Non-invasive tests of non-alcoholic fatty liver disease

Diagnostic Accuracy of Non-Invasive Diagnostic Tests for Nonalcoholic Fatty Liver Disease: A Systematic Review and Network Meta-Analysis

PURPOSE

In recent decades, numerous non-invasive tests (NITs) for diagnosing nonalcoholic fatty liver disease (NAFLD) have been developed, however, a comprehensive comparison of their relative diagnostic accuracies is lacking. We aimed to assess and compare the diagnostic accuracy of various NITs for NAFLD using network meta-analysis (NMA).

MATERIALS AND METHODS

We conducted a systematic search in seven databases up to April 2024 to identify studies evaluating the diagnostic values of NITs, with liver biopsy as the gold standard. The participants included patients with suspected or confirmed NAFLD, irrespective of age, sex, ethnicity. Statistical analysis was conducted using R 4.0.3 for Bayesian NMA and STATA 17.0 for pairwise meta-analysis. Sensitivity, specificity, diagnostic odds ratio (DOR), area under the receiver operating characteristic curve (AUC), and superiority index were calculated. Bayesian calculations were performed using the Rstan package, specifying parameters like MCMC chain count, iteration count, and operational cycles. The methodological quality of included studies was assessed using the QUADAS-2 tool.

RESULTS

Out of 15,877 studies, 180 were included in the quantitative synthesis, and 102 were used in head-to-head meta-analyses. For diagnosing steatosis stage 1, Hydrogen Magnetic Resonance Spectroscopy (H-MRS, DOR 15,745,657.6, 95% CI 17.2-1,014,063.59) proved to be the most accurate. For significant fibrosis, HRI leading (DOR 80.94, 95% CI 6.46-391.41), For advanced fibrosis, CK-18 showed the highest performance (DOR 102654.16, 95% CI 1.6-134,059.8). For high-risk NASH, Real-Time Elastography showing the highest performance (DOR 18.1, 95% CI 0.7-96.33). Meta-regression analyses suggested that variability in the diagnostic accuracy of NITs for NAFLD may result from differences in study design, thresholds, populations, and performance indicators.

CONCLUSION

We conducted a network meta-analysis to rank the accuracy of these tests. While some results are promising, not all NITs demonstrate substantial accuracy, highlighting the need for validation with larger datasets. Future research should concentrate on studying the thresholds of NITs and enhancing the clarity of methodological reporting.

Kidney function mediates the association of per- and poly-fluoroalkyl substances (PFAS) and heavy metals with hepatic fibrosis risk

Heavy metals and per- and polyfluoroalkyl substances (PFAS) are significantly associated with the risk of hepatic fibrosis. However, the potential mediating effect of kidney function in the relationship between heavy metals, PFAS, and hepatic fibrosis risk remains unexplored. This research gap limits the development of hepatic fibrosis prevention and treatment strategies. To address this, this study conducts a cross-sectional analysis based on data from 10,870 participants in NHANES 2005-2018 to explore the relationship between heavy metals, PFAS, and the risk of hepatic fibrosis, as well as the mediating effect of kidney function. Participants with a Fibrosis-4 index <1.45 are defined as not having hepatic fibrosis in this study. Results from generalized linear regression models and weighted quantile sum regression models indicate that both individual and combined exposures to heavy metals and PFAS are positively associated with the risk of hepatic fibrosis. Nonlinear exposure-response functions suggest that there may be a threshold for the relationship between heavy metals (except mercury) and PFAS with the risk of hepatic fibrosis. Furthermore, heavy metals and PFAS increase the risk of kidney function impairment. After stratification by kidney function stage, the relationship between heavy metals (except lead) and proteinuria is not significant, while PFAS show a significant negative association with proteinuria. The decline in kidney function has a significant mediating effect in the relationship between heavy metals and PFAS and the risk of hepatic fibrosis, with mediation effect proportions all above 20%. The findings suggest that individual or combined exposure to heavy metals and PFAS does not increase the risk of hepatic fibrosis until a certain threshold is reached, and the mediating role of declining kidney function is very important. These results highlight the need to consider kidney function in the context of hepatic fibrosis risk assessment and management.

