Patrick Kearns on Muck Rack

Patrick Kearns

Verified
United States
As seen in: Archives of Pathology & Laboratory Medicine, British Journal of Cancer, Journal of Environmental Quality, Nature, Annals of Internal Medicine, eLife, Multiple Sclerosis and Related Disorders
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Articles

Structural epitope profiling identifies antibodies associated with critical COVID-19 and long COVID

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By Patrick Kearns Verified, Charles Dixon, Mihaly Badonyi, Kim Lee
| eLife
B cells are selected for the affinity of their membrane-bound immunoglobulin receptor (mIg) to bind surfaces on foreign materials, for example, viral proteins. Cells are activated by binding cognate antigen and within a suitable co-stimulatory environment are expanded and differentiate to secrete matching antibodies into blood and mucosa (1).
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Network analysis characterizes key associations between subjective fatigue and specific depressive symptoms in early relapsing-remitting multiple sclerosis

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By Yuan-Ting Chang, Patrick Kearns Verified, Alan Carson, David Gillespie
| Multiple Sclerosis and Related Disorders Verified
Fatigue is common and disabling in multiple sclerosis (MS), yet its mechanisms are poorly understood. In particular, overlap in measures of fatigue and depression complicates interpretation. We applied a multivariate network approach to quantify relationships between fatigue and other variables in early MS. Data were collected from patients with newly diagnosed immunotherapy-naïve relapsing-remitting MS at baseline and month 12 follow-up in FutureMS, a Scottish nationally representative cohort.
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Structural epitope profiling identifies antibodies associated with critical COVID-19 and long COVID

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By Patrick Kearns Verified, Mihaly Badonyi, Kim Lee, Olivia Fleming
| medRxiv
Abstract Antibodies can have beneficial, neutral, or harmful effects so resolving an antibody repertoire to its target epitopes may explain heterogeneity in susceptibility to infectious disease. However, the three-dimensional nature of antibody-epitope interactions limits discovery of important targets. We describe and experimentally validated a computational method and synthetic biology pipeline for identifying structurally stable and functionally important epitopes from the SARS-CoV-2 proteome.
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