Background 13C tracer analysis is increasingly used to monitor cellular metabolism in vivo and in intact cells, but data interpretation is still the key element to unveil the complexity of metabolic activities. The distinct 13C labeling patterns (e.g., M + 1 species in vivo but not in vitro) of metabolites from [U-13C]-glucose or [U-13C]-glutamine tracing in vivo and in vitro have been previously reported by multiple groups. However, the reason for the difference in the M + 1 species between in vivo and in vitro experiments remains poorly understood. Methods We have performed [U-13C]-glucose and [U-13C]-glutamine tracing in sarcoma-bearing mice (in vivo) and in cancer cell lines (in vitro). 13C enrichment of metabolites in cultured cells and tissues was determined by LC coupled with high-resolution mass spectrometry (LC-HRMS). All p-values are obtained from the Student’s t-test two-tailed using GraphPad Prism 8 unless otherwise noted. Results We observed distinct enrichment patterns of tricarboxylic acid cycle intermediates in vivo and in vitro. As expected, citrate M + 2 or M + 4 was the dominant mass isotopologue in vitro. However, citrate M + 1 was unexpectedly the dominant isotopologue in mice receiving [U-13C]-glucose or [U-13C]-glutamine infusion, but not in cultured cells. Our results are consistent with a model where the difference in M + 1 species is due to the different sources of CO2 in vivo and in vitro, which was largely overlooked in the past. In addition, a time course study shows the generation of high abundance citrate M + 1 in plasma of mice as early as few minutes after [U-13C]-glucose infusion. Conclusions Altogether, our results show that recycling of endogenous CO2 is substantial in vivo. The production and recycling of 13CO2 from the decarboxylation of [U-13C]-glucose or [U-13C]-glutamine is negligible in vitro partially due to dilution by the exogenous HCO3−/CO2 source, but in vivo incorporation of endogenous 13CO2 into M + 1 metabolites is substantial and should be considered. These findings provide a new paradigm to understand carbon atom transformations in vivo and should be taken into account when developing mathematical models to better reflect carbon flux.

Introduction Data-dependent acquisition (DDA) is the most commonly used MS/MS scan method for lipidomics analysis on orbitrap-based instrument. However, MS instrument associated software decide the top N precursors for fragmentation, resulting in stochasticity of precursor selection and compromised consistency and reproducibility.We introduce a novel workflow using biologically relevant lipids to construct inclusion list for data-independent acquisition (DIA), named as BRI-DIA workflow. ObjectivesTo ensure consistent coverage of biologically relevant lipids in LC-MS/MSbased lipidomics analysis. Methods Biologically relevant ion list was constructed based on LIPID MAPS and lipidome atlas in MS-DIAL 4. Lipids were extracted from mouse tissues and used to assess different MS/MS scan workflow (DDA, BRI-DIA, and hybrid mode) on LC-Orbitrap Exploris 480 mass spectrometer.Results DDA resulted in more MS/MS events, but the total number of unique lipids identified by three methods (DDA, BRI-DIA, and hybrid MS/MS scan mode) is comparable (580 unique lipids across 44 lipid subclasses in mouse liver). Major cardiolipin molecular species were identified by data generated using BRI-DIA and hybrid methods and allowed calculation of cardiolipin compositions, while identification of the most abundant cardiolipin CL72:8 was missing in data generated using DDA method, leading to wrong calculation of cardiolipin composition. ConclusionThe method of using inclusion list comprised of biologically relevant lipids in DIA MS/MS scan is as efficient as traditional DDA method in profiling lipids, but offers better consistency of lipid identification, compared to DDA method. This study was performed using Orbitrap Exploris 480, and we will further evaluate this workflow on other platforms, and if verified by future work, this biologically relevant ion fragmentation workflow could be routinely used in many studies to improve MS/MS identification capacities.

