Diagnosis Of Nonalcoholic Steatohepatitis Research Articles

A machine learning-based predictive model discriminates nonalcoholic steatohepatitis from nonalcoholic fatty liver disease

BackgroundNon-alcoholic fatty liver disease (NAFLD) is a leading cause of liver-related morbidity and mortality. The diagnosis of non-alcoholic steatohepatitis (NASH) plays a crucial role in the management of NAFLD patients. ObjectiveThe aim of our observational study was to build a machine learning model to identify NASH in NAFLD patients. MethodsThe clinical characteristics of 259 NAFLD patients and their initial laboratory data (Cohort 1) were collected to train the model and carry out internal validation. We compared the models built by five machine learning algorithms and screened out the best models. Receiver operating characteristic (ROC) curves, sensitivity, specificity, and accuracy were used to evaluate the performance of the model. In addition, the NAFLD patients in Cohort 2 (n = 181) were externally verified. ResultsWe finally identified six independent risk factors for predicting NASH, including neutrophil percentage (NEU%), aspartate aminotransferase/alanine aminotransferase (AST/ALT), hematocrit (HCT), creatinine (CREA), uric acid (UA), and prealbumin (PA). The NASH-XGB6 model built using the XGBoost algorithm showed sufficient prediction accuracy, with ROC values of 0.95 (95 % CI, 0.91–0.98) and 0.90 (95 % CI, 0.88–0.93) in Cohort 1 and Cohort 2, respectively. ConclusionsNASH-XGB6 can serve as an effective tool for distinguishing NASH patients from NAFLD patients.

B-069 Characterization of a panel of antibodies as diagnostics for NASH and NAFL

Abstract Background Nonalcoholic fatty liver disease (NAFLD) is on the rise in Western industrialized countries and associated comorbidities like e.g. cirrhosis are a major cause of liver transplantations in the USA. In NAFLD, excess fat is accumulated in the liver whereas this build-up is not caused by alcohol. NASH (nonalcoholic steatohepatitis) and NAFL (nonalcoholic fatty liver) are two forms of NAFLD. NAFL represents a stage of the disease in which the liver does not exhibit major signs of inflammation or damage, while NASH does. NAFL does not necessarily progress to cause liver damage. NASH on the other hand may cause fibrosis and lead to cirrhosis with a risk of progression into liver cancer. Since NAFLD shows a prevalence of over 24-25% in both the USA and Europe, diagnosis moves more and more into focus. The current gold standard for NASH diagnosis is liver biopsy, and NAFLD as such can also be diagnosed by ultrasound and MRI, among others. A quest for biomarkers is ongoing to develop blood tests that allow NAFLD diagnosis by immunoassays for example. We have developed high affinity and specificity antibodies against four highly discussed marker proteins for NAFLD: RBP4 (Retinol Binding Protein 4), FGF21 (Fibroblast Growth factor 21), CHI3L1 (Chitinase-3-like protein 1) and PAI-1 (Plasminogen activator inhibitor-1). All four markers are discussed to be elevated in NAFLD patient serum. Methods We characterized the developed anti-RBP4 and anti-FGF21 antibodies via an in-house developed Chemiluminescence Immunoassay (CLIA). Results We have determined the limit of quantification (LoQ), limit of detection (LoD) and linear range of measurable concentrations for our antibody pairs. We further conducted spike and recovery experiments showing the precision of the developed antibodies against RBP4 and FGF21. Conclusions Together, we present antibody pairs for RBP4 and FGF21 suitable as a part of a diagnostic panel that has high potential to be applied in the diagnosis of NAFLD.

CXCL9, IL2RB, and SPP1, potential diagnostic biomarkers in the co-morbidity pattern of atherosclerosis and non-alcoholic steatohepatitis

