Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus
2018
Аутори
Klisić, AleksandraIsaković, Aleksandra
Kocić, Gordana
Kavarić, Nebojša
Jovanović, Milovan
Zvrko, Elvir
Skerović, Verica
Ninić, Ana
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Introduction/Aim Considering the high prevalence of nonalcoholic fatty liver disease (NAFLD) in individuals with type 2 diabetes mellitus (DM2), we aimed to investigate the potential benefit of determining markers of oxidative stress, inflammation and dyslipidemia for prediction of NAFLD, as estimated with fatty liver index (FLI) in individuals with DM2. Methods A total of 139 individuals with DM2 (of them 49.9 % females) were enrolled in cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure were obtained. A FLI was calculated. Results Multivariate logistic regression analysis showed that high density lipoprotein cholesterol (HDL-c) and malondialdehyde (MDA) were independent predictors of higher FLI [Odds ratio (OR) = 0.056, p = 0.029; and OR = 1.105, p = 0.016, respectively]. In Receiver Operating Characteristic curve analysis, the addition of fatty liver risk factors (e.g., age, gender, body height, smoking status, diabetes duration and drugs met...abolized in liver) to each analysed biochemical parameter [HDL-c, non-HDL-c, high sensitivity C-reactive protein (hsCRP), MDA and advanced oxidant protein products (AOPP)] in Model 1, increased the ability to discriminate patients with and without fatty liver [Area under the curve (AUC) = 0.832, AUC = 0.808, AUC = 0.798, AUC = 0.824 and AUC = 0.743, respectively]. Model 2 (which included all five examined predictors, e.g., HDL-c, non-HDL-c, hsCRP, MDA, AOPP, and fatty liver risk factors) improved discriminative abilities for fatty liver status (AUC = 0.909). Even more, Model 2 had the highest sensitivity and specificity (89.3 % and 87.5 %, respectively) together than each predictor in Model 1. Conclusion Multimarker approach, including biomarkers of oxidative stress, dyslipidemia and inflammation, could be of benefit in identifying patients with diabetes being at high risk of fatty liver disease.
Кључне речи:
dyslipidemia / fatty liver / inflammation / oxidative stress / type 2 diabetesИзвор:
Experimental and Clinical Endocrinology & Diabetes, 2018, 126, 6, 371-378Издавач:
- Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart
Финансирање / пројекти:
- Интерактивна улога дислипидемије, оксидативног стреса и инфламације у атеросклерози и другим болестима: генетички и биохемијски маркери (RS-MESTD-Basic Research (BR or ON)-175035)
DOI: 10.1055/s-0043-118667
ISSN: 0947-7349
PubMed: 28895641
WoS: 000435299900007
Scopus: 2-s2.0-85048711816
Институција/група
PharmacyTY - JOUR AU - Klisić, Aleksandra AU - Isaković, Aleksandra AU - Kocić, Gordana AU - Kavarić, Nebojša AU - Jovanović, Milovan AU - Zvrko, Elvir AU - Skerović, Verica AU - Ninić, Ana PY - 2018 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3233 AB - Introduction/Aim Considering the high prevalence of nonalcoholic fatty liver disease (NAFLD) in individuals with type 2 diabetes mellitus (DM2), we aimed to investigate the potential benefit of determining markers of oxidative stress, inflammation and dyslipidemia for prediction of NAFLD, as estimated with fatty liver index (FLI) in individuals with DM2. Methods A total of 139 individuals with DM2 (of them 49.9 % females) were enrolled in cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure were obtained. A FLI was calculated. Results Multivariate logistic regression analysis showed that high density lipoprotein cholesterol (HDL-c) and malondialdehyde (MDA) were independent predictors of higher FLI [Odds ratio (OR) = 0.056, p = 0.029; and OR = 1.105, p = 0.016, respectively]. In Receiver Operating Characteristic curve analysis, the addition of fatty liver risk factors (e.g., age, gender, body height, smoking status, diabetes duration and drugs metabolized in liver) to each analysed biochemical parameter [HDL-c, non-HDL-c, high sensitivity C-reactive protein (hsCRP), MDA and advanced oxidant protein products (AOPP)] in Model 1, increased the ability to discriminate patients with and without