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Record W7023786863

Piperine Derivatives as Modulators of Amyloid-Beta (Aβ) Aggregation

2023· dissertation· en· W7023786863 on OpenAlexaff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPiperaceae Chemical and Biological Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPiperineSmall moleculeMonoclonal antibodyDrugProtein aggregationDrug developmentPeptideDrug discovery
DOInot available

Abstract

fetched live from OpenAlex

Alzheimer’s Disease (AD) is a life-changing neurodegenerative disease that progresses in stages and currently has no effective cure. More than 597,000 Canadians suffer from AD. Symptoms of late-stage AD are severe and include memory loss, apathy, depression, and psychosis, resulting in large burdens for caregivers and the economy. A major factor leading to AD is the aggregation of a protein known as amyloid-β (Aβ). However, most pharmacotherapies for AD provide only symptomatic relief and target other pathways. The recently approved monoclonal antibodies (mAbs) are the only disease-modifying therapies targeting Aβ peptide aggregation in AD that are available in the US. Limitations of mAb therapies include high-cost for patients, high manufacturing costs and resource-intensive parenteral administration. In this regard, the current study focused on the development of novel anti-amyloid small molecules based on piperine, derived from the black pepper plant, that was reported to enhance cognition. Advantages of small molecule AD therapeutics include being highly scalable and applicable to non-invasive routes of drug administration. A library of 13 piperine derivatives were designed, synthesized, and evaluated as potential inhibitors of Aβ42 aggregation. The experiments carried out include i) developing chemistry reaction conditions to synthesize the target compounds, ii) compound characterization by analytical chemistry, iii) determining their inhibition activity toward Aβ42 aggregation by fluorescence aggregation kinetics studies and transmission electron microscopy, iv) computational modeling studies in the Aβ42 model to understand the binding interactions of lead compounds and v) cell viability studies in mouse hippocampal HT22 cells. The structure activity relationship (SAR) studies led to the identification of three piperine derivatives 4a (R = pyrrolidine), 4b (R = thiomorpholine) and 4c (R = morpholine) as the lead compounds with inhibition ranging from 35-48 % (at 10 µM). The results were also confirmed by electron microscopy studies which demonstrated the ability of these compounds to reduce Aβ42 aggregation. Molecular docking studies in the Aβ42 pentamer model show that the terminal acyl substituents play a major role in stabilizing the Aβ42 pentamer assembly by interacting at the amyloidogenic interface consisting of the C- and N-terminal residues. This prevents further self-assembly and aggregation. Cell culture assays in HT22 mouse hippocampal cells showed that the lead compounds 4a, 4b and 4c were not toxic (cell viability >90 %, at 25 µM). This is the first study that reports the discovery of novel piperine based compounds as direct inhibitors of Aβ42 aggregation. Overall, the results obtained from this thesis provide valuable insights in the design, development, and application of novel small molecules to study and treat AD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.059
GPT teacher head0.332
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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