DEPENDENCE OF CARDIOTROPHIN-1 ON BIOCHEMICAL AND HORMONAL FACTORS IN PATIENTS WITH COMORBID PATHOLOGY: ARTERIAL HYPERTENSION, DIABETES MELLITUS TYPE 2 AND OBESITY
Notice bibliographique
Résumé
The prevalence of arterial hypertension, type 2 diabetes mellitus (type 2 DM), and obesity is constantly increasing worldwide. Today, a complex of factors, which primarily include chronic emotional stress, pandemics of infectious diseases, military conflicts, have led to a significant increase in chronic non-communicable diseases. The aim of the study. To determine the dependence of Cardiotrophin-1 on a number of biochemical and hormonal indicators in patients with arterial hypertension, type 2 DM, and obesity, representatives of the Ukrainian population. Materials and methods. The study included 211 patients aged 49 to 65 years, who were divided into groups depending on the pathology: patients with arterial hypertension – 49 persons, Group I; patients with arterial hypertension in combination with class 1 obesity – 54 persons, Group 2; patients with arterial hypertension in combination with type 2 DM – 57 persons, Group 3; patients with arterial hypertension, type 2 DM, class 1 obesity – 51 persons, Group 4; as well as 20 persons – the Control group. Determination of the content of Cardiotrophin-1, catestatin, leptin, cystatin C, neutrophil gelatinase-associated lipocalin (NGAL), N-terminal brain natriuretic peptide (NT-proBNP), 25-OH of common vitamin D (Vitamin D3), blood levels was carried out by enzyme immunoassay on Labline-90 analyzer (Austria), using commercial test systems manufactured by FineTest (ELISA, China), BT LAB (ELISA, China), DBC (ELISA, China), Elabscience (ELISA, Canada), Monobind Inc. (ELISA, USA). Statistical data analysis was performed, using the statistical software package Statistica, 12 (Stat Soft Inc, USA), Microsoft Office Excel 2013. Data are shown as mean (M) and standard deviations (δ). An error of less than 5% was considered to be significant (p<0.05). Stepwise regression analysis was used to determine the extent of exposure of the studied indicators to the CTF-1 level, with its effectiveness assessed by one-way analysis of variance (ANOVA). Results. Thus, the study indicates that comorbid patients with arterial hypertension, type 2 DM, and obesity are predicted to develop complications from the cardiovascular system and Cardiotrophin-1 is a marker of their development. In the examined patients as a whole, the level of Cardiotrophin-1 is closely related to the peptide-hormonal complex: catestatin, leptin, cystatin C, brain natriuretic peptide, and lipocalin associated with neutrophil gelatinase. Conclusions: The serum concentration of Cardiotrophin-1 in patients with arterial hypertension increases significantly in a progression with the rate of accession of comorbid pathology and its severity. The Cardiotrophin-1 level in patients with comorbid pathology is affected by catestatin, leptin, cystatin C, NT-pro BNP, as well as the level of triglycerides, HDL-C, creatinine, and BMI. Cardiotrophin-1 can be considered as a universal biomarker for the development and progression of cardiovascular disorders in patients with comorbid pathology of arterial hypertension, type 2 DM, and obesity.
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) | 0,001 | 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) | 0,000 | 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 ».