Independent Predictors of Mortality Among Patients With NAFLD Hospitalized With COVID-19 Infection.

The impact of the coronavirus disease 2019 (COVID-19) pandemic among patients with chronic liver disease is unknown. Given the high prevalence of nonalcoholic fatty liver disease (NAFLD), we determined the predictors of mortality and hospital resource use among patients with NAFLD admitted with COVID-19 by using electronic medical records data for adult patients with COVID-19 hospitalized in a multihospital health system who were discharged between March and December 2020. NAFLD was diagnosed by imaging or liver biopsy without other liver diseases. Charlson's comorbidity index (CCI) and Elixhauser comorbidity index (ECI) scores were calculated. In the study sample, among the 4,835 patients hospitalized for COVID-19, 553 had NAFLD (age: 55 ± 16 years, 51% male, 17% White, 11% Black, 58% Hispanic, 8% Asian, 5% from congregated living, 58% obese, 15% morbid obesity [body mass index ≥ 40], 51% type 2 diabetes, 63% hypertension, mean [SD] baseline CCI of 3.9 [3.2], and baseline ECI of 13.4 [11.3]). On admission, patients with NAFLD had more respiratory symptoms, higher body temperature and heart rate, higher alanine aminotransferase and aspartate aminotransferase than non-NAFLD controls (n = 2,736; P < 0.05). Of the patients with NAFLD infected with COVID-19, 3.9% experienced acute liver injury. The NAFLD group had significantly longer length of stay, intensive care unit use, and mechanical ventilation, with a crude inpatient mortality rate of 11%. In multivariate analysis, independent predictors of inpatient mortality among patients with NAFLD infected with COVID-19 were older age, morbid obesity, ECI score ≥ 11, higher Fibrosis-4 Index (FIB-4) score, and oxygen saturation <90% (all P < 0.05), but not sex, race/ethnicity, or any individual comorbidity (all P > 0.05). Conclusion: Patients with NAFLD infected with COVID-19 tend to be sicker on admission and require more hospital resource use. Independent predictors of mortality included higher FIB-4 and multimorbidity scores, morbid obesity, older age, and hypoxemia on admission.

Hepatic sonic hedgehog protein expression measured by computer assisted morphometry significantly correlates with features of non-alcoholic steatohepatitis.

BACKGROUND: Hepatic expression of Sonic Hedgehog (SHH) is associated with Non-alcoholic fatty liver disease (NAFLD) and development of Non-alcoholic steatohepatitis (NASH). Hepatic SHH detection increases with the diagnosis of NASH. This pilot study was designed to confirm that staining for SHH is useful in NASH diagnosis and determine whether quantification of staining by computer assisted morphometry (CAM) can be used to assess severity of ballooning degeneration. METHODS: SHH was detected by immunohistochemistry (IHC) on paraffin-embedded liver sections in subjects (N = 69) with biopsy proven NAFLD and no liver disease (control). Serum samples were also available for these subjects. Post-staining, a digitized image of the section was acquired and an area quantification algorithm was used to quantify the degree of SHH expression. Additionally, circulating M30, M65, and SHH were measured by ELISA. RESULTS: Notably, hepatic SHH expression correlated with histologic ballooning degeneration (rho = 0.62, p < 0.0001), steatosis grade (rho = 0.554, P < 0.001), Mallory-Denk bodies (rho = 0.54, P < 0.001), pericellular fibrosis (rho = 0.527, P < 0.001), and lymphocytic infiltration (rho = 0.435, P < 0.0002). Additionally, hepatic SHH expression correlated with circulating M65 (rho = 0.588, p < 0.0001), and circulating M30 (rho = 0.375, p = 0.001), as well as AST and ALT (rho = 0.43, p = 0.0004, and rho = 0.27, p = 0.03, respectively). Further, serum M30 was almost twice as high in NASH patients compared to non-NASH (539.1 ± 290.8 U/L vs. 287.6 ± 190.5 U/L; p = 0.0002), while M65 was almost three times higher in NASH patients compared to non-NASH (441.2 ± 464.2 U/L vs. 162.8 ± 353.1 U/L, P = 0.0006). Logistic modeling indicates hepatic SHH expression and presence of type 2 diabetes as independent predictors of advanced fibrosis (defined as portal and pericellular fibrosis > 2: OR = 1.986, p = 0.01, and OR = 3.280, p = 0.03, respectively). CONCLUSION: Thus, our findings show quantitation of SHH expression by CAM can provide a tool for quantifying changes in hepatocyte injury and assist in unambiguous staging/grading of NASH. Our study showed minimal interobserver variability using CAM based quantification. Once validated, CAM assessment of hepatic SHH could benefit clinical trials or long term outcomes studies of NASH subjects.

