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Enregistrement W1989286660 · doi:10.1097/00005768-200405000-00001

Exercisenomics: A Wave of the Future?

2004· article· en· W1989286660 sur OpenAlexaboutno aff
T. W. Balon

Notice bibliographique

RevueMedicine & Science in Sports & Exercise · 2004
Typearticle
Langueen
DomaineMedicine
ThématiqueExercise and Physiological Responses
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWatsonClassicsMolecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic AcidHistoryGeneticsMedicineGenealogyGerontologyBiology

Résumé

récupéré en direct d'OpenAlex

The year 2003 marked the 50th anniversary of the dissemination of James Watson and Francis Crick’s discovery paper on the structure of deoxyribose nucleic acid (DNA). Coincidentally, the American College of Sports Medicine (ACSM) also began celebration of its “Golden Anniversary.” Do these landmarks have anything in common? Superficially, one may not associate any relationship between these two events. However, if one “free associates” or “thinks outside the box,” it is incontestable that these two milestones celebrate not only extraordinary achievements but also dramatic developments in the areas of genetics, immunology, and endocrinology and how they relate to health and disease, respectively. Watson and Crick’s discovery served as a preamble and impetus to subsequent molecular biology studies by others, which have attempted to explore the different spheres including those of genetic information, inflammation, and endocrinology. Oh, how the field of exercise genetics has evolved from the early work of Ernst Jokl and Joseph Wolffe in the early 1950s to the elegant studies of Claude Bouchard and others of today! At the most recent ACSM meeting and in the latest articles that have been published in Medicine & Science in Sports & Exercise® terms like polymorphism, transcription factors, deletion allele, and sequence variants are simply everyday vernacular in certain sessions and manuscripts relating to genetics. Would this terminology have confused those pioneers? At the turn of the 20th century, the renowned Canadian physician, Sir Willliam Osler viewed that a common cold could only be treated with contempt. However, a series of more recent studies have determined that certain exercise regimens may cause specific immunological responses and have potential effects on the incidence and frequency of respiratory distress associated with the common cold. Challenges wait on the new frontiers of exercise endocrinology. Not to be overlooked is the relatively recent identification of a family of hormone receptors known as peroxisome proliferator activated receptors or PPARS. The possibility of skeletal fiber type switching and substrate mobilization being modulated by factors such as nitric oxide, endogenous ligands, or novel hormones, which are released by exercise and subsequently bind to these receptors, causing a unknown cascade of signaling events to occur and a subsequent altered physiological status remains unknown. To keep at the “cutting edge of science,” exercise physiologists have taken the cue from scientists who do not use exercise as an intervention. Capitalization of different technologies such as gene arrays, production of phosphospecific antibodies, plate readers, and robotics have allowed exercise physiologists to explore classical questions such as “What factors may be responsible for the increase in maximal aerobic capacity?” with an efficacy that a previous generation would have thought not only incredible but also impossible. While advances in technology are essential, collaboration and communication is of utmost importance to the further advancement of knowledge. ACSM, through scientific sessions including tutorials, symposia, and free communications at its Annual Meeting, keeps its membership informed of developments in the field through sponsorship of strong basic science components in these areas. The past sets the precedent for the present and the present will dictate the future. While genomics and proteonomics are currently emerging, exercisenomics may emerge in the future as a field where exercise scientists investigate a series of different factors at different stages in development. This new field may help discover the different factors that account for the potency and plasticity of the physiological changes and adaptations to exercise. Subsequently, the health benefits of exercise or the limits of performance for athletes may be fully realized. Whether an “exercise chip” will ever be fabricated to solve questions in the aforementioned areas remains to be determined, but the knowledge gleaned will only be limited by our hard work and imaginations.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,383
Score d'incertitude au seuil0,848

Scores Codex et Gemma par catégorie

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

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 Opus0,019
Tête enseignante GPT0,285
Écart entre enseignants0,267 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations1
Publié2004
Routes d'admission1
Résumé présentoui

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