Notice bibliographique
Résumé
The adult human central nervous system (CNS) is an exquisitely complex structure that has very limited capacity for repair and regeneration. However, recent developments in stem cell biology may change this. A number of preclinical studies have demonstrated that grafting neural precursor cells for CNS injury/disorder confers beneficial effects, can repair damaged neural tissue, and promote functional recovery.1-3 These promising results from stem cell transplantation work provide a strong rationale to pursue clinical trials using stem cells for pathological conditions in CNS.4,5 On the other hand, there is much debate regarding the safety of intraspinal injections for cell transplantation.6 Although previous studies have shown that intraspinal transplantation into the spinal cord does not cause substantial damage or permanent loss of locomotor function, the animals used in this research were rats, and the study did not specifically focus on the transplantation method itself.7 A recent study conducted transplantation of human neural precursor cells into the cervical spinal cord in pigs and examined injection volume and speed.8 The current article reported by Gutierrez et al9 extends the previous results, and precisely evaluates the effects of intraspinal injection by investigating differing numbers and volume of injections. They found that, although transient loss of motor function was observed soon after injection, complete functional recovery was achieved by 2 weeks even when injection volume and number were increased. However, histological analysis revealed tissue damage when up to 50 μL of cells were injected per site. In addition, increased numbers of cell injections showed a nonsignificant trend toward increased risk of tissue damage. These findings emphasize the importance of caution in deciding on the optimal injecting conditions for clinical trials, especially with regard to injection volume, number of sites, speed of delivery, and cell concentration. It is interesting that motor function fully recovered even though damage to the spinal cord tissue was obvious on histological analysis. Because detailed data regarding the measurement of sensory function were not reported in this study, it is possible that this damage may have contributed to the occurrence of allodynia. Allodynia is associated with increased calcitonin gene-related peptide-immunoreactive sensory axons in dorsal horn.10 Higher expression of glial fibrillary acidic protein in transplanted cells is a contributory cause of neuropathic pain.10 Future study with detailed histological analysis will contribute to the validation of a safety protocol for these procedures. In terms of clinical relevance, it will be important, in future research, to track the injected cells and recipient tissues in live animals, with the use of imaging systems such as magnetic resonance imaging. Disclosure The authors have no personal, financial, or institutional interest in any of the drugs, materials, or devices described in this article.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,082 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,013 | 0,006 |
| Communication savante | 0,013 | 0,006 |
| Science ouverte | 0,006 | 0,006 |
| Intégrité de la recherche | 0,171 | 0,083 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,018 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».