Noninvasive tools for the assessment of fibrosis in metabolic dysfunction-associated steatotic liver disease

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously nonalcoholic fatty liver disease (NAFLD), is the number one chronic liver disorder worldwide. Progression to advanced fibrosis marks the emergence of a significant risk of liver-related negative outcomes. However, only a minority of patients will present at this stage. Since widespread liver biopsy in unfeasible at such high disease prevalence, there was a need to develop noninvasive tests (NITs) that could easily and reliably be applied to patients with MASLD, regardless of clinical setting. The NITs include simple scores, like the fibrosis-4 (FIB-4) Index, patented serum tests, like the Enhanced Liver Fibrosis test (ELF™), and imaging-based modalities, like the vibration-controlled transient elastography (VCTE). Guidelines suggests a stepwise approach that utilizes more than one NIT, with FIB-4 <1.30 being used as a first step to rule out patients that do not need further testing. Subsequent choice of NIT will be influenced by setting, cost, and local availability. While these NITs are accurate, they are not perfect. As such, research is ongoing. A promising avenue is that of omics, a group of technologies that provide concomitant results on a large number of molecules (and other variables). With the advance of artificial intelligence, new NITs may arise from large demographic, biochemical, and radiological data sets.

Guideline for the Prevention and Treatment of Metabolic Dysfunction-associated Fatty Liver Disease (Version 2024)

With the rising epidemic of obesity, metabolic syndrome, and type 2 diabetes mellitus in China, metabolic dysfunction-associated non-alcoholic fatty liver disease has become the most prevalent chronic liver disease. This condition frequently occurs in Chinese patients with alcoholic liver disease and chronic hepatitis B. To address the impending public health crisis of non-alcoholic fatty liver disease and its underlying metabolic issues, the Chinese Society of Hepatology and the Chinese Medical Association convened a panel of clinical experts to revise and update the "Guideline of prevention and treatment of non-alcoholic fatty liver disease (2018, China)". The new edition, titled "Guideline for the prevention and treatment of metabolic dysfunction-associated fatty liver disease (Version 2024)", offers comprehensive recommendations on key clinical issues, including screening and monitoring, diagnosis and evaluation, treatment, and follow-up for metabolic dysfunction-associated fatty liver disease and metabolic dysfunction-associated steatotic liver disease. Metabolic dysfunction-associated fatty liver disease is now the preferred English term and is used interchangeably with metabolic dysfunction-associated steatotic liver disease. Additionally, the guideline emphasizes the importance of multidisciplinary collaboration among hepatologists and other specialists to manage cardiometabolic disorders and liver disease effectively.

Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis

Background: Although increasing in prevalence, nonalcoholic steatohepatitis (NASH) is often undiagnosed in clinical practice. Objective: This study identified patients in the Veterans Affairs (VA) health system who likely had undiagnosed NASH using a machine learning algorithm. Methods: From a VA data set of 25 million adult enrollees, the study population was divided into NASH-positive, non-NASH, and at-risk cohorts. We performed a claims data analysis using a machine learning algorithm. To build our model, the study population was randomly divided into an 80% training subset and a 20% testing subset and tested and trained using a cross-validation technique. In addition to the baseline model, a gradient-boosted classification tree, naïve Bayes, and random forest model were created and compared using receiver operator characteristics, area under the curve, and accuracy. The best performing model was retrained on the full 80% training subset and applied to the 20% testing subset to calculate the performance metrics. Results: In total, 4 223 443 patients met the study inclusion criteria, of whom 4903 were positive for NASH and 35 528 were non-NASH patients. The remainder was in the at-risk patient cohort, of which 514 997 patients (12%) were identified as likely to have NASH. Age, obesity, and abnormal liver function tests were the top determinants in assigning NASH probability. Conclusions: Utilization of machine learning to predict NASH allows for wider recognition, timely intervention, and targeted treatments to improve or mitigate disease progression and could be used as an initial screening tool.

Non-invasive Scores and Serum Biomarkers for Fatty Liver in the Era of Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD): A Comprehensive Review From NAFLD to MAFLD and MASLD

PURPOSE OF REVIEW

The prevalence of non-alcoholic fatty liver disease (NAFLD) is rapidly increasing worldwide, making it the leading cause of liver related morbidity and mortality. Currently, liver biopsy is the gold standard for assessing individuals with steatohepatitis and fibrosis. However, its invasiveness, sampling variability, and impracticality for large-scale screening has driven the search for non-invasive methods for early diagnosis and staging. In this review, we comprehensively summarise the evidence on the diagnostic performance and limitations of existing non-invasive serum biomarkers and scores in the diagnosis and evaluation of steatosis, steatohepatitis, and fibrosis.

RECENT FINDINGS

Several non-invasive serum biomarkers and scores have been developed over the last decade, although none has successfully been able to replace liver biopsy. The introduction of new NAFLD terminology, namely metabolic dysfunction-associated fatty liver disease (MAFLD) and more recently metabolic dysfunction-associated steatotic liver disease (MASLD), has initiated a debate on the interchangeability of these terminologies. Indeed, there is a need for more research on the variability of the performance of non-invasive serum biomarkers and scores across the diagnostic entities of NAFLD, MAFLD and MASLD. There remains a significant need for finding valid and reliable non-invasive methods for early diagnosis and assessment of steatohepatitis and fibrosis to facilitate prompt risk stratification and management to prevent disease progression and complications. Further exploration of the landscape of MASLD under the newly defined disease subtypes is warranted, with the need for more robust evidence to support the use of commonly used serum scores against the new MASLD criteria and validation of previously developed scores.

