The first external validation of the Dallas steatosis index in biopsy-proven Non-alcoholic fatty liver Disease: A multicenter study

The external validation of Dallas Steatosis Index among Asian population: a useful tool for metabolic dysfunction-associated steatotic liver disease identification and prevention

BACKGROUND

The Dallas Steatosis Index (DSI) is a non-invasive tool (NIT) developed to detect the risk of metabolic dysfunction-associated steatotic liver disease (MASLD) in multi-ethnic populations, external validation in Asians has yet to be conducted. Therefore, we evaluated the ability of the DSI with the BMI classification of WPRO (DSI_WPRO) to identify MASLD in the Chinese population. In addition, we investigated the associations between the DSI_WPRO and the risk of MASLD in a longitudinal study.

METHODS

Baseline data from the Dongfeng-Tongji cohort were collected to investigate the ability of the DSI_WPRO to identify MASLD patients by ROC analysis. Furthermore, multivariate logistic regressions were performed to investigate the associations of the DSI_WPRO and MASLD risks in a 5-year follow-up of the DFTJ cohort study.

RESULTS

Among a total of 9,376 MASLD participants and 25,974 non-MASLD participants, the area under the curve (AUC) of the DSI_WPRO reached 0.777 after adjusting BMI classification, which is higher than other NITs in this study. In addition, we redefined the risk category and the screening proposal of MASLD in Asians with the DSI_WPRO. We found that the cutoff point of 0 has the best ability to recognize the presence or absence of MASLD. Furthermore, compared with the low DSI_WPRO (DSI_WPRO < 0), OR (95% CIs) of higher DSI_WPRO (DSI_WPRO ≥ 0) was 3.048 (2.827 ~ 3.285) for MASLD.

CONCLUSION

The DSI is a useful tool for MASLD identification and prevention. After more validation studies, DSI can be generalized in the Asian population.

GDF-15 improves the predictive capacity of steatotic liver disease non-invasive tests for incident morbidity and mortality risk for cardio-renal-metabolic diseases and malignancies

BACKGROUND & AIMS

Noninvasive tools (NITs) are currently used to stratify the risk of having or developing hepatic steatosis or fibrosis. Their performance and a proteomic-enabled improvement in forecasting long-term cardio-renal-metabolic morbidity, malignancies, as well as cause-specific and all-cause mortality, are lacking. Therefore, the performance of established NITs needs to be investigated in identifying cardio-renal-metabolic morbidity, malignancies, cause-specific and overall mortality and improve their performance with novel, proteomic-enabled NITs, including growth differentiation factor 15 (GDF-15), allowing multipurpose utilization.

METHODS

502,359 UK Biobank participants free of the study outcomes at baseline with a 14-year median follow-up were grouped into three categories: a) general population, b) potentially metabolic dysfunction-associated steatotic liver disease (MASLD) population, c) individuals with type 2 diabetes mellitus. The investigated NITs include Aspartate aminotransferase to Platelet Ratio Index (APRI), Fibrosis 4 Index (FIB-4), Fatty Liver Index (FLI), Hepatic Steatosis Index (HSI), Lipid Accumulation Product (LAP), and metabolic dysfunction-associated fibrosis (MAF-5) score.

RESULTS

Adding GDF-15 to the existing NITs led to significantly increased prognostic performance compared to the traditional NITs in almost all instances, reaching substantially high C-indices, ranging between 0.601 and 0.808, with an overall >0.2 improvement in C-index. Overall, with the GDF-15 enhanced NITs, up to more than seven times fewer individuals need to be screened to identify more incident cases of adverse outcomes compared to the traditional NITs. The cumulative incidence of all outcomes, based on the continuous value percentiles of NITs, is increasing exponentially in the upper quintile of the GDF-15 enhanced NITs.

CONCLUSIONS

The herein-developed GDF-15 enhanced indices demonstrate higher screening effectiveness and significantly improved prognostic abilities, which are reduced to practice through an easy-to-use web-based calculator tool (https://clinicalpredictor.shinyapps.io/multimorbidity-mortality-risk/).

Performance of Noninvasive Indices for Discrimination of Metabolic Dysfunction-Associated Steatotic Liver Disease in Young Adults

Background/Aims

Although numerous noninvasive steatosis indices have been developed to assess hepatic steatosis, whether they can be applied to young adults in the evaluation of metabolic dysfunction-associated steatotic liver disease (MASLD) remains uncertain.

