, additional, Okosieme, Onyebuchi, additional, Taylor, Pete, additional, Daumerie, Chantal, additional, Burlacu, Maria-Cristina, additional, Marinò, Michele, additional, Ezra, Daniel George, additional, Perros, Petros, additional, Plummer, Sue, additional, Eckstein, Anja, additional, Salvi, Mario, additional, Marchesi, Julian R, additional, and Ludgate, Marian, additional
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- 2023
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7. Combining micro-RNA and protein sequencing to detect robust biomarkers for Graves’ disease and orbitopathy
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Zhang, Lei, Masetti, Giulia, Colucci, Giuseppe, Salvi, Mario, Covelli, Danila, Eckstein, Anja, Kaiser, Ulrike, Draman, Mohd Shazli, Muller, Ilaria, Ludgate, Marian, Lucini, Luigi, and Biscarini, Filippo
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- 2018
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8. Gut microbiota in experimental murine model of Graves’ orbitopathy established in different environments may modulate clinical presentation of disease
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Masetti, Giulia, Moshkelgosha, Sajad, Köhling, Hedda-Luise, Covelli, Danila, Banga, Jasvinder Paul, Berchner-Pfannschmidt, Utta, Horstmann, Mareike, Diaz-Cano, Salvador, Goertz, Gina-Eva, Plummer, Sue, Eckstein, Anja, Ludgate, Marian, Biscarini, Filippo, Marchesi, Julian Roberto, and the INDIGO consortium
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- 2018
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9. The Impact of Probiotic Supplementation on Cognitive, Pathological and Metabolic Markers in a Transgenic Mouse Model of Alzheimer’s Disease
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Webberley, Thomas S., primary, Masetti, Giulia, additional, Bevan, Ryan J., additional, Kerry-Smith, Joshua, additional, Jack, Alison A., additional, Michael, Daryn R., additional, Thomas, Sophie, additional, Glymenaki, Maria, additional, Li, Jia, additional, McDonald, Julie A. K., additional, John, Daniel, additional, Morgan, James E., additional, Marchesi, Julian R., additional, Good, Mark A., additional, Plummer, Sue F., additional, and Hughes, Timothy R., additional
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- 2022
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10. The Impact of Probiotic Supplementation on Cognitive, Pathological and Metabolic Markers in a Transgenic Mouse Model of Alzheimer's Disease
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Webberley, Thomas S., Masetti, Giulia, Bevan, Ryan J., Kerry-Smith, Joshua, Jack, Alison A., Michael, Daryn R., Thomas, Sophie, Glymenaki, Maria, Li, Jia, McDonald, Julie A. K., John, Daniel, Morgan, James E., Marchesi, Julian R., Good, Mark A., Plummer, Sue F., and Hughes, Timothy R.
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General Neuroscience - Abstract
Brain degenerative disorders such as Alzheimer’s disease (AD) can be exacerbated by aberrant metabolism. Supplementation with probiotic bacteria is emerging as a promising preventative strategy for both neurodegeneration and metabolic syndrome. In this study, we assess the impact of the Lab4b probiotic consortium on (i) cognitive and pathological markers of AD progression and (ii) metabolic status in 3xTg-AD mice subjected to metabolic challenge with a high fat diet. The group receiving the probiotic performed better in the novel object recognition test and displayed higher hippocampal neuronal spine density than the control group at the end of the 12 weeks intervention period. These changes were accompanied by differences in localised (brain) and systemic anti-inflammatory responses that favoured the Probiotic group together with the prevention of diet induced weight gain and hypercholesterolaemia and the modulation of liver function. Compositional differences between the faecal microbiotas of the study groups included a lower Firmicutes:Bacteroidetes ratio and less numbers of viable yeast in the Probiotic group compared to the Control. The results illustrate the potential of the Lab4b probiotic as a neuroprotective agent and encourage further studies with human participants.
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- 2021
11. The Impact of Lab4 Probiotic Supplementation in a 90-Day Study in Wistar Rats
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Webberley, Thomas S., primary, Masetti, Giulia, additional, Baker, Laura M., additional, Dally, Jordanna, additional, Hughes, Timothy R., additional, Marchesi, Julian R., additional, Jack, Alison A., additional, Plummer, Sue F., additional, Ramanathan, Guru, additional, Facey, Paul D., additional, and Michael, Daryn R., additional
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- 2021
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12. Commensal Bifidobacterium Strains Enhance the Efficacy of Neo-Epitope Based Cancer Vaccines
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Tomasi, Michele, primary, Dalsass, Mattia, additional, Beghini, Francesco, additional, Zanella, Ilaria, additional, Caproni, Elena, additional, Fantappiè, Laura, additional, Gagliardi, Assunta, additional, Irene, Carmela, additional, König, Enrico, additional, Frattini, Luca, additional, Masetti, Giulia, additional, Isaac, Samine Jessica, additional, Armanini, Federica, additional, Cumbo, Fabio, additional, Blanco-Míguez, Aitor, additional, Grandi, Alberto, additional, Segata, Nicola, additional, and Grandi, Guido, additional
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- 2021
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13. Additional file 5 of Modulating gut microbiota in a mouse model of Graves’ orbitopathy and its impact on induced disease
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Sajad Moshkelgosha, Verhasselt, Hedda Luise, Masetti, Giulia, Covelli, Danila, Biscarini, Filippo, Horstmann, Mareike, Daser, Anke, Westendorf, Astrid M., Jesenek, Christoph, Philipp, Svenja, Diaz-Cano, Salvador, J. Paul Banga, Daryn Michael, Plummer, Sue, Marchesi, Julian R., Eckstein, Anja, Ludgate, Marian, and Berchner-Pfannschmidt, Utta
- Abstract
Additional file 4: Figure S3. Heatmap of the differentially abundant genera amongst treatments in βgal mice. Median abundances were scaled according to row Z-score. Only genera with P < 0.5 are represented.
