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Enregistrement W3213209173 · doi:10.1182/blood-2021-154364

Comparing Exercise-Induced Musculoskeletal Bleeding in Murine Models of Hemophilia A and B

2021· article· en· W3213209173 sur OpenAlexaff
Paul T. M. Tieu, Anthony K.C. Chan, Peter L. Gross, Davide Matino

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueHemophilia Treatment and Research
Établissements canadiensMcMaster UniversityThrombosis and Atherosclerosis Research Institute
Organismes subventionnairesnon disponible
Mots-clésMedicineHemarthrosisComplicationCoagulopathyTreadmillSurgeryHaemophiliaInternal medicinePhysical therapy

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Hemophilia A and B are recessive X-linked bleeding disorders characterized by the deficiency in coagulation factor VIII and factor IX. Patients with the severe form of the disease can experience bleeding into the joints and muscle either spontaneously or after provoking events including sporting injuries of different degree. Patients are prone to bleeding in the musculoskeletal system. While most research is focused on hemarthrosis, muscle hematomas are not well studied although being the second most common complication of hemophilia, accounting for 10-25% of diagnosed bleeding episodes. There is limited consensus regarding optimal diagnosis and treatment of muscle hematomas in patients with hemophilia. We are investigating the effect of physical activity on muscle and joint bleeds in mouse models of hemophilia. Aim: The objective of this study was to compare the severity of exercise-induced skeletal bleedings in two mouse models of hemophilia A and B. Methods: Hemophiliac F8-KO and F9-KO mice, aged from 8-12 weeks old, were subjected to either mild or moderate daily treadmill exercise for 5 days. The speed was set at 10 meters per minute for the mild intensity group and 15 meters per minute for the moderate intensity group; and the animals were exercised for 30 minutes daily. Mechanical stimulus with a brush was used to encourage the animals to run. Animals were monitored daily and on day 6 (24 hours after the treadmill exercise) the animals were sacrificed to assess bleeding events. The mice skin was carefully removed and the body was macroscopically evaluated for presence of bleeds. If muscle bleedings were present, they were assigned a score in accordance with a previously published protocol (Tranholm M et al., JTH 2015 Jan;13(1):82-91) with minor modifications. Results: The animals were closely monitored during the study periods, and all completed the study. Normal behaviour and appearances were observed. No external bleeding was recorded. No muscle hematoma was observed in the wild-type C57-strain, thus the group received the bleeding score of 0. For the mild exercise group, the mean muscle bleeding score of F8-KO strain was 5.50 (standard error = 2.81), while the mean muscle bleeding score of F9-KO strain was 1 (standard error: 2). The two-tailed P value between the hemophilia A and B group was significant (p<0.01). For the moderate exercise group, the mean muscle bleeding score of F8-KO strain was 4.667 (standard error = 3.51), while the mean muscle bleeding score of F9-KO strain was 2.8 (standard error = 2.86). The two-tailed P value between the hemophilia A and B group was 0.33. Discussions: The preliminary analysis of our data showed that musculoskeletal bleeding induced by exercise appears to be more severe in hemophilia A mice than hemophilia B. This is in accordance with previous observations that hemophilia B may be clinically milder than hemophilia A. In our study, there appears to be a more significant difference between the hemophilia A and B mice when the mice were subject to milder form of exercise. No statistical significance was found between the two groups when moderate exercise was given. Overall, this exercise model can be a useful tool to study the pathophysiology of musculoskeletal bleeding as well as to evaluate new therapeutic strategies in the prevention and management of muscle hematomas in hemophilia. Figure 1 Figure 1. Disclosures Gross: Leo Pharma: Honoraria; Bayer: Honoraria; BMS-Pfizer: Honoraria; Valeo: Honoraria. Matino: Bayer: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Pfizer: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Novo Nordisk: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Sanofi: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Spark: Other: research grants; Octopharma: Membership on an entity's Board of Directors or advisory committees, Other: research grants and personal fees; Sobi: Membership on an entity's Board of Directors or advisory committees, Other: personal fees.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,050
Tête enseignante GPT0,311
Écart entre enseignants0,261 · 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'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

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
Publié2021
Routes d'admission1
Résumé présentoui

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