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AT1R Antibody Assessment

2018· article· en· W2883167757 on OpenAlexaffabout
Anne Halpin, Sally Abou-Zeki, I. Larsen, Patricia Campbell, Simon Urschel, Bruce Motyka, Lori J. West

Bibliographic record

VenueTransplantation · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsCNIB FoundationUniversity of Alberta
Fundersnot available
KeywordsAntibodyMedicineImmunology

Abstract

fetched live from OpenAlex

Introduction The angiotensin II type 1 receptor (AT1R) is a G-protein-coupled receptor that is expressed on vascular endothelium. It can signal cell growth and proliferation, fibrosis, and vascular remodeling. AT1R antibodies are being increasingly studied to examine their relevance in transplantation. The frequency and impact of AT1R antibodies in pediatric heart transplantation has not been well studied. Our aim is to measure the frequency of AT1R antibodies in this patient population as well as pediatric controls and to assess for non-specific reactivity in this assay. Methods We included 42 patients (n=154 samples) for whom pre- and post-transplant sera and HLA antibody data were available. AT1R antibody levels were measured by a commercially available ELISA test (distributed by One Lambda ThermoFisher). Samples were tested/interpreted as per product insert. Results were negative under 10 U/mL and positive over 17 U/mL. Age-matched, sex-balanced, non-transplant controls (n=27) were collected from the local cardiac-catheterization laboratory. A subset of samples with positive results (n=52 sera from 20 patients) as well as the assay’s positive control were re-tested following adsorption with Adsorb Out (One Lambda ThermoFisher.). Figure 1 details the samples and testing methodology. Analysis was performed using GraphPad.Results No significant difference was observed between patient and control AT1R antibody levels (Figure 2). Values over the test method upper threshold (40 U/mL) were detected in 38% of patient sera. Adsorbed sera had significantly decreased AT1R values vs non adsorbed sera (Figure 3A). There was no significant change from pre- to post-transplant AT1R antibody detected overall (Figures 3B and 3C). In the UN-adsorbed sera, 57% of the pre-transplant sera and 64% of the post-transplant sera tested positive for AT1R antibody; 58% and 78% were positive above the 40U/mL threshold, respectively. In contrast, In the ADSORBED sera, 21% of the pre-transplant sera and 15% of the post-transplant sera tested positive for AT1R antibody; 29% and 20% were positive above the 40U/mL threshold, respectively.Conclusion Pediatric heart transplant patients appear to yield false positive results in this AT1R assay. This problem may be overcome by adsorbing for non-specific reactivity. Non-specific binding is a known concern in immunoassays such as ELISA. Typically, controls are included in these assays such as a ‘no antigen’ well and/or absorption steps are performed. This assay is lacking an essential control that is required by clinical laboratory standards. The pediatric heart transplant population may have especially high levels of non-specific reactivity in immunoassays due to the high frequency of thymectomy and mechanical circulatory support. We are now investigating the association of adsorbed and non-adsorbed AT1R antibody to transplant outcomes. Canadian National Transplant Research Program (CNTRP). Edmonton Civic Employee’s Research Award.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.006

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 head0.005
GPT teacher head0.290
Teacher spread0.285 · 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".

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Citations2
Published2018
Admission routes2
Has abstractyes

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