Project description:Transcriptome analysis of oral tissue samples taken from peri-implantitis and healthy control patients Peri-implantitis is a condition resulting in destructive inflammation in the peri-implant soft tissue barrier. Clinically, it demonstrates vast clinical differences to periodontitis that suggests distinct inflammatory mechanisms. Implant-derived Titanium particles (i-TiPs) frequently found around diseased implants appear to alter the microenvironment and confer resistance to antibiotic treatments. Studies in orthopedic implants have demonstrated a strong inflammatory response to i-TiPs, involving a variety of cell types, in aseptic conditions. Nonetheless, the genetic programs of cells surveilling and supporting the peri-implant soft tissue barrier in response to the combined challenges of biomaterial degradation products and oral bacteria are poorly defined. Thus, we studied gene expression specific to oral peri-implant inflammatory disease. We found that certain cellular pathways were highly upregulated in diseased tissues. Upregulated pathways provided insight into important physiological pathways that might play a role in peri-implant pathology. These findings could potentially contribute to the production of more targeted and effective therapeutics for the disease.
2021-06-17 | GSE178351 | GEO
Project description:mapping of Pseudomonas aeruginosa genome isolated from orthopedic implant infection
Project description:Osteolysis is a serious postoperative complication of total joint arthroplasty that leads to aseptic loosening and surgical revision. Osteolysis is a chronic destructive process occurs when host macrophages recognize the implant particles and release inflammatory mediators that increase bone-resorbing osteoclastic activity and attenuate bone-formation osteoblastic activity. Although much progress has been made on understanding molecular responses of macrophage to implant particles, pathways/signals initiating osteolysis remain poorly characterized. Transcriptomics and gene-expression profiling of these macrophages may unravel key mechanism in pathogenesis of osteolysis and aid in identifying molecular candidates for therapeutic intervention. To this end, we analyzed the transcriptional profiling of macrophages exposed to UHMWPE particles of the most common components used in bearing materials of orthopedic implants. Regulated genes in stimulated macrophages were involved in cytokine, chemokine, growth factor and receptor activities. Gene enrichment analysis suggested that stimulated macrophages elicited common gene expression signatures for inflammation and rheumatoid arthritis. Among the regulated genes, TNFSF15 and CCL20 were further characterized as molecular targets involved pathogenesis of osteolysis. Treatment of monocyte cultures with TNFSF15 and CCL20 resulted in an increase in osteoclastogenesis and bone-resorbing osteoclastic activity, suggesting their potential contribution to loosening between implant and bone tissue.
Project description:Capsular contracture (CC) is one of the most common post-operative complication associated with breast-implant associated infections. The mechanisms that lead to CC remain poorly understood. Plasma is an ideal biospecimen for early proteomics biomarker discovery. However, as higher-abundant proteins mask signals from low-abundance proteins, the identification of novel or specific proteins as biomarkers for a particular disease has been hampered. Here, we employed depletion of high-abundance plasma proteins followed by Tandem Mass Tag (TMT)-based quantitative proteomics to compare 10 healthy control patients against 10 breast implant CC patients. A total of 450 proteins were identified from these samples, 43 of which were significantly (p < 0.05) identified in this study. Among them 16 proteins were significantly differentially expressed in which 5 proteins were upregulated and 11 downregulated in breast implant CC patients compared to healthy controls. GO enrichment analysis revealed that proteins related to cell, cellular processes and catalytic activity were highest in the cellular component, biological process, and molecular function categories, respectively. Further, pathway analysis revealed that inflammatory responses, focal adhesion, platelet activation, complement and coagulation cascades were enriched pathways. The differentially expressed proteins from TMT-based quantitative proteomics has the potential to provide important information for future mechanistic studies and in the development of breast implant CC biomarkers
Project description:Fusarium spp. are fungal pathogens of humans and plants. Fusarium oxysporum and Fusarium solani are important species isolated from infections such as onychomycosis, fungal keratitis, invasive infections, and disseminated diseases. These pathologies have a very difficult therapeutic management and poor therapeutic responses, especially in patients with disseminated infection. Little information is available regarding the molecular mechanisms responsible for antifungal resistance in these fungi. methods: In this study, we performed a quantitative analysis of the transcriptional profile of F. oxysporum and F. solani, challenged with amphotericin B (AMB) and posaconazole (PSC) using RNA-seq. Quantitative real-time reverse transcription PCR (qRT-PCR) was used to validate the results results: Several genes related to mechanisms of antifungal resistance such as efflux pumps, ergosterol pathway synthesis, and responses to oxidative stress were found. Genes such as ERG11, ERG5, the Major Facilitator Superfamily (MFS), thioredoxin, and different dehydrogenase genes may explain the reduced susceptibility of Fusarium spp. against azoles and the possible mechanisms that may play an important role in induced resistance against polyenes. conclusions: Important differences in the levels of transcriptional expression were found between F. oxysporum and F. solani exposed to the two different antifungal treatments. Knowledge on the gene expression profiles and gene regulatory networks in Fusarium spp. during exposure to antifungal compounds, may help to identify possible molecular targets for the development of novel, better, and more specific therapeutic compounds. profile transcriptional of Fusarium spp changed to antifungal treatments in vitro