RESUMO
Alzheimer's disease is currently not curable. Almost all attempts to identify disease-modifying drugs failed and the causes of disease etiology are not well understood. Neurofibrillary tangles composed of pathological tau protein belong to the main hallmarks of this disease. Identification of novel physiological and pathological tau interacting proteins may lead to a better understanding of Alzheimer's disease pathology and tau physiology and therefore we performed a screening of the brain library by a yeast two-hybrid system intending to identify new tau interaction partners. We identified CHORDC1 (cysteine and histidine-rich domain-containing protein 1) as a novel tau interaction partner by this approach. The CHORDC1-tau interaction was validated by co-immunoprecipitation from rat brain tissues and by in vitro co-localization in the cellular model expressing full-length human tau protein. We believe that our results can be useful for researchers studying tau protein in health and disease.
Assuntos
Proteínas tau , Proteínas tau/metabolismo , Ratos , Animais , Humanos , Ligação Proteica , Encéfalo/metabolismo , Mapeamento de Interação de Proteínas , Técnicas do Sistema de Duplo-HíbridoRESUMO
BACKGROUND: Accumulation of tau leads to neuroinflammation and neuronal cell death in tauopathies, including Alzheimer's disease. As the disease progresses, there is a decline in brain energy metabolism. However, the role of tau protein in regulating lipid metabolism remains less characterized and poorly understood. METHODS: We used a transgenic rat model for tauopathy to reveal metabolic alterations induced by neurofibrillary pathology. Transgenic rats express a tau fragment truncated at the N- and C-terminals. For phenotypic profiling, we performed targeted metabolomic and lipidomic analysis of brain tissue, CSF, and plasma, based on the LC-MS platform. To monitor disease progression, we employed samples from transgenic and control rats aged 4, 6, 8, 10, 12, and 14 months. To study neuron-glia interplay in lipidome changes induced by pathological tau we used well well-established multicomponent cell model system. Univariate and multivariate statistical approaches were used for data evaluation. RESULTS: We showed that tau has an important role in the deregulation of lipid metabolism. In the lipidomic study, pathological tau was associated with higher production of lipids participating in protein fibrillization, membrane reorganization, and inflammation. Interestingly, significant changes have been found in the early stages of tauopathy before the formation of high-molecular-weight tau aggregates and neurofibrillary pathology. Increased secretion of pathological tau protein in vivo and in vitro induced upregulated production of phospholipids and sphingolipids and accumulation of lipid droplets in microglia. We also found that this process depended on the amount of extracellular tau. During the later stages of tauopathy, we found a connection between the transition of tau into an insoluble fraction and changes in brain metabolism. CONCLUSION: Our results revealed that lipid metabolism is significantly affected during different stages of tau pathology. Thus, our results demonstrate that the dysregulation of lipid composition by pathological tau disrupts the microenvironment, further contributing to the propagation of pathology.
Assuntos
Doença de Alzheimer , Tauopatias , Ratos , Animais , Camundongos , Proteínas tau/genética , Proteínas tau/metabolismo , Emaranhados Neurofibrilares/metabolismo , Metabolismo dos Lipídeos , Tauopatias/patologia , Doença de Alzheimer/patologia , Encéfalo/metabolismo , Ratos Transgênicos , Camundongos Transgênicos , Modelos Animais de DoençasRESUMO
BACKGROUND: Tau pathology correlates with and predicts clinical decline in Alzheimer's disease. Approved tau-targeted therapies are not available. METHODS: ADAMANT, a 24-month randomised, placebo-controlled, parallel-group, double-blinded, multicenter, Phase 2 clinical trial (EudraCT2015-000630-30, NCT02579252) enrolled 196 participants with Alzheimer's disease; 119 are included in this post-hoc subgroup analysis. AADvac1, active immunotherapy against pathological tau protein. A machine learning model predicted likely Amyloid+Tau+ participants from baseline MRI. STATISTICAL METHODS: MMRM for change from baseline in cognition, function, and neurodegeneration; linear regression for associations between antibody response and endpoints. RESULTS: The prediction model achieved PPV of 97.7% for amyloid, 96.2% for tau. 119 participants in the full analysis set (70 treatment and 49 placebo) were classified as A+T+. A trend for CDR-SB 104-week change (estimated marginal means [emm] = -0.99 points, 95% CI [-2.13, 0.13], p = 0.0825]) and ADCS-MCI-ADL (emm = 3.82 points, CI [-0.29, 7.92], p = 0.0679) in favour of the treatment group was seen. Reduction was seen in plasma NF-L (emm = -0.15 log pg/mL, CI [-0.27, -0.03], p = 0.0139). Higher antibody response to AADvac1 was related to slowing of decline on CDR-SB (rho = -0.10, CI [-0.21, 0.01], p = 0.0376) and ADL (rho = 0.15, CI [0.03, 0.27], p = 0.0201), and related to slower brain atrophy (rho = 0.18-0.35, p < 0.05 for temporal volume, whole cortex, and right and left hippocampus). CONCLUSIONS: In the subgroup of ML imputed or CSF identified A+T+, AADvac1 slowed AD-related decline in an antibody-dependent manner. Larger anti-tau trials are warranted. FUNDING: AXON Neuroscience SE.