Diagnosis Of Nonalcoholic Fatty Liver Disease Research Articles

The association between non-alcoholic fatty liver disease and urinary incontinence among adult females in the United States.

Non-alcoholic fatty liver disease (NAFLD) and urinary incontinence (UI) are both highly prevalent and age-related diseases. Nevertheless, the link between NAFLD and UI is unclear. Hence, the study was designed to evaluate the association between the NAFLD and UI (including UI types) in a nationally representative sample of United States (US) female adults. We conducted this study used data from U.S. female adults in the National Health and Nutrition Examination Survey (NHANES) 2017-March 2020 (pre-pandemic) cycles. The diagnosis of NAFLD is based on Vibration controlled transient elastography (VCTE) and absence of know liver diseases and significant alcohol consumption. The diagnosis and types of UI were assessment using a self-report questionnaire. Multivariable logistic regression models were used to analyze the association between NALFD and UI. Stratified analyses based on age, obesity, race, educational level, married status, PIR, and smoking status were conducted. Of the 2149 participants, the mean (95% CI) age was 53.9 (52.7-55.0), 686 (61.1%) were Non-Hispanic White. UI was significantly more common in participants with NAFLD [490 (64.7%)] than those without NAFLD [552 (44.9%)]. Adjusted for age, race/ethnicity, marital status, educational level, family poverty income ratio (PIR) status, alanine aminotransferase (ALT), aspartate aminotransferase (AST), smoking status, obesity, type 2 diabetes mellitus (T2DM), hypertension and insulin resistance (IR) in a multivariable logistic regression model, NALFD were associated with UI [OR: 1.93, 95%CI 1.23-3.02, P = 0.01] and urge UI [OR: 1.55, 95%CI 1.03-2.33, P = 0.03], while patients with NAFLD did not show an increased odds in stress UI and mixed UI when compared with those without NAFLD subject (P > 0.05). In the subgroup analyses, NAFLD remained significantly associated with UI, particularly among those participants without obesity (OR: 2.69, 95% CI 1.84-4.00) and aged ≥ 60 years (OR: 2.20, 95% CI 1.38-3.51). Among US female adults, NAFLD has a strong positive correlation with UI. Given that NAFLD is a modifiable disease, these results may help clinicians to target female patients with NAFLD for treatments and interventions that may help prevent the occurrence of UI and reduce the symptoms of UI.

Nonalcoholic Fatty Liver Disease and Ethnicity: Lessons Learned from the Arab Population in Israel.

Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease. We aimed to investigate the potential similarities and differences regarding the disease among Arabs and Jews. Retrospective study included all patients older than 18 years with NAFLD diagnosis according to ICD-10 codes. Data regarding demographics, comorbidities, and outcomes were retrieved using the MdClone platform from "Clalit" in Israel. Data concerning 34,090 Arab patients and 173,500 Jewish patients with NAFLD were included. Arab patients were significantly younger at diagnosis (35.0 ± 13 years vs. 43.6 ± 15 years, p < 0.001) and had higher rates of obesity and diabetes mellitus (69.5% vs. 56.5% and 27.0% vs. 22.7%, p < 0.001, respectively). Arab patients had higher rates of cirrhosis and portal hypertension-related complications (2.5% vs. 2.0%, p < 0.001), esophageal varices (0.9% vs. 0.5%, p < 0.001), spontaneous bacterial peritonitis (0.3% vs. 0.1%, p < 0.001), and hepatorenal syndrome (0.3% vs. 0.1%, p < 0.001). There was no significant difference in the prevalence of hepatocellular carcinoma between study groups (0.4% vs. 0.5%, p = 0.156). Liver transplantation was performed in 0.2% of Arab NAFLD patients compared to 0.07% of Jewish NAFLD patients (p < 0.001). Lower rates of all-cause mortality were found among the Arab NAFLD patients versus Jewish NAFLD patients (7.7% versus 11.5%, p < 0.001). According to the Cox regression model, Arab ethnicity is a risk factor for death with OR of 1.36. Significant differences regarding comorbidities, complications, liver transplantations rates, and all-cause mortality were found among NAFLD patients of different ethnicities, hence specific population need specific consideration in prevention, early diagnosis and follow up.