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- 2021
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14. Additional file 4 of Modulating gut microbiota in a mouse model of Graves’ orbitopathy and its impact on induced disease
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Sajad Moshkelgosha, Verhasselt, Hedda Luise, Masetti, Giulia, Covelli, Danila, Biscarini, Filippo, Horstmann, Mareike, Daser, Anke, Westendorf, Astrid M., Jesenek, Christoph, Philipp, Svenja, Diaz-Cano, Salvador, J. Paul Banga, Daryn Michael, Plummer, Sue, Marchesi, Julian R., Eckstein, Anja, Ludgate, Marian, and Berchner-Pfannschmidt, Utta
- Abstract
Additional file 3: Figure S2. Heatmap of the differentially abundant genera amongst treatments in TSHR-immunized mice. Median abundances were scaled according to row Z-score. Only genera with P < 0.5 are represented.
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- 2021
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15. Additional file 2 of Modulating gut microbiota in a mouse model of Graves’ orbitopathy and its impact on induced disease
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Sajad Moshkelgosha, Verhasselt, Hedda Luise, Masetti, Giulia, Covelli, Danila, Biscarini, Filippo, Horstmann, Mareike, Daser, Anke, Westendorf, Astrid M., Jesenek, Christoph, Philipp, Svenja, Diaz-Cano, Salvador, J. Paul Banga, Daryn Michael, Plummer, Sue, Marchesi, Julian R., Eckstein, Anja, Ludgate, Marian, and Berchner-Pfannschmidt, Utta
- Abstract
Additional file 1: Supplementary methods. Table S1. Characteristics of patients with sight-threatening GO recruited at the University Hospital Duisburg-Essen providing samples for hFMT production.
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- 2021
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16. Modulating gut microbiota in a mouse model of Graves’ orbitopathy and its impact on induced disease
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Moshkelgosha, Sajad, Verhasselt, Hedda Luise, Masetti, Giulia, Covelli, Danila, Biscarini, Filippo, Horstmann, Mareike, Daser, Anke, Westendorf, Astrid, Jesenek, Christoph, Philipp, Svenja, Diaz-Cano, Salvador, Banga, J. Paul, Michael, Daryn, Plummer, Sue, Marchesi, Julian R., Eckstein, Anja, Ludgate, Marian, Berchner-Pfannschmidt, Utta, Zhang, Lei, Salvi, Mario, Garaiova, Iveta, and Colucci, Giuseppe
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endocrine system diseases ,Graves' disease ,Lymphocyte ,Medizin ,Gut flora ,Microbiome modulation ,Graves' orbitopathy ,Mice ,0302 clinical medicine ,1108 Medical Microbiology ,IL-2 receptor ,0303 health sciences ,Mice, Inbred BALB C ,Thyroid ,Fecal Microbiota Transplantation ,medicine.anatomical_structure ,Graves' diseaseGraves' orbitopathy ,lcsh:QR100-130 ,INDIGO consortium ,Female ,0605 Microbiology ,Microbiology (medical) ,medicine.medical_specialty ,endocrine system ,030209 endocrinology & metabolism ,Gut microbiota ,Biology ,Microbiology ,lcsh:Microbial ecology ,Thyrotropin receptor ,03 medical and health sciences ,Vancomycin ,Internal medicine ,medicine ,Animals ,Humans ,Human fecal microbiota transplant ,030304 developmental biology ,0602 Ecology ,Research ,Graves’ orbitopathy ,Probiotics ,Autoantibody ,Akkermansia ,medicine.disease ,biology.organism_classification ,eye diseases ,Gastrointestinal Microbiome ,Graves Ophthalmopathy ,Disease Models, Animal ,Endocrinology ,Murine model ,Graves’ disease - Abstract
Background Graves’ disease (GD) is an autoimmune condition in which autoantibodies to the thyrotropin receptor (TSHR) cause hyperthyroidism. About 50% of GD patients also have Graves’ orbitopathy (GO), an intractable disease in which expansion of the orbital contents causes diplopia, proptosis and even blindness. Murine models of GD/GO, developed in different centres, demonstrated significant variation in gut microbiota composition which correlated with TSHR-induced disease heterogeneity. To investigate whether correlation indicates causation, we modified the gut microbiota to determine whether it has a role in thyroid autoimmunity. Female BALB/c mice were treated with either vancomycin, probiotic bacteria, human fecal material transfer (hFMT) from patients with severe GO or ddH2O from birth to immunization with TSHR-A subunit or beta-galactosidase (βgal; age ~ 6 weeks). Incidence and severity of GD (TSHR autoantibodies, thyroid histology, thyroxine level) and GO (orbital fat and muscle histology), lymphocyte phenotype, cytokine profile and gut microbiota were analysed at sacrifice (~ 22 weeks). Results In ddH2O-TSHR mice, 84% had pathological autoantibodies, 67% elevated thyroxine, 77% hyperplastic thyroids and 70% orbital pathology. Firmicutes were increased, and Bacteroidetes reduced relative to ddH2O-βgal; CCL5 was increased. The random forest algorithm at the genus level predicted vancomycin treatment with 100% accuracy but 74% and 70% for hFMT and probiotic, respectively. Vancomycin significantly reduced gut microbiota richness and diversity compared with all other groups; the incidence and severity of both GD and GO also decreased; reduced orbital pathology correlated positively with Akkermansia spp. whilst IL-4 levels increased. Mice receiving hFMT initially inherited their GO donors’ microbiota, and the severity of induced GD increased, as did the orbital brown adipose tissue volume in TSHR mice. Furthermore, genus Bacteroides, which is reduced in GD patients, was significantly increased by vancomycin but reduced in hFMT-treated mice. Probiotic treatment significantly increased CD25+ Treg cells in orbital draining lymph nodes but exacerbated induced autoimmune hyperthyroidism and GO. Conclusions These results strongly support a role for the gut microbiota in TSHR-induced disease. Whilst changes to the gut microbiota have a profound effect on quantifiable GD endocrine and immune factors, the impact on GO cellular changes is more nuanced. The findings have translational potential for novel, improved treatments.
