OBJECTIVE: To assess the reproducibility of six ultrasound (US)-determined shear wave (SW) viscoelastography parameters for assessment of mechanical properties of the liver in volunteers and patients with biopsy-proven metabolic dysfunction-associated steatotic liver disease (MASLD) or metabolic dysfunction-associated steatohepatitis (MASH).
METHODS: This prospective, cross-sectional, institutional review board-approved study included 10 volunteers and 20 patients with MASLD or MASH who underwent liver US elastography twice, at least 2 weeks apart. SW speed (SWS), Young\'s modulus (E), shear modulus (G), SW attenuation (SWA), SW dispersion (SWD), and viscosity were computed from radiofrequency data recorded on a research US scanner. Linear mixed models were used to consider the sonographer on duty as a confounder. The reproducibility of measurements was assessed by intraclass correlation coefficient (ICC), coefficient of variation (CV), reproducibility coefficient (RDC), and Bland-Altman analyses.
RESULTS: The sonographer performing the exam had no impact on viscoelastic parameters (P > .05). ICCs of SWS, E, G, SWA, SWD, and viscosity were, respectively, 0.89 (95% confidence intervals [CI]: 0.79-0.95), 0.81 (95% CI: 0.79-0.95), 0.90 (95% CI: 0.80-0.95), 0.96 (95% CI: 0.93-0.98), 0.78 (95% CI: 0.60-0.89), and 0.90 (95% CI: 0.80-0.95); CVs were 11.9, 23.3, 24.2, 10.1, 29.0, and 32.2%; RDCs were 33.0, 64.5, 66.9, 27.7, 80.3, and 89.2%, and Bland-Altman mean biases and 95% limits of agreement were -0.05 (-0.45, 0.35) m/s, -0.61 (-5.33, 4.10) kPa, -0.25 (-2.06, 1.56) kPa, -0.01 (-0.27, 0.26) Np/m/Hz, -0.09 (-7.09, 6.91) m/s/kHz, and -0.33 (-2.60, 1.94) Pa/s, between the two visits.
CONCLUSIONS: US-determined viscoelastography parameters can be measured with high reproducibility and consistency between two visits 2 weeks apart on the same ultrasound machine.

OBJECTIVE: The new nomenclature of steatotic liver disease (SLD) including metabolic dysfunction-associated SLD (MASLD), MASLD and increased alcohol intake (MetALD), and alcohol-associated liver disease (ALD) has recently been proposed. We aimed to elucidate the relationship between each category of SLD and chronic kidney disease (CKD).
METHODS: We investigated the effects of various SLDs on the development of CKD, defined as estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 or positive for urinary protein, during a 10-year period in 12 138 Japanese subjects (men / women, 7984/4154; mean age, 48 years) who received annual health examinations including abdominal ultrasonography.
RESULTS: The prevalences of SLD without metabolic dysfunction (SLD-MD[-]), MASLD, MetALD, and ALD were 1.7%, 26.3%, 4.9%, and 1.9%, respectively. During the follow-up period, 1963 subjects (16.2%) (men / women, 1374 [17.2%]/589 [14.2%]) had new onset of CKD. Multivariable Cox proportional hazard model analyses after adjustment of age, sex, eGFR, current smoking habit, diabetes mellitus, hypertension, and dyslipidemia showed that the hazard ratios (HR [95% confidence interval]) for the development of CKD in subjects with MASLD (1.20 [1.08-1.33], p = 0.001) and those with ALD (1.41 [1.05-1.88], p = 0.022), but not those with MetALD (1.11 [0.90-1.36], p = 0.332), were significantly higher than the HR in subjects with non-SLD. Interestingly, subjects with SLD-MD[-] had a significantly lower HR (0.61 [0.39-0.96], p = 0.034) than that in subjects with non-SLD. The addition of the novel classification of SLDs into traditional risk factors for the development of CKD significantly improved the discriminatory capacity.
CONCLUSIONS: MASLD and ALD, but not SLD-MD[-], are independently associated with the development of CKD.

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is one of the most prevalent chronic liver diseases worldwide. Thermal imaging combined with advanced image-processing and machine learning analysis accurately classified disease status in a study on mice; this study aimed to develop this tool for humans. This prospective study included 46 patients who underwent liver biopsy. Liver thermal imaging was performed on the same day as liver biopsy. We developed an image-processing algorithm that measured the relative spatial thermal variation across the skin covering the liver. The texture parameters obtained from the thermal images were input into the machine learning algorithm. Patients were diagnosed with MASLD and stratified according to nonalcoholic fatty liver disease activity score (NAS) and fibrosis stage using the METAVIR score. Twenty-one of 46 patients were diagnosed with MASLD. Using thermal imaging followed by processing, detection accuracy for patients with NAS >4 was 0.72.

