Triglyceride to high-density lipoprotein cholesterol ratio is an independent predictor of liver fibrosis among pediatrics non-alcoholic fatty liver disease

Triglycerides/high-density lipoprotein-cholesterol ratio outperforms traditional lipid indicators in predicting metabolic dysfunction-associated steatotic liver disease among U.S. adults

Objective

Triglycerides (TG), high-density lipoprotein cholesterol (HDL-c), and their ratio (TG/HDL-c) are key lipid markers associated with metabolic dysfunction. This study aims to investigate the association of TG, HDL-c, and TG/HDL-c ratio with metabolic dysfunction-associated steatotic liver disease (MASLD) and to assess whether TG/HDL-c ratio provides superior predictive ability for MASLD compared to TG or HDL-c alone.

Importance

Although previous research has explored the relationship between TG/HDL-c and MASLD, the applicability of these findings across different ethnicities and populations remains uncertain. Additionally, this study is based on NHANES data, which relies on self-reported measures and lacks longitudinal follow-up, limiting the ability to establish causal relationships. While we adjusted for multiple covariates, residual confounding cannot be ruled out. Therefore, further large-scale, prospective studies are needed to validate these associations and assess the long-term predictive value of TG/HDL-c ratio for MASLD.

Methods

A cross-sectional study utilizing the NHANES 2017-2020 database was conducted. We performed univariate and multivariate logistic regression analyses to examine the associations between TG, HDL-c, and the TG/HDL-c ratio with MASLD. Receiver Operating Characteristic (ROC) curve analysis was used to evaluate the predictive effectiveness. Sensitivity analysis was carried out using multiple imputation for missing data and subgroup stratification to validate the findings.

Results

TG, HDL-c, and TG/HDL-c ratio were significantly associated with MASLD (p < 0.05 for all). The TG/HDL-c ratio demonstrated the highest predictive value (AUC = 0.732, 95% CI: 0.683-0.781), compared to TG (AUC = 0.713, 95% CI: 0.664-0.762) and HDL-c (AUC = 0.313, 95% CI: 0.264-0.362). The weak predictive power of HDL-c alone may be attributed to its complex role in lipid metabolism and potential confounding by other metabolic factors.

Conclusion

Maintaining favorable levels of TG, HDL-c and TG/HDL-c ratio may lower MASLD risk. Using TG/HDL-c ratio could improve prediction models compared to individual TG or HDL-c markers.

Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study

BACKGROUND

The global prevalence of non-alcoholic steatohepatitis (NASH) and its associated risk of adverse outcomes, particularly in patients with advanced liver fibrosis, underscores the importance of early and accurate diagnosis.

AIM

To develop a machine learning-based diagnostic model for advanced liver fibrosis in NASH patients.

METHODS

A total of 749 patients who underwent liver biopsy at Beijing Ditan Hospital, Capital Medical University, between January 2010 and January 2020 were included. Patients were randomly divided into training (n = 522) and validation (n = 224) cohorts. Five machine learning models were applied to predict advanced liver fibrosis, with feature selection based on Shapley Additive Explanations (SHAP). The diagnostic performance of these models was compared to traditional scores such as the aspartate aminotransferase to platelet ratio index (APRI) and fibrosis index based on the 4 factors (FIB-4), using metrics including the area under the receiver operating characteristic curve (AUROC), decision curve analysis (DCA), and calibration curves.

RESULTS

The Extreme Gradient Boosting (XGBoost) model outperformed all other machine learning models, achieving an AUROC of 0.934 (95%CI: 0.914-0.955) in the training cohort and 0.917 (95%CI: 0.880-0.953) in the validation cohort (P < 0.001). Incorporating liver stiffness measurement into the model further improved its performance, with an AUROC of 0.977 (95%CI: 0.966-0.980) in the training cohort and 0.970 (95%CI: 0.950-0.990) in the validation cohort, significantly surpassing APRI and FIB-4 scores (P < 0.001). The XGBoost model also demonstrated superior clinical utility, as evidenced by DCA and calibration curve analysis in both cohorts.

