Citations

SummaryBackgroundAlcohol use and alcohol‐associated liver disease (ALD) burden are increasing in young individuals.AimTo assess host factors associated with this burden.MethodsNational Health and Nutrition Examination Survey (NHANES), National Inpatient Sample (NIS), and United Network for Organ Sharing (UNOS) databases (2006‐2016) were used to identify individuals with harmful alcohol use, ALD‐related admissions, and ALD‐related LT listings respectively.ResultsOf 15 981 subjects in NHANES database, weighted prevalence of harmful alcohol use was 17.7%, 29.3% in <35 years (G1) versus 16.9% in 35‐64 years (G2) versus 5.1% in ≥65 years (G3). Alcohol use was about 11 and 4.7 folds higher in G1 and G2 versus G3, respectively. Male gender and Hispanic race associated with harmful alcohol use. Of 593 600 ALD admissions (5%, 77%, and 18% in G1‐G3 respectively), acute on chronic liver failure (ACLF) occurred in 7.2%, (7.2 in G2 vs 6.7% in G1 and G3, P < 0.001). After controlling for other variables, ACLF development among ALD hospitalizations was higher by 14% and 10% in G1 and G2 versus G3, respectively. Female gender and Hispanic race were associated with increased ACLF risk by 8% and 17% respectively. Of 20,245 ALD LT listings (3.4%, 84.4%, and 12.2% in G1‐G3 respectively), ACLF occurred in 28% candidates. Risk of severe (grade 2 or 3) ACLF was higher by about 1.7 fold in G1, 1.5 fold in females and 20% in Hispanics.ConclusionYoung age, female gender, and Hispanic race are independently associated with ALD‐related burden and ACLF in the United States. If these findings are validated in prospective studies, strategies will be needed to reduce alcohol use in high risk individuals to reduce burden from ALD.

SummaryBackgroundPrevious studies have demonstrated an association between nonselective beta‐blockers (NSBBs) and lower risk of hepatocellular carcinoma (HCC) in cirrhosis. However, there has been no population‐based study investigating the risk of HCC among cirrhotic patients treated using carvedilol.AimsTo determine the risk of HCC among cirrhotic patients with NSBBs including carvedilol.MethodsThis retrospective cohort study utilised the Cerner Health Facts database in the United States from 2000 to 2017. Kaplan‐Meier estimate, Cox proportional hazards regression, and propensity score matching (PSM) were used to test the HCC risk among the carvedilol, nadolol, and propranolol groups compared with no beta‐blocker group.ResultsThe final cohort comprised 107 428 eligible patients. The 100‐month cumulative HCC incidence of NSBBs was significantly lower than the no beta‐blocker group (carvedilol (11.24%) vs no beta‐blocker (15.69%), nadolol (27.55%) vs no beta‐blocker (32.11%), and propranolol (26.17%) vs no beta‐blocker (28.84%) (P values < 0.0001). NSBBs were associated with a significantly lower risk of HCC (Hazard ratio: carvedilol 0.61 (95% CI 0.51‐0.73), nadolol 0.74 (95% CI 0.63‐0.87), propranolol 0.75 (95% CI 0.66‐0.84) after PSM in the multivariate cox analysis. In subgroup analysis, NSBBs reduced the risk of HCC in cirrhosis with complications and non‐alcoholic cirrhosis.ConclusionsNSBBs, including carvedilol, were associated with a significantly decreased risk of HCC in patients with cirrhosis when compared with no beta‐blocker regardless of complications status. Future randomised‐controlled studies comparing the incidence of HCC among NSBBs should elucidate which NSBB would be the best option to prevent HCC in cirrhosis.

The Vitamin Intervention for Stroke Prevention (VISP) trial was a multi-center, controlled, double blinded clinical trial, designed to determine whether the daily intake of high dose folic acid, vitamins B6 and B12 reduced recurrent cerebral infarction. Baseline post-methionine load homocysteine levels were predictive of recurrent stroke risk in VISP. We have conducted a genome-wide association study (GWAS), investigating 2100 VISP stroke cases required to have homocysteine levels greater than the 25th percentile at enrolment. Using imputation with 1000 genomes and principal component analysis, we were able to detect an association of p≤6.70x10-17 for SNPs within, or flanking, the glycine N-methyltransferase (GNMT) gene and post-methionine load test homocysteine level. Change in homocysteine levels pre and post-methionine load test also resulted in significant GWAS scores in the chromosome 6 region (p = 2.54x10-23, rs7760250). GNMT catalyzes the conversion of S-adenosyl-L-methionine to S-adenosyl-L-homocysteine and sarcosine via the folate one-carbon metabolism pathway. In addition to being an essential component in the conversion of methionine to homocysteine, GNMT plays a significant role in the global epigenetic state as homocysteine is an important methyl donor. This region displays significant linkage disequilibrium, warranting close analysis of the entire GNMT locus in search of both rare and common variants. Cases who carry the minor allele haplotype at associated loci had a higher level of post-methionine load homocysteine (37.69µM/L) than those who carry the major allele haplotype (27.33µM/L), inferring functional differences due to GNMT variants. Taken together these data suggest a clear and important role for GNMT in post-methionine load test homocysteine level, epigenetic state and stroke risk.

