Biochimica et Biophysica Acta (BBA) - Biomembranes

SNARE-mediated membrane fusion is regulated by the lipid composition of the engaged bilayers. Lipids impact fusion through direct protein-lipid interactions or through modulating the physical properties of membranes to affect protein function. Lysophospholipids (LPLs) can affect membrane curvature, fluidity and energy of deformation. Their effects are due to their head group, and the length and saturation of their single acyl chains. Here we examined how the properties of LPLs affect yeast vacuole fusion and ion transport. We found that lysophosphatidylcholine (LPC) with acyl chains containing 14-18 carbons inhibited fusion with IC50 values of {cong} 40-120 {micro}M. While acyl chain length moderately affected fusion, the head group played a major role. Unlike LPCs, Lysophosphatidic acid (LPA 18:1) failed to fully inhibit fusion, while lysophosphatidylethanolamine (LPE 18:1) had no effect. Separately we found that changes in acyl chain length and saturation differentially affected Ca2+ transport and vacuole acidification. Together these data show that the effects of LPLs on membrane fusion and ion transport were due to a combination of head group type and acyl chain length.

The structural and dynamic properties of membranes are known to vary with bilayer size and hydration. While Molecular Dynamic (MD) simulations are a powerful tool for studying cellular membrane systems, the results can be sensitive to the analysis work-flow and software. In this study, all-atom MD simulations (500 ns) were conducted on systems of 256, 512, and 1024 POPC lipids at 40, 80, and 160 waters per lipid. With these simulations, a two-fold study was performed: (1) to assess the convergence of structural and dynamic properties of POPC bilayers as a function of membrane size and hydration level using CPPTRAJ (CPP), including area per lipid (APL), bilayer thickness, order parameter, headgroup orientation, and lateral diffusion, and (2) to compare the analysis output and performance of four software packages: CPP, GROMACS (GRO), MDAnalysis (MDA), and LiPyphilic (LiP). For the first objective, our results show that the average values of the bilayer thickness, order parameter, and headgroup orientation are largely independent of the size and hydration levels studied. In contrast, lateral diffusion coefficient was sensitive to both size and hydration. We found that increasing the system size primarily decreased the statistical variance of the APL and thickness. For the second objective, all four packages produced consistent results for APL and thickness, with the most significant discrepancy being a known artifact from the gmx order tool when applied to unsaturated carbons. Performance bench-marks identified CPP as the fastest serial tool for all properties, whereas parallelization benefited MDA and LiP in some metrics. These findings provide a practical roadmap, demonstrating that moderately sized systems (e.g., 256L), combined with an optimized tool such as CPP, offer an efficient workflow for membrane structural property analysis.

The structural and functional characteristics of membrane proteins can be influenced by the composition of the membrane. Consequently, native membranes are most relevant for the study of receptors and other membrane proteins. In this study, we investigated two types of cell-derived vesicles: natively shed extracellular vesicles (EVs) and mechanically derived vesicles (MVs). To this end, we utilized the human breast cancer cell line SKBR3, which strongly overexpresses the receptor HER2. We designed a protocol based on designed ankyrin repeat proteins (DARPins) to purify EVs and MVs enriched in HER2, and to ensure the native orientation of the HER2 receptors within the vesicle. The isolated HER2-containing EVs and MVs were characterized by cryo-EM, cryo-electron tomography (cryo-ET) and mass spectrometry (MS), which revealed fundamental differences between the different vesicle types. Our study highlights the greater structural diversity of EVs over MVs. A single particle cryo-EM analysis and classification of all visible receptors on the vesicle surface yielded electron density consistent with HER2 at modest resolution. Taken together, our results suggest that MVs can serve better than EVs as a suitable platform for the structure determination of membrane proteins within their native membrane environments.