CONCLUSION

The XGBoost model provides a highly accurate, non-invasive diagnosis of advanced liver fibrosis in NASH patients, outperforming traditional methods. An online tool based on this model has been developed to assist clinicians in evaluating the risk of advanced liver fibrosis.

Web of Science-Based Visualization of Metabolic Dysfunction-Associated Fatty Liver Disease in Pediatric and Adolescent Populations: A Bibliometric Study

Background and Aims

The prevalence of metabolism-associated fatty liver disease (MAFLD) in children is on the rise. This study employs visualization and analysis to evaluate the research implications, current advancements, and emerging trends in pediatric MAFLD, with the aim of elucidating its pathogenesis and informing the development of clinical treatment strategies.

Methods

Using visualization software, we conducted a visual analysis and mapping of the journal distribution, leading institutions, prominent authors, annual publication trends, and keyword frequencies among the 1179 scholarly articles retrieved from the Web of Science Core Collection for this study.

Results

The overall publication volume demonstrated an upward trend, with a total of 200 journals, contributions from 63 countries, 882 research institutions, and 5605 authors involved, including 84 who were identified as core authors. The main research team is led by Nobili, Valerio. The main research institutions are concentrated in Italy, the United States, and China. A total of 473 keywords were included, and the keywords with high frequency and medium centricity are insulin resistance, metabolic syndrome, children, steatohepatitis, adolescents, hepatic steatosis, nash, obesity, diagnosis, and fibrosis, which resulted in six keyword clusters.

Conclusion

MAFLD represents a significant public health concern. Research on children and adolescents with MAFLD continues to attract high interest. Noninvasive diagnostic methods, pathogenesis (intestinal microbiota research), disease prediction (gene research) are current research hotspots.

Association between SPISE and NAFLD in patients with type 2 diabetes

Aims

Non-alcoholic fatty liver disease (NAFLD) is closely related to type 2 diabetes (T2D), with reduced insulin sensitivity being a key factor in their disrupted metabolic processes. The single point insulin sensitivity estimator (SPISE) is a novel index. This study aims to explore the association between SPISE and NAFLD in T2D population.

Methods

This study included a total of 2,459 patients with T2D. SPISE was calculated based on high density lipoprotein-cholesterol (HDL-c), triglycerides (TG), and body mass index (BMI). Participants were categorized into NAFLD and non-NAFLD groups based on the results of ultrasonographic diagnosis. The relationship between SPISE and NAFLD was analyzed separately for each gender.

Results

The overall prevalence of NAFLD is 38.5%. In females and males, the SPISE was significantly reduced in the NAFLD group compared to the non-NAFLD group (both P < 0.05). The prevalence of NAFLD showed a significant reduction across quartiles of the SPISE in both genders (both P < 0.05).Additionally, univariate correlation analysis showed a negative correlation between SPISE and NAFLD (both P < 0.05). In multivariate regression analysis, a reduced SPISE was identified as an independent risk factor for NAFLD (odds ratios of 0.572 and 0.737, 95% CI of 0.477-0.687 and 0.587-0.926, respectively).Moreover, the area under the receiver operating characteristic (ROC) curve for SPISE was 0.209 in females and 0.268 in males (95% CI of 0.175-0.244 and 0.216-0.320, respectively). These results are more meaningful than those of other variables.

Conclusion

SPISE is significantly reduced in NAFLD patients with T2D. Compared to other indicators, SPISE demonstrates superior predictive value in diagnosing NAFLD, and it is independent of gender.

Dihydroxyacetone phosphate is a novel predictor of hepatic fibrosis in Latino adolescents with obesity

OBJECTIVES

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common pediatric liver disease and can progress to liver fibrosis. Latino adolescents have increased MASLD and fibrosis risk. While fibrosis is diagnosed by biopsy or imaging, more accessible, noninvasive, and economical screening methods are needed. We aimed to use plasma metabolomics/lipidomics to identify potential fibrosis biomarkers in Latino adolescents with obesity.

