Matteo Cuccato
(RTDa) Research Fellows
- Department of Veterinary Sciences
- SSD: VET/07 - veterinary pharmacology and toxicology
- ORCID: orcid.org/0000-0001-8431-0695
Contacts
At
- Department of Veterinary Sciences
- Dipartimento di Scienze Veterinarie - DSV
Curriculum vitae
Curriculum Vitae
(0.4 MB) Selected research products
Cuccato M, Rubiola S, Giannuzzi D, Grego E, Pregel P, Divari S, Cannizzo FT. (2021) 16S rRNA Sequencing Analysis of the Gut Microbiota in Broiler Chickens Prophylactically Administered with Antimicrobial Agents. Antibiotics (Basel, Switzerland) 10(2) [DOI PMID]
Cuccato M, Scaglione FE, Centelleghe C, Divari S, Biolatti B, Pregel P and Cannizzo FT (2022)
Assessment of Antimicrobial Effects on Broiler Gut Barrier Through Histopathology and Immunohistochemistry of Tight-Junction Proteins. Front. Vet. Sci. 9:830073. doi: 10.3389/fvets.2022.830073
Oral communications:
Cuccato M, Divari S, Scaglione FE, Centelleghe C, Sereno A, Pregel P and Cannizzo FT (2021). Effects of different antimicrobials prophylaxis protocols on intestinal histology and microbiota composition in broiler chickens. 74th SISVET congress 2021, virtual edition 23-26 June 2021.
Cuccato M, Scaglione FE, Pregel P, Laconi A, Perona G, Nurisso S, Sereno A, Divari S, Piccirillo A, Cannizzo FT (2021). EFFETTI DELLE PROFILASSI ANTIMICROBICHE SUL MICROBIOTA INTESTINALE E SULLA BARRIERA INTESTINALE IN POLLI BROILER. VI Simposio scientifico SIPA (2021) Bologna, 19 Novembre 2021.
Research topics
PhD project: "Application of Next-Generation Sequencing (NGS) as a new approach to study antimicrobials effects in farm animals". Supervisor: professor Tiziana Francesca Cannizzo.
The main aim of this project will be to investigate the application of NGS technologies, as a useful technique to detect AM use in food-producing animals and to better understand the effects on host tissues. Decreasing cost of NGS technology and development of bioinformatic pipelines have rendered RNA-seq an affordable and user-friendly technique for whole gene expression profiling in all the species. In this context, a top-down systems biology approach to examine AMs induced changes in some tissues of farm animals will be carried out. In particular, RNA-seq will be performed on samples from broiler and dairy cattle therapeutically treated with AMs. The data obtained will permit to identify possible gene involved in host response following AMs treatment. Subsequently, we will validate the main differentially expressed genes (DEGs) by quantitative PCR or Droplet-Digital PCR.