Introduction: Obstructive hypertrophic cardiomyopathy (oHCM) consists of a constellation of LV hypercontractility, LV outflow tract obstruction (LVOTO), and impaired relaxation, often resulting in dyspnea and reduced exercise capacity. In healthy dogs, the novel myosin modulator mavacamten (MAVA), decreased LV hypercontractility and improved compliance. In the PIONEER-HCM clinical study, improvements in post-exercise LVOT gradient, exercise capacity, and symptoms were reported. To examine whether MAVA could also limit residual myosin-actin cross-bridges during diastole, and improve LV compliance, its effects on diastolic indices were evaluated. Methods: In PIONEER-HCM, an open-label, multi-site, prospective study, oHCM subjects received MAVA for 12 weeks at either 10-20 mg/d (n = 11, Cohort A; 10 completed) or at 2-5 mg/d (n = 10, Cohort B). Echo-Doppler indices of LV filling and relaxation were compared at baseline to week 12. The p-values are from Wilcoxon signed rank tests, evaluating the distribution of within-subject 12-wk changes from baseline around a null of zero. Results: MAVA reduced hypercontractility in a dose-dependent fashion, with relief of LVOTO in all subjects achieving plasma MAVA concentration >350 ng/ml (data previously reported). There was also an increase in mitral annular velocity during early diastole (e’ lat ). There was a concomitant reduction in E/e’ lat and increase in LV end-diastolic volume (LVEDV) consistent with improved LV compliance (Table). MAVA improved dyspnea score with a trend towards reduction in NT-proBNP. Conclusions: Administration of MAVA is associated with improvement in measures of myocardial relaxation (e’ lat ) and compliance in parallel with reduction in LVOT gradient. These findings are consistent with preclinical findings reported in healthy dogs and support additional evaluation of MAVA in patients with obstructive or non-obstructive HCM.

Abstract Accurate estimation of mammographic breast density could aid in augmenting breast cancer risk assessment for women undergoing breast screening with full-field digital mammography (FFDM). Breast density can be estimated from FFDM and is most commonly assessed in the clinic by visual grading into one of the four categories defined by the American College of Radiology BI-RADS. However, BI-RADS density assessment is highly subjective and does not provide a quantitative, continuous measure of percent density (PD), which would allow for more refined risk stratification and assessment of density changes. Here, we introduce Deep-LIBRA, an artificial intelligence (AI) tool for fully-automated assessment of breast PD from FFDM images. Two key modules form the core of Deep-LIBRA: 1) an implementation of a modified U-Net architecture for breast segmentation and 2) a radiomic machine learning module that performs PD estimation within the segmented breast region. To develop and validate Deep-LIBRA, raw (i.e., "For Processing") FFDM images (Selenia Dimensions, Hologic Inc.) acquired at two breast cancer screening practices were retrospectively analyzed. For the breast segmentation module, we used a total of 12,100 FFDM studies from 2,200 individual women and a 90%-10% split-sample training-validation approach, using the Dice coefficient to evaluate the accuracy of Deep-LIBRA versus ground-truth manual breast segmentation. For the PD estimation module we used a total of 3,304 FFDM images from 1,652 individual women; manual PD scores obtained with the widely used Cumulus software were used as the "gold standard" in a three-fold cross-validation setting to assess the accuracy of Deep-LIBRA in PD estimation. PD estimates from Deep-LIBRA were also compared with breast density estimates from the commercially available Volpara software. Breast segmentation had a Dice coefficient of 95.31% when compared to ground-truth manual breast segmentation in the validation set. Deep-LIBRA average differences from ground-truth PD scores in the three cross-validation folds were 4.91%, 4.65%, and 4.22%, while Volpara had corresponding average differences of 6.20%, 6.01%, and 5.94%. Deep-LIBRA PD scores were also significantly different from Volpara PD (t-test p-value &lt; 0.001 in all three folds). Preliminary evaluation results show that Deep-LIBRA is a promising AI approach for accurately assessing PD from FFDM images. Citation Format: Omid Haji Maghsoudi, Scott Christopher, Aimilia Gastounioti, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Winham Stacey, Emily F. Conant, Celine Vachon, Despina Kontos. Deep-LIBRA: An artificial intelligence approach for fully-automated assessment of breast density in digital mammography [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2600.

