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Record W2079378336 · doi:10.2174/1874372200903010173

Lipid Rafts and Bullous Diseases

2009· article· en· W2079378336 on OpenAlexaff
Е. П. Зимина, Leena Bruckner‐Tuderman

Bibliographic record

VenueThe Open Dermatology Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsUniversity of Toronto
FundersDeutsche Forschungsgemeinschaft
KeywordsLipid raftHemidesmosomeEpidermolysis bullosaCell biologyIntegrinBasement membraneBiologyPathologyMedicineSignal transductionBiochemistryReceptor

Abstract

fetched live from OpenAlex

Multiple observations point to involvement of lipid membrane domains, known as lipid rafts, in the pathology of human disorders. The putative role of lipid rafts in hereditary and acquired skin blistering diseases is discussed in this review. Stable adhesion of the epidermis to the underlying basement membrane is secured by hemidesmosomes, specialized multiprotein complexes in basal keratinocytes. Loss of function of hemidesmosomal proteins due to inherited or acquired abnormalities result in weak dermal-epidermal adhesion and blistering of the skin. Lipid rafts regulate biological functions of two hemidesmosomal transmembrane components: collagen XVII and α6β4 integrin. Ectodomain shedding of collagen XVII is regulated by membrane lipid domains, suggesting involvement of lipid rafts in the pathogenesis of junctional epidermolysis bullosa, a genetic disease caused by mutations in the collagen XVII gene, and of bullous pemphigoid, an autoimmune disease with autoantibodies to this collagen. Similarly, adhesive and signaling functions of α6β4 integrin are modulated by lipid rafts, again linking lipid rafts to junctional epidermolysis bullosa. Therefore, modulation of lipid domains in the epidermis might have therapeutic potential for this group of skin blistering 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.012
GPT teacher head0.295
Teacher spread0.282 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2009
Admission routes1
Has abstractyes

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