Investigating Alzheimer’s Disease Through Mouse Models
Research studies mouse models to better understand Alzheimer’s disease and potential treatments.
Junmin Peng, J. M. Yarbro, X. Han, A. Dasgupta, K. Yang, D. Liu, H. Shrestha, M. Zaman, Z. Wang, K. Yu, D. G. Lee, D. Vanderwall, M. Niu, H. Sun, B. Xie, P.-C. Chen, Y. Jiao, X. Zhang, Z. Wu, Y. Fu, Y. Li, Z.-F. Yuan, X. Wang, S. Poudel, B. Vagnerova, Q. He, A. Tang, P. Ronaldson, R. Chang, G. YU, Y. Liu
― 6 min read
Table of Contents
- What Happens in the Brain?
- Other Related Proteins
- Genetic Factors
- Mouse Models of Alzheimer’s
- Limitations of Current Models
- Recent Advances in Technology
- Transcriptomic and Proteomic Changes
- Proteomic Analysis of Alzheimer’s Models
- Methodology
- Shared Proteomic Changes in Mouse Models
- Key Findings
- Understanding Phosphoproteome Changes
- Identifying Consistent Changes
- Comparison with Human Alzheimer’s Data
- Pathway Activities
- Additional Pathologies in AD Models
- Unique Protein Changes
- Multi-Omics Integration and Insights
- Identifying Key Proteins
- Changes in Protein Turnover Rates
- Investigating Protein Lifespan
- Conclusion
- Future Directions
- Original Source
- Reference Links
Alzheimer’s disease (AD) is a brain disorder that slowly destroys memory and thinking skills. It usually affects people over 65 years old, and millions of Americans have it. The disease leads to changes in the brain, causing problems with memory, behavior, and daily tasks.
What Happens in the Brain?
In AD, two main problems occur in the brain. First, a protein called Beta-amyloid builds up outside nerve cells, forming sticky plaques. This can disrupt communication between brain cells. Second, another protein called TAU forms tangles inside nerve cells, which can damage the cells and lead to cell death. These changes occur long before symptoms show up.
Proteins
Other RelatedBesides beta-amyloid and tau, there are other proteins that might contribute to Alzheimer’s. Some of these include alpha-synuclein, TDP-43, and U1 snRNP. Scientists are still trying to understand how these proteins work together and how they lead to the disease.
Genetic Factors
Researchers have found several genes that can increase the risk of developing AD. Three main genes are known to cause familial AD (which runs in families): APP, PSEN1, and PSEN2. Other genes, like APOE4 and TREM2, are linked to a higher risk of developing the disease, while about 100 other genes may have a smaller effect.
Mouse Models of Alzheimer’s
To understand AD better, scientists often use mouse models. These mice are engineered to have some genetic changes similar to what is seen in people with Alzheimer’s. More than 100 mouse models have been created to study the disorder. Some of the most common models include 5xFAD, 3xTG, and NLF.
Limitations of Current Models
While these mouse models provide valuable insights, they do not fully replicate all aspects of human AD. The level of brain damage seen in these mice is often less severe than what occurs in human patients. Researchers must know the strengths and weaknesses of each model to choose the right one for their studies.
Recent Advances in Technology
New technologies in biology, especially "omics" studies, allow scientists to look at many molecules in the brain at once. This helps researchers evaluate how different mouse models compare to human AD.
Transcriptomic and Proteomic Changes
A study of gene activity in mouse models showed changes in proteins involved in immune response and brain signaling. However, sometimes the level of RNA (a molecule related to gene activity) does not match the level of the proteins made from that RNA. This can be due to various processes that occur after the RNA is made, such as how the proteins are made and broken down.
Proteomic Analysis of Alzheimer’s Models
A comprehensive study examined thousands of proteins and phosphopeptides (a specific type of protein modified with phosphate) in different mouse models of AD. This study included commonly used models like 5xFAD and NLGF, as well as additional models 3xTG and BiG. The aim was to find common changes in proteins associated with AD.
Methodology
In this research, brain samples from these mice were analyzed to identify proteins that changed with age. The researchers also wanted to see how these changes compare to human data. They find that amyloid buildup affects the degradation of certain proteins, suggesting that the accumulation of amyloid contributes to changes in brain proteins.
Shared Proteomic Changes in Mouse Models
The study compared protein levels in three AD mouse models at various ages, along with age-matched control mice. While examining data from these models, researchers found many shared changes in protein levels linked to the disease.
Key Findings
- Similar patterns of protein changes were found in the 5xFAD and NLGF models.
- Even though NLF showed fewer changes, the other models exhibited significant alterations as they aged.