fatty liver [Area under the curve (AUC) = 0.832, AUC = 0.808, AUC = 0.798, AUC = 0.824 and AUC = 0.743, respectively]. Model 2 (which included all five examined predictors, e.g., HDL-c, non-HDL-c, hsCRP, MDA, AOPP, and fatty liver risk factors) improved discriminative abilities for fatty liver status (AUC = 0.909). Even more, Model 2 had the highest sensitivity and specificity (89.3 % and 87.5 %, respectively) together than each predictor in Model 1. Conclusion Multimarker approach, including biomarkers of oxidative stress, dyslipidemia and inflammation, could be of benefit in identifying patients with diabetes being at high risk of fatty liver disease. PB - Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart T2 - Experimental and Clinical Endocrinology & Diabetes T1 - Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus VL - 126 IS - 6 SP - 371 EP - 378 DO - 10.1055/s-0043-118667 ER -
@article{ author = "Klisić, Aleksandra and Isaković, Aleksandra and Kocić, Gordana and Kavarić, Nebojša and Jovanović, Milovan and Zvrko, Elvir and Skerović, Verica and Ninić, Ana", year = "2018", abstract = "Introduction/Aim Considering the high prevalence of nonalcoholic fatty liver disease (NAFLD) in individuals with type 2 diabetes mellitus (DM2), we aimed to investigate the potential benefit of determining markers of oxidative stress, inflammation and dyslipidemia for prediction of NAFLD, as estimated with fatty liver index (FLI) in individuals with DM2. Methods A total of 139 individuals with DM2 (of them 49.9 % females) were enrolled in cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure were obtained. A FLI was calculated. Results Multivariate logistic regression analysis showed that high density lipoprotein cholesterol (HDL-c) and malondialdehyde (MDA) were independent predictors of higher FLI [Odds ratio (OR) = 0.056, p = 0.029; and OR = 1.105, p = 0.016, respectively]. In Receiver Operating Characteristic curve analysis, the addition of fatty liver risk factors (e.g., age, gender, body height, smoking status, diabetes duration and drugs metabolized in liver) to each analysed biochemical parameter [HDL-c, non-HDL-c, high sensitivity C-reactive protein (hsCRP), MDA and advanced oxidant protein products (AOPP)] in Model 1, increased the ability to discriminate patients with and without fatty liver [Area under the curve (AUC) = 0.832, AUC = 0.808, AUC = 0.798, AUC = 0.824 and AUC = 0.743, respectively]. Model 2 (which included all five examined predictors, e.g., HDL-c, non-HDL-c, hsCRP, MDA, AOPP, and fatty liver risk factors) improved discriminative abilities for fatty liver status (AUC = 0.909). Even more, Model 2 had the highest sensitivity and specificity (89.3 % and 87.5 %, respectively) together than each predictor in Model 1. Conclusion Multimarker approach, including biomarkers of oxidative stress, dyslipidemia and inflammation, could be of benefit in identifying patients with diabetes being at high risk of fatty liver disease.", publisher = "Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart", journal = "Experimental and Clinical Endocrinology & Diabetes", title = "Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus", volume = "126", number = "6", pages = "371-378", doi = "10.1055/s-0043-118667" }
Klisić, A., Isaković, A., Kocić, G., Kavarić, N., Jovanović, M., Zvrko, E., Skerović, V.,& Ninić, A.. (2018). Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus. in Experimental and Clinical Endocrinology & Diabetes Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart., 126(6), 371-378. https://doi.org/10.1055/s-0043-118667
Klisić A, Isaković A, Kocić G, Kavarić N, Jovanović M, Zvrko E, Skerović V, Ninić A. Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus. in Experimental and Clinical Endocrinology & Diabetes. 2018;126(6):371-378. doi:10.1055/s-0043-118667 .
Klisić, Aleksandra, Isaković, Aleksandra, Kocić, Gordana, Kavarić, Nebojša, Jovanović, Milovan, Zvrko, Elvir, Skerović, Verica, Ninić, Ana, "Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus" in Experimental and Clinical Endocrinology & Diabetes, 126, no. 6 (2018):371-378, https://doi.org/10.1055/s-0043-118667 . .