Non-alcoholic steatohepatitis (NASH) is a hepatocyte inflammation based on hepatocellular steatosis, yet there is no effective drug treatment. Atherosclerosis (AS) is caused by lipid deposition in the endothelium, which can lead to various cardiovascular diseases. NASH and AS share common risk factors, and NASH can also elevate the risk of AS, causing a higher morbidity and mortality rate for atherosclerotic heart disease. Therefore, timely detection and diagnosis of NASH and AS are particularly important. In this study, differential gene expression analysis and weighted gene co-expression network analysis were performed on the AS (GSE100927) and NASH (GSE89632) datasets to obtain common crosstalk genes, respectively. Then, candidate Hub genes were screened using four topological algorithms and externally validated in the GSE43292 and GSE63067 datasets to obtain Hub genes. Furthermore, immune infiltration analysis and gene set variation analysis were performed on the Hub genes to explore the underlying mechanisms. The DGIbd database was used to screen candidate drugs for AS and NASH. Finally, a NASH model was constructed using free fatty acid-induced human L02 cells, an AS model was constructed using lipopolysaccharide-induced HUVECs, and a co-morbidity model was constructed using L02 cells and HUVECs to verify Hub gene expression. The result showed that a total of 113 genes common to both AS and NASH were identified as crosstalk genes, and enrichment analysis indicated that these genes were mainly involved in the regulation of immune and metabolism-related pathways. 28 candidate Hub genes were screened according to four topological algorithms, and CXCL9, IL2RB, and SPP1 were identified as Hub genes after in vitro experiments and external dataset validation. The ROC curves and SVM modeling demonstrated the good diagnostic efficacy of these three Hub genes. In addition, the Hub genes are strongly associated with immune cell infiltration, especially macrophages and γ–δ T cell infiltration. Finally, five potential therapeutic drugs were identified. has-miR-185 and hsa-miR-335 were closely related to AS and NASH. This study demonstrates that CXCL9, IL2RB, and SPP1 may serve as potential biomarkers for the diagnosis of the co-morbidity patterns of AS and NASH and as potential targets for drug therapy.

Association between paravertebral muscle radiological parameter alterations and non-alcoholic fatty liver disease.

To assess changes in laboratory indices, paravertebral muscle (PVM) fat infiltration and multi b-value DWI parameters and their potential correlation with NAFLD. This retrospective analysis included 178 patients with histopathologically confirmed NAFLD, incluiding 76 with non-alcoholic steatohepatitis (NASH). Differences in PVM fat infiltration ratio (FIR), DWI parameters, and laboratory indices were compared between two groups. The correlation between FIR and NAFLD activity score (NAS) was also analysed. Binary logistic regression was used to identify the independent risk factors for NASH. The clinical utility of PVM fat infiltration, DWI parameters, and laboratory indices for diagnosing NASH in patients with NAFLD was evaluated using receiver operating characteristic (ROC) curves. The FIRs at the L2 and L3 levels were significantly higher in the with NASH group than those in the without NASH group. The heterogeneity index (α) and perfusion fraction (f) values at the L3 level of PVM were lower in the with NASH group. Moreover, the FIR at the L3 level was positively correlated with NAS. FIR at the L3 level was an independent risk factor for NASH along with alanine aminotransferase level. The area under the ROC curve (AUC) using L3 level PVM radiological parameters and laboratory indices for diagnosing NASH in patients with NAFLD was significantly higher than that using the degree of PVM fat infiltration, DWI parameters, or laboratory indices alone. Radiological parameters of the PVM were correlated with NAFLD. An integrated curve combining PVM radiological parameters may help distinguish NASH from NAFLD, thereby offering novel insights into the diagnosis of NASH.

Value of zonulin as a diagnostic and prognostic marker in different degrees of nonalcoholic fatty liver disease

BackgroundNonalcoholic fatty liver disease (NAFLD) is a group of hepatic disorders ranging between simple form of accumulation of fat in hepatocytes (hepatic steatosis) and inflammation of liver internal tissues and injury of hepatocytes that is known as nonalcoholic steatohepatitis (NASH) with increasing levels of fibrosis and cirrhosis and hepatocellular carcinoma (HCC). The composition of one’s gut microbiota has a role in both the onset and progression of chronic liver disorders. One indicator of intestinal permeability is zonulin. In this study, we aimed to detect the value of zonulin as a diagnostic and prognostic marker in patients with different degrees of nonalcoholic fatty liver disease (steatosis, steatohepatitis, cirrhosis).This case–control study was conducted on 60 subjects in Gastroenterology and Bariatric Surgery Departments at Ain Shams University Hospitals who were divided into 3 groups: Group A: 20 patients underwent bariatric surgery and have mild NASH, Group B: 20 patients underwent bariatric surgery and have moderate-to-severe NASH, and Group C: 20 healthy controls, during a period 1 of year.ResultsThere was high statistically significant difference between the studied groups; as regard zonulin concentration, zonulin showed high diagnostic accuracy in diagnosis of NASH among hepatic patients with total accuracy of 81.7%, sensitivity of 72.5%, and specificity of 100.ConclusionSerum zonulin levels increase with steatosis severity in patients with NAFLD. This explains the high diagnostic accuracy of zonulin in diagnosis and prognosis of NASH among patients.

