A potency and toxicology study on tolerability of cryopreserved mesenchymal stem cell product with DMSO in septic mice and nude rats
Bibliographic record
Abstract
Mesenchymal stem/stromal cell (MSC)-based therapies have emerged as a promising treatment for sepsis, supported by encouraging preclinical data. DMSO has been a widely used cryoprotectant in cell-based therapeutic products; however, whether DMSO may cause adverse effects when used for acute critical illness is unclear. This study aimed to assess the impact of DMSO on MSCs and on outcomes in animal models. Cryopreserved MSCs containing 10% DMSO were thawed, washed (Washed MSCs) to remove DMSO, or diluted to 5% DMSO (Diluted MSCs) and evaluated for key quality parameters. Diluted MSCs had significantly higher cell recovery, while viabilities for both MSCs were similar up to 24 h. At 6 h, a higher proportion of early apoptotic cells was observed in Washed MSCs. The potencies of both Washed MSCs and Diluted MSCs were equivalent in rescuing LPS-induced suppression of monocytic phagocytosis. The toxicology study showed that when 5% DMSO-containing MSCs were administered in mice with polymicrobial sepsis, no DMSO-related effects were observed on mortality, body weight loss, body temperature, or organ injury markers. Moreover, no toxicity was detected in nude rats after administration of 5% DMSO-containing MSCs. Altogether, this study demonstrated that cryopreserved MSCs with DMSO did not cause any detectable impairment in animals.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".