Biospecimen Collection
ProcedureUndergo blood sample collection
Other names: Biological Sample Collection, Biospecimen Collected, Specimen Collection
NCT Number: NCT04550481
This phase II trial investigates how well lisinopril may work in preventing the progression of non-alcoholic fatty liver disease (NAFLD). NAFLD is a condition where there is an accumulation of fatty cells in the liver. NAFLD increases a person's risk of developing liver cancer. Liver fibrosis is the common finding of chronic liver diseases leading to reduced liver function. Lisinopril is a medication that is commonly used to treat high blood pressure. Lisinopril may help to decrease liver fibrosis. The purpose of this trial is to find out what effect, if any, lisinopril has on a patient's risk of developing liver cancer.
This study is active but is not currently recruiting participants.
Notify Me18 year and older
All sexes
Interventional
Phase 2
Cedars Sinai Medical Center, Los Angeles, California, United States
PRIMARY OBJECTIVE:
I. To determine if NAFLD patients with advanced fibrosis will demonstrate a change in PRO-C3, a marker of liver fibrosis, following 24 weeks of treatment with lisinopril.
SECONDARY OBJECTIVES:
I. Noninvasive measures of fibrosis and steatosis:
Ia. Change from baseline in PC3X (cross-linked multimeric PRO-C3);
Ib. Change from baseline in steatosis, as measured by controlled attenuation parameter (CAP) or liver ultra-sound attenuation (LiSA), determined with transient elastography:
Ic. Change from baseline in liver stiffness as measured with magnetic resonance elastography (MRE); Id. Change from baseline in liver stiffness as measured with transient elastography; Ie. Changes from baseline in Fibrosis-4 score (FIB-4) and NAFLD fibrosis score (NFS); If. Change in inflammatory markers (caspase cleaved cytokeratin 18 [CK-18], NF-kappaB, TGF-beta, TNF-alpha, IL6 and IL8).
OUTLINE:
Patients receive lisinopril orally (PO) once daily (QD) for 24 weeks in absence of unacceptable toxicity. Patients undergo transient elastography during screening and on study. Patients also undergo blood sample collection on study and may undergo a proton density fat fraction (PDFF) magnetic resonance imaging (MRI) and MRE on study.
Patients are followed up at 32 weeks after the start of study medication.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Undergo blood sample collection
Other names: Biological Sample Collection, Biospecimen Collected, Specimen Collection
Given PO
Other names: N2-[(1S)-1-Carboxy-3-phenylpropyl]-L-lysyl-L-proline, Dihydrate, Prinivil, Zestril
Undergo transient elastography
Other names: Fibroscan, TE, Transient Elastography, VCTE, Vibration-Controlled Transient Elastrography
Undergo PDFF MRE
Other names: MRE
Undergo PDFF MRI
Other names: Magnetic Resonance, Magnetic Resonance Imaging (MRI), Magnetic resonance imaging (procedure), Magnetic Resonance Imaging Scan, Medical Imaging, Magnetic Resonance / Nuclear Magnetic Resonance, MR, MR Imaging, MRI, MRI Scan, MRIs, NMR Imaging, NMRI, Nuclear Magnetic Resonance Imaging, sMRI, Structural MRI
Undergo PDFF MRI/MRE
Other names: Fat Fraction by Proton Density, PDFF
Ancillary studies
Time frame: Baseline to 24 weeks
Descriptive statistics will be used to summarize changes and values at each time point. The primary analysis will be performed using a paired t-test to compare the pre- to post-treatment changes in PRO-C3 levels. PRO-C3 levels will be log-transformed to satisfy the normality assumption. If log-transformation does not satisfy the normality assumption, a signed rank test will be used.
Time frame: Baseline to 24 weeks
Time frame: Baseline to 24 weeks
Measured by controlled attenuation parameter or liver steatosis analysis, determined with transient elastography. Changes in categorical variables will be analyzed using the Stuart-Maxwell test of marginal homogeneity. Linear regression models will be used to identify baseline characteristics that are associated with biomarker changes. Model selection will be conducted according to the purposeful model selection approach (REF) to a parsimonious set of predictors. Model fit will be assessed using standard regression diagnostics. Changes in categorical outcomes from pre- to post-treatment will also be categorized as improvement vs. no improvement (i.e. no change or worsening in steatosis grade), and logistic regression models will be used to examine association with baseline characteristics.
