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Record W1509827704 · doi:10.5772/28998

Past and Future of Diagnosis and Therapy of Transmissible Spongiform Encephalopathy

2012· book-chapter· en· W1509827704 on OpenAlexafffund
Chih‐Yuan Tseng, Jack A. Tuszyński

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaAllard FoundationAlberta Cancer FoundationMinistry of Advanced Education, Government of Alberta
KeywordsTransmissible spongiform encephalopathyVirologyMedicineBovine spongiform encephalopathyIntensive care medicineInternal medicinePrion proteinDiseaseScrapie

Abstract

fetched live from OpenAlex

Transmissible spongiform encephalopathies (TSEs), also known as prion diseases, including Creutzfeldt-Jakob disease (CJD) in human, Bovine Spongiform Encephalopathy (BSE) in cow, and scrapie in sheep, represent diseases with complex and still poorly understood molecular mechanisms (Prusiner, 1998).The protein-only hypothesis postulates a possible pathogenic mechanism involving the prion protein.The helix rich normal prion protein (PrPC) is found to be infected by its -sheet rich abnormal proteinase K (PK)-resistant form, PrPSc, and is converted into PrPSc (Prusiner, 1998).This infection will lead to the aggregation of PrPSc-based amyloid fibrils that accumulate in the peripheral and invade to the central nervous system and damage neurons.In this chapter, we discuss current understanding of pathogenic mechanisms in this priononly hypothesis based disease in Section 2. This understanding then leads to the discussions of the past and present developments in both diagnosis and therapy for these diseases in Section 3. Based on the understanding of pathogenic mechanisms and current diagnosis and therapeutic strategies, we propose an alternative strategy.The proposal considers an aptamer-based theranostic approach to detect and prevent the aggregation of amyloid plaques in Section 4. Note that aptamer is defined as short nucleic acid sequences, and designed through Systematic Evolution of Ligands by EXponential enrichment (SELEX) (James, 2000).It is hoped that this proposal will open a novel research direction and eventually lead to a better diagnosis and treatment of prion diseases in the future. The infectivity of prion diseasesNumerous models have been developed to provide better understanding of the pathogenesis of the prion diseases.One of models advanced is the template-assistance model (Prusiner, 1998; Horiuchi & Caughy, 1999;Tompa et al., 2002).This model assumed that PrPC, which is normally more stable than PrPSc in isolation, would in the presence of PrPSc convert to the latter via a transient catalytic interaction with it.The implication is that a dimer of PrPSc's is energetically more stable than a system of non-interacting PrPC and PrPSc.This was supported by Morrissey and Shakhnovich's computational analyses (Morrissey & Shakhnovich, 1999).When there are other PrPSc's present, the initial www.intechopen.com

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.003

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 head0.235
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2012
Admission routes2
Has abstractyes

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