Outcomes and risk factors for mortality in clostridioides difficile infection in patients with NAFLD and NASH

Introduction and ObjectivesNon-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide and can progress to non-alcoholic steatohepatitis (NASH) and, ultimately, cirrhosis. Clostridioides difficile is the most common nosocomial cause of diarrhea and is associated with worse clinical outcomes in other liver diseases, including cirrhosis, but has not been extensively evaluated in concomitant NAFLD/NASH. Materials and MethodsWe conducted a retrospective cohort study using the National Inpatient Sample database from 2015 to 2017. Patients with a diagnosis of CDI, NAFLD, and NASH were identified using International Classification of Diseases (Tenth Revision) codes. The outcomes of our study include length of stay, hospitalization cost, mortality, and predictors of mortality. ResultsThe CDI and NASH cohort had a higher degree of comorbidity burden and prevalence of peptic ulcer disease, congestive heart failure, diabetes mellitus, and cirrhosis. Patients with NASH and CDI had a significantly higher mortality rate compared to the CDI only cohort (mortality, 7.11 % vs. 6.36 %; P = 0.042). Patients with CDI and NASH were at increased risk for liver-related complications, acute kidney injury, and septic shock (P < 0.001) compared to patients with CDI only. Older age, intestinal complications, pneumonia, sepsis and septic shock, and liver failure conferred an increased risk of mortality among the CDI and NASH cohort. ConclusionsPatients with NASH had a higher rate of liver-related complications, progression to septic shock, and mortality rate following CDI infection compared to the CDI only cohort.

Carboxylesterase-mediated imaging tool for diagnosis of liver injury and surgical resection navigation of pancreatic cancer

The liver and pancreas are both very important digestive and metabolic organs. Once a patient's liver and pancreas show lesions, such as accompanied by tumor proliferation or acute inflammation, their digestive function will be significantly damaged. The malfunction of carboxylesterase (CE) would indicate various metabolic diseases. Monitoring and utilizing the activity changes of CE of liver and pancreas related metabolic diseases will help to discover the pathological mechanisms and interaction between different organs, which would further provide indications for diagnosis and treatment. In this work, we developed a turn-on red fluorescent probe MG-CE with lysosome targeting for CE sensing in vitro and in vivo imaging showed a decrease of CE level in a hepatitis cell model and in non-alcoholic steatohepatitis (NASH) mouse. The fluorescence intensity was higher in pancreatic ductal adenocarcinoma (PDAC) than that in both cancerous and normal cells. Our results show that CE could promote the prodrug irinotecan activation and cause more significant damage to PDAC cells. Therefore, this work would provide a new molecular tool for the diagnostic imaging of NASH and PDAC, which is helpful in understanding the pathogenesis of NASH and the early diagnosis of NASH and PDAC.

The relationship and diagnostic efficacy of N-terminal propeptide type III collagen in pathological changes associated with non-alcoholic steatohepatitis.

This study delves into the role of N-terminal propeptide type III collagen (PIIINP) in the diagnosis and management of liver pathological changes associated with non-alcoholic steatohepatitis (NASH). We collected baseline information, pathological data, and serum PIIINP levels of 168 patients diagnosed with non-alcoholic fatty liver disease (NAFLD) via ultrasound imaging in our hospital. Based on the non-alcoholic fatty liver disease activity score (NAS), patients with different NAFLD patterns were divided into a Definite NASH group and a Not/borderline group. Differences in PIIINP levels and pathological features between the two groups were compared and analyzed. The diagnostic value of PIIINP for NASH was evaluated using the receiver operating characteristic (ROC) curve. Patients with NASH exhibited significantly higher values of homeostatic model assessment for insulin resistance (HOMA-IR), fibrosis biomarker fibrosis-4 (FIB-4), aminotransferase-to-platelet ratio index (APRI), and serum PIIINP levels than those classified as Not/borderline. A marked increase in the serum concentrations of PIIINP was observed with the severity of fatty degeneration, lobular inflammation, and hepatocellular ballooning. The AUC of PIIINP for diagnosing definite NASH was 0.766 (95% CI: 0.694, 0.839), APRI was 0.634 (95% CI: 0.549, 0.718), and FIB-4 was 0.621 (95% CI: 0.534, 0.708). The AUC of PIIINP for diagnosing definite NASH was significantly higher than that of APRI and FIB-4 (all p<0.05). Utilizing the predetermined threshold values for diagnostic parameters, the PIIINP measure demonstrated a sensitivity of 71.6% and a specificity of 73.6% in diagnosing definitive NASH when its value exceeded 7.72 ng/dL. This yielded a Youden index of 0.45. Similarly, when the APRI measure exceeded 0.21, it exhibited a sensitivity of 60.5% and a specificity of 63.2%, resulting in a Youden index of 0.24. Moreover, when the FIB-4 index surpassed 0.26, it showed a sensitivity of 46.9% and a specificity of 79.3%, culminating in a Youden index of 0.26. NASH patients in this study exhibited significantly elevated PIIINP serum levels, which were closely associated with hepatocyte pathological changes. PIIINP demonstrated superior competence in diagnosing NASH than APRI and FIB-4 and thus offers a viable alternative for the clinical diagnosis of NASH.