Dysregulation of distal cholesterol biosynthesis in association with relapse and advanced disease in CHC genotype 2 and 3 treated with sofosbuvir and ribavirin.

BACKGROUND & AIMS: Hepatitis C virus (HCV) modulates host lipid metabolism for its replication and lifecycle. Our aims were to assess changes in the serum lipid and distal (post-squalene) cholesterol biosynthesis metabolite profile of HCV genotypes (GT) 2 and 3 patients treated with sofosbuvir+ribavirin. METHODS: Serum samples [baseline, treatment week 12, 4weeks post-treatment] were analyzed for apolipoproteins B and E (apoB/E), total cholesterol, HDL, LDL, and 11 post-squalene sterol metabolites using a GC/MS platform. RESULTS: We selected 127 patients (GT2 n=50, GT3 n=77), 50% cirrhotic patients, and 42% who experienced a virological relapse. At baseline, GT3 patients had lower level of serum lipids, apoB/E, 7-dehydrocholesterol, desmosterol, lathosterol, compared to GT2 (p<0.006). Baseline lathosterol was lower in relapsers with cirrhosis compared to cirrhotic patients with SVR (p=0.003). From baseline to treatment week 12, serum lipids, apoB/E, and key sterol pathway metabolites (7-dehydrocholesterol, desmosterol, lathosterol, lanosterol) increased in GT3. In contrast, in GT2 patients, apoB/E and dihydrolanosterol decreased with viral suppression (p<0.025). At follow-up week 4, cirrhotic SVR patients showed substantially greater increases in apoB and total sterols compared to cirrhotic relapsers regardless of HCV genotype. After adjustment for genotype and gender, baseline lathosterol was independently associated with virologic response (p=0.04). CONCLUSION: HCV GT3 is associated with reduced circulation of lipids involved in the distal cholesterol biosynthesis pathway, resulting in relative hypocholesterolemia. HCV suppression during sofosbuvir+ribavirin restores distal sterol metabolites indicating viral interference with de novo lipogenesis or selective retention by hepatocytes.

Effects of Viral Eradication With Ledipasvir and Sofosbuvir, With or Without Ribavirin, on Measures of Fatigue in Patients With Chronic Hepatitis C Virus Infection.

BACKGROUND & AIMS: Fatigue is a disturbing symptom of chronic hepatitis C virus (HCV) infection. We assessed the effects of sustained virologic response 12 weeks after the end of therapy (SVR12) on fatigue. METHODS: We performed a retrospective analysis of 100 patients with chronic HCV infection who achieved an SVR12 after treatment with ledipasvir and sofosbuvir, with or without ribavirin. Data were collected on fatigue-related patient-reported outcomes (PROs) and assessed by using the Functional Assessment of Cancer Therapy-Fatigue scoring system and the Vitality subscale of Short Form 36. We measured levels of cytokines and growth factors in frozen serum samples collected at baseline, week 12 of treatment, and 4 weeks after treatment. Central fatigue and peripheral or muscle fatigue (PF) were determined by using items from PROs. Serum levels of cytokines, growth factors, serotonin, alanine aminotransferase, and aspartate aminotransferase were measured by using the Bio-Plex, enzyme-linked immunosorbent, and enzymatic assays. RESULTS: Compared with baseline, 4 weeks after the end of treatment, all fatigue-associated PROs improved significantly. Baseline PROs correlated inversely with serum level of interferon-γ; level of platelet-derived growth factor correlated with PF, central fatigue, and total fatigue score. Only PF correlated with serum level of serotonin. At baseline, high PF scores correlated with high serum levels of serotonin and low levels of interleukin-10 and tumor necrosis factor-α. In multivariate analysis, serum level of interleukin-8 was associated with greater fatigue (P < .02). Reductions in levels of chemokine (C-C motif) ligand 2 (also called monocyte chemotactic protein 1) were associated with fatigue after treatment (P = .0165). CONCLUSIONS: In an analysis of data from patients with chronic HCV infection participating in a clinical trial of ledipasvir and sofosbuvir, SVR12 was associated with reduced fatigue, compared with baseline. High baseline serum levels of interferon-γ were associated with fatigue. Reductions in levels of chemokine (C-C motif) ligand 2 were associated with persistent fatigue after SVR12. Central and peripheral fatigue each associated with different biomarkers, suggesting different pathogenic pathways.

Single non-invasive model to diagnose non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH).