METHODS

Liver stiffness (LS) was measured in 93 Latino adolescents with obesity using magnetic resonance elastography. Metabolites and lipids were extracted from plasma and identified on Compound Discoverer. Associations between metabolites/lipids and fibrosis (LS > 2.73 kPa) were determined using linear regression models after covariate adjustment. False discovery rate (FDR) adjusted Pearson's correlations were performed. Analytes yielding significant FDR-adjusted correlations were examined further by receiver operator curve analysis.

RESULTS

Mean (±standard deviation) alanine transaminase (ALT) was 45.7(±65.2) IU/L, hepatic fat fraction was 12.7(±9.1)%, and LS was 2.4(±0.3) kPa. We identified 795 metabolites and 413 lipids in plasma, but only one single metabolite, dihydroxyacetone phosphate (DHAP), a marker of triglyceride synthesis, was significantly associated with fibrosis after FDR adjustment (p < 0.05). In terms of predicting fibrosis, ALT had an area under the curve (AUC) of 0.79, and DHAP had an AUC of 0.79. When combined, ALT + DHAP had an AUC of 0.89.

CONCLUSIONS

The combination of ALT + DHAP may have the potential as an accurate, noninvasive test for liver fibrosis. Our data are limited to Latino children with obesity, and a larger cohort should be examined to further validate this novel biomarker.

Glucose and lipid-related indicators in relation to elevated alanine aminotransferase in a pediatric population

OBJECTIVES

To determine the associations between various glucose and lipid-related indicators with elevated alanine aminotransferase (ALT) in pediatric population.

METHODS

We analyzed the cross-sectional data of 3,771 Iranian children and adolescents aged 7-18 years using the fifth survey of a national school-based surveillance program. The predictive power of 11 different glucose and lipid-related indicators for predicting elevated ALT was examined using receiver operating characteristic (ROC) curve.

RESULTS

In the total sample non-HDL-C, non-HDL-C/HDL-C, and TC/HDL-C showed the largest area under the curve (AUC) for elevated ALT detection, with 0.731 (cut-off, 129.5 mg/dL), 0.706, and 0.706, respectively. In girls, non-HDL-C had the highest predictive value (AUC, 0.741, cut-off, 129.5 mg/dL). Among boys, non-HDL-C/HDL-C and TC/HDL-C showed the largest AUC of 0.753 with optimum cut-off values of 2.63 and 3.63, respectively.

CONCLUSIONS

The findings of this study suggest that non-HDL-C, non-HDL-C/HDL-C, and TC/HDL-C can be predictors of elevated ALT in the pediatric population. These indices can be useful in large population-based studies for predicting children and adolescents at risk of fatty liver.

Association between triglyceride to high-density lipoprotein cholesterol ratio and nonalcoholic fatty liver disease and liver fibrosis in American adults: an observational study from the National Health and Nutrition Examination Survey 2017-2020

Objective

This study investigated the link between triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and nonalcoholic fatty liver disease (NAFLD) and liver fibrosis in American adults.

Methods

Information for 6495 participants from the National Health and Nutrition Examination Survey (NHANES) 2017-2020.03 was used for this cross-sectional study. The link between TG/HDL-C ratios and NAFLD and liver fibrosis was assessed by multiple linear regression before evaluating nonlinear correlations based on smoothed curve fitting models. Stratification analysis was then applied to confirm whether the dependent and independent variables displayed a stable association across populations.

Results

TG/HDL-C ratios were positively correlated with NAFLD, with higher ratios being linked to increased prevalence of NAFLD. After adjusting for potential confounders, the odds ratios (OR) for NAFLD patients in the fourth TG/HDL-C quartile were 3.61 (95% confidence interval [CI], 2.94-4.38) (P for trend < 0.001) in comparison with those in the first quartile after adjusting for clinical variables. However, no statistical significance was noted for the ratio for liver fibrosis after adjusting for potential confounders (P for trend = 0.07). A nonlinear correlation between TG/HDL-C ratios and NAFLD was observed based on smoothed curve fitting models. However, a nonlinear relationship between the ratios and liver fibrosis was not established. In subgroup analyses, there was an interaction between smoking status and TG/HDL-C ratio in relation to the prevalence of liver fibrosis (P for interaction < 0.001).