Machine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters

This study aims to develop a machine learning approach leveraging clinical data and blood parameters to predict non-alcoholic steatohepatitis (NASH) based on the NAFLD Activity Score (NAS). Using a dataset of 181 patients, we performed preprocessing including normalization and categorical encoding. To identify predictive features, we applied sequential forward selection (SFS), chi-square, analysis of variance (ANOVA), and mutual information (MI). The selected features were used to train machine learning classifiers including SVM, random forest, AdaBoost, LightGBM, and XGBoost. Hyperparameter tuning was done for each classifier using randomized search. Model evaluation was performed using leave-one-out cross-validation over 100 repetitions. Among the classifiers, random forest, combined with SFS feature selection and 10 features, obtained the best performance: Accuracy: 81.32% ± 6.43%, Sensitivity: 86.04% ± 6.21%, Specificity: 70.49% ± 8.12% Precision: 81.59% ± 6.23%, and F1-score: 83.75% ± 6.23% percent. Our findings highlight the promise of machine learning in enhancing early diagnosis of NASH and provide a compelling alternative to conventional diagnostic techniques. Consequently, this study highlights the promise of machine learning techniques in enhancing early and non-invasive diagnosis of NASH based on readily available clinical and blood data. Our findings provide the basis for developing scalable approaches that can improve screening and monitoring of NASH progression.

Diagnosis and Monitoring of Nonalcoholic Steatohepatitis: Current State and Future Directions.

Nonalcoholic fatty liver disease (NAFLD) is a common liver disease, with a worldwide prevalence of 25%. NAFLD is a spectrum that includes nonalcoholic fatty liver defined histologically by isolated hepatocytes steatosis without inflammation and nonalcoholic steatohepatitis (NASH) is the inflammatory subtype of NAFLD and is associated with disease progression, development of cirrhosis, and increased rates of liver-specific and overall mortality. The differentiation between NAFLD and NASH as well as staging NASH are important yet challenging clinical problems. Liver biopsy is currently the standard for disease diagnosis and fibrosis staging. However, this procedure is invasive, costly, and cannot be used for longitudinal monitoring. Therefore, several noninvasive quantitative imaging biomarkers have been proposed that can estimate the severity of hepatic steatosis and fibrosis. Despite this, noninvasive diagnosis of NASH and accurate risk stratification remain unmet needs. In this work, the most relevant available imaging biomarkers are reviewed and their application in patients with NAFLD are discussed.

A Real-World Experience Utilizing the FAST Score to Identify Patients With Nonalcoholic Steatohepatitis Fibrosis

We aimed to test the performance of the Fibroscan-aspartate aminotransferase (FAST) score, a noninvasive test, to identify nonalcoholic steatohepatitis (NASH) and significant fibrosis (NASH+ ≥F2) in a cohort of patients with a histological diagnosis of NASH, using a cutoff of ≥0.35 as a rule in factor. We also compared performance to liver stiffness measurement (LSM) ≥8 kPa and the fibrosis-4 index (FIB-4) ≥1.3 and attempted to identify risk factors to develop a model for improving diagnostic accuracy. Patients with histologically confirmed NASH were identified from 2020-2021. Demographic information, laboratory data, and LSM were collected. The FAST score and FIB-4 were calculated. Univariate and backward entry multivariate logistic regression analyses were performed to identify risk factors in addition to the FAST score ≥0.35 that are associated with an accurate histological diagnosis of NASH+ ≥F2. Discrimination and overall accuracy were assessed using area under receiver operating characteristic curves. Using a rule in cutoff of ≥0.35, the FAST score performed with a sensitivity, specificity, negative predictive value, and positive predictive value of 96.4%, 36.8%, 77.7%, and 81.8%, respectively. Age (P= .05) and FAST ≥0.35 (P= .001) correctly identified histologically confirmed NASH+ ≥F2. The FAST+ age model outperformed FAST ≥0.35 (0.70, confidence interval [CI]: 0.55-0.84), LSM ≥8 kPa (0.72, CI: 0.59-0.85), and FIB-4 ≥1.3 (0.73, CI: 0.59-0.87) with a c-statistic of 0.78 (CI: 0.64-0.92). A FAST score with a rule cutoff of ≥0.35 performed well (c-statistic: 0.70) and was superior to LSM and FIB-4 when age was incorporated into the model (0.78) in detecting NASH+ ≥F2 fibrosis in the real world.

