Validation of the new nomenclature of steatotic liver disease in patients with a history of excessive alcohol intake: an analysis of data from a prospective cohort study.

BACKGROUND: Steatotic liver disease is a new overarching term that includes metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-related steatotic liver disease (MetALD), and alcohol-related liver disease (ALD). We aimed to validate the prognostic importance of MASLD, MetALD, and ALD as steatotic liver disease subclasses. METHODS: Between April 18, 2013, and Sept 17, 2018, we prospectively recruited patients aged 18-75 years with current or previous excessive alcohol intake (>24 g/day for women and >36 g/day for men) for at least a year and no previous hepatic decompensation from the Department of Gastroenterology and Hepatology at Odense University Hospital (Odense, Denmark). Participants were followed up until Sept 15, 2022. Here, we characterise these patients according to steatotic liver disease subclasses. We classified patients as having MASLD, MetALD, or ALD in accordance with the nomenclature definitions, on the basis of metabolic comorbidity and self-reported average alcohol intake in the 3 months leading up to inclusion. Histological scoring was done by a pathologist who was masked to the clinical data. We compared prognoses between classes using Cox regression analyses on hepatic decompensation and overall mortality as the two outcome measures. Patients not meeting the criteria for steatotic liver disease were classified as no steatotic liver disease and served as a reference group. FINDINGS: We enrolled 446 patients with a history of excessive alcohol intake were included in this analysis (334 [75%] were male and 112 [25%] were female; median age 56 years [SD 10]). Cirrhosis was present in 58 (13%), and 435 (98%) had at least one cardiometabolic risk factor. 321 (72%) met steatotic liver disease criteria and 125 (28%) did not have steatotic liver disease, meaning no evident liver steatosis and no significant fibrosis (≥F2). Of the 321 patients with steatotic liver disease, six (2%) were identified as having ALD due to the absence of cardiometabolic risk factors. The remaining 315 (98%) patients presented with at least one cardiometabolic risk factor. Of these patients, 153 (49%) had MASLD, 76 (24%) had MetALD, and 86 (27%) had ALD. During follow-up, 67 (15%) of 446 patients decompensated and 97 (22%) died (median follow-up 70 months [IQR 53-94]). Patients with steatotic liver disease had a significantly higher risk of hepatic decompensation and overall mortality than those without steatotic liver disease, independent of age, sex, and liver stiffness. The risk of decompensation increased in a stepwise manner from MASLD (hazard ratio 4·73 [95% CI 1·03-21·6]), through MetALD (7·69 [1·66-35·6]), to ALD (10·2 [2·24-46·4]). Similarly, overall mortality increased from MASLD (HR 2·30 [95% CI 1·08-4·90]), through MetALD (2·94 [1·31-6·58]), to ALD (3·57 [1·64-7·80]), independent of age, sex, and liver stiffness. INTERPRETATION: Steatotic liver disease and its subclasses portend distinct prognoses. There is a need to specify how historical alcohol intake should be integrated into the nomenclature and risk stratification of steatotic liver disease. FUNDING: EU Horizon 2020 Research and Innovation Program.

Single cell-resolved study of advanced murine MASH reveals a homeostatic pericyte signaling module.

