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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: Hepatology. 2019 Jun 18;70(5):1531–1545. doi: 10.1002/hep.30674

Novel MRI assessment of treatment response in HIV-associated NAFLD: a randomized trial of an SCD1 inhibitor (ARRIVE Trial)

Veeral H Ajmera 1,2, Edward Cachay 3, Christian Ramers 4, Irine Vodkin 2, Shirin Bassirian 1, Seema Singh 1, Neeraj Mangla 1, Richele Bettencourt 1, Jeannette L Aldous 5, Daniel Park 5, Daniel Lee 3, Jennifer Blanchard 3, Adrija Mamidipalli 6, Andrew Boehringer 6, Saima Aslam 7, Olof Dahlqvist Leinhard 8,9, Lisa Richards 1, Claude Sirlin 6, Rohit Loomba 1,2,10
PMCID: PMC7164416  NIHMSID: NIHMS1579290  PMID: 31013363

Abstract

Aramchol, an oral stearoyl-coenzyme-A-desaturase-1 (SCD1) inhibitor, has been shown to reduce hepatic-fat content in patients with primary nonalcoholic-fatty-liver-disease (NAFLD), however, its effect in patients with HIV-associated NAFLD is unknown. The ARRIVE trial was a double-blind, randomized, investigator-initiated, placebo-controlled trial to test the efficacy of 12 weeks of treatment with aramchol versus placebo in HIV-associated NAFLD. Fifty patients with HIV-associated NAFLD, defined by MRI-proton-density-fat-fraction (PDFF) ≥5%, were randomized to receive either aramchol 600 mg daily (n=25) or placebo (n=25) for 12 weeks. The primary endpoint was a change in hepatic-fat as measured by MRI-PDFF in co-localized regions-of-interest. Secondary endpoints included changes in liver-stiffness using MR-elastography (MRE) and vibration-controlled-transient-elastography (VCTE) and exploratory endpoints included changes in total body fat and muscle depots on DXA, whole-body and cardiac MRI. The mean (±SD) of age and BMI were 48.2±10.3 years and 30.7±4.6kg/m2 respectively. There was no difference in the reduction in mean MRI-PDFF between the aramchol group at −1.3% (baseline-MRI-PDFF:15.6% vs end-of-treatment MRI-PDFF:14.4%, p=0.24) versus placebo at −1.4% (baseline-MRI-PDFF:13.3% vs end-of-treatment MRI-PDFF:11.9%, p=0.26), respectively. There was no difference in the relative decline in mean MRI-PDFF between aramchol group and placebo (6.8% versus 1.1%, p=0.68). There were no differences in MRE and VCTE derived liver-stiffness, and whole body (fat and muscle) composition analysis by MRI or DXA. Compared to baseline, end-of-treatment aminotransferases were lower in the aramchol group but not in the placebo arm. There were no significant adverse events.

Conclusion:

Aramchol, over a 12-week period, did not reduce hepatic-fat or change body fat and muscle composition by utilizing novel MRI-based assessment in patients with HIV-associated NAFLD. (clinicaltrials.gov ID:NCT02684591)

Keywords: NASH, steatosis, MRI-PDFF

INTRODUCTION

Nonalcoholic fatty liver disease (NAFLD) is one of the most prevalent etiologies of chronic liver disease worldwide and an increasingly common cause of cirrhosis and hepatocellular carcinoma (1, 2). NAFLD can be broadly classified into primary NAFLD that is typically seen in the presence of metabolic syndrome and secondary NAFLD that may be associated with other causes such as medications inducing steatosis, viral hepatitis, inborn errors of metabolism, or human immunodeficiency virus (HIV) infection.

Among patients with HIV infection, liver disease is one of the leading causes of death (3). NAFLD affects 20–40% of people with HIV(4) and is associated with increased histologic severity compared to HIV negative controls (5). While many aspects of the pathogenesis of HIV-associated NAFLD likely overlap with primary NAFLD, unique factors may also exist in patients with HIV-associated NAFLD. Increased disease severity can be seen at lower BMI and may be related to a greater amount of visceral adipose tissue (6), antiviral therapy (7) direct viral effects and increased permeability of the gut epithelium (8). Despite the ongoing development of therapeutic treatments for NAFLD (911) patients with HIV-associated NAFLD are largely excluded from those trials and currently have no approved options available for treatment.

Aramchol, also known as arachidyl amido cholanoic acid, is a fatty acid and a bile acid conjugate (FABAC) that was created by conjugating 2 natural components, cholic acid and arachidic acid, through a stable amide bond. Aramchol inhibits stearoyl-coenzyme A desaturase 1 (SCD1), a key enzyme in fatty acid synthesis. SCD1 is an endoplasmic reticulum enzyme that catalyzes the rate-limiting step in the biosynthesis of monounsaturated fatty acids from saturated fatty acids. Inhibiting SCD1 decreases synthesis and increases beta-oxidation of fatty acids, causing decreased storage of fatty acids. In 2003, Gilat and colleagues showed that (12) aramchol significantly reduced hepatic fat content in animals (rats, hamsters, and mice) with a high-fat diet model. In 2014, Safadi and colleagues (13) demonstrated that aramchol significantly reduced hepatic fat content, measured by magnetic resonance sprectroscopy (MRS), in a randomized trial of 60 Israeli NAFLD patients (without HIV) after 12 weeks of 300mg aramchol orally daily. A Phase I study of aramchol, found a good safety profile with dosing up to 900 mg daily and an international, multicenter trial is currently being conducted in patients with biopsy-proven NASH, however, aramchol has not yet been studied in HIV-associated NAFLD.

Thus, we hypothesized that aramchol 600 mg orally daily would be superior to placebo in improving hepatic fat on MR imaging in patients with HIV-associated NAFLD. Utilizing a double-blind randomized controlled trial of patients with HIV-associated NAFLD, we tested the efficacy of aramchol versus placebo on improvement in MRI proton density fat fraction (MRI-PDFF) over 12 weeks. Secondary aims were to assess the effect of aramchol on serum aminotransferases and liver stiffness and exploratory aims included longitudinal assessment of body composition using advanced MRI and dual energy X-ray absorptiometry (DXA).