Degree of Discordance Between FIB-4 and Transient Elastography: An Application of Current Guidelines on General Population Cohort

BACKGROUND & AIMS

In the American Gastroenterological Association/American Association for the Study of Liver Diseases (AGA/AASLD) Clinical Care Pathway, Fibrosis-4 index (FIB-4) is used to stratify patients at risk for metabolic dysfunction-associated steatotic liver disease (MASLD) as low-, indeterminate-, or high-risk for developing advanced liver fibrosis. We assessed the performance of FIB-4 in a general population.

METHODS

Using the 2017 to 2020 National Health and Nutrition Examination Surveys dataset, we selected subjects ≥18 years who had FibroScan data. We followed AGA/AASLD guidelines to identify subjects with characteristics that place them at risk for MASLD-associated liver fibrosis. Other causes of liver disease were excluded. Our final cohort had 3741 subjects. We then categorized these subjects based on recommended FIB-4 cutoffs. FibroScan liver stiffness measurement (LSM) served as the outcome measurement.

RESULTS

Among the 2776 subjects (74.2%) classified as low risk by FIB-4, 277 subjects (10%) were not classified at low risk by LSM, and 75 subjects (2.7%) were classified as high risk by LSM. Among the 86 subjects classified as high risk by FIB-4, 68 subjects (79.1%) were not at high risk by LSM, and 54 subjects (62.8%) were at low risk by LSM. Subjects misclassified by FIB-4 as low risk were older; had a higher body mass index, waist circumference, glycohemoglobin A1c level, alanine transaminase, aspartate transaminase, diastolic blood pressure, controlled attenuation parameter score, white blood cell count, alkaline phosphatase, and fasting glucose level; but had lower high-density lipoprotein, and albumin level (all P < .05). Misclassified subjects were also more likely to have prediabetes/diabetes.

CONCLUSION

Using FIB-4 in the AGA/AASLD guidelines to risk-stratify subjects at risk for MASLD-associated fibrosis results in many subjects being misclassified into the low- and high-risk categories. Therefore, it may be worthwhile considering caution in interpretation and/or alternative strategies.

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.

Noninvasive models for the prediction of liver fibrosis in patients with chronic hepatitis B

OBJECTIVE

To evaluate the diagnostic accuracy of aspartate aminotransferase(AST)/ alanine transaminase (ALT), AST to platelet ratio index (APRI), fibrosis-4 score (FIB-4) and gamma-glutamyl transpeptidase to platelet count ratio (GPR) for hepatic fibrosis in patients with chronic hepatitis B (CHB).

METHODS

A total of 1210 CHB patients who underwent liver biopsy were divided into two groups: patients with no significant fibrosis (control group) and patients with significant fibrosis, and routine laboratory tests were retrospectively included. Logistic regression models were used for the prediction, and the area under the receiver operating characteristic (AUROC) was used to assess the diagnostic accuracy.

RESULTS

A total of 631 (52.1%) and 275 (22.7%) patients had significant fibrosis (≥ S2) and advanced fibrosis (≥ S3), respectively. The GPR showed significantly higher diagnostic accuracy than that of APRI, FiB-4, and AST/ALT to predict ≥ S2(significant fibrosis) and ≥ S3 fibrosis(advanced fibrosis), with an AUROC was 0.69 (95%CI: 0.66-0.71) and 0.72 (0.69-0.75), respectively. After stratified by the status of HBeAg ( positive or negative), GPR, APRI, and FiB-4 showed improved predicting performance for significant fibrosis and advanced fibrosis in HBeAg positive patients, with the most significant improvement was shown for GPR in predicting significant fibrosis (AUROC = 0.74, 95%CI: 0.70-0.78).

CONCLUSIONS

Among the four noninvasive models, GPR has the best performance in the diagnosis of hepatic fibrosis in CHB patients and is more valuable in HBeAg-positive patients.

Identification of signature gene set as highly accurate determination of metabolic dysfunction-associated steatotic liver disease progression

BACKGROUND/AIMS

Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by fat accumulation in the liver. MASLD encompasses both steatosis and MASH. Since MASH can lead to cirrhosis and liver cancer, steatosis and MASH must be distinguished during patient treatment. Here, we investigate the genomes, epigenomes, and transcriptomes of MASLD patients to identify signature gene set for more accurate tracking of MASLD progression.