BACKGROUND & AIMS: Metabolic dysfunction-associated steatohepatitis (MASH) is linked to insulin resistance and type 2 diabetes and marked by hepatic inflammation, microvascular dysfunction, and fibrosis, impairing liver function and aggravating metabolic derangements. The liver homeostatic interactions disrupted in MASH are still poorly understood. We aimed to elucidate the plasticity and changing interactions of non-parenchymal cells associated with advanced MASH. METHODS: We characterized a diet-induced mouse model of advanced MASH at single-cell resolution and validated findings by assaying chromatin accessibility, bioimaging murine and human livers, and via functional experiments in vivo and in vitro. RESULTS: The fibrogenic activation of hepatic stellate cells (HSCs) led to deterioration of a signaling module consisting of the bile acid receptor NR1H4/FXR and HSC-specific GS-protein-coupled receptors (GSPCRs) capable of preserving stellate cell quiescence. Accompanying HSC activation, we further observed the attenuation of HSC Gdf2 expression, and a MASH-associated expansion of a CD207-positive macrophage population likely derived from both incoming monocytes and Kupffer cells. CONCLUSION: We conclude that HSC-expressed NR1H4 and GSPCRs of the healthy liver integrate postprandial cues, which sustain HSC quiescence and, through paracrine signals, overall sinusoidal health. Hence HSC activation in MASH not only drives fibrogenesis but may desensitize the hepatic sinusoid to liver homeostatic signals. IMPACT AND IMPLICATIONS: Homeostatic interactions between hepatic cell types and their deterioration in metabolic dysfunction-associated steatohepatitis are poorly characterized. In our current single cell-resolved study of advanced murine metabolic dysfunction-associated steatohepatitis, we identified a quiescence-associated hepatic stellate cell-signaling module with potential to preserve normal sinusoid function. As expression levels of its constituents are conserved in the human liver, stimulation of the identified signaling module is a promising therapeutic strategy to restore sinusoid function in chronic liver disease.

Steatotic liver disease is the most important somatic determinant of quality of life in patients with obesity: A cross-sectional study.

BACKGROUND AND AIMS: Patients with metabolic dysfunction-associated steatotic liver disease (MASLD) are often comorbid and stigmatized. This can negatively affect quality of life (QOL). Other studies have primarily used the Chronic Liver Disease Questionnaire (CLDQ), which focuses on liver-related symptoms, to characterize QOL, but most MASLD patients have only mild liver disease, and CLDQ might overlook QOL issues pertaining to them. We aimed to determine the impact of metabolic dysfunction-associated steatohepatitis (MASH) on QOL in obese patients using a 136-item generic QOL questionnaire. METHODS: We included participants with BMI ≥ 35 kg/m2 who all fully answered the sickness impact profile (SIP, range 0-100, normal = 3.4, 100 = worst) and had a liver biopsy to diagnose MASLD. Sociodemographics, comorbidity and biometric data were obtained from all participants. RESULTS: Of 176 (mean age 45.9 years, 70% female, 12.6 years of education), 132 had no-MASH and 44 MASH. On stepwise multivariable regression analysis, divorce (p = .011), unemployment (p < .003) and hepatic steatosis (p = .01) were associated with poor overall QOL. No other somatic comorbidity was associated. MASH patients more frequently than no-MASH reported physical discomfort (48% vs. 30%, p = .04), inability to do daily activities (29% vs. 54%, p = .006) and attention problems (32% vs. 57%, p = .003). CONCLUSION: MASLD severity was the only somatic determinant of QOL in patients with obesity in this cohort, and a large fraction reported debilitating symptoms. Patients and caregivers should consider the limitations this poses when planning interventions.

The prevalence and risk factors for cognitive impairment in obesity and NAFLD.

BACKGROUND: Severe obesity may be accompanied by cognitive dysfunction and NAFLD, but the associations remain unclear. We describe the prevalence and features of cognitive dysfunction and examine the associations between cognitive dysfunction and the presence and severity of NAFLD, and the associations between cognitive dysfunction and signs of other obesity-related comorbidities and neuronal damage. METHODS: A cross-sectional study of patients with a body mass index of 35 kg/m2 underwent evaluation for bariatric surgery. They were screened for adiposity-related comorbidity and underwent a liver biopsy and basic cognitive testing with the Continuous Reaction Time test, the Portosystemic Encephalopathy Syndrome test, and the Stroop Test. A representative subgroup also underwent the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The primary study outcome was "cognitive impairment," defined as ≥2 abnormal basic cognitive tests and/or an abnormal RBANS. The Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) served as a biomarker for neuronal damage. RESULTS: We included 180 patients; 72% were women, age 46 ± 12 years, 78% had NAFLD, and 30% with NASH without cirrhosis. 8% were cognitively impaired by the basic tests and 41% by RBANS results. Most impaired were executive and short-time memory functions. There were no associations between cognitive impairment and BMI, NAFLD presence or severity, or metabolic comorbidities. Male sex (OR: 3.67, 95% CI, 1.32-10.27) and using 2 or more psychoactive medications (5.24, 95% CI, 1.34-20.4) were associated with impairment. TREM2 was not associated with cognitive impairment. CONCLUSIONS: Nearly half of this severely obese study cohort exhibited measurable multidomain cognitive impairment. This was not dependent on NAFLD or another adiposity comorbidity.

