Asthma in Vermont Dairy Farmers

Introduction. Although 5.4% of the Vermont population participates in agriculture as an occupation, little data exists on the prevalence of asthma in Vermont dairy farmers, due to inadequate sample sizes. Previous studies have shown dairy farmers are at risk of respiratory illness due to unique exposures intrinsic to their occupation. We conducted a study to assess the prevalence of asthma in dairy farmers in Vermont, to understand rates among this population and potential occupational risks.Methods. We distributed a paper survey modeled after previously-validated surveys, such as the BRFSS, to farmers at Vermont Farmer Bureau meetings, farmers markets, and individual farmers through Cabot Creamery. Out of 309 distributed surveys, we received 176 completed surveys for a response rate of 57%.Results. Self-reported asthma rate in dairy farmers was 21% (22% in dairy only farmers), with 90% of these cases reported as confirmed by a doctor. Of non-dairy farmers, 11% self-reported experiencing asthma. Farming activities associated with exacerbation of asthma symptoms were milking, prepping or cleaning bedding, and haying. 31% of dairy-only farmers reported symptom exacerbations due to these occupational triggers.Conclusions. The prevalence of asthma in Vermont dairy farmers is one of the highest reported rates in any Vermont occupation. Our data suggest that certain occupational exposures may increase risk of asthma and warrant further study; certain farming practices were associated with exacerbation of respiratory symptoms in farmers diagnosed with asthma. These findings and further research can assist in development of health care and preventive health measures for farmers.https://scholarworks.uvm.edu/comphp_gallery/1238/thumbnail.jp

The Covid Information Commons & Columbia University Libraries – using translation & transcription to increase accessibility to NSF-funded research

by Lauren Close, Lylybell Teran, and Esther Jackson, with editorial support from Florence Hudson, Macy Moujabber, Isabella Graham-Martinez, and Jeremiah Mercurio With thanks to Lara Azar, Elia Bregman, Brian Buckley, Cora Lee Cole, Victoria Horrocks, Saanya Subasinghe, Rhyley Vaughan, and Kathryn Pope. In collaboration with the Columbia University Libraries, the Northeast Big Data Innovation Hub (NEBDHub) began a project in 2021 to make the resources associated with the NSF-funded COVID Information Commons (CIC) virtual events accessible to the broader public. The NEBDHub team of staff and students, with support from the Columbia University Libraries’ Academic Commons, created English transcriptions and captions and Spanish translations for each of the CIC webinar research lightning talks.These COVID-19 resources were designed in alignment with the NEBDHub’s website accessibility principles and Diversity, Equity, Inclusion, and Accessibility policy guidelines. The materials will be maintained by the Academic Commons in perpetuity, ensuring their availability to students, faculty, staff, and members of the public

Morphoelectric and transcriptomic divergence of the layer 1 interneuron repertoire in human versus mouse neocortex

Neocortical layer 1 (L1) is a site of convergence between pyramidal-neuron dendrites and feedback axons where local inhibitory signaling can profoundly shape cortical processing. Evolutionary expansion of human neocortex is marked by distinctive pyramidal neurons with extensive L1 branching, but whether L1 interneurons are similarly diverse is underexplored. Using Patch-seq recordings from human neurosurgical tissue, we identified four transcriptomic subclasses with mouse L1 homologs, along with distinct subtypes and types unmatched in mouse L1. Subclass and subtype comparisons showed stronger transcriptomic differences in human L1 and were correlated with strong morphoelectric variability along dimensions distinct from mouse L1 variability. Accompanied by greater layer thickness and other cytoarchitecture changes, these findings suggest that L1 has diverged in evolution, reflecting the demands of regulating the expanded human neocortical circuit.</p

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele