‘Chiral compartmentation’ in metabolism: Enzyme stereo-specificity yielding evolutionary options

Detection of glucose-derived D- and L-lactate in cancer cells by the use of a chiral NMR shift reagent

Background

Excessive lactate production, a hallmark of cancer, is largely formed by the reduction of pyruvate via lactate dehydrogenase (LDH) to l-lactate. Although d-lactate can also be produced from glucose via the methylglyoxal pathway in small amounts, less is known about the amount of d-lactate produced in cancer cells. Since the stereoisomers of lactate cannot be distinguished by conventional ¹H NMR spectroscopy, a chiral NMR shift reagent was used to fully resolve the ¹H NMR resonances of d- and l-lactate.

Methods

The production of l-lactate from glucose and d-lactate from methylglyoxal was first demonstrated in freshly isolated red blood cells using the chiral NMR shift reagent, YbDO3A-trisamide. Then, two different cell lines with high GLO1 expression (H1648 and H 1395) were selected from a panel of over 80 well-characterized human NSCLC cell lines, grown to confluence in standard tissue culture media, washed with phosphate-buffered saline, and exposed to glucose in a buffer for 4 h. After 4 h, a small volume of extracellular fluid was collected and mixed with YbDO3A-trisamide for analysis by ¹H NMR spectroscopy.

Results

A suspension of freshly isolated red blood cells exposed to 5mM glucose produced l-lactate as expected but very little d-lactate. To evaluate the utility of the chiral NMR shift reagent, methylglyoxal was then added to red cells along with glucose to stimulate the production of d-lactate via the glyoxalate pathway. In this case, both d-lactate and l-lactate were produced and their NMR chemical shifts assigned. NSCLC cell lines with different expression levels of GLO1 produced both l- and d-lactate after incubation with glucose and glutamine alone. A GLO1-deleted parental cell line (3553T3) showed no production of d-lactate from glucose while re-expression of GLO1 resulted in higher production of d-lactate.

Conclusions

The shift-reagent-aided NMR technique demonstrates that d-lactate is produced from glucose in NSCLC cells via the methylglyoxal pathway. The biological role of d-lactate is uncertain but a convenient method for monitoring d-lactate production could provide new insights into the biological roles of d- versus l-lactate in cancer metabolism.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40170-021-00267-4.

Chiral discrimination in a mutated IDH enzymatic reaction in cancer: a computational perspective

Chiral discrimination in biological systems, such as L-amino acids in proteins and d-sugars in nucleic acids, has been proposed to depend on various mechanisms, and chiral discrimination by mutated enzymes mediating cancer cell signaling is important in current research. We have explored how mutated isocitrate dehydrogenase (IDH) catalyzes the oxidative decarboxylation of isocitrate to α-ketoglutarate which in turn is converted to d-2-hydroxyglutatrate (d-2HG) as a preferred product instead of l-2-hydroxyglutatrate (l-2HG) according to quantum chemical calculations. Using transition state structure modeling, we delineate the preferred product formation of d-2HG over l-2HG in an IDH active site model. The mechanisms for the formation of d-2HG over l-2HG are assessed by identifying transition state structures and activation energy barriers in gas and solution phases. The calculated reaction energy profile for the formation of d-2HG and l-2HG metabolites shows a 29 times higher value for l-2HG as compared to d-2HG. Results for second-order Møller-Plesset perturbation theory (MP2) do not alter the observed trend based on Density Functional Theory (DFT). The observed trends in reaction energy profile explain why the formation of D-2HG is preferred over l-2HG and reveal why mutation leads to the formation of d-2HG instead of l-2HG. For a better understanding of the observed difference in the activation barrier for the formation of the two alternative products, we performed natural bond orbital analysis, non-covalent interactions analysis and energy decomposition analysis. Our findings based on computational calculations clearly indicate a role for chiral discrimination in mutated enzymatic pathways in cancer biology.

Glyoxalase activity in human erythrocytes and mouse lymphoma, liver and brain probed with hyperpolarized 13C-methylglyoxal

Methylglyoxal is a faulty metabolite. It is a ubiquitous by-product of glucose and amino acid metabolism that spontaneously reacts with proximal amino groups in proteins and nucleic acids, leading to impairment of their function. The glyoxalase pathway evolved early in phylogeny to bring about rapid catabolism of methylglyoxal, and an understanding of the role of methylglyoxal and the glyoxalases in many diseases is beginning to emerge. Metabolic processing of methylglyoxal is very rapid in vivo and thus notoriously difficult to detect and quantify. Here we show that 13C nuclei in labeled methylglyoxal can be hyperpolarized using dynamic nuclear polarization, providing 13C nuclear magnetic resonance signal enhancements in the solution state close to 5,000-fold. We demonstrate the applications of this probe of metabolism for kinetic characterization of the glyoxalase system in isolated cells as well as mouse brain, liver and lymphoma in vivo.

Optimization of Alkyldiethanolamides Synthesis from Terminalia catappa L. Kernel Oil through Enzymatic Reaction

Alkyldiethanolamides (fatty acid diethanolamides) synthesis from Terminalia catappa L. kernel oil was optimized using lypozyme as a catalyst. The result showed that the optimal reaction conditions were 2 hours reaction time, with a ratio of oil mass (g) to diethanolamine (mmol) of 1:5, a ratio of oil mass to enzyme (g) of 1: 0.075, and a temperature of 40°C. The percentage of alkyldiethanolamides at optimum condition was 56-60%. The synthesis results were also analyzed by FTIR. FTIR spectra revealed specific absorption at several wave numbers (3434 cm^-1, 1655 cm^-1, 1280 cm^-1), indicating that amide and alcohol bonds (C=O, C-N, and O-H) were formed. GC-MS was employed to identify the types of fatty acid diethanolamides that were successfully synthesized. The fatty acid diethanolamides formed were palmitoyldiethanolamide (R_t = 32.96 min) and oleyldiethanolamide (R_t = 35.57 min). The total nitrogen content of alkyldietanolamides was 0.26%, or 0.19 mmol of the amide group in 1 g of sample.

Illuminating the dark metabolome to advance the molecular characterisation of biological systems

BACKGROUND

The latest version of the Human Metabolome Database (v4.0) lists 114,100 individual entries. Typically, however, metabolomics studies identify only around 100 compounds and many features identified in mass spectra are listed only as 'unknown compounds'. The lack of ability to detect all metabolites present, and fully identify all metabolites detected (the dark metabolome) means that, despite the great contribution of metabolomics to a range of areas in the last decade, a significant amount of useful information from publically funded studies is being lost or unused each year. This loss of data limits our potential gain in knowledge and understanding of important research areas such as cell biology, environmental pollution, plant science, food chemistry and health and biomedical research. Metabolomics therefore needs to develop new tools and methods for metabolite identification to advance as a field.

AIM OF REVIEW

In this critical review, some potential issues with metabolite identification are identified and discussed. New and novel emerging technologies and tools which may contribute to expanding the number of compounds identified in metabolomics studies (thus illuminating the dark metabolome) are reviewed. The aim is to stimulate debate and research in the molecular characterisation of biological systems to drive forward metabolomic research.

KEY SCIENTIFIC CONCEPTS OF REVIEW

The work specifically discusses dynamic nuclear polarisation nuclear magnetic resonance spectroscopy (DNP-NMR), non-proton NMR active nuclei, two-dimensional liquid chromatography (2DLC) and Raman spectroscopy (RS). It is suggested that developing new methods for metabolomics with these techniques could lead to advances in the field and better characterisation of biological systems.