OBJECTIVE: To investigate the relationship between continuous glucose monitoring (CGM)-derived glucometrics and metabolic dysfunction-associated steatotic liver disease (MASLD) in type 1 diabetes (T1D).
METHODS: A cross-sectional study collecting data on anthropometrics, glucometrics and MASLD in adults with T1D using a CGM device was conducted. MASLD was assessed by abdominal ultrasound and the presence of at least one cardiometabolic criterion. Backward multivariable logistic regression models were applied to define variables independently associated with MASLD.
RESULTS: A total of 302 consecutive participants were included (median age 49 [34-61] years, male sex 58%, median diabetes duration 29 [17-38] years, mean time in range [TIR] 55% ± 16%). MASLD was present in 17% of cases, and 32% had metabolic syndrome (MetS). MetS was significantly more prevalent in the MASLD group (65% vs. 25%, P < .0001). TIR (P = .038) and time below range (TBR) (P = .032) were lower and time above range (TAR) was higher (P = .006), whereas HbA1c did not reach significance (P = .068). No differences were found for the glycaemia risk index. TIR (P = .028), TAR (P = .007), TBR (P = .036), waist circumference (P < .001) and systolic blood pressure (P = .029) were independently associated with MASLD, while sex, age, aspartate aminotransferase/alanine aminotransferase ratio, gamma-glutamyl transferase, high-density lipoprotein cholesterol and triglycerides were not.
CONCLUSIONS: TIR, TAR, TBR, waist circumference and systolic blood pressure were independently associated with MASLD.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease. Its prevalence is increasing with the epidemic of obesity and metabolic syndrome. MASLD progression into metabolic dysfunction-associated steatohepatitis (MASH) and advanced fibrosis may lead to decompensated cirrhosis and development of liver-related events, hepatocellular carcinoma and death. Monitoring disease progression is critical in decreasing morbidity, mortality, need for transplant and economic burden. Assessing for treatment response once FDA-approved medications are available is still an unmet clinical need.
To explore the most up-to-date literature on testing used for monitoring disease progression and treatment response METHODS: We searched PubMed from inception to 15 August 2023, using the following MeSH terms: \'MASLD\', \'Metabolic dysfunction-associated steatotic liver disease\', \'MASH\', \'metabolic dysfunction-associated steatohepatitis\', \'Non-Alcoholic Fatty Liver Disease\', \'NAFLD\', \'non-alcoholic steatohepatitis\', \'NASH\', \'Biomarkers\', \'clinical trial\'. Articles were also identified through searches of the authors\' files. The final reference list was generated based on originality and relevance to this review\'s broad scope, considering only papers published in English.
We have cited 101 references in this review detailing methods to monitor MASLD disease progression and treatment response.
Various biomarkers can be used in different care settings to monitor disease progression. Further research is needed to validate noninvasive tests more effectively.

A 16-year-old trans female patient presented to our Gender Health Program for gender-affirming care. Her intake evaluation revealed signs of hepatocellular injury and fibrosis concerning for metabolic dysfunction-associated steatohepatitis (MASH) and she was referred to a Pediatric Hepatologist. Subsequent delays in initiating hormone therapy caused a decline in her mental health, and she began experiencing suicidal ideations. Gender-affirming hormone therapy has been shown to significantly reduce depressive symptoms and suicidal ideations in transgender and gender diverse youth, and studies in animal models suggest improvement in hepatic steatosis in response to estrogen. A multidisciplinary meeting with Gender Health, Psychiatry, and Hepatology appropriately weighed the benefits of life-saving hormone therapy and the possibility of an improvement in her comorbid liver condition with the risk of further liver damage from estrogen therapy. The teams and the patient agreed to start estradiol with subsequent resolution of laboratory and radiographic evidence of MASH.

OBJECTIVE: New nomenclature of steatotic liver disease (SLD) including metabolic dysfunction-associated SLD (MASLD), MASLD and increased alcohol intake (MetALD), and alcohol-associated liver disease (ALD) has recently been proposed. We investigated clustering analyses to decipher the complex landscape of SLD pathologies including the former nomenclature of nonalcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD).
METHODS: Japanese individuals who received annual health checkups including abdominal ultrasonography (n = 15 788, men/women: 10 250/5538, mean age: 49 years) were recruited.
RESULTS: The numbers of individuals with SLD, MASLD, MetALD, ALD, NAFLD, and MAFLD were 5603 (35.5%), 4227 (26.8%), 795 (5.0%), 324 (2.1%), 3982 (25.8%), and 4946 (31.3%), respectively. Clustering analyses using t-distributed stochastic neighbor embedding and K-means to visually represent interconnections in SLDs uncovered five cluster formations. MASLD and NAFLD mainly shared three clusters including (i) low alcohol intake with relatively low-grade obesity; (ii) obesity with dyslipidemia; and (iii) dysfunction of glucose metabolism. Both MetALD and ALD displayed one distinct cluster intertwined with alcohol consumption. MAFLD widely shared all of the five clusters. In machine learning-based analyses using algorithms of random forest and extreme gradient boosting and receiver operating characteristic curve analyses, fatty liver index (FLI), calculated by body mass index, waist circumference, and levels of γ-glutamyl transferase and triglycerides, was selected as a useful feature for SLDs.
CONCLUSIONS: The new nomenclature of SLDs is useful for obtaining a better understanding of liver pathologies and for providing valuable insights into predictive factors and the dynamic interplay of diseases. FLI may be a noninvasive predictive marker for detection of SLDs.