We have conducted all atom molecular dynamics simulations of POPC and DPPC lipid bilayers using AMBER Lipid21 force field with eight different water models, including SPC/E, TIP3P, TIP3P-FB, TIP4P-FB, TIP4P-Ew, TIP4P/2005, TIP4P-D, and OPC, to identify the most compatible one without any modification. A number of parameters have been computed in order to understand the structure of the lipid bilayer: Area per lipid, Isothermal compressibility modulus, average Volume per lipid, electron density profile, bilayer thickness, X-ray and neutron scattering form factors, deuterium order parameter, and radial distribution function. The estimated Area per lipid, Isothermal compressibility factor, volume per lipid and bilayer thickness are highly consistent with experimental results for the SPC/E water model, indicating its suitability with the AMBER Lipid21 force field, insted of any modification. The bilayer electron density profiles of both the lipid bilayers demonstrate a little augmentation of water penetration with respect to the membrane surface for TIP4P-D water model. However, the experimental X-ray and neutron scattering form factors are aligning well with the simulated results for all studied water models, and TIP4P-D shows better for X-ray data. The deuterium order parameter for lipid acyl chains value less than 0.25 for all observed water models, depicting their disorderness for both the lipid bilayers. The lateral diffusion and reorientation autocorrelation function of the lipid molecules in both the bilayers are computed to reveal their dynamics across all water models. In comparison to other water models, the simulated trajectories predict better structure and reasonably fair dynamic properties for the SPC/E water model. The TIP4P-Ew water model reproduces the lateral diffusion co-efficient in close agreement with experiment. Reorientational dynamics for both the lipids in the bilayers for eight different water models are observed; the presence of slow and slowest time components corresponds to the lipid axial motion (wobble motion) and Twist/Splay motions. So, in view of the overall performance of the different water models with the AMBER Lipid21 all atom force field in reproducing membrane physical properties, the SPC/E water model appears to be an optimal choice.

Saturated fatty acids such as stearic acid (SA) can exhibit both antimicrobial and growth-promoting effects on bacteria, depending on their concentration and chemical structure. However, the physical properties of the bacterial cell envelope in response to such molecules remain under-explored compared to their biochemical pathways. In this study, a comprehensive investigation is presented on the interaction of SA with the Gram-positive bacterium, Staphylococcus epider-midis (S. epi). SA alters bacterial growth, reflected in a higher maximum specific growth rate, a shorter lag phase, and an extended exponential phase, consistent with a prebiotic effect. Using fluorescence correlation spectroscopy and fluorescence lifetime imaging microscopy, we show that SA incorporation leads to significant fluidization of the lipid membrane, characterized by enhanced lateral diffusion and reduced membrane viscosity. Coarse-grained molecular dynamics (CG-MD) simulations demonstrate spontaneous insertion of SA into the membrane and a significant increase in mean-square displacement after insertion, supporting our experimental observations. Importantly, atomic force microscopy measurements show an increase in cell-envelope stiffness, reflected by a higher Youngs modulus which can be attributed to modulations in the glycan-peptide linkage density based on earlier studies that correlate stiffness changes to peptidoglycan (PG) crosslinking in Gram-positive strains [1]. These results provide direct evidence linking membrane fluidization induced by SA and increased cell wall stiffness due to transport modifications in the membrane mediated PG synthesis pathways to enhance bacterial cell viability.

Golgi Reassembly and Stacking Proteins (GRASP) have been associated with Golgi-ribbon structure and unconventional vesicular protein secretion. In performing these functions, GRASPs consistently interact with membranes. The presence of lipid modifications, such as myristoylation, is a crucial consideration for obtaining detailed information about the interactions between GRASPs and membranes. Nonetheless, it has been overlooked in the literature so far. Here, we describe a reconstitution protocol for myristoylated human GRASP65 and GRASP55 in lipid model membranes, enabling investigation of their interactions using techniques ranging from structural characterization to spectroscopy and microscopy. Our results showed that myristoyl-anchored GRASPs can influence membrane dynamics, suggesting a possible role for their disordered SPR domain in this interaction.

Staphylococcus aureus (S. aureus) is a clinically relevant pathogen capable of adapting its membrane composition in response to environmental stress. In this adaptive process, bacterial carotenoids play a crucial role. Although staphyloxanthin (STX) is the main carotenoid produced by the bacterium, S. aureus also synthesizes other pigmented intermediates that play an unknown role in regulating membrane biophysical properties. In this study, we purified 4,4-diaponeurosporenoic acid (4,4'-DNPA) from S. aureus carotenoid extracts and evaluated its effect on the thermotropic and biophysical properties of representative membrane models. The highly rigid triterpenoid 4,4'-DNPA is one of the last precursors in the biosynthesis of STX and is found in high concentrations in the stationary phase of S. aureus. Phase transition temperatures were determined using infrared spectroscopy, while interfacial hydration and hydrophobic core dynamics were investigated using fluorescence spectroscopy through Laurdan generalized polarization and DPH anisotropy. The results show that 4,4'-DNPA increases the main phase transition temperature of lipid bilayers in a concentration-dependent manner. This is in contrast to STX that decreases the transition temperature. This difference is consistent with the additional fatty acid present in STX that changes its effect on the phase behavior. Furthermore, 4,4'-DNPA reduced the interfacial hydration levels and restricted hydrophobic-core dynamics at higher concentrations, consistent with increased molecular order and stability. 4,4'-DNPA therefore complements STX in increasing membrane order and lipid packing. These findings support the notion that the production of bacterial carotenoids functions as a biophysical regulatory mechanism of lipid packing in S. aureus membranes.