Are Nonalcoholic Fatty Liver Disease and Bone Mineral Density Associated? - A Cross-Sectional Study Using Liver Biopsy and Dual-Energy X-Ray Absorptiometry.

There is controversy regarding the association between nonalcoholic fatty liver disease (NAFLD) and osteoporosis. Our study aim was to assess bone mineral density (BMD) in patients with biopsy-proven NAFLD and examine if the severity of NAFLD affects BMD. A total of 147 adult women (n = 108) and men (n = 39) aged 18-76 years (mean ± standard deviation [SD] age 45.3 ± 12.5) were recruited in this cross-sectional study and underwent a liver biopsy and dual-energy X-ray absorptiometry (DXA). NAFLD activity score (NAS) based on the degree of steatosis, lobular inflammation and hepatocellular ballooning was used to assess NAFLD severity. The majority of subjects, 53%, had steatosis, 25% had nonalcoholic steatohepatitis (NASH) whereas 23% served as control subjects with no evidence of NAFLD. There were no significant differences in the lumbar spine (1.09 ± 0.12, 1.11 ± 0.18, and 1.12 ± 0.15 g/cm2, p = 0.69, in controls, steatosis, and NASH, respectively) or hip BMD (1.10 ± 0.15, 1.12 ± 0.13, and 1.09 ± 0.13 g/cm2, p = 0.48, in controls, steatosis, and NASH, respectively) between the groups. Adjusting for age, gender, body mass index, and diabetes in multiple regression models did not alter the results. There was no correlation between NAS and neither lumbar spine BMD (r = 0.06, p = 0.471), nor hip BMD (r = -0.03, p = 0.716). In conclusion, BMD was similar across the spectrum of NAFLD in both genders and not related to the severity of the underlying histological lesions, suggesting that neither steatosis nor NASH exerts a detrimental effect on BMD in these relatively young patients. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Stellate cell expression of SPARC-related modular calcium-binding protein 2 is associated with human non-alcoholic fatty liver disease severity.

