The Non-Invasive Biomarkers for Metabolic Liver Disease (NIMBLE) study is a comprehensive, multi-year collaborative effort to standardize, validate and advance the regulatory qualification of blood- and imaging-based biomarkers to diagnose and stage Metabolic dysfunction-associated steatohepatitis (MASH), previously known as nonalcoholic steatohepatitis (NASH). MASH is characterized by liver inflammation accompanied by simultaneous fat accumulation in the liver.
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as nonalcoholic fatty liver disease (NAFLD), is a common liver problem which affects 30% of the United States population. Liver biopsy-based histopathology is accepted as the most accurate technique to detect patients at risk of developing serious liver conditions secondary to non-alcoholic steatohepatitis (MASH). However, the liver biopsy is an invasive test with risk for complications and even risk of mortality. Alternative non-invasive blood-based and imaging biomarkers are needed to replace liver biopsy for diagnosis and staging of MASH with fibrosis with the ultimate goal to guide timely decisions for clinical care including pharmacologic intervention for patients with MASH. The Non-Invasive Biomarkers for Metabolic Liver Disease (NIMBLE) project was commissioned by the FNIH to qualify non-invasive tests (NITs) for MASLD. It represents a collaborative effort involving the FNIH, Food and Drug Administration (FDA), academics and multiple industry partners to qualify biomarkers for diagnosis and staging of MASH with fibrosis. The NIMBLE project plan was designed to occur across two stages (Stage 1 and Stage 2) and with the ultimate goal to generate data on blood-based, Vibration Controlled Transient Elastography- (VCTE) based and imaging-based biomarkers to support seeking regulatory approval of one or more biomarker(s) or biomarker panel(s) for diagnosis and staging of MASH. Data generated within NIMBLE Stage 1 were able to successfully identify a set of candidate blood-based and imaging biomarkers that met prespecified criteria for further evaluation in Stage 2. The current study aims to deliver on that goal for NIMBLE Stage 2, namely, to confirm and extend the findings from NIMBLE Stage 1 in the setting of a prospective non-interventional trial in a population at risk for MASH with fibrosis. To that end, NIMBLE Study 2.0 is primarily designed to evaluate the performance characteristics of prespecified blood-based, VCTE-based and imaging-based biomarker(s) and biomarker panel(s) when calibrated against liver biopsy-based histology as well as currently available tools for diagnosis and staging of MASH in those at risk.
Study Type
OBSERVATIONAL
Enrollment
400
Clinical Pharmacology of Miami
Miami, Florida, United States
RECRUITINGOhio Clinical Trials
Columbus, Ohio, United States
RECRUITINGFirst Surgical Hospital
Bellaire, Texas, United States
RECRUITINGEndeavor Clinical Trials
San Antonio, Texas, United States
RECRUITINGDetection of At-Risk MASH
Evaluate the diagnostic performance of individual and combined biomarkers (e.g., NIS2+, ADAPT \[PRO-C3-based score\], MRI-AST (MAST) \[MRE + PDFF + AST\], FAST and Metabolomics-Advanced Steatohepatitis Fibrosis (MASEF) \[included in the OWLiver Test\]) for identifying at-risk MASH (MASH + MAS ≥4 + fibrosis stage ≥2).
Time frame: within 120 days of study enrollment.
Fibrosis Staging
Assess blood-based, imaging, and composite biomarkers (e.g., Enhanced Liver Fibrosis (ELF) Test, Liver Stiffness Measure (LSM) by VCTE, MRE, Agile 3+, Agile 4) for detecting clinically significant fibrosis (≥2), advanced fibrosis (≥3), and fibrosis stage 4 (cirrhosis, histologically defined).
Time frame: within 120 days of study enrollment.
Liver Fat Content Monitoring
Evaluate imaging-based biomarkers (e.g., MRI-PDFF, Hepatorenal Index, Controlled Attenuation Parameter (CAP)) for hepatic steatosis monitoring.
Time frame: within 120 days of study enrollment.
Diagnostic Enrichment
Identify biomarkers that enhance participant selection for clinical trials, focusing on populations with at-risk MASH, specific fibrosis stages, or steatosis.
Time frame: within 120 days of study enrollment.
Exploratory Biomarkers
Investigate exploratory biomarkers (e.g., AI-based histological scoring, sequential testing strategies) for novel diagnostic workflows.
Time frame: within 120 days of study enrollment.
Comparison to Fibrosis (FIB)-4 or other fibrosis-related standards
To compare the performance characteristics of one or more 1) blood-based biomarkers, 2) imaging-based biomarkers, 3) VCTE-based biomarkers and 4) multiparametric biomarkers to to FIB-4 or other fibrosis-related standards specific to the context of use (COU) for fibrosis in a population at risk for MASH with fibrosis.
Time frame: within 120 days of study enrollment.
Comparison to ALT or other activity-related standards.
To compare the performance characteristics of one or more 1) blood-based biomarkers, 2) imaging-based biomarkers, 3) VCTE-based biomarkers and 4) multiparametric biomarkers to ALT or other activity-related standards specific to the context of use (COU) of at-risk MASH in a population at risk for MASH with fibrosis.
Time frame: within 120 days of study enrollment.
Comparison to Histology.
To compare the performance characteristics of one or more 1) blood-based biomarkers, 2) imaging-based biomarkers, 3) VCTE-based biomarkers and 4) multiparametric biomarkers to histology standards to the context of use (COU) for steatosis in a population at risk for MASH with fibrosis.
Time frame: within 120 days of study enrollment.
AI-driven histology endpoints
a. Correlation of AI-based digital pathology results with traditional histological scoring systems (MAFLD Activity Score (MAS), fibrosis stages).
Time frame: within 120 days of study enrollment.
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