α-Melanocyte Stimulating Hormone as a Potential Therapy for Alzheimer's Disease
Bibliographic record
Abstract
BACKGROUND: Alzheimer's disease (AD) is characterized by accumulation and aggregation of beta-amyloid peptide, neurofibrillary tangles of hyperphosphorylated tau, neuroinflammation, synaptic degeneration and eventual neuronal cell loss. Current treatment options for AD provide temporary symptomatic relief in a subset of patients. These drugs include cholinesterase inhibitors that improve cholinergic innervation such as rivastigmine, donepezil and galatamine. In addition, memantine, a Nmethyl- D-aspartate antagonist, is used to treat moderate to severe AD by reducing excitotoxicity. It has been proposed that increased excitation and decreased inhibition lead to aberrant excitatory neuronal activity and cognitive deficits in AD. METHODS: We undertook a search of the literature using bibliographic databases to identify publications that were related to neuronal activity in Alzheimer's disease. We further delineated the publications to determine inclusion/exclusion criteria based on relevance to increased excitation or decreased inhibition of neuronal networks in both human patients and rodent models. The final criteria related to the potential use of α-Melanocyte stimulating hormone (α-MSH) as a potential treatment strategy for Alzheimer's disease. These data were utilized to obtain the content of this review. RESULTS: We identified 156 peer-reviewed publications that met our criteria and describe the findings here. Rodent models of AD and ageing both exhibit cognitive deficits and loss of inhibitory GABAerigc interneurons. α-Melanocyte stimulating hormone is a neuropeptide that is down-regulated in the brain and cerebrospinal fluid of AD patients. α-MSH has many functions in the central nervous system including neuroprotective and anti-inflammatory effects that target multiple aspects of the AD pathology. α-MSH treatment promoted the survival of GABAergic interneurons in the hippocampus and improved spatial memory as well as alterations in anxiety in a mouse model of AD. The somatostatin expressing subpopulation of GABAergic interneurons are particularly preserved by α-MSH treatment. Somatostatin has been implicated in hippocampal-dependent cognitive tasks. Somatostatin-expressing interneurons have also been shown to play an important role in maintaining excitatory-inhibitory balance. α-MSH preserved GABAergic interneurons and by preventing the loss of the somatostatin subpopulation, it improved cognitive function. CONCLUSION: α-MSH is a novel candidate for the treatment of AD but its therapeutic potential in AD patients remains to be investigated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".