The Impact of Different Implantation Sites and Sex on the Differentiation of Human Pancreatic Endoderm Cells Into Insulin-Secreting Cells In Vivo
Bibliographic record
Abstract
Few studies have examined the differentiation of human embryonic stem cell (hESC)-derived pancreatic endoderm cells (PECs) in different implantation sites. Here, we investigate the influence of implantation site and recipient sex on the differentiation of hESC-derived PECs in vivo. Male and female mice were implanted with 5 × 106 hESC-derived PECs under the kidney capsule, in the gonadal fat pad, or subcutaneously within macroencapsulation (TheraCyte) devices. PECs implanted within TheraCyte devices developed glucose-stimulated human C-peptide secretion faster than cells implanted under the kidney capsule or in the gonadal fat pad. Interestingly, hESC-derived PECs implanted under the kidney capsule in females developed glucose-stimulated human C-peptide faster than in males and secreted higher levels of arginine-stimulated glucagon and glucagon-like peptide 1 than other implantation sites. Furthermore, hESC-derived grafts collected from the kidney capsule and gonadal fat pad sites displayed a mix of endocrine and ductal cells as well as contained cysts, whereas TheraCyte device grafts displayed mostly endocrine cells and cysts were not observed. Here we demonstrate that the macroencapsulated subcutaneous site and the female recipient can promote faster differentiation of hESC-derived PECs to endocrine cells in mice. ARTICLE HIGHLIGHTS: Few studies have directly compared the differentiation of human embryonic stem cell-derived progenitors in different implantation sites in male and female recipients. We investigated whether the site of implantation and/or the sex of the recipient influenced the differentiation of pancreatic progenitors in vivo in mice. Mice implanted with cells in macroencapsulation devices contained fewer off-target structures and developed stimulated insulin release faster than other implant sites, while females implanted with cells under the kidney capsule developed stimulated insulin release before males. Macroencapsulation devices reduced the formation of off-target cells from human embryonic stem cell-derived progenitors, a useful characteristic for clinical applications.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".