Chlamydia in farms located in the Argentine-Brazilian-Paraguay tri-border.

Chlamydias are zoonotic pathogens, broadly present in several bird species and responsible for economic losses in animal production. Our study focused on assessing the prevalence of Chlamydial species posing zoonotic risks in farm animals within the highly biodiverse Argentine, Brazil, and Paraguay tri-border area, characterized by significant human interaction. We surveyed nine farms in an area and nasally swabbed a total of 62 animals, that included cattle, horses and pigs.

Public Health.

Background: The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) multimodal lifestyle intervention yielded cognitive and other health benefits in older adults at risk of cognitive decline. The two-year multinational randomized controlled LETHE trial evaluates the feasibility of a digitally supported, adapted FINGER intervention among at-risk older adults. Technology is used to complement in-person activities, for the intervention delivery, personalize recommendations, and collect digital biomarkers.

Public Health.

Background: Scalable, efficient methods are needed to enroll diverse populations of older adults into AD observational studies and clinical trials. We evaluated preliminary feasibility of a novel, digital, culturally informed approach to recruit and screen participants for the Alzheimer's Disease Neuroimaging Initiative (ADNI4).

Methods: Digital advertising tailored towards Black/African American and Latinx older adults residing near six clinical ADNI sites directed potential participants to a recruitment website (Figure 1).

Biomarkers.

Background: Recent developments in physiological and digital biomarkers provide an opportunity to shift the first diagnostic steps to the home-setting, thus allowing earlier detection and treatment of Alzheimer's disease (AD). Blood-based, magnetic resonance imaging, electrophysiological, digital and microbiome biomarkers have shown great promise and call for an evaluation of their accuracy, feasibility and safety in primary care and the community. The aim of PREDICTOM is to develop and test the accuracy of an artificial intelligence (AI) driven screening platform for the prediction and early detection of AD and to extend the clinical pathway to home-based screening using established and novel biomarkers.

Developing Topics.

Background: It is imperative to identify underrepresented populations (URPs) at risk for progression to Mild Cognitive Impairment (MCI) and dementia due to Alzheimer's disease (AD), yet substantial heterogeneity exists in the presentation and risk of AD among URPs. Previous research with predominantly non-Latinx White participants indicates early functional decline is associated with increased risk and can be effectively evaluated by participants and study partners (SPs). This study aims to understand the association between subjective functional/cognitive decline and objectively-measured cognitive decline in URPs.