Presenilin Gene Mutation Linked to Familial form of Alzheimer's Disease
|
By LabMedica International staff writers Posted on 24 Mar 2015 |

Image: Comparing sections of cortex from a control mouse (left) to a mouse with a presenilin-1 mutation (right). The dashed line indicates the surface of the brain. Presenilin-1 mutations decrease gamma-secretase activity and cause features of neurodegeneration, including shrinkage of the cortex, as shown above (Photo courtesy of Dr. Raymond Kelleher and Dr. Jie Shen, Harvard Medical School).
Results obtained in studies using a genetically engineered mouse model of hereditary Alzheimer's disease pointed to the importance of reduced gamma-secretase activity caused by a mutation in the presenilin (PSEN1) gene.
Most cases of Alzheimer's disease are not hereditary. However, there is a small subset of cases that have an earlier age of onset and have a strong genetic element. In patients suffering from this form of Alzheimer's disease (autosomal dominant hereditary), mutations in the presenilin proteins (PSEN1 and PSEN2) or the amyloid precursor protein (APP) can be found. The majority of these cases carry mutant presenilin genes. An important factor in the disease process in AD is the accumulation of amyloid beta (Abeta) protein. To form Abeta, APP must be cut by two enzymes, beta-secretase and gamma-secretase. Presenilin is the sub-component of gamma-secretase that is responsible for the cutting of APP. Individuals with a hereditary form of AD over produce type 42 amyloid beta protein (Abeta42), which readily accumulates in the amyloid plaques that characterize the disease.
Investigators at Harvard Medical School (Boston, MA, USA) generated PSEN1 knockin (KI) mice carrying the familial Alzheimer’s disease (FAD) mutation L435F or C410Y.
They reported in the March 4, 2015, online edition of the journal Neuron that KI mice homozygous for either mutation recapitulated the phenotypes of mice that had been genetically engineered to completely lack PSEN1. Neither mutation altered PSEN1 mRNA expression, but both abolished gamma-secretase activity. Heterozygosity for the KI mutation decreased production of Abeta40 and Abeta42, increased the Abeta42/Abeta40 ratio, and increased Abeta deposition. In addition, the L435F mutation impaired hippocampal synaptic plasticity and memory and caused age-dependent neurodegeneration in the aging cerebral cortex. Collectively, the findings revealed that FAD mutations could cause complete loss of presenilin-1 function in vivo, suggesting that clinical PSEN mutations produce FAD through a loss-of-function mechanism.
"This is a very striking example where we have mutations that inactivate gamma-secretase function and yet they trigger an array of features that resemble Alzheimer's disease, notably synaptic and cognitive deficits as well as neurodegeneration," said senior author Dr. Raymond Kelleher, professor of neurology at Harvard Medical School. "This study is the first example of a mouse model in which a familial Alzheimer's mutation is sufficient to cause neurodegeneration. The new model provides an opportunity that we hope will help with the development of therapies focusing on the devastating neurodegenerative changes that occur in the disease."
Related Links:
Harvard Medical School
Most cases of Alzheimer's disease are not hereditary. However, there is a small subset of cases that have an earlier age of onset and have a strong genetic element. In patients suffering from this form of Alzheimer's disease (autosomal dominant hereditary), mutations in the presenilin proteins (PSEN1 and PSEN2) or the amyloid precursor protein (APP) can be found. The majority of these cases carry mutant presenilin genes. An important factor in the disease process in AD is the accumulation of amyloid beta (Abeta) protein. To form Abeta, APP must be cut by two enzymes, beta-secretase and gamma-secretase. Presenilin is the sub-component of gamma-secretase that is responsible for the cutting of APP. Individuals with a hereditary form of AD over produce type 42 amyloid beta protein (Abeta42), which readily accumulates in the amyloid plaques that characterize the disease.
Investigators at Harvard Medical School (Boston, MA, USA) generated PSEN1 knockin (KI) mice carrying the familial Alzheimer’s disease (FAD) mutation L435F or C410Y.
They reported in the March 4, 2015, online edition of the journal Neuron that KI mice homozygous for either mutation recapitulated the phenotypes of mice that had been genetically engineered to completely lack PSEN1. Neither mutation altered PSEN1 mRNA expression, but both abolished gamma-secretase activity. Heterozygosity for the KI mutation decreased production of Abeta40 and Abeta42, increased the Abeta42/Abeta40 ratio, and increased Abeta deposition. In addition, the L435F mutation impaired hippocampal synaptic plasticity and memory and caused age-dependent neurodegeneration in the aging cerebral cortex. Collectively, the findings revealed that FAD mutations could cause complete loss of presenilin-1 function in vivo, suggesting that clinical PSEN mutations produce FAD through a loss-of-function mechanism.