Background & Aims: Histological assessment of liver biopsies is the gold standard for diagnosis of non-alcoholic steatohepatitis (NASH), the progressive form of non-alcoholic fatty liver disease (NAFLD), despite its well-established limitations. Therefore, non-invasive biomarkers that can offer an integrated view of the liver are needed to improve diagnosis and reduce sampling bias. Hepatic stellate cells (HSCs) are central in the development of hepatic fibrosis, a hallmark of NASH. Secreted HSC-specific proteins may, therefore, reflect disease state in the NASH liver and serve as non-invasive diagnostic biomarkers. Methods: We performed RNA-sequencing on liver biopsies from a histologically characterised cohort of obese patients (n = 30, BMI >35 kg/m2) to identify and evaluate HSC-specific genes encoding secreted proteins. Bioinformatics was used to identify potential biomarkers and their expression at single-cell resolution. We validated our findings using single-molecule fluorescence in situ hybridisation (smFISH) and ELISA to detect mRNA in liver tissue and protein levels in plasma, respectively. Results: Hepatic expression of SPARC-related modular calcium-binding protein 2 (SMOC2) was increased in NASH compared to no-NAFLD (p.adj <0.001). Single-cell RNA-sequencing data indicated that SMOC2 was primarily expressed by HSCs, which was validated using smFISH. Finally, plasma SMOC2 was elevated in NASH compared to no-NAFLD (p <0.001), with a predictive accuracy of AUROC 0.88. Conclusions: Increased SMOC2 in plasma appears to reflect HSC activation, a key cellular event associated with NASH progression, and may serve as a non-invasive biomarker of NASH. Impact and implications: Non-alcoholic fatty liver disease (NAFLD) and its progressive form, non-alcoholic steatohepatitis (NASH), are the most common forms of chronic liver diseases. Currently, liver biopsies are the gold standard for diagnosing NAFLD. Blood-based biomarkers to complement liver biopsies for diagnosis of NAFLD are required. We found that activated hepatic stellate cells, a cell type central to NAFLD pathogenesis, upregulate expression of the secreted protein SPARC-related modular calcium-binding protein 2 (SMOC2). SMOC2 was elevated in blood samples from patients with NASH and may hold promise as a blood-based biomarker for the diagnosis of NAFLD.

Circulating TREM2 as a noninvasive diagnostic biomarker for NASH in patients with elevated liver stiffness.

BACKGROUND AND AIMS: Reliable noninvasive biomarkers are an unmet clinical need for the diagnosis of NASH. This study investigates the diagnostic accuracy of the circulating triggering receptor expressed on myeloid cells 2 (plasma TREM2) as a biomarker for NASH in patients with NAFLD and elevated liver stiffness. APPROACH AND RESULTS: We collected cross-sectional, clinical data including liver biopsies from a derivation ( n = 48) and a validation cohort ( n = 170) of patients with elevated liver stiffness measurement (LSM ≥ 8.0 kPa). Patients with NAFLD activity scores (NAS) ≥4 were defined as having NASH. Plasma TREM2 levels were significantly elevated in patients with NASH of the derivation cohort, with an area under the receiver operating characteristics curve (AUROC) of 0.92 (95% confidence interval [CI], 0.84-0.99). In the validation cohort, plasma TREM2 level increased approximately two-fold in patients with NASH, and a strong diagnostic accuracy was confirmed (AUROC, 0.83; 95% CI, 0.77-0.89; p < 0.0001). Plasma TREM2 levels were associated with the individual histologic features of NAS: steatosis, lobular inflammation, and ballooning ( p < 0.0001), but only weakly with fibrosis stages. Dual cutoffs for rule-in and rule-out were explored: a plasma TREM2 level of ≤38 ng/ml was found to be an optimal NASH rule-out cutoff (sensitivity 90%; specificity 52%), whereas a plasma TREM2 level of ≥65 ng/ml was an optimal NASH rule-in cutoff (specificity 89%; sensitivity 54%). CONCLUSIONS: Plasma TREM2 is a plausible individual biomarker that can rule-in or rule-out the presence of NASH with high accuracy and thus has the potential to reduce the need for liver biopsies and to identify patients who are eligible for clinical trials in NASH.

Only one-third of referrals for fatty liver disease are on time: real-world study reveals opportunities to avoid unnecessary and delayed referrals.