MATERIAL AND METHODS

Study Design and Population

This ARRIVE trial was a double-blind, randomized, investigator-initiated, placebo-controlled trial to test the efficacy of 12 weeks of treatment with 600 mg of oral aramchol daily versus placebo in the treatment of HIV-associated NAFLD. The study was designed and conducted according to CONSORT Guidelines and registered at clinicaltrials.gov (registration number NCT02684591) (CONSORT Checklist: Supplemental Materials). Patients were enrolled between March 1, 2016 and January 1, 2018 and the study was conducted at the University of California at San Diego (UCSD) NAFLD Research Center (1418). The ARRIVE trial patient population was derived from primary care clinics, subspecialty clinics including HIV-treatment and liver disease clinics and through institutional review board approved advertisements. The protocol was Health Insurance Portability and Accountability Act (HIPAA) compliant and was approved by the UCSD Institutional Review Board. Informed written consent was obtained from each participant before study enrollment.

Inclusion and Exclusion Criteria

Inclusion Criteria: All patients were aged 18 years or older with a history of stable HIV defined by an unchanged antiretroviral therapy (ART) regimen for at least 12 weeks prior to study screening and had the presence of NAFLD defined by ≥ 5% steatosis by MRI-PDFF. Patients also had to have at least one or more of the following risk factors for more severe fatty liver disease; hypertriglyceridemia (>150 mg/dL), dyslipidemia (low density lipoprotein (LDL) > 160 mg/dL or high density lipoprotein (HDL) < 40 mg/dL), serum ALT above the upper limit of normal (>19 U/L for women and >30 U/L for men), BMI >25 kg/m2, hyperuricemia, prediabetes or diabetes defined by American Diabetes Association criteria.

Subjects were excluded if they had evidence of other forms of liver disease including the presence of serum hepatitis B surface antigen, hepatitis C viral RNA, positive autoimmune serologies with biopsy consistent with autoimmune hepatitis, cholestatic liver disease, hemochromatosis by 3+ or 4+ stainable iron on biopsy and homozygosity/heterozygosity on genetic analysis, low ceruloplasmin levels with biopsy suggestive of Wilson’s disease, or low alpha‐1‐antitrypsin levels with biopsy suggestive of alpha‐1‐antitrypsin disease. Further exclusion criteria included alcohol intake of more than 30 g/day in the previous 10 years or greater than 10 g/day in the previous year, evidence of cirrhosis based on clinical assessment or imaging, active illicit drug use, pregnancy, evidence of hepatocellular carcinoma, ingestion of drugs known to cause hepatic steatosis, ingestion of drugs known to improve NASH such as vitamin E or pioglitazone, or inability to undergo MRI. Patients on medications with known drug-drug interactions with aramchol or hypersensitivity to aramchol or associated medications were excluded. Patients with significant other systemic illness or poorly controlled diabetes defined by a hemoglobin A1c > 9% were excluded.

Baseline Assessments

Patients were screened in the UCSD NAFLD research center clinic with history, physical examination, review of outside medical records (including HIV status) and routine blood tests. Alcohol history was assessed with the AUDIT and Skinner lifetime alcohol consumption inventories. All patients were asked to stop any medications being used for their liver disease, including herbal medications. Only those meeting all inclusion criteria and avoiding all exclusion criteria were invited to participate in the study. Those who met all eligibility criteria and had no exclusion criteria underwent more thorough evaluation with laboratory testing including homeostatic model assessment for insulin resistance (HOMA-IR), adipose insulin resistance (Adipo-IR), liver MRI, cardiac MRI, vibration controlled transient elastography (VCTE) with controlled attenuation parameter (CAP), DXA for full body fat assessment, a commercial MRI protocol for body composition analysis (19) and an oral glucose tolerance test (OGTT). CD4 cell count and HIV viral loads were measured at baseline and lipodystrophy was assessed by physical examination for facial, temporal, upper or lower extremity lipoatrophy and visceral or dorsocervical fat accumulation.

Definition of HIV Associated NAFLD

Subjects were defined to have HIV-associated NAFLD based on MRI-PDFF > 5% after exclusion of other causes of liver disease, excessive alcohol use or use of medications that cause hepatic steatosis (see exclusion criteria above for details).

Randomization and Allocation Concealment

Subjects were randomized to either an aramchol or a placebo group in blocks of four in a 1:1 ratio by the investigational drug services at the University of California at San Diego using computer‐generated numbers. Patients were randomized to receive 600 mg daily of aramchol (including 200 mg tablet and 400 mg tablet) versus identical placebo orally for a total of 12 weeks. Medication diaries and a count of residual tablets monitored patient compliance at scheduled visits. Independent investigational drug services pharmacists dispensed either active or placebo treatment pills, which were identical in appearance. Pills were prepackaged in identical bottles, labeled according to the computer‐generated randomization numbers, and delivered to the research clinic. The allocation sequence was concealed from the research coordinators and all investigators including hepatologists and radiologists. Radiology investigators were blinded to clinical data. Treatment allocation was unblinded only after the completion of all study procedures in the entire study including all post-treatment MRI studies on all patients. Data analysis were performed by an experienced statistician using a pre-specified analysis plan.

Study Visits

Patients returned to the research clinic at weeks 4, 8, and 12 after randomization. At these clinic visits, routine blood tests were obtained, body weight and vital signs were recorded, and the number of pills was counted to document compliance. A physical exam and careful history of liver‐related symptoms as well as possible side effects of aramchol were also obtained at each visit. At the completion of 12 weeks of therapy, patients underwent MRI-PDFF, MRE, cardiac MRI, VCTE with CAP, OGTT, DXA and MRI for body compositional analysis and repeat blood work.

Primary and Secondary Endpoints

The primary endpoint was a change in liver fat as measured by MRI‐PDFF in co-localized regions of interest (ROI) within each of the nine liver segments as performed previously.(2022) Secondary endpoints included change in aminotransferases and liver stiffness and exploratory endpoints included body compositional analysis.

