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Ducker, G. S.

Publications and source records attributed to Ducker, G. S..

4 recordsLinked to original sources

Integrating molecular and clinical variables to predict myocardial recovery

Mechanical unloading and circulatory support with left ventricular assist devices (LVADs) mediate significant myocardial improvement in a subset of advanced heart failure (HF) patients. The clinical and biological phenomena associated with cardiac recovery are under intensive investigation. Left ventricular (LV) apical tissue, alongside clinical data, were collected from HF patients at the time of LVAD implantation (n=208). RNA was isolated and mRNA transcripts were identified through RNA sequencing and confirmed with RT-qPCR. To our knowledge this is the first study to combine transcriptomic and clinical data to derive predictors of myocardial recovery. We used a bioinformatic approach to integrate 59 clinical variables and 22,373 mRNA transcripts at the time of LVAD implantation for the prediction of post-LVAD myocardial recovery defined as LV ejection fraction (LVEF) [≥]40% and LV end-diastolic diameter (LVEDD) [≤]5.9cm, as well as functional and structural LV improvement independently by using LVEF and LVEDD as continuous variables, respectively. To substantiate the predicted variables, we used a multi-model approach with logistic and linear regressions. Combining RNA and clinical data resulted in a gradient boosted model with 80 features achieving an AUC of 0.731{+/-}0.15 for predicting myocardial recovery. Variables associated with myocardial recovery from a clinical standpoint included HF duration, pre-LVAD LVEF, LVEDD, and HF pharmacologic therapy, and LRRN4CL (ligand binding and programmed cell death) from a biological standpoint. Our findings could have diagnostic, prognostic, and therapeutic implications for advanced HF patients, and inform the care of the broader HF population. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=170 HEIGHT=200 SRC="FIGDIR/small/589326v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@17f0503org.highwire.dtl.DTLVardef@2231c1org.highwire.dtl.DTLVardef@f0ac56org.highwire.dtl.DTLVardef@c278f3_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

Enhancing mitochondrial pyruvate metabolism ameliorates myocardial ischemic reperfusion injury.

The established clinical therapy for the treatment of acute myocardial infarction is primary percutaneous coronary intervention (PPCI) to restore blood flow to the ischemic myocardium. PPCI is effective at reperfusing the ischemic myocardium, however the rapid re-introduction of oxygenated blood also can cause ischemia-reperfusion (I/R) injury. Reperfusion injury is the culprit for up to half of the final myocardial damage, but there are no clinical interventions to reduce I/R injury. We previously demonstrated that inhibiting the lactate exporter, monocarboxylate transporter 4 (MCT4), and re-directing pyruvate towards oxidation can blunt isoproterenol-induced hypertrophy. Based on this finding, we hypothesized that the same pathway might be important during I/R. Here, we establish that the pyruvate-lactate metabolic axis plays a critical role in determining myocardial salvage following injury. Post-I/R injury, the mitochondrial pyruvate carrier (MPC), required for pyruvate oxidation, is upregulated in the surviving myocardium following I/R injury. MPC loss in cardiomyocytes caused more cell death with less myocardial salvage, which was associated with an upregulation of MCT4 in the myocardium at risk of injury. We deployed a pharmacological strategy of MCT4 inhibition with a highly selective compound (VB124) at the time of reperfusion. This strategy normalized reactive oxygen species (ROS), mitochondrial membrane potential ({Delta}{psi}), and Ca2+, increased pyruvate entry to TCA cycle, and improved myocardial salvage and functional outcomes following I/R injury. Altogether, our data suggest that normalizing the pyruvate-lactate metabolic axis via MCT4 inhibition is a promising pharmacological strategy to mitigate I/R injury. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/577463v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@1a7a9b8org.highwire.dtl.DTLVardef@779e0aorg.highwire.dtl.DTLVardef@128d1f3org.highwire.dtl.DTLVardef@efc1bb_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

Phospholipid isotope tracing reveals β-catenin-driven suppression of phosphatidylcholine metabolism in hepatocellular carcinoma

Background and AimsActivating mutations in the CTNNB1 gene encoding {beta}-catenin are among the most frequently observed oncogenic alterations in hepatocellular carcinoma (HCC). HCC with CTNNB1 mutations show profound alterations in lipid metabolism including increases in fatty acid oxidation and transformation of the phospholipidome, but it is unclear how these changes arise and whether they contribute to the oncogenic program in HCC. MethodsWe employed untargeted lipidomics and targeted isotope tracing to quantify phospholipid production fluxes in an inducible human liver cell line expressing mutant {beta}-catenin, as well as in transgenic zebrafish with activated {beta}-catenin-driven HCC. ResultsIn both models, activated {beta}-catenin expression was associated with large changes in the lipidome including conserved increases in acylcarnitines and ceramides and decreases in triglycerides. Lipid flux analysis in human cells revealed a large reduction in phosphatidylcholine (PC) production rates as assayed by choline tracer incorporation. We developed isotope tracing lipid flux analysis for zebrafish and observed similar reductions in phosphatidylcholine synthesis flux accomplished by sex-specific mechanisms. ConclusionsThe integration of isotope tracing with lipid abundances highlights specific lipid class transformations downstream of {beta}-catenin signaling in HCC and suggests future HCC-specific lipid metabolic targets. SynopsisIn this work, we show by lipid specific isotope tracing that mutations in the oncogene CTNNB1 leads to conserved changes in lipid metabolism in hepatocellular carcinoma. These include the stimulation of fatty acid oxidation and a suppression of phosphorylcholine synthesis.

cancer biology↗

One-carbon Pathways and Methylation Potential in Glutamatergic Neurons Regulate Behavioral Alcohol Responses

Despite the enormous harms of alcohol use disorders (AUDs), many mechanisms, as well as effective prevention or treatment strategies remain elusive. Genetic factors dictate a majority of AUD risk. These risk factors can manifest as reduced naive sensitivity to alcohols intoxicating effects and increased functional tolerance, i.e., brain-mediated decreases in sensitivity upon repeat exposure. The underlying neurobiology of how AUD-associated genes alter these endophenotypes remains poorly understood. Genes implicated in AUDs include epigenetic modifiers, such as histone demethylases, including Kdm3. We previously showed that whole-body and neuronal Kdm3 strongly affect ethanol sensitivity and tolerance in Drosophila. Here, we investigate the mechanisms of these effects, and, by extension, mechanisms of sensitivity and tolerance. RNA-seq and pathway analysis on Kdm3KO flies revealed disproportionate upregulation of genes involved in amino acid metabolism, including 1-carbon pathways. We show that acute amino acid feeding modulates sensitivity and tolerance in a Kdm3-dependent manner. Global manipulation of 1-carbon genes, especially glycine N-methyltransferase (Gnmt), glycine decarboxylase (Gldc), and sarcosine dehydrogenase (Sardh), alters alcohol sensitivity and tolerance. These changes in alcohol responses are likely mediated by global glycine levels (a substrate of these enzymes) rather than by 1-carbon input. Conversely, neuronal manipulations of 1-carbon pathways change alcohol sensitivity and tolerance in a pattern that suggests a mechanism through S-adenosyl methionine (SAM), a 1-carbon metabolite that is the universal methyl donor required for epigenetic methylation. Increasing SAM production specifically in glutamatergic neurons increases sensitivity and tolerance. Together, these findings reveal distinct mechanisms affecting alcohol sensitivity and tolerance globally (via glycine) and neuronally (via SAM), thus revealing an important and complex role of 1-carbon metabolism in mediating AUD phenotypes.

neuroscience↗