BACKGROUND AND AIMS: Fatty liver disease is a global health concern, but in the absence of specific guidelines, current referral patterns differ according to the preferences of the general practitioners. Outpatient Gastroenterology clinics spend futile resources on liver-healthy patients while diagnosing decompensated patients delayed. We aimed to describe referral patterns to a regional outpatient Gastroenterology clinic. METHODS: We reviewed 9684 referrals from primary care for suspected liver disease in the years 2016-2017, during two years. Data were extracted from the patients' hospital records to assess the clinical workup and patient outcomes until a mean of 43 months after the time of referral. Referrals were categorized as unnecessary (no signs of liver disease), timely (significant fibrosis/compensated cirrhosis), or delayed (decompensated cirrhosis). RESULTS: We included 375 patient referrals from primary care. The main reason for referral was elevated transaminases. More than half (54%) of patients had no signs of liver disease, being unnecessarily referred for evaluation, while 17% had decompensated liver disease and were thus referred too late. CONCLUSIONS: Only one-third of patients referred on suspicion of liver disease were referred on time, either before presenting with decompensated liver cirrhosis or with some evidence of significant liver disease, e.g., liver fibrosis. There is a huge unmet need for clinical referral pathways in primary care. Strengths and Limitations of this StudyA strength of this study is the complete mapping of all potential referrals to the outpatient clinic in the two-year period. Instead of retrieving the historic data by ICD-10 diagnosis codes, and reflecting only those patients where the GP clearly suspects liver disease, we have a strong reliance on our methods. We screened all potentially relevant referrals, e.g., referrals due to weight loss or fatigue, which may reflect symptoms of cirrhosis. Thereby we are confident that we have not missed any patients that originally were referred with unspecific symptoms, but after evaluation are diagnosed with liver disease.Another strength of our study is the long follow-up period, which allows us to fully evaluate the course for the individual patient, and the potential later coming diagnoses.Finally, it is a strength of the study that we were not exclusive to one liver disease etiology, both ALD and NAFLD etiology were included in the study.A limitation of this study is the use of historic data, and the fact that it is a single-center study, showing only the referral patterns in one outpatient Gastroenterology clinic.

The Role of Diagnostic Biomarkers, Omics Strategies, and Single-Cell Sequencing for Nonalcoholic Fatty Liver Disease in Severely Obese Patients.

Liver disease due to metabolic dysfunction constitute a worldwide growing health issue. Severe obesity is a particularly strong risk factor for non-alcoholic fatty liver disease, which affects up to 93% of these patients. Current diagnostic markers focus on the detection of advanced fibrosis as the major predictor of liver-related morbidity and mortality. The most accurate diagnostic tools use elastography to measure liver stiffness, with diagnostic accuracies similar in normal-weight and severely obese patients. The effectiveness of elastography tools are however hampered by limitations to equipment and measurement quality in patients with very large abdominal circumference and subcutaneous fat. Blood-based biomarkers are therefore attractive, but those available to date have only moderate diagnostic accuracy. Ongoing technological advances in omics technologies such as genomics, transcriptomics, and proteomics hold great promise for discovery of biomarkers and increased pathophysiological understanding of non-alcoholic liver disease and steatohepatitis. Very recent developments have allowed for single-cell sequencing and cell-type resolution of gene expression and function. In the near future, we will therefore likely see a multitude of breakthrough biomarkers, developed from a deepened understanding of the biological function of individual cell types in the healthy and injured liver.

Cognitive Dysfunction in Non-Alcoholic Fatty Liver Disease-Current Knowledge, Mechanisms and Perspectives.

Non-alcoholic fatty liver disease (NAFLD) has emerged as the hepatic component of the metabolic syndrome and now seemingly affects one-fourth of the world population. Features associated with NAFLD and the metabolic syndrome have frequently been linked to cognitive dysfunction, i.e. systemic inflammation, vascular dysfunction, and sleep apnoea. However, emerging evidence suggests that NAFLD may be a cause of cognitive dysfunction independent of these factors. NAFLD in addition exhibits dysbiosis of the gut microbiota and impaired urea cycle function, favouring systemic ammonia accumulation and further promotes systemic inflammation. Such disruption of the gut-liver-brain axis is essential in the pathogenesis of hepatic encephalopathy, the neuropsychiatric syndrome associated with progressive liver disease. Considering the growing burden of NAFLD, the morbidity from cognitive impairment is expected to have huge societal and economic impact. The present paper provides a review of the available evidence for cognitive dysfunction in NAFLD and outlines its possible mechanisms. Moreover, the clinical challenges of characterizing and diagnosing cognitive dysfunction in NAFLD are discussed.