Advanced Liver MRI Phenotyping

MRI was performed at the UCSD MR3T Research Laboratory using the 3T research scanner (GE Signa EXCITE HDxt; GE Healthcare, Waukesha, WI) with all participants in the supine position. MRI-PDFF was used to measure hepatic steatosis and MRE was used to measure hepatic stiffness. The details of the MRI protocol have been previously described.(15, 23)

MRI-PDFF for Fat Quantification:

MRI-PDFF utilizes a low-flip angle, gradient echo sequence to acquire multiple echoes in which fat and water protons are in and out of phase. A custom algorithm created by the Liver Imaging Group at UCSD was used to create MR imaging-PDFF maps. MRI-PDFF measurements are reliable and independent of field strength, scanner manufacturer, and patient characteristics including BMI, age and sex.(2325) Co-localized ROIs were used to asses changes in liver fat over time with one co-localized ROI placed in each of nine liver segments, which allows for increased efficiency and higher precision and accuracy in assessing changes over time.(14, 20, 21)

MR Elastography:

MRE is the most accurate biomarker for the quantitative assessment of liver stiffness as a surrogate for hepatic fibrosis.(18, 26, 27) A passive driver was fitted around the body over the liver and connected to an acoustic active driver that delivered continuous vibrations at 60 Hz to produce shear waves in the liver, which were processed to generate elastograms depicting liver stiffness. Four slices were assessed, and co-localized ROIs were manually specified.

Ultrasound-Based Assessment

Transient elastography was performed by an experienced operator using the FibroScan 502 Touch model (M Probe, XL Probe; Echosens, Paris, France) as previously described.(28) The liver stiffness measurement was obtained after at least a three hour fast and included a minimum of 10 measurements. All patients were initially scanned with the M probe and when indicated by the initial assessment rescanned with the XL probe. An unreliable liver stiffness measurement was defined as a ratio of successful to total acquisitions of < 60% and/or < 10 valid measurements and/or IQR/median > 30%.(29) The CAP value was measured simultaneously and quantifies the attenuation of ultrasound waves in dB/m to provide a measure that correlates with liver steatosis.(30)

Body Composition Analysis with MRI and DXA

A commercially available sequence to estimate abdominal adipose tissue and thigh muscle volume was implemented and obtained in approximately six minutes by imaging the base of the skull to the knees using MRI without contrast was performed (AMRA Medical AB, Linkoping, Sweden). This accurate and repeatable method(19, 31) measured visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT), and four thigh muscle volumes. Multiple indexes(32) were calculated as follows: visceral fat ratio = VAT / (VAT + ASAT) * 100, muscle ratio = weight/total thigh volume; fat storage = (VAT + ASAT)/height2; visceral fat index = VAT/height2; fat ratio = (VAT + ASAT) / (VAT + ASAT + total thigh volume) * 100. In addition, full body DXA scan was performed at baseline and week 12. Finally, epicardial fat volume was calculated on cardiac MRI as the region of high signal intensity external to the myoepicardium to the pericardium.

Rationale for Total Body MRI

Pharmacologic agents in NAFLD targeting lipid metabolism can have off-target effects, and assessment of body composition including visceral adiposity is of particular importance in patients with HIV who are at risk for lipodystrophy. Frequently, therapeutic trials in NAFLD incorporate advanced liver imaging with MRI.(10, 33) Body composition analysis with MRI allows for accurate and reproducible assessment of extrahepatic muscle and fat in three dimensions and without ionizing radiation.

Sample Size Assessment and Statistical analysis

Our primary endpoint was the absolute difference in change in MRI-PDFF between placebo and aramchol arms. Based upon previous studies we expected a 5% greater improvement in MRI-PDFF in the aramchol group compared to the placebo arm. This requires a sample size of 22 patients in each arm to have a power 90% (or higher) with an α of 0.05. These estimates were also based upon our recent trial using MRI-PDFF as an accurate and reproducible marker of hepatic steatosis.(34) Therefore, we planned to randomize 25 patients to each arm to have adequate power to detect a difference in placebo and experimental groups accounting for a 10% drop rate, consistent with prior trials using MRI based endpoints.(14, 20). The chi-squared test was used for comparisons between categorical variables and a paired t test was used to compare mean differences between continuous variables in the aramchol versus placebo groups. The primary endpoint of this study was improvement in hepatic steatosis by liver MRI and the difference in improvement between aramchol and placebo was tested using a two-sample t-test.

RESULTS

Between March 1, 2016 and January 1, 2018, 50 patients with HIV-associated NAFLD were randomized to either aramchol or placebo. Of the 25 patients into each arm, 24 patients in the treatment arm and 22 patients in the placebo arm completed 12 weeks of intervention with pre and post treatment MRI-PDFF (CONSORT Diagram: Supplemental Figure 1). The study population included 92% men and was predominantly non-white (66%) with the majority of patients of Hispanic ethnicity (66%). Baseline characteristics of the two groups are shown in Table 1.

Table 1.