Methods

Data from patients under 35 years of age who visited the Liver Health Clinic at the Armed Forces Goyang Hospital between July 2022 and January 2024 were retrospectively collected. Steatosis was diagnosed on the basis of a controlled attenuation parameter score ≥250 dB/m. MASLD was defined as the presence of steatosis in patients with at least one cardiometabolic risk factor.

Results

Among the 1,382 study participants, 901 were diagnosed with MASLD. All eight indices for diagnosing steatosis differed significantly between the MASLD and non-MASLD groups (p<0.001). Regarding the predictive performance, the hepatic steatosis index (HSI), fatty liver index (FLI), Framingham steatosis index, Dallas steatosis index, Zhejiang University index, lipid accumulation product, visceral adiposity index, and triglyceride glucose-body mass index exhibited an area under the curve of 0.898, 0.907, 0.899, 0.893, 0.915, 0.869, 0.791, and 0.898, respectively. The cutoff values for the FLI and HSI were re-examined, indicating a need for alternative cutoff values for the HSI, with a rule-in value of 42 and a rule-out value of 36 in this population.

Conclusions

This study presents novel findings regarding the predictive performance of established steatosis markers in young adults. Alternative cutoff values for the HSI in this population have been proposed and warrant further validation.

Simplifying coronary artery disease risk stratification: development and validation of a questionnaire-based alternative comparable to clinical risk tools

BACKGROUND

Coronary artery disease (CAD) comprises one of the leading causes of morbidity and mortality both in the European population and globally. All established clinical risk stratification scores and models require blood lipids and physical measurements. The latest reports of the European Commission suggest that attracting health professionals to collect these data can be challenging, both from a logistic and cost perspective, which limits the usefulness of established models and makes them unsuitable for population-wide screening in resource-limited settings, i.e., rural areas. Therefore, the aim of this study was to develop and externally validate a questionnaire-based risk stratification model on a population scale at minimal cost, i.e., the Questionnaire-Based Evaluation for Estimating Coronary Artery Disease (QUES-CAD) to stratify the 10-year incidence of coronary artery disease.

METHODS

Cox proportional hazards (CoxPH) and Cox gradient boosting (CoxGBT) models were trained with 10-fold cross-validation using combinations of ten questionnaire variables on the White population of the UK Biobank (n = 448,818) and internally validated the models in all ethnic minorities (n = 27,433). The Lifelines cohort was employed as an independent external validation population (n = 97,770). Additionally, we compared QUES-CAD's performance, containing only questionnaire variables, to clinically established risk prediction tools, i.e., Framingham Coronary Heart Disease Risk Score, American College of Cardiology/American Heart Association pooled cohort equation, World Health Organization cardiovascular disease risk charts, and Systematic Coronary Risk Estimation 2 (SCORE2). We conducted partial log-likelihood ratio (PLR) tests and C-index comparisons between QUES-CAD and established clinical prediction models.

FINDINGS

In the external validation set, QUES-CAD exhibited C-index values of CoxPH: 0.692 (95% Confidence Interval [CI]: 0.673-0.71) and CoxGBT: 0.699 (95% CI: 0.681-0.717) for the male population and CoxPH: 0.771 (95% CI: 0.748-0.794) and CoxGBT: 0.759 (95% CI: 0.736-0.783) for the female population. The addition of measurement-based variables and variables that require a prior medical examination (i.e., insulin use, number of treatments/medications taken, prevalent cardiovascular disease [other than CAD, and stroke diagnosed by a doctor]) and the further addition of biomarkers/other measurements (i.e., high-density lipoprotein [HDL] cholesterol, total cholesterol, and glycated haemoglobin) did not significantly improve QUES-CAD's performance in most instances. C-index comparisons and PLR tests showed that QUES-CAD performs and fits the data at least as well as the clinical prediction models.

INTERPRETATION

QUES-CAD performs comparably to established clinical prediction models and enables a population-wide identification of high-risk individuals for CAD. The model developed and validated herein relies solely on ten questionnaire variables, overcoming the limitations of existing models that depend on physical measurements or biomarkers.

FUNDING

University Medical Center Groningen.

