Management of Dyslipidemia in Patients with Non-Alcoholic Fatty Liver Disease

Martin, Anna; Lang, Sonja; Goeser, Tobias; Demir, Münevver; Steffen, Hans‐Michael; Kasper, Philipp

doi:10.1007/s11883-022-01028-4

Cited by 27 publications

(14 citation statements)

References 127 publications

(135 reference statements)

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“…[ 19 ] Dyslipidaemia is an essential mediator between NAFLD and cardiovascular disease. [ 20 ] Similar to blood pressure parameters, the delta changes in the lipid parameters between the study visits among different arms were not different. This lack of meaningful difference in blood pressure and lipid parameters could be ascribed to the young age of our study cohort and a relatively short follow-up period of 3 years.…”

Section: Discussionmentioning

confidence: 92%

Incidence of Prediabetes/Diabetes among Women with Prior Gestational Diabetes and Non-Alcoholic Fatty Liver Disease: A Prospective Observational Study

Gupta,

Kubihal,

Shalimar

et al. 2023

Indian Journal of Endocrinology and Metabolism

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Background and Objectives: This prospective longitudinal study aims to evaluate and compare the incidence of prediabetes/diabetes among women stratified at the baseline postpartum visit according to the prior GDM and NAFLD status. Methods: Of the 309 women with baseline postpartum assessment at a median of 16 months following the index delivery, 200 (64.7%) [GDM: 137 (68.5%), normoglycaemia: 63 (31.5%)] were available for the follow-up analysis (performed at median of 54 months following the index delivery) and were participants for this study. We obtained relevant demographic, medical and obstetric details and performed a 75 g OGTT with glucose estimation at 0 and 120 min. NAFLD status was defined by ultrasonography at the baseline visit. Participants were divided into four groups: no NAFLD and no prior GDM (group 1), NAFLD but no prior GDM (group 2), prior GDM but no NAFLD (group 3), and NAFLD and prior GDM (group 4). Results: The mean age of study participants (n = 200) was 32.2 ± 5.1 years, and the mean interval between the two visits was 34.8 ± 5.5 months. A total of 74 (37%) women had progression to prediabetes/diabetes [incidence rate of 12.8/100 woman-years]. The incidence rates (per 100 woman-years) were 8.6, 8.9, 13.4 and 15.3 in groups 1, 2, 3 and 4, respectively. The adjusted hazard ratio for incident (new-onset) prediabetes/diabetes in group 4 (reference: group 1) was 1.99 (95% CI 0.80, 4.96, P = 0.140). Among women with baseline NAFLD (irrespective of GDM status), the risk of incident prediabetes/diabetes increased with an increase in the duration of follow-up (3.03-fold higher per year of follow-up, P = 0.029) and was significantly higher in women who were not employed (6.43, 95% CI 1.74, 23.7, P = 0.005) and in women with GDM requiring insulin/metformin during pregnancy (4.46, 95% CI 1.27, 15.64, P = 0.019). Conclusion: NAFLD and GDM increased the risk for glycaemic deterioration in young Indian women. Future studies should focus on evaluating the effectiveness of lifestyle and behavioural interventions in such high-risk women.

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Section: Discussionmentioning

confidence: 92%

Incidence of Prediabetes/Diabetes among Women with Prior Gestational Diabetes and Non-Alcoholic Fatty Liver Disease: A Prospective Observational Study

Gupta,

Kubihal,

Shalimar

et al. 2023

Indian Journal of Endocrinology and Metabolism

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“…Clinical studies have found that the majority of NAFLD patients suffer from dyslipidemia [ 34 ]. Similarly, levels of lipids such as FFA, TG, and TC and lipoproteins (LDL-c and HDL-c) in HFD mice serum were significantly increased compared to ND mice ( Table 2 ).…”