Case-control analysis of venous thromboembolism risk in non-alcoholic steatohepatitis diagnosed by transient elastography.

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. Studies have shown a strong association between non-alcoholic steatohepatitis (NASH) cirrhosis and portal vein thrombosis. Specifically, there is paucity of data on the association of NASH and venous thromboembolism (VTE), with one such study predicting a 2.5-fold increased risk for VTE compared to other liver diseases in hospitalized patients. The mechanism is believed to be a hepatocellular injury, which causes a chronic inflammatory state leading to the unregulated activation of procoagulant factors. There has been no prior analysis of the degree of steatosis and fibrosis (measured using transient elastography, commonly known as FibroScan) in NASH and its association with VTE. To examine the association between the degree of hepatic steatosis and fibrosis, quantified by transient elastography, and the incidence of VTE in patients with NASH. In our case-control study, we included patients with a documented diagnosis of NASH. We excluded patients with inherited thrombophilia, hemoglobinopathy, malignancy, alcohol use disorder, autoimmune hepatitis, and primary biliary cirrhosis. The collected data included age, demographics, tobacco use, recreational drug use, medical history, and vibration controlled transient elastography scores. VTE-specific data included the location, type of anticoagulant, need for hospital stay, and history of VTE recurrence. Steatosis was categorized as S0-S1 (mild) and S2-S3 (moderate to severe) based on the controlled attenuation parameter score. Fibrosis was classified based on the kilopascal score and graded as F0-F1 (Metavir stage), F2, F3, and F4 (cirrhosis). χ2 and Mann-Whitney U tests were used for the qualitative and quantitative variable analyses, respectively. Furthermore, we performed a logistic regression using VTE as the dependent variable. A total of 415 patients were analyzed, and 386 met the inclusion criteria. 51 and 335 patients were included in the VTE and non-VTE groups, respectively. Patients with VTE had a mean age of 60.63 years compared to 55.22 years in the non-VTE group (P < 0.014). Patients with VTE had a higher body mass index (31.14 kg/m² vs 29.30 kg/m²) and a higher prevalence of diabetes mellitus (29.4% vs 13.1%). The history of NASH was significantly higher in the VTE group (45.1% vs 30.4%, P < 0.037). Furthermore, moderate-to-severe steatosis was significantly higher in the VTE group (66.7% vs 47.2%, P < 0.009). Similarly, the F2-F4 fibrosis grade had a prevalence of 58.8% in the VTE group compared to 38.5% in the non-VTE group (P < 0.006). On logistic regression, using VTE as a dependent variable, diabetes mellitus had an odds ratio (OR) =1.702 (P < 0.015), and F2-F4 fibrosis grade had an OR = 1.5 (P < 0.033). Our analysis shows that NASH is an independent risk factor for VTE, especially deep vein thrombosis. There was a statistically significant association between the incidence of VTE, moderate-to-severe steatosis, and fibrosis. All hospitalized patients should be considered for medical thromboprophylaxis, particularly those with NASH.

Serum Arylesterase, Paraoxonase, and Lactonase Activities and Paraoxonase-1 Concentrations in Morbidly Obese Patients and Their Relationship with Non-Alcoholic Steatohepatitis.