OBJECTIVE: Optimizing glycemic control may prevent liver-related events and major adverse cardiovascular events (MACE) in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). However, the optimal hemoglobin A1c (HbA1c) threshold associated with a lower risk of complications, particularly liver-related events as well as MACE is unknown.
METHODS: We investigated a nationwide population-based cohort and identified 633 279 patients with MASLD, with a mean follow-up of 4.2 years. Hemoglobin A1c levels were measured annually. The primary endpoint was the risk of liver-related events and MACE and to determine the optimal HbA1c level associated with the risk of complications.
RESULTS: Mean HbA1c (per 1%) was associated with liver-related events (subdistribution hazard ratio [sHR] 1.26; 95% confidence interval [CI], 1.12-1.42) as well as MACE (sHR 1.36; 95% CI, 1.32-1.41) after adjustment for confounders. Multivariable sHR (95% CI) for HbA1c of <5.0%, 6.0%-6.9%, 7.0%-7.9%, 8.0%-8.9%, and ≥9.0% (reference, 5.0%-5.9%) were 14 (9.1-22), 1.70 (1.2-2.3), 3.32 (2.3-4.8), 3.81 (2.1-6.8), and 4.83 (2.4-9.6) for liver-related events, and 1.24 (0.8-1.8), 1.27 (1.2-1.4), 1.70 (1.5-2.0), 2.36 (1.9-2.9), and 4.17 (3.5-5.0) for MACE. An HbA1c level of 7% was selected as the optimal threshold for predicting complications (sHR 2.40 [1.8-3.2] for liver-related events and 1.98 [1.8-2.2] for MACE).
CONCLUSIONS: The risk of liver-related events as well as MACE increased in a dose-dependent fashion with an increase in HbA1c levels, except for patients with HbA1c <5.0% for liver-related events. An HbA1c level of 7% was the optimal threshold associated with a lower risk of complications and may be utilized as a target for glycemic control in patients with MASLD.

OBJECTIVE: A multisociety consensus group proposed a new nomenclature for metabolic dysfunction-associated steatotic liver disease (MASLD). Although patients with nonalcoholic fatty liver disease (NAFLD) are expected to be reclassified as patients with MASLD under the new nomenclature, the concordance between MASLD and NAFLD remains unclear. Moreover, waist circumference could be adjusted by ethnicity for diagnosing MASLD; however, there are limited data on the optimal waist circumference in the Japanese population.
METHODS: This cross-sectional study was conducted on 3709 Japanese patients with NAFLD. The primary endpoint was the prevalence of MASLD in patients with NAFLD. The difference between the original waist circumference criteria (>94 cm for men and >80 cm for women) and the Japanese metabolic syndrome criteria (≥85 cm for men and ≥90 cm for women) for concordance between NAFLD and MASLD was also investigated.
RESULTS: According to the original criteria, the prevalence of MASLD in patients with NAFLD was 96.7%. Similarly, according to the Japanese waist circumference criteria, 96.2% of patients with NAFLD could be reclassified as those with MASLD. The concordance rate was significantly higher in the original criteria than in the Japanese criteria (p = 0.02).
CONCLUSIONS: NAFLD could be considered MASLD using the original MASLD criteria in the Japanese population, and insights from NAFLD research could be applied to MASLD.

Type 2 diabetes mellitus (T2DM), obesity, and metabolic dysfunction-associated steatotic liver disease (MASLD) are epidemiologically correlated disorders with a worldwide growing prevalence. While the mechanisms leading to the onset and development of these conditions are not fully understood, predictive tissue representations for studying the coordinated interactions between central organs that regulate energy metabolism, particularly the liver and pancreatic islets, are needed. Here, a dual pump-less recirculating organ-on-chip platform that combines human pluripotent stem cell (sc)-derived sc-liver and sc-islet organoids is presented. The platform reproduces key aspects of the metabolic cross-talk between both organs, including glucose levels and selected hormones, and supports the viability and functionality of both sc-islet and sc-liver organoids while preserving a reduced release of pro-inflammatory cytokines. In a model of metabolic disruption in response to treatment with high lipids and fructose, sc-liver organoids exhibit hallmarks of steatosis and insulin resistance, while sc-islets produce pro-inflammatory cytokines on-chip. Finally, the platform reproduces known effects of anti-diabetic drugs on-chip. Taken together, the platform provides a basis for functional studies of obesity, T2DM, and MASLD on-chip, as well as for testing potential therapeutic interventions.