Publications by authors named "J Voisey"
Depression continues to be a significant and growing public health concern. In clinical practice, it involves a clinical diagnosis. There is currently no defined or agreed upon biomarker/s for depression that can be readily tested.
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- PTSD genetics have been difficult to study compared to other psychiatric disorders, limiting our biological understanding of the condition.
- A large-scale meta-analysis involving over 1.2 million individuals identified 95 genome-wide significant loci, with 80 being new discoveries related to PTSD.
- Researchers identified 43 potential causal genes linked to neurotransmitter activity, developmental processes, synaptic function, and immune regulation, enhancing our knowledge of the neurobiological systems involved in PTSD.
Lung transplant recipients frequently encounter immune-related complications, including chronic lung allograft dysfunction (CLAD). Monitoring immune cells within the lung microenvironment is pivotal for optimizing post-transplant outcomes. This study examined the proportion of T cell subsets in paired bronchoalveolar lavage (BAL) and peripheral PBMC comparing healthy ( = 4) and lung transplantation patients ( = 6, no CLAD and = 14 CLAD) using 14-color flow cytometry.
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- This study examined the role of CD39-expressing immune cells in chronic hypersensitivity pneumonitis (HP), focusing on their influence on inflammation and tissue remodeling in the lungs.
- Through advanced techniques like single-cell transcriptomics and flow cytometry, researchers identified diverse immune cell types, including macrophages, T cells, and regulatory T cells (Tregs), with CD39-expressing Tregs showing increased ATP hydrolysis and regulatory functions.
- The findings highlight the complex interactions between these cells in HP and suggest that CD39-expressing cells have dual functions as both Tregs and proinflammatory Th17 cells, pointing towards potential therapeutic strategies for managing HP.
Pathological brain lesions exhibit diverse appearance in brain images, in terms of intensity, texture, shape, size, and location. Comprehensive sets of data and annotations are difficult to acquire. Therefore, unsupervised anomaly detection approaches have been proposed using only normal data for training, with the aim of detecting outlier anomalous voxels at test time.
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