Association between Nonalcoholic Fatty Liver Disease and Colon Polyps: A Case-Control Study in Taiwan

Objective. To investigate the potential association between nonalcoholic fatty liver disease (NAFLD) and colon polyps in Taiwan. Methods. We utilized 2006–2015 claims data of the Taiwan National Health Insurance Program as a data source. A case-control study was conducted, involving individuals 20 years or older with and without colon polyps. Cases comprised individuals diagnosed with colon polyps, identified through diagnosis codes. Controls were selected from individuals without colon polyps, matched to cases based on sex, age, and comorbidities. NAFLD was identified based on diagnosis codes. The logistic regression model with odds ratio (OR) and 95% confidence interval (CI) was employed to assess the association between NAFLD and colon polyps. Results. The study included 16,890 cases with colon polyps and 67,560 matched controls without colon polyps. The mean age was 57 years old and about 61% of study subjects were males. Among cases with colon polyps, 1.0% had a diagnosis of NAFLD, whereas only 0.4% exhibited NAFLD in the control group. After adjustment for confounding variables, a multivariable logistic regression model revealed a statistically significant association between NAFLD and colon polyps, with an odds ratio of 2.32 (95% CI = 1.91–2.82). Conclusion. This case-control study suggests a positive association between NAFLD and colon polyps. These results contribute to our understanding of the potential links between NAFLD and gastrointestinal health.

Current Management of Non-Alcoholic Fatty Liver Disease (NAFLD)

Non-alcoholic fatty liver disease (NAFLD) is characterized by hepatic steatosis in the absence of other causes of liver fat accumulation. The prevalence of NAFLD is increasing and now among top causes of hepatocellular carcinoma. The diagnosis of NAFLD requires evidence from liver biopsy. There are currently no specific drugs for therapy of NAFLD. Current mainstay for management of NAFLD is lifestyle interventions focused around weight loss. Lifestyle interventions can be done by dietary modification or increasing physical activity level. Pioglitazone and vitamin E are only recommended for patient whom was confirmed NAFLD by liver biopsy. New agents such as obeticholic acid, elafibranor, selonsertib, and cenicriviroc are still waiting for phase III result to be recommended as therapy for NAFLD. Bariatric surgery can be advised for NAFLD patient with obesity who is not adequately controlled by medical therapy.

Controlled attenuation parameter (CAP): the clinical value based on MRI-PDFF in children with obesity.

Controlled attenuation parameter (CAP) is a noninvasive and quantitative method to evaluate hepatic steatosis, which is not well evaluated in children. The aim ofthis study was to examine the diagnostic value of CAP forhepatic steatosis in children with obesity based on MR proton density fat fraction (PDFF). About 108 pediatric patients with nonalcoholic fatty liver disease (NAFLD) who were assessed for PDFF, CAP, and other laboratory results were enrolled. In this study, pediatric patients were separated for the obese group (n=80) and the severe obese group (n=28). Hepatic steatosis grades (0-3) were classified according to PDFF using cutoff values of 6.4 , 17.4, and 22.1 %. There are significant differences in CAP between the obese and severe obese groups (p<0.05). CAP showed a good correlation with PDFF in pediatric patients with NAFLDfor diagnosing hepatic steatosis using a cutoff valueof 265 dB/m (p<0.001). Meanwhile, ALT significantly outperforms CAP in receiver-operating curve (ROC) analysis for diagnosing hepatic steatosis grades. The diagnostic accuracy of CAP for steatosis is 77.8 %, and the diagnostic accuracy of ALT for steatosis is 83.3 %. While CAP holds promise as a diagnostic tool for pediatric NAFLD, its diagnostic performance warrants some caution. The potential of CAP is evident; however, ALTemerges as a simpler and more accurate measure for detecting hepatic steatosis in children. Further research is essential to determine the optimal role of CAP in pediatric NAFLD diagnosis and management.

Hepatologists' awareness and knowledge toward NAFLD and the familiarity with renaming from NAFLD to MAFLD.