Paraoxonase-1 (PON1) is an antioxidant enzyme associated with high-density lipoproteins (HDL). Reduced serum PON1 activity is found in diseases marked by oxidative stress and inflammation, but its role in obesity remains unclear. This study investigated PON1 activities and concentrations in morbidly obese individuals and explored the impacts of the genetic polymorphism PON1 rs662 and non-alcoholic fatty liver disease on enzymatic properties. We recruited 1349 morbidly obese patients undergoing bariatric surgery and 823 non-obese volunteers. PON1-related variables, including arylesterase, paraoxonase, and lactonase activities and PON1 concentrations, were examined. Our results showed that morbidly obese individuals exhibited higher PON1 concentrations but lower enzymatic activities than non-obese individuals. We observed inverse associations of arylesterase and paraoxonase activities with waist circumference (rho = -0.24, p < 0.001, and rho = -0.30, p < 0.001, respectively) and body mass index (rho = -0.15, p = 0.001, and rho = -0.23, p < 0.001), as well as direct associations of arylesterase, paraoxonase, and lactonase activities with HDL cholesterol (rho = 0.11, p = 0.005, rho = 0.20, p < 0.001, and rho = 0.20, p < 0.001). No significant differences were observed regarding metabolic syndrome, type 2 diabetes mellitus, hypertension, dyslipidemia, rs662 polymorphism allele frequencies, or the diagnosis of non-alcoholic steatohepatitis. Nevertheless, correlations were found between certain PON1-related variables, steatosis, and ballooning. In conclusion, changes in PON1-related variables in morbidly obese patients are dependent on the disease itself and HDL levels. The relationships between these variables and specific liver histological changes raise intriguing questions for consideration in future studies.

Sequential ultrasound molecular imaging for noninvasive identification and assessment of non-alcoholic steatohepatitis in mouse models

Background and objectiveNoninvasive non-alcoholic steatohepatitis (NASH) assessment is a clinical challenge to the management of non-alcoholic fatty liver disease. We aim to develop diagnostic models based on sequential ultrasound molecular imaging (USMI) for the noninvasive identification of NASH in mouse models. MethodsAnimal experiments were approved by the Animal Ethics Committee of South China Agricultural University. Forty-nine C57BL/6 mice were divided into normal control, non-alcoholic fatty liver, NASH, and hepatitis groups. Sequential USMI was implemented using CD36-targeted microbubbles (MBs-CD36) and intercellular adhesion molecule-1 (ICAM-1)-targeted microbubbles (MBs-ICAM-1) to visualize hepatic steatosis and inflammation. The targeting signal of USMI was quantified as the normalized intensity difference (NID) with the destruction-replenishment method. Correlation analysis was conducted between the NID-MBs-CD36 and pathological steatosis score and between the NID-MBs-ICAM-1 and pathological inflammation score. Finally, diagnostic models combining NID-MBs-CD36 with NID-MBs-ICAM-1 were established for NASH diagnosis. ResultsMBs-CD36 and MBs-ICAM-1 were successfully prepared and used for sequential USMI in all mice. NID-MBs-CD36 values increased with the progression of steatosis, while NID-MBs-ICAM-1 values increased in parallel with the progression of inflammation. A strong positive correlation was identified between NID-MBs-CD36 and pathological steatosis grade (rs = 0.9078, P < 0.0001) and between NID-MBs-ICAM-1 and pathological inflammation grade (rs = 0.9071, P < 0.0001). Among various sequential USMI-based diagnostic models, the serial testing model showed high diagnostic performance in detecting NASH, with 95% sensitivity, 97% specificity, 95% positive predictive values, 97% negative predictive values, and 96% accuracy. ConclusionsSequential USMI using MBs-CD36 and MBs-ICAM-1 allows noninvasive grading of hepatic steatosis and inflammation. Sequential USMI-based diagnostic models hold great potential in the noninvasive identification of NASH.

Identification and multicentric validation of soluble CDCP1 as a robust serological biomarker for risk stratification of NASH in obese Chinese

The definitive diagnosis of non-alcoholic steatohepatitis (NASH) currently relies on invasive and labor-intensive liver biopsy. Here, we identified soluble CUB domain-containing protein 1 (sCDCP1) as a top-ranked non-invasive biomarker for NASH using Olink-based proteomics in 238 obese individuals with liver biopsies. Both the circulating concentration and hepatic mRNA abundance of sCDCP1 were significantly elevated in patients with NASH and correlated closely with each histological feature of NASH. In the pooled multicenter validation cohort, sCDCP1 as a standalone biomarker achieved an area under the receiver operating characteristic (AUROC) of 0.838 (95% confidence interval [CI] 0.789-0.887) for diagnosing NASH, which is better than those achieved with cytokeratin-18 and other non-invasive tests. Furthermore, the C-DAG model established by the combination of sCDCP1 with diabetes, aspartate aminotransferase (AST), and gender accurately rules in and rules out both NASH and fibrotic NASH (gray zones <20%). Thus, sCDCP1-based non-invasive tests can be potentially implemented for screening and early diagnosis of NASH and for ruling out low-risk individuals to avoid unnecessary liver biopsies.

Metabonomics Application on Screening Serum Biomarkers of Golden Hamsters with Nonalcoholic Steatohepatitis Induced by High-Fat Diet.

Nonalcoholic steatohepatitis (NASH) is a common liver injury which will develop into advanced fibrosis and cirrhosis. This study was designed to identify the different serum metabolites of NASH hamsters and predict the diagnosis biomarkers for NASH. Golden hamsters were randomly divided into a control group that received a normal diet and a NASH group that received a high-fat diet (HFD). After 12 weeks of feeding, the body and liver weight of the hamsters were monitored. Serum biochemical parameters and liver histopathological changes were analyzed. Moreover, an untargeted metabolomics analysis based on a GCTOF/ MS system was performed to identify the serum differential metabolites between the NASH and control groups. The liver weight was increased in the NASH group, accompanied by significantly higher levels of serum TC, TG, ALT, AST, LDL-C, and lower HDL-C. HE, Masson, and oil red O staining showed the hepatocyte structure destroyed, lipid droplets accumulated, and fibers proliferated in the NASH group. Furthermore, 63 differential metabolites were identified by metabolomic analysis. Lipids and fatty acids were significantly up-regulated in the NASH group. The top 9 differential metabolites included cholesterol, methyl phosphate, taurine, alpha-tocopherol, aspartic acid, etc. Metabolites were mainly involved in amino acid metabolism (glycine, cysteine, taurine), spermine, fatty acid biosynthesis, urea cycle, bile acid metabolism pathways, etc. Conclusion: Metabonomics analysis identified 63 differential metabolites in the serum of NASH hamsters; among them, lipids and fatty acids had a key role and may be used as biomarkers for the early diagnosis of NASH.

Risk factors for fibrosis progression in non-alcoholic steatohepatitis: Analysis of the European cohort in the real-world GAIN study

ObjectiveTo better understand drivers of disease progression in non-alcoholic steatohepatitis (NASH), we assessed clinical and sociodemographic markers of fibrosis progression in adults with NASH. Patients and methodsPhysician-reported patient demographics and clinical characteristics were utilised from the real-world Global Assessment of the Impact of NASH (GAIN) study. Factors associated with likelihood of fibrosis progression since NASH diagnosis were identified using a logistic regression model. ResultsOverall, 2349 patients in Europe from the GAIN study were included; mean age was 54.6 years and 41% were women. Significant covariates included age, years since diagnosis, employment status, fibrosis stage at diagnosis, type 2 diabetes mellitus, hypertension, liver transplant and liver biopsy at diagnosis. Risk of progression was 1.16 (95% confidence interval 1.12–1.20; p<0.001) times higher for each additional year since NASH diagnosis and 5.43 (2.68–11.37; p<0.001) times higher when physicians proposed a liver transplant at diagnosis. Compared with full-time employed patients, risk of progression was 1.77 (1.19–2.60; p=0.004) times higher for unemployed patients and 3.16 (1.30–7.63; p=0.010) times higher for those unable to work due to NASH. ConclusionsDisease duration, NASH severity and presence of other metabolic comorbidities could help to assess risk of progression in patients with NASH.

Bariatric Surgery and Inflammatory Bowel Disease: National Trends and Outcomes Associated with Procedural Sleeve Gastrectomy vs Historical Bariatric Surgery Among US Hospitalized Patients 2009–2020