Chaperones and autophagy are components of the protein quality control system that contribute to the management of proteins that are misfolded and aggregated. Here, we use yeast prions, which are self-perpetuating aggregating proteins, as a means to understand how these protein quality control systems influence aggregate loss. Chaperones, such as Hsp104, fragment prion aggregates to generate more prion seeds for propagation. While much is known about the role of chaperones, little is known about how other quality control systems contribute to prion propagation. We show that the aprotic solvent dimethyl sulfoxide (DMSO) cures a range of [PSI + ] prion variants, which are related to several misfolded aggregated conformations of the Sup35 protein. Our studies show that DMSO-mediated curing is quicker and more efficient than guanidine hydrochloride, a prion curing agent that inactivates the Hsp104 chaperone. Instead, DMSO appears to induce Hsp104 expression. Using the yTRAP system, a recently developed transcriptional reporting system for tracking protein solubility, we found that DMSO also rapidly induces the accumulation of soluble Sup35 protein, suggesting a potential link between Hsp104 expression and disassembly of Sup35 from the prion aggregate. However, DMSO-mediated curing appears to also be associated with other quality control systems. While the induction of autophagy alone does not lead to curing, we found that DMSO-mediated curing is dramatically impaired in autophagy related (atg) gene mutants, suggesting that other factors influence this DMSO mechanism of curing. Our data suggest that DMSO-mediated curing is not simply dependent upon Hsp104 overexpression alone, but may further depend upon other aspects of proteostasis.

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Objectives Recently fructose has been linked to the development of Nonalcoholic Fatty Liver Disease (NAFLD), but the mechanisms behind the progression remain to be elucidated. Kupffer cells have been identified as regulators of hepatic inflammation and extracellular matrix (ECM) proteins. Activated macrophages are known to express tissue inhibitor of metalloproteinase (TIMP1), which inhibits matrix metalloproteinase 9 (MMP9) activity of reconstructing ECM which leads to fibrosis. In humans and mouse models, TIMP1 expression is positively correlated with the progression of NAFLD. Based on these findings, we hypothesize that fructose regulates TIMP1 gene expression in activated proinflammatory macrophages. Methods Using an in vitro model of J774 macrophages and primary Kupffer cells, cells were treated to induce an M1 phenotype in the presence of glucose or fructose. Cells were harvested for RNA and RT-PCR was conducted to measure ECM gene expression. Isolated Kupffer cells were collected from C57BL/6J mice fed a  high fat diet (HFD) supplemented with 30% fructose or 30% glucose and analyzed for ECM expression. To examine fructose uptake and intra- and extracellular metabolites, mass spectrophotometry and nuclear magnetic resonance was conducted. Results Timp1 gene expression was significantly increased in J77.4 cells treated with fructose compared to glucose. Surprisingly, fructose treatment decreased Mmp9 gene expression. Likewise, fructose treatment increased TIMP1 protein expression in isolated Kupffer cells. In vivo, isolated hepatic macrophages from mice fed HF and high fructose diet had elevated Timp1 gene expression compared to mice fed high glucose diet. Extracellular levels of lactate decreased by 1.5-fold in fructose treated J77.4 cells compared to glucose. Metabolites involved in the TCA cycle and mitochondrial function were decreased when treated with fructose compared to glucose in non-activated macrophages. However, fructose treatment increased intracellular methanol and acetate levels in M1 macrophages compared to glucose. Conclusions Our data suggest that fructose upregulates Timp1 expression and possibly decreases mitochondrial function while increasing acetate and methanol production, identifying new mechanisms by which fructose drives the progression of NAFLD. Funding Sources Kenan Institute North Carolina University.