Non-alcoholic fatty liver disease (NAFLD) is an emerging epidemic; it is a negative diagnosis that depends mainly on the presence of hepatic steatosis with or without inflammation after exclusion of other chronic liver diseases and excess alcohol intake. However, the new definition of MAFLD is a shift towards a diagnosis of inclusion based on the presence of metabolic dysfunction, regardless of alcohol consumption or other concomitant liver diseases. Given the growing relevance of the disease, data on hepatologists' views and understanding of NAFLD are limited, we aimed to determine hepatologists' awareness and expertise of NAFLD screening, diagnosis, and therapeutic options as well as the influence of changing the NAFLD name to MAFLD on awareness of the fatty liver disease (FLD). Most of the hepatologists agreed that NAFLD can cause serious hepatic illness and may be linked to metabolic risk factors, necessitating a multidisciplinary approach to treatment. Hepatologists have a poor understanding of NAFLD care. The shift in terminology from NAFLD to MAFLD will be more known to hepatologists, and it may offer a better awareness of FLD. A multicenter online questionnaire of 655 hepatologists was carried out, giving a sample of 207 respondents. A survey composed of 36 questions was used to assess the level of hepatologists' awareness and practices in the screening, diagnosis, and management of NAFLD/MAFLD, as well as their familiarity with the nomenclature change from NAFLD to MAFLD. A total of 207 hepatologists were included, of which 107 (51.4%) were males, with a mean age was 36.4 years. 50.2% (n=104) of the hepatologists were oriented with NAFLD. Only 41 (19.8%) realized that NAFLD may frequently result in severe hepatic disease. NAFLD is rarely screened by the majority of the participating hepatologists (118, 57%), and (135, 65.2%) of them use liver biopsy for diagnosis of NAFLD. In (104, 50.2%) of hepatologists, changing the nomenclature of NAFLD was relatively familiar. Furthermore, 71.9% of hepatologists thought that the new nomenclature offers a better awareness of FLD. A small percentage of hepatologists agreed that NAFLD can cause serious hepatic illness and may be linked to metabolic risk factors, and around half of them realize that NAFLD necessitates a multidisciplinary approach to treatment. Hepatologists have a poor understanding of NAFLD care. The shift in terminology from NAFLD to MAFLD will be more known to hepatologists, and it may offer better awareness of FLD.

Machine Learning Reveals Serum Glycopatterns as Potential Biomarkers for the Diagnosis of Nonalcoholic Fatty Liver Disease (NAFLD).

Nonalcoholic fatty liver disease (NAFLD) has emerged as the predominant chronic liver condition globally, and underdiagnosis is common, particularly in mild cases, attributed to the asymptomatic nature and traditional ultrasonography's limited sensitivity to detect early-stage steatosis. Consequently, patients may experience progressive liver pathology. The objective of this research is to ascertain the efficacy of serum glycan glycopatterns as a potential diagnostic biomarker, with a particular focus on the disease's early stages. We collected a total of 170 serum samples from volunteers with mild-NAFLD (Mild), severe-NAFLD (Severe), and non-NAFLD (None). Examination via lectin microarrays has uncovered pronounced disparities in serum glycopatterns identified by 19 distinct lectins. Following this, we employed four distinct machine learning algorithms to categorize the None, Mild, and Severe groups, drawing on the alterations observed in serum glycopatterns. The gradient boosting decision tree (GBDT) algorithm outperformed other models in diagnostic accuracy within the validation set, achieving an accuracy rate of 95% in differentiating the None group from the Mild group. Our research indicates that employing lectin microarrays to identify alterations in serum glycopatterns, when integrated with advanced machine learning algorithms, could constitute a promising approach for the diagnosis of NAFLD, with a special emphasis on its early detection.

The association between score of plant-based diet and non-alcoholic fatty liver disease in adults

Plant-based diet (PDI) as resource of antioxidants and anti-inflammatory phytochemicals, that was considered to protect against onset and development of Non-alcoholic fatty liver disease (NAFLD). To investigate the association between plant-based diet and NAFLD in adults. The present case control study was conducted on 240 individuals (120 with NAFLD and 120 control) aged 20-69 years. Provided recommendations by the American College of Gastroenterology and the American Gastroenterological Association were used for NAFLD diagnosis. Dietary intake was assessed using 178-food item food frequency questionnaire (FFQ). Also, plant-based diet score was evaluated based on 18 food groups classified into animal foods, healthy and unhealthy plant foods. A multiple logistic regression model was used to examine the relationship between fatty liver disease and tertiles of PDI. The results of this study showed that we did not observe any association between tertiles of PDI and NAFLD in crude model (OR: 1.29, 95%CI:0.66-2.52, P:0.44) and after adjustment for confounders including age, energy intake, physical activity, body mass index (OR:0.76, 95%CI: 0.31-1.86, P:0.52). Also, there were not any association of tertiles of healthy PDI (hPDI) (OR:1.14, 95%CI: 0.50-2.60, P:0.74) and unhealthy PDI (uhPDI) (OR:0.89, 95%CI:0.36-2.18, P: 0.79) with NAFLD after full adjustment for potential confounders. There was not any association of PDI, hPDI, and uPDI with NAFLD in adults. More research needs to examine whether this specific diet may impact and improve NAFLD.

Analysis of non-alcoholic fatty liver disease differences from metabolic dysfunction-associated fatty liver disease based on clinical features

Objective: To explore the clinical features of fatty liver disease (FLD) from non-alcoholic fatty liver disease (NAFLD) to metabolic dysfunction-associated fatty liver disease (MASLD), so as to elucidate its clinical application value under three renames. Methods: Patients who were hospitalized in the Department of Hepatology, Hospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, from January 2020 to September 2023 and met the diagnosis of NAFLD, metabolic-associated fatty liver disease (MAFLD), or MASLD were selected as the research subjects. The clinical indicators differences among the three groups of patients were compared, mainly including general information (age, gender, body mass index, past history, etc.), serological indicators (liver and kidney function, blood lipids, blood sugar, coagulation function, etc.), non-invasive liver fibrosis indicators, fat attenuation parameters, etc. Measurement data were analyzed using ANOVA and the rank sum test, while count data were analyzed using the χ(2) test. Results: NAFLD, MAFLD, and MASLD prevalence rates among 536 cases were 64.0%, 93.7%, and 100%, respectively. 318 cases (59.3%) met the three fatty liver names at the same time among them. Male population proportions in NAFLD, MAFLD, and MASLD were 30.9%, 55.8%, and 53.9%, respectively. The alcohol consumption history proportion was 0, 36.7%, and 36.0%, respectively. The smoking history proportion was 7.0%, 31.9%, and 30.6%, respectively. The body mass index was (27.66 ± 3.97), (28.33 ± 3.63), and (27.90 ± 3.89) kg/m(2), respectively. The γ-glutamyltransferase levels were 26.6 (18.0, 47.0) U/L, 31.0 (20.0, 53.0) U/L, and 30.8 (19.8, 30.8) U/L, respectively. The high-density lipoprotein cholesterol levels were 1.07 (0.90, 1.23) mmol/L, 1.02 (0.86, 1.19) mmol/L, and 1.03 (0.87,1.21) mmol/L, respectively. Sequentially measured uric acid was (322.98 ± 84.51) μmol/L, (346.57 ± 89.49) μmol/L, and (344.89 ±89.67) μmol/L, respectively. Sequentially measured creatinine was 69.6 (62.9, 79.0) μmol/L, 73.0 (65.0, 83.5) μmol/L, and 73.0 (65.0, 83.0) μmol/L, respectively. The sequential analysis of obesity proportion was 74.3%, 81.7%, and 76.5%, respectively, with statistically significant differences (P<0.05). Conclusion: Compared with the NAFLD population, the MAFLD and MASLD populations were predominantly male, obese, and had a history of smoking and drinking. The levels of γ-glutamyltransferase, uric acid, and creatinine were slightly higher, while the levels of high-density lipoprotein cholesterol were lower. MASLD appeared in NAFLD and MAFLD on the basis of inheritance and progression, emphasizing once again the important role of metabolic factors in a fatty liver.

Brominated alkyl promotes a red-emissive probe track lipid droplets in cells and fatty liver

Lipid droplets (LDs) participate in lipid storage and metabolism, which is a critical indication of metabolic diseases, like nonalcoholic fatty liver disease (NAFLD). Fluorescent probes have been extensively applied due to their excellent superiorities, but it is usually impossible to realize specific LDs-targeting by a simple bromination in a fluorescent probe. In current study, we developed two red-emissive probes (G1 and G2) that are condensed by isophorone and carbazole with or without a bromine substitution in alkyl group. Unexpectedly, G1 with brominated alkyl displayed specific targeting to LDs, while G2 with only alkyl chain exhibited no LDs-targeting effect. Subsequently, G1 was successfully applied to track LDs and their dynamics in living cells, and image LDs in livers of mice feeding high-fat diet. This study is a new paradigm for devising a fluorescent tool to trace LDs, which may provide a powerful tool for the early diagnosis of NAFLD.

ONOO–-activatable and LD-traced NIR fluorescent probe for mechanism study and early diagnosis of NAFLD and diabetes induced liver injury

Lipid metabolism disorder and oxidative stress play an essential role in the occurrence and development of metabolic diseases such as nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). Here, we constructed an ONOO-activatable and lipid drops (LDs) traced near-infrared (NIR) fluorescent probe BDP-NIR-Py+ through structural modification, and evaluated oxidative stress and lipid metabolism disorders in relevant disease by monitoring changes in ONOO and LDs levels in cells and mice. With the dual monitoring of ONOO and LDs, BDP-NIR-Py+ realized real-time visualization of the occurrence and development of NAFLD and T2DM, and early diagnosis of liver injury, which is faster and more sensitive than tissue analysis and blood detection. Collectively, the ability of BDP-NIR-Py+ to simultaneously monitor ONOO and LDs makes it has unlimited potential in the early diagnosis and mechanism research of diseases such as NAFLD and T2DM in which oxidative stress and lipid metabolism disorder interact.

Unveiling the mitophagy puzzle in non-alcoholic fatty liver disease (NAFLD): Six hub genes for early diagnosis and immune modulatory roles

BackgroundNon-alcoholic fatty liver disease (NAFLD) stands as a predominant chronic liver ailment globally, yet its pathogenesis remains elusive. This study aims to identify Hub mitophagy-related genes (MRGs), and explore the underlying pathological mechanisms through which these hub genes regulate NAFLD. MethodsA total of 3 datasets were acquired from the GEO database and integrated to identify differentially expressed genes (DEGs) in NAFLD and perform Gene Set Enrichment Analysis (GSEA). By intersecting DEGs with MRGs, mitophagy-related differentially expressed genes (MRDEGs) were obtained. Then, hub MRGs with diagnostic biomarker capability for NAFLD were screened and a diagnostic prediction model was constructed and assessed using Nomogram, Decision Curve Analysis (DCA), and ROC curves. Functional enrichment analysis was conducted on the identified hub genes to explore their biological significance. Additionally, regulatory networks were constructed using databases. NAFLD was stratified into high and low-risk groups based on the Riskscore from the diagnostic prediction model. Furthermore, single-sample gene set enrichment analysis (ssGSEA) and CIBERSORT algorithms were employed to analyze immune cell infiltration patterns and the relationship between Hub MRGs and immune cells. ResultsThe integrated dataset comprised 122 NAFLD samples and 31 control samples. After screening, 18 MRDEGs were identified. Subsequently, six hub MRGs (NR4A1, PPP2R2A, P4HA1, TUBB6, DUSP1, NAMPT) with diagnostic potential were selected through WGCNA, logistic regression, SVM, RF, and LASSO models, all significantly downregulated in NAFLD samples compared to the control group. A diagnostic prediction model based on these six genes demonstrated robust predictive performance. Functional enrichment analysis of the six hub genes revealed involvement in processes such as protein phosphorylation or dephosphorylation. Correlation analysis demonstrated a significant association between hub MRGs and infiltrating immune cells. ConclusionWe identified six hub MRGs in NAFLD and constructed a diagnostic prediction model based on these six genes, applicable for early NAFLD diagnosis. These genes may participate in regulating NAFLD progression through the modulation of mitophagy and immune activation. Our findings may contribute to subsequent clinical and basic research on NAFLD.

Resolution of the Expert Forum "New therapeutic horizons of NAFLD"

Aim. To present the materials of the Expert Forum "New therapeutic horizons of NAFLD," held on December 19, 2023, on the updated nomenclature of fatty liver disease (FLD), its main issues of diagnosis and treatment, the burden of cardiovascular risk in FLD patients. Executive Summary of the Resolution. It is recommended that the latest update of the FLD nomenclature be considered for adaptation to the clinical practice of doctors of all therapeutic specialties. Due to the high prevalence of a combination of non-alcoholic fatty liver disease (NAFLD) and an alcoholic component in the Russian Federation, it is essential to distinguish this subgroup of patients. Numerous clinical conditions associated with NAFLD include cardiovascular disease, pre-diabetes/type 2 diabetes mellitus, polycystic ovary syndrome, obstructive sleep apnea, sarcopenic obesity, cholelithiasis, and chronic kidney disease. Once a diagnosis of NAFLD has been made, further examination of patients should be aimed at detecting the presence of fibrosis using non-invasive methods such as transient liver elastography, FibroTest, and calculation of the FIB-4 fibrosis index. The original ademethionine can be considered a universal drug in treating NAFLD due to reducing oxidative stress and correcting concomitant fatigue and asthenia.

Potential diagnostic markers shared between non-alcoholic fatty liver disease and atherosclerosis determined by machine learning and bioinformatic analysis.

Evidence indicates that chronic non-alcoholic fatty liver disease (NAFLD) can increase the risk of atherosclerosis (AS), but the underlying mechanism remains unclear. This study is intended for confirming key genes shared between NAFLD and AS, and their clinical diagnostic value to establish a foundation for searching novel therapeutic targets. We downloaded the Gene Expression Omnibus (GEO) datasets, GSE48452 and GSE89632 for NAFLD and GSE100927, GSE40231 and GSE28829 for AS. The progression of NAFLD co-expression gene modules were recognized via weighted gene co-expression network analysis (WGCNA). We screened for differentially expressed genes (DEGs) associated with AS and identified common genes associated with NAFLD and AS using Venn diagrams. We investigated the most significant core genes between NAFLD and AS using machine learning algorithms. We then constructed a diagnostic model by creating a nomogram and evaluating its performance using ROC curves. Furthermore, the CIBERSORT algorithm was utilized to explore the immune cell infiltration between the two diseases, and evaluate the relationship between diagnostic genes and immune cells. The WGCNA findings associated 1,129 key genes with NAFLD, and the difference analysis results identified 625 DEGs in AS, and 47 genes that were common to both diseases. We screened the core RPS6KA1 and SERPINA3 genes associated with NAFLD and AS using three machine learning algorithms. A nomogram and ROC curves demonstrated that these genes had great clinical meaning. We found differential expression of RPS6KA1 in patients with steatosis and NASH, and of SERPINA3 only in those with NASH compared with normal individuals. Immune infiltration findings revealed that macrophage and mast cell infiltration play important roles in the development of NAFLD and AS. Notably, SERPINA3 correlated negatively, whereas RPS6KA1 correlated positively with macrophages and mast cells. We identified RPS6KA1 and SERPINA3 as potential diagnostic markers for NAFLD and AS. The most promising marker for a diagnosis of NAFLD and AS might be RPS6KA1, whereas SERPINA3 is the most closely related gene for NASH and AS. We believe that further exploration of these core genes will reveal the etiology and a pathological relationship between NAFLD and AS.

Non-alcoholic fatty liver disease and sleep disorders.

Studies have shown that non-alcoholic fatty liver disease (NAFLD) may be associated with sleep disorders. In order to explore the explicit relationship between the two, we systematically reviewed the effects of sleep disorders, especially obstructive sleep apnea (OSA), on the incidence of NAFLD, and analyzed the possible mechanisms after adjusting for confounding factors. NAFLD is independently associated with sleep disorders. Different sleep disorders may be the cause of the onset and aggravation of NAFLD. An excessive or insufficient sleep duration, poor sleep quality, insomnia, sleep-wake disorders, and OSA may increase the incidence of NAFLD. Despite that some research suggests a unidirectional causal link between the two, specifically, the onset of NAFLD is identified as a result of changes in sleep characteristics, and the reverse relationship does not hold true. Nevertheless, there is still a lack of specific research elucidating the reasons behind the higher risk of developing sleep disorders in individuals with NAFLD. Further research is needed to establish a clear relationship between NAFLD and sleep disorders. This will lay the groundwork for earlier identification of potential patients, which is crucial for earlier monitoring, diagnosis, effective prevention, and treatment of NAFLD.

Identification and validation of cuproptosis-related genes for diagnosis and therapy in nonalcoholic fatty liver disease.

In recent years, nonalcoholic fatty liver disease (NAFLD) has become a more serious public health issue worldwide. This study strived to investigate the molecular mechanism of pathogenesis of NAFLD and explore promising diagnostic and therapeutic targets for NAFLD. Raw data from GSE130970 were downloaded from the Gene Expression Omnibus database. We used the dataset to analyze the expression levels of cuproptosis-related genes in NAFLD patients and healthy controls to identify the differentially expressed cuproptosis-related genes (DECRGs). The relationship and potential mechanism between DECRGs and clinicopathological factors were examined by enrichment analysis and two consensus clustering methods. We screened key DECRGs based on Random Forest (RF), and then verified the key DECRGs in NAFLD patients, high-fat diet (HFD)-fed mice, and palmitic acid-induced AML12 cells. ROC analysis showed good diagnostic function of DECRGs in normal and NAFLD liver tissue. Two consensus clusters indicated the important role of cuproptosis in the development of NAFLD. We screened for key DECRGs (DLD, DLAT) based on RF and found a close relationship between the DECRGs and clinicopathological factors. We collected clinical blood samples to verify the differences in gene expression levels by qPCR. In addition, we further verified the expression levels of DLD and DLAT in HFD mice and AML12 cells, which showed the same results. This study provides a novel perspective on the pathogenesis of NAFLD. We identified two cuproptosis-related genes that are closely related to NAFLD. These genes may play a significant role in the molecular pathogenesis of NAFLD, which may be useful to make progress in the diagnosis and treatment of NAFLD.

Value of constructing a non-invasive diagnostic model based on serum heme oxygenase-1 and glucose regulatory protein 78 for non-alcoholic fatty liver disease

Objective: To analyze the clinical application value of serum heme oxygenase (HO)-1expression level in non-alcoholic fatty liver disease (NAFLD) and, based on that, establish a diagnostic model combined with glucose regulatory protein 78 (GRP78) so as to clarify its diagnostic effectiveness and application value. Methods: A total of 210 NAFLD patients diagnosed by abdominal B-ultrasound and liver elastography were included, and at the same time, 170 healthy controls were enrolled. The general clinical data, peripheral blood cell counts, and biochemical indicators of the research subjects were collected. The expression levels of HO-1 and GRP78 were detected using an enzyme-linked immunosorbent assay. Multivariate analysis was used to screen independent risk factors for NAFLD. Visual output was performed through nomogram diagrams, and the diagnostic model was constructed. Receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA) were used to evaluate the diagnostic effectiveness of NAFLD. Measurement data were analyzed using a t-test or Mann-Whitney U rank sum test to detect data differences between groups. Enumeration data were analyzed using the Fisher's exact probability test or the Pearson χ(2) test. Results: Compared with the healthy control group, the white blood cell count, aspartate aminotransferase (AST), alanine aminotransferase, gamma-glutamyl transferase (GTT), fasting blood glucose (Glu), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), serum HO-1, and GRP78 levels were significantly increased in the NAFLD group patients (P < 0.05). Binary logistic analysis results showed that AST, TG, LDL-C, serum HO-1, and GRP78 were independent risk factors for NAFLD (P < 0.05). A nomogram clinical predictive model HGATL was established using HO-1 (H), GRP78 (G) combined with AST (A), TG (T), and LDL-C (L), with the formula P=-21.469+3.621×HO-1+0.116 ×GRP78+0.674×AST+6.250×TG+4.122 ×LDL-C. The results confirmed that the area under the ROC curve of the HGATL model was 0.965 8, with an optimal cutoff value of 81.69, a sensitivity of 87.06%, a specificity of 92.82%, a P < 0.05, and the diagnostic effectiveness significantly higher than that of a single indicator. The calibration curve and DCA both showed that the model had good diagnostic performance. Conclusion: The HGATL model can be used as a novel, non-invasive diagnosis model for NAFLD and has a positive application value in NAFLD diagnosis and therapeutic effect evaluation. Therefore, it should be explored and promoted in clinical applications.

Association between alanine aminotransferase to high-density lipoprotein cholesterol ratio and nonalcoholic fatty liver disease: a retrospective cohort study in lean Chinese individuals

There is limited research on the association between the alanine aminotransferase to high-density lipoprotein cholesterol ratio (ALT/HDL-C) ratio and nonalcoholic fatty liver disease (NAFLD). The purpose of the current research was to look into the connection between the ALT/HDL-C ratio and the risk of NAFLD in lean Chinese individuals. Between January 2010 and December 2014, 11,975 non-obese people participated in this prospective cohort research. The relationship between the ALT/HDL-C ratio and the risk of developing NAFLD was assessed using the Cox proportional-hazards regression model, Cox proportional hazards regression with cubic spline functions and smooth curve fitting, sensitivity analysis, and subgroup analyses. The ALT/HDL-C ratio’s potential value as a NAFLD prognostic marker was to be evaluated using the receiver operating characteristic curve analysis. A total of 5419 (45.253%) women comprised the research's participant population, and the research participants’ average age was 43.278 ± 14.941 years. The ALT/HDL-C ratio was 11.607 (7.973–17.422) at the median (interquartile ranges). 2087 (17.428%) patients had NAFLD diagnoses throughout a median follow-up of 24.967 months. The study's findings demonstrated a positive connection between the ALT/AHDL-C ratio and the incident NAFLD (HR = 1.037, 95% CI: 1.031–1.042) when adjusting for relevant factors. The ALT/HDL-C ratio and NAFLD risk had a nonlinear connection, with 12.963 as the ratio's inflection point. Effect sizes (HR) were 1.023 (95% CI: 1.017–1.029) and 1.204 (95% CI: 1.171–1.237), respectively, on the right and left sides of the inflection point. The sensitivity analysis also showed how reliable our findings were. According to subgroup analysis, those with BMI < 24 kg/m2 and DBP < 90 mmHg had a stronger correlation between the ALT/HDL-C ratio and NAFLD risk. The current study shows a positive and non-linear connection between the ALT/HDL-C ratio and NAFLD risk in lean Chinese individuals. When the ALT/HDL-C ratio is less than 12.963, it is significantly linked to NAFLD. Therefore, from a therapy standpoint, it is advised to keep the ALT/HDL-C ratio less than the inflection point.

Investigating the impact of elevated urinary trace elements on non-alcoholic fatty liver disease using vibration-controlled transient elastography.

Non-alcoholic fatty liver disease (NAFLD) is a global public health concern. However, limited data are available on urinary trace elements and NAFLD caused by various exposure factors. This study aimed to investigate the relationship between the presence of 16 trace elements in urine and NAFLD using data from the National Health and Nutrition Examination Survey (NHANES). By utilizing the NHANES data from 2017 to 2018, 1613 participants who fulfilled the research criteria were identified from the initial pool of 2979 participants with available urine trace element detection data. Among them, 706 individuals had been diagnosed with NAFLD based on a coefficient of attenuation parameter (CAP) value of at least 274 db/m, determined using vibration-controlled transient elastography (VCTE); whereas the remaining 907 participants were classified as non-NAFLD. The data obtained were used to construct univariate and multivariate logistic regression models and restricted cubic spline models (RCS) analyses. The presence of arsenic, iodine, barium, cesium, molybdenum, lead, tin, and tungsten in the urine of individuals with NAFLD showed a positive correlation with the likelihood of developing NAFLD. The risk of NAFLD had a non-linear dose-dependent relationship with urinary iodine, molybdenum, barium, and cesium. NAFLD was also associated with elevated levels of barium and cesium in urine, which were identified as significant risk factors. These findings suggest a positive association between exposure to trace elements in the urine and the risk of NAFLD. Specifically, urinary barium and cesium appeared to have the greatest impact on the risk of NAFLD. These results provide novel insights into the diagnosis and treatment of NAFLD.

Integrative analysis identifies oxidative stress biomarkers in non-alcoholic fatty liver disease via machine learning and weighted gene co-expression network analysis.

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease globally, with the potential to progress to non-alcoholic steatohepatitis (NASH), cirrhosis, and even hepatocellular carcinoma. Given the absence of effective treatments to halt its progression, novel molecular approaches to the NAFLD diagnosis and treatment are of paramount importance. Firstly, we downloaded oxidative stress-related genes from the GeneCards database and retrieved NAFLD-related datasets from the GEO database. Using the Limma R package and WGCNA, we identified differentially expressed genes closely associated with NAFLD. In our study, we identified 31 intersection genes by analyzing the intersection among oxidative stress-related genes, NAFLD-related genes, and genes closely associated with NAFLD as identified through Weighted Gene Co-expression Network Analysis (WGCNA). In a study of 31 intersection genes between NAFLD and Oxidative Stress (OS), we identified three hub genes using three machine learning algorithms: Least Absolute Shrinkage and Selection Operator (LASSO) regression, Support Vector Machine - Recursive Feature Elimination (SVM-RFE), and RandomForest. Subsequently, a nomogram was utilized to predict the incidence of NAFLD. The CIBERSORT algorithm was employed for immune infiltration analysis, single sample Gene Set Enrichment Analysis (ssGSEA) for functional enrichment analysis, and Protein-Protein Interaction (PPI) networks to explore the relationships between the three hub genes and other intersecting genes of NAFLD and OS. The distribution of these three hub genes across six cell clusters was determined using single-cell RNA sequencing. Finally, utilizing relevant data from the Attie Lab Diabetes Database, and liver tissues from NASH mouse model, Western Blot (WB) and Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR) assays were conducted, this further validated the significant roles of CDKN1B and TFAM in NAFLD. In the course of this research, we identified 31 genes with a strong association with oxidative stress in NAFLD. Subsequent machine learning analysis and external validation pinpointed two genes: CDKN1B and TFAM, as demonstrating the closest correlation to oxidative stress in NAFLD. This investigation found two hub genes that hold potential as novel targets for the diagnosis and treatment of NAFLD, thereby offering innovative perspectives for its clinical management.