PurposeThe association between bariatric surgery and IBD-related inpatient outcomes is not well characterized. We report, analyze, and compare inpatient trends and outcomes among encounters with a history of bariatric surgery (Hx-MBS) compared to those receiving bariatric surgery during index admission (PR-MBS) admitted from 2009 to 2020.MethodsRetrospective cohort design: the 2009–2020 National Inpatient Sample (NIS) databases were used to identify hospital encounters with patients aged ≥ 18 years with a history of MBS (Hx-MBS) or with procedure coding indicating MBS procedure (PR-MBS) according to International Classification of Diseases, Ninth (ICD-9-CM/ ICD-9-PCS) or Tenth Revision (ICD-10-CM/ICD-10-PCS) Clinical Modification/Procedure Coding System during index admission (ICD-9-CM: V4586; ICD-10-CM: Z9884; ICD-9-PR: 4382, 4389; ICD-10-PR: 0DB64Z3, 0DB63ZZ). Pearson χ2 analysis, analysis of variance, multivariable regression analyses, and propensity matching on independent variables were conducted to analyze significant associations between variables and for primary outcome inflammatory bowel disease-related admission, and secondary outcomes: diagnosis of nonalcoholic steatohepatitis, nonalcoholic fatty liver disease, or chronic mesenteric ischemia during admission.ResultsWe identified 3,365,784 (76.20%) Hx-MBS hospitalizations and 1,050,900 hospitalizations with PR-MBS (23.80%). Propensity score matching analysis demonstrated significantly higher odds of inflammatory bowel disease, and chronic mesenteric ischemia for Hx-MBS compared to PR-MBS, and significantly lower odds of nonalcoholic steatohepatitis and nonalcoholic fatty liver disease for Hx-MBS compared to PR-MBS.ConclusionIn our study, Hx-MBS was associated with significantly increased odds of inflammatory bowel disease and other GI pathologies compared to matched controls. The mechanism by which this occurs is unclear. Additional studies are needed to examine these findings.Graphical abstract

The incremental cost of non-alcoholic steatohepatitis and type 2 diabetes in the United States using real-world data

Background Non-alcoholic steatohepatitis (NASH) and type 2 diabetes (T2D) are both linked to substantial healthcare costs and are often co-occurring. We aim to quantify the incremental cost of NASH and T2D using real-world data. Methods Adults (≥18 years old) with ≥2 diagnosis codes for NASH and/or ≥2 diagnosis codes for T2D between 1/1/2016 and 12/31/2021 and ≥24 months of continuous claims enrollment (study period) were identified in electronic health records or claims in the Veradigm Integrated Dataset. Patients were stratified into 3 cohorts: NASH-only, T2D-only, and NASH + T2D. We calculated annualized costs for the 24-month study period and fit a generalized linear model (excluding the most expensive 1%) that controlled for disease cohort, age, sex, and modified Charlson comorbidity index to estimate the per year all-cause healthcare costs and incremental cost of adding T2D to a NASH diagnosis (or vice versa). Results We identified 23,111 patients diagnosed with NASH-only, 3,548,786 patients with T2D-only, and 30,339 patients with NASH + T2D. The model-predicted mean costs per year were $7,668 for patients with NASH-only, $11,226 for patients with T2D-only, and $16,812 for patients with NASH + T2D. The incremental increase in costs per year of adding T2D to NASH was 63% (+$4,846), and the incremental increase in costs per year of adding NASH to T2D was 42% (+$4,692). Conclusions Both NASH and T2D contribute to the high healthcare costs among patients with a dual diagnosis. Results from our analysis indicate that NASH comprises a high portion of total healthcare costs among patients with NASH and T2D.

Comparison of laparoscopic evaluation of hepatosteatosis with ultrasound findings.

Nonalcoholic fatty liver disease (NAFLD) is a condition characterized by abnormal liver function because of lipid accumulation. NAFLD can range from simple fatty liver, which is usually harmless, to a more severe condition called non-alcoholic steatohepatitis (NASH), which involves inflammation, liver cell damage, cirrhosis, and liver cancer. Liver biopsy is considered the gold standard for diagnosing and staging hepatosteatosis, but it is an invasive and expensive procedure. Non-invasive methods, such as ultrasound, and magnetic resonance imaging (MRI), can provide useful information without the need for an invasive procedure. This study aimed to compare laparoscopic findings of hepatosteatosis with ultrasound data to create a classification that can identify individuals with NASH in operated patients. 120 patients who applied to the General Surgery Department of Istinye University Faculty of Medicine between 06/2022 and 12/2022 were included in the study. They were evaluated for hepatosteatosis with preoperative ultrasound. Demographic, physical examination (BMI), laboratory, and radiological findings of the patients were recorded retrospectively. In addition, laparoscopy video recordings were reviewed retrospectively, and the findings were evaluated. Statistical analysis of the findings was made. The p-value was calculated using the Chi-square test; p-value <0.05 was considered statistically significant. The mean age of 120 patients was 39.04 years, the mean BMI was 34.9 kg/m², and 63.3% of them were female patients. Cholecystectomy was performed in 60 of 120 patients, and sleeve gastrectomy in 60 of them. It has been observed that there is a high correlation between the ultrasound grade and the laparoscopic stage of hepatosteatosis (r=0.849) (p<0.05). Laparoscopy results to be an effective method in the diagnosis and classification of NASH.