Synaptic vesicle glycoproteins 2 (SV2) are integral membrane proteins essential for neurotransmitter release and are implicated in neurological disorders including epilepsy and Parkinsons disease. In the attempt to develop a ligand selective for SV2C, and in collaboration with UCB, UCB-F was identified as a potential candidate. However, the affinity of UCB-F to SV2C was found to be temperature dependent, decreasing by about 10-fold from +4 to 37 degrees. UCB1A was subsequently identified as SV2C ligand displaying in vitro a 100-fold selectivity for SV2C compared with SV2A. In this study we investigated whether the binding of UCB-1A to SV2A and SV2C was affected by the temperature. A combination of experimental binding assay data and molecular dynamics (MD) simulations were used. The binding studies revealed that UCB1A affinity for SV2A decreased significantly at 37 {degrees}C compared with 4 {degrees}C, whereas binding to SV2C remained largely unchanged. MD simulations reproduced these observations, namely that ligand RMSD values at 310 K showed that UCB1A binding fluctuated markedly in the SV2A complex, with many trajectories exceeding the 3.0 [A] stability cutoff, whereas UCB1A remained relatively well-anchored in SV2C under the same conditions. Structural analysis showed that, while UCB1A adopts a conserved binding pose across all isoforms stabilized by {pi}- {pi} stacking and a hydrogen bond with Asp, SV2C possesses a unique stabilizing feature. In SV2C, Tyr298 is less exposed to the solvent and engages in a persistent hydrogen bond with Asparagine, a structural feature that reinforces pocket stability and limits temperature-induced destabilization. This interaction is absent in SV2A, consistent with its greater temperature sensitivity. Together, these findings provide a mechanistic explanation for the experimentally observed temperature independence of UCB1A binding to SV2C. More broadly, the results highlight the importance of incorporating physiologically relevant temperatures into SV2 ligand evaluation and demonstrate how combining experiments with simulations can uncover isoform-specific mechanisms of ligand recognition and stability.

Lipopolysaccharide (LPS), a ubiquitous bacterial component of food, is neutralized by a variety of mechanisms that help to establish a threshold, which when exceeded results in an inflammatory TLR4 mediated response. Notably both CEACAM1 and CD36 affect downstream signaling of TLR4 to LPS. Furthermore, CEACAM1 associates with CD36 in hepatocytes, regulating lipid storage and bile acid (BA) secretion that includes reverse transport of LPS to the intestine. Direct binding of LPS-Ra micelles to soluble CEACAM1 or soluble CD36 was analyzed by surface plasmon resonance (SPR), size exclusion chromatography (SEC) and transmission electron microscopy (TEM). Direct binding of CEACAM1 to CD36 was analyzed by SPR and proximity ligation assays. Molecular models were generated by Alpha Fold and Molecular Dynamics. LPS Binding: SPR binding constants of KD= 1.04 x 10-10 M and KD= 3.38 x 10-10 M were obtained for LPS-Ra micelle binding to sCEACAM1 and sCD36, respectively. On SEC, the molecular sizes of LPS-Ra micelles bound to sCEACAM1 and sCD36 were approximately 500 and 800 kDa, respectively. In addition, LPS binding to both was reduced by sodium cholate and sodium deoxycholate. Alpha Fold predicted a binding site of LPS-Ra to CD36, while Molecular Dynamic studies of an N-domain mutant of CEACAM1, that breaks a conserved salt bridge, revealed the presence of an open form that is predicted to bind LPS. sCEACAM1 to sCD36 Binding: A KD of 5.28 x 10-8 M was obtained for sCEACAM1 binding to immobilized sCD36 by SPR. Antibody-based-proximity ligation demonstrated the association of the ectodomains of CEACAM1 and CD36 on hepatic cