Correlation of Body Mass Index and Serum Parameters With Ultrasonographic Grade of Fatty Change in Non-alcoholic Fatty Liver Disease

Bioinformatics analysis and machine learning approach applied to the identification of novel key genes involved in non-alcoholic fatty liver disease

Non-alcoholic fatty liver disease (NAFLD) comprises a range of chronic liver diseases that result from the accumulation of excess triglycerides in the liver, and which, in its early phases, is categorized NAFLD, or hepato-steatosis with pure fatty liver. The mortality rate of non-alcoholic steatohepatitis (NASH) is more than NAFLD; therefore, diagnosing the disease in its early stages may decrease liver damage and increase the survival rate. In the current study, we screened the gene expression data of NAFLD patients and control samples from the public dataset GEO to detect DEGs. Then, the correlation betweenbetween the top selected DEGs and clinical data was evaluated. In the present study, two GEO datasets (GSE48452, GSE126848) were downloaded. The dysregulated expressed genes (DEGs) were identified by machine learning methods (Penalize regression models). Then, the shared DEGs between the two training datasets were validated using validation datasets. ROC-curve analysis was used to identify diagnostic markers. R software analyzed the interactions between DEGs, clinical data, and fatty liver. Ten novel genes, including ABCF1, SART3, APC5, NONO, KAT7, ZPR1, RABGAP1, SLC7A8, SPAG9, and KAT6A were found to have a differential expression between NAFLD and healthy individuals. Based on validation results and ROC analysis, NR4A2 and IGFBP1b were identified as diagnostic markers. These key genes may be predictive markers for the development of fatty liver. It is recommended that these key genes are assessed further as possible predictive markers during the development of fatty liver.

Association between hemoglobin glycation index and non-alcoholic fatty liver disease in the patients with type 2 diabetes mellitus

AIMS/INTRODUCTION

The hemoglobin glycation index (HGI) represent the disparity between actual glycated hemoglobin measurements and predicted HbA1c. It serves as a proxy for the degree of non-enzymatic glycation of hemoglobin, which has been found to be positively correlated with diabetic comorbidities. In this study, we investigated the relationship between HGI and non-alcoholic fatty liver disease (NAFLD), along with other relevant biological markers in patients with diabetes.

MATERIALS AND METHODS

This cross-sectional study consisted of 3,191 adults diagnosed with type 2 diabetes mellitus. We calculated the predicted glycated hemoglobin levels based on fasting blood glucose levels. Multivariate binary logistic regression analysis was conducted to examine the correlation between the HGI and NAFLD. Hepatic steatosis was diagnosed using ultrasonography.

RESULTS

Among all participants, 1,784 (55.91%) were diagnosed with NAFLD. Participants with confirmed NAFLD showed elevated body mass index, diastolic blood pressure, liver enzyme, total cholesterol, triglyceride, low-density lipoprotein and uric acid levels compared with those without NAFLD. In the unadjusted model, participants in the last tertile of HGI were 1.40-fold more likely to develop NAFLD than those in the first tertile (95% confidence interval 1.18-1.66; P < 0.001). In the fully adjusted model, those in the last tertile of HGI had a 39% increased risk of liver steatosis compared with confidence interval in the first tertile of HGI (95% confidence interval 1.12-1.74; P < 0.001).

CONCLUSIONS

A higher HGI suggests an elevated risk of developing NAFLD in patients with type 2 diabetes.

Prevalence of non-alcoholic fatty liver and its related factors in Iran: Systematic review and meta-analysis

Non-alcoholic fatty liver disease (NAFLD) is a systemic disorder with a complex multifactorial and heterogeneous pathogenesis and has become the most common cause of chronic liver disease in many countries around the world. Numerous studies in Iran have presented different results on the prevalence and risk factors of NAFLD, in this study, which has been done in a systematic review and meta-analysis, provides a good estimate of the prevalence and risk factors of the disease in Iran. Following the peer review of electronic search strategies (PRESS and the preferred reporting items for systematic reviews and meta-analyses [PRISMA] statement, we searched Web of Science, PubMed, Embase, Scopus, and Persian scientific searcher (Elmnet) from inception to September 19, 2022. In the present study, 71 articles were reviewed for qualitative and meta-analysis. The overall mean prevalence of NAFLD in children studies was 22.4% (95% confidence interval [CI]: 10.9% to 33.9%). The prevalence was notably higher in adult studies 40.5% (95% CI: 35.1% to 46%). In 24 studies, the association between NAFLD and sex was reported, 10 of which showed significant relationships. Out of 46 studies observed that NAFLD prevalence increased significantly with body mass index (BMI). Eight out of 14 studies reported significant associations between FBS and NAFLD in children's studies. Though Iran has a high NAFLD prevalence compared to most areas, and due to the unfavorable situation of risk factors contributing to the NAFLD, it is necessary to take the necessary interventions to control these risk factors and prevent NAFLD.

Association between hemoglobin glycation index and non-alcoholic fatty liver disease

OBJECTIVE

The hemoglobin glycation index (HGI) reflects biological variability in hemoglobin A1c. Even so, studies on the relationship between HGI and non-alcoholic fatty liver disease (NAFLD) are limited. Therefore, this study aimed to explore the relationship between HGI and NAFLD. In addition, the study also aimed to provide new methods to identify patients with a high risk for the development of NAFLD.

METHODS

This was a retrospective study based on physical examination data from Japan. Patients were divided into quartiles (Q1-Q4) according to their HGI level; the lowest quartile (Q1) was used as the reference group. Patents were also classified into two subgroups based on the presence or absence of NAFLD. Baseline characteristics between the groups were compared. Multivariate logistic regression analysis was used to investigate the association between the HGI and NAFLD. A mediation analysis examined the mediation relationship between HGI and NAFLD. Subgroup analyses were performed to the reliability of the results.

RESULTS

A total of 14280 patients were eligible for inclusion in this study; 2515 had NAFLD. Patients in the NAFLD group had higher levels of HGI than patients in the non-NAFLD group. Increases in HGI correlated with an increased risk of NAFLD. After adjusting for confounding factors, the multivariate logistic regression analysis revealed that HGI was positively related to the prevalence of NAFLD. In addition, mediation analysis showed that body mass index (BMI) partly mediated the indirect impact of HGI on NAFLD preference. Subgroup analyses were performed according to age, sex, smoking status, and waist circumference. Our results indicated that HGI significantly correlated with NAFLD in patients with one of the following factors: age ≤60 years, BMI >28 kg/m², female sex, a history of smoking, and abdominal obesity.

CONCLUSIONS

HGI was an independent risk factor for NAFLD, and BMI partly mediated the association between HGI and NAFLD.

MR spectroscopy of the liver - a reliable non-invasive alternative for evaluating non-alcoholic fatty liver disease

Non-alcoholic fatty liver disease (NAFLD) is one of the most common conditions worldwide that targets the liver parenchyma. NAFLD represents an intrahepatic triglyceride accumulation in the absence of excessive alcohol consumption and other diseases that affect the liver parenchyma. The current "gold standard" for evaluating the amount of intrahepatic fat is represented by liver biopsy, but many patients are reluctant and hardly accept undergoing this procedure due to its invasive nature. The current study addresses this aspect by evaluating the reliability of liver magnetic resonance spectroscopy (MRS) in diagnosing NAFLD, compared to the traditional invasive liver biopsy. The present study included a total of 38 patients based on several well-defined inclusion and exclusion criteria. We used the same NAFLD grading system for both liver MRS and liver biopsy: grade 0: <5% hepatocytes are affected; grade I: 5-33% hepatocytes are affected; grade II: 34-66% hepatocytes are affected; grade III: >66% hepatocytes are affected. Regarding the NAFLD grade, over three-quarters of patients were classified as grade I and grade II, with a strong predilection for men. The current results indicated a significant association between the NAFLD grade indicated by liver MRS and the NAFLD grade indicated by liver biopsy. At the end of our study, we recommend using liver MRS for evaluating and grading NAFLD in association with other parameters like serum triglycerides and body mass index grade as this protocol can enhance early detection and provide an accurate grading that will lead to a proper management of this disease.