METHODS

Biopsy-tissue and blood samples from patients with 134 MASLD, comprising 60 steatosis and 74 MASH patients were performed omics analysis. SVM learning algorithm were used to calculate most predictive features. Linear regression was applied to find signature gene set that distinguish the stage of MASLD and to validate their application into independent cohort of MASLD.

RESULTS

After performing WGS, WES, WGBS, and total RNA-seq on 134 biopsy samples from confirmed MASLD patients, we provided 1,955 MASLD-associated features, out of 3,176 somatic variant callings, 58 DMRs, and 1,393 DEGs that track MASLD progression. Then, we used a SVM learning algorithm to analyze the data and select the most predictive features. Using linear regression, we identified a signature gene set capable of differentiating the various stages of MASLD and verified it in different independent cohorts of MASLD and a liver cancer cohort.

CONCLUSION

We identified a signature gene set (i.e., CAPG, HYAL3, WIPI1, TREM2, SPP1, and RNASE6) with strong potential as a panel of diagnostic genes of MASLD-associated disease.

Integrating single-cell and bulk sequencing data to identify glycosylation-based genes in non-alcoholic fatty liver disease-associated hepatocellular carcinoma

Background

The incidence of non-alcoholic fatty liver disease (NAFLD) associated hepatocellular carcinoma (HCC) has been increasing. However, the role of glycosylation, an important modification that alters cellular differentiation and immune regulation, in the progression of NAFLD to HCC is rare.

Methods

We used the NAFLD-HCC single-cell dataset to identify variation in the expression of glycosylation patterns between different cells and used the HCC bulk dataset to establish a link between these variations and the prognosis of HCC patients. Then, machine learning algorithms were used to identify those glycosylation-related signatures with prognostic significance and to construct a model for predicting the prognosis of HCC patients. Moreover, it was validated in high-fat diet-induced mice and clinical cohorts.

Results

The NAFLD-HCC Glycogene Risk Model (NHGRM) signature included the following genes: SPP1, SOCS2, SAPCD2, S100A9, RAMP3, and CSAD. The higher NHGRM scores were associated with a poorer prognosis, stronger immune-related features, immune cell infiltration and immunity scores. Animal experiments, external and clinical cohorts confirmed the expression of these genes.

Conclusion

The genetic signature we identified may serve as a potential indicator of survival in patients with NAFLD-HCC and provide new perspectives for elucidating the role of glycosylation-related signatures in this pathologic process.

Recent Progresses on Pathophysiology, Diagnosis, Therapeutic Modalities, and Management of Non-alcoholic Fatty Liver Disorder

Abstract:

Non-alcoholic fatty liver disease (NAFLD) is currently the utmost common chronic liver disorder that happens through all age groups and is identified to occur in 14%-30% of the general population, demonstrating a critical and grossing clinical issue because of the growing incidence of obesity and overweight. From the histological aspect, it looks like alcoholic liver damage, but it happens in patients who avoid remarkable alcohol usage. NAFLD comprises a broad spectrum, ranging from benign hepatocellular steatosis to inflammatory nonalcoholic steatohepatitis (NASH), different levels of fibrosis, and cirrhosis. Patients with NASH are more susceptible to more rapid progression to cirrhosis and hepatocellular carcinoma. There is no single factor that drives proceeding from simple steatosis to NASH. However, a combination of multi parameters such as genetic background, gut microflora, intake of high fat/ fructose dietary contents or methionine/choline-deficient diet, and consequently accumulated hepatocellular lipids mainly including triglycerides and also other bio-analytes, such as free fatty acids, cholesterol, and phospholipids display a crucial role in disease promotion. NAFLD is related to overweight and insulin resistance (IR) and is regarded as the hepatic presentation of the metabolic syndrome, an amalgamation of medical statuses such as hyperlipidemia, hypertension, type 2 diabetes, and visceral obesity. Despite the increasing prevalence of this disease, which imposes a remarkable clinical burden, most affected patients remain undiagnosed in a timely manner, largely related to the asymptomatic entity of NAFLD patients and the unavailability of accurate and efficient noninvasive diagnostic tests. However, liver biopsy is considered a gold standard for NAFLD diagnosis, but due to being expensive and invasiveness is inappropriate for periodic disease screening. Some noninvasive monitoring approaches have been established recently for NAFLD assessment. In addition to the problem of correct disease course prediction, no effective therapeutic modalities are approved for disease treatment. Imaging techniques can commonly validate the screening and discrimination of NAFLD; nevertheless, staging the disease needs a liver biopsy. The present therapeutic approaches depend on weight loss, sports activities, and dietary modifications, although different insulin-sensitizing drugs, antioxidants, and therapeutic agents seem hopeful. This review aims to focus on the current knowledge concerning epidemiology, pathogenesis, and different biochemical experiments and imaging modalities applied to diagnose the different grades of NAFLD and its management, as well as new data about pharmacological therapies for this disorder.

