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Enregistrement W1557471244 · doi:10.1111/j.1476-5381.2011.01454.x

Letter to the Editor re Mani et al.

2011· letter· en· W1557471244 sur OpenAlexaff
Preet S. Chadha, Iain A. Greenwood, Xi Zhong, William C. Cole

Notice bibliographique

RevueBritish Journal of Pharmacology · 2011
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueIon channel regulation and function
Établissements canadiensUniversity of Calgary
Organismes subventionnairesBritish Heart Foundation
Mots-clésPotassium channelVascular smooth muscleInternal medicineMyocyteContractilityMedicineChemistryEndocrinologyNeuroscienceCardiologyBiologySmooth muscle

Résumé

récupéré en direct d'OpenAlex

To the Editor: We have read with interest the recent article published by the British Journal of Pharmacology entitled ‘Activation of vascular KCNQ (Kv7) potassium channels reverses spasmogen-induced constrictor responses in rat basilar artery’ (Mani et al., 2011). The study adds to a mounting body of evidence suggesting a pivotal role for KCNQ (Kv7) channels in regulating vascular tone and more particularly cerebral blood flow. Mani et al. (2011) showed that a known Kv7 activator flupirtine, as well as celecoxib, a type 2 cyclooxygenase -specific inhibitor clinically used as an anti-inflammatory that has recently been shown to also stimulate Kv7 channels (Brueggemann et al., 2009), relaxed 5HT-contracted basilar arteries and increased voltage-gated potassium currents in isolated myocytes. Due to the relative infancy of the vascular KCNQ field, it is important that previous literature on this topic is adequately represented. Since the initial discovery in mouse portal vein myocytes (Ohya et al., 2003), KCNQ gene expression has been described in range of rodent blood vessels including portal vein, aorta, carotid, pulmonary and mesenteric arteries (Yeung et al., 2007; Mackie et al., 2008; Joshi et al., 2009; Zhong et al., 2010a) as well as human blood vessels (Ng et al., 2011) where products of KCNQ1, KCNQ4 and KCNQ5 predominate. In addition, a functional role for Kv7 channels in controlling vascular tone development has been identified using Kv7 channel blockers, which inhibit endogenous K+ currents, depolarize vascular smooth muscle and increase contractility (Yeung and Greenwood, 2005; Mackie et al., 2008; Joshi et al., 2009; Zhong et al., 2010a; Ng et al., 2011). This has been corroborated by the observation that agents such as the anticonvulsant retigabine, acrylamide S-1 and maxiprost, which activate Kv7.2–7.5 in overexpression systems, also enhance endogenous K+ in various vascular myocytes (Mackie et al., 2008; Yeung et al., 2008; Joshi et al., 2009; Zhong et al., 2010a) and relax pre-contracted vessels (Yeung et al., 2007; Mackie et al., 2008; Yeung et al., 2008; Joshi et al., 2009; Zhong et al., 2010a; Ng et al., 2011). Hence, the work by Mani et al. (2011) represents an addition to the burgeoning data showing Kv7 channels to be key regulators of vascular tone. Much of the basilar artery data presented in Mani et al. confirm the observations made by Zhong et al. (2010a) who utilized extensive q-PCR, immunocytochemistry, isobaric myography and single-cell electrophysiology to characterise the importance of KCNQ channels in the rat middle cerebral artery. The impact of both sets of data is considerably enhanced when the reader fully appreciates that KCNQ channels contribute to control of contraction in conduit and myogenic resistance cerebral vessels and represent an important potential therapeutic target for the treatment of vascular disease. However, one note of caution raised by Zhong et al. (2010a) was ignored by Mani et al. (2011). Similar to previous studies on various vascular smooth muscles (Yeung and Greenwood, 2005; Yeung et al., 2007; Mackie et al., 2008; Joshi et al., 2009), Panels A and B of figure 3 in Mani et al. (2011) show that 10 µM XE991 evoked depolarization of isolated basilar arterial myocyte artery and constriction of intact basilar arteries. The authors concluded that this may be attributed to the inhibition of Kv7 channels. However, Zhong et al. (2010a) showed that XE991 completely suppressed native Kv currents of rat middle cerebral arterial myocytes and inhibited heterologously expressed Kv1.2/ Kv1.5 and Kv2.1/ Kv9.3 channels that also contribute to the native Kv current and control of membrane potential in these cells (Albarwani et al., 2003; Chen et al., 2006; Zhong et al., 2010b). Thus, while XE991 is an effective blocker of KCNQ-encoded K+ channels, caution should be exercised in the interpretation of experiments employing this agent, as it may have additional effects beyond specific blockade of Kv7 channels. This letter should not be viewed as a negative comment on the data in Mani et al. who have contributed significantly to this nascent research field. On the contrary, we hope it emphasizes the perspective in which the article resides and provides further sources of information for this important and emerging aspect of vascular biology.

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)0,003
score de la tête « metaresearch » (Gemma)0,025
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: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,025
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0040,004
Science ouverte0,0030,001
Intégrité de la recherche0,0190,020
Charge utile insuffisante (le modèle a refusé de juger)0,0110,013

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 Opus0,017
Tête enseignante GPT0,277
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'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2011
Routes d'admission1
Résumé présentoui

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