Effectiveness of phosphatidylcholine in alleviating steatosis in patients with non-alcoholic fatty liver disease and cardiometabolic comorbidities (MANPOWER study)

Objective

The concept of using naturally occurring compounds such as polyenylphosphatidylcholine (PPC) as an adjunctive therapy to treat non-alcoholic fatty liver disease (NAFLD) and alleviate or reverse hepatic steatosis appears a very attractive option for liver protection. We aim to evaluate if PPC adjunctive therapy can effectively improve the ultrasonographic features of NAFLD in routine clinical practice in Russian patients with cardiometabolic comorbidities.

Design

This 24-week, observational, prospective study was carried out in 174 medical sites across 6 federal districts of Russia. A total of 2843 adult patients with newly diagnosed NAFLD, who had a least one of four comorbidities, namely overweight/obesity, hypertension, type 2 diabetes mellitus and hypercholesterolaemia, and who received PPC as an adjunctive treatment to standard care, were enrolled. The assessment of liver ultrasonography was qualitative.

Results

Overall, 2263 (79.6%) patients had at least two metabolic comorbidities associated with NAFLD, and overweight/obesity was the most common comorbidity reported in 2298 (80.8%) patients. Almost all study participants (2837/2843; 99.8%) were prescribed 1.8 g of PPC administered three times daily. At baseline, the most frequently identified abnormalities on ultrasound were liver hyperechogenicity (84.0% of patients) and heterogeneous liver structure (62.9%). At 24 weeks, a significant (p<0.05) improvement in liver echogenicity and in liver structure was observed in 1932/2827 (68.3%) patients (95% CI 66.6% to 70.1%) and in 1207/2827 (42.7%) patients (95% CI 40.9% to 44.5%), respectively. The analysis of ultrasonographic signs by number of comorbidities revealed similar findings—liver echogenicity improved in 67.2%–69.3% and liver structure in 35.6%–45.3% of patients depending on the number of comorbidities.

Conclusion

This study showed that PPC adjunctive therapy may be useful in improving the ultrasonographic features of NAFLD in patients with associated cardiometabolic comorbidities. It also supports evidence regarding the role of PPC in the complex management of NAFLD.

TBH score: a new model to predict and prevent severe liver damage after chemotherapy for cancer patients

Purpose

To explore a quantitative predictive model for the risk of chemotherapy-induced severe liver damage (CISLD).

Materials and methods

In total, 3870 consecutive cancer patients initially treated with chemotherapy were retrospectively collected and randomly assigned to a training (n=2580) or internal validation (n=1290) set in a 2:1 ratio to construct and validate the model. Additional external validation was performed using another data set (n=413). A total of 486 patients were prospectively enrolled to assess the clinical significance of the model. CISLD was defined as grade ≥3 hepatotoxicity.

Results

CISLD was found in 255 (9.9%), 128 (9.9%) and 36 (8.7%) patients in the training, internal and external validation sets, respectively. Serum triglyceride, body mass index and history of hypertension formed the basis of the score model. Patients could be stratified into low, intermediate and high-risk groups with <10%, 10–30% and >30% CISLD occurrence, respectively. This model displayed a concordance index (C-index) of 0.834 and was validated in both the internal (C-index, 0.830) and external (C-index, 0.817) sets. The incidence of CISLD was significantly reduced in those who received preventive hepatoprotective drugs compared to those who did not among patients assessed as the intermediate risk group (8.9% vs 17.5%, p=0.042) and the high risk group (15.6% vs 55.8%, p=0.043).

Conclusions

The new score model can be used to accurately predict the risk of CISLD in cancer patients undergoing chemotherapy. Clinically, this can be translated into a reference tool for oncologists in the clinical decision-making process before chemotherapy to provide appropriate prevention and interventions for patients with a high risk of CISLD.

The role of anthropometric indices in the prediction of non-alcoholic fatty liver disease in the PERSIAN Guilan Cohort study (PGCS)

Introduction: Non-alcoholic fatty liver disease (NAFLD) is an obesity-associated health problem that causes other liver diseases for the patient. Four anthropometric indices: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were analyzed as NAFLD predictors in the present study. Methods: From the total number of individuals who referred to the PERSIAN Guilan Cohort study (PGCS) located in the north of Iran during the period of study, a total of 960 people were enrolled in the present study. NAFLD was diagnosed using through an abdominal ultrasound exam. Height, weight, WC, BMI, WHR and WHtR were later calculated. Chi-square, ANOVA and logistic regression analyses were used to analyze the risk factors. Results: Out of the 960 individuals who were enrolled in the study, 597 (62.2%) were male and 363 (37.8%) were female (with an average age of 47.21 ± 7.29 years). There was a significant relationship between weight and NAFLD (P<0.001). There was also a significant relationship between BMI (OR= 8.41; 95% CI = 5.59-12.75), WC (OR= 2.67; 95% CI = 2.05-3.48), WHR (OR= 3.84; 95% CI = 2.26-6.52), WHtR (OR= 28.53; 95% CI = 6.94-117.31) and NAFLD (P<0.001). The results of the logistic regression analysis showed that WHtR, BMI and WC were effective predictors for the risk of NAFLD while WHtR played a more important role in the prediction of NAFLD. Conclusion: Anthropometric indices, especially WHtR, as a simple screening tool, seem to be an important criterion for the detection of NAFLD.

Prevalence of Nonalcoholic Fatty Liver Disease and its Related Metabolic Risk Factors in Isfahan, Iran

Background:

This study aimed to determine the prevalence of nonalcoholic fatty liver disease (NAFLD) and its related risk factors among the general population of Isfahan city located in the central part of Iran.

Materials and Methods:

In this cross-sectional study, the prevalence of NAFLD among 483 general adult populations was determined using ultrasonography. Anthropometric and biochemical variables were compared in groups with and without NAFLD and their predictive value for occurrence of NAFLD was investigated also.

Results:

Prevalence of NAFLD was 39.3%. Frequency of focal fatty infiltration (FFI), Grade I, Grade II, and Grade III of NAFLD was 9.5%, 21.1%, 7.2%, 1.4%, respectively. Prevalence of different types of NAFLD and FFI, was not different between female and male participants (P = 0.238). Ordinal regression was determined that all of the studied variables have significant predictive value for NAFLD (P < 0.001, γ = 0.615). Spearman correlation indicated that there was a significant relationship between NAFLD and BMI (r = 0.37, P < 0.001), age (r = 0.15, P = 0.001), FBS (r = 0.20, P < 0.001), cholesterol (r = 0.19, P < 0.001), triglyceride (r = 0.20, P < 0.001), LDL (r = 0.16, P < 0.001), AST (r = 0.17, P < 0.001), and ALT (r = 0.31, P < 0.001).

Conclusions:

Considering the high prevalence of NAFLD specially its lower grades among Isfahani adult general population and their association with studied variables, it seems that interventional studies which target-related mentioned risk factors could reduce the overall occurrence of NAFLD.

The prevalence of non-alcoholic fatty liver disease in healthy young persons

OBJECTIVE

This aim of the present study was to determine prevalence of non-alcoholic fatty liver disease (NAFLD) in healthy young persons admitted for annual medical check-ups.

METHODS

A retrospective study was conducted in a military hospital. Total of 254 healthy males were included and participants were divided into 2 groups according to presence and grade of NAFLD. Demographic data, biochemical test results, and ultrasonography findings were collected from all patients. Statistical analyses were performed using SPSS software, version 22.0 (SPSS, Inc., Chicago, IL, USA).

RESULTS

Prevalence of NAFLD was 10.6%. Significant differences were found with regard to age; levels aspartate transaminase, alanine transaminase, gamma-glutamyl transferase, and alkaline phosphatase; body mass index (BMI); and presence of NAFLD (p=0.014, p=0.022, p=0.003, p≤0.001, p=0.004, and p≤0.001, respectively). When compared to those with grade 1 NAFLD, levels of alanine transaminase, fasting blood glucose, gamma-glutamyl transferase, triglycerides, total cholesterol and age variables were higher in those with grade 2 NAFLD. However, no statistically significant difference was noted when comparing grades of NAFLD.

CONCLUSION

Though this study included patients with normal BMI and normal laboratory test results, presence of NAFLD was not rare in these otherwise healthy young men. Liver enzyme levels were within normal limits; however, there was slight tendency to be high consistent with presence and grade of NAFLD.

