As a study participant, I’ve had all kinds of tests, like cognitive tests, magnetic resonance scans and lumbar punctures. Supporting research is like giving back to society.’
Enric Nieto, participant in the Beta-AARC study
Alfa Study
The ALFA study is a key research platform for understanding the pathophysiology of Alzheimer's in its preclinical phase and advancing the development of preventive treatments. Launched in 2013 by the ‘la Caixa’ Foundation, it is one of the most ambitious research initiatives in the world, involving 2,743 participants aged between 45 and 75, the majority of whom are descendants of individuals with Alzheimer's.
The ALFA study represents a strategic infrastructure, enabling further research into early detection and identification of risk factors for the disease. It also provides essential data for most BBRC studies and serves as a basis for clinical trials focused on Alzheimer's prevention, thanks to the detailed characterisation of its ALFA participants.
2.743
People between the
ages of 45 and 75
ALFA10
ALFA10 covers the long-term follow-up of participants in the ALFA study. It is a one-of-a-kind initiative aimed at developing and validating a predictive algorithm able to estimate a person’s risk of developing Alzheimer’s, setting the stage for a new era of research.
To validate this algorithm, the study includes new assessment methods and the collection of samples to compare clinical, biological and cognitive data, identifying subtle changes and improving our understanding of the preclinical phases of Alzheimer's using more accurate technology and innovative biomarkers.
ALFA10 has a remote digital follow-up system to monitor cognitive changes and other indicators in a more consistent, efficient manner.
ALFA Sleep
The aim of the ALFA Sleep project is to use subjective and objective measures to characterise sleep patterns in middle-aged adults with no cognitive impairment who have an increased risk of developing Alzheimer's in the future and correlate them to biomarkers and state-of-the-art neuroimaging data.
Thanks to its multimodal approach and the study participant cohort, enriched by risk factors, the project will contribute to the understanding of the mechanisms behind the association between sleep and cognitive impairment.
As such, the project aims to develop non-invasive sleep-oriented biomarkers and preventive strategies. A total of 200 participants from the ALFA+ cohort are taking part in ALFA Sleep.
HeBe
The aim of HeBe is to identify blood factors that have a rejuvenating or ageing effect on the human brain.
The results will help improve diagnosis of Alzheimer's disease or other neurodegenerative diseases in their early phases. They will also aid in the detection of individuals at higher risk of developing these diseases, predicting their prognosis, monitoring their progression and measuring the effectiveness of any potential treatments.
This project receives funding from the European Research Council (ERC) within the framework of the European Union's Horizon 2020 research and innovation programme (grant agreement number 948677).
PROSPECT-AD
Speech impairment is typical of early stage Alzheimer's disease and, consequently, the analysis of speech performance is a promising new digital biomarker for the detection of the disease.
The aim of PROSPECT-AD is to validate speech biomarkers to help identify individuals with early signs of Alzheimer's and monitor them over time.
In addition, digital biomarkers of language and speech open the door to screening methods for populations at greater risk of suffering the disease at very early stages, which will be necessary for future clinical trials of drugs to treat Alzheimer’s disease. PROSPECT-AD collects data from European cohorts, 100 of which are from the BBRC Beta-AARC study.
Beta-AARC
The Beta-AARC project, a cohort study to identify blood biomarkers in individuals with subjective cognitive decline, has been in progress since 2021. It seeks to deepen knowledge and understanding of factors that influence the onset of Alzheimer's and also to detect biomarkers that can identify individuals who are at an increased risk of developing the disease before their first symptoms appear.
It is a cohort study that will include approximately 200 people between the ages of 55 and 80 years old who are experiencing a subjective decline in memory or other cognitive skills, such as attention span, planning ability and orientation.
The Beta-AARC study is supported by the ACS Foundation, Condis, EDM, la Sirena and the Ramón Areces Foundation.
SCAP-AD
The SCAP-AD project aims to validate new, ultra-sensitive diagnostic methods for the early detection of Alzheimer's disease. Led by the CIEN Foundation and with the participation of the Barcelonaβeta Brain Research Center (BBRC), this project seeks to apply precision medicine to improve the diagnosis and treatment of neurodegenerative diseases such as Alzheimer's.
The BBRC is responsible for coordinating the neuroimaging work of participating centres, overseeing the collection and archiving of magnetic resonance images from each site, and ensuring high-quality image processing and quality control.
The study will establish two large population cohorts: A digital cohort to explore the use of an online cognitive assessment test via a web platform; and a large clinical validation cohort.
ALFA+
ALFA+ is a cohort, prospective and observational study that aims to describe the biological processes of Alzheimer's and identify factors that can predict the preclinical phase of the disease.
Thanks to the extensive assessment of 400 participants with no cognitive impairment from the ALFA study, ALFA+ analyses the association between biological, structural, functional, neurocognitive and fluid brain markers that characterise the preclinical phase of the disease and describe its natural history. It is supported by the Adey Foundation.
Number of members evolution