Section: Resultsmentioning

confidence: 99%

Protective Effects of Hydroxyphenyl Propionic Acids on Lipid Metabolism and Gut Microbiota in Mice Fed a High-Fat Diet

et al. 2023

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Gut microbiota imbalances lead to the pathogenesis of non-alcoholic fatty liver disease (NAFLD), which is primarily accompanied by hepatic steatosis. Hydroxyphenyl propionic acids (HPP) have shown great potential in inhibiting lipid accumulation but their protective effects concerning NAFLD and intestinal microbiota have remained unclear. In this paper, we investigated the efficacies of 3-HPP and 4-HPP on hepatic steatosis and gut flora in mice fed a high-fat diet (HFD). We found that 3-HPP and 4-HPP administration decreased body weight and liver index, ameliorated dyslipidemia, and alleviated hepatic steatosis. Furthermore, 3-HPP and 4-HPP enhanced the multiformity of gut microbiota; improved the relative abundance of GCA-900066575, unidentified_Lachnospiraceae, and Lachnospiraceae_UCG-006 at genus level; increased concentration of acetic acid, propionic acid and butanoic acid in faeces; and reduced systemic endotoxin levels in NAFLD mice. Moreover, 4-HPP upregulated the relative abundance of genera Rikenella and downregulated the relative abundance of Faecalibaculum. Furthermore, 3-HPP and 4-HPP regulated lipid metabolism and ameliorated gut dysbiosis in NAFLD mice and 4-HPP was more effective than 3-HPP.

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“…The results show that TG and LDL-C are independent risk factors for NAFLD, and HDL-C is a protective factor for NAFLD. Many studies have confirmed that the excessive accumulation of lipids intensifies the production of reactive oxygen species, which destroys the steady state of redox by inducing oxidative stress and activates the inflammatory signalmediated proinflammatory reaction, thus causing further 5 Computational and Mathematical Methods in Medicine damage to the hepatocytes [32,33]. In addition, high TG can cause insulin resistance, leading to hyperglycemia.…”

Section: Discussionmentioning

confidence: 99%

Risk Factors and Prediction Models for Nonalcoholic Fatty Liver Disease Based on Random Forest

Zhang

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. To establish a risk prediction model of nonalcoholic fatty liver disease (NAFLD) and provide management strategies for preventing this disease. Methods. A total of 200 inpatients and physical examinees were collected from the Department of Gastroenterology and Endocrinology and Physical Examination Center. The data of physical examination, laboratory examination, and abdominal ultrasound examination were collected. All subjects were randomly divided into a training set (70%) and a verification set (30%). A random forest (RF) prediction model is constructed to predict the occurrence risk of NAFLD. The receiver operating characteristic (ROC) curve is used to verify the prediction effect of the prediction models. Results. The number of NAFLD patients was 44 out of 200 enrolled patients, and the cumulative incidence rate was 22%. The prediction models showed that BMI, TG, HDL-C, LDL-C, ALT, SUA, and MTTP mutations were independent influencing factors of NAFLD, all of which has statistical significance ( P < 0.05 ). The area under curve (AUC) of logistic regression and the RF model was 0.940 (95% CI: 0.870~0.987) and 0.945 (95% CI: 0.899~0.994), respectively. Conclusion. This study established a prediction model of NAFLD occurrence risk based on the RF, which has a good prediction value.

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Management of Dyslipidemia in Patients with Non-Alcoholic Fatty Liver Disease

Cited by 27 publications

References 127 publications

Incidence of Prediabetes/Diabetes among Women with Prior Gestational Diabetes and Non-Alcoholic Fatty Liver Disease: A Prospective Observational Study

Incidence of Prediabetes/Diabetes among Women with Prior Gestational Diabetes and Non-Alcoholic Fatty Liver Disease: A Prospective Observational Study

Protective Effects of Hydroxyphenyl Propionic Acids on Lipid Metabolism and Gut Microbiota in Mice Fed a High-Fat Diet

Risk Factors and Prediction Models for Nonalcoholic Fatty Liver Disease Based on Random Forest

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