Baseline Demographic, Biochemical, and Histologic Characteristics of Subjects

N Aramchol (n=25) Placebo (n=25) P-Value
Demographics
Age (years) 50 46.6 ± 11.4 49.7 ± 9.0 0.3002
Male patients 50 22 (88%) 24 (96%) 0.6092
White (vs. non-White) 50 11 (44%) 6 (24%) 0.1355
Hispanic (vs. non) 50 14 (56%) 19 (76%) 0.1355
Clinical
Weight (kg) 50 94.7 ± 16.8 88.9 ± 16.6 0.2196
Height (m) 49 172.4 ± 8.5 171.4 ± 7.0 0.6601
BMI (kg/m2) 49 31.4 ± 5.0 30.1 ± 4.2 0.3086
 BMI ≥ 30 49 14 (58.3%) 9 (36.0 %) 0.1174
Diabetes 50 2 (8%) 8 (32%) 0.0339
Biochemical profile
ALT (IU/L) 50 58.0 (55.0) 43.0 (26.0) 0.0080
AST (IU/L) 50 42.0 (29.0) 29.0 (23.0) 0.0624
AST:ALT 50 0.6 (0.2) 0.7 (0.2) 0.0397
Alk Phos (U/L) 50 77.0 (32.0) 85.0 (40.0) 0.9536
Total bilirubin (mg/dL) 50 0.6 (0.3) 0.5 (0.3) 0.3222
Direct bilirubin (mg/dL) 47 0.2 (0.0) 0.2 (0.0) 0.2811
Albumin (g/dL) 49 4.5 (0.4) 4.5 (0.3) 0.4240
Protime (s) 50 11.3 (0.9) 11.3 (0.9) 0.6903
Triglycerides (mg/dL) 50 166.0 (67.0) 184.0 (124.0) 0.3986
Total cholesterol (mg/dL) 50 177.0 (58.0) 171.0 (36.0) 0.9690
LDL (mg/dL) 48 109.0 (46.0) 95.0 (31.0) 0.4090
FFA (mmol/L) 49 0.5 (0.3) 0.7 (0.3) 0.3318
Glucose (mg/dL) 50 98.0 (17.0) 108.0 (33.0) 0.2401
Insulin (μU/mL) 50 30.0 (17.0) 23.0 (25.0) 0.9831
HOMA-IR 50 7.2 (4.0) 6.3 (7.3) 0.7859
Hgb A1C (%) 48 5.5 (0.6) 5.6 (0.7) 0.5278
HIV-related
CD4 count (cells/mm3) 48 696.0 (351.0) 680.0 (351.0) 0.9671
Viral load (copies/ml) 46 0 (0) 0 (0) 0.4018
Time since HIV diagnosis (years) 46 14.5 (14) 18.0 (17) 0.4343
Imaging
MRI PDFF 50 16.2 (10.1) 12.1 (10.3) 0.5094
MRE (kPa) 46 2.5 (0.8) 2.3 (0.7) 0.4221
VCTE LSM (kPa)
 Median 49 6.1 (3.0) 5.5 (3.5) 0.4831
 IQR 49 1.2 (0.7) 0.7 (1.0) 0.2211
 IQR/M 49 15.0 (12.0) 11.0 (8.0) 0.1961
 Success rate <60%, n(%) 48 2 (8%) 4 (17.4%) 0.9232
 Unreliable liver stiffness, n(%) 50 0 1(4%) 1.0000
Controlled attenuation parameter (dB/m)
 Median 48 334.0 (42.0) 319.0 (105.0) 0.6423
 IQR 48 33.0 (21.0) 30.0 (26.0) 0.7883
Probe size, n(%) 0.5712
 Medium 23 11 (44%) 12 (52.2%)
 XL 25 14 (56%) 11 (47.8%)
Adipose Indices
 Total Body % Fat 43 31.7 (9.5) 31.8 (6.8) 0.4952
 Fat Mass/Height2 (kg/m2) 43 9.8 (5.6) 9.0 (2.7) 0.1885
 Android/Gynoid Ratio 43 1.4 (0.3) 1.4 (0.5) 0.2278
 % Fat Trunk/% Fat Legs 43 1.3 (0.3) 1.5 (0.9) 0.0659
 Trunk/Limb Fat Mass Ratio 43 1.6 (0.5) 1.9 (0.7) 0.0445
 Est. VAT Mass (g) 43 956 (418) 1051 (299) 0.6262
 Est. VAT Volume (cm3) 43 1033 (452) 1137 (323) 0.6262
 Est. VAT Area (cm2) 43 198 (87) 218 (62) 0.6348
Lean Indices
 Lean/Height2 (kg/m2) 43 19.7 (3.8) 19.4 (2.4) 0.3805
 Appen. Lean/Height2 (kg/m2) 43 8.7 (2.1) 8.1 (1.7) 0.3122
Metabolic Factors, n(%)
 Waist >102cm men, > 88cm women 49 15 (62%) 15 (60%) 0.8575
 Triglycerides ≥ 150 mg/dL 50 14 (56%) 16 (64%) 0.5637
 HDL < 40mg/dL men, < 50 mg/dl women 48 14 (58%) 8 (33%) 0.0822
 SBP ≥ 130 and/or DBP ≥ 85 50 10 (40%) 12 (48%) 0.5688
 FPG ≥ 100 mg/dL 50 10 (40%) 16 (64%) 0.0894
 Metabolic Syndrome 50 12 (48%) 11 (44%) 0.7766
MRI Body Composition Indices
 Pericardial Volume (mm3) 32 174700 (117770) 134100 (63059) 0.2582
 VAT (l) 44 6.3 (2.5) 6.6 (2.7) 0.8142
 ASAT (l) 43 7.9 (4.6) 6.8 (5.2) 0.4963
 VAT + ASAT (l) 43 14.3 (4.3) 14.6 (5.1) 0.7246
 Visceral fat ratio (%) 43 43.4 (15.6) 46.4 (19.3) 0.5040
 Thigh volume (l) 40 12.8 (3.2) 11.6 (2.6) 0.0216
 Muscle ratio (kg/l) 40 7.3 (1.0) 7.5 (2.1) 0.3918
 Fat storage (l/m2) 42 5.0 (1.5) 4.9 (1.5) 0.9699
 Visceral Fat Index (l/m2) 43 2.1 (0.8) 2.3 (0.7) 0.5031
 Fat ratio (%) 39 53.3 (8.8) 53.6 (11.2) 0.7890

BMI, Body Mass Index; AST, Aspartate Aminotransferase; ALT, Alanine Aminotransferase; Hgb A1C, hemoglobin A1C; LDL, Low-Density Lipoprotein; HDL, High-Density Lipoprotein; FFA, Free Fatty Acids; CRP, C-Reactive Protein; ALK Phos, Alkaline Phosphatase; GGT, Gamma-Glutamyl Transferase; HOMA, homeostatic model assessment; LSM, Liver Stiffness Measurement; VAT, Visceral Adipose Tissue; SBP, systolic blood pressure; DBP, diastolic blood pressure; FPG, fasting plasma glucose; ASAT, abdominal subcutaneous adipose tissue.