Validation of a Simple Quality-of-Life Score for Identification of Minimal and Prediction of Overt Hepatic Encephalopathy.

Minimal hepatic encephalopathy (MHE) is underdiagnosed because most clinics refrain from psychometric testing. Diagnostic activities need to go up so patients with MHE can get the treatment their condition requires. The sickness impact profile questionnaire for covert hepatic encephalopathy (SIPCHE) score is based on quality-of-life outcomes and has been proposed as a simple, patient-administered diagnostic score for grade 1 and MHE. Validate the SIPCHE for MHE identification and overt hepatic encephalopathy (OHE) prediction. 110 patients with liver cirrhosis (age 60 years, Model for End-Stage Liver Disease score of 11.4, 80% blue-collar) provided information for SIPCHE scoring: gender, age, and four SIP statements: "I do not maintain balance (physically)," "I act irritable or impatient with myself," "I am not doing any of the usual physical recreation or activities," and "I am eating much less than usual." MHE was diagnosed using an abnormal continuous reaction time test and/or portosystemic encephalopathy syndrome test score. Patients were followed for 2.7 years on average. SIPCHE score positivity had high sensitivity (82%) but low specificity (38%) for MHE detection. Patients with an abnormal SIPCHE had a higher incidence of OHE during follow-up (35% vs. 14%, P = 0.05). OHE prediction sensitivity was 87% and exclusion sensitivity was 85%. The patients with an abnormal SIPCHE had twice as many subsequent episodes of OHE, and despite their high mortality, also a higher risk. An abnormal SIPCHE had a high sensitivity and low specificity for MHE identification. An abnormal SIPCHE was associated with a more than doubled risk of OHE, even with death as a competing event. SIPCHE could be used as a high-sensitivity, low-cost, surrogate marker of MHE in clinics without availability of psychometric tests and allow more patients to benefit from anti-MHE treatment.

Prediction of overt hepatic encephalopathy by the continuous reaction time method and the portosystemic encephalopathy syndrome test in clinically mentally unimpaired patients with cirrhosis.

BACKGROUND AND AIM: Predicting overt hepatic encephalopathy (OHE) is important because the condition is frequent, often requires hospitalization and is potentially preventable. The risk of OHE is related to pre-existing discrete cognitive defects, and for clinical practice it is recommended to apply two different psychometric tests to detect such deficits. We used the continuous reaction time test (CRT) and the portosystemic encephalopathy (PSE) syndrome test and examined their single and combined value for OHE prediction in cirrhosis patients. PATIENTS AND METHODS: We studied 130 clinically mentally unimpaired cirrhosis patients by the two tests and followed them for an average of 38.5 months. The CRT measures velocity and stability of motor reaction times to 150 repeated auditory signals. The PSE is a five sub-set paper-and-pencil test battery evaluating cognitive and psychomotor processing, speed and vision-motor coordination. We collected data on episodes of OHE during follow-up. The clinical course was analysed in patient groups according to the outcome of each test and of both tests together. No anti-HE treatment was initiated except for cases with OHE. RESULTS: At baseline, the CRT test was abnormal in 74 patients and the PSE in 47. During follow-up 35 patients (27%) experienced 74 OHE events. 23 patients with abnormal CRT experienced OHE (prediction sensitivity 65%). The PSE predicted OHE in 14 patients (prediction sensitivity 40%). One or both tests were abnormal in 87/130 (67%) and this predicted OHE in 27 patients (21%) (prediction sensitivity 77%). CONCLUSION: The CRT test was clinically useful in identifying two-thirds of clinically mentally unimpaired cirrhosis patients who later experienced OHE, and the use of both the CRT and PSE showed satisfactory prediction by identifying three-fourths of later OHE cases.