BACKGROUND: Non-alcoholic fatty liver disease (NAFLD), now known as Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD), is linked to cardiovascular disease. This renaming emphasizes the role of metabolic problems. Coronary artery calcification (CAC) reflects early coronary artery disease, but data on the MAFLD-CAC link is limited. OBJECTIVE: To demonstrate the association between metabolic dysfunction-associated fatty liver disease (MAFLD) based on its criteria and coronary artery calcification, as measured by CT CAC score. METHODS: This single-center retrospective study involved adult Filipino patients who underwent CT CAC scoring between January 2021 and January 2023. Clinical and laboratory data were obtained via review of electronic records. RESULTS: This study involved 147 patients with an average age of 62 years, primarily females (57.14%), and mostly falling into the Obese-Class I category (31.29%). The most common comorbidities were hypertension (95.24%), dyslipidemia (62.59%), and diabetes mellitus (38.1%). In terms of CAC scores using the CT Agatston method, majority (30.61%) had low calcium buildup (Stage 2 with scores between 1-99). Approximately 26.53% had higher liver fat content with liver HU below 40, while 73.47% had lower liver fat content with HU equal to or greater than 40. Furthermore, 25.17% of patients with fatty livers and other risk factors were diagnosed with MAFLD, while 74.83% were not. The p-value indicated a significant difference in proportions, suggesting a lower proportion of MAFLD among those who had undergone CT CAC scoring. However, the Pearson Chi-Square statistic (4.051) and the p-value (0.256) indicated no statistically significant association between MAFLD and CT CAC. CONCLUSION The study found a notably lower proportion of MAFLD diagnoses in patients who underwent CT CAC scoring. Additionally, there was no statistically significant link between MAFLD and CT CAC.
Cardiovascular Diseases ; Coronary Artery Disease ; Fatty Liver, Alcoholic

BACKGROUND

Non-Alcoholic Fatty Liver Disease (NAFLD) is common in Type 2 Diabetes Mellitus (T2DM). The FIB-4 index is one of the most-studied non-invasive biomarkers that combines age and laboratory parameters (platelet count, alanine-and aspartate- aminotransferase) to evaluate underlying hepatic fibrosis. This study aims to determine the diagnostic value of Fibrosis-4 (FIB-4) index scoring in screening for non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus, which is a high-risk population in development of advance fibrosis.

A single center, analytical cross-sectional study was conducted among adult T2DM patients with and without NAFLD seen at the Out-Patient Department (OPD) and those with NAFLD enrolled under the Liver Disease Databank of the Liver Disease and Transplant Center in collaboration with Research and Biotechnology Division at St. Luke’s Medical Center, Quezon City. Medical history was obtained by reviewing charts of eligible patients using data collection form. Liver ultrasound was used as the reference standard in the diagnosis of NAFLD. The FIB-4 index was calculated with this formula: age (years) x AST (U/L)/(platelets (10^9/L) x ALT (U/L)^1/2.

A total of 305 adult patients with type 2 diabetes mellitus were included in the study. The prevalence of non-alcoholic fatty liver disease based on ultrasound among diabetic patients is 76.07%. The median age (p = 0.0204), AST (p < 0.00001), ALT (p < 0.00001) were significantly higher in patients with NAFLD than those without. Platelet count (p = 0.0002) was significantly lower in patients with NAFLD than those without. The proportion of patients with low platelet count, high AST and high ALT were significantly higher in patients with NALFD than those without. In this study, the FIB-4 index cutoff score for screening of NAFLD is ≥0.76, which has an accuracy of 66.23%, sensitivity of 75%, specificity of 38.3%, PPV of 79.46% and NPV of 32.56% in detecting fatty liver.

A FIB-4 index value of ≥0.76 has an acceptable sensitivity for screening NAFLD even in the absence of fibrosis among patients with T2DM. However, due to its low specificity, additional tests to establish NAFLD diagnosis may be required.

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is prevalent in patients with Type 2 Diabetes Mellitus (T2DM) and is associated with chronic kidney disease (CKD). The aim of this cross-sectional study was to determine the association of Fibrosis-4 (FIB-4) index with CKD among T2DM patients with concomitant NAFLD.

A single center, analytical cross-sectional study was conducted among 216 T2DM patients with concomitant NAFLD. Clinical data were obtained via retrospective review of medical charts. The outcome of interest was CKD which was based on self-report obtained from medical charts or estimated Glomerular Filtration Rate (eGFR)RESULTS

Higher FIB-4 index was found to be significantly associated with CKD. Patients with FIB-4 index of 1.45-3.25 (moderate risk) and >3.25 (high risk) have about 3 times higher odds of CKD. However, after controlling for the significant confounders, only those who belong to high-risk group was found to be associated with CKD.

This study has demonstrated that FIB4 index > 3.25, an index of liver fibrosis, is significantly associated with development of CKD in T2DM patients with concomitant NAFLD.