Metformin Changes the Relationship between Blood Monocyte Toll-Like Receptor 4 Levels and Nonalcoholic Fatty Liver Disease-Ex Vivo Studies

BACKGROUND

Toll-like receptor 4 (TLR4) contributes to the development of NAFLD (nonalcoholic fatty liver disease) and MetS (metabolic syndrome). It is unclear whether anti-diabetic metformin affects TLR4 expression on blood monocytes, thereby protecting or improving inflammatory parameters. Therefore, we investigated TLR4 in patients with NAFLD meeting different sets of MetS criteria and linked the results with the disease burden.

METHODS

70 subjects were characterized and divided into three groups: (I) healthy individuals, (II) nonobese with NAFLD and without MetS, and (III) prediabetic, obese with NAFLD and MetS. We determined the concentrations of IL-1β, IL-6, TNFα, and monocyte TLR4 levels in fresh blood as well as in blood cultures with or without metformin supplementation.

RESULTS

The characteristics of the study groups revealed a significant association between NAFLD and BMI, MetS and inflammatory parameters, and TLR4. In ex vivo studies, 100 μM of metformin decreased the TLR4 level by 19.9% (II group) or by 35% (III group) as well as IL-1β and TNFα production. A stepwise multiple regression analysis highlighted a strong effect of metformin on attenuation of the link between TLR4 and NAFLD, and TNFα.

CONCLUSION

We concluded that, by attenuation of the blood monocyte TLR4 level, metformin reduced their inflammatory potential-critical after recruitment these cells into liver. However, this finding should be confirmed after in vivo metformin administration.

Effect of Aerobic and Resistance Exercise Training on Liver Enzymes and Hepatic Fat in Iranian Men With Nonalcoholic Fatty Liver Disease

BACKGROUND

Nonalcoholic fatty liver disease (NAFLD) has different prevalence rates in various parts of the world and is a risk factor for diabetes and cardiovascular disease that could progress to nonalcoholic steatohepatitis, cirrhosis, and liver failure.

OBJECTIVES

The current study aimed to investigate the effect of Aerobic Training (AT) and resistance training (RT) on hepatic fat content and liver enzyme levels in Iranian men.

PATIENTS AND METHODS

In a randomized clinical trial study, 30 men with clinically defined NAFLD were allocated into three groups (aerobic, resistance and control). An aerobic group program consisted of 45 minutes of aerobic exercise at 60% - 75% maximum heart rate intensity, a resistance group performed seven resistance exercises at intensity of 50% - 70% of 1 repetition maximum (1RM ) and the control group had no exercise training program during the study. Before and after training, anthropometry, insulin sensitivity, liver enzymes and hepatic fat were elevated.

RESULTS

After training, hepatic fat content was markedly reduced, to a similar extent, in both the aerobic and resistance exercise training groups (P ≤ 0.05). In the two exercise training groups, alanine amino transferase and aspartate amino transferase serum levels were significantly decreased compared to the control group (P = 0.002) and (P = 0.02), respectively. Moreover, body fat (%), fat mass (kg), homeostasis model assessment insulin resistance (HOMI-IR) were all improved in the AT and RT. These changes in the AT group were independent of weight loss.

CONCLUSIONS

This study demonstrated that RT and AT are equally effective in reducing hepatic fat content and liver enzyme levels among patients with NAFLD. However, aerobic exercise specifically improves NAFLD independent of any change in body weight.

Molecular mechanisms for alcoholic hepatitis based on analysis of gene expression profile

BACKGROUND

Alcoholic hepatitis (AH) is an acute manifestation of alcoholic liver disease with high mortality rates.

OBJECTIVES

Our aim was to study the molecular mechanisms of AH.

MATERIALS AND METHODS

The differentially expressed genes (DEGs) in liver between AH and control cases were identified by analyzing the GSE28619 microarray data using t-test. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Ontology (GO) enrichment analyses were performed using DAVID online tool. The protein-protein interaction (PPI) network was constructed using Search Tool for the Retrieval of Interacting Genes (STRING) and the subnetwork was identified by BioNet. Both PPI network and subnetwork were visualized using the Cytoscape software.

