Relationship Between Periodontitis and Nitric Oxide in Patients Undergoing Maintenance Hemodialysis
Notice bibliographique
Résumé
BACKGROUND: The inflammatory processes associated with periodontitis have been implicated in the development and progression of systemic diseases, including chronic kidney disease (CKD). Notably, individuals with CKD frequently exhibit shared risk factors with those affected by periodontitis, such as hypertension, smoking, and diabetes mellitus. Nitric oxide (NO), a free radical with diverse physiological and pathological roles, exerts both anti-inflammatory (e.g., vasodilation, modulation of platelet function) and pro-inflammatory effects, the latter of which have been observed in patients with CKD. AIMS: This study aimed to investigate the relationship between nitric oxide levels in saliva and plasma and various periodontal parameters in patients with chronic kidney disease (CKD), in comparison to a control group without CKD. METHODS: This study enrolled 90 participants seeking dental treatment. The participants were divided into two groups: a CKD group (n = 40) consisting of patients undergoing dialysis or hemodialysis treatment at the Pró-Renal Foundation Dental Clinic, and a control group (n = 50) comprising individuals without CKD who were receiving treatment at the UFPR Dental Clinic. Two calibrated examiners conducted comprehensive periodontal examinations for all participants. Additionally, saliva samples were collected from each participant to assess pH, flow rate, and nitric oxide levels. Venous blood samples were also obtained to quantify plasma nitric oxide concentrations. RESULTS: Patients in the CKD group exhibited significantly poorer periodontal health compared to the control group (p < 0.05), characterized by a larger Periodontal Inflamed Surface Area, greater probing depth, increased clinical attachment level, and a higher visual plaque index (p < 0.05). Furthermore, the CKD group presented with significantly reduced salivary flow (p < 0.05). Notably, this group also showed elevated levels of both nitrate and nitrite in saliva and serum (p < 0.05) compared to the control group. Correlation analyzes revealed significant positive associations between nitrate and nitrite levels (in both plasma and saliva) and several periodontal variables: probing depth (r = 0.38 and 0.41, respectively), clinical attachment level (r = 0.40 and 0.38, respectively), and Periodontal Inflamed Surface Area (r = 0.27 and 0.48, respectively). Conversely, nitrate and nitrite levels in both fluids showed significant negative correlations with glomerular filtration rate (GFR) (r = -0.55 and -0.40, respectively). The visual plaque index demonstrated a significant positive correlation only with salivary nitrate and nitrite levels (r = 0.23), highlighting the potential influence of oral biofilm on nitric oxide metabolism. Interestingly, the comparable levels of nitrate and nitrite observed in saliva and plasma suggest that saliva may be a suitable non-invasive biofluid for biomarker analysis in this context. CONCLUSION: This study revealed a positive correlation between the visual plaque index and salivary nitric oxide levels in the studied population. However, further research involving specific analysis of the oral biofilm composition and its dynamic role within the nitric oxide entero-salivary cycle in these patients is warranted to elucidate this relationship fully.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».