Publications by authors named "M Rita Riggio"

Feline odontoclastic resorptive lesion (FORL) is an inflammatory oral disease of unknown aetiopathogenesis that affects between 20% to 75% of cats. Twenty immune-associated molecules were measured in saliva of 25 healthy and 40 cats with FORL using a multiplex assay. No statistically significant differences were observed in the levels of these proteins between the healthy group and the diseased group of cats.

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The global clinical and socioeconomic impact of chronic wounds is substantial. The main difficulty that clinicians face during the treatment of chronic wounds is the risk of infection at the wound site. Infected wounds arise from an accumulation of microbial aggregates in the wound bed, leading to the formation of polymicrobial biofilms that can be largely resistant to antibiotic therapy.

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Article Synopsis
  • Resistance to therapy is a significant challenge in managing cancer, particularly in luminal breast cancer where hormone and CDK4/6 inhibitors often fail.
  • This study explored mechanisms of resistance using various cell lines and patient-derived cells, examining how specific kinase inhibitors affect cancer cell survival and aggressiveness.
  • The findings suggest that mTOR inhibitors are more effective than PI3K inhibitors in tackling this resistance, and combining mTOR with CDK4/6 inhibitors could enhance treatment outcomes and prevent cancer recurrence.
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Feline odontoclastic resorptive lesion (FORL) is a common chronic inflammatory condition whose aetiopathogenesis remains unclear. FORL affects 20-75% of cats and causes excruciating pain and tooth loss. The purpose of this study was to evaluate chronic inflammation in FORL by assessing differences in Toll-like receptor (TLR) and cytokine transcripts in gingival tissues between diseased and healthy cats.

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Extensive cattle livestock is advancing in Amazonia and its low productivity, with consequent pressure to open new areas, is partly due to sanitary problems and, among them, the periodontal diseases, whose environmental triggers or modifying factors are unknown. In this study, we used high-throughput sequencing, network analysis and predicted functions to investigate the dental and ruminal microbiota of cattle raised in new livestock areas in the Amazon and identify possible keystone pathogens and proteins associated with the disease. Ninety-three genera were common in dental and ruminal fluid microbiomes and among them periodontal pathogens such as and were recognized.

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