Biochemical Profile of Nonalcoholic Fatty Liver Disease Patients in Eastern India with Histopathological Correlation

S, Kingsley A, Thekkumkara Surendran Nair A, Gomez R, G P, Thambi T.S. A, N. S. Prevalence of Transaminitis and Metabolic Dysfunction-Associated Steatotic Liver Disease Among Young Indian Adults-A Population-Based Study

Background

Metabolic dysfunction-associated steatotic liver disease (MASLD) with onset in youth may be more consequential for adverse outcomes than that detected later in adulthood. Transaminitis in the general population is a marker of the prevalence of MASLD. There are no previous community-based studies in Indian youth assessing the prevalence of transaminitis. The purpose of this study was to find out the prevalence of transaminitis, MASLD and elevated Fibrosis-4 (FIB-4) index among young South Indian adults.

Methods

This was a cross-sectional study done over a period of 1 year from January 2022 among adults aged 18-30 years. Multistage sampling was used to recruit participants with body mass index (BMI) < 30 kg/m2 and without moderate to heavy alcohol consumption from four different sociogeographic regions. Detailed history, physical examination and investigations including liver enzymes (alanine aminotransferase [ALT] and aspartate aminotransferase [AST]), platelet count, and metabolic workup were carried out. FIB-4 index and Nonalcoholic fatty liver disease-liver fat score (NAFLD-LFS) were calculated. LFS ≥ -0.64 was used to rule in MASLD.

Results

A total of 2373 (1170 males) participants with a mean age of 24 ± 3.5 years were included. Transaminitis (AST or ALT≥35 IU/L) was seen in 25.9% of the cohort. MASLD by NAFLD-LFS was present in 27.4% of the population. FIB-4 index ≥1.3 was found in 54 (2.27%) participants. Neck circumference and Trivandrum Medical College adiposity index were associated with transaminitis, MASLD, and elevated FIB-4. Blood pressure, triglycerides, and low-density lipoprotein cholesterol were higher, and high-density lipoprotein cholesterol was lower among participants with transaminitis, but they were not different among those with elevated FIB-4 index. BMI and waist-hip ratio were not different among participants with and those without transaminitis or MASLD.

Conclusion

There is a high prevalence of transaminitis and MASLD in community-dwelling young adult Indians. We recommend screening all young adult Indians for MASLD and transaminitis.

Machine Learning-Based Biomarker Identification for Early Diagnosis of Metabolic Dysfunction-Associated Steatotic Liver Disease

AIM

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an umbrella term for simple hepatic steatosis and the more severe metabolic dysfunction-associated steatohepatitis. The current reliance on liver biopsy for diagnosis and a lack of validated biomarkers are major factors contributing to the overall burden of MASLD. This study investigates the association between biomarkers and hepatic steatosis and stiffness measurements, measured by FibroScan®.

METHODS

Data from the National Health and Nutritional Examination Survey (2017-2020) was collected for 15,560 patients. Propensity score matching balanced the data with a 1:1 case-to-control for age and sex allowing for preliminary trend assessment. Random Forest machine learning determined variable importance for the incorporation of key biomarkers (age, sex, race, BMI, HbA1C, PFG, insulin, total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides, ALT, AST, ALP, albumin, GGT, LDH, iron, total bilirubin, total protein, uric acid, BUN, and hs-CRP) into logistic regression models predicting steatosis (MASLD indicated by a controlled attenuation parameter™ score of >238 dB/m) and stiffness (hepatic fibrosis indicated by a median liver stiffness >7 kPa). Sensitivity analysis using XGBoost and Recursive Feature Elimination was performed.

RESULTS

The Random Forest models (the most accurate) predicted MASLD with 79.59% accuracy (p<0.001) and specificity of 84.65% and, hepatic fibrosis with 86.07% accuracy (p<0.001) and sensitivity of 98.01%. Both the steatosis and stiffness models identified statistically significant biomarkers, with age, BMI, and insulin appearing significant to both.

CONCLUSION

These findings indicate that assessing a variety of biomarkers, across demographic, metabolic, lipid, and standard biochemistry categories, may provide valuable initial insights for diagnosing patients for MASLD and hepatic fibrosis.