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- 2021
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17. Additional file 12 of Modulating gut microbiota in a mouse model of Graves’ orbitopathy and its impact on induced disease
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Sajad Moshkelgosha, Verhasselt, Hedda Luise, Masetti, Giulia, Covelli, Danila, Biscarini, Filippo, Horstmann, Mareike, Daser, Anke, Westendorf, Astrid M., Jesenek, Christoph, Philipp, Svenja, Diaz-Cano, Salvador, J. Paul Banga, Daryn Michael, Plummer, Sue, Marchesi, Julian R., Eckstein, Anja, Ludgate, Marian, and Berchner-Pfannschmidt, Utta
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endocrine system ,endocrine system diseases - Abstract
Additional file 11: Table S2. Number of positive mice for each disease parameter. Numbers of TSHR-immunized mice positive for thyroid-stimulating antibodies (TSAbs), increased circulating thyroxine (T4), hyperplastic thyroid morphology, orbital brown fat (BAT) enlargement or muscle fiber atrophy are reported. The threshold for positivity was defined as upper 99% CI of the corresponding βgal groups. Table S3. Classification of total outcome of autoimmune hyperthyroidism and orbitopathy. Disease classification was done along the Z-Score values in Figure 8. The number of mice is given in %. Subclinical disease (Z-Score 0): These mice displayed clear signs of autoimmune hyperthyroidism and/or orbital pathology. Clinical disease is classified in mild and moderate/severe in accordance with the Z Score values as indicated (mild: Z Score 01; moderate/severe: Z-Score >1).
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- 2021
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18. Additional file 3 of Modulating gut microbiota in a mouse model of Graves’ orbitopathy and its impact on induced disease
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Sajad Moshkelgosha, Verhasselt, Hedda Luise, Masetti, Giulia, Covelli, Danila, Biscarini, Filippo, Horstmann, Mareike, Daser, Anke, Westendorf, Astrid M., Jesenek, Christoph, Philipp, Svenja, Diaz-Cano, Salvador, J. Paul Banga, Daryn Michael, Plummer, Sue, Marchesi, Julian R., Eckstein, Anja, Ludgate, Marian, and Berchner-Pfannschmidt, Utta
- Abstract
Additional file 2: Figure S1. Supplementary results for the endpoint gut microbiota analysis. (A and B) Microbiota composition according to different anatomical samples in TSHR and βgal-immunized mice (samples/source: colon = 48, entire = 30, small = 51 from final timepoint and stool = 105 from baseline and mid-timepoint). (A) Alpha-diversity indices of the source of the microbiota sampled, Wilcoxon-Mann BH corrected test: ***P < 0.05. (B) NMDS of Bray-Curtis distances according to immunizations and sources at the endpoint. PERMANOVA between entire-colon samples P > 0.05. (C and D) Endpoint composition of the LGI microbiota amongst treatments in βgal-immunized mice. (n βgal mice/treatment at endpoint: control = 8, hFMT = 8, Lab4 = 10, vancomycin = 19). (C) Alpha diversity amongst treatments, Wilcoxon-Mann BH corrected test:***P < 0.001. (D to G) RandomForest of a model excluding vancomycin samples (n mice/treatment endpoint: control = 20, hFMT = 19, Lab4 = 20). (D) Confusion matrix for treatments w/o vancomycin samples. Diagonal boxes represent the number of samples correctly predicted. (E) Top-10 variables of treatment classification according to the Mean Decrease Gini, including the microbiota source as an effect related to figure E. (F) Confusion matrix for immunizations in a model w/o vancomycin samples. (n mice/immunization endpoint: TSHR = 33 and βgal = 26). (G) Top-10 variables of immunizations classification according to the Mean Decrease Gini, including the microbiota source and treatments as an effect related to figure G. Wilcoxon-Mann test with BH correction: ***P < 0.005; **P < 0.01; *P < 0.05.
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- 2021
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19. Additional file 9 of Modulating gut microbiota in a mouse model of Graves’ orbitopathy and its impact on induced disease
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Sajad Moshkelgosha, Verhasselt, Hedda Luise, Masetti, Giulia, Covelli, Danila, Biscarini, Filippo, Horstmann, Mareike, Daser, Anke, Westendorf, Astrid M., Jesenek, Christoph, Philipp, Svenja, Diaz-Cano, Salvador, J. Paul Banga, Daryn Michael, Plummer, Sue, Marchesi, Julian R., Eckstein, Anja, Ludgate, Marian, and Berchner-Pfannschmidt, Utta
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genetic structures ,sense organs ,eye diseases - Abstract
Additional file 8: Figure S7. Mice eye signs and orbital tissues abnormalities analysed histologically. (A) Mice eye signs indicating orbital disease. Representative images of a ßgal mouse lacking pathological eye signs and of a TSHR-immunized mouse with acute signs of inflammation and/or proptosis. (B) UCP-1 (uncoupling protein -1) as a marker for brown fat tissue (BAT). Elevated portions of small vacuoled BAT were present in TSHR-immunized mice. Representative pictures of stainings are shown. (C, D) CD3 as a marker for T cells. Some CD3+ T cells (indicated by arrows) were detected in adipose tissues (C) and in muscle tissues (D) of βgal and TSHR-immunized mice. Immunohistochemistry of orbital tissues was carried out as described in detail before [40]
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- 2021
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20. Probiotics reduce self-reported symptoms of upper respiratory tract infection in overweight and obese adults: should we be considering probiotics during viral pandemics?
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Mullish, Benjamin H., primary, Marchesi, Julian R., additional, McDonald, Julie A.K., additional, Pass, Daniel A., additional, Masetti, Giulia, additional, Michael, Daryn R., additional, Plummer, Sue, additional, Jack, Alison A., additional, Davies, Thomas S., additional, Hughes, Timothy R., additional, and Wang, Duolao, additional
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- 2021
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21. Microbiome and Graves’ Orbitopathy
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Masetti, Giulia, primary and Ludgate, Marian, additional
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- 2020
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22. Use of Information Sources on Vaccine-Preventable Diseases in Pregnant Women: An Experience in Ferrara, Italy
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Gabutti, Giovanni, primary, Carioli, Umberto, additional, Gamberoni, Diego, additional, Masetti, Giulia, additional, Matteo, Giulio, additional, Perrone, Paola, additional, Cappadona, Rosaria, additional, Greco, Pantaleo, additional, Siliquini, Roberta, additional, and Stefanati, Armando, additional
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- 2019
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23. Identifying Ferrara’s elderly people with low influenza immunization rates: the contribution of a local socio-economic deprivation index.
