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Record W2550781685 · doi:10.1182/blood.v108.11.282.282

Cord Blood Mesenchymal Stem Cells for Acute Renal Failure Repair.

2006· article· en· W2550781685 on OpenAlexaboutno aff
Viviana Lo Cicero, Tiziana Montemurro, Marina Morigi, Daniela Corna, Lucilla Lecchi, Rosaria Giordano, Paolo Rebulla, Giuseppe Remuzzi, Lorenza Lazzari

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsnot available
Fundersnot available
KeywordsMesenchymal stem cellTransplantationMedicineStem cellRenal stem cellCord bloodAndrologyImmunologyBiologyPathologyProgenitor cellInternal medicineCell biology

Abstract

fetched live from OpenAlex

Abstract Introduction: Human cord blood (CB) represents an interesting source of mesenchymal stem cells (MSCs) with different cell “competence” and feasible clinical applications. Up to now patients affected by acute renal failure (ARF) are treated by unsuccessful pharmacological therapies and it is an interesting possibility that CB MSCs or other potential progenitor cell subpopulations could be used for therapeutic purpose in renal repair. Aim of this study was to isolate and culture MSCs from full-term UCB and to test their ability to promote renal repair when transplanted into NOD-SCID mice with acute renal failure. Methods: MSCs were isolated with a lineage-depletion negative immuno-selection procedure (Rosette Sep, StemCell Technologies, Vancouver, Canada) from buffy coat of CB (n=17) without lysis of red blood cells. Cell suspension was seeded at 1×106 cells/cm2, in 35mm/tissue culture dish in the presence of αMEM, 20 % FBS, 2mM L-Glutamine and Penicillin/Streptomycin. Immunophenotype was evaluated by flow cytometric analysis while the differentiation assays were performed towards adipogenic, osteogenic and chondrogenic lineages in order to confirm their mesenchymal features. To induce acute renal failure, NOD-SCID mice (n=10) were injected with cisplatin (12.7 mg/KG s.c.). This drug is associated with renal function deterioration, measured as serum blood urea nitrogen (BUN), peaking at day 4–5. After one day the mice received i.v. saline or 5×105 CB MSCs. Renal function and histology were evaluated. Results: The success rate of isolating MSCs from CB units was 17.6%. Flow cytometric analysis showed that MSCs were positive for CD44 (69%), CD105 (26%), CD90 (99%), HLA class I (80%) and negative for CD31, CD45, CD34, HLA class II. Moreover, within the CB MSCs we identified a subpopulation (37.5%) characterized by CD146+/34−/45− and consistent with perivascular/pericyte-like cells. Moreover we demonstrated and confirmed that CB MSCs were capable to differentiate in osteogenic and condrogenic but not adipogenic lineages, as recently shown also by other groups. In vitro differentiation towards epithelial lineage is in progress. In vivo results showed that CB MSCs significantly protected cisplatin-treated mice from renal function impairment at day 4 (BUN: cisplatin+saline 115±5 vs cisplatin+CB MSCs 64±13 mg/dl, p<0.01). Kidneys of mice at 4 days after cisplatin injection were examined histologically and assigned scores (0 to 3) for tubular cell degeneration changes, hyaline casts and cell lysis. Mice receiving CB MSCs exhibited lower degree of tubular injury compared to mice given saline (average score: CB MSCs 0.5, range from 0.3 to 1 vs cisplatin + saline, 1, range 0.7 to 1.3, p<0.047). Conclusion: These preliminary results indicate that human CB MSCs exhibit reparative potential in acute renal failure. More evidences demonstrating the plasticity of CB stem cells will provide an exciting opportunity to explore the use of this stem cell source in regenerative medicine for patients with renal disease.

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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0040.001

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 head0.021
GPT teacher head0.292
Teacher spread0.271 · 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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Citations1
Published2006
Admission routes1
Has abstractyes

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