MétaCan
Menu
Back to cohort
Record W2086641526 · doi:10.2174/157016310793180611

Human Kallikrein 6 Cerebrospinal Levels are Elevated in Multiple Sclerosis

2010· article· en· W2086641526 on OpenAlexaff
Andrea L.O. Hebb, Virender Bhan, Alexander D. Wishart, Craig S. Moore, George S. Robertson

Bibliographic record

VenueCurrent Drug Discovery Technologies · 2010
Typearticle
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCerebrospinal fluidMultiple sclerosisKallikreinMedicineCentral nervous systemPathologyEncephalomyelitisHuman brainImmunologyInternal medicineBiologyEnzymeBiochemistry

Abstract

fetched live from OpenAlex

The protease, human kallikrein-related peptidase 6 (hK6) is derived from activated macrophages in the central nervous system (CNS) and may contribute to pathology observed in multiple sclerosis (MS). In the present study, we compared serum and cerebrospinal fluid (CSF) protein concentrations of human kallikrein-related peptidase 6 derived from neurological controls and patients diagnosed with advanced multiple sclerotic disease. Mean serum levels of human kallikrein-related peptidase 6 were similar in neurological controls and patients diagnosed with relapsing-remitting (RR), secondary progressive (SP) and primary progressive (PP) multiple sclerosis with mean levels ranging from 3.5 to 3.75 ng/ml. Patients diagnosed with advanced multiple sclerosis showed mean CSF levels (29 ng/ml) that were significantly higher than neurological controls (25.5 ng/ml). Determining CSF concentrations of human kallikrein-related peptidase 6 may therefore have diagnostic value in MS. Keywords: hK6, serum, CSF, RRMS, SPMS, PPMS, human kallikrein-related peptidase 6, central nervous system, cerebrospinal fluid, protease, inflammatory lesions, encephalomyelitis, ELISA, Tetramethylbenzidine, Alzheimer's disease, EDSS

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.068
GPT teacher head0.297
Teacher spread0.229 · 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 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

Citations28
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Drug Discovery TechnologiesSame topicCoagulation, Bradykinin, Polyphosphates, and AngioedemaFrench-language works237,207