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Stefanati, Armando, Lupi, Silvia, Lillini, Roberto, Matteo, Giulio, Perrone, Paola, Masetti, Giulia, Brosio, Federica, Ferretti, Stefano, Gabutti, Giovanni, Stefanati, Armando, Lupi, Silvia, Lillini, Roberto, Matteo, Giulio, Perrone, Paola, Masetti, Giulia, Brosio, Federica, Ferretti, Stefano, and Gabutti, Giovanni
- Abstract
Influenza immunization coverage rates remains far below the optimal value recommended by World Health Organization, even in groups considered more at risk, as elderly. A possible explanation of lacking compliance to vaccine uptake can rely on deprivation. A local deprivation index, specifically developed, was proposed for the classification of the residents in Ferrara’s municipality in order to evaluate the characteristics of over 65 people accepting/refusing the influenza immunization (2010-2015). The variables involved in the Ferrara’s deprivation index were primarily related to demographic aspects like age, being widow/widower, education, composition of the family and characteristics of the house. In groups with higher deprivation, elderly were more frequent (53.4% in very deprived). Influenza immunization coverage rates were unsatisfactory in all categories of deprivation. A decreasing trend in coverage rates with decreasing deprivation was observed with statistical significance, in general population and in males but not in females. In addition to factors composing the local deprivation index, being separated, living in a family of three members and working as independent contractor were features preventing from the immunization in very deprived elderly.
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- 2019
24. A novel nonlive, adjuvanted herpes zoster subunit vaccine: a report on the emerging clinical data and safety profile
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Brosio,Federica, Masetti,Giulia, Matteo,Giulio, Stefanati,Armando, and Gabutti,Giovanni
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Infection and Drug Resistance - Abstract
Federica Brosio,1 Giulia Masetti,1 Giulio Matteo,1 Armando Stefanati,2 Giovanni Gabutti2 1Postgraduate School of Hygiene and Preventive Medicine, Department of Medical Sciences, University of Ferrara, Ferrara, Italy; 2Department of Medical Sciences, University of Ferrara, Ferrara, Italy Abstract: Herpes zoster (HZ) is an acute vesicular dermatitis with a typical dermatomal distribution, caused by the varicella zoster virus (VZV), often preceded and accompanied by prodromal pain or pruritus. HZ may be related to several complications such as postherpetic neuralgia (PHN). The incidence and severity of the disease increase with aging, due to immunosenescence and in particular to the decline of the specific cell-mediated immunity (CMI). The impact of HZ in terms of morbidity and short- and long-term complications, the availability of suboptimal treatment options to date, and the high costs for the diagnostic and clinical-therapeutic management of patients have motivated the search for a new preventive approach through the development of a vaccine. The vaccine currently in use with live-attenuated virus (ZVL) has been shown to be effective in reducing the incidence of HZ, its impact, and the onset of PHN, although the efficacy is lower in older subjects and tends to decrease some years after immunization. A new adjuvanted recombinant subunit vaccine (HZ/su), containing the VZV glycoprotein E (gE) and the AS01B adjuvant system, is now a very promising alternative to ZVL; in several clinical studies, it showed a good safety profile and was able to elicit high immune humoral and cell-mediated responses, both maintained up to 9years. Furthermore, HZ/su vaccine was effective both in preventing HZ and in reducing the onset of PHN and other complications. HZ/su has been recommended and preferred over ZVL by the Advisory Committee on Immunization Practices (ACIP) for the prevention of HZ and its complications in immunocompetent adults aged ≥50years, even if already vaccinated with ZVL, through a two-dose schedule. HZ/su has been approved in Canada, USA, Europe, and Japan and is currently being approved in Australia. The aim of this review was to describe the epidemiological data, HZ and PHN risks and their impact on the social life and common life of infected people, and ZVL and HZ/su vaccine development including various clinical trials and efficacy, safety, and tolerability profiles. Keywords: herpes zoster, adjuvanted recombinant herpes zoster subunit vaccine, live-attenuated herpes zoster vaccine
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- 2018
25. Additional file 5: of Gut microbiota in experimental murine model of Graves’ orbitopathy established in different environments may modulate clinical presentation of disease
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Masetti, Giulia, Sajad Moshkelgosha, Hedda-Luise Köhling, Covelli, Danila, Banga, Jasvinder, Berchner-Pfannschmidt, Utta, Horstmann, Mareike, Diaz-Cano, Salvador, Gina-Eva Goertz, Plummer, Sue, Eckstein, Anja, Ludgate, Marian, Biscarini, Filippo, and Marchesi, Julian Roberto
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animal diseases ,bacteria ,chemical and pharmacologic phenomena ,biochemical phenomena, metabolism, and nutrition - Abstract
Figure S1. Temporal stability of fecal microbiota and cage effect of the immunizations. Weighted Unifrac distances of mice fecal microbial communities represented over the time course of the experiment according to the immunization (A) or the cage (B). Permutational MANOVA of weighted Unifrac distances according to timepoint, immunizations, caging, and their interactions (time × cage; time × immunization; immunization × cage) as described in Additional file 2. The time had a significant effect on the stability of the fecal microbiota (P = 0.001), in particular between the baseline (T0) and the last timepoint (T4, P = 0.003); and between the T1 and T4 (P = 0.009). The interaction between time and immunization was significant (P = 0.007). Cage was also significant, in particular the interaction cage × timepoint (P = 0.001) and cage × immunization (P = 0.002). Significant differences within the same immunization group cage has been observed (TSHR group in C4 and C5, P = 0.01). (PDF 152 kb)
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- 2018
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26. Additional file 7: of Gut microbiota in experimental murine model of Graves’ orbitopathy established in different environments may modulate clinical presentation of disease
