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Letter to the Editor re Mani et al.

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

Bibliographic record

VenueBritish Journal of Pharmacology · 2011
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsUniversity of Calgary
FundersBritish Heart Foundation
KeywordsPotassium channelVascular smooth muscleInternal medicineMyocyteContractilityMedicineChemistryEndocrinologyNeuroscienceCardiologyBiologySmooth muscle

Abstract

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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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0030.001
Research integrity0.0190.020
Insufficient payload (model declined to judge)0.0110.013

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.

Opus teacher head0.017
GPT teacher head0.277
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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