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Identifying Distinct Subtypes of Alzheimer’s Disease

New research reveals different Alzheimer’s disease subtypes, emphasizing personalized treatment.

― 7 min read


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Alzheimer’s disease (AD) is a major cause of dementia, impacting around 44 million individuals globally. This condition is identified by specific changes in the brain, such as amyloid plaques and tangles formed by a protein called tau. Despite knowing these changes, researchers continue to struggle with fully grasping how the disease develops and acts in the brain. Studies looking into genetics and different Proteins found in the brain have suggested that there are many complex processes at work that can cause the changes associated with amyloid and tau. These processes involve how brain cells communicate, immunity, inflammation, fat processing, and blood flow. The complexity of these interactions can help explain why many past drug trials for AD have not shown significant success.

One example is that researchers found increased levels of a protein called BACE1 in a particular group of AD patients. This suggests that treating this specific group might need different approaches compared to others. Therefore, there is a significant need for treatments that are personalized and more effective tools to identify the unique characteristics of different AD types.

The Role of Cerebrospinal Fluid

Cerebrospinal fluid (CSF) is an important fluid in the body, as it closely interacts with the brain. This fluid contains proteins that reflect ongoing activities in the brain, making it a valuable resource for studying brain diseases. Researchers previously identified three specific types of AD by examining different proteins in CSF. These proteins were found to relate to various biological functions such as brain cell flexibility, immune system activity, and the integrity of the blood-brain barrier. Interestingly, these distinct changes in the proteins were seen early in the disease's progress, even before significant cognitive decline. This emphasizes the potential of using proteomics in CSF to notice processes related to AD in living patients.

Recent advances in proteomic techniques now allow the detection of thousands of proteins in CSF samples. This opens doors to better understand the molecular events linked with AD. In a new study, researchers examined CSF from 609 individuals and were able to identify over 3000 proteins, aiming to find more AD types and examine how genetics might play a role in these different types.

Previous Research Findings

In earlier studies, researchers looked at how CSF AD types linked to Genetic Risks, particularly the APOE e4 gene, which is strongly linked to sporadic AD, and other genetic factors discovered in a recent study. They also looked into some rare genetic mutations linked to increased AD risk. With a small number of patients who carried specific genetic mutations that cause familial AD, researchers explored which types they might belong to.

To better define the Subtypes, they compared clinical features, brain changes, and biological processes. The large-scale CSF study identified five distinct AD types. Three of these were consistent with previous findings about types related to heightened brain cell flexibility, immune activation, and blood-brain barrier problems. The new types were linked to RNA disruptions and issues with the choroid plexus, which produces CSF. Each subtype showed different genetic risk profiles, emphasizing the biological differences among them.

The proteomic profiles of these AD types were noticeable even in the early stages. There were marked differences in how brain structures changed, the rate of decline from mild cognitive impairment to dementia, and survival times in dementia. This study helps reveal the critical roles of brain flexibility, impaired immune response, RNA functioning, and the health of the choroid plexus and blood-brain barrier in the progression of AD.

Study Overview

The study analyzed CSF samples from 609 individuals selected from various Alzheimer-related studies. Among these, 419 individuals had abnormal levels of a protein called amyloid beta. The rest served as controls with normal cognition and CSF levels. The proteins in the CSF were then broken down and labeled for further analysis.

Through this process, a total of 3863 proteins were identified, with 1309 observed in all individuals. The team focused on identifying proteins that varied between controls and AD patients. They further analyzed these proteins based on tau levels and disease stages, ultimately selecting 1058 proteins for deeper analysis.

These selected proteins were then grouped using a specialized clustering approach, which is beneficial for diagnosing and categorizing patients in future trials.

Identification of AD Subtypes

The analysis successfully identified five AD subtypes. The first three subtypes were those previously noted, with a new focus on RNA dysregulation and choroid plexus dysfunction. By examining the clinical characteristics, researchers found that these subtypes differed in CSF protein levels, genetic risks, and clinical progression rates.

Subtypes 1 and 2, which were linked to brain cell flexibility and immune activation respectively, had higher levels of certain proteins when compared to controls. Subtype 3 with RNA issues had a mix of protein changes, whereas subtype 4 focused on problems with the choroid plexus. Finally, subtype 5 highlighted blood-brain barrier dysfunction.