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Masetti, Giulia, Sajad Moshkelgosha, Hedda-Luise Köhling, Covelli, Danila, Banga, Jasvinder, Berchner-Pfannschmidt, Utta, Horstmann, Mareike, Diaz-Cano, Salvador, Gina-Eva Goertz, Plummer, Sue, Eckstein, Anja, Ludgate, Marian, Biscarini, Filippo, and Marchesi, Julian Roberto
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endocrine system - Abstract
Figure S1. Bifidobacterium counts derived from the 28F-combo primers in the TSHR-immunized mice in Center 1 (n = 5) and Center 2 (n = 10). ANOVA with Tukey’s HSD post hoc analysis (95% confidence interval), P value = 0.003 generated with STAMP. (PDF 21 kb)
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- 2018
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27. Additional file 2: of Gut microbiota in experimental murine model of Graves’ orbitopathy established in different environments may modulate clinical presentation of disease
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Masetti, Giulia, Sajad Moshkelgosha, Hedda-Luise Köhling, Covelli, Danila, Banga, Jasvinder, Berchner-Pfannschmidt, Utta, Horstmann, Mareike, Diaz-Cano, Salvador, Gina-Eva Goertz, Plummer, Sue, Eckstein, Anja, Ludgate, Marian, Biscarini, Filippo, and Marchesi, Julian Roberto
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Supplementary methods. (DOCX 121 kb)
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- 2018
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28. Rumen microbiome in dairy calves fed copper and grape-pomace dietary supplementations: Composition and predicted functional profile
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Loor, Juan J, Biscarini, Filippo, Palazzo, Fiorentina, Castellani, Federica, Masetti, Giulia, Grotta, Lisa, Cichelli, Angelo, and Martino, Giuseppe
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0301 basic medicine ,microbiome ,Pathology and Laboratory Medicine ,metataxonomics ,Biochemistry ,Clostridium ,RNA, Ribosomal, 16S ,Ruminococcus ,Medicine and Health Sciences ,Eubacterium ,Vitis ,Food science ,16S rRNA-gene sequencing ,2. Zero hunger ,rumen ,Multidisciplinary ,biology ,Microbiota ,food and beverages ,Genomics ,Bacterial Pathogens ,Nucleic acids ,Ribosomal RNA ,Medical Microbiology ,Medicine ,Composition (visual arts) ,Metabolic Pathways ,Pathogens ,Research Article ,Cell biology ,Cellular structures and organelles ,animal structures ,Science ,Microbial Genomics ,Microbiology ,03 medical and health sciences ,Rumen ,Genetics ,Animals ,Microbiome ,Non-coding RNA ,Microbial Pathogens ,Dairy cattle ,Nutrition ,Bacteria ,Gut Bacteria ,Pomace ,Organisms ,Biology and Life Sciences ,biology.organism_classification ,Archaea ,Animal Feed ,Diet ,030104 developmental biology ,Metabolism ,cattle ,Dietary Supplements ,RNA ,Metagenomics ,Ribosomes ,Copper - Abstract
The rumen microbiome is fundamental for the productivity and health of dairy cattle and diet is known to influence the rumen microbiota composition. In this study, grape-pomace, a natural source of polyphenols, and copper sulfate were provided as feed supplementation in 15 Holstein-Friesian calves, including 5 controls. After 75 days of supplementation, genomic DNA was extracted from the rumen liquor and prepared for 16S rRNA-gene sequencing to characterize the composition of the rumen microbiota. From this, the rumen metagenome was predicted to obtain the associated gene functions and metabolic pathways in a cost-effective manner. Results showed that feed supplementations did alter the rumen microbiome of calves. Copper and grape-pomace increased the diversity of the rumen microbiota: the Shannon's and Fisher's alpha indices were significantly different across groups (p-values 0.045 and 0.039), and Bray-Curtis distances could separate grape-pomace calves from the other two groups. Differentially abundant taxa were identified: in particular, an uncultured Bacteroidales UCG-001 genus and OTUs from genus Sarcina were the most differentially abundant in pomace-supplemented calves compared to controls (p-values 0.003 and 0.0002, respectively). Enriched taxonomies such as Ruminiclostridium and Eubacterium sp., whose functions are related to degradation of the grape- pomace constituents (e.g. flavonoids or xyloglucan) have been described (p-values 0.027/0.028 and 0.040/0.022 in Pomace vs Copper and Controls, respectively). The most abundant predicted metagenomic genes belonged to the arginine and proline metabolism and the two- component (sensor/ responder) regulatory system, which were increased in the supplemented groups. Interestingly, the lipopolysaccharide biosynthetic pathway was decreased in the two supplemented groups, possibly as a result of antimicrobial effects. Methanogenic taxa also responded to the feed supplementation, and methane metabolism in the rumen was the second most different pathway (up-regulated by feed supplementations) between experimental groups.
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- 2018
29. Additional file 6: of Gut microbiota in experimental murine model of Graves’ orbitopathy established in different environments may modulate clinical presentation of disease
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Masetti, Giulia, Sajad Moshkelgosha, Hedda-Luise Köhling, Covelli, Danila, Banga, Jasvinder, Berchner-Pfannschmidt, Utta, Horstmann, Mareike, Diaz-Cano, Salvador, Gina-Eva Goertz, Plummer, Sue, Eckstein, Anja, Ludgate, Marian, Biscarini, Filippo, and Marchesi, Julian Roberto
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endocrine system ,bacteria ,chemical and pharmacologic phenomena ,biochemical phenomena, metabolism, and nutrition ,eye diseases - Abstract
Figure S1. NMDS plot based on the weighted Unifrac distances of Center2 immune and control mice including TSHR-immunized mice from Center 1. TSHR-immunized mice from Center 1 were more similar to TSHR-immunized mice from Center 2 (P = 0.2) than to the βgal (P = 0.024) than the untreated (P = 0.04). (PDF 28 kb)
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- 2018
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30. Epidemiologia della tubercolosi nell’Azienda USL di Ferrara: l’esperienza del Dispensario Funzionale
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De Togni, A., Califano, A., Matteo, Giulio, Perrone, Paola, Masetti, Giulia, Gamberoni, Diego, Martellucci, Cecilia, Stefanati, A., and Gabutti, G.
