MétaCan
Menu
Back to cohort
Record W4300447618 · doi:10.1002/term.1931

Oral Presentations

2014· article· en· W4300447618 on OpenAlexfundno aff

Bibliographic record

VenueJournal of Tissue Engineering and Regenerative Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsnot available
FundersEuropean Regional Development FundJapan Science and Technology AgencyJapan Society for the Promotion of ScienceNational Health and Medical Research CouncilResearch Executive AgencyMedical Center, University of PittsburghNational Institutes of HealthAdvanced Materials and Bioengineering ResearchMIT PortugalBiotechnology and Biological Sciences Research CouncilBerlin-Brandenburger Centrum für Regenerative TherapienInterregRegione Emilia-RomagnaUniversität ZürichEuropean Science FoundationTürkiye Bilimsel ve Teknolojik Araştırma KurumuNational Research Foundation of KoreaConsejo Nacional de Ciencia y TecnologíaFonds Wetenschappelijk OnderzoekFundação para a Ciência e a TecnologiaRegione LiguriaCurtin University of TechnologyUniversità degli Studi di FirenzeFondazione CariploFP7 Food, Agriculture and Fisheries, BiotechnologyMinistry of Education, Culture, Sports, Science and TechnologyMinistry of Education, Science and TechnologyBundesministerium für Bildung und ForschungRussian Foundation for Basic ResearchCanadian Institutes of Health ResearchUniversity of SouthamptonMinistry of Knowledge EconomyIrish Research CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNorth American Spine SocietyUniversity of GalwayAO FoundationEnterprise IrelandAuckland Medical Research FoundationVlaamse regeringNational Research Foundation SingaporeNational Institute for Health and Care ResearchNational Research FoundationNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftMylanRosetrees TrustEngineering and Physical Sciences Research CouncilUniversità di BolognaKocaeli ÜniversitesiEuropean CommissionFraunhofer-GesellschaftWellcome TrustCancer Research UKTokyo Medical and Dental UniversityBayerische ForschungsstiftungUniversity of PittsburghNational University of IrelandAlexander S. Onassis Public Benefit FoundationFP7 Research Potential of Convergence RegionsCollege of Engineering and Informatics, National University of Ireland, GalwayUniverzita Karlova v PrazeFP7 Nanosciences, Nanotechnologies, Materials and new Production TechnologiesDeutsches KrebsforschungszentrumFP7 HealthCenter of Excellence in Regulatory Science and InnovationImperial College LondonScience Foundation IrelandNational Science FoundationNewcastle UniversityNovartisUniversidad de AntioquiaVertex Pharmaceuticals
KeywordsCitationComputer scienceLibrary scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Introduction In the last decades, adipose tissue (AT) has attracted attention of the scientific and industrial communities for its high therapeutic potential. When focusing on the clinical translation of such type of cells, aspects such as Good Manufacturing Practices (GMP) compliance, scalability, reproducibility, and protocol validation must be ensured. Manufacturing of cells must warrant high quality concerning cell viability, cell yield immunophenotype, and absence of any microbial or pathological contamination. This project focused on the development of a complete manufacturing and cryopreservation process of therapeutic cells for human clinical delivery, ensuring all parameters and characteristics listed above. Materials and Methods The new protocol developed is particularly compact and ensures economies of scale when increasing the volume of processed AT, which reduces manufacturing cost. In this project 100-200g AT/human donor, obtained from liposuction or lipectomy procedures (n=15) were processed under GMP conditions. Stromal vascular fraction (SVF) isolation and cryopreservation was performed using xeno-free and GMP grade reagents. Cell number and viability, before and after cryopreservation, was determined by trypan blue exclusion dye by three operators. Immunophenotype of SVF subpopulations was evaluated by flow cytometry (FACSCanto and FACSDiva software) for the expression of mesenchymal, endothelial, hematopoietic and pericytic markers: CD31, CD34, CD45, CD73, CD90, CD105, CD146 and HLA-DR. Mesenchymal trilineage differentiation was performed to demonstrate potential of the isolated cells. Results The developed xeno-free cGMP procedure for isolation of clinical grade SVF cells resulted in a cell yield of 2.4x105 ±0.9 cells/g AT, and cell viability of 85.4%±7.1, which demonstrated differentiation into mesodermal lineages. After xeno-free cryopreservation cell viability was 80.0%±10.1. Regarding immunophenotype of SVF subpopulations (Fig.1), when considering mesenchymal markers co-expressed with CD341, 12%±5 of the cells presented the CD90+CD34+CD73+CD105+ phenotype, while 1.3%±0.8 of cells expressed concomitant mesenchymal markers in the absence of CD34. Regarding endothelial markers, 15%±6 of the cells are CD45-CD34+CD31+. Preliminary analysis of samples demonstrated no significant difference of phenotypic expression before and after xeno-free cryopreservation. Discussion and Conclusions To the best of our knowledge this project is pioneer in providing clinical grade cryopreserved hSVF, ensuring extremely high viability post-thaw, and maintenance of immunophenotypic characteristics of its sub-populations. This achievement is of great relevance for therapeutic use of adipose tissue regenerative cells. References 1 Scherberich A. et al. World J Stem Cells 5, 1, 2013; 2 Bourin P. et al. Cytotherapy. 0, 1, 2013.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.793
Threshold uncertainty score0.296

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7930.519

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 head0.016
GPT teacher head0.290
Teacher spread0.274 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Tissue Engineering and Regenerative MedicineSame topicTissue Engineering and Regenerative MedicineFrench-language works237,207