Introduction Despite the well-recognized health benefits, the mechanisms and site of action of metformin remains elusive. Metformin-induced global lipidomic changes in plasma of animal models and human subjects have been reported. However, there is a lack of systemic evaluation of metformin-induced lipidomic changes in different tissues. Metformin uptake requires active transporters such as organic cation transporters (OCTs), and hence, it is anticipated that metformin actions are tissue-dependent. In this study, we aim to characterize metformin effects in non-diabetic male mice with a special focus on lipidomics analysis. The findings from this study will help us to better understand the cell-autonomous (direct actions in target cells) or non-cell-autonomous (indirect actions in target cells) mechanisms of metformin and provide insights into the development of more potent yet safe drugs targeting a particular organ instead of systemic metabolism for metabolic regulations without major side effects. Objectives To characterize metformin-induced lipidomic alterations in different tissues of non-diabetic male mice and further identify lipids affected by metformin through cell-autonomous or systemic mechanisms based on the correlation between lipid alterations in tissues and the corresponding in-tissue metformin concentrations. Methods Lipids were extracted from tissues and plasma of male mice treated with or without metformin in drinking water for 12 days and analyzed using MS/MS scan workflow (hybrid mode) on LC-Orbitrap Exploris 480 mass spectrometer using biologically relevant lipids-containing inclusion list for data-independent acquisition (DIA), named as BRI-DIA workflow followed by data-dependent acquisition (DDA), to maximum the coverage of lipids and minimize the negative effect of stochasticity of precursor selection on experimental consistency and reproducibility. Results Lipidomics analysis of 6 mouse tissues and plasma using MS/MS combining BRI-DIA and DDA allowed a systemic evaluation of lipidomic changes induced by metformin in different tissues. We observed that 1) the degrees of lipidomic changes induced by metformin treatment overly correlated with tissue concentrations of metformin; 2) the impact on lysophosphorylcholine and cardiolipins was positively correlated with tissue concentrations of metformin, while neutral lipids such as triglycerides did not correlate with the corresponding tissue metformin concentrations. Conclusion The data collected in this study from non-diabetic mice with 12-day metformin treatment suggest that the overall metabolic effect of metformin is positively correlated with tissue concentrations and the effect on individual lipid subclass is via both cell-autonomous mechanisms (cardiolipins and lysoPC) and non-cell-autonomous mechanisms (triglycerides).

13C tracing analysis is increasingly used to monitor cellular metabolism in vivo and in intact cells, but data interpretation is still the key element to unveil the complexity of metabolic activities. We have performed [U-13C]-glucose and [U-13C]-glutamine tracing in sarcoma-bearing mice (in vivo) and in cancer cell lines (in vitro). 13C enrichment of metabolites in cultured cells and tissues was determined by liquid chromatography coupled with high-resolution mass spectrometer (LC-HRMS). As expected, citrate M+2 or M+4 is the dominant mass isotopologue in vitro. However, citrate M+1 was unexpectedly the dominant isotopologue in mice receiving [U-13C]-glucose or [U-13C]-glutamine infusion. One plausible explanation is that 13CO2 produced from the oxidation of 13C tracers in vitro is negligible due to the dilution of HCO3- supplemented to cell culture when sodium bicarbonante is used and diffusible volume of CO2 in the culture incubator, while endogenous 13CO2 in vivo is substantial and is fixed into the TCA cycle, purine, and serine, resulting in M+1 isotopologues. A time course study shows the generation of high abundance citrate M+1 early in plasma, which may serve as a potent non-invasive biomarker of tissue pyruvate carboxylase activity. Altogether, our results show that recycling of endogenous CO2 is substantial in vivo and provides important insights into the experimental design and data interpretation of 13C tracing assays.

Introduction Data-dependent acquisition (DDA) is the most commonly used MS/MS scan method for lipidomics analysis on orbitrap-based instrument. However, MS instrument associated software decide the top N precursors for fragmentation, resulting in stochasticity of precursor selection and compromised consistency and reproducibility. We introduce a novel workflow using biologically relevant lipids to construct inclusion list for data-independent acquisition (DIA), named as BRI-DIA workflow. Objectives To ensure consistent coverage of biologically relevant lipids in LC-MS/MS-based lipidomics analysis. Methods Biologically relevant ion list was constructed based on LIPID MAPS and lipidome atlas in MS-DIAL 4. Lipids were extracted from mouse tissues and used to assess different MS/MS scan workflow (DDA, BRI-DIA, and hybrid mode) on LC-Orbitrap Exploris 480 mass spectrometer. Results DDA resulted in more MS/MS events, but the total number of unique lipids identified by three methods (DDA, BRI-DIA, and hybrid MS/MS scan mode) is comparable (580 unique lipids across 44 lipid subclasses in mouse liver). Major cardiolipin molecular species were identified by data generated using BRI-DIA and hybrid methods and allowed calculation of cardiolipin compositions, while identification of the most abundant cardiolipin CL72:8 was missing in data generated using DDA method, leading to wrong calculation of cardiolipin composition. Conclusion The method of using inclusion list comprised of biologically relevant lipids in DIA MS/MS scan is as efficient as traditional DDA method in profiling lipids, but offers better consistency of lipid identification, compared to DDA method. This study was performed using Orbitrap Exploris 480, and we will further evaluate this workflow on other platforms, and if verified by future work, this biologically relevant ion fragmentation workflow could be routinely used in many studies to improve MS/MS identification capacities.