Parkinson's disease is marked clinically by motor dysfunction and pathologically by dopaminergic cell loss in the substantia nigra and iron accumulation in the substantia nigra. The driver underlying iron accumulation remains unknown and could be genetic or environmental. The HFE protein is critical for the regulation of cellular iron uptake. Mutations within this protein are associated with increased iron accumulation including in the brain. We have focused on the commonly occurring H63D variant of the HFE gene as a disease modifier in a number of neurodegenerative diseases. To investigate the role of H63D HFE genotype, we generated a mouse model in which the wild-type (WT) HFE gene is replaced by the H67D gene variant (mouse homolog of the human H63D gene variant). Using paraquat toxicity as the model for Parkinson's disease, we found that WT mice responded as expected with significantly greater motor function, loss of tyrosine hydroxylase staining and increase microglial staining in the substantia nigra, and an increase in R relaxation rate within the substantia nigra of the paraquat-treated mice compared to their saline-treated counterparts. In contrast, the H67D mice showed a remarkable resistance to paraquat treatment; specifically differing from the WT mice with no changes in motor function or changes in R relaxation rates following paraquat exposure. At baseline, there were differences between the H67D HFE mice and WT mice in gut microbiome profile and increased L-ferritin staining in the substantia nigra that could account for the resistance to paraquat. Of particular note, the H67D HFE mice regardless of whether or not they were treated with paraquat had significantly less tyrosine hydroxylase immunostaining than WT. Our results clearly demonstrate that the HFE genotype impacts the expression of tyrosine hydroxylase in the substantia nigra, the gut microbiome and the response to paraquat providing additional support that the HFE genotype is a disease modifier for Parkinson's disease. Moreover, the finding that the HFE mutant mice are resistant to paraquat may provide a model in which to study resistant mechanisms to neurotoxicants.

Human papillomavirus (HPV)-positive head and neck cancers, predominantly oropharyngeal squamous cell carcinoma (OPSCC), exhibit epidemiologic, clinical, and molecular characteristics distinct from those OPSCCs lacking HPV. We applied a combination of whole-genome sequencing and optical genome mapping to interrogate the genome structure of HPV-positive OPSCCs. We found that the virus had integrated in the host genome in two thirds of the tumors examined but resided solely extrachromosomally in the other third. Integration of the virus occurred at essentially random sites within the genome. Focal amplification of the virus and the genomic sequences surrounding it often occurred subsequent to integration, with the number of tandem repeats in the chromosome accounting for the increased copy number of the genome sequences flanking the site of integration. In all cases, viral integration correlated with pervasive genome-wide somatic alterations at sites distinct from that of viral integration and comprised multiple insertions, deletions, translocations, inversions, and point mutations. Few or no somatic mutations were present in tumors with only episomal HPV. Our data could be interpreted by positing that episomal HPV is captured in the host genome following an episode of global genome instability during tumor development. Viral integration correlated with higher grade tumors, which may be explained by the associated extensive mutation of the genome and suggests that HPV integration status may inform prognosis. Implications: Our results indicate that HPV integration in head and neck cancer correlates with extensive pangenomic structural variation, which may have prognostic implications.

Cryo-electron tomography (cryo-ET) allows researchers to image cells in their native, hydrated state at the highest resolution currently possible. The technique has several limitations, however, that make analyzing the data it generates time-intensive and difficult. Hand segmenting a single tomogram can take from hours to days, but a microscope can easily generate 50 or more tomograms a day. Current deep learning segmentation programs for cryo-ET do exist, but are limited to segmenting one structure at a time. Here, multi-slice U-Net convolutional neural networks are trained and applied to automatically segment multiple structures simultaneously within cryotomograms. With proper preprocessing, these networks can be robustly inferred to many tomograms without the need for training individual networks for each tomogram. This workflow dramatically improves the speed with which cryo-electron tomograms can be analyzed by cutting segmentation time down to under 30 min in most cases.Further, segmentations can be used to improve the accuracy of filament tracing within a cellular context and to rapidly extract coordinates for subtomogram averaging.

Mutations within the HFE protein gene sequence have been associated with increased risk of developing a number of neurodegenerative disorders. To this effect, an animal model has been created which incorporates the mouse homologue to the human H63D-HFE mutation: the H67D-HFE knock-in mouse. These mice exhibit alterations in iron management proteins, have increased neuronal oxidative stress, and a disruption in cholesterol regulation. However, it remains undetermined how these differences translate to human H63D carriers in regards to white matter (WM) integrity. To this endeavor, MRI transverse relaxation rate (R2) parametrics were employed to test the hypothesis that WM alterations are present in H63D human carriers and are recapitulated in the H67D mice. H63D carriers exhibit widespread reductions in brain R2 compared to non-carriers within white matter association fibers in the brain. Similar R2 decreases within white matter tracks were observed in the H67D mouse brain. Additionally, an exacerbation of age-related R2 decrease is found in the H67D animal model in white matter regions of interest. The decrease in R2 within white matter tracks of both species is speculated to be multifaceted. The R2 changes are hypothesized to be due to alterations in axonal biochemical tissue composition. The R2 changes observed in both the human-H63D and mouse-H67D data suggest that modified white matter myelination is occurring in subjects with HFE mutations, potentially increasing vulnerability to neurodegenerative disorders.

RBP4 plays a critical role in metabolic disease, yet relatively little is known about the mechanisms that regulate its production. Herein, we provide evidence for translational control of RBP4 synthesis. We demonstrate that activation of the nutrient-sensitive kinase mTORC1 promotes hepatic Rbp4 mRNA translation. The findings support the possibility that targeting Rbp4 mRNA translation represents an alternative to current therapeutic interventions that lower serum RBP4 concentration by promoting urinary excretion of the protein.