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Socio-culturale - Published
- 2018
31. Identifying Ferrara’s elderly people with low influenza immunization rates: the contribution of a local socio-economic deprivation index
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Stefanati, Armando, Lupi, Silvia, Lillini, Roberto, Matteo, Giulio, Perrone, Paola, Masetti, Giulia, Brosio, Federica, Ferretti, Stefano, and Gabutti, Giovanni
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Male ,Vaccination Coverage ,Immunization Programs ,Patient Acceptance of Health Care ,Elderly, Influenza, Immunization, Deprivation index ,Deprivation index ,Influenza ,NO ,Elderly ,Italy ,Socioeconomic Factors ,elderly ,influenza ,immunization ,deprivation index ,Influenza, Human ,Humans ,Original Article ,Female ,Immunization ,Poverty ,Aged - Abstract
Influenza immunization coverage rates remains far below the optimal value recommended by World Health Organization, even in groups considered more at risk, as elderly. A possible explanation of lacking compliance to vaccine uptake can rely on deprivation. A local deprivation index, specifically developed, was proposed for the classification of the residents in Ferrara’s municipality in order to evaluate the characteristics of over 65 people accepting/refusing the influenza immunization (2010-2015). The variables involved in the Ferrara’s deprivation index were primarily related to demographic aspects like age, being widow/widower, education, composition of the family and characteristics of the house. In groups with higher deprivation, elderly were more frequent (53.4% in very deprived). Influenza immunization coverage rates were unsatisfactory in all categories of deprivation. A decreasing trend in coverage rates with decreasing deprivation was observed with statistical significance, in general population and in males but not in females. In addition to factors composing the local deprivation index, being separated, living in a family of three members and working as independent contractor were features preventing from the immunization in very deprived elderly., Journal of Preventive Medicine and Hygiene, Vol 59, No 4s2 (2018): Influenza vaccination coverage in the elderly and socio-economic inequalities in Italy. How local deprivation indices can help to improve the prevention of influenza in specific population sub-groups. - Suppl.2
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- 2018
32. Additional file 1: of Gut microbiota in experimental murine model of Graves’ orbitopathy established in different environments may modulate clinical presentation of disease
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Masetti, Giulia, Sajad Moshkelgosha, Hedda-Luise Köhling, Covelli, Danila, Banga, Jasvinder, Berchner-Pfannschmidt, Utta, Horstmann, Mareike, Diaz-Cano, Salvador, Gina-Eva Goertz, Plummer, Sue, Eckstein, Anja, Ludgate, Marian, Biscarini, Filippo, and Marchesi, Julian Roberto
- Abstract
Figure S1. Schematic representation of the GO immunization protocol and sample collection. Table S1. Summary of disease characteristics induced in mice in Center 1 and Center 2 using TSHR expression plasmid illustrating the heterogeneity of response. Table S2. Quarterly Health Screen Reports on viral, bacterial, mycoplasma and parasite screen in both centers. Table S3. Composition of the commercial chows provided ad libitum in Center 1 and Center 2. (DOCX 106 kb)
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- 2018
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33. Rumen microbiome in dairy calves fed copper and grape-pomace dietary supplementations: Composition and predicted functional profile
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Biscarini, Filippo, primary, Palazzo, Fiorentina, additional, Castellani, Federica, additional, Masetti, Giulia, additional, Grotta, Lisa, additional, Cichelli, Angelo, additional, and Martino, Giuseppe, additional
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- 2018
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34. Use of Information Sources on Vaccine-Preventable Diseases in Pregnant Women: An Experience in Ferrara, Italy.
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Gabutti, Giovanni, Carioli, Umberto, Gamberoni, Diego, Masetti, Giulia, Matteo, Giulio, Perrone, Paola, Cappadona, Rosaria, Greco, Pantaleo, Siliquini, Roberta, and Stefanati, Armando
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- 2020
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35. Deciphering the role of the gut microbiome in autoimmune thyroid disease
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Masetti, Giulia and Masetti, Giulia
- Abstract
The aetiology of hyperthyroid Graves’ disease (GD) is incompletely understood. I hypothesized that the gut microbiome affects tolerance to the thyrotropin receptor (TSHR) leading to GD and associated Graves’ orbitopathy (GO). My work comprises two observational studies and two interventional trials, applied to a GD/GO mouse model and GD/GO patients. I applied metataxonomics (16S rRNA gene sequencing) to samples from TSHRimmunised mice from two independent laboratories and observed significant differences in alpha-diversity, beta-diversity and taxonomic profiles. I also compared TSHR-treated and control mice in one centre and identified disease-associated taxonomies (i.e. reduced Bacteroidetes and enriched Firmicutes), correlating with orbital-adipogenesis in diseased but not controls. Changes in gut microbiota taxonomy (e.g. reduced Bacteroides/increased Roseburia spp. and increased Firmicutes:Bacteroidetes ratio) were also observed in GD (n=59) and GO (n=46) patients compared with controls (n=41), and associated with hyperthyroidism or GO severity. Moreover, GD/GO patients-predicted metagenomic pathways included increased “Bacterial epithelial invasion” and “glycosaminoglycan synthesis”. The role of the gut-microbiota in TSHR-induced GD/GO was confirmed by manipulating it in early life using antibiotics which enriched Bacteroides spp. and reduced/ablated disease symptoms. The faecal material transplant from GO patients, despite showing similarities with the GO patients gut microbiota, did not exacerbate murine GO, which also remained unaffected by probiotics. In contrast, in a randomised trial, GD/GO patients receiving probiotics (in addition to anti-thyroid therapy) displayed a more stable gut microbiota composition and sustained improvement in thyroid hormone levels compared with placebo. My results illustrate significant perturbation in the gut microbiota in TSHR-induced murine GD/GO and patients with spontaneous disease. Furthermore, the similarities in differe
36. Immune reaction to food antigens in Graves' disease (GD) patients: role of gliadin and other food antigens
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Covelli, Danila, Colucci, Giuseppe, Salvi, Mario, Kaiser, Ulrike, Eckstein, Anja, Burlacu, Maria Cristina, Daumerie, Chantal, Richell, Gez, Perros, Petros, Draman, Mohd, Ludgate, Marian Elizabeth, Masetti, Giulia, Biscarini, Filippo, Covelli, Danila, Colucci, Giuseppe, Salvi, Mario, Kaiser, Ulrike, Eckstein, Anja, Burlacu, Maria Cristina, Daumerie, Chantal, Richell, Gez, Perros, Petros, Draman, Mohd, Ludgate, Marian Elizabeth, Masetti, Giulia, and Biscarini, Filippo
- Abstract
As known, an imbalance of the gut microbiota is associated with a higher risk for autoimmune diseases. Moreover the increased rates of autoimmunity reported in urban residential areas worldwide suggest a possible influence of diet. We report on the antibody response to food antigens in GD patients. Since 10% of celiac patients develop an autoimmune thyreopathy we focused on gliadin (DGP), transglutaminases (tTG) and 40 other food antigens (FA). Commercially available ELISA assays were performed according to the manufacturer’s instructions. 105 and 108 sera from 5 European endocrine centres have been tested for IgG and IgA to tTG and DGP. Results have been compared to epidemiological data. 71 sera have also been tested for IgG to FA and compared to 25 healthy controls. 6 out of 105 sera (5.7%) showed positive tTG; 16 and 7 out of 108 (15 and 6.5%) positive DGP-IgA and IgG, respectively; a higher prevalence compared to the worldwide prevalence of celiac disease (1%) (chi-squared test; p-value < 0.001). Prevalence of smokers and ocular involvement was not higher in patients with positive sera compared to negative. 23 out of 71 (32.3%) GD sera showed sensitivity against a food antigens, compared to 25% (6 out of 24) positive results among healthy controls (chi-squared test; P-value=0.4). Interestingly, some antigens (cow’s milk, egg white, wheat, yeast) are more frequently positive than others. The distribution of antibodies against TSH receptor (TRAb) values was not different in positive or negative sera. In conclusion, the prevalence of positive tTG antibodies is higher in GD patients than worldwide. Even though autoantibodies to DGP and tTG were equally distributed between all 5 centres we observed the highest percentage of positive responses to other food antigens in Cardiff, suggesting that diet may contribute to the increased sensitivity. More studies are needed to confirm these data.