Review and expert opinion on MAFLD, oxidative stress and multifunctional management

Metabolic-associated fatty-liver disease (MAFLD), previously known as non-alcoholic fatty liver disease, is the most widespread and emerging chronic liver disease worldwide, with increasing prevalence rates also in the Asia-Pacific region. The disease has a high socio-economic burden as it negatively impacts the finances and quality of life of individuals affected and has a major burden on healthcare systems. The most important pathological event in MAFLD aetiopathogenesis is oxidative stress, which leads to functional and structural abnormalities in the liver as well as being involved in the development of other concomitant cardiometabolic diseases. MAFLD is a rather complex multisystemic clinical condition involving liver damage and a wide spectrum of extrahepatic manifestations such as obesity, type 2 diabetes, metabolic syndrome and cardiovascular diseases. This complexity requires the cooperation of multiple experts to identify MAFLD at an early stage, treat associated comorbidities, and promptly refer the patient to the hepatologist when needed. This review summarizes the current knowledge about MAFLD and reports the opinion of a group of experts on the increasing prevalence and burden of the disease in the southeast Asia region, the current journey of patients with MAFLD in developing countries, the role of oxidative stress and antioxidant treatment, and the importance of a multidisciplinary approach for early diagnosis and disease management. This article is part of the Current clinical use of silymarin in the treatment of toxic liver diseases: a case series Special Issue: https://www.drugsincontext.com/special_issues/current-clinical-use-of-silymarin-in-the-treatment-of-toxic-liver-diseases-a-case-series.

Synthesis and preclinical evaluation of a 89Zr-labelled human single chain antibody for non-invasive detection of hepatic myofibroblasts in acute liver injury

Synaptophysin is expressed on fibrogenic hepatic myofibroblasts. C1-3 is a single chain human antibody (scAb) that binds specifically to synaptophysin on hepatic myofibroblasts, providing a targeting vector for novel in vivo imaging agents of chronic liver disease. C1-3 and a negative control scAb, CSBD9, were radiolabelled with zirconium-89 via desferrioxamine chelation to enable non-invasive molecular imaging with positron emission tomography (PET). DFO-scAb conjugates were characterised by gel electrophoresis (SDS-PAGE) and MALDI-TOF spectrometry, and 89Zr-labelled with high radiolabelling efficiency (99%). [89Zr]Zr-DFO-C1-3 exhibited high in vitro stability (> 99%) in mouse and human sera over 3 days at 25 and 37 °C. Activated hepatic myofibroblasts incubated with [89Zr]Zr-DFO-C1-3 displayed significantly higher internalised activity (59.46%, P = 0.001) compared to the [89Zr]Zr-DFO-CSBD9 control, indicating synaptophysin-mediated uptake and high binding specificity of [89Zr]Zr-DFO-C1-3. Mice with CCl4-induced acute liver damage exhibited significantly higher liver uptake of [89Zr]Zr-DFO-C1-3, compared to controls, confirmed by both Cerenkov imaging and ex vivo gamma counting (4.41 ± 0.19%ID/g, P < 0.0001). CCl4-induced liver damage and the number of hepatic myofibroblasts was confirmed by αSMA staining of liver sections. These findings indicate that [89Zr]Zr-DFO-C1-3 has promising utility as a PET imaging agent for non-invasive detection of hepatic myofibroblasts following acute liver injury.

Risk and predictors of hepatic decompensation in grey zone patients by the Baveno VII criteria: A competing risk analysis

BACKGROUND

Baveno VII was proposed for non-invasive identification of clinically significant portal hypertension. However, a substantial proportion of patients is classified in the grey zone (i.e., liver stiffness 15-24.9 kPa and/or platelet count <150 × 109 /L).

AIMS

To evaluate the risk and predictors of hepatic decompensation in patients in the grey zone, and to determine the prognostic role of spleen stiffness measurement.

METHODS

We included prospective cohorts (from Hong Kong, Korea and France) of patients who had undergone transient elastography examination for chronic liver disease. We estimated risk of hepatic decompensation using competing risk regression with hepatocellular carcinoma and non-liver-related death as competing events.

RESULTS

We identified 2763 patients with compensated advanced chronic liver disease (cACLD). There were 1243 (44.9%) and 536 (19.4%) patients in the Baveno VII grey zone and high-risk groups, respectively. The cumulative incidence of decompensation at 5 years was significantly different among low-risk (0.6% [95% CI: 0.2%-1.3%]), grey zone 4.2% (95% CI: 3.1%-5.4%) and high-risk groups (11.4% [95% CI: 8.7%-14.6%]). By competing risk analysis, aetiology of liver disease (alcohol-related liver disease), albumin-bilirubin score and alkaline phosphatase level were independently associated with decompensation among patients in the grey zone. The combination of Baveno VII and spleen stiffness significantly reduced patients classified into grey zone (12.8% in cACLD patients), while maintaining high discrimination of decompensation in low- and high-risk groups.

CONCLUSIONS

Patients in grey zone of Baveno VII criteria remain at high risk of hepatic decompensation. Clinical risk factors and spleen stiffness can further stratify the risk in such patients.

Resistant starch decreases intrahepatic triglycerides in patients with NAFLD via gut microbiome alterations

Non-alcoholic fatty liver disease (NAFLD) is a hepatic manifestation of metabolic dysfunction for which effective interventions are lacking. To investigate the effects of resistant starch (RS) as a microbiota-directed dietary supplement for NAFLD treatment, we coupled a 4-month randomized placebo-controlled clinical trial in individuals with NAFLD (ChiCTR-IOR-15007519) with metagenomics and metabolomics analysis. Relative to the control (n = 97), the RS intervention (n = 99) resulted in a 9.08% absolute reduction of intrahepatic triglyceride content (IHTC), which was 5.89% after adjusting for weight loss. Serum branched-chain amino acids (BCAAs) and gut microbial species, in particular Bacteroides stercoris, significantly correlated with IHTC and liver enzymes and were reduced by RS. Multi-omics integrative analyses revealed the interplay among gut microbiota changes, BCAA availability, and hepatic steatosis, with causality supported by fecal microbiota transplantation and monocolonization in mice. Thus, RS dietary supplementation might be a strategy for managing NAFLD by altering gut microbiota composition and functionality.

Effects of SGLT2 inhibitors on hepatic fibrosis and steatosis: A systematic review and meta-analysis

OBJECTIVE

Clinical trials have shown that sodium-glucose cotransporter 2 inhibitors (SGLT2i) are closely associated with hepatic fibrosis and steatosis by FibroScan. This paper aimed at evaluating the effects of SGLT2i on hepatic fibrosis and steatosis, which are presented as liver stiffness measurement (LSM) and controlled attenuation parameter (CAP).

METHODS

PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure Database, China Science and Technology Journal Database, and Wanfang Database were searched for randomized clinical trials from database establishment to 30 November 2022 with no language restrictions. The risk of bias was evaluated by Collaboration Handbook. Software Stata 17 and Review Manager (version 5.3) were used for meta-analysis.

RESULTS

A total of eight articles including 686 patients were included. Compared with the control group, our results showed that SGLT2i could lower levels of LSM [MD = -0.82, 95%CI (-1.38, -0.25), p = 0.005] and CAP [MD = -12.80, 95%CI (-20.57, -5.03), p = 0.001]. Further subgroup analyses indicated that SGLT2i presented more advantages on longer treatment duration and more serious steatosis in decreasing LSM. For CAP, SGLT2i exhibited a clear advantage in subgroup analyses of longer treatment duration, younger people, dapagliflozin, worse fibrosis, and steatosis.

CONCLUSION

SGLT2i could reduce LSM and CAP in contrast to other antihyperglycemic drugs. However, the included studies are not definitive, and well-designed, more multi-centered, blinded randomized clinical trials are warranted to definitively establish reliable evidence.

To do one and to get more: Part II. Diabetes and metabolic dysfunction-associated fatty liver diseases

Type 2 diabetes mellitus (DM) is characterized by inability of faulty pancreatic β-cells to secret a normal amount of insulin to maintain normal body consumption, and/or peripheral tissue has a decreased susceptibility to insulin, resulting in hyperglycemia and insulin resistance. Similar to other chronic systemic inflammatory diseases, DM is a result from dysregulated interactions between ethnic, genetic, epigenetic, immunoregulatory, hormonal, and environmental factors. Therefore, it is rational to suppose the concept as "To do one and to get more", while using antidiabetic agents (ADA), a main pharmacologic agent for the treatment of DM, can provide an extraglycemia effect on comorbidities or concomittent comorbidities to DM. In this review, based on the much strong correlation between DM and metabolic dysfunction-associated fatty liver diseases (MAFLD) shown by similar pathophysiological mechanisms and a high prevalence of DM in MAFLD and its vice versa (a high prevalence of MAFLD in DM), it is possible to use the strategy to target both diseases simultaneously. We focus on a new classification of ADA, such as glucagon-like peptide-1 receptor (GLP1R) agonist and sodium-glucose cotransporter-2 (SGLT-2) inhibitors to show the potential benefits of extraglycemic effect on MAFLD. We conclude that the management of DM patients, especially for those who need ADA as adjuvant therapy should include healthy lifestyle modification to overcome the metabolic syndrome, contributing to the urgent need of an effective weight-reduction strategy. GLP1R agonist is one of effective body weight-lowering medications, which may be a better choice for DM complicated with MAFLD or its-associated severe form as metabolic associated steatohepatitis (MASH), although the role of SGLT-2 inhibitors is also impressive. The prescription of these two classes of ADA may satisfy the concept "To do one and to get more", based on successful sugar-lowering effect for controlling DM and extraglycemia benefits of hepatoprotective activity in DM patients.

The possibilities of transabdominal sonographic diagnosis of liver and intestinal lesions in comorbid gastroesophageal reflux disease

Introduction. The spread of gastroesophageal reflux disease (GERD), comorbid with non-alcoholic fatty liver disease, requires modification of methods for non-invasive diagnosis of liver steatosis and fibrosis and concomitant gastrointestinal syndromes.Aim. Substantiation of a modified complex outpatient transabdominal sonographic diagnosis of combined lesions of the liver and intestines in comorbid GERD.Materials and methods. 165 outpatients with GERD (mean age 40.4 ± 2.9 years) underwent clinical and laboratory examinations, ultrasound examination (UE) of the gastrointestinal tract (GIT), liver shear wave elastometry (SWE), esophagogastroduodenoscopy, colonoscopy (CS).Results and discussion. In patients with GERD, a pronounced transsyndromic comorbidity was observed. The degrees of steatosis and fibrosis of the liver according to SWE positively correlated with the biochemical indices APRI and FORNS. ST-index of liver steatosis was statistically significantly associated with the presence of esophagitis, bile sludge, gallbladder polyps and thickening of the colon wall according to ultrasound criteria, sigmoiditis according to CS. Steatosis on ultrasound was associated with male sex, increased waist circumference, lactase deficiency and deficiency of cholecalciferol in the blood, the presence of yeast-like fungi in feces. Liver fibrosis according to the FORNS index directly correlated with the volume of HE-reflux, duodenitis and intestinal damage according to the results of ultrasound, and according to the APRI index, it inversely correlated with the concentration of vitamin D3 in the blood. Fibrosis according to the ESP criteria directly correlated with the presence of hiatal hernia, bile sludge, and the volume of HE-refluxate according to ultrasound criteria; with lactase deficiency, as well as esophagitis and colitis on endoscopic signs.Conclusions. To identify steatosis and liver fibrosis, the SWE methodology can be considered priority, and serum panels of biomarkers – alternative. Ultrasound of the gastrointestinal tract and SWE allow you to identify the degree of steatosis and fibrosis of the liver, the pathology of the esophagus, colon and the biliary system.

Evaluation of Six Noninvasive Methods for the Detection of Fibrosis in Chinese Patients with Obesity and Nonalcoholic Fatty Liver Disease

PURPOSE

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the world, and liver fibrosis has been proven to be associated with liver disease related events and total mortality. Several noninvasive methods have been developed, but whether those methods are suitable for the detection of fibrosis in Chinese patients with obesity and NAFLD has not been completely elucidated. This study aimed to compare the efficacy of fibrosis-4 (FIB-4), aspartate transaminase to platelet ratio index (APRI), modified aspartate transaminase to platelet ratio index (m-APRI), BARD (BARD (BMI (body mass index) > 28 = 1 point, AAR (aspartate aminotransferase/alanine aminotransferase) > 0.8 = 2 points, DM (diabetes mellitus) = 1 point)), NAFLD fibrosis score (NFS), and shear wave elastography (SWE) in the evaluation of the degree of liver fibrosis in Chinese patients with obesity and NAFLD.

MATERIALS AND METHODS

A retrospective study consisted of 100 patients. The accuracy of FIB-4, APRI, m-APRI, BARD, NFS, and SWE in the assessment of significant or advanced liver fibrosis in Chinese patients with obesity and NAFLD was compared.

RESULTS

Weight and alanine aminotransferase (ALT) were independent risk factors for liver fibrosis. SWE, APRI, and m-APRI had significant efficiency in the diagnosis of significant fibrosis in patients with obesity and NAFLD. APRI and SWE were superior to the other methods in the diagnosis of significant and advanced liver fibrosis in patients with obesity and NAFLD. APRI and SWE showed no statistically significant difference in diagnostic efficiency.

CONCLUSIONS

Weight and ALT are independent risk factors for liver fibrosis progression in NAFLD patients. SWE and APRI have predictive value for significant and advanced fibrosis of NAFLD in Chinese patients with obesity.

Diagnostic scores and scales for appraising Nonalcoholic fatty liver disease and omics perspectives for precision medicine

PURPOSE OF REVIEW

Nonalcoholic fatty liver disease (NAFLD) is a rising epidemic burden affecting around 25% of the global population. Liver biopsy remains the reference for NAFLD. However, the application of several scales and clinical algorithms have been proposed to diagnose NAFLD using prediction questions and blood biomarkers. This review presents a summarized of the currently available and emerging diagnostic biomarkers and scores used to assess NAFLD.

RECENT FINDINGS

The limitations of liver biopsy have fostered the development of alternative noninvasive strategies, which have been an area of intensive investigation over the past years. Diagnostic scores for NAFLD have shown to be a good alternative for disease diagnosis and prognosis due to a suitable applicability, good inter-laboratory reproducibility and widespread potential availability with reasonable costs.

SUMMARY

The growing NAFLD pandemic urges clinicians to seek alternatives for screening, early diagnosis, and follow-up, especially for those with contraindications for liver biopsy. New promising noninvasive biomarkers and techniques have been developed, evaluated and assessed, including diagnostic biomarkers scores. Moreover, multiomics markers panels involving phenotype, genotype, microbiome and clinical characteristics from patients will facilitate the diagnosis, stratification and prognosis of NAFLD patients with precision medicine approaches.

Estimating global prevalence, incidence, and outcomes of non-alcoholic fatty liver disease from 2000 to 2021: systematic review and meta-analysis

BACKGROUND

The increasing burden of non-alcoholic fatty liver disease (NAFLD) worldwide imposes an emerging public health issue. We perform the current study to estimate the global prevalence, incidence, disease progression, and clinical outcomes of NAFLD.

METHODS

A systematic search was conducted in Medline, Embase, Web of Science, Google Scholar, and Cochrane CENTRAL that screened articles in English language published from January 2000 to December 2021. NAFLD prevalence, incidence, rate of disease progression, and outcomes were calculated with the DerSimonian-Laird random effects model with arcsine transformation.

RESULTS

Our search identified 59,156 records, of which 578 studies fulfilled our inclusion criteria. The overall prevalence of NAFLD was 29.38% (95% confidence interval [CI] 28.09-30.69) regardless of the diagnostic techniques. Looking at the group in which the diagnosis was made by ultrasound exclusively, the pooled prevalence was 30.49% (95% CI 29.55-31.43). NAFLD has become more prevalent during the year 2011-2021 (31.63%, 95% CI 30.23-33.04) compared with year 2000-2010 (27.94%, 95% CI 26.23-29.69). The pooled estimation of non-alcoholic steatohepatitis prevalence was 8.26% (95% CI 1.13-21.01), 46.49% (95% CI 35.93-57.20), and 46.72% (95% CI 37.57-55.98) in general population, NAFLD patients, and severe/morbidly obese patients, respectively. Based on a total of 110,142 newly developed NAFLD patients, the pooled incident rate was estimated as 46.24 cases per 1000 person-years (95% CI 43.21-49.30). In patients with NAFLD, the incident rate of hepatocellular carcinoma was 1.46 (95% CI 0.90-2.03) cases per 1000 person-years. The overall pooled estimate of NAFLD related mortality was 23.91 (95% CI 13.55-37.18) death per 1000 person-years.

CONCLUSIONS

The prevalence of NAFLD is increasing globally. It is contributing to poor clinical outcomes including hepatocellular carcinoma and death. Rising awareness and urgent actions are warranted to control the NAFLD pandemic across the globe.

REGISTRATION

PROSPERO, No. CRD42020171104.

The Coexistence of Nonalcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus

The incidence of nonalcoholic fatty liver disease (NAFLD) is growing worldwide. Epidemiological data suggest a strong relationship between NAFLD and T2DM. This is associated with common risk factors and pathogenesis, where obesity, insulin resistance and dyslipidemia play pivotal roles. Expanding knowledge on the coexistence of NAFLD and T2DM could not only protect against liver damage and glucotoxicity, but may also theoretically prevent the subsequent occurrence of other diseases, such as cancer and cardiovascular disorders, as well as influence morbidity and mortality rates. In everyday clinical practice, underestimation of this problem is still observed. NAFLD is not looked for in T2DM patients; on the contrary, diagnosis for glucose metabolism disturbances is usually not performed in patients with NAFLD. However, simple and cost-effective methods of detection of fatty liver in T2DM patients are still needed, especially in outpatient settings. The treatment of NAFLD, especially where it coexists with T2DM, consists mainly of lifestyle modification. It is also suggested that some drugs, including hypoglycemic agents, may be used to treat NAFLD. Therefore, the aim of this review is to detail current knowledge of NAFLD and T2DM comorbidity, its prevalence, common pathogenesis, diagnostic procedures, complications and treatment, with special attention to outpatient clinics.