Muscle ratio = weight/total thigh volume; Fat storage = (VAT + ASAT)/height2; Visceral Fat Index = VAT/height2; Fat ratio = (VAT + ASAT) / (VAT + ASAT + total thigh volume) * 100

Data presented as mean ± sd, median(iqr) or n(%) as appropriate.

T-test performed on continuous variables presented as mean ± sd, Wilcoxon-Mann-Whitney performed on all other continuous/ordinal variables. Chi-square or Fisher’s exact test as appropriate on all categorical variables.

P-values in bold denote statistical significance < 0.05.

Primary Endpoint: Effect of Aramchol on Liver Fat as Assessed by MRI-PDFF

Aramchol was not significantly better than placebo at reducing liver fat content as measured by mean ± standard deviation (SD) MRI-PDFF change in aramchol and placebo arms −1.3% ± 5.9 and −1.4% ± 5.1, p=0.93 (Table 2) (Supplemental Figure 2). The mean percent change in MRI-PDFF did not differ in the aramchol and placebo groups (Figure 1). Similarly, in sub-analysis restricted to patients with MRI-PDFF ≥ 8% at baseline (N=38) aramchol was not significantly better than placebo at reducing liver fat content measured by mean ± SD MRI-PDFF change (−1.66% ± 5.5 and −3.01% ± 5.3, p=0.46). Advanced MRI imaging of representative patients are shown in Figures 2 and 3.

Table 2.

Aramchol Versus Placebo: Longitudinal Full Liver Fat Mapping Using Magnetic Resonance Imaging Proton Density Fat-Fraction (MRI PDFF)

Aramchol (n=24) Placebo (n=22) Difference
Liver Segments Baseline Posttreatment P-Value Baseline Posttreatment P-Value P-Value
1 15.4 (6.9) 14.3 (7.9) 0.2989 13.3 (5.8) 11.6 (5.0) 0.1890 0.7589
2 14.1 (6.3) 13.3 (7.3) 0.4123 11.9 (6.2) 10.2 (5.0) 0.1779 0.5409
3 14.8 (6.5) 13.7 (7.7) 0.3371 13.2 (6.6) 11.7 (6.1) 0.2744 0.8000
4a 15.7 (6.8) 14.3 (7.6) 0.1993 13.0 (6.1) 11.5 (5.0) 0.2361 0.9609
4b 15.8 (6.9) 14.3 (7.8) 0.2118 13.3 (6.4) 11.9 (5.5) 0.3042 0.9486
5 15.6 (7.1) 14.6 (8.3) 0.3967 13.0 (5.5) 11.9 (6.1) 0.4579 0.9407
6 15.5 (7.1) 14.3 (8.0) 0.2709 13.5 (6.5) 11.3 (6.3) 0.1236 0.6302
7 16.5 (7.8) 15.2 (8.5) 0.2360 14.3 (6.3) 13.1 (6.6) 0.4051 0.9281
8 16.6 (7.7) 15.6 (8.5) 0.3820 14.4 (6.2) 13.3 (6.9) 0.4348 0.9756
MRI PDFF average 15.6 (6.9) 14.4 (7.8) 0.2400 13.3 (5.9) 11.9 (5.6) 0.2648 0.9308
MRE average (kPa) 2.6 (0.6) 2.5 (0.5) 0.4777 2.4 (0.5) 2.5 (0.6) 0.7151 0.4459
VCTE (kPa)
 Median 6.7 (2.3) 7.4 (3.3) 0.2582 6.3 (2.8) 5.2 (1.4) 0.0321 0.0307
 IQR 1.0 (0.5) 1.3 (0.8) 0.1319 0.9 (0.6) 0.8 (0.5) 0.2175 0.0542
 IQR/M 15.6 (8.4) 16.3 (6.2) 0.7102 14.4 (6.8) 13.6 (6.9) 0.7256 0.6068
Controlled attenuation parameter (dB/m)
 Median 330.3 (41.2) 313.5 (59.4) 0.1912 316.4 (70.9) 312.5 (54.8) 0.8193 0.5287
 IQR 32.8 (14.9) 35.0 (20.5) 0.6577 33.3 (18.8) 35.9 (16.9) 0.6823 0.9615

Data are expressed as means (sd) or mean difference with p-values in parentheses. Associated p-values are from t test. P-values in bold denote statistical significance < 0.05.

MRI-PDFF, Magnetic Resonance Imaging Proton Density Fat Fraction;

MRI PDFFs measured in all nine liver segments are used to calculate segmental and overall fat fraction averages at baseline and posttreatment between Drug and placebo group.

Only reliable VCTE values used

Figure 1:

Figure 1:

Percent mean change in liver fat relative to baseline as assessed by MRI-PDFF by treatment group. The difference between the aramchol group and placebo group was not statistically significant (p=0.68)

Figure 2:

Figure 2:

In a representative patient (a) MRI-PDFF fat mapping of the liver. The patient’s average liver fat fraction decreased from 12.2% (Week 0) to 10.2% (Week 12) (b) MRE elastograms depicting liver stiffness throughout the entire liver with average liver stiffness increasing from 2.3 kPa to 2.4 kPa (c) Epicardial fat volume on MRI increased from 62,260 mm3 at week 0 to 94,570 mm3 at week 12.

Figure 3:

Figure 3:

Advanced whole-body composition analysis with MRI in a representative patient. Changes from Week 0 to Week 12 in visceral adipose tissue, abdominal subcutaneous adipose tissue, were 4.38 to 4.78 L and 7.67 to 7.88 L respectively. Week 0 to Week 12 thigh muscle volume changes for left posterior, right posterior, left anterior and right anterior were 3.84 to 3.89 L, 3.95 to 3.98 L, 2.23 to 2.32 L and 2.45 to 2.56 L respectively.

