Fat and bone metabolism in relation to gingival inflammation in children
Notice bibliographique
Résumé
Introduction: Epidemiological evidence suggests an association between diseases related to fat and bone metabolism and periodontal health. Despite the extensive evidence showing these associations in adults, only a few studies have been conducted in children. We address a gap in the pediatric literature by examining the extent to which markers of gingival inflammation are associated with i) metabolic syndrome (MetS) and: ii) plasma uncarboxylated osteocalcin (unOC). As a preliminary step, we first explore the extent to which whole-body bone measurements were associated with fat mass after taking into account the effect of lean mass. Methodology: The data used in this project derives from the QUALITY cohort, an ongoing longitudinal study investigating the natural history of obesity in children of Quebec, Canada. The QUALITY cohort includes 630 Caucasian children aged 8-10 years at cohort inception, with at least one obese biological parent. Participants were systematically recruited through schools located within 75 km of Montreal and Quebec City. In this thesis, we present cross-sectional analyses from the baseline visit using multiple linear regression analyses with adjustment for potential confounding variables. Whole-body bone mineral content (BMC, g), bone area (cm2), bone mineral density (BMD, g/cm2), lean mass (kg) and fat mass (kg) were measured by dual-energy X-ray absorptiometry (DXA). MetS was defined according to the International Diabetes Federation recommendations. Plasma unOC levels were determined by enzyme-linked immunosorbent assay. Gingival inflammation was defined by the level of gingival crevicular fluid (GCF) tumour necrosis factor alpha (TNF-α) and the extent of gingival bleeding. Results: Positive associations between fat mass and whole-body DXA bone measurements, including BMC, bone area and BMD, were observed after taking into account the effect of lean mass. Specifically, a 1-kg increase in fat was associated with 9.32 g (95% confidence interval [CI]: 7.26, 11.39), 8.02 cm2 (95%CI: 6.72, 9.32) and 0.002 g/cm2 (95%CI: 0.000, 0.002), increase in whole-body BMC, bone area and BMD respectively. Boys with MetS compared to those without, had a 49.5% (95%CI: 25.72, 73.22) higher GCF TNF-α level and 13.7% (95%CI: 1.1, 26.2) more sites with gingival bleeding. Moreover, for 3 of the 5 components of MetS â waist circumference, fasting plasma triglycerides and systolic blood pressure â an increase was associated with increased GCF TNF-α level in boys. No such findings were seen in girls. A 1-ng/ml increase in plasma unOC was associated with 0.96% decrease (95% CI: -1.69, -0.23) in GCF TNF-α level. Conclusion: Our results provide novel findings showing a clustering of metabolic abnormalities, low plasma unOC and high gingival inflammation among 8-10 Caucasian children. Moreover, they suggest that fat and bone metabolism may be associated with periodontal health as early as in childhood. Documenting the association of conditions related to fat and bone metabolism with periodontal health in children may have public health implications. This may allow identification of individuals at risk of developing several related conditions long before they develop clinically and implementation of early preventive measures.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».