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Record W4403149037 · doi:10.1210/jendso/bvae163.1821

9225 Reduced Alpha-1 Antitrypsin Activity Is Associated with Higher Plasma Free Cortisol and Increased Tissue Glucocorticoid Exposure in Humans in vivo

2024· article· en· W4403149037 on OpenAlexaff
Luke D Boyle, Mark Nixon, Caroline Underhill, Lesley A. Hill, Natalie Homer, Marisa Magennis, Ruth Andrew, Geoffrey L. Hammond, John G. Lewis, Roland H. Stimson, Brian R. Walker

Bibliographic record

VenueJournal of the Endocrine Society · 2024
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGlucocorticoidIn vivoAlpha (finance)EndocrinologyInternal medicineChemistryMedicineBiologySurgeryGenetics

Abstract

fetched live from OpenAlex

Abstract Disclosure: L.D. Boyle: None. M. Nixon: None. C.M. Underhill: None. L.A. Hill: None. N.Z. Homer: None. M. Magennis: None. R. Andrew: None. G.L. Hammond: None. J.G. Lewis: None. R.H. Stimson: None. B.R. Walker: None. Background Corticosteroid Binding Globulin (CBG) binds >85% of plasma cortisol, modulating its biological activity. Proteolytic cleavage by neutrophil elastase (NE) reduces CBG binding capacity, proposed to increase free cortisol availability to inflamed tissues. Genetic variation at the locus spanning SERPINA1 (encoding alpha-1 antitrypsin, AAT, the endogenous inhibitor of NE) and SERPINA6 (CBG) altered morning total plasma cortisol. We hypothesised that AAT deficiency increased CBG cleavage and hence free plasma cortisol, resulting in amplified tissue cortisol delivery and increased HPA axis negative feedback. We tested this in recall-by-genotype studies of people who are heterozygous for inactivating mutations in SERPINA1. Methods 16 asymptomatic carriers of deleterious SERPINA1 single nucleotide polymorphisms (rs17580 & rs28929474) and 16 age-, gender- and BMI-matched controls were recruited from the Generation Scotland Biobank. To quantify in vivo whole body glucocorticoid appearance and clearance rates, and estimate tissue cortisol uptake, we performed arterio-venous plasma sampling across abdominal adipose and skeletal muscle during steady-state 9,11,12,12-[2H]4-cortisol tracer infusion. To assess endogenous negative feedback, participants underwent combined receptor antagonist stimulation of the HPA axis (‘CRASH’) testing using RU486 and spironolactone, or placebo in a double blind randomised crossover design. Total cortisol (LC-MS/MS), free cortisol (isotopic dilution & ultrafiltration), CBG binding capacity (radioligand displacement), CBG concentration and AAT (ELISA) were measured in plasma. Tissue cortisol (LC-MS/MS) and glucocorticoid-dependent transcripts (qPCR) were measured in adipose biopsy samples collected at end of study. Results AAT was ∼30% lower in AAT+/- (p=0.0002 vs control). Plasma CBG concentration, binding capacity and total cortisol were similar between groups. However, plasma free cortisol fraction was higher in AAT+/- subjects (16.1 +/- 0.2 vs 13.9 +/- 0.04 %, p<0.0001). Adipose tissue from AAT+/- subjects displayed increased cortisol levels and increased glucocorticoid-responsive transcripts PER1 and LPL compared to controls. Consistent with release from CBG, total and free cortisol release across skeletal muscle was increased in AAT+/- subjects vs controls. The rate of appearance of 9,12,12-[2H]3-cortisol was reduced in AAT+/- (p=0.03 vs control), consistent with decreased whole body 11β-HSD1 activity. CRASH testing did not reveal additional differences between groups. Discussion Subclinical AAT deficiency is associated with a higher free cortisol fraction and increased tissue glucocorticoid exposure. Although consistent with the hypothesis of local tissue-mediated control of glucocorticoid exposure via the NE/AAT/CBG axis, these findings were not accompanied by measurable changes in CBG. Presentation: 6/3/2024

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.275
Teacher spread0.257 · 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 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 routes1
Has abstractyes

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