Amyloidosis increase is not attenuated by long-term calorie restriction or related to neuron density in the prefrontal cortex of extremely aged rhesus macaques

As human lifespan increases and the population ages, diseases of aging such as Alzheimer's disease (AD) are a major cause for concern. Although calorie restriction (CR) as an intervention has been shown to increase healthspan in many species, few studies have examined the effects of CR on brain aging in primates. Using postmortem tissue from a cohort of extremely aged rhesus monkeys (22-44 years old, average age 31.8 years) from a longitudinal CR study, we measured immunohistochemically labeled amyloid beta plaques in Brodmann areas 32 and 46 of the prefrontal cortex, areas that play key roles in cognitive processing, are sensitive to aging and, in humans, are also susceptible to AD pathogenesis. We also evaluated these areas for cortical neuron loss, which has not been observed in younger cohorts of aged monkeys. We found a significant increase in plaque density with age, but this was unaffected by diet. Moreover, there was no change in neuron density with age or treatment. These data suggest that even in the oldest-old rhesus macaques, amyloid beta plaques do not lead to overt neuron loss. Hence, the rhesus macaque serves as a pragmatic animal model for normative human aging but is not a complete model of the neurodegeneration of AD. This model of aging may instead prove most useful for determining how even the oldest monkeys are protected from AD, and this information may therefore yield valuable information for clinical AD treatments.

Evaluating the Use of Plain Language in a Cancer Clinical Trial Website/App

Medically complex titles and descriptions found on clinical trial websites and online applications present a barrier to comprehension for users from the general public. In this study, we examine the effectiveness of plain language trial descriptions for user comprehension of basic trial details. Two hundred seventeen volunteers recruited from patient waiting areas completed 441 user tests of ten plain language trial descriptions. The majority of volunteers adequately comprehended the cancer type and basic inclusion/exclusion criteria from plain language trial descriptions. Difficulty comprehending the treatment being studied was seen in seven of ten descriptions tested. Revision and retesting of the seven trial descriptions showed continued user challenges in comprehending the treatment being studied. Plain language clinical trial descriptions integrated into a website/app allowed users to understand basic inclusion/exclusion criteria. Despite plain language used, discerning the treatment being studied may be difficult for some users. Integration of plain language descriptions into clinical trial online applications can help users understand trial basics. Further research regarding effective use of plain language to communicate the treatment being studied is needed.