Higher serum vitamin A is associated with a worsened progression of non-alcoholic fatty liver disease in adults: a prospective study

Examining the Pathogenesis of MAFLD and the Medicinal Properties of Natural Products from a Metabolic Perspective

Metabolic-associated fatty liver disease (MAFLD), characterized primarily by hepatic steatosis, has become the most prevalent liver disease worldwide, affecting approximately two-fifths of the global population. The pathogenesis of MAFLD is extremely complex, and to date, there are no approved therapeutic drugs for clinical use. Considerable evidence indicates that various metabolic disorders play a pivotal role in the progression of MAFLD, including lipids, carbohydrates, amino acids, and micronutrients. In recent years, the medicinal properties of natural products have attracted widespread attention, and numerous studies have reported their efficacy in ameliorating metabolic disorders and subsequently alleviating MAFLD. This review aims to summarize the metabolic-associated pathological mechanisms of MAFLD, as well as the natural products that regulate metabolic pathways to alleviate MAFLD.

Gut microbiome features and metabolites in non-alcoholic fatty liver disease among community-dwelling middle-aged and older adults

BACKGROUND

The specific microbiota and associated metabolites linked to non-alcoholic fatty liver disease (NAFLD) are still controversial. Thus, we aimed to understand how the core gut microbiota and metabolites impact NAFLD.

METHODS

The data for the discovery cohort were collected from the Guangzhou Nutrition and Health Study (GNHS) follow-up conducted between 2014 and 2018. We collected 272 metadata points from 1546 individuals. The metadata were input into four interpretable machine learning models to identify important gut microbiota associated with NAFLD. These models were subsequently applied to two validation cohorts [the internal validation cohort (n = 377), and the prospective validation cohort (n = 749)] to assess generalizability. We constructed an individual microbiome risk score (MRS) based on the identified gut microbiota and conducted animal faecal microbiome transplantation experiment using faecal samples from individuals with different levels of MRS to determine the relationship between MRS and NAFLD. Additionally, we conducted targeted metabolomic sequencing of faecal samples to analyse potential metabolites.

RESULTS

Among the four machine learning models used, the lightGBM algorithm achieved the best performance. A total of 12 taxa-related features of the microbiota were selected by the lightGBM algorithm and further used to calculate the MRS. Increased MRS was positively associated with the presence of NAFLD, with odds ratio (OR) of 1.86 (1.72, 2.02) per 1-unit increase in MRS. An elevated abundance of the faecal microbiota (f__veillonellaceae) was associated with increased NAFLD risk, whereas f__rikenellaceae, f__barnesiellaceae, and s__adolescentis were associated with a decreased presence of NAFLD. Higher levels of specific gut microbiota-derived metabolites of bile acids (taurocholic acid) might be positively associated with both a higher MRS and NAFLD risk. FMT in mice further confirmed a causal association between a higher MRS and the development of NAFLD.

CONCLUSIONS

We confirmed that an alteration in the composition of the core gut microbiota might be biologically relevant to NAFLD development. Our work demonstrated the role of the microbiota in the development of NAFLD.

The association between serum vitamin A and NAFLD among US adults varied in different BMI groups: a cross-sectional study

Background and aims: The association between serum vitamin A (VA) and non-alcoholic fatty liver disease (NAFLD) has not been adequately studied. This study aimed to evaluate the association between them in different BMI groups among US adults. Methods: A cross-sectional study was performed using the 2017-2018 National Health and Nutrition Examination Survey (NHANES) datasets (N = 4.723). Linear/logistic regression, interaction effect and mediation analyses were adopted to analyze the association. Results: NAFLD tended to be more prevalent in adults in the middle and high tertiles of serum VA than in those in the low tertile of serum VA (OR [95% CI], 1.17 [0.94, 1.45] and 1.43 [1.16, 1.75]). In the sensitivity analysis, subjects in the middle or high tertile of serum VA had 10% (OR, 1.10 [0.88, 1.39] and 31% (OR, 1.31 [1.09, 1.58]) higher odds of NAFLD than those in the low tertile of serum VA. In the normal weight group, higher serum VA was associated with 125% and 333% higher odds of NAFLD in the middle and high tertiles, respectively, (OR, 2.25 [1.46, 3.48] and 4.33 [2.43, 7.69]) compared with the low tertile serum VA group. However, serum VA and NAFLD were not significantly associated with the obese group. Among different BMI groups (<30 compared with ≥30), serum triglycerides and insulin resistance mediated the association between VA and NAFLD in adults to varying degrees. Conclusions: In the weighted survey, serum VA was positively associated with the degree of NAFLD, especially in the non-obese population.

Diet-derived antioxidants and nonalcoholic fatty liver disease: a Mendelian randomization study

BACKGROUND

Whether supplementation with diet-derived antioxidants is beneficial for nonalcoholic fatty liver disease (NAFLD) is still controversial and we hope to answer this question using population-based genetic data.