Effect of Aramchol on Liver Stiffness by MRE and VCTE

The mean ± SD liver stiffness by MRE in the aramchol and placebo groups at baseline were similar 2.6 ± 0.6 kPa and 2.4 ± 0.6 kPa respectively. At the end of study the liver stiffness by MRE in the aramchol and placebo groups 2.5 ± 0.5 kPa and 2.5 ± 0.6 kPa respectively, and aramchol was not associated with an improvement in liver stiffness by MRE compared to placebo, p=0.45 (Table 2).

Liver stiffness was also assessed by VCTE and was similar between the aramchol and placebo groups at baseline 6.7 ± 2.3 kPa and 6.3 ± 5.2 kPa respectively. Change in liver stiffness measurement by VCTE was not significantly different between the aramchol and placebo groups (Table 2).

Effect of Aramchol on Anthropometric and Biochemical Measurements

There were no significant differences in change in BMI, aminotransferases, HOMA-IR or CD4 count between the aramchol and placebo groups. Median total cholesterol increased in the aramchol group (18 mg/dL) compared to a decrease in placebo (−2.0 mg/dL), which was statistically significant, p=0.02. Within the aramchol group, ALT, AST and AST:ALT ratio improved at end of treatment compared to baseline. Within the placebo group, fasting free fatty acids (FFA) and glucose improved from baseline to end of treatment (Table 3).

Table 3.

Changes in Anthropometric and Biochemical Variable Between the Aramchol- Versus Placebo-Treated Patients

Aramchol (n=22) Placebo (n=21) Difference
Baseline Posttreatment P-Value Baseline Posttreatment P-Value P-Value
Weight (kg) 89.3 (11.9) 90.0 (8.2) 0.6486 87.3 (18.8) 85.4 (20.5) 0.4683 0.3685
BMI (kg/m2) 30.4 (4.3) 30.1 (4.3) 0.2919 29.1 (3.1) 29.3 (4.0) 0.0831 0.0595
ALT (IU/L) 58.0 (53.0) 51.0 (37.0) 0.0002 43.0 (26.0) 36.0 (44.0) 0.1211 0.1051
AST (IU/L) 40.5 (29.0) 37.0 (15.0) 0.0189 28.5 (25.0) 25.5 (16.0) 0.1572 0.5180
AST:ALT 0.6 (0.2) 0.7 (0.3) 0.0002 0.7 (0.2) 0.7 (0.3) 0.4392 0.1625
Alk Phos (U/L) 77.0 (31.0) 80.5 (32.0) 0.5437 79.5 (42.0) 76.5 (41.0) 0.1478 0.2003
Total bilirubin (mg/dL) 0.6 (0.3) 0.5 (0.3) 0.4484 0.5 (0.3) 0.4 (0.4) 0.1172 0.5262
Direct bilirubin (mg/dL) 0.2 (0.0) 0.2 (0.0) 1.0000 0.2 (0.0) 0.2 (0.0) 0.5000 0.3101
Albumin (g/dL) 4.5 (0.4) 4.5 (0.2) 0.2366 4.5 (0.2) 4.5 (0.3) 0.1928 0.0830
Protime (s) 11.2 (0.7) 11.3 (0.9) 1.0000 11.4 (0.9) 11.2 (1.1) 0.8138 0.8785
Triglycerides (mg/dL) 166.0 (79.0) 180.0 (184.0) 0.0797 187.0 (165.0) 159.0 (147.0) 0.2764 0.0907
Total cholesterol (mg/dL) 177.0 (58.0) 187.0 (181.0) 0.0029 179.0 (54.0) 169.0 (37.0) 0.7683 0.0176
LDL (mg/dL) 110.0 (45.0) 113.0 (42.0) 0.0450 96.0 (27.0) 102.0 (37.5) 0.8910 0.2352
FFA (mmol/L) 0.6 (0.2) 0.5 (0.3) 0.4894 0.7 (0.2) 0.5 (0.2) 0.0006 0.0559
Glucose (mg/dL) 98.0 (17.0) 101.0 (19.0) 0.8017 107.5 (36.0) 98.5 (24.0) 0.0357 0.2218
Insulin (μU/mL) 29.5 (17.0) 25.5 (19.0) 0.9919 24.5 (25.0) 23.0 (19.0) 0.2798 0.2448
HOMA-IR 7.2 (4.6) 6.3 (4.7) 0.7756 6.2 (8.2) 5.6 (5.9) 0.1756 0.2177
Hgb A1C (%) 5.4 (0.4) 5.4 (0.4) 0.7646 5.6 (0.7) 5.6 (0.7) 0.2188 0.1266
CD4 count (cells/mm3) 644.0 (354.0) 640.0 (469.0) 0.5412 680.0 (383.0) 633.0 (371.0) 0.7500 0.4813

Data are expressed as median (IQR) with p-values from Wilcoxon signed rank test or mean difference with P-value in parentheses. P-values in bold denote statistical significance < 0.05.

BMI, Body Mass Index; AST, Aspartate Aminotransferase; ALT, Alanine Aminotransferase; Hgb A1c, hemoglobin A1c; LDL, Low-Density Lipoprotein; HDL, High-Density Lipoprotein; FFA, Free Fatty Acids; Alk Phos, Alkaline Phosphatase; GGT, Gamma-Glutamyl Transferase; HOMA, homeostatic model assessment; CRP, C-Reactive Protein.

Change in Body Composition by DXA and Novel Whole-Body MRI Measures Including Visceral Adipose and Epicardial Fat Volume

DXA assessment of total % body fat were similar at baseline and at the end of study. The mean ± SD trunk/limb fat mass ratio was higher in the placebo group than the aramchol group at baseline 1.9 ±0.7 and 1.6 ± 0.5 respectively, p=0.04 (Table 1). Other measures of the distribution of fat including Android/Gynoid ratio, % Fat Trunk/% Fat legs, did not differ between groups at baseline and the differences in change over the study period between aramchol and placebo were not significant (Table 4a).

Table 4a.