Non-alcoholic fatty liver disease (NAFLD) is one of the most prevalent causes of chronic liver disease worldwide which is often seen in patients with metabolic abnormalities such as those with obesity and insulin resistance. On the other hand, sarcopenia is a generalized and progressive skeletal muscle disorder characterized by low muscle strength, low muscle quality, low physical performance, or a combination of the three. Both disease entities share several underlying risk factors and pathophysiologic mechanisms. These include: (1) cardiometabolic overlaps such as insulin resistance, chronic systemic inflammation, decreased vitamin D levels, sex hormone modifications; (2) muscle-related factors such as those mitigated by myostatin signaling, and myokines (i.e., irisin); and (3) liver-dysfunction related factors such as those associated with growth hormone/insulin-like growth factor 1 Axis, hepatokines (i.e., selenoprotein P and leukocyte cell-derived chemotaxin-2), fibroblast growth factors 21 and 19 (FGF21 and FGF19), and hyperammonemia. This narrative review will examine the pathophysiologic overlaps that can explain the links between NAFLD and sarcopenia. Furthermore, this review will explore the emerging roles of nonpharmacologic (e.g., weight reduction, diet, alcohol, and smoking cessation, and physical activity) and pharmacologic management (e.g., roles of β-hydroxy-β-methylbutyrate, branched-chain amino acid supplements, and testosterone therapy) to improve care, intervention sustainability, and acceptability for patients with sarcopenia-associated NAFLD.
Non-alcoholic Fatty Liver Disease ; Sarcopenia

BACKGROUND AND AIM: Remnant cholesterol (remnant-C) mediates the progression of major adverse cardiovascular events. It is unclear whether remnant-C, and particularly cumulative exposure to remnant-C, is associated with nonalcoholic fatty liver disease (NAFLD). This study aimed to explore whether remnant-C, not only baseline but cumulative exposure, can be used to independently evaluate the risk of NAFLD. METHODS: This study included 1 cohort totaling 21,958 subjects without NAFLD at baseline who underwent at least 2 repeated health checkups and 1 sub-cohort totaling 2,649 subjects restricted to those individuals with at least 4 examinations and no history of NAFLD until Exam 3. Cumulative remnant-C was calculated as a timeweighted model for each examination multiplied by the time between the 2 examinations divided the whole duration. Cox regression models were performed to estimate the association between baseline and cumulative exposure to remnant-C and incident NAFLD. RESULTS: After multivariable adjustment, compared with the quintile 1 of baseline remnant-C, individuals with higher quintiles demonstrated significantly higher risks for NAFLD (hazard ratio [HR] 1.48, 95%CI 1.31-1.67 for quintile 2; HR 2.07, 95%CI 1.85-2.33 for quintile 3; HR 2.55, 95%CI 2.27-2.88 for quintile 4). Similarly, high cumulative remnant-C quintiles were significantly associated with higher risks for NAFLD (HR 3.43, 95%CI 1.95-6.05 for quintile 2; HR 4.25, 95%CI 2.44-7.40 for quintile 3; HR 6.29, 95%CI 3.59-10.99 for quintile 4), compared with the quintile 1. CONCLUSION Elevated levels of baseline and cumulative remnant-C were independently associated with incident NAFLD. Monitoring immediate levels and longitudinal trends of remnant-C may need to be emphasized in adults as part of NAFLD prevention strategy.
Adult ; Humans ; Cohort Studies ; Non-alcoholic Fatty Liver Disease/etiology* ; Cholesterol ; Proportional Hazards Models ; Risk Factors

OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China

Objective: Bariatric surgery effectively treats non-alcoholic fatty liver disease (NAFLD). The glutamate-serine-glycine (GSG) index has emerged as a non-invasive diagnostic marker for NAFLD, but its ability to monitor treatment response remains unclear. This study investigates the GSG index's ability to monitor NAFLD's response to bariatric surgery. Methodology: Ten NAFLD participants were studied at baseline and 6 months post-bariatric surgery. Blood samples were collected for serum biomarkers and metabolomic profiling. Hepatic steatosis [proton density fat fraction (PDFF)] and fibroinflammation (cT1) were quantified with multiparametric magnetic resonance imaging (mpMRI), and hepatic stiffness with magnetic resonance elastography (MRE). Amino acids and acylcarnitines were measured with mass spectrometry. Statistical analyses included paired Student’s t-test, Wilcoxon-signed rank test, and Pearson’s correlation. Results: Eight participants provided complete data. At baseline, all had hepatic steatosis (BMI 39.3 ± 5.6 kg/m2, PDFF ≥ 5%). Post-surgery reductions in PDFF (from 12.4 ± 6.7% to 6.2 ± 2.8%, p = 0.013) and cT1 (from 823.3 ± 85.4ms to 757.5 ± 41.6ms, p = 0.039) were significant, along with the GSG index (from 0.272 ± 0.03 to 0.157 ± 0.05, p = 0.001). Conclusion The GSG index can potentially be developed as a marker for monitoring the response of patients with NAFLD to bariatric surgery.
Non-alcoholic Fatty Liver Disease ; Amino Acids ; Metabolomics