Lipoprotein (a) in the Full Spectrum of Metabolic Dysfunction-associated Steatotic Liver Disease: Evidence From Histologically and Genetically Characterized Cohorts

BACKGROUND & AIMS

Lipoprotein(a) (Lp(a)) is an emerging biomarker for cardiometabolic factors. We studied the role of Lp(a) in the full spectrum of metabolic dysfunction-associated steatotic liver disease (MASLD).

METHODS

Three independent analyses were implemented using a multi-center, cross-sectional, liver biopsy-based study (n = 332) (Study 1) and the UK Biobank prospective study (n = 270,004) (Study 2; median follow-up, 12.47 years). In Study 1, we studied the cross-sectional association between Lp(a) mass and MASLD stages (Analysis A). In Study 2, we studied the prospective association between Lp(a) concentration and MASLD, liver cirrhosis, and hepatocellular carcinoma (Analysis B). Finally, these analyses were accompanied by a prospective analysis using LPA Genetic Risk Score (Analysis C).

RESULTS

In Study 1, an inverse association between Lp(a) and at-risk metabolic dysfunction-associated steatohepatitis (odds ratioper 1-SD increase, 0.64; 95% confidence interval [CI], 0.42-0.97) was observed. In contrast, when similar associations were examined prospectively (Study 2), subjects with Lp(a) <10.75 nmol/L had a higher risk for cirrhosis (hazard ratio, 1.49; 95% CI, 1.22-1.81) and HCC (hazard ratio, 1.69; 95% CI, 1.12-2.56) compared with subjects with Lp(a) within the 10.75 to 21.5 nmol/L range. Above these levels, the risk increased significantly and positively. Similarly, genetic analysis showed an L-shaped association with LPA Genetic Risk Score.

CONCLUSIONS

The inverse association observed in cross-sectional studies should be attributed to reverse causality (ie, the presence of liver disease may decrease Lp(a) levels). Genetically predicted very low Lp(a) levels are also associated with impaired liver health prospectively. Clinical trials evaluating Lp(a)-lowering agents should thus be monitored carefully for adverse liver effects in subjects attaining extremely low concentrations.

Apolipoprotein C-III in association with metabolic-dysfunction associated steatotic liver disease: A large, multicenter study

BACKGROUND & AIMS

The available literature on the effect of apolipoprotein C-III (ApoC-III) inhibition in MASLD reveals inconsistencies. The aim of the present work was to examine levels of ApoC-III in the entire spectrum of metabolic-dysfunction associated steatotic liver disease (MASLD).

METHODS

This is a multicenter study involving patients enrolled in two gastroenterology-hepatology clinics (Greece and Australia) and in a bariatric-metabolic surgery clinic (Italy), with liver biopsy before and after bariatric surgery or lifestyle modification.

RESULTS

Comparing simple MASL to steatohepatitis (MASH) with fibrosis stage F ≥ 2 (at-risk MASH), revealed a marginally significant trend for decreased ApoC-III levels in the latter group (p = 0.07). Multi-adjusted analysis revealed an inverse association between ApoC-III and at-risk MASH (Odds Ratioper 1 mg/dL increase in ApoC-III = 0.91, 95 % Confidence Interval (0.83, 0.99)). ApoC-III interacted with triglycerides in predicting at-risk MASH (p-for-interaction = 0.002). Participants with ApoC-III > median (∼3.75 mg/dL) and normal triglycerides (triglyceridese≤150 mg/dL) had the lowest likelihood to present at-risk MASH (31.8 %) in contrast with participants with ApoC-III < median and hypertriglyceridemia among whom at-risk MASH was recorded in 57.1 %. In multi-adjusted analysis participants with normal triglycerides and high ApoC-III had 64 % lower odds of at-risk MASH compared with their counterparts with ApoC-III < median (OR = 0.36, 95%CI (0.14, 0.86)). Among participants with hypertriglyceridemia, those with ApoC-III < median had less prevalent at-risk MASH compared with those with ApoC-III ≥ median (OR = 0.54, 95%CI (0.32, 0.98)); however in all cases significance was lost when liver enzymes were taken into account.

CONCLUSIONS

In advanced disease stages, ApoC-III levels seem to be decreased and advanced organ damage may be a potential explanation. Mendelian randomization studies are needed to confirm or refute this hypothesis.

