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Leitner, B. P.

Publications and source records attributed to Leitner, B. P..

3 recordsLinked to original sources

Tissue-Specific and Interorgan Metabolic Reprogramming Maintains Tolerance to Sepsis

Reprogramming metabolism is of great therapeutic interest for reducing morbidity and mortality during sepsis-induced critical illness1. Disappointing results from randomized controlled trials targeting glutamine and antioxidant metabolism in patients with sepsis have begged for both identification of new metabolic targets, and a deeper understanding of the metabolic fate of glutamine at the systemic and tissue-specific manner2-4. In critically ill patients versus elective surgical controls, skeletal muscle transcriptional metabolic reprogramming is comprised of reduced expression of genes involved in mitochondrial metabolism, electron transport, and glutamate transport, with concomitant increases in glutathione cycling, glutamine, branched chain, and aromatic amino acid transport. To analyze putative interorgan communications during sepsis, we performed systemic and tissue specific metabolic phenotyping in a murine polymicrobial sepsis model, cecal ligation and puncture. In the setting of drastically elevated inflammatory cytokines, we observed >10% body weight loss, >50% reductions in oxygen consumption and carbon dioxide production, and near full suppression of voluntary activity for the 48 hours following sepsis as compared to sham-operated controls. We found increased correlations in the metabolome between liver, kidney, and spleen, with drastic loss of correlations between the heart and quadriceps metabolome and all other organs, pointing to a shared metabolic signature within vital abdominal organs, and unique metabolic signatures for skeletal and cardiac muscle during sepsis. A lowered GSH:GSSG and elevated AMP:ATP ratio in the liver underlie the significant upregulation of isotopically labeled glutamines contribution to TCA anaplerosis and glutamine-derived glutathione biosynthesis; meanwhile, the skeletal muscle and spleen were the only organs where glutamines contribution to the TCA cycle was significantly suppressed. These results highlight tissue-specific mitochondrial reprogramming, rather than global mitochondrial dysfunction, as a mechanistic consequence of sepsis. Using a multi-omic approach, we demonstrate a model by which sepsis-induced proteolysis fuels the livers production of anaplerotic substrates and the antioxidant glutathione to sustain tolerance to sepsis.

physiology↗

Gene Expression and Tracer-Based Metabolic Flux Analysis Reveals Tissue-Specific Metabolic Scaling in vitro, ex vivo, and in vivo

Metabolic scaling, the inverse correlation of metabolic rates to body mass, has been appreciated for more than 80 years. Studies of metabolic scaling have almost exclusively been restricted to mathematical modeling of oxygen consumption. The possibility that other metabolic processes scale with body size has not been studied. To address this gap in knowledge, we employed a systems approach spanning from transcriptomics to in vitro and in vivo tracer-based flux. Gene expression in livers of five species spanning a 30,000-fold range in mass revealed differential expression of genes related to cytosolic and mitochondrial metabolic processes, in addition to detoxication of oxidative damage. This suggests that transcriptional scaling of damage control mechanisms accommodates increased oxidative metabolism in smaller species. To determine whether flux through key implicated metabolic pathways scaled, we applied stable isotope tracer methodology to study multiple cellular compartments, tissues, and species. Comparing mice and rats, we demonstrate that while scaling of metabolic fluxes is not observed in the cell-autonomous setting, it is present in liver slices and in vivo. Together, these data reveal that metabolic scaling extends beyond oxygen consumption to numerous other metabolic pathways, and is likely regulated at the level of gene expression and substrate supply.

physiology↗

Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma

BackgroundThe relationship between systemic metabolism, immune function, and lung cancer is complex and remains poorly defined. Seemingly paradoxically, overweight and obesity confer an improved response to immune checkpoint inhibition in non-small cell lung cancer (NSCLC); however, it is not known whether excess body weight or adiposity impacts the immunometabolic tumor microenvironment. MethodsUtilizing three complementary National Cancer Institute-funded open-source databases containing 18F-fluorodeoxyglucose positron-emission tomography/computed tomography (PET-CT) images for tumor and tissue glucose uptake, adipose tissue and skeletal muscle mass, histology annotated with tumor infiltrating leukocytes, and tumor RNA sequencing, we performed a retrospective cross-sectional analysis to examine phenotypic, metabolic, and genomic intersections of adiposity and tumor immune-metabolism in patients with lung adenocarcinoma (LUAD) versus squamous cell carcinoma (LUSC). ResultsOur data reveal distinct immunometabolomic features of LUSC as compared to LUAD: visceral fat content was negatively correlated with both tumor glucose uptake and leukocyte infiltration. Subcutaneous and visceral adiposity conferred different effects on the tumor genetic landscapes in both tumor types. LUSC tumors showed greater gene expression pathways related to pyruvate, glucose, amino acid, and lipid metabolism, in addition to significantly greater 18F-FDG uptake compared with LUAD, suggesting deeper metabolic regulation within the LUSC tumor microenvironment. ConclusionsSeveral immunometabolomic characteristics of LUSC and LUAD differ, including tumor glucose uptake and the associated metabolic pathways in the tumor, as well as the impact of visceral adiposity on tumor metabolism. These data may highlight opportunities to advance mechanistically targeted precision medicine approaches by better understanding the interplay between metabolic, immunologic, and genomic factors in lung cancer treatment.

cancer biology↗