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Record W7132948623

Structural Characterization and Amyloidogenic Pathways of Lipid-free and Lipid-bound Serum Amyloid A

2024· dissertation· W7132948623 on OpenAlexafffund
Asal Nady

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsUniversity of Toronto
FundersSickkids Research InstituteHospital for Sick Children
KeywordsSerum amyloid AAmyloid (mycology)Acute-phase proteinInflammationAmyloid diseaseApolipoprotein BSerum Amyloid A ProteinInnate immune systemLipoprotein
DOInot available

Abstract

fetched live from OpenAlex

SAA is an apolipoprotein that gets overexpressed by a 1000-fold during the acute phase response, making it a useful clinical biomarker of inflammation. SAA is normally bound to high-density lipoprotein (HDL) in the serum and helps orchestrate the innate immune response and affects lipid transport. In patients with long-term inflammation such as rheumatoid arthritis, obesity, Crohn’s disease, or long-covid, misfolding and fibrilization of SAA becomes a major risk. Misfolding of SAA causes AA Amyloidosis, a secondary disease state in which organ failure is caused by the extracellular deposition of cytotoxic fibrils that are composed of fragments or intact SAA protein. The molecular mechanisms and in vivo conditions that trigger SAA’s misfolding from an alpha helical to a beta sheet amyloid assembly during chronic inflammation are largely unknown. The structure of SAA in the HDL-bound form or the lipid-free form has never been studied in solution. This thesis aims to identify key structural features between lipid-bound and lipid-free SAA and to examine the conditions that trigger SAA Amyloidosis. First, the structure of SAA was studied in solution for the first time using techniques such as SAXS, TEM, CD, and SEC-MALS. A novel octameric lipid-free SAA was found that has similar dimensions as lipid-bound SAA nanodiscs. The solution structures of SAA allow us to better understand the formation of the lipid-bound state and suggests that relatively few conformational rearrangements may be required to allow SAA interactions with lipid-containing particles such as HDL. Next, two novel conditions were discovered which led to SAA amyloids: 1) interaction of lipid-bound SAA with physiologically relevant concentrations of calcium cations and 2) binding of an amyloidogenic peptide 54SFYVYSRVK62 or SK9 from SARS-CoV-2 envelope protein. These results highlight the importance of lipid interaction with the amyloidogenic core sequence of SAA in preventing it from self-assembly into amyloid. Factors such as viral peptides containing amyloidogenic core sequences or lipid-cation interactions can lead to the destabilization of the SAA native fold, promoting misfolding and subsequent formation of proto-fibrillar oligomers and amyloid fibrils. Understanding the structural dynamics and triggers of SAA misfolding into amyloid fibrils sheds light on potential therapeutic targets for preventing SAA amyloidosis in chronic inflammatory conditions, offering new avenues for intervention in related diseases.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.281
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes2
Has abstractyes

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