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Record W2794931817 · doi:10.1111/andr.12484

Sertoli cells for cell transplantation: pre‐clinical studies and future perspectives

2018· review· en· W2794931817 on OpenAlexaff
Giovanni Luca, Iva Arato, Guglielmo Sorci, D. F. Cameron, Bruce C. Hansen, Tiziano Baroni, Rosario Donato, David G. White, Riccardo Calafiore

Bibliographic record

VenueAndrology · 2018
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsWestern University
FundersAssociation Française contre les Myopathies
KeywordsSertoli cellTransplantationBiologyMedicineCell biologyInternal medicineSpermatogenesis

Abstract

fetched live from OpenAlex

Sertoli cells are located in the testes where they control several key functions in spermatogenesis. Over the past 30 years, Sertoli cells have been upgraded from a simple scaffold-like structural system to a dynamic functional system of intercellular support that delivers potent immunomodulatory and trophic factors. Since the discovery of new Sertoli cell secretory products, these cells have been utilized in experimental cell transplantation and co-transplantation protocols aimed at treating both chronic inflammatory and degenerative disorders. For these reasons, this work reviews the application of both naked and microencapsulated Sertoli cells used in cell transplantation studies of several chronic or autoimmune diseases such as diabetes mellitus, Laron dwarfism, and Duchenne muscular dystrophy and in studies aimed at the prevention of skin allograft rejection.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.003

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 head0.052
GPT teacher head0.393
Teacher spread0.341 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations56
Published2018
Admission routes1
Has abstractyes

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