Steatotic Liver Disease: Pathophysiology and Emerging Pharmacotherapies

Steatotic liver disease (SLD) displays a dynamic and complex disease phenotype. Consequently, the metabolic dysfunction-associated steatotic liver disease (MASLD)/metabolic dysfunction-associated steatohepatitis (MASH) therapeutic pipeline is expanding rapidly and in multiple directions. In parallel, noninvasive tools for diagnosing and monitoring responses to therapeutic interventions are being studied, and clinically feasible findings are being explored as primary outcomes in interventional trials. The realization that distinct subgroups exist under the umbrella of SLD should guide more precise and personalized treatment recommendations and facilitate advancements in pharmacotherapeutics. This review summarizes recent updates of pathophysiology-based nomenclature and outlines both effective pharmacotherapeutics and those in the pipeline for MASLD/MASH, detailing their mode of action and the current status of phase 2 and 3 clinical trials. Of the extensive arsenal of pharmacotherapeutics in the MASLD/MASH pipeline, several have been rejected, whereas other, mainly monotherapy options, have shown only marginal benefits and are now being tested as part of combination therapies, yet others are still in development as monotherapies. Although the Food and Drug Administration (FDA) has recently approved resmetirom, additional therapeutic approaches in development will ideally target MASH and fibrosis while improving cardiometabolic risk factors. Due to the urgent need for the development of novel therapeutic strategies and the potential availability of safety and tolerability data, repurposing existing and approved drugs is an appealing option. Finally, it is essential to highlight that SLD and, by extension, MASLD should be recognized and approached as a systemic disease affecting multiple organs, with the vigorous implementation of interdisciplinary and coordinated action plans. SIGNIFICANCE STATEMENT: Steatotic liver disease (SLD), including metabolic dysfunction-associated steatotic liver disease and metabolic dysfunction-associated steatohepatitis, is the most prevalent chronic liver condition, affecting more than one-fourth of the global population. This review aims to provide the most recent information regarding SLD pathophysiology, diagnosis, and management according to the latest advancements in the guidelines and clinical trials. Collectively, it is hoped that the information provided furthers the understanding of the current state of SLD with direct clinical implications and stimulates research initiatives.

Thyroid function, adipokines and mitokines in metabolic dysfunction-associated steatohepatitis: A multi-centre biopsy-based observational study

BACKGROUND AND AIMS

Thyroid axis is currently under investigation as a therapeutic target in metabolic dysfunction-associated steatotic liver disease (MASLD). Thyroid function was examined herein in the full spectrum of disease.

METHODS

Subjects were recruited and had liver biopsies in two Gastroenterology-Hepatology Clinics (Greece and Australia) and one Bariatric-Metabolic Surgery Clinic (Italy). The main working sample was n = 677 subjects with MASLD after excluding subjects with abnormal free thyroxine levels. Participants were classified according to thyroid-stimulating hormone (TSH) standard criteria: Subclinical hyperthyroidism (<0.4 uIU/mL); Euthyroidism with relatively low (0.4 to <2.5 uIU/mL); euthyroidism with relatively high (2.5-4.0 uIU/mL); subclinical hypothyroidism (>4 uIU/mL).

RESULTS

TSH as a continuous variable was positively associated with significant fibrosis (F ≥ 2), metabolic dysfunction-associated steatohepatitis (MASH) and at-risk MASH. Subclinical hypothyroidism was associated with fibrosis F ≥ 2 (odds ratio [OR] = 3.47, 95% confident interval [CI] [1.50, 8.05], p = .02), MASH (OR = 3.44, 95% CI [1.48, 7.98] p = .001) and at-risk MASH (OR = 3.88, 95% CI [1.76, 8.55], p = .001), before and after controlling for adiposity, central obesity, and insulin resistance. When leptin, adiponectin, or growth differentiation factor-15 were examined as moderators, significance was lost. Sex-specific analysis revealed a strong association between TSH and the presence of significant fibrosis among women, eliminated only when adipokines/mitokines were adjusted for. Restricted cubic spline analysis revealed associations between TSH and liver outcomes (p-values < .01) with inflection points for fibrosis F ≥ 2 being 2.49, for MASH being 2.67 and for at-risk MASH being 6.96.

CONCLUSIONS

These observations provide support for studies on the administration of thyroid hormone in MASLD therapeutics for subclinical hypothyroidism and liver-specific thyroid receptor agonists for subjects across the TSH continuum.

