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Record W2031242323 · doi:10.1113/jphysiol.2009.177261

Exercising an option to prevent age related decline of vascular BH<sub>4</sub> and uncoupling of eNOS

2009· letter· en· W2031242323 on OpenAlexaff
James W. E. Rush

Bibliographic record

VenueThe Journal of Physiology · 2009
Typeletter
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEnosTetrahydrobiopterinVasodilationInternal medicineVascular smooth muscleNitric oxideEndocrinologyAgeingBrachial arteryCardiologyEndotheliumSkeletal muscleMedicineNitric oxide synthaseBiologyBlood pressureSmooth muscle

Abstract

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It is well documented that skeletal muscle vascular conductance and endothelium-dependent vasodilatation are reduced with ageing. Studies utilizing isolated skeletal muscle arterioles reveal that age-related deficits involve, at least in part, alterations in the NO signalling pathway (Muller-Delp et al. 2002; Delp et al. 2008). Although manifold factors could contribute to age-related declines in NO-mediated function, recent studies highlight the potential importance of tetrahydrobiopterin (BH4), a nitric oxide synthase (NOS) cofactor. When BH4 is limited, eNOS can become uncoupled and produce superoxide instead of NO. Thus, BH4 is potentially of junctional importance in the link between NO, reactive oxygen species (ROS) and vascular function. In humans, a single oral dose of BH4 restored endothelium-dependent dilatation in the conduit brachial artery of sedentary older men (Eskurza et al. 2005). Furthermore, Delp et al. (2008) demonstrated that age-related declines in flow-mediated dilatation of rat soleus muscle arterioles resulted, at least in part, from limitations in availability of the eNOS cofactor tetrahydrobiopterin (BH4), and that administration of the BH4 precursor sepiapterin improved flow-induced dilatation in vessels from aged rats. These results collectively support the argument that interventions to preserve vascular BH4 may be a therapeutic option for age-related vascular dysfunction (Pierce & LaRocca, 2008). In the current issue of The Journal of Physiology, Sindler et al. proposed to determine if age-related declines in vascular BH4 were associated with eNOS uncoupling and ROS production, and whether these age-related changes could be reversed by a therapeutic exercise training intervention. Aerobic exercise training has previously been shown to blunt or eliminate age-dependent declines in NO-mediated endothelium-dependent dilatation and to improve skeletal muscle blood flow in a variety of models (Seals et al. 2008), and the study of Sindler et al. proposes to add novel understanding of the underlying mechanisms related to BH4. The approach is integrative, combining functional assessment of vasodilatation with biochemical measurements of BH4, NO and ROS production, all in isolated arterioles from the soleus muscle under a number of controlled pharmacological conditions. As expected, flow-mediated dilatation was impaired with ageing and restored by exercise training; novel observations point to potential underlying mechanisms: age-related reduction in BH4 occurred in conjunction with decline in flow-induced NO signalling, and increase in superoxide production (eNOS uncoupling); and exercise training prevented the age-related loss of BH4 and improved NO bio-availability by balancing accelerated NO and ROS production. These results extend the appreciation of oxidative stress impacting NO bio-availability and vasomotor function beyond the traditional, but insufficient, concept of NO destruction by ROS (Rush et al. 2005). The findings of the study of Sindler et al. are timely, reported roughly contemporaneously with identification of the need for pharmacological therapies directed toward a similar result, the restoration of BH4 in aged blood vessels. This creates a discovery environment in which potential pharmacological- and exercise-oriented approaches to the problem will undoubtedly co-evolve. The findings of Sindler et al. additionally serve as a progenitor for many hypotheses regarding BH4 in vascular adaptations to age and exercise. Fundamental questions raised include those related to identifying the cellular mechanisms accounting for age-related declines and exercise-related restoration of vascular BH4. In this regard, emerging data suggest that H2O2 is a regulatory factor controlling BH4 synthesis in vascular cells via induction of the enzyme GTP-cyclohydrolase I (GTPCH; Shimizu et al. 2003). The data of Sindler et al. indicate that H2O2 contributes to flow-induced dilatation of skeletal muscle arterioles of young sedentary animals and that, like the flow-induced dilatation functional response itself, this H2O2 signalling declines with age but is restored by exercise training. Is it possible that this same pattern of H2O2 signalling could contribute to maintenance of BH4 in young arterioles, its loss with age, and its restoration with exercise in aged arterioles, consistent with the indicated effect of H2O2 on GTPCH expression and BH4 synthesis? If so, H2O2 takes on another important role in the acute and chronic regulation of vascular function. A recurring theme in vascular biology is heterogeneity in phenotype and function depending on vessel type (conduit vs. resistance), location (vascular bed), and physiological circumstances (e.g. other conditions in vivo). While these considerations are in part cautionary regarding the global interpretation of the results of Sindler et al., they can more appropriately be seen as an invitation for additional studies designed to create a more integrative understanding of cellular mechanisms of vascular ageing and the therapeutic effects of exercise. The study of Sindler et al. creates a new paradigm justifying such an invitation with respect to BH4, vasomotor function and the regulation of skeletal muscle blood flow.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.266
Teacher spread0.253 · 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 designObservational
Domainnot available
GenreCommentary

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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Citations4
Published2009
Admission routes1
Has abstractyes

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