16 research outputs found

    Gut Ī³Ī“ T cells as guardians, disruptors and instigators of cancer

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    Colorectal cancer is the third most common cancer worldwide with nearly 2 million cases per year. Immune cells and inflammation are a critical component of colorectal cancer progression, and they are used as reliable prognostic indicators of patient outcome. With the growing appreciation for immunology in colorectal cancer, interest is growing on the role Ī³Ī“ T cells have to play, as they represent one of the most prominent immune cell populations in gut tissue. This group of cells consists of both resident populationsā€”Ī³Ī“ intraepithelial lymphocytes (Ī³Ī“ IELs)ā€”and transient populations that each has unique functions. The homeostatic role of these Ī³Ī“ T cell subsets is to maintain barrier integrity and prevent microorganisms from breaching the mucosal layer, which is accomplished through crosstalk with enterocytes and other immune cells. Recent years have seen a surge in discoveries regarding the regulation of Ī³Ī“ IELs in the intestine and the colon with particular new insights into the butyrophilin family. In this review, we discuss the development, specialities, and functions of Ī³Ī“ T cell subsets during cancer progression. We discuss how these cells may be used to predict patient outcome, as well as how to exploit their behavior for cancer immunotherapy

    Relationship between immune checkpoint proteins, tumour microenvironment characteristics, and prognosis in primary operable colorectal cancer

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    The tumour microenvironment is an important factor for colorectal cancer prognosis, affecting the patient's immune response. Immune checkpoints, which regulate the immune functions of lymphocytes, may provide prognostic power. This study aimed to investigate the prognostic value of the immune checkpoints TIMā€3, LAGā€3 and PDā€1 in patients with stage Iā€“III colorectal cancer. Immunohistochemistry was employed to detect TIMā€3, LAGā€3, PDā€1 and PDā€L1 in 773 patients with stage Iā€“III colorectal cancer. Immune checkpoint protein expression was assessed in tumour cells using the weighted histoscore, and in immune cells within the stroma using point counting. Scores were analysed for associations with survival and clinical factors. High tumoural LAGā€3 (hazard ratio [HR] 1.45 95% confidence interval [CI] 1.00ā€“2.09, p =ā€‰0.049) and PDā€1 (HR 1.34 95% CI 1.00ā€“1.78, p =ā€‰0.047) associated with poor survival, whereas high TIMā€3 (HR 0.60 95% CI 0.42ā€“0.84, p =ā€‰0.003), LAGā€3 (HR 0.58 95% CI 0.40ā€“0.87, p =ā€‰0.006) and PDā€1 (HR 0.65 95% CI 0.49ā€“0.86, p =ā€‰0.002) on immune cells within the stroma associated with improved survival, while PDā€L1 in the tumour (p =ā€‰0.487) or the immune cells within the stroma (p =ā€‰0.298) was not associated with survival. Furthermore, immune cell LAGā€3 was independently associated with survival (p =ā€‰0.017). Checkpoint expression scores on stromal immune cells were combined into a Combined Immune Checkpoint Stromal Score (CICSS), where CICSS 3 denoted all high, CICSS 2 denoted any two high, and CICSS 1 denoted other combinations. CICSS 3 was associated with improved patient survival (HR 0.57 95% CI 0.42ā€“0.78, p =ā€‰0.001). The results suggest that individual and combined high expression of TIMā€3, LAGā€3, and PDā€1 on stromal immune cells are associated with better colorectal cancer prognosis, suggesting there is added value to investigating multiple immune checkpoints simultaneously

    A hybrid correlative-mechanistic approach for modeling and mapping winter distributions of western bat species

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    This is the peer reviewed version of the following article: A hybrid correlative-mechanistic approach for modeling and mapping winter distributions of western bat species, which has been published in final form at https://doi.org/10.1111/jbi.14130. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.Aim: The fungal pathogen Pseudogymnoascus destructans and resultant white-nose syndrome (WNS) continues to advance into western North America, infecting new bat populations, species, and hibernacula. Western North America hosts the highest bat diversity in the U.S. and Canada, yet little is known about western hibernacula and western batsā€™ hibernation behavior. An improved understanding of where bats hibernate in the West and the conditions that create suitable hibernacula is critical if land managers are to anticipate and address the conservation needs of WNS-susceptible species. Location: United States and Canada Taxon: bats Methods: We estimated suitability of potential winter hibernaculum sites across the ranges of five bat species occurring in the West. We estimated winter survival capacity from a mechanistic survivorship model based on bat bioenergetics and climate conditions. Leveraging the Google Earth Engine platform for spatial data processing, we used boosted regression trees to relate these estimates, along with key landscape attributes, to bat occurrence data in a hybrid correlative-mechanistic approach. Results: We show that winter survival capacity, topography, land cover, and access to caves and mines are important predictors of winter hibernaculum selection, but the shape and relative importance of these relationships vary among species. Our findings suggest that the occurrence of bat hibernacula can, in part, be predicted from readily mapped above-ground features, and is not only dictated by below-ground characteristics for which spatial data are lacking. Furthermore, our mechanistic estimate of winter survivorship was among the strongest predictors of winter occurrence probability across focal species. Main conclusions: Our findings offer an improved understanding of the likely winter distribution of bats occurring in the West, and offers a valuable baseline for assessing the potential specieslevel impacts of P. destructans as well as future climate change.Department of Defense Environmental Research and Development Program || Royal Society Te Aparangi, Grant MAU1701

    Incorporating evaporative water loss into bioenergetic models of hibernation to test for relative influence of host and pathogen traits on white-nose syndrome.