Detailed Examination of Each Subtype

Subtype 1: Hyperplasticity

Individuals within this subtype had significant changes in proteins associated with brain cell flexibility. This highlighted processes important for brain functioning, including how brain cells communicate and adapt. The presence of specific proteins indicated increased activity in brain cells, which could lead to transformations in how they function.

Alterations in certain genetic risk factors were prominent in this group, particularly those linked to microglial activation and inflammation. This adaptive response might highlight a potential link to the development of AD.

Subtype 2: Innate Immune Activation

This subtype showed an overactive immune response in the brain. Increased levels of proteins linked to inflammation and immune activity were notable. These changes can contribute to brain cell damage, which aligns with observed brain atrophy in individuals.

The altered immune response suggests that a heightened innate immune system could worsen the condition, pointing to potential pathways for therapeutic strategies.

Subtype 3: RNA Dysregulation

A new subtype focused on issues linked to RNA processing. Abnormal levels of proteins essential for RNA function were observed, indicating deeper issues regarding the production and handling of proteins necessary for brain health.

The results suggest that disruptions in RNA could contribute to the neuronal damage seen in AD, further emphasizing the need for targeted treatments.

Subtype 4: Choroid Plexus Dysfunction

This subtype highlighted problems with the choroid plexus, which is responsible for producing cerebrospinal fluid. Changes in proteins showed alterations in how the choroid plexus functions, suggesting that this could contribute to overall disease progression.

Atrophy in specific brain areas correlates with these alterations, reinforcing the need for addressing choroid plexus health in AD treatment strategies.

Subtype 5: Blood-Brain Barrier Dysfunction

The final subtype showcased significant changes linked to the blood-brain barrier. Increased levels of proteins typically found in the bloodstream were evident, suggesting that the barrier was compromised. This finding indicates a potential pathway for harmful proteins to enter the brain, leading to further damage.

The link to genetic variants associated with vascular problems supports the idea that maintaining blood-brain barrier integrity is critical in managing AD.

Conclusion

The study conclusively identifies several distinct subtypes of Alzheimer’s disease, each characterized by different biological processes, protein alterations, and genetic risk profiles. The existence of these subtypes suggests a need for personalized treatment approaches, as each group may respond differently to therapies.

Understanding the complexity of AD through the lens of CSF proteomics offers hope for developing targeted therapies that could more effectively manage and treat this devastating disease. The findings call for continued research to uncover tailored methods for each subtype, ensuring that individuals receive the best possible care based on their specific disease characteristics.

Original Source

Title: Large-scale cerebrospinal fluid proteomic analysis in Alzheimer's disease patients reveals five molecular subtypes with distinct genetic risk profiles.

Abstract: Alzheimers disease (AD) is heterogenous on the molecular level. Understanding this heterogeneity is critical for AD drug development. We aimed to define AD molecular subtypes by mass spectrometry proteomics in cerebrospinal fluid (CSF). Of the 3863 proteins detected in CSF, 1058 proteins had different levels in individuals with AD (n=419) compared with controls (n=187). Cluster analyses of AD individuals on these 1058 proteins revealed five subtypes: subtype 1 was characterized by neuronal hyperplasticity; subtype 2 by innate immune activation; subtype 3 by RNA dysregulation; subtype 4 by choroid plexus dysfunction; and subtype 5 by blood-brain barrier dysfunction. Distinct genetic profiles were associated with subtypes, e.g., subtype 1 was enriched with TREM2 R47H. Subtypes also differed in brain atrophy and clinical outcomes. For example, survival was shorter in subtype 3 compared to subtype 1 (5.6 versus 8.9 years). These novel insights into AD molecular heterogeneity highlight the need for personalized medicine.

Authors: Betty M Tijms, E. M. Vromen, O. Mjaavatten, H. Holstege, L. M. Reus, S. J. van der Lee, K. Wesenhagen, L. Lorenzini, L. Vermunt, V. Venkatraghavan, N. Tesi, J. Tomassen, A. den Braber, J. Goossens, E. Vanmechelen, F. Barkhof, Y. A. Pijnenburg, W. M. van der Flier, C. E. Teunissen, F. Berven, P. J. Visser

Last Update: 2023-05-11 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2023.05.10.23289793

Source PDF: https://www.medrxiv.org/content/10.1101/2023.05.10.23289793.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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