BACKGROUND AND AIM: Non-alcoholic steatohepatitis (NASH) is the progressive form of non-alcoholic fatty liver disease (NAFLD). A liver biopsy is considered the "gold standard" for diagnosing/staging NASH. Identification of NAFLD/NASH using non-invasive tools is important for intervention. The study aims were to: develop/validate the predictive performance of a non-invasive model (index of NASH [ION]); assess the performance of a recognized non-invasive model (fatty liver index [FLI]) compared with ION for NAFLD diagnosis; determine which non-invasive model (FLI, ION, or NAFLD fibrosis score [NFS]) performed best in predicting age-adjusted mortality. METHODS: From the National Health and Nutrition Examination Survey III database, anthropometric, clinical, ultrasound, laboratory, and mortality data were obtained (n = 4458; n = 861 [19.3%] NAFLD by ultrasound) and used to develop the ION model, and then to compare the ION and FLI models for NAFLD diagnosis. For validation and diagnosis of NASH, liver biopsy data were used (n = 152). Age-adjusted Cox proportional hazard modeling estimated the association among the three non-invasive tests (FLI, ION, and NFS) and mortality. RESULTS: FLI's threshold score > 60 and ION's threshold score > 22 had similar specificity (FLI = 80% vs ION = 82%) for NAFLD diagnosis; FLI < 30 (80% sensitivity) and ION < 11 (81% sensitivity) excluded NAFLD. An ION score > 50 predicted histological NASH (92% specificity); the FLI model did not predict NASH or mortality. The ION model was best in predicting cardiovascular/diabetes-related mortality; NFS predicted overall or diabetes-related mortality. CONCLUSIONS: The ION model was superior in predicting NASH and mortality compared with the FLI model. Studies are needed to validate ION.

Expression of genes for microRNA-processing enzymes is altered in advanced non-alcoholic fatty liver disease.

BACKGROUND AND AIM: Recently, microRNAs (miRNA) have been linked to the pathogenesis of non-alcoholic fatty liver disease (NAFLD) and its progression to non-alcoholic steatohepatitis (NASH). First transcribed as pri-miRNA, these molecules are further processed by a complex of endonuclear and cytosolic RNA binding molecules to form mature miRNAs. The aim of this study is to investigate mechanisms of miRNA regulation in the visceral adipose of obese NAFLD patients via measuring expression of miRNA processing enzymes and pri-miRNA. METHODS: Total RNAs were extracted from visceral adipose tissue (VAT) samples collected from patients undergoing bariatric surgery. All patients had biopsy-proven NAFLD (NASH patients [n = 12] and non-NASH NAFLD [n = 12]). For each patient, we profiled mRNA levels for three miRNA processing elements (Drosha, DGCR8, and Dicer1) and seven pri-miRNAs (pri-miR-125b-2, pri-miR-16-2, pri-miR-26a-1, pri-miR-26a-2, pri-miR-7-1, pri-miR-7-2, and pri-miR-7-3). RESULTS: Expression of Dicer1, Drosha and DGCR8 was significantly increased within the NASH cohort along with expression of pri-miR-7-1. The presence of focal necrosis on the liver biopsy correlated significantly with levels of Dicer1 and DGRC8. Both NASH and ballooning degeneration of hepatocytes correlated negatively with the expression levels of hsa-miR-125b. Histologic NASH correlated positively with the expression levels of pri-miR-16-2 and pri-miR-7-1. The presence of the hepatocyte's ballooning degeneration in the liver biopsy correlated positively with pri-miR-26a-1 and pri-miR-7-1. The expression profile of pri-miR-125b-2 also correlated positively with body mass index. CONCLUSIONS: Our findings support the hypothesis that VAT-derived miRNA may contribute to the pathogenesis of NASH in obese patients.

Knowledge-based identification of soluble biomarkers: hepatic fibrosis in NAFLD as an example.

The discovery of biomarkers is often performed using high-throughput proteomics-based platforms and is limited to the molecules recognized by a given set of purified and validated antigens or antibodies. Knowledge-based, or systems biology, approaches that involve the analysis of integrated data, predominantly molecular pathways and networks may infer quantitative changes in the levels of biomolecules not included by the given assay from the levels of the analytes profiled. In this study we attempted to use a knowledge-based approach to predict biomarkers reflecting the changes in underlying protein phosphorylation events using Nonalcoholic Fatty Liver Disease (NAFLD) as a model. Two soluble biomarkers, CCL-2 and FasL, were inferred in silico as relevant to NAFLD pathogenesis. Predictive performance of these biomarkers was studied using serum samples collected from patients with histologically proven NAFLD. Serum levels of both molecules, in combination with clinical and demographic data, were predictive of hepatic fibrosis in a cohort of NAFLD patients. Our study suggests that (1) NASH-specific disruption of the kinase-driven signaling cascades in visceral adipose tissue lead to detectable changes in the levels of soluble molecules released into the bloodstream, and (2) biomarkers discovered in silico could contribute to predictive models for non-malignant chronic diseases.

