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P.18: Transformation of adipose-derived mesenchymal stem cells into parathyroid hormone secreting cells.

2025· article· en· W4415345868 on OpenAlexaffabout
Jeongwoo Kim, Andrew Poholka, Brett Wickware, Daxter Cornand, Gina R. Rayat, David Williams

Bibliographic record

VenueTransplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMesenchymal stem cellParathyroid hormoneTransformation (genetics)Neoplastic transformationHormoneStem cellStem cell transplantation for articular cartilage repair

Abstract

fetched live from OpenAlex

Introduction: Normal parathyroid glands, measuring 3–5 millimeters, and their vasculature can be excised or damaged during neck surgeries. Such damage can lead to post-surgical permanent hypoparathyroidism (hypoPT), a condition characterized by insufficient secretion of parathyroid hormone (PTH). PTH is crucial for maintaining calcium homeostasis in the body. Patients with permanent hypoPT suffer from a decreased quality of life and are typically managed with lifelong calcium and calcitriol (active vitamin D) supplementation, which requires constant monitoring and dose adjustment. Incorrect dosing increases the risk of hypercalciuria, kidney stones, and in severe cases, renal failure. Alternative treatments, such as allotransplantation, face challenges of immune-mediated rejection and immunosuppressive drug toxicities, while autotransplantation requires advanced surgical expertise and is limited to well-equipped healthcare systems. TransCon PTH, an FDA-approved recombinant hormone therapy, presents risks of hypercalcemia and a potential risk of osteosarcoma, as observed in animal studies with long-term high-dose administration of this hormone. In this study, we address current treatment limitations for hypoPT by developing a method of transforming adipose-derived mesenchymal stem cells into PTH secreting cells. Methods: Porcine adipose-derived mesenchymal stem cells were isolated and characterized by tri-lineage assays and flow cytometry before transforming into PTH secreting cells in media supplemented with 100 ng/mL of Sonic Hedgehog and Activin A for 21 days. PTH gene and protein levels in transformed cells was confirmed using reverse transcription quantitative polymerase chain reaction (RT-qPCR), immunohistochemistry (IHC) and enzyme-linked immunosorbent assay (ELISA), respectively. The gene and protein levels of calcium-sensing receptor (CaSR) was also validated through IHC and RT-qPCR. Results: PTH and CaSR gene expression in transformed cells were confirmed by RT-qPCR with ΔCt values of 7.96 and 8.84 respectively. PTH and CaSR proteins presence was validated through IHC staining in transformed cells. ELISA showed the presence of secreted PTH proteins in the culture media by the transformed cells. There were no significant (p = 0.82) differences in the amount of PTH levels detected between 5, 9, 15, and 21 days of transformation. Conclusion: Our findings demonstrate that porcine adipose-derived mesenchymal stem cells can be successfully differentiated into PTH secreting cells using our method. This study supports the foundation for a cell-based therapy for hypoparathyroidism. Ongoing work focuses on evaluating the dynamic function of PTH secretion in response to different calcium concentrations. Future work includes adopting our method using human adipose-derived mesenchymal stem cells and developing a hypoPT animal model to test the function of the transformed cells in vivo.University of Alberta Hospital Foundation. Edmonton Civic Employees Charitable Assistance Fund.

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)0.000
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.023
GPT teacher head0.296
Teacher spread0.273 · 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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Citations0
Published2025
Admission routes2
Has abstractyes

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