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Causal relationship between nonalcoholic fatty liver disease and different sleep traits: a bidirectional Mendelian randomized study.
Sun, Z, Ji, J, Zuo, L, Hu, Y, Wang, K, Xu, T, Wang, Q, Cheng, F
Frontiers in endocrinology. 2023;14:1159258
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Non-alcoholic fatty liver disease (NAFLD) is caused by a build up of fat in the liver. NAFLD is becoming more common, with the rise in rates of obesity. There are no specific medications available for NAFLD and patients are advised to manage their diets and lifestyle following diagnosis. The aim of this study was to assess and evaluate the causal relationship between sleep and NAFLD. The study was a two-way Mendelian randomised clinical trial. Results showed that different sleep traits can be the cause of the onset and exacerbation of NAFLD. NAFLD does not change sleep traits and the causal relationship between them is unidirectional. Authors conclude that sleep characteristics are associated with an elevated risk of NAFLD. Thus, enhancing sleep should be considered by healthcare practitioners as part of prevention and management NAFLD.
Abstract
BACKGROUND AND AIMS Non-alcoholic fatty liver disease(NAFLD) is common worldwide and has previously been reported to be associated with sleep traits. However, it is not clear whether NAFLD changes sleep traits or whether the changes in sleep traits lead to the onset of NAFLD. The purpose of this study was to investigate the causal relationship between NAFLD and changes in sleep traits using Mendelian randomization. METHODS We proposed a bidirectional Mendelian randomization (MR) analysis and performed validation analyses to dissect the association between NAFLD and sleep traits. Genetic instruments were used as proxies for NAFLD and sleep. Data of genome-wide association study(GWAS) were obtained from the center for neurogenomics and cognitive research database, Open GWAS database and GWAS catalog. Three MR methods were performed, including inverse variance weighted method(IVW), MR-Egger, weighted median. RESULTS In total,7 traits associated with sleep and 4 traits associated with NAFLD are used in this study. A total of six results showed significant differences. Insomnia was associated with NAFLD (OR(95% CI)= 2.25(1.18,4.27), P = 0.01), Alanine transaminase levels (OR(95% CI)= 2.79(1.70, 4.56), P =4.71×10-5) and percent liver fat(OR(95% CI)= 1.31(1.03,1.69), P = 0.03). Snoring was associated with percent liver fat (1.15(1.05,1.26), P =2×10-3), alanine transaminase levels (OR(95% CI)= 1.27(1.08,1.50), P =0.04).And dozing was associated with percent liver fat(1.14(1.02,1.26), P =0.02).For the remaining 50 outcomes, no significant or definitive association was yielded in MR analysis. CONCLUSION Genetic evidence suggests putative causal relationships between NAFLD and a set of sleep traits, indicating that sleep traits deserves high priority in clinical practice. Not only the confirmed sleep apnea syndrome, but also the sleep duration and sleep state (such as insomnia) deserve clinical attention. Our study proves that the causal relationship between sleep characteristics and NAFLD is the cause of the change of sleep characteristics, while the onset of non-NAFLD is the cause of the change of sleep characteristics, and the causal relationship is one-way.
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A Low-Carbohydrate Diet Realizes Medication Withdrawal: A Possible Opportunity for Effective Glycemic Control.
Han, Y, Cheng, B, Guo, Y, Wang, Q, Yang, N, Lin, P
Frontiers in endocrinology. 2021;12:779636
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Many studies have shown that diet restrictions can help glycemic control and reduce metabolic risks in patients with type 2 diabetes mellitus (T2DM). The aim of this study was to look at the efficacy of two diets, the LCD and the low-fat diet (LFD), on glycemic control and clinical treatment. The study was a prospective, open-label, double-arm, randomized controlled trial conducted from March 2019 to December 2020 in China. 134 T2DM participants took part and they were randomly assigned to the LCD group or the low -fat diet (LFD) group. The following were measured at the beginning and end of each intervention: weight, fasting blood glucose (FBG), postprandial 2-h blood glucose (PPG), glycosylated haemoglobin (HbA1c), antiglycemic medications, and medications for other diseases and emerging diseases. The effect of decreasing blood glucose control with the LCD is superior to that of the LFD for Chinese patients with T2DM. It also led to a lower medication effects score (MES). It can reduce body weight, BMI, and lipid-lowering agents. Strict diet control and monitoring are the keys to managing diabetes. Further larger scale studies are needed to obtain more evidence.
Abstract
Objective: Multiple studies have confirmed that diet restrictions can effectively realize glycemic control and reduce metabolic risks in patients with type 2 diabetes mellitus (T2DM). In 2018, the American Diabetes Association (ADA) and European Association for the Study of Diabetes (EASD) stated that individuals can select a low-carbohydrate diet (LCD) according to their needs and preferences. Owing to the influence of Chinese traditional eating habits, only a small portion of patients in China have achieved their blood glucose goals. As a result, the Chinese government will incur huge expenditures. Method: This study recruited 134 T2DM participants and randomly assigned them to the LCD group (n = 67) or the low-fat diet (LFD) group (n = 67). All of the patients had a fixed amount of exercise and were guided by clinicians. After a period of dietary washout, all of the patients received corresponding dietary education according to group. The follow-up time was 6 months. The indicators for anthropometry, glycemic control, and medication application parameters were collected and compared between the two groups. Results: There were 121 participants who finally entered the study. The proportions of calories from three major nutrients the participants consumed met the requirements of LCD and LFD. Compared with baseline, the pre-postdifferences of body weight, BMI, and several other indicators were significant except for dosages of insulin used in the LCD group and MES in the LFD group. After the intervention, body weight, body weight index (BMI), fasting blood glucose (FBG), postprandial 2-h blood glucose (PPG), and glycosylated hemoglobin (HbA1c) levels in the LCD group decreased significantly (p < 0.05) compared with the LFD group. The number of patients using lipid-lowering agents was significant higher in the LCD group and lower in the LFD group. However, there was no significant difference between the two groups for antihypertensive, hormone-replacement, and other agents. Conclusions: The LCD diet can decrease body weight, glycemic levels, MES, and lipid-lowering agents more than the LFD diet, thus decreasing cost burden in Chinese patients with T2DM. Strict diet control and monitoring are the keys to managing diabetes.