OBJECTIVE: To analyze the clinical features of overweight and obese rheumatoid arthritis (RA)patients, and the relationship between body mass index (BMI) and disease characteristics. METHODS: The demographic data, extra-articular manifestations, comorbidities, and disease activity of RA patients admitted to the Rheumatology and Immunology Department of Peking University Third Hospital from January 2015 to December 2020 were collected, and the above characteristics of overweight and obese RA patients were retrospectively analyzed. According to the WHO, BMI≥30 kg/m² referred to obese individuals, 25≤BMI < 30 kg/m² referred to overweight individuals, 18.5≤BMI < 25 kg/m² referred to normal individuals, BMI < 18.5 kg/m² referred to reduced body mass individuals. t test was used for the quantitative data in accordance with normal distribution. Wilcoxon rank sum test was used for the quantitative data of non-normal distribution. The qualitative data were analyzed by chi square test. But while 1≤theoretical frequency < 5, Chi square test of corrected four grid table was used. And Fisher exact probability method was used when theoretical frequency < 1. Analyzing whether overweight or obesity was associated with comorbidities using Logistic regression adjusted confounding factors. RESULTS: A total of 481 RA patients were included in this study, with an average BMI value of (23.28±3.75) kg/m².Of the patients, 31 cases (6.5%) were with BMI < 18.5 kg/m², 309 cases (64.2%) with 18.5≤ BMI < 25 kg/m², amounting to 340 cases (70.7%). There were 119 overweight individuals (25≤ BMI < 30 kg/m², 24.7%) and 22 obese individuals (BMI≥30 kg/m², 4.6%), totaling 141 (29.3%).The proportion of the overweight and obese RA patients suffering from hypertension (57.4% vs. 39.1%, P < 0.001), diabetes (25.5% vs. 15.0%, P=0.006), hyperlipidemia (22.7% vs. 10.9%, P=0.001), fatty liver (28.4% vs. 7.4%, P < 0.001), osteoarthritis (39.0% vs. 29.4%, P=0.040) was significantly higher, and the proportion of the patients with osteoporosis(59.6% vs. 70.9%, P=0.016) and anemia (36.2% vs. 55.6%, P < 0.001) was significantly lower. However, there was no difference between the two groups in coronary heart disease (5.7% vs. 7.6%, P=0.442), cerebrovascular disease (6.4% vs. 8.8%, P=0.372) and peripheral atherosclerosis (9.2% vs. 7.6%, P=0.565).The median C-reactive protein (CRP, 1.52 mg/dL vs. 2.35 mg/dL, P=0.008), median erythrocyte sedimentation rate (ESR, 34.0 mm/h vs. 50.0 mm/h, P=0.003), pain visual simulation score (VAS) (3.66±3.08 vs. 4.40±2.85, P=0.011), and 28 joint disease activity scores (DAS-28, 5.05±1.60 vs. 5.45±1.52, P=0.010) in the overweight and obese RA group were all lower than those in the normal and reduced weight groups. Multivariate regression analysis showed that overweight and obesity was an independent risk factor for hypertension, diabetes, hyperlipidemia and fatty liver, and had protective effects on osteoporosis and anemia. CONCLUSION In RA patients, RA disease activity is lower in overweight and obesity patients. Overweight and obesity is associated with hypertension, diabetes and hyperlipidemia, but not with cardiovascular and cerebrovascular diseases.
Humans ; Body Mass Index ; Overweight/epidemiology* ; Retrospective Studies ; Arthritis, Rheumatoid/epidemiology* ; Obesity/epidemiology* ; Diabetes Mellitus ; Hypertension/complications* ; Fatty Liver/complications* ; Hyperlipidemias/complications* ; Osteoporosis/complications* ; Anemia

Non-alcoholic fatty liver disease (NAFLD) is a metabolic-related disorder induced by multiple factors and mainly characterized by excessive fat buildup in hepatocytes. With the consumption of a Western-style diet and obesity prevalence in recent years, the incidence of NAFLD has gradually increased, becoming an increasingly serious public health problem. Bilirubin is a heme metabolite and a potent antioxidant. Studies have demonstrated that bilirubin levels have an inverse correlation with the incidence rate of NAFLD; however, which form of bilirubin plays the main protective role is still controversial. It is considered that the main protective mechanisms for NAFLD are bilirubin antioxidant properties, insulin resistance reduction, and mitochondrial function. This article summarizes the correlation, protective mechanism, and possible clinical application of NAFLD and bilirubin.
Humans ; Non-alcoholic Fatty Liver Disease/metabolism* ; Bilirubin ; Antioxidants ; Obesity/complications* ; Hepatocytes/metabolism* ; Liver/metabolism*

Humans ; Nicotine ; Non-alcoholic Fatty Liver Disease ; Bacteroides