METHODS

A total of 8485 NAFLD cases and 658,849 healthy controls from four independent NAFLD genome-wide association studies were enrolled in this study. Genetic variants closely associated with the diet-derived antioxidants were selected to predict their circulating levels. A bi-directional Mendelian randomization (MR) design was employed to assess their causations.

RESULTS

Genetic correlation analyses suggested inverse associations between diet-derived antioxidants and NAFLD. MR analyses indicated that the odds ratio (OR) of per standard deviation increase in genetically predicted toenail and blood selenium was 1.179 for NAFLD (95% confidence interval [1.083-1.284]). Also, the genetically elevated selenium level was causally associated with increased levels of C-reactive protein, fibrinogen, alkaline phosphatase and glycated hemoglobin. The OR of 1 µg/dL increase in genetically predicted serum lycopene was 1.082 (95%CI [1.051-1.113]). No other causal associations were found for NAFLD. However, we observed protective effects of genetically predicted β-carotene (OR = 0.929[0.911-0.947]) and retinol (OR = 0.483[0.460-0.508]) on type 2 diabetes (T2D), and further they could reduce the serum levels of blood lipids and glucose. Reverse MR analysis suggested genetically predicated NAFLD status would not affect the levels of diet-derived antioxidants.

CONCLUSION

Overall, we observed the positive associations of genetically predicted selenium and lycopene with NAFLD. However, the genetically predicted β-carotene and retinol levels were inversely associated with the risk of T2D.

Associations of serum multivitamin levels with the risk of non-alcoholic fatty liver disease: A population-based cross-sectional study in U.S. adults

Vitamins were closely associated with non-alcoholic fatty liver disease (NAFLD) development, but no study had explored the association of serum multivitamin levels with NAFLD risk. We assessed the association between serum levels of both single-vitamin and multivitamins (VA, VB6, VB9, VB12, VC, VD, and VE) and the risk of NAFLD, using the database of National Health and Nutrition Examination Survey (NHANES) (cycles 2003–2004 and 2005–2006). We employed multivariable logistic regression and weighted quantile sum (WQS) regression models to explore the association of serum multivitamin levels with NAFLD. Among all 2,294 participants, 969 participants with NAFLD were more likely to be male, older, less educated, or have hypertension/high cholesterol/diabetes. After adjustment of covariates, serum VC/VD/VB6/VB9 levels were negatively correlated with NAFLD risk, while serum VA/VE levels were positively correlated with NAFLD risk. In the WQS model, elevated serum VA/VE levels and lowered serum VC/VD/VB6 levels were linearly associated with increased NAFLD risk. There was a non-linear relationship between serum VB9/VB12 levels and NAFLD risk. There were evident associations between serum multivitamin levels and reduced NAFLD risk, which was mainly driven by VD/VB9/VC. In conclusion, our findings suggested that serum multivitamin levels were significantly associated with the risk of NAFLD.

Dose-response relationship between Chinese visceral adiposity index and type 2 diabetes mellitus among middle-aged and elderly Chinese

INTRODUCTION

China has the largest population of diabetic patients (about 116 million) in the world. As a novel model of the fat index for Chinese people, the Chinese visceral adiposity index (CVAI) was considered a reliable indicator to assess the dysfunction of visceral fat. This study aimed to explore the dose-response relationship between CVAI and type 2 diabetes mellitus (T2DM) in the Chinese population, considering CVAI as a continuous/categorical variable.

METHOD

Baseline and follow-up data were collected from waves 2011 and 2015, respectively, of the China Health and Retirement Longitudinal Study (CHARLS). Multivariate logistic regression models were used to explore the relationship between CVAI and T2DM. We built three models to adjust the possible effect of 10 factors (age, gender, education level, location, marital status, smoking status, drinking status, sleep time, systolic blood pressure (SBP), and diastolic blood pressure (DBP)) on the outcome. The restricted cubic splines were used to examine possible non-linear associations and visualize the dose-response relationship between CVAI and T2DM.

RESULTS

A total of 5,014 participants were included, with 602 (12.00%) T2DM patients. The last CVAI quartile group (Q4) presented the highest risk of T2DM (OR, 2.17, 95% CI, 1.67-2.83), after adjusting for all covariates. There was a non-linear (U-shaped) relationship between the CVAI and the risk of T2DM (p for non-linear <0.001) in the restricted cubic spline regression model. CVAI was a risk factor of T2DM when it exceeded 92.49; every interquartile range (IQR) increment in the CVAI was associated with a 57% higher risk of developing T2DM (OR = 1.57, 95% CI = 1.36-1.83) after adjusting for potential confounders. The area under the receiver operating characteristic curve (AUC) (95% confidence interval) for CVAI was 0.623, and the optimal cutoff point was 111.2. There was a significant interaction between CVAI and gender by stratified analysis.

CONCLUSION

CVAI was closely associated with the risk of T2DM and might possibly be a potential marker in predicting T2DM development. The outcome suggested that it might be better to maintain CVAI within an appropriate range.