Your browser doesn't support javascript.
loading
Monocyte to High-Density lipoprotein and Apolipoprotein A1 Ratios: Novel Indicators for Metabolic Syndrome in Chinese Newly Diagnosed Type 2 Diabetes.
Wang, Wei; Chen, Zhe Yuan; Guo, Xiu Li; Tu, Mei.
Afiliación
  • Wang W; Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
  • Chen ZY; Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
  • Guo XL; Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
  • Tu M; Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China.
Front Endocrinol (Lausanne) ; 13: 935776, 2022.
Article en En | MEDLINE | ID: mdl-35909551
ABSTRACT

Objective:

Increasing evidence highlighted that chronic inflammation involved in the development of metabolic syndrome (MetS) and Type 2 diabetes mellitus (T2DM). This prospective study was aimed to assess the association between MetS and novel pro-inflammatory indicators like monocyte-to-high-density lipoprotein and monocyte-to-apolipoprotein A1 ratios (MHR and MAR) in Chinese newly diagnosed T2DM.

Method:

A total of 605 Chinese newly diagnosed T2DM with complete and available data were enrolled in this study. Demographic and anthropometric information were collected. Laboratory assessments were determined by standard methods. MetS was based on the Chinese Diabetes Society definition. Multiple binomial logistic regression model was used to estimate the independent variables of MHR and MAR for MetS. Receiver operating characteristic (ROC) curve was conducted to assess the optimal cutoff value of MHR and MAR in identifying MetS.

Results:

Overall, the prevalence of MetS was 60.2%. The correlation analysis showed that MHR and MAR were closely correlated with metabolic risk factors like body mass index, waist circumference, triglycerides, high-density lipoprotein cholesterol, systolic blood pressure, diastolic blood pressure, uric acid, and insulin resistance. MHR and MAR were also significantly associated with higher odds of MetS after adjustment for other confounders, the odds ratios (ORs) (95%CI) were 1.50 (1.14-1.97) and 2.26(1.79-2.87) respectively. Furthermore, MHR and MAR were also seemed to have higher area under the curve (AUC) for MetS than ApoA1 and monocyte alone from the ROC curve analysis (P < 0.05). The AUCs of MHR and MAR identifying MetS were 0.804 (95% CI 0.768-0.839) and 0.840 (95% CI 0.806-0.873) respectively (P < 0.001). The optimal cutoff values of MHR and MAR were 3.57 × 108/mmol (sensitivity 76.1%, specificity 73.4%) and 3.95 × 108/g (sensitivity 79.7%, specificity 84.6%), respectively.

Conclusions:

MHR and MAR were significantly associated with MetS. These two novel pro-inflammatory indicators may be useful markers for MetS in Chinese newly diagnosed T2DM.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome Metabólico / Diabetes Mellitus Tipo 2 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome Metabólico / Diabetes Mellitus Tipo 2 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: China