Changes in Adipose and Lean Indices Between the Aramchol- Versus Placebo-Treated Patients on DXA

Aramchol (n=20) Placebo (n=15) Difference
Baseline Posttreatment P-Value Baseline Posttreatment P-Value P-Value
Adipose Indices
 Total Body % Fat 31.4 (9.2) 31.8 (9.4) 0.4121 31.8 (7.0) 32.4 (7.7) 0.3029 0.5687
 Fat Mass/Height2 (kg/m2) 9.8 (4.9) 10.1 (4.5) 0.3577 8.4 (3.4) 9.3 (2.7) 0.6097 0.9751
 Android/Gynoid Ratio 1.4 (0.3) 1.3 (0.2) 0.2794 1.4 (0.7) 1.4 (0.8) 0.7609 0.1349
 % Fat Trunk/% Fat Legs 1.3 (0.3) 1.3 (0.2) 0.4918 1.6 (0.9) 1.4 (0.7) 0.0007 0.1948
 Trunk/Limb Fat Mass Ratio 1.6 (0.4) 1.6 (0.4) 0.5706 2.0 (0.8) 1.8 (0.8) 0.0317 0.7873
 Est. VAT Mass (g) 957 (501) 982 (537) 0.8983 971 (408) 996 (543) 0.1070 0.2619
 Est. VAT Volume (cm3) 1034 (541) 1061 (583) 0.8983 1050 (441) 1076 (588) 0.1070 0.2637
 Est. VAT Area (cm2) 198 (104) 204 (112) 0.8909 201 (85) 207 (112) 0.1037 0.2626
Lean Indices
 Lean/Height2 (kg/m2) 19.9 (3.3) 19.8 (2.7) 0.9317 19.4 (2.2) 19.0 (3.5) 0.0276 0.2608
 Appen. Lean/Height2 (kg/m2) 8.8 (2.0) 8.7 (1.6) 0.5705 8.1 (1.4) 7.9 (1.9) 0.0145 0.1939

Data are expressed as median (IQR) with p-values from Wilcoxon signed rank test or mean difference with P-value from t-test in parentheses. P-values in bold denote statistical significance < 0.05.

Epicardial fat volume in mm3 was similar in both groups at baseline and increased in both groups over the study period, however, the difference over the study period between aramchol and placebo was not significant.

Further characterization of body composition using MRI confirmed VAT, ASAT and the ratio of visceral to total adiposity were similar between groups at baseline. Assessment of mean ± SD muscle mass with thigh volume was higher in the treatment group than placebo at baseline 12.8 ± 3.2 L and 11.6 ± 2.6 L respectively, p=0.02. There were no significant differences in changes in fat distribution or muscle indices between the aramchol and placebo groups (Table 4b).

Table 4b.

Changes in whole body fat depots and muscle volume by MRI in Aramchol- Versus Placebo-Treated Patients

Aramchol (n=19) Placebo (n=20) Difference
Baseline Posttreatment P-Value Baseline Posttreatment P-Value P-Value
 VAT (l) 6.1 (2.8) 5.6 (3.0) 0.5533 6.7 (2.7) 6.4 (2.3) 0.6280 0.6118
 ASAT (l) 7.9 (4.7) 8.2 (5.9) 0.9530 8.1 (4.3) 8.1 (3.9) 0.6507 0.4959
 VAT + ASAT (l) 14.6 (4.3) 14.3 (4.9) 0.9323 14.9 (4.2) 15.3 (4.1) 0.7906 0.4634
 Visceral fat ratio (%) 42.1 (18.9) 40.9 (13.5) 0.9323 44.1 (15.6) 44.0 (15.5) 0.5678 0.9403
 Thigh volume (l) 12.6 (1.8) 12.5 (1.5) 0.4037 11.8 (2.9) 11.7 (2.9) 0.8063 0.4447
 Muscle ratio (kg/l) 7.2 (1.2) 7.1 (1.1) 0.3894 7.7 (2.3) 7.7 (1.9) 0.8176 0.3661
 Fat storage (l/m2) 5.0 (1.3) 5.0 (1.6) 0.8900 5.0 (1.8) 5.0 (1.2) 0.3529 0.8737
 Visceral Fat Index (l/m2) 2.0 (0.7) 1.9 (0.9) 0.6685 2.3 (0.6) 2.1 (0.6) 0.2121 0.7221
 Fat ratio (%) 53.2 (7.3) 52.9 (8.1) 0.8904 54.4 (11.9) 55.0 (9.5) 0.9661 0.3584
Pericardial Volume (mm3) 183300 (103100) 202800 (75900) 0.2500 136500 (72019) 171050 (176500) 0.0134 0.1633

Data are expressed as median (IQR) with p-values from Wilcoxon signed rank test or mean difference with P-value from t-test in parentheses. N’s are “best case” P-values in bold denote statistical significance < 0.05.

Sensitivity Analysis in Patients with Obesity

Fourteen obese patients in the aramchol group and nine obese placebo patients were assessed in subgroup analysis. ALT was higher in the drug group at baseline 76 IU/L vs 43 IU/L, p=0.01 (Supplemental Table 1a). Mean ALT improved in the aramchol group to 61 IU/L at follow up, p=0.01 (Supplemental Table 1b). The difference in improvement in ALT between the aramchol and placebo groups was not statistically significant, p=0.47. Changes in MRI-PDFF, MRE and CAP were not different between groups, however, liver stiffness measured by VCTE improved more in the placebo (−1.1 kPa) group than the treatment group (+0.3 kPa), p=0.03.

Adverse Events

No patients in the treatment arm discontinued treatment due to an adverse event. One patient in the placebo arm discontinued treatment due to an asymptomatic increase in creatinine phosphokinase level. There were no serious adverse events or deaths. All adverse events were mild, Grade 1, and occurred with similar frequency in the placebo 48% and treatment 40% groups (Supplemental Table 2).

DISCUSSION

In this randomized, double-blind, placebo controlled trial, aramchol was not superior to placebo at reducing hepatic fat measured by MRI-PDFF, improving aminotransferases or liver stiffness by MRE or VCTE. Treatment with aramchol was associated with lower ALT at end of treatment particularly among obese patients with HIV-associated NAFLD. Aramchol was well tolerated with no significant adverse events and a similar safety profile to placebo.