Time frame: Baseline to 24 weeks
Measured with magnetic resonance elastography. Changes in categorical variables will be analyzed using the Stuart-Maxwell test of marginal homogeneity. Linear regression models will be used to identify baseline that are associated with biomarker changes. Model selection will be conducted according to the purposeful model selection approach (REF) to a parsimonious set of predictors. Model fit will be assessed using standard regression diagnostics. Changes in categorical outcomes from pre- to post-treatment will also be categorized as improvement vs. no improvement (i.e. no change or worsening in steatosis grade), and logistic regression models will be used to examine association with baseline characteristics.
Time frame: Baseline to 24 weeks
Measured with transient elastography. Changes in categorical variables will be analyzed using the Stuart-Maxwell test of marginal homogeneity. Linear regression models will be used to identify baseline characteristics that are associated with biomarker changes. Model selection will be conducted according to the purposeful model selection approach (REF) to a parsimonious set of predictors. Model fit will be assessed using standard regression diagnostics. Changes in categorical outcomes from pre- to post-treatment will also be categorized as improvement vs. no improvement (i.e. no change or worsening in steatosis grade), and logistic regression models will be used to examine association with baseline characteristics.
Time frame: Baseline to 24 weeks
Changes in categorical variables will be analyzed using the Stuart-Maxwell test of marginal homogeneity. Linear regression models will be used to identify baseline characteristics that are associated with biomarker changes. Model selection will be conducted according to the purposeful model selection approach (REF) to a parsimonious set of predictors. Model fit will be assessed using standard regression diagnostics. Changes in categorical outcomes from pre- to post-treatment will also be categorized as improvement vs. no improvement (i.e. no change or worsening in steatosis grade), and logistic regression models will be used to examine association with baseline characteristics.
Time frame: Baseline to 24 weeks
Changes in categorical variables will be analyzed using the Stuart-Maxwell test of marginal homogeneity. Linear regression models will be used to identify baseline characteristics that are associated with biomarker changes. Model selection will be conducted according to the purposeful model selection approach (REF) to a parsimonious set of predictors. Model fit will be assessed using standard regression diagnostics. Changes in categorical outcomes from pre- to post-treatment will also be categorized as improvement vs. no improvement (i.e. no change or worsening in steatosis grade), and logistic regression models will be used to examine association with baseline characteristics.
Time frame: Baseline to 24 weeks
Descriptive statistics, including means, 95% confidence intervals, or median and inter-quartile range, will be used to summarize changes as well as biomarker values at each time point. To determine whether changes in these biomarkers occurred following treatment, paired t-test will be used as described for the analysis of the primary endpoint. Biomarker values may be transformed to satisfy the normality assumption. If no suitable transformation can be found, a signed rank test will be used. For the analysis of inflammatory biomarkers, tests will be adjusted for multiple comparisons to control the false discovery rate using the method of Romano.
Time frame: Baseline to 24 weeks
Measured by magnetic resonance imaging-proton density fat fraction. Changes in categorical variables will be analyzed using the Stuart-Maxwell test of marginal homogeneity. Linear regression models will be used to identify baseline characteristics that are associated with biomarker changes. Model selection will be conducted according to the purposeful model selection approach (REF) to a parsimonious set of predictors. Model fit will be assessed using standard regression diagnostics. Changes in categorical outcomes from pre- to post-treatment will also be categorized as improvement versus (vs.) no improvement (i.e. no change or worsening in steatosis grade), and logistic regression models will be used to examine association with baseline characteristics.
Time frame: Baseline to 24 weeks
Time frame: Baseline to 24 weeks
Time frame: Baseline to 24 weeks
Time frame: Baseline to 24 weeks
Time frame: Baseline to 24 weeks
Collect urine, stool, serum/plasma, and genomic deoxyribonucleic acid.
Northwestern University
Other
Role of Lisinopril in Preventing The Progression of Non-Alcoholic Fatty Liver Disease (NAFLD): Relief-NAFLD
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT05623150
Adenocarcinoma, Alcohol-related Liver Disease
Nice, France
View Trial DetailsNCT04525833
Adenocarcinoma, Blood-Borne Infections
New Taipei City, Taiwan
View Trial DetailsNCT04442334
Adenocarcinoma, Body Weight
Antwerp, Belgium
View Trial DetailsNCT04194775
Adenocarcinoma, Carcinoma
Coronado, California, United States
View Trial Details