RESULTS

Total 908 DEGs (551 up- and 357 down-regulated DEGs) were obtained. The up-regulated DEGs were significantly enriched in 15 pathways and 112 GO biological processes. The down-regulated DEGs were significantly enriched in 22 pathways and 84 GO biological processes. The PPI network with 608 nodes and 2878 interactions was constructed and the subnetwork with 53 nodes and 131 interactions was also identified. The hub DEGs (TSPO, PPIB, NME1 and NME2) were extracted in this subnetwork.

CONCLUSIONS

TSPO might contribute to the liver damage and AH progression induced by mitochondrial dysfunction through oxidative stress of liver. TSPO interacted with PPIB might play important roles in liver damage in AH. The interaction between NME1 and NME2 might contribute to the transformation from AH to hepatocellular carcinoma.

Association of Tumor Necrosis Factor-alpha Polymorphisms and Risk of Coronary Artery Disease in Patients With Non-alcoholic Fatty Liver Disease

BACKGROUND

Cardiovascular events account for the main cause of death in patients with non-alcoholic fatty liver disease (NAFLD), and are largely influenced by genetic factors. Although multiple studies showed that tumor necrosis factor-alpha (TNF-α) polymorphisms are risk factors in the progression of NAFLD, few papers on the association of the polymorphisms and the developing coronary artery disease (CAD) in NAFLD patients have been reported.

OBJECTIVES

The present study was designed to evaluate the association of TNF-α polymorphisms at residues -238 and -308, with the risk of developing CAD in Chinese patients with NAFLD.

PATIENTS AND METHODS

The TNF-α polymorphisms at residues 238 and 308 were genotyped in B-type ultrasonography proven NAFLD patients with (n = 246), without (n = 247) CAD and healthy controls (n = 304), using polymerase chain reaction (PCR). Serum lipid profiles were determined using biochemical methods. Statistical analyses were performed using SPSS statistical software, version 20.0 for Mac.

RESULTS

We found a significant association between TNF-α-238 guanine to alanine (GA) polymorphism and carriers of variant allele A between NAFLD patients with and without CAD (P < 0.05). Carriers of the A allele of TNF-α-238 had higher serum triglycerides (TG) and low density lipoprotein (LDL) levels in NAFLD patients with CAD (P = 0.025 and 0.001, respectively) and a higher TG level in NAFLD patients without CAD (P = 0.017), than their non-carrier counterparts.

CONCLUSIONS

In the Chinese Han population that we studied, NAFLD patients who carry the TNF-α-238 GA polymorphism have an increased risk of developing CAD. Mechanisms underlying this potentially important association require further investigation.

miRNA-103: Molecular link between insulin resistance and nonalcoholic fatty liver disease

AIM: To investigate the associations between miRNA-103 (miR-103) and insulin resistance and nonalcoholic fatty liver disease (NAFLD).

METHODS: Serum samples were collected from 50 NAFLD patients who were overweight or obese (NAFLD group) and from 30 healthy subjects who served as controls (normal control group). Quantitative polymerase chain reaction was used to detect expression of miR-103. Fasting plasma glucose, fasting insulin, and triglyceride (TG) levels were measured. Homeostasis model assessment was used to evaluate basal insulin resistance (HOMA-IR). Patient height and weight were measured to calculate body mass index (BMI).

RESULTS: Compared with the normal control group, higher serum levels of miR-103 were expressed in the NAFLD group (8.18 ± 0.73 vs 4.23 ± 0.81, P = 0.000). When P = 0.01 (bilateral), miR-103 was positively correlated with HOMA-IR (r = 0.881), TG (r = 0.774) and BMI (r = 0.878), respectively. miR-103, TG and BMI were all independent factors for HOMA-IR (β = 0.438/0.657/0.251, P = 0.000/0.007/0.001). miR-103, TG, BMI and HOMA-IR were all risk factors for NAFLD (odds ratio = 2.411/16.196/1.574/19.11, P = 0.009/0.022/0.01/0.014).

CONCLUSION: miR-103 is involved in insulin resistance and NAFLD, and may be a molecular link between insulin resistance and NAFLD and a therapeutic target for these disorders.