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Van Dyke, T.

Publications and source records attributed to Van Dyke, T..

2 recordsLinked to original sources

Myeloid-derived Suppressor Cells Mitigate Inflammation in Periodontal Disease

Myeloid derived suppressor cells (MDSCs) are a heterogeneous population of immature, immune suppressive myeloid cells. However, their role in periodontal disease (PD), a microbially induced inflammatory oral disease, remains understudied. Here we show that gingiva (gums) from PD patients exhibit significantly higher levels of MDSC markers including Granulocytic (G)-MDSC and Monocytic (M)-MDSC subsets as well as CD4+ T cells and CD19+ B cells. Gingival MDSC subsets exhibit potent immunoregulatory activity as marked by attenuated autologous CD4+ T cells proliferation and IFN{gamma} production. In a murine model of ligature-induced periodontitis (LIP), we noticed time-dependent gingival MDSC infiltration, which correlates with CD4+ T cell and CD19+ B cell infiltration. To test whether MDSC confer immunoregulatory function in vivo, we adoptively transferred G-MDSCs and M-MDSCs in mice. Interestingly, we observed significant reduction in inflammatory marker expression (IL6, TNF-, and IL-1{beta}), infiltration of CD4+ T cells, and concomitant increase in MDSC-derived immune suppressive molecules, ARG1 and IL-10, and CD4+CD25+FoxP3+ Tregs compared to mock. Conversely, depletion of MDSC using anti-Gr1 antibody resulted in marked induction of periodontal inflammation, reduced Treg population, and significantly higher alveolar bone loss. These findings, for the first time, suggest an anti-inflammatory and osteoprotective function of MDSCs in PD and offer a promising target to treat unresolved periodontal inflammation.

immunology↗

Multi-model preclinical platform predicts clinical response of melanoma to immunotherapy

Although immunotherapy has revolutionized cancer treatment, only a subset of patients demonstrates durable clinical benefit. Definitive predictive biomarkers and targets to overcome resistance remain unidentified, underscoring the urgency to develop reliable immunocompetent models for mechanistic assessment. Here we characterize a panel of syngeneic mouse models representing the main molecular and phenotypic subtypes of human melanomas and exhibiting their range of responses to immune checkpoint blockade (ICB). Comparative analysis of genomic, transcriptomic and tumor-infiltrating immune cell profiles demonstrated alignment with clinical observations and validated the correlation of T cell dysfunction and exclusion programs with resistance. Notably, genome-wide expression analysis uncovered a melanocytic plasticity signature predictive of patient outcome in response to ICB, suggesting that the multipotency and differentiation status of melanoma can determine ICB benefit. Our comparative preclinical platform recapitulates melanoma clinical behavior and can be employed to identify new mechanisms and treatment strategies to improve patient care.

cancer biology↗