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Biology subjects

Hill, C. M.

Publications and source records attributed to Hill, C. M..

7 recordsLinked to original sources

Long-term voluntary exercise reveals limited translation of hippocampal molecular responses into neuroprotection in 5xFAD mice

Physical exercise promotes systemic and neural adaptations that support healthy brain aging and may mitigate Alzheimers disease (AD) progression. However, the capacity of the AD-afflicted brain to mount and translate exercise-responsive molecular adaptations into neuroprotection remains unclear. Here, we examined the effects of long-term voluntary wheel running (VWR) on molecular, neuropathological, and behavioral outcomes in independently studied male and female 5xFAD mice. VWR elicited expected metabolic and transcriptional remodeling of inguinal white adipose tissue, confirming engagement of exercise-responsive peripheral biology. In contrast, hippocampal transcriptional responses were modest, with few differentially expressed genes and coordinated changes emerging primarily at the pathway level. These responses involved synaptic, neuroimmune, mitochondrial, neurotrophic, and monoaminergic processes and differed qualitatively between the two groups. Several components of the canonical hippocampal exercise response also failed to converge into coordinated cellular adaptations: synaptic protein abundance changed without altering synapse density, while neurotrophic, neurogenic, and vascular responses showed little correspondence across molecular and cellular measures. VWR also produced little change in hippocampal amyloid pathology or behavioral function despite sustained exercise engagement. Together, these findings demonstrate that the 5xFAD brain retains modest molecular responsiveness to prolonged voluntary exercise but may be unable to mount a sufficiently robust or coordinated response to produce broad neuroprotective effects. These findings highlight disease context as an important determinant of the efficacy of exercise-based interventions in neurodegenerative disease.

neuroscience↗

Mapping CD4+ T Cell Landscapes in Glioblastoma Reveals Effectors and Bystanders

The tumor immune microenvironment (TME) has been demonstrated to significantly shape glioblastoma (GBM) progression and therapeutic response, yet the role of CD4+ T cells remains incompletely defined. Here, by integrating single-cell RNA, surface-protein, and TCR profiling of 39,788 T cells from 16 high-grade gliomas with five matched blood samples, we mapped 23,550 CD4+ T cells across 11 states and revealed predominance of CD4+ T cells in primary, but not recurrent, tumors, alongside pronounced tumor-blood discordance. Clonal analyses revealed expansion of cytotoxic effector CD4+ T cells within tumors and TEMRA CD4+ T cells in blood. A small set of dominant clonotypes (0.2% of unique TCR{beta} sequences) accounted for >6% of all CD4+ T cells across both compartments and were shared across different transcriptional subsets, suggesting diverse transcriptional development stemming from a shared progenitor. In contrast, virally annotated clonotypes were broadly dispersed and largely unexpanded, consistent with bystander populations. Collectively, we investigated the cellular and clonal architecture of human CD4+ T cells in GBM and highlight the contrast between PBMC and TIL compartments.

immunology↗

Selective inflammation of the tumor microenvironment and invigorated T cell-mediated tumor control upon induced systemic inactivation of TREX1

Therapeutic innate immune stimulation within the tumor microenvironment can potentiate endogenous antitumor T cell immunity. DNase 3-repair exonuclease 1 (TREX1) is essential for cellular DNA disposal which prevents autoimmunity ensuing from cGAS/STING activation by endogenous DNA. Optimal strategies to therapeutically leverage cGAS/STING signalling for cancer therapy are highly sought after. TREX1-deficient tumor cells elicit enhanced protective immunity in syngeneic models. Here we show that induced inactivation of the Trex1 gene in (non-malignant) host cells is well tolerated and yields improved type I IFN- and T cell-dependent control of established TREX1-competent tumors with selective immune cell infiltration of tumor, but not other tissues. Intra-tumoral T cell proliferation and numbers of effector and effector-like exhausted cells massively increased, enabling complete rejection in synergy with checkpoint inhibition. We conclude that systemic TREX1 inhibition is a promising approach to boost anti-tumor immunity, that can overcome immune evasion by cancer cell- intrinsic cGAS/STING inactivation.

immunology↗

Selective inhibition of interleukin-2 inducible T cell kinase (ITK) enhances anti-tumor immunity in association with Th1-skewing, cytotoxic T cell activation, and reduced T cell exhaustion

ITK is a tyrosine kinase expressed predominantly by T lymphocytes. In mice, selective knock-out of the ITK gene produces Th1 skewing of T helper cell differentiation. We synthesized a covalent ITK inhibitor, soquelitinib, that binds ITK with greater than 100-fold selectivity compared to binding to resting lymphocyte kinase (RLK). In vitro studies with normal or malignant T cells demonstrated that soquelitinib suppresses Th2 cytokine production preferentially with relative sparing of Th1 cytokines. Soquelitinib inhibits the in vivo growth of several syngeneic murine tumors including those that do not express ITK. Treatment with soquelitinib leads to increased tumor infiltration of normal CD8+ cells that possess enhanced T effector function. Soquelitinib inhibited expression of T cell exhaustion markers and was able to restore T effector function to exhausted cells. Pharmacologic selective ITK inhibition may represent a novel approach to cancer immunotherapy.

cancer biology↗

Gonadal sex patterns p21-induced cellular senescence in mouse and human glioblastoma

Males exhibit higher incidence and worse prognosis for the majority of cancers, including glioblastoma (GBM). Disparate survival may be related to sex-biased responses to treatment, including radiation. Using a mouse model of GBM, we show that female cells are more sensitive to radiation, and that senescence represents a major component of the radiation therapeutic response in both sexes. Correlation analyses revealed that the CDK inhibitor p21 and irradiation induced senescence were differentially regulated between male and female cells. Indeed, female cellular senescence was more sensitive to changes in p21 levels, a finding that was observed in both wildtype and transformed murine astrocytes and patient-derived GBM cell lines. Using a novel Four Core Genotypes model of GBM, we further show that sex differences in p21-induced senescence are patterned by gonadal sex. These data suggest that sex differences in p21 induced senescence contribute to the female survival advantage in GBM.

cancer biology↗

Integrative network modeling reveals mechanisms underlying T cell exhaustion

Failure to clear antigens causes CD8+ T cells to become increasingly hypo-functional, a state known as exhaustion. We combined manually extracted information from published literature with gene expression data from diverse model systems to infer a set of molecular regulatory interactions that underpin exhaustion. Topological analysis and simulation modeling of the network suggests CD8+ T cells undergo 2 major transitions in state following stimulation. The time cells spend in the earlier proliferative/pro-memory (PP) state is a fixed and inherent property of the network structure. Transition to the second state is necessary for exhaustion. Combining insights from network topology analysis and simulation modeling, we predict the extent to which each node in our network drives cells towards an exhausted state. We demonstrate the utility of our approach by experimentally testing the prediction that druginduced interference with EZH2 function increases the proportion of proliferative/pro-memory cells in the early days post-activation.

systems biology↗

MetaCompass: Reference-guided Assembly of Metagenomes

Metagenomic studies have primarily relied on de novo approaches for reconstructing genes and genomes from microbial mixtures. While database driven approaches have been employed in certain analyses, they have not been used in the assembly of metagenomes. Here we describe the first effective approach for reference-guided metagenomic assembly of low-abundance bacterial genomes that can complement and improve upon de novo metagenomic assembly methods. When combined with de novo assembly approaches, we show that MetaCompass can generate more complete assemblies than can be obtained by de novo assembly alone, and improve on assemblies from the Human Microbiome Project (over 2,000 samples).

bioinformatics↗