Milestones in the journey towards addressing obesity; Past trials and triumphs, recent breakthroughs, and an exciting future in the era of emerging effective medical therapies and integration of effective medical therapies with metabolic surgery

The 21st century is characterized by an increasing incidence and prevalence of obesity and the burden of its associated comorbidities, especially cardiometabolic diseases, which are reaching pandemic proportions. In the late '90s, the "black box" of adipose tissue and energy homeostasis was opened with the discovery of leptin, transforming the adipose tissue from an "inert fat-storage organ" to the largest human endocrine organ and creating the basis on which more intensified research efforts to elucidate the pathogenesis of obesity and develop novel treatments were based upon. Even though leptin was eventually not proven to be the "standalone magic bullet" for the treatment of common/polygenic obesity, it has been successful in the treatment of monogenic obesity syndromes. Additionally, it shifted the paradigm of treating obesity from a condition due to "lack of willpower" to a disease due to distinct underlying biological mechanisms for which specific pharmacotherapies would be needed in addition to lifestyle modification. Subsequently, the melanocortin pathway proved to be an equally valuable pathway for the pharmacotherapy of obesity. Melanocortin receptor agonists have recently been approved for treating certain types of syndromic obesity. Other molecules- such as incretins, implicated in energy and glucose homeostasis- are secreted by the gastrointestinal tract. Glucagon-like peptide 1 (GLP-1) is the most prominent one, with GLP-1 analogs approved for common/polygenic obesity. Unimolecular combinations with other incretins, e.g., GLP-1 with gastric inhibitory polypeptide and/or glucagon, are expected to be approved soon as more effective pharmacotherapies for obesity and its comorbidities. Unimolecular combinations with other compounds and small molecules activating the receptors of these molecules are currently under investigation as promising future pharmacotherapies. Moreover, metabolic and bariatric surgery has also demonstrated impressive results, especially in the case of morbid obesity. Consequently, this broadening therapeutic armamentarium calls for a well-thought-after and well-coordinated multidisciplinary approach, for instance, through cardiometabolic expertise centers, that would ideally address effectively and cost-effectively obesity and its comorbidities, providing tangible benefits to large segments of the population.

Effective questionnaire-based prediction models for type 2 diabetes across several ethnicities: a model development and validation study

Background

Type 2 diabetes disproportionately affects individuals of non-White ethnicity through a complex interaction of multiple factors. Therefore, early disease detection and prediction are essential and require tools that can be deployed on a large scale. We aimed to tackle this problem by developing questionnaire-based prediction models for type 2 diabetes prevalence and incidence for multiple ethnicities.

Methods

In this proof of principle analysis, logistic regression models to predict type 2 diabetes prevalence and incidence, using questionnaire-only variables reflecting health state and lifestyle, were trained on the White population of the UK Biobank (n = 472,696 total, aged 37-73 years, data collected 2006-2010) and validated in five other ethnicities (n = 29,811 total) and externally in Lifelines (n = 168,205 total, aged 0-93 years, collected between 2006 and 2013). In total, 631,748 individuals were included for prevalence prediction and 67,083 individuals for the eight-year incidence prediction. Type 2 diabetes prevalence in the UK Biobank ranged between 6% in the White population to 23.3% in the South Asian population, while in Lifelines, the prevalence was 1.9%. Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC), and a detailed sensitivity analysis was conducted to assess potential clinical utility. We compared the questionnaire-only models to models containing physical measurements and biomarkers as well as to clinical non-laboratory type 2 diabetes risk tools and conducted a reclassification analysis.

Findings

Our algorithms accurately predicted type 2 diabetes prevalence (AUC = 0.901) and eight-year incidence (AUC = 0.873) in the White UK Biobank population. Both models replicated well in the Lifelines external validation, with AUCs of 0.917 and 0.817 for prevalence and incidence, respectively. Both models performed consistently well across different ethnicities, with AUCs of 0.855-0.894 for prevalence and 0.819-0.883 for incidence. These models generally outperformed two clinically validated non-laboratory tools and correctly reclassified >3,000 additional cases. Model performance improved with the addition of blood biomarkers but not with the addition of physical measurements.

Interpretation

Our findings suggest that easy-to-implement, questionnaire-based models could be used to predict prevalent and incident type 2 diabetes with high accuracy across several ethnicities, providing a highly scalable solution for population-wide risk stratification. Future work should determine the effectiveness of these models in identifying undiagnosed type 2 diabetes, validated in cohorts of different populations and ethnic representation.

Funding

University Medical Center Groningen.