Publications by authors named "M Horner"

Article Synopsis
  • A team of over 180 researchers from more than 40 countries is addressing the issues related to "phantom agents," which are proposed pathogenic agents that are listed without concrete evidence of their existence.
  • These phantom agents, identified only through symptoms and lacking proper isolates or genetic data, create obstacles for trade and plant certification, making effective detection and risk assessment difficult.
  • The researchers recommend removing these agents from regulatory lists and updating standards in line with modern diagnostic methods to facilitate germplasm exchange and support global agriculture.
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Methods for the precise temporal control of cell surface receptor activation are indispensable for the investigation of signaling processes in mammalian cells. Optogenetics enables such precise control, but its application in primary cells is limited by the imperative for genetic manipulation of target cells. We here describe a method that overcomes this obstacle and enables the precise activation of the T cell receptor in nongenetically engineered human T cells by light.

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Mucosal healing is critical to maintain and restore intestinal homeostasis in inflammation. Previous data provide evidence that glial cell line-derived neurotrophic factor (GDNF) restores epithelial integrity by largely undefined mechanisms. Here, we assessed the role of GDNF for mucosal healing.

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Necrotizing enterocolitis (NEC) is a major cause of mortality in preterm infants. Its pathophysiology remains poorly understood but intestinal epithelial barrier dysfunction contributes to the disease. We characterized junctional proteins in intestinal specimens from preterm infants.

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Background: Cancer risk among people with HIV (PWH) has declined over time as a result of antiretroviral therapy, but it is unclear whether all racial/ethnic groups and transmission risk groups have experienced equal declines.

Methods: We used data on PWH aged ≥20 years old from the HIV/AIDS Cancer Match Study during 2001-2019. We used Poisson regression to assess time trends in incidence rates for each cancer site by racial/ethnicity and risk group, adjusting for age, registry, and sex.

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