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Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus

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2018
3231.pdf (395.3Kb)
Authors
Klisić, Aleksandra
Isaković, Aleksandra
Kocić, Gordana
Kavarić, Nebojša
Jovanović, Milovan
Zvrko, Elvir
Skerović, Verica
Ninić, Ana
Article (Published version)
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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 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.

Keywords:
dyslipidemia / fatty liver / inflammation / oxidative stress / type 2 diabetes
Source:
Experimental and Clinical Endocrinology & Diabetes, 2018, 126, 6, 371-378
Publisher:
  • Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart
Projects:
  • Interactive role of dyslipidemia, oxidative stress and inflammation in atherosclerosis and other diseases: genetic and biochemical markers (RS-175035)

DOI: 10.1055/s-0043-118667

ISSN: 0947-7349

PubMed: 28895641

WoS: 000435299900007

Scopus: 2-s2.0-85048711816
[ Google Scholar ]
28
31
URI
http://farfar.pharmacy.bg.ac.rs/handle/123456789/3233
Collections
  • Radovi istraživača / Researchers’ publications
Institution
Pharmacy
TY  - 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  - http://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",
url = "http://farfar.pharmacy.bg.ac.rs/handle/123456789/3233",
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. Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus. Experimental and Clinical Endocrinology & Diabetes. 2018;126(6):371-378
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.
Experimental and Clinical Endocrinology & DiabetesJohann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart., 126(6), 371-378.
https://doi.org/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" 126, no. 6 (2018):371-378,
https://doi.org/10.1055/s-0043-118667 .

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