Biology subjects

Capewell, P.

Publications and source records attributed to Capewell, P..

3 recordsLinked to original sources

bioRxiv2023

A microRNA-based Johne's disease diagnostic predictive system: preliminary results

BackgroundJohnes disease, caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a chronic enteritis impacting welfare and productivity in cattle. Screening and animal removal are common for disease management, but efforts are hindered by low diagnostic sensitivity. Expression levels of small non-coding RNA molecules involved in gene regulation (microRNAs) altered during mycobacterial infection may present an alternative diagnostic method. MethodsLevels of 24 microRNAs affected by mycobacterial infection were measured in sera from MAP-positive (n=66) and MAP-negative samples (n=65). They were used to train a collection of statistical and machine learning models to identify an optimal classifier for diagnosis. ResultsThe best-performing model provided 72% accuracy, 78% AUC, 73% sensitivity and 71% specificity on average. LimitationsAlthough control samples were collected from farms nominally MAP-free, low sensitivity in current diagnostics means animals may be misclassified. ConclusionMicroRNA profiling combined with advanced predictive modelling techniques accurately diagnosed Johnes disease in cattle.

bioinformatics↗

bioRxiv2022

Interleukin-17 drives sex-dependent weight loss and changes in feeding behaviour during Trypanosoma brucei infection

In the skin, Trypanosoma brucei colonises the subcutaneous white adipose tissue (scWAT) and harbours a pool of parasites that are proposed to be competent for forward transmission. The interaction between parasites, adipose tissue, and the local immune system is likely to drive the adipose tissue wasting and weight loss observed in cattle and humans infected with T. brucei. However, mechanistically, the events leading to scWAT wasting are not fully understood. Here, using several complementary approaches, including mass cytometry by time of flight, bulk and single cell transcriptomics, and in vivo genetic models, we found that T. brucei infection drives local expansion of several IL-17A-producing cells in the murine WAT, including TH17 and V{gamma}6+ T cells. We also found that global IL-17 deficiency, or mice lacking IL-17 receptor expression exclusively in adipocytes, were protected from infection-induced WAT wasting and weight loss. Unexpectedly, we found that abrogation of IL-17 signalling in adipocytes results in a significant accumulation of Dpp4+ Pi16+ interstitial preadipocytes and a higher burden of extravascular parasites in the WAT, highlighting a critical role for IL-17 signalling in controlling preadipocyte fate, scWAT tissue dynamics, and local parasite burden. Taken together, our study highlights the central role of adipocyte IL-17 signalling in controlling WAT responses to infection, suggesting that adipocytes are a critical coordinator of the tissue dynamics and immune responses to T. brucei infection.

immunology↗

bioRxiv2017

T cell activation and the HLA locus associate with latent infections of human African trypanosomiasis

Infections by many pathogens can result in a wide range of phenotypes, from severe to mild, or even asymptomatic. Understanding the genetic basis of these phenotypes can lead to better tools to treat patients or detect reservoirs. To identify human genetic factors that contribute to symptoms diversity, we examined the range of disease severities caused by the parasite T. b. gambiense, the primary cause of human African trypanosomiasis (HAT). We analyzed the transcriptomes of immune cells from both symptomatic HAT cases and individuals with latent infections. Our analysis identified several genes and pathways that associated with the latent phenotype, primarily suggesting increased T and B cell activation in HAT patients relative to latent infections. We also used these transcriptome data to conduct an exome-wide single nucleotide polymorphism (SNP) association study. This suggested that SNPs in the human major histocompatibility locus (HLA) associate with severity, supporting the transcription data and suggesting that T cell activation is a determining factor in outcome. Finally, to establish if T cell activation controls disease severity, we blocked co-stimulatory dependent T cell activation in an animal model for HAT. This showed that reducing T cell activation during trypanosome infection improves symptoms and reduces parasitemia. Our data has used a combination of transcriptome-wide analysis and an in vivo model to reveal that T cell activation and the HLA locus associate with the development of symptoms during HAT. This may open new avenues for the development of new therapeutics and prognostics.

genetics↗