Chemical Biology Tools to Study Lipids and their Metabolism with Increased Spatial and Temporal Resolution

Lipids are important cellular components providing many essential functions. To fulfill these various functions evolution has selected for a diverse set of lipids and this diversity is seen at the organismal, cellular and subcellular level. Understanding how cells maintain this complex lipid organization is a very challenging problem, which for lipids, is not easily addressed using biochemical and genetic techniques. Therefore, chemical tools have an important role to play in our quest to understand the complexities of lipid metabolism. Here we discuss new chemical tools to study lipids, their distribution and metabolism with increased spatial and temporal resolution.

Plasma Metabolomics and Lipidomics Differentiate Obese Individuals by Peripheral Neuropathy Status

Context Peripheral neuropathy (PN) is a frequent prediabetes and type 2 diabetes (T2D) complication. Multiple clinical studies reveal that obesity and dyslipidemia can also drive PN progression, independent of glycemia, suggesting a complex interplay of specific metabolite and/or lipid species may underlie PN. Objective This work aimed to identify the plasma metabolomics and lipidomics signature that underlies PN in an observational study of a sample of individuals with average class 3 obesity. Methods We performed plasma global metabolomics and targeted lipidomics on obese participants with (n = 44) and without PN (n = 44), matched for glycemic status, vs lean nonneuropathic controls (n = 43). We analyzed data by Wilcoxon, logistic regression, partial least squares–discriminant analysis, and group-lasso to identify differential metabolites and lipids by obesity and PN status. We also conducted subanalysis by prediabetes and T2D status. Results Lean vs obese comparisons, regardless of PN status, identified the most significant differences in gamma-glutamyl and branched-chain amino acid metabolism from metabolomics analysis and triacylglycerols from lipidomics. Stratification by PN status within obese individuals identified differences in polyamine, purine biosynthesis, and benzoate metabolism. Lipidomics found diacylglycerols as the most significant subpathway distinguishing obese individuals by PN status, with additional contributions from phosphatidylcholines, sphingomyelins, ceramides, and dihydroceramides. Stratifying the obese group by glycemic status did not affect discrimination by PN status. Conclusion Obesity may be as strong a PN driver as prediabetes or T2D in a sample of individuals with average class 3 obesity, at least by plasma metabolomics and lipidomics profile. Metabolic and complex lipid pathways can differentiate obese individuals with and without PN, independent of glycemic status.

Free energies of membrane stalk formation from a lipidomics perspective

Many biological membranes are asymmetric and exhibit complex lipid composition, comprising hundreds of distinct chemical species. Identifying the biological function and advantage of this complexity is a central goal of membrane biology. Here, we study how membrane complexity controls the energetics of the first steps of membrane fusions, that is, the formation of a stalk. We first present a computationally efficient method for simulating thermodynamically reversible pathways of stalk formation at coarse-grained resolution. The method reveals that the inner leaflet of a typical plasma membrane is far more fusogenic than the outer leaflet, which is likely an adaptation to evolutionary pressure. To rationalize these findings by the distinct lipid compositions, we computed ~200 free energies of stalk formation in membranes with different lipid head groups, tail lengths, tail unsaturations, and sterol content. In summary, the simulations reveal a drastic influence of the lipid composition on stalk formation and a comprehensive fusogenicity map of many biologically relevant lipid classes.

Free energies of stalk formation in the lipidomics era

Many biological membranes are asymmetric and exhibit complex lipid composition, comprising hundreds of distinct chemical species. Identifying the biological function and advantage of this complexity is a central goal of membrane biology. Here, we study how membrane complexity controls the energetics of the first steps of membrane fusions, that is, the formation of a stalk. We first present a computationally efficient method for simulating thermodynamically reversible pathways of stalk formation at near-atomic resolution. The new method reveals that the inner leaflet of a typical plasma membrane is far more fusogenic than the outer leaflet, which is likely an adaptation to evolutionary pressure. To rationalize these findings by the distinct lipid compositions, we computed ~200 free energies of stalk formation in membranes with different lipid head groups, tail lengths, tail unsaturations, and sterol content. In summary, the simulations reveal a drastic influence of the lipid composition on stalk formation and a comprehensive fusogenicity map of many biologically relevant lipid classes.

A Nanoscale Model System for the Human Myelin Sheath

Here, we for the first time establish nanodiscs with the challenging lipid composition of myelin of the peripheral or central nervous systems, respectively (PNS and CNS, both containing >40% cholesterol, which so far has been thought to be detrimental for nanodisc formation).Thus, we prove that more complex lipid model membrane systems are in general accessible through nanodiscs and can study protein-lipid interactions in myelin and factors driving myelin formation or degradation using combinations of myelin proteins in a highly controlled lipid environment resembling myelin’s cytoplasmic leaflet. For the functional studies, initial proof-of-principle experiments using myelin basic protein have been performed. <br>

A Nanoscale Model System for the Human Myelin Sheath

Here, we for the first time establish nanodiscs with the challenging lipid composition of myelin of the peripheral or central nervous systems, respectively (PNS and CNS, both containing >40% cholesterol, which so far has been thought to be detrimental for nanodisc formation).Thus, we prove that more complex lipid model membrane systems are in general accessible through nanodiscs and can study protein-lipid interactions in myelin and factors driving myelin formation or degradation using combinations of myelin proteins in a highly controlled lipid environment resembling myelin’s cytoplasmic leaflet. For the functional studies, initial proof-of-principle experiments using myelin basic protein have been performed. <br>

A Nanoscale Model System for the Human Myelin Sheath

Here, we for the first time establish nanodiscs with the challenging lipid composition of myelin of the peripheral or central nervous systems, respectively (PNS and CNS, both containing >40% cholesterol, which so far has been thought to be detrimental for nanodisc formation).Thus, we prove that more complex lipid model membrane systems are in general accessible through nanodiscs and can study protein-lipid interactions in myelin and factors driving myelin formation or degradation using combinations of myelin proteins in a highly controlled lipid environment resembling myelin’s cytoplasmic leaflet. For the functional studies, initial proof-of-principle experiments using myelin basic protein have been performed. <br>