Conclusions

Among American adults, the TG/HDL-C ratio was noted to be nonlinearly positively associated with the prevalence of NAFLD; however, this relationship was not present in liver fibrosis.

Triglyceride to HDL Cholesterol Ratio for the Identification of MASLD in Obesity: A Liver Biopsy-Based Case-Control Study

Associations between dyslipidemia and metabolic dysfunction-associated steatotic liver disease (MASLD) have been reported. Previous studies have shown that the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio may be a surrogate marker of MASLD, assessed by liver ultrasound. However, no studies have evaluated the utility of this ratio according to biopsy-proven MASLD and its stages. Therefore, our aim was to evaluate if the TG/HDL-C ratio allows for the identification of biopsy-proven MASLD in patients with obesity. We conducted a case-control study in 153 patients with obesity who underwent metabolic surgery and had a concomitant liver biopsy. Fifty-three patients were classified as no MASLD, 45 patients as metabolic dysfunction-associated steatotic liver-MASL, and 55 patients as metabolic dysfunction-associated steatohepatitis-MASH. A receiver operating characteristic (ROC) analysis was performed to assess the accuracy of the TG/HDL-C ratio to detect MASLD. We also compared the area under the curve (AUC) of the TG/HDL-C ratio, serum TG, and HDL-C. A higher TG/HDL-C ratio was observed among patients with MASLD, compared with patients without MASLD. No differences in the TG/HDL-C ratio were found between participants with MASL and MASH. The greatest AUC was observed for the TG/HDL-C ratio (AUC 0.747, p < 0.001) with a cut-off point of 3.7 for detecting MASLD (sensitivity = 70%; specificity = 74.5%). However, no statistically significant differences between the AUC of the TG/HDL-C ratio and TG or HDL-C were observed to detect MASLD. In conclusion, although an elevated TG/HDL-C ratio can be found in patients with MASLD, this marker did not improve the detection of MASLD in our study population, compared with either serum TG or HDL-C.

Association with the plasma atherogenic index with hepatic steatosis and fibrosis in the US population

Plasma atherogenic index (AIP) reflects a novel intricate biochemical indicator of lipids' metabolism. The involvement of lipid metabolism for pathogenesis concerning nonalcoholic fatty liver disease (NAFLD) has been established. However, the precise association across AIP and hepatic steatosis and fibrosis remains unclear. This present investigation explored the potential correlation across AIP, hepatic steatosis and fibrosis. Data were acquired through National Health and Nutrition Examination Survey (NHANES) from 2017 to 2020. Hepatic steatosis was detected through the controlled attenuation parameter (CAP), while hepatic fibrosis was examined via liver stiffness measurement (LSM). The study employed multiple linear, Fitted smoothed curves and subgroup analyses were used for investigating relationships between the AIP, CAP, and LSM. The study recruited 6239 participants. In multivariate linear regression analysis, findings indicated a remarkable correlation between AIP and exacerbated NAFLD risk [odds ratio (95% confidence interval), 1.17 (1.12, 1.21)]. Analysis further revealed a positive link across AIP and hepatic steatosis, as indicated through the CAP [β (95% CI), 4.07 (3.32, 4.82)]. Tests for non-linearity, revealed a non-linear correlation between AIP and CAP (inflection point = 0.22). Subgroup analyses assessed the consistency of the link across AIP and CAP, indicating that the association remained comparable across all subgroups. Following the adjustment for all relevant variables, the linear regression analysis revealed a lack of statistical significance across the AIP and hepatic fibrosis. [LSM, β (95% CI), -0.39 (-1.06, 0.28), P = .2501]. Smooth-fitting curves examined the link across AIP and LSM and showed a U-shaped pattern, indicating their positive correlation with AIP less than 0.48. However, no significant correlation was observed with AIP more than 0.48. This study highlighted a substantial positive relationship across AIP and hepatic steatosis, as measured through CAP, and suggests that it may be used as an efficient and rapid measure for clinical prediction of hepatic steatosis.