- A high number of proteins changed in line with the level of amyloid accumulation, indicating a direct association between amyloid levels and protein changes in the brain.
Understanding Phosphoproteome Changes
Phosphorylation is another important process in AD. Changes in the addition of phosphate groups to proteins can affect their function and stability. In the same study, scientists analyzed how phosphorylation levels differed in the various mouse models.
Identifying Consistent Changes
The researchers found a number of proteins with altered phosphorylation levels common to both mouse models. They linked these changes to pathways involved in immune response and neuronal signaling.
Comparison with Human Alzheimer’s Data
To understand how mouse models relate to human AD, researchers compared protein changes in mice with known changes seen in human studies. They identified a core set of proteins that were similarly affected in both species, indicating that the mouse models can help in understanding human diseases.
Pathway Activities
When examining the shared proteins, several key biological pathways were found to be significantly active. These pathways are related to immune response, protein metabolism, and cell communication.
Additional Pathologies in AD Models
While the common models are helpful, they do not capture all aspects of AD. Some newer models, like 3xTG and BiG, exhibit additional features of the disease, such as tau tangles and RNA splicing problems.
Unique Protein Changes
For instance, 3xTG showed proteins linked to tau pathways, while BiG exhibited changes related to RNA splicing and synaptic function. Comparing these models reveals that the presence of additional pathologies helps make them more similar to human AD.
Multi-Omics Integration and Insights
Bringing together data from different "omics" layers can provide a better picture of what happens in AD. By integrating data about proteins, RNA, and other molecular activities, researchers can better understand the disease.
Identifying Key Proteins
Through their analysis, researchers identified several proteins that are not yet well-studied but may play important roles in AD. These include proteins related to synaptic function and immune response that could help develop targeted therapies.
Changes in Protein Turnover Rates
One significant finding from the research was the alteration in how fast proteins are broken down in the brain. In AD, some proteins accumulate because they are not broken down as quickly as they should be.
Investigating Protein Lifespan
Scientists used special techniques to track how long proteins last in the brain. They found that in AD models, some proteins have much longer lifespans, leading to their buildup. This extended presence of proteins may contribute to the disease's progression and symptoms.
Conclusion
This extensive study highlights the importance of using multiple models to study Alzheimer’s disease. By understanding the differences and similarities between mouse models and human data, scientists can better identify potential treatment targets.
Future Directions
The findings also suggest that focusing on understudied proteins and processes could lead to breakthroughs in how we understand and treat Alzheimer’s disease. This comprehensive approach could pave the way for more effective therapies to address the challenges of this condition.
By continuing to analyze and integrate findings from various models, researchers hope to unlock new strategies to combat Alzheimer’s. The ongoing work in this field remains crucial for improving the lives of those affected by this devastating disease.
Title: Human-mouse proteomics reveals the shared pathways in Alzheimer's disease and delayed protein turnover in the amyloidome
Abstract: Murine models of Alzheimers disease (AD) are crucial for elucidating disease mechanisms but have limitations in fully representing AD molecular complexities. We comprehensively profiled age-dependent brain proteome and phosphoproteome (n > 10,000 for both) across multiple mouse models of amyloidosis. We identified shared pathways by integrating with human metadata, and prioritized novel components by multi-omics analysis. Collectively, two commonly used models (5xFAD and APP-KI) replicate 30% of the human protein alterations; additional genetic incorporation of tau and splicing pathologies increases this similarity to 42%. We dissected the proteome-transcriptome inconsistency in AD and 5xFAD mouse brains, revealing that inconsistent proteins are enriched within amyloid plaque microenvironment (amyloidome). Determining the 5xFAD proteome turnover demonstrates that amyloid formation delays the degradation of amyloidome components, including A{beta}-binding proteins and autophagy/lysosomal proteins. Our proteomic strategy defines shared AD pathways, identify potential new targets, and underscores that protein turnover contributes to proteome-transcriptome discrepancies during AD progression.
Authors: Junmin Peng, J. M. Yarbro, X. Han, A. Dasgupta, K. Yang, D. Liu, H. Shrestha, M. Zaman, Z. Wang, K. Yu, D. G. Lee, D. Vanderwall, M. Niu, H. Sun, B. Xie, P.-C. Chen, Y. Jiao, X. Zhang, Z. Wu, Y. Fu, Y. Li, Z.-F. Yuan, X. Wang, S. Poudel, B. Vagnerova, Q. He, A. Tang, P. Ronaldson, R. Chang, G. YU, Y. Liu
Last Update: 2024-10-25 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.10.25.620263
Source PDF: https://www.biorxiv.org/content/10.1101/2024.10.25.620263.full.pdf
Licence: https://creativecommons.org/licenses/by/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 biorxiv for use of its open access interoperability.