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    Hibernation consists of extended durations of torpor interrupted by periodic arousals. The 'dehydration hypothesis' proposes that hibernating mammals arouse to replenish water lost through evaporation during torpor. Arousals are energetically expensive, and increased arousal frequency can alter survival throughout hibernation. Yet we lack a means to assess the effect of evaporative water loss (EWL), determined by animal physiology and hibernation microclimate, on torpor bout duration and subsequent survival. White-nose syndrome (WNS), a devastating disease impacting hibernating bats, causes increased frequency of arousals during hibernation and EWL has been hypothesized to contribute to this increased arousal frequency. WNS is caused by a fungus, which grows well in humid hibernaculum environments and damages wing tissue important for water conservation. Here, we integrated the effect of EWL on torpor expression in a hibernation energetics model, including the effects of fungal infection, to determine the link between EWL and survival. We collected field data for Myotis lucifugus, a species that experiences high mortality from WNS, to gather parameters for the model. In saturating conditions, we predicted healthy bats experience minimal mortality. Infected bats, however, suffer high fungal growth in highly saturated environments, leading to exhaustion of fat stores before spring. Our results suggest that host adaptation to humid environments leads to increased arousal frequency from infection, which drives mortality across hibernaculum conditions. Our modified hibernation model provides a tool to assess the interplay between host physiology, hibernaculum microclimate, and diseases such as WNS on winter survival

    Systematic review of the efficacy, effectiveness and safety of high-dose seasonal influenza vaccines for the prevention of laboratory-confirmed influenza in individuals >= 18 years of age

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    The most effective means of preventing seasonal influenza is through vaccination. In this systematic review, we investigated the efficacy, effectiveness and safety of MF59Ā® adjuvanted trivalent and quadrivalent influenza vaccines to prevent laboratory-confirmed influenza. A systematic literature search was conducted in electronic databases and grey literature sources up to 7 February 2020. Randomised controlled trials and non-randomised studies of interventions (NRSIs) were eligible for inclusion. The search returned 28,846 records, of which 48 studies on MF59Ā® adjuvanted vaccines met our inclusion criteria. No efficacy trials were identified. In terms of vaccine effectiveness (VE), MF59Ā® adjuvanted trivalent influenza vaccines were effective in preventing laboratory-confirmed influenza in older adults (aged ā‰„65Ā years) compared with no vaccination (VEĀ =Ā 45%, 95% confidence interval (CI) 23%-61%, 5 NRSIs across 3 influenza seasons). By subtype, significant effect was found for influenza A(H1N1) (VEĀ =Ā 61%, 95% CI 44%-73%) and B (VEĀ =Ā 29%, 95% CI 5%-46%), but not for A(H3N2). In terms of relative VE, there was no significant difference comparing MF59Ā® adjuvanted trivalent vaccines with either non-adjuvanted trivalent or quadrivalent vaccines. Compared with traditional trivalent influenza vaccines, MF59Ā® adjuvanted trivalent influenza vaccines were associated with a greater number of local adverse events (RRĀ =Ā 1.90, 95% CI 1.50-2.39) and systemic reactions (RRĀ =Ā 1.18, 95% CI 1.02-1.38). In conclusion, MF59Ā® adjuvanted trivalent influenza vaccines were found to be more effective than 'no vaccination'. Based on limited data, there was no significant difference comparing the effectiveness of MF59Ā® adjuvanted vaccines with their non-adjuvanted counterparts

    Systematic review of the efficacy, effectiveness and safety of MF59 adjuvanted seasonal influenza vaccines for the prevention of laboratory-confirmed influenza in individuals ā‰„18Ā years of age.

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    The most effective means of preventing seasonal influenza is through vaccination. In this systematic review, we investigated the efficacy, effectiveness and safety of MF59Ā® adjuvanted trivalent and quadrivalent influenza vaccines to prevent laboratory-confirmed influenza. A systematic literature search was conducted in electronic databases and grey literature sources up to 7 February 2020. Randomised controlled trials and non-randomised studies of interventions (NRSIs) were eligible for inclusion. The search returned 28,846 records, of which 48 studies on MF59Ā® adjuvanted vaccines met our inclusion criteria. No efficacy trials were identified. In terms of vaccine effectiveness (VE), MF59Ā® adjuvanted trivalent influenza vaccines were effective in preventing laboratory-confirmed influenza in older adults (aged ā‰„65Ā years) compared with no vaccination (VEĀ =Ā 45%, 95% confidence interval (CI) 23%-61%, 5 NRSIs across 3 influenza seasons). By subtype, significant effect was found for influenza A(H1N1) (VEĀ =Ā 61%, 95% CI 44%-73%) and B (VEĀ =Ā 29%, 95% CI 5%-46%), but not for A(H3N2). In terms of relative VE, there was no significant difference comparing MF59Ā® adjuvanted trivalent vaccines with either non-adjuvanted trivalent or quadrivalent vaccines. Compared with traditional trivalent influenza vaccines, MF59Ā® adjuvanted trivalent influenza vaccines were associated with a greater number of local adverse events (RRĀ =Ā 1.90, 95% CI 1.50-2.39) and systemic reactions (RRĀ =Ā 1.18, 95% CI 1.02-1.38). In conclusion, MF59Ā® adjuvanted trivalent influenza vaccines were found to be more effective than 'no vaccination'. Based on limited data, there was no significant difference comparing the effectiveness of MF59Ā® adjuvanted vaccines with their non-adjuvanted counterparts
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