Extracellular vesicle-mediated approaches for the diagnosis and therapy of MASLD: current advances and future prospective

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an asymptomatic, multifaceted condition often associated with various risk factors, including fatigue, obesity, insulin resistance, metabolic syndrome, and sleep apnea. The increasing burden of MASLD underscores the critical need for early diagnosis and effective therapies. Owing to the lack of efficient therapies for MASLD, early diagnosis is crucial. Consequently, noninvasive biomarkers and imaging techniques are essential for analyzing disease risk and play a pivotal role in the global diagnostic process. The use of extracellular vesicles has emerged as promising for early diagnosis and therapy of various liver ailments. Herein, a comprehensive summary of the current diagnostic modalities for MASLD is presented, highlighting their advantages and limitations while exploring the potential of extracellular vesicles (EVs) as innovative diagnostic and therapeutic tools for MASLD. With this aim, this review emphasizes an in-depth understanding of the origin of EVs and the pathophysiological alterations of these ectosomes and exosomes in various liver diseases. This review also explores the therapeutic potential of EVs as key components in the future management of liver disease. The dual role of EVs as biomarkers and their therapeutic utility in MASLD essentially highlights their clinical integration to improve MASLD diagnosis and treatment. While EV-based therapies are still in their early stages of development and require substantial research to increase their therapeutic value before they can be used clinically, the diagnostic application of EVs has been extensively explored. Moving forward, developing diagnostic devices leveraging EVs will be crucial in advancing MASLD diagnosis. Thus, the literature summarized provides suitable grounds for clinicians and researchers to explore EVs for devising diagnostic and treatment strategies for MASLD.

Understanding Insulin Resistance in NAFLD: A Systematic Review and Meta-Analysis Focused on HOMA-IR in South Asians

Non-alcoholic fatty liver disease (NAFLD), a metabolic condition, is becoming increasingly common in South Asia. While its clinical diagnosis primarily relies on sonography and altered hepatic biomarkers, the significance of non-hepatic indicators, such as Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), in relation to NAFLD requires further examination in the South Asian population due to ethnic differences in these markers. This study examined the relationship between insulin resistance, quantified using the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), and NAFLD, along with other non-hepatic biomarkers. A thorough literature review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched the PubMed, Embase, and Google Scholar databases, yielding 287 articles. After applying the selection criteria and screening, 22 studies were selected for inclusion in the analysis. We extracted and meta-analyzed the data on HOMA-IR in patients with NAFLD, along with other relevant parameters. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of observational studies, whereas the RoB 2.0 tool was employed for randomized controlled trials (RCTs). The systematic review uncovered that individuals with NAFLD demonstrated statistically significant elevations in HOMA-IR levels, with a weighted mean difference (WMD) of 1.28 (95% confidence interval (CI): 1.00-1.58, I² = 98%, p < 0.0001) when compared to healthy subjects. Additionally, NAFLD patients showed markedly higher fasting blood glucose (FBG) levels, with a combined mean difference of 15.64 mg/dL (95% CI: 11.03-20.25, I² = 92%, p < 0.0001). The analysis also revealed increased triglyceride levels in NAFLD patients, with a pooled mean difference of 42.49 mg/dL (95% CI: 29.07-55.91, I² = 97%, p < 0.0001), and elevated C-reactive protein (CRP) levels, with a pooled mean difference of 2.17 mg/L (95% CI: 2.01-2.33, I² = 23%, p < 0.0001). Interestingly, subgroup analysis indicated that obese NAFLD patients exhibited significantly higher HOMA-IR levels than their non-obese counterparts, with a weighted mean difference of 5.85 (95% CI: 4.88-6.81, I² = 0%, p < 0.0001). Variations in study methodology, diagnostic techniques, and subject demographics were identified as sources of heterogeneity. The analysis found little evidence of publication bias, which lends credibility to the results. In South Asian populations, higher HOMA-IR, triglyceride-glucose (TyG) index, and CRP levels are associated with an increased risk of NAFLD. To improve the understanding and treatment of NAFLD in this specific demographic group, it is necessary to establish uniform diagnostic criteria and conduct additional studies, particularly RCTs.

Fatty Liver Index is a valid predictor of non-alcoholic fatty liver disease (NAFLD) in pregnancy

BACKGROUND

Despite the evidence for adverse pregnancy outcomes, non-alcoholic fatty liver disease (NAFLD) is not routinely addressed in early pregnancy. The Fatty Liver Index (FLI) has been proposed as a screening tool for NAFLD in the general population. We aim to develop mathematical models for predicting NAFLD in pregnancy and validate the FLI for first-trimester pregnant women.

METHODS

Biochemical and biophysical parameters were analysed in pregnant women with period of gestation <12 weeks was done among Rajarata Pregnancy Cohort, Sri Lanka. Fatty liver was graded as (FLG) 0, I or II by ultrasound scan. Binary logistic regression models were employed to identify the factors predicting FLG-II. Six FLIs were developed to predict FLG-II. Validity of the FLIs was compared using the receiver operating characteristic curves.