Association of obestatin, ghrelin, and inflammatory cytokines in obese patients with non-alcoholic fatty liver disease.

BACKGROUND: Three protein products of ghrelin gene (acylated ghrelin, des-acylated ghrelin, and obestatin) are involved in appetite stimulation and suppression. Additionally, there is some evidence suggesting their involvement in metabolic and inflammatory pathways which may be implicated in the pathogenesis of non-alcoholic fatty liver disease (NAFLD). The aim of this study was to examine the relationships of ghrelin gene products in patients with NAFLD. METHODS: We included 75 morbidly obese patients with biopsy-proven NAFLD (41 with histologic non-alcoholic steatohepatitis (NASH)) with clinical and laboratory data as well as frozen serum samples from the time of liver biopsy. Fasting serum was assayed for obestatin as well as acylated and des-acyl-ghrelin concentrations using ELISA. Bio-Plex inflammatory cytokine assays were used to profile expression of 17 inflammatory mediators, including IL-6, IL-7, IL-8, G-CSF, CCL2, and MIP-1ß. RESULTS: Patients with NASH had twofold higher concentration of des-acyl-ghrelin than patients with non-NASH (2.58 vs. 1.24 pg/ml, P < 0.02). Ghrelin concentrations in NASH patients with fibrosis stage ≥2 were almost double the concentration of NASH patients with fibrosis stage <2 (8.73 vs. 4.22 pg/ml, P < 0.04). Obestatin levels also increased with the fibrosis stage (2.54 vs. 3.46 pg/ml, P < 0.03). NAFLD patients with higher fibrosis stage had lower IL-7 concentrations (16.89 vs. 10.68 pg/ml, P = 0.014). Obestatin levels at baseline significantly correlated with rate of weight loss after bariatric surgery at various time points. CONCLUSIONS: This study suggests that products of the GHRL gene may be important for the pathogenesis of NASH and fibrosis. Additional confirmatory studies are needed.

Microarrays in cancer research.

Microarray technology has presented the scientific community with a compelling approach that allows for simultaneous evaluation of all cellular processes at once. Cancer, being one of the most challenging diseases due to its polygenic nature, presents itself as a perfect candidate for evaluation by this approach. Several recent articles have provided significant insight into the strengths and limitations of microarrays. Nevertheless, there are strong indications that this approach will provide new molecular markers that could be used in diagnosis and prognosis of cancers. To achieve these goals it is essential that there is a seamless integration of clinical and molecular biological data that allows us to elucidate genes and pathways involved in various cancers. To this effect we are currently evaluating gene expression profiles in human brain, ovarian, breast and hematopoetic, lung, colorectal, head and neck and biliary tract cancers. To address the issues we have a joint team of scientists, doctors and computer scientists from two Virginia Universities and a major healthcare provider. The study has been divided into several focus groups that include; Tissue Bank Clinical & Pathology Laboratory Data, Chip Fabrication, QA/QC, Tissue Devitalization, Database Design and Data Analysis, using multiple microarray platforms. Currently over 300 consenting patients have been enrolled in the study with the largest number being that of breast cancer patients. Clinical data on each patient is being compiled into a secure and interactive relational database and integration of these data elements will be accomplished by a common programming interface. This clinical database contains several key parameters on each patient including demographic (risk factors, nutrition, co-morbidity, familial history), histopathology (non genetic predictors), tumor, treatment and follow-up information. Gene expression data derived from the tissue samples will be linked to this database, which allows us to query the data at multiple levels. The challenge of tissue acquisition and processing is of paramount importance to the success of this venture. A tissue devitalization timeline protocol was devised to ensure sample and RNA integrity. Stringent protocols are being employed to ascertain accurate tumor homogeneity, by serial dissection of each tumor sample at 10 microM frozen sections followed by histopathological evaluation. The multiple platforms being utilized in this study include Affimetrix, Oligo-Chips and custom-designed cDNA arrays. Selected RNA samples will be evaluated on each platform between the groups. Analysis steps will involve normalization and standardization of gene expression data followed by hierarchical clustering to determine co-regulation profiles. The aim of this conjoint effort is to elucidate pathways and genes involved in various cancers, resistance mechanisms, molecular markers for diagnosis and prognosis.