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Record W4415450581 · doi:10.1210/jendso/bvaf149.255

MON-500 Adrenal Bioprinted Tissue Therapeutics Restore Function in Murine Models of Primary Adrenal Insufficiency

2025· article· en· W4415450581 on OpenAlexaff
H. S. Soliman, Zainab Bazzi, Oksana Nemirovsky, Sarah Keshvani, Neal Chan, Shim Gicole, Reza B. Jalili, Sam Wadsworth, Chris R. Dickman

Bibliographic record

VenueJournal of the Endocrine Society · 2025
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsPositive Living Society of British Columbia
Fundersnot available
KeywordsPrimary Adrenal InsufficiencyHormoneAdrenal insufficiencyAdrenal functionImmune systemAdrenocorticotrophic hormoneSteroid hormoneAdrenal gland

Abstract

fetched live from OpenAlex

Abstract Disclosure: H. Soliman: None. Z.A. Bazzi: None. O. Nemirovsky: None. S. Keshvani: None. C. Song: None. N.A. Chan: None. S. Gicole: None. R.B. Jalili: None. S. Wadsworth: None. C.T. Dickman: None. Primary adrenal insufficiency, caused by either autoimmune Addison’s disease or congenital adrenal hyperplasia, is a life-threatening condition that requires lifelong adrenal hormone replacement. Current hormone replacement therapies have a high treatment burden and fail to mimic the natural circadian rhythms of hormone secretion. Transplanting functional adrenal cells has the potential to restore the natural hypothalamic-pituitary-adrenal (HPA) axis feedback loop, enabling dynamic hormonal regulation that mimics physiological function rather than relying on fixed-dose steroid replacement. An allogeneic cell therapy that achieves this without the need for chronic immune suppression could be a breakthrough in the treatment of primary adrenal insufficiency. Adrenal Bioprinted Tissue Therapeutics (BTTs) were developed using primary human adrenocortical cells with Aspect Biosystems’ full-stack tissue therapeutic platform, which incorporates proprietary bioprinting technology. These cells were encapsulated in a cell-supporting biomaterial with an immunoprotective outer shell. In vitro assessment of these BTTs indicated that the encapsulated adrenal cells were viable for extended durations and able to sense exogenously administered adrenocorticotrophic hormone (ACTH) and respond by releasing cortisol. Implantation of these xenogeneic adrenal BTTs in adrenalectomized mice led to a dose-dependent, rapid, marked, and sustained responsive elevation of plasma cortisol and reduction in plasma ACTH, as well as an increase in survival. There was a robust response to exogenously administered ACTH resulting in a significant increase in plasma cortisol in mice implanted with adrenal BTTs. ACTH responsive cortisol secretion was observed through study end at six months. To assess whether implanted adrenal BTTs respond to physiological circadian fluctuations in endogenous mouse ACTH levels, plasma cortisol and ACTH were measured mornings and evenings and showed that plasma cortisol levels followed the same secretion pattern as endogenous ACTH in the adrenalectomized mice, indicating responsiveness of the implanted BTTs to physiological fluctuations in ACTH. Adrenal BTTs retrieved from mice at termination after six months demonstrated high viability and remained responsive to in vitro incubation with ACTH. These results indicate that Aspect Biosystems’ adrenal BTTs can restore precise ACTH responsive adrenal function with appropriate circadian rhythm in in vivo models of primary adrenal insufficiency. Such an approach could revolutionize therapy for patients with primary adrenal insufficiency. Presentation: Monday, July 14, 2025

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.276
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 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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