RESULTS

The study sample consisted of 632 pregnant women with a mean age of 28.8 years (SD: 5.8 years). Age (OR: 1.6, 95% CI 1.1 to 2.3), body mass index (OR: 1.7, 95% CI 1.1 to 2.5) and gamma-glutamyl transferase levels (OR: 2.1, 95% CI 1.5 to 3.0) were the independent predictors of FLG-II. While the model with liver enzymes provided the best prediction of NAFLD (both FLG I and II) (area under the curve [(AUC]): -0.734), the highest AUC (0.84) for predicting FLG-II was observed with the full model (model with all parameters). The proposed budget model (AUC >0.81) is the best model for screening fatty liver in community health setup.

CONCLUSION

FLIs could be used as screening tools for NAFLD based on resource availability in different settings. External validation of the FLI and further investigation of the proposed FLI as a predictor of adverse pregnancy outcomes are recommended.

Comparison of Body Mass Index and Fat Indices in Predicting the Severity of Nonalcoholic Fatty Liver Disease Among Children Who Are Overweight and Obese

Background: Information of the relationships between body mass parameters and the severity of fatty liver is deficient in pediatric nonalcoholic fatty liver disease (NAFLD). Methods: The relationships between body mass parameters (waist circumference [WC], body mass index [BMI], and abdominal subcutaneous fat thickness [ASFT]) and the severity of fatty liver were prospectively evaluated in pediatric patients who are overweight or obese, suffering from NAFLD. Ultrasonography was performed to assess fatty liver and its severity on a three-grade scale (low-grade fatty liver [LGFL], grade 1 or 2; high-grade fatty liver [HGFL], grade 3). Results: A total of 110 subjects (55 LGFL and 55 HGFL) aged 6.2-17.9 years were included. The WC, BMI, and ASFT values were significantly higher in the HGFL group compared to those in the LGFL group (p = 0.00004, 0.01, and 0.04, respectively). WC had the greatest power to predict HGFL under receiver-operating characteristic curve analyses and was positively correlated with the severity of fatty liver in subjects aged 6-12-year old and 13-17-year old (p = 0.007, and 0.0039, respectively). ASFT showed a positive correlation with the severity of fatty liver in subjects aged 13-17-year old (p = 0.04). Conclusions: WC, BMI, and ASFT are predictive of severe NAFLD among children who are overweight and obese; particularly, WC has the most predictive accuracy. Among the parameters, WC and ASFT are predictive in specific age groups.

Primary Versus Secondary NAFLD: Perspective on Advanced Fibrosis

BACKGROUND

The presence of macrovesicular steatosis on liver biopsy is the commonest histopathological finding. Nonalcoholic fatty liver disease (NAFLD) is the presence of ≥5% macrovesicular steatosis without significant alcohol use. It is subdivided into primary and secondary NAFLD; information on their differences is limited.

AIM

To determine the histopathological differences between primary and secondary NAFLD and establish whether the prevalence of advanced fibrosis varies between the two types.

METHODOLOGY

Three years of retrospective study of 90 liver biopsies with ≥5% macrovesicular steatosis. Age, gender, clinical history, serum transaminase levels were noted. The biopsy was reviewed for steatosis, inflammation, and fibrosis. Differences between primary and secondary NAFLD for age, gender, AST/ALT ratio, histopathological features were determined. Descriptive statistical analysis, 2-tailed Student's t test, Chi-square test, Fisher's exact test were used, where p < 0.05 was considered significant.

RESULT

Primary and secondary NAFLD were 42 (46.7%) and 48 (53.3%), respectively. Inflammation was noted in 50 (55.5%) and fibrosis in 31 (34.4%). The prevalence of advanced fibrosis was 24.4%. Primary and secondary NAFLD differed significantly on ballooning degeneration, Mallory Denk bodies (MDBs), glycogenated nuclei, and fibrosis stage (p < 0.05). There were no significant differences among AST/ALT ratio, steatosis, and inflammation grade.

CONCLUSION

Primary NAFLD is a more severe type of liver disease. On histopathology, ballooning degeneration, MDBs, glycogenated nuclei, and advanced fibrosis was more prevalent in primary than secondary NAFLD.

Prevalence of non-alcoholic fatty liver disease and factors associated with it in Indian women with a history of gestational diabetes mellitus

Aims/Introduction

This study aims to evaluate the prevalence of and factors associated with non‐alcoholic fatty liver disease (NAFLD) in Indian women with prior gestational diabetes mellitus (GDM) diagnosed using International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria.

Materials and Methods

This cross‐sectional study (2018–2019) enrolled women with and without prior GDM. Study participants underwent detailed assessments, including relevant medical, obstetric and demographic details; 75‐g oral glucose tolerance test with glucose and insulin estimation at 0, 30 and 120 min; and other relevant biochemical and anthropometric measurements. NAFLD status was defined by ultrasonography.

