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Enregistrement W2002138078 · doi:10.1097/tp.0b013e318173a47f

Yet Another Role for Mesenchmyal Stem Cells?

2008· review· en· W2002138078 sur OpenAlexaboutno aff
Philip N. Newsome

Notice bibliographique

RevueTransplantation · 2008
Typereview
Langueen
DomaineMedicine
ThématiqueErythropoietin and Anemia Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineKidney diseaseAnemiaDialysisCohortRenal functionErythropoietinRenal replacement therapyPopulationTransplantationInternal medicineIntensive care medicinePeritoneal dialysisQuality of life (healthcare)Pediatrics

Résumé

récupéré en direct d'OpenAlex

With an aging population the number of patients receiving renal replacement therapy in the United Kingdom is rising rapidly and is unlikely to reach steady state for another 25 years (1). Although end-stage renal failure is relatively rare, treatment with dialysis or transplantation is very expensive, and presently accounts for more than 2% of the total NHS budget. The importance of anemia in chronic kidney disease (CKD) has been increasingly recognized since the introduction of erythropoietin therapy in the 1980s. The Kidney Disease Outcomes Quality Initiative guidelines of the National Kidney Foundation define anemia in CKD as a hemoglobin concentration of less than 11 g/dL in premenopausal females and prepubertal patients, and less than 12 g/dL in adult males and postmenopausal females. Data from a Canadian cohort demonstrate that anemia is common in this cohort, being present in approximately 25% of patients with CKD whose glomerular filtration rate is more than 50 mL/min/1.73 m2, 44% between 35 and 49 mL/min/1.73 m2, 51% between 25 and 34 mL/min/1.73 m2, and 87% below 25 mL/min/1.73 m2 (2). The importance of treating anemia is highlighted by the adverse consequences both for the individual patient and for the healthcare system ranging from effects on quality of life, cognitive function and libido through to increased mortality and morbidity with its associated economic burden. There is a strong association between anemia and cardiovascular disease, with one of the earliest manifestations of heart disease in anemic CKD patients being left ventricular hypertrophy. Analysis of patients in the Studies Of Left Ventricular Dysfunction trial found that anemia and CKD were independent risk factors for mortality among patients with heart failure caused by left ventricular dysfunction (3). In the United Kingdom, there are 6000 deaths per year caused by heart failure associated with cardiovascular disease and the annual mortality for those with heart failure ranges from 10% to more than 50%. Anemia in CKD is caused by a relative deficiency of erythropoietin (EPO), although it is important to exclude other treatable causes of anemia. Although there are several commercially available EPOs: epoetin alfa, epoetin beta, and darbepoetin alfa, they are costly and associated with possible complications such as pure red cell aplasia caused by anti-EPO antibodies, which can result from exogenous administration. In this edition of Transplantation, Yokoo et al. have demonstrated that they are able to transplant human mesenchymal stem cells (hMSC)-derived organoids, with a morphology and function similar to kidney, into rodents with renal injury which are then able to respond to appropriate physiological cues (anemia) and produce EPO. Specifically, these organoids respond to the induction of anemia by producing appropriate additional EPO which they show shortens the time to restoration of hemoglobin. Mesenchymal stem cells are a poorly defined population of cells most commonly found in bone marrow, although they also reside in adipose tissue. They are not readily isolated on the basis of cell surface expression, and are usually isolated by their ability to adhere to plastic (4). Their identity is subsequently confirmed by their ability to differentiate down chondrocytic and adipocytic lineages. Prolonged passaging of MSCs in culture can result in a change phenotypically and potentially also functionally, and it would be important therefore to specify a maximal passage number within which MSCs will be used. MSCs can be seen therefore to comprise a fairly heterogeneous population, and although they may offer exciting therapeutic possibilities there are significant issues to be overcome in terms of defining and isolating a more homogeneous population of cells. In this study the hMSCs require adenoviral transfection with Glial cell-derived neurotrophic factor to ensure they develop into kidney-like organoids, and so there is still an element of manipulation which may raise concerns about translation into clinical practice. Ideally, the adoption of a kidney phenotype should be performed without a need for transfection. Nevertheless, once transplanted they seem to retain the ability to function physiologically, only releasing EPO when required rather than producing it constitutively. Of note, the model used is an acute model rather than the chronic variety seen in clinical practice, and it would be important to ascertain that the organoids functioned in a similar fashion in that setting. As with many small animal models the challenge will be to successfully scale it up in larger animal models, before human use could be contemplated. It is interesting that the hMSC derived organoids are tolerated by the immune system after omental transplantation, and it would be important to explore the mechanisms underpinning this, and assessing how durable this immunotolerance is. Will episodes such as sepsis or administration of tumor necrosis factor α/interferon which result in immune activation trigger rejection of the organoids? Of note, MSCs have well reported immunomodulatory functions which may in part account for their immune tolerance (5). It would be worthwhile establishing if there is a population of undifferentiated hMSCs within the organoids which are facilitating this immune privilege. The approach by Yokoo et al. offers hope for the future, and once issues relating to longevity of efficacy and immunotolerance in larger models are resolved we can look forward to novel therapeutic approaches for patients with CRF.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,042

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,003
Communication savante0,0030,003
Science ouverte0,0010,002
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0130,003

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.

Tête enseignante Opus0,049
Tête enseignante GPT0,325
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2008
Routes d'admission1
Résumé présentoui

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