Spinal cord hemisection at C2 (SH) disrupts descending drive to ipsilateral phrenic motoneurons (PMNs) causing unilateral diaphragm muscle (DIAm) paralysis. Previously, we found a decrease in motoneuron size at 2 weeks post‐SH. Recently, we found neuregulin (NRG) in synaptic boutons surrounding PMNs. NRG is a trophic factor known to regulate development of the neuromuscular junction, but the effect of NRG on motoneurons is unknown. We hypothesized that 1) NRG input to PMNs is supraspinal in origin, and 2) SH disrupts NRG input to PMNs. Adult male Sprague‐Dawley rats underwent SH or sham‐surgery. PMNs were retrogradely labeled by intramuscular injection of Alexa488‐conjugated cholera toxin B. Using laser capture microdissection, we found that PMNs express mRNA for the NRG receptors ErbB2 and ErbB3, providing a functional substrate for a NRG effect. Two weeks post‐SH, labeled PMNs and NRG boutons were imaged using confocal microscopy. PMN morphology and the number of NRG boutons in the vicinity of PMNs were determined using a computerized, semi‐automated reconstruction algorithm. NRG boutons were fairly homogeneously distributed on motoneurons independent of size. Following SH, few NRG boutons were observed. We conclude that 1) NRG input to PMNs derives from a supraspinal source; and 2) SH removes NRG input to PMNs. It is possible that NRG input exerts a trophic influence on PMNs. Supported by NIH grants HL37680, AR51173 and Mayo Clinic

Thiopurine drugs such as 6‐mercaptopurine (6‐MP) and 6‐thioguanine (6‐TG) are effective immunosuppressants and antineoplastic agents. We used a genome‐wide approach to identify genes that might contribute to individual variation in thiopurine response. Basal gene expression profiles, genome‐wide SNP data, and 6‐MP and 6‐TG Cell growth inhibition (GI50) values were generated for 200 Coriell Institute “Human Variation Panel” lymphoblastoid cell lines. Gene expression and genome‐wide SNPs were correlated with GI50 values to identify candidate genes that might contribute to thiopurine response. We identified 104 expression probes and 161 SNPs, as well as 315 gene probes and 579 SNPs that correlated significantly with GI50 values for 6‐MP and 6‐TG, respectively (P<10 −5 and 10 −6 , respectively). Three genes, CD83 , TXNDC13 and SNAP23 , contained SNPs that contributed significantly to both 6‐MP and 6‐TG cytotoxicity and were also significantly associated with expression levels (P<10 −4 ), suggesting a “three‐way model” involving genotype, gene expression and cytotoxicity. GBP5 , a gene with an expression level that correlated negatively with 6‐MP and 6‐TG GI50 values, sensitized leukemia cells when overexpressed. Functional studies of the remainder of the candidate genes are being performed. These results may enhance our ability to predict thiopurine response phenotypes. NIH GM28157.

Neuregulin (NRG) is a nerve derived trophic factor that regulates acetylcholine receptor expression during neuromuscular junction development. NRG also has important trophic effects in the adult central nervous system. We hypothesized that NRG is a trophic factor for phrenic motoneurons. In adult male Sprague‐Dawley rats, we examined NRG‐1 immunoreactivity in the vicinity of phrenic motoneurons. Retrogradely‐labeled phrenic motoneurons were imaged and reconstructed in 3D. NRG‐1 boutons were found mainly around the soma and primary dendrites. The co‐localization of NRG boutons and synaptic markers was determined using multicolor confocal microscopy and a custom‐developed application (Metamorph; Universal Imaging). We found that 94 ± 3% of NRG‐containing boutons resided on synapses, as determined by co‐localization with synaptophysin. In addition, 6 ± 3% of synapses on phrenic motoneurons (within 1 micrometer of soma and primary dendrite surface) expressed NRG. Overall, 13 ± 5 NRG boutons were present at the soma vs. 6 ± 3 at each primary dendrite of a motoneuron.Thus, 57% of NRG‐containing boutons were surrounding the motoneuron soma. In summary, NRG‐1 synaptic boutons are present at phrenic motoneurons in the adult, although its role is presently unknown. Supported by NIH grant AR51173.

Background: The mechanisms responsible for cardiac injury in the early stage of metabolic syndrome (MetS) remain unknown. Mitochondria are intimately associated with myofibrils, where the cytoskeleton functions as a linkage coordinator. We hypothesized that early MetS is characterized by cytoskeletal-mitochondrial disorganization, and that mitoprotection with mitochondria-targeted peptides (MTP) would preserve cytoskeletal-mitochondrial structure and attenuate myocardial injury in early swine MetS. Methods: Pigs were studied after 16wks of diet-induced MetS, MetS treated for the last 4wks with the MTP Elamipretide (0.1mg/kg SC q.d), and Lean controls (n=6 each). Cardiac function (multidetector CT) was assessed in-vivo, and mitochondrial structure (electron microscopy), the mitochondrial inner membrane phospholipid cardiolipin (mass spectrometry), cytoskeletal proteins, oxidative stress, and apoptosis ex-vivo. Results: MetS pigs developed hypertension and insulin resistance, yet cardiac function was preserved. MetS induced loss of desmin and tubulin that was paralleled by mitochondrial disorganization, decreased 18:2 cardiolipin, and increased oxidative stress and apoptosis. MTP slightly improved cardiolipin species profile, restored mitochondrial organization, and upregulated cytoskeletal proteins, attenuating apoptosis and oxidative stress. Conclusion: Early MetS leads to disorganization of the cardiomyocyte cytoskeletal- mitochondrial architecture and cardiac injury. MTP may provide a novel therapeutic potential for improving cardiac injury in early MetS, and potentially preventing future deterioration in cardiac function.