37. Deciphering the role of the gut microbiome in autoimmune thyroid disease
- Author
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Masetti, Giulia and Masetti, Giulia
- Abstract
The aetiology of hyperthyroid Graves’ disease (GD) is incompletely understood. I hypothesized that the gut microbiome affects tolerance to the thyrotropin receptor (TSHR) leading to GD and associated Graves’ orbitopathy (GO). My work comprises two observational studies and two interventional trials, applied to a GD/GO mouse model and GD/GO patients. I applied metataxonomics (16S rRNA gene sequencing) to samples from TSHRimmunised mice from two independent laboratories and observed significant differences in alpha-diversity, beta-diversity and taxonomic profiles. I also compared TSHR-treated and control mice in one centre and identified disease-associated taxonomies (i.e. reduced Bacteroidetes and enriched Firmicutes), correlating with orbital-adipogenesis in diseased but not controls. Changes in gut microbiota taxonomy (e.g. reduced Bacteroides/increased Roseburia spp. and increased Firmicutes:Bacteroidetes ratio) were also observed in GD (n=59) and GO (n=46) patients compared with controls (n=41), and associated with hyperthyroidism or GO severity. Moreover, GD/GO patients-predicted metagenomic pathways included increased “Bacterial epithelial invasion” and “glycosaminoglycan synthesis”. The role of the gut-microbiota in TSHR-induced GD/GO was confirmed by manipulating it in early life using antibiotics which enriched Bacteroides spp. and reduced/ablated disease symptoms. The faecal material transplant from GO patients, despite showing similarities with the GO patients gut microbiota, did not exacerbate murine GO, which also remained unaffected by probiotics. In contrast, in a randomised trial, GD/GO patients receiving probiotics (in addition to anti-thyroid therapy) displayed a more stable gut microbiota composition and sustained improvement in thyroid hormone levels compared with placebo. My results illustrate significant perturbation in the gut microbiota in TSHR-induced murine GD/GO and patients with spontaneous disease. Furthermore, the similarities in differe
38. The person-to-person transmission landscape of the gut and oral microbiomes
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Mireia Valles-Colomer, Aitor Blanco-Míguez, Paolo Manghi, Francesco Asnicar, Leonard Dubois, Davide Golzato, Federica Armanini, Fabio Cumbo, Kun D. Huang, Serena Manara, Giulia Masetti, Federica Pinto, Elisa Piperni, Michal Punčochář, Liviana Ricci, Moreno Zolfo, Olivia Farrant, Adriana Goncalves, Marta Selma-Royo, Ana G. Binetti, Jimmy E. Becerra, Bei Han, John Lusingu, John Amuasi, Loredana Amoroso, Alessia Visconti, Claire M. Steves, Mario Falchi, Michele Filosi, Adrian Tett, Anna Last, Qian Xu, Nan Qin, Huanlong Qin, Jürgen May, Daniel Eibach, Maria Valeria Corrias, Mirco Ponzoni, Edoardo Pasolli, Tim D. Spector, Enrico Domenici, Maria Carmen Collado, Nicola Segata, Valles-Colomer, Mireia, Blanco-Míguez, Aitor, Manghi, Paolo, Asnicar, Francesco, Dubois, Leonard, Golzato, Davide, Armanini, Federica, Cumbo, Fabio, Huang, Kun D, Manara, Serena, Masetti, Giulia, Pinto, Federica, Piperni, Elisa, Punčochář, Michal, Ricci, Liviana, Zolfo, Moreno, Farrant, Olivia, Goncalves, Adriana, Selma-Royo, Marta, Binetti, Ana G, Becerra, Jimmy E, Han, Bei, Lusingu, John, Amuasi, John, Amoroso, Loredana, Visconti, Alessia, Steves, Claire M, Falchi, Mario, Filosi, Michele, Tett, Adrian, Last, Anna, Xu, Qian, Qin, Nan, Qin, Huanlong, May, Jürgen, Eibach, Daniel, Corrias, Maria Valeria, Ponzoni, Mirco, Pasolli, Edoardo, Spector, Tim D, Domenici, Enrico, Collado, Maria Carmen, Segata, Nicola, European Commission, National Cancer Institute (US), European Research Council, Simons Foundation, and EMBO
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Multidisciplinary ,Health ,Metagenomes ,Transmission ,Interpersonal relations ,Human microbiome - Abstract
The human microbiome is an integral component of the human body and a co-determinant of several health conditions1,2. However, the extent to which interpersonal relations shape the individual genetic makeup of the microbiome and its transmission within and across populations remains largely unknown3,4. Here, capitalizing on more than 9,700 human metagenomes and computational strain-level profiling, we detected extensive bacterial strain sharing across individuals (more than 10 million instances) with distinct mother-to-infant, intra-household and intra-population transmission patterns. Mother-to-infant gut microbiome transmission was considerable and stable during infancy (around 50% of the same strains among shared species (strain-sharing rate)) and remained detectable at older ages. By contrast, the transmission of the oral microbiome occurred largely horizontally and was enhanced by the duration of cohabitation. There was substantial strain sharing among cohabiting individuals, with 12% and 32% median strain-sharing rates for the gut and oral microbiomes, and time since cohabitation affected strain sharing more than age or genetics did. Bacterial strain sharing additionally recapitulated host population structures better than species-level profiles did. Finally, distinct taxa appeared as efficient spreaders across transmission modes and were associated with different predicted bacterial phenotypes linked with out-of-host survival capabilities. The extent of microorganism transmission that we describe underscores its relevance in human microbiome studies5, especially those on non-infectious, microbiome-associated diseases., This work was supported by the European Research Council (ERC-STG project MetaPG-716575 and ERC-CoG microTOUCH-101045015) to N.S. and by EMBO ALTF 593–2020 to M.V.-C. The work was also partially supported by MIUR ‘Futuro in Ricerca’ (grant no. RBFR13EWWI_001) to N.S., by the European H2020 programme (ONCOBIOME-825410 project, MASTER-818368 project, and IHMCSA-964590) to N.S., by the National Cancer Institute of the National Institutes of Health (1U01CA230551) to N.S., by the Premio Internazionale Lombardia e Ricerca 2019 to N.S., by the Simons Foundation (award ID 648614) to E.D. and N.S., and by the European Research Council (ERC-STG project Mami-639226) to M.C.C