The major innovation applied in the design of this clinical trial was incorporation of advanced MRI based measures of body composition including total visceral adipose tissue volume, total abdominal subcutaneous adipose tissue volume, thigh muscle volume as well as epicardial fat volume assessment before and after treatment in a NAFLD trial. This trial has three-fold innovation in longitudinal body composition analysis in NAFLD. First, this trial utilized MRI-PDFF and MRE, to non-invasively assess longitudinal changes in liver fat content and liver stiffness in co-localized regions. These modalities are the most accurate non-invasive tools for the assessment of liver fat(34) and liver stiffness(35) in primary NAFLD and this study is the first to incorporate them in a trial of HIV-associated NAFLD. Second, this trial evaluated body composition changes with whole-body MRI for the first time in a NAFLD trial. The distribution of obesity, which is not captured by BMI, is associated with cardiovascular risk, metabolic disease activity and the development of NAFLD (36, 37). Clinical trials of NAFLD should consider the potential impact of treatment on other body fat compartments. This is of particular importance in HIV where peripheral fat atrophy and visceral fat accumulation occur at lower BMI and might be independent of ART(38). We utilized multiple modalities to assess fat and muscle compartments throughout the body. Specifically, we utilized the well-established DXA, which is widely available and inexpensive but limited by its two-dimensional assessment of volumes. As more treatment trials of NAFLD incorporate MRI based imaging (39, 40), we successfully incorporated the addition of body composition analysis using an MRI based brief commercial protocol. Third, we assessed epicardial fat volume on magnetic resonance imaging, which may be an independent risk factor for endothelial dysfunction(41) and cardiovascular disease(42), which are the leading cause of death in patients with NAFLD. This trial demonstrates the feasibility of incorporating these measurements into a clinical trial of NAFLD and sets the stage for incorporation of these advanced measures and how to assess them before and after treatment in longitudinal studies in NAFLD.

NAFLD is increasingly common among persons with HIV and may be associated with increased disease severity (5, 43). However, unique factors affecting patients with HIV including changes in the intestinal microbiome (44), and metabolic changes associated with chronic infection and antiretroviral therapy (45) may contribute to a differential response to therapy from patients with primary NAFLD. This is the first clinical trial of pharmacologic intervention for HIV-associated NAFLD. While pre-clinical and clinical studies of aramchol in patients with primary NAFLD demonstrated promising results, including improvement in hepatic steatosis, this study showed no benefit on hepatic fat fraction by MRI-PDFF at 12 weeks.

While we performed in-depth, longitudinal, non-invasive assessments of liver and body composition we acknowledge certain limitations to this study. The study did not include liver histology, which may have limited the ability to detect an improvement in disease activity, particularly, related to the improvement in ALT seen in the aramchol group. However, currently, early phase studies of NAFLD have utilized highly accurate MRI based imaging to accurately characterize changes in hepatic fat content and liver stiffness. Furthermore, MRI-PDFF may be more accurate than liver histology for detecting quantitative changes in hepatic steatosis and the putative mechanism of aramchol suggested a strong effect on liver fat content, which was recently demonstrated to be associated with histologic disease progression (34, 46). Furthermore, the trial period was short, which may have limited detection of changes in liver stiffness, however, changes in the primary endpoint, hepatic fat content, are dynamic and had been demonstrated in a previous trial of aramchol for the treatment of primary NAFLD (13). Finally, while our sample size estimate was reasonable based on a previous phase 2a study of patients with primary NAFLD(13), our negative results could be secondary to a potential type II error, particularly if the effect size of aramchol is more modest than estimated. Importantly, this work will help inform sample size estimates for future studies in HIV-associated NAFLD.

In conclusion, aramchol was not superior to placebo in reducing liver fat in patients with HIV-associated NAFLD. Aramchol was well tolerated and patients in the treatment group had a significant reduction in ALT. There were no off-target effects of aramchol on body composition measured by advanced, whole-body MRI. This trial also demonstrates that noninvasive assessment of body composition is feasible in NAFLD trials.

Supplementary Material

Supplementary Material

Acknowledgements:

MRI based body compositional analysis provided by AMRA Medical

Funding: Supported by an investigator initiated study grant to R.L by Galmed. Funding provided by: Atlantic Philanthropies, Inc, the John A. Hartford Foundation, RL serves as co-PIs on the grant R01-DK106419. VA is supported by the AASLD Foundation Clinical and Translational Research Award. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Abbreviations:

SCD1

stearoyl-coenzyme-A-desaturase-1

NAFLD

Non-alcoholic fatty liver disease

HIV

human immunodeficiency virus

MRI-PDFF

magnetic resonance imaging-proton density fat fraction

MRE

magnetic resonance elastography

VCTE

vibration controlled transient elastography

MRI

magnetic resonance imaging

DXA

Dual-Energy X-ray Absorptiometry

MRS

magnetic resonance sprectroscopy

NASH

nonalcoholic steatohepatitis

OGTT

oral glucose tolerance test

ROI

region of interest

HOMA-IR

homeostatic model assessment for insulin resistance

ADIPO-IR

adipose insulin resistance

FFA

free fatty acids

BMI

body mass index

UCSD

University of San Diego

Footnotes

Conflict of interests: Rohit Loomba: Dr. Loomba serves as a consultant or advisory board member for Bird Rock Bio, Celgene, Enanta, GRI Bio, Madrigal, Metacrine, NGM, Receptos, Sanofi, Arrowhead Research, Galmed, NGM, GIR, Inc. and Metacrine, Inc. In addition, his institution has received grant support from Allergan, BMS, BI, Daiichi-Sankyo Inc., Eli-Lilly, Galectin, Galmed, GE, Genfit, Intercept, Janssen Inc, Madrigal, Merck, NGM, Pfizer, Prometheus, Siemens, and Sirius. He is also co-founder of Liponexus Inc.

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