Results

We evaluated a total of 309 women (201 and 108 with and without prior GDM, respectively) at a mean age of 31.9 ± 5.0 years and median of 16 months (interquartile range 9–38 months) following the index delivery. The prevalence of NAFLD was significantly higher in women with prior GDM (62.7% vs 50.0%, P = 0.038; grade 2 and 3 disease, 13.9% vs 6.5%). On logistic regression analysis (fully adjusted model), the odds of NAFLD were 2.11‐fold higher in women with prior GDM (95% confidence interval 1.16–3.85, P = 0.014). Overweight/obesity, metabolic syndrome, prediabetes and homeostasis model of assessment of insulin resistance (a measure of insulin resistance) were positively associated with NAFLD, whereas the Matsuda index (a measure of insulin sensitivity) showed a negative association with NAFLD.

Conclusions

The prevalence of NAFLD is high in women with prior GDM. Such women also have a high burden of cardiometabolic risk factors. Future studies should evaluate the intermediate and long‐term hepatic and cardiovascular risk, and the impact of lifestyle interventions in reducing morbidity in such women.

Metabolic syndrome is not uncommon among lean non-alcoholic fatty liver disease patients as compared with those with obesity

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is associated with obesity, which is known to be associated with metabolic syndrome (MS). However, the risk factors for NAFLD in absence of obesity (leanness) is not well-studied. This study aimed to investigate and compare the clinical characteristics, metabolic associations, and cardiovascular risk factors among patients having NAFLD with (body mass index [BMI] ≥ 23 kg/m²) or without obesity (BMI < 23 kg/m²).

METHODS

The cross-sectional study was conducted among the outdoor and indoor patients diagnosed as NAFLD by ultrasonography in a tertiary care teaching hospital in eastern India. Relevant anthropometric measurements, laboratory investigations, and imaging were performed. Metabolic syndrome was classified by the "International Diabetes Federation, 2005" criteria.

RESULTS

Among 120 NAFLD patients, 37 (30.8%) were lean, while 83 (69.2%) were obese. The components of MS such as systolic blood pressure (lean, 138.0 ± 17.6 mmHg; obese, 137.9 ± 15.3 mmHg), diastolic blood pressure (lean, 88.9 ± 6.5 mmHg; obese, 87.3 ± 6.1 mmHg), fasting blood sugar (lean, 127.8 ± 30.8 mg/dL; obese, 135.1 ± 29.5 mg/dL), and serum triglyceride (lean, 170.5 ± 34.2 mg/dL; obese, 186.4 ± 43.8 mg/dL) were comparable among patients with obese and lean NAFLD and were more often abnormal among both the groups of NAFLD as compared with controls.

CONCLUSION

The overall prevalence of MS among NAFLD study population was 64.2%. Lean NAFLD was also associated with the component of MS like obese NAFLD.

Biochemical markers and lipid profile in nonalcoholic fatty liver disease patients in the PERSIAN Guilan cohort study (PGCS), Iran

BACKGROUND AND AIM

Nonalcoholic fatty liver disease (NAFLD) is a global epidemic that is often asymptomatic and silent, and progresses slowly. This study aimed to determine the biochemical markers and lipid profile among NAFLD patients and their possible relationship with degrees of fatty liver.

METHODS

This is analytical cross-sectional study, in which, 950 individuals referred to the PERSIAN Guilan cohort study were included through sequential sampling method. The demographic information and blood pressure of the subjects were taken and the blood sample was prepared to investigate the biochemical markers and lipid profile. Also, abdominal ultrasonography was performed to investigate NAFLD and its grades. For data analysis, independent sample t-test, one-way ANOVA, and logistic regression model were used, where P < 0.05 was considered significant.

RESULTS

The systolic blood pressure (SBP) (P < 0.001), diastolic blood pressure (DBP) (P < 0.001), hepatic enzymes (aspartate aminotransferase [AST], P < 0.001, alanine aminotransferase [ALT], P < 0.001; gamma-glutamyle transferase [GGT], P < 0.001; AST/ALT ratio, P < 0.001), lipid profile (triglyceride [TG], P < 0.001; total cholesterol [TC], P = 0.008; high density lipoprotein [HDL], P < 0.001; LDL-C/HDL-C (ratio), P = 0.003; TC/HDL-C (ratio), P < 0.001); and fasting blood sugar [FBS], P < 0.001 correlated with NAFLD. However, there was no relationship between age (P = 0.34), alkaline phosphatase [ALP] (P = 0.26) and low-density lipoprotein [LDL] (P = 0.72). Further, a significant relationship was observed between AST (P < 0.001), ALT (P < 0.001), and GGT (P = 0.004) and NAFLD degrees based on the ultrasonography.

CONCLUSION

Biochemical markers and lipid profile are associated with NAFLD. Thus, it is recommended to investigate NAFLD in clinical settings in cases in which their changes are observed in patients through ultrasonography.