Understanding the electrochemical interaction between the hybrid bilayer lipid membranes and amyloid‐β
Bibliographic record
Abstract
Abstract Background Biomimetic membrane systems can be deposited onto conductive metal surfaces to study the physical properties of membranes as well as the behaviour of proteins within these membranes using electrochemical and surface analytical techniques [1]. Although there are several types of biomimetic membrane, hybrid bilayer lipid membranes (HBLMs) have attracted wide interest. Traditionally, HBLMs have been developed by electrodepositing alkanethiol self‐assembled monolayers onto gold surfaces, which can then be further modified by depositing a secondary phospholipid layer to form the HBLM. Although HBLMs have been widely regarded due to them being robust, relatively straightforward to make, as well as being easy to modify according to the users needs, several concerns surround HBLMs including their reduced fluidity compared to true cell membranes. This is due to the alkanethiol layer being crystalline in nature and more densely packed, resulting in difficulty to reconstitute transmembrane proteins within them. Method Screen‐printed carbon electrodes are modified with diazonium based phenyl alkyl groups using different protocols to evaluate the biomimetic differences of these novel HBLMs. 2,2‐diphenyl‐1‐picrylhydrazyl is used to prevent the formation of polyaryl layers on the surface of the electrode, hence limiting the electrodeposition to a monolayer. The HBLMs are formed by depositing the second layer in the form of dihexadecyl phosphate, which are analyzed using differential pulse voltammetry, ellipsometry, and X‐ray photoelectron spectroscopy. Result The different HBLMs presented are embedded with amyloid‐β1‐42 (Aβ42), the hallmark protein implicated in Alzheimer’s Disease, to assess the protein‐membrane interactions using HBLMs. Aβ42 is known to aggregate to form dimers, oligomers, fibrils, and plaques. Hence using electrochemical techniques, we are able to monitor the aggregation of Aβ42 in the HBLMs. The aggregation process was accelerated by the presence of the bilayer membrane. Conclusion The electrochemical platform presented here enables us to understand how the interaction of amyloid‐β with the bilayer membrane can alter the aggregation pathways and also affect the formation of toxic oligomer species. References: [1] Fini, H., Hassan, Q., Noroozifar, M. & Kerman, K. Electrografting a Hybrid Bilayer Membrane via Diazonium Chemistry for Electrochemical Impedance Spectroscopy of Amyloid‐β Aggregation. Micromachines 13, 574 (2022).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".