125 RATE OF TELOMERE SHORTENING AND CARDIOVASCULAR PHENOTYPES
Notice bibliographique
Résumé
Introduction Cross-sectional adult studies report associations between short leukocyte telomere length (LTL) and measures of vascular and cardiac damage. However, due to high inter-individual differences in LTL at birth and thereafter, it is unclear whether this relationship is due to inherited short telomere length or a higher rate of LTL shortening through life. In this study we explored whether the baseline LTL or the rate of LTL shortening could predict cardiovascular (CV) phenotypes during 10 year follow up in the MRC National Survey of Health and Development (NSHD, also known as 1946 birth cohort) study. Methods 689 participants with measures of LTL and CV risk factors at 52 and 62 years underwent measurements of right common carotid intima-media thickness (cIMT), cardiac mass and left ventricular ejection fraction at 62 years. LTL was measured by real time PCR. Results At both time points a negative association was found between LTL and age (p<0.01), with longer LTL detected in females than males (p<0.01). The rate of LTL shortening was faster in subjects with longer LTL at baseline (p<0.001), in males (p<0.01 vs females) and in those with carotid plaques (p<0.05). The measure of LTL at 52 years did not predict CV phenotypes at 62 years. However, a faster rate of LTL shortening between 52 to 62 years was associated with increased values of cIMT at 62 years (r=0.01; p<0.01) leading to a cross-sectional negative association between LTL and cIMT observed at 62 years (r=−0.075; p<0.05). At both time points, no associations were detected between levels of CV risk factors and cross-sectional and longitudinal measures of LTL. Cardiac measurements were not associated with 52 and 62 year LTL measures, nor with the rate of LTL shortening. Similar trends were observed in male and females and adjustments for CV risk factors, treatments and history of CV disease did not materially affect the results (table 1). Conclusions/implications This is the first study showing an association between rate of LTL attrition and final vascular phenotype. These findings suggest that the rate of progression of cellular aging in late midlife (reflected by the rate of LTL attrition) influences predisposition to vascular damage, over and above the contribution of CV risk factors. Therefore, current results identified a possible novel pathway associated to an increased risk of CV disease. This can possibly improve the CV risk stratification of the patients. Furthermore, a better understanding of the factors influencing the rate of LTL has the potential to identify novel terapeutic targets and lead to a more effective CV disease prevention.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».