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- 2023
39. Prevotella diversity, niches and interactions with the human host
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Giulia Masetti, Nicola Segata, Adrian Tett, Danilo Ercolini, Edoardo Pasolli, Tett, Adrian, Pasolli, Edoardo, Masetti, Giulia, Ercolini, Danilo, and Segata, Nicola
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Epidemiology ,Prevotella ,Zoology ,Context (language use) ,Disease ,Microbiology ,Autoimmune Diseases ,Microbial ecology ,03 medical and health sciences ,Ecological relationship ,stomatognathic system ,Bacteroidaceae Infections ,otorhinolaryngologic diseases ,Humans ,Microbiome ,Phylogeny ,Ecological niche ,0303 health sciences ,Metagenomics ,Phylogenomics ,General Immunology and Microbiology ,biology ,030306 microbiology ,Host (biology) ,Microbiota ,Human microbiome ,Genetic Variation ,biology.organism_classification ,stomatognathic diseases ,Infectious Diseases - Abstract
The genus Prevotella includes more than 50 characterized species that occur in varied natural habitats, although most Prevotella spp. are associated with humans. In the human microbiome, Prevotella spp. are highly abundant in various body sites, where they are key players in the balance between health and disease. Host factors related to diet, lifestyle and geography are fundamental in affecting the diversity and prevalence of Prevotella species and strains in the human microbiome. These factors, along with the ecological relationship of Prevotella with other members of the microbiome, likely determine the extent of the contribution of Prevotella to human metabolism and health. Here we review the diversity, prevalence and potential connection of Prevotella spp. in the human host, highlighting how genomic methods and analysis have improved and should further help in framing their ecological role. We also provide suggestions for future research to improve understanding of the possible functions of Prevotella spp. and the effects of the Western lifestyle and diet on the host–Prevotella symbiotic relationship in the context of maintaining human health. Prevotella is a genus of bacteria that commonly associate with humans, in various body sites. In this Review, Segata, Ercolini and colleagues discuss Prevotella diversity and the evidence for the involvement of these bacteria in human health and disease.
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40. Modulating gut microbiota in a mouse model of Graves' orbitopathy and its impact on induced disease.
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Moshkelgosha S, Verhasselt HL, Masetti G, Covelli D, Biscarini F, Horstmann M, Daser A, Westendorf AM, Jesenek C, Philipp S, Diaz-Cano S, Banga JP, Michael D, Plummer S, Marchesi JR, Eckstein A, Ludgate M, and Berchner-Pfannschmidt U
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- Animals, Disease Models, Animal, Fecal Microbiota Transplantation, Female, Graves Ophthalmopathy immunology, Graves Ophthalmopathy metabolism, Graves Ophthalmopathy pathology, Humans, Mice, Mice, Inbred BALB C, Gastrointestinal Microbiome, Graves Ophthalmopathy microbiology
- Abstract
Background: Graves' disease (GD) is an autoimmune condition in which autoantibodies to the thyrotropin receptor (TSHR) cause hyperthyroidism. About 50% of GD patients also have Graves' orbitopathy (GO), an intractable disease in which expansion of the orbital contents causes diplopia, proptosis and even blindness. Murine models of GD/GO, developed in different centres, demonstrated significant variation in gut microbiota composition which correlated with TSHR-induced disease heterogeneity. To investigate whether correlation indicates causation, we modified the gut microbiota to determine whether it has a role in thyroid autoimmunity. Female BALB/c mice were treated with either vancomycin, probiotic bacteria, human fecal material transfer (hFMT) from patients with severe GO or ddH2O from birth to immunization with TSHR-A subunit or beta-galactosidase (βgal; age ~ 6 weeks). Incidence and severity of GD (TSHR autoantibodies, thyroid histology, thyroxine level) and GO (orbital fat and muscle histology), lymphocyte phenotype, cytokine profile and gut microbiota were analysed at sacrifice (~ 22 weeks)., Results: In ddH2O-TSHR mice, 84% had pathological autoantibodies, 67% elevated thyroxine, 77% hyperplastic thyroids and 70% orbital pathology. Firmicutes were increased, and Bacteroidetes reduced relative to ddH2O-βgal; CCL5 was increased. The random forest algorithm at the genus level predicted vancomycin treatment with 100% accuracy but 74% and 70% for hFMT and probiotic, respectively. Vancomycin significantly reduced gut microbiota richness and diversity compared with all other groups; the incidence and severity of both GD and GO also decreased; reduced orbital pathology correlated positively with Akkermansia spp. whilst IL-4 levels increased. Mice receiving hFMT initially inherited their GO donors' microbiota, and the severity of induced GD increased, as did the orbital brown adipose tissue volume in TSHR mice. Furthermore, genus Bacteroides, which is reduced in GD patients, was significantly increased by vancomycin but reduced in hFMT-treated mice. Probiotic treatment significantly increased CD25
+ Treg cells in orbital draining lymph nodes but exacerbated induced autoimmune hyperthyroidism and GO., Conclusions: These results strongly support a role for the gut microbiota in TSHR-induced disease. Whilst changes to the gut microbiota have a profound effect on quantifiable GD endocrine and immune factors, the impact on GO cellular changes is more nuanced. The findings have translational potential for novel, improved treatments. Video abstract.- Published
- 2021
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