"This is a very striking example where we have mutations that inactivate gamma-secretase function and yet they trigger an array of features that resemble Alzheimer's disease, notably synaptic and cognitive deficits as well as neurodegeneration," said senior author Dr. Raymond Kelleher, professor of neurology at Harvard Medical School. "This study is the first example of a mouse model in which a familial Alzheimer's mutation is sufficient to cause neurodegeneration. The new model provides an opportunity that we hope will help with the development of therapies focusing on the devastating neurodegenerative changes that occur in the disease."
Related Links:
Harvard Medical School
Latest BioResearch News
- Genome Analysis Predicts Likelihood of Neurodisability in Oxygen-Deprived Newborns
- Gene Panel Predicts Disease Progession for Patients with B-cell Lymphoma
- New Method Simplifies Preparation of Tumor Genomic DNA Libraries
- New Tool Developed for Diagnosis of Chronic HBV Infection
- Panel of Genetic Loci Accurately Predicts Risk of Developing Gout
- Disrupted TGFB Signaling Linked to Increased Cancer-Related Bacteria
- Gene Fusion Protein Proposed as Prostate Cancer Biomarker
- NIV Test to Diagnose and Monitor Vascular Complications in Diabetes
- Semen Exosome MicroRNA Proves Biomarker for Prostate Cancer
- Genetic Loci Link Plasma Lipid Levels to CVD Risk
- Newly Identified Gene Network Aids in Early Diagnosis of Autism Spectrum Disorder
- Link Confirmed between Living in Poverty and Developing Diseases
- Genomic Study Identifies Kidney Disease Loci in Type I Diabetes Patients
- Liquid Biopsy More Effective for Analyzing Tumor Drug Resistance Mutations
- New Liquid Biopsy Assay Reveals Host-Pathogen Interactions
- Method Developed for Enriching Trophoblast Population in Samples
Channels
Clinical Chemistry
view channel
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read more
Compact Raman Imaging System Detects Subtle Tumor Signals
Accurate cancer diagnosis often depends on labor-intensive tissue staining and expert pathological review, which can delay results and limit access to rapid screening. These conventional methods also make... Read moreMolecular Diagnostics
view channel
Blood Test Predicts Crohn’s Disease Years Before Symptoms Appear
Crohn’s disease is a chronic inflammatory disorder of the gastrointestinal tract that causes persistent digestive symptoms, pain, and fatigue, often leading to lifelong treatment. Incidence rates are rising... Read more
DNA Testing of Colorectal Polyps Improves Insight into Hereditary Risks
Colorectal cancer is among the most common cancers in Western countries, and hereditary factors are involved in about 5–10% of cases, particularly in younger patients. Individuals with large numbers of... Read moreHematology
view channel
AI Algorithm Effectively Distinguishes Alpha Thalassemia Subtypes
Alpha thalassemia affects millions of people worldwide and is especially common in regions such as Southeast Asia, where carrier rates can reach extremely high levels. While the condition can have significant... Read more
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read moreImmunology
view channel
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
New Test Measures How Effectively Antibiotics Kill Bacteria
Antibiotics are typically evaluated by how well they inhibit bacterial growth in laboratory tests, but growth inhibition does not always mean the bacteria are actually killed. Some pathogens can survive... Read more
New Antimicrobial Stewardship Standards for TB Care to Optimize Diagnostics
Antibiotic resistance is rising worldwide, threatening the effectiveness of treatments for major infectious diseases, including tuberculosis (TB). Resistance to key TB drugs, such as bedaquiline, is of... Read morePathology
view channel
AI-Powered Label-Free Optical Imaging Accurately Identifies Thyroid Cancer During Surgery
Thyroid cancer is the most common endocrine cancer, and its rising detection rates have increased the number of patients undergoing surgery. During tumor removal, surgeons often face uncertainty in distinguishing... Read more
Deep Learning–Based Method Improves Cancer Diagnosis
Identifying vascular invasion is critical for determining how aggressive a cancer is, yet doing so reliably can be difficult using standard pathology workflows. Conventional methods require multiple chemical... Read more
ADLM Updates Expert Guidance on Urine Drug Testing for Patients in Emergency Departments
Urine drug testing plays a critical role in the emergency department, particularly for patients presenting with suspected overdose or altered mental status. Accurate and timely results can directly influence... Read moreTechnology
view channel
AI-Generated Sensors Open New Paths for Early Cancer Detection
Cancers are far easier to treat when detected early, yet many tumors remain invisible until they are advanced or have recurred after surgery. Early-stage disease often produces signals that are too weak... Read more
Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
Detecting cancer early and tracking how it responds to treatment remains a major challenge, particularly when cancer cells are present in extremely low numbers in the bloodstream. Circulating tumor cells... Read moreIndustry
view channel
WHX Labs Dubai to Gather Global Experts in Antimicrobial Resistance at Inaugural AMR Leaders’ Summit
World Health Expo (WHX) Labs in Dubai (formerly Medlab Middle East), which will be held at Dubai World Trade Centre from 10-13 February, will address the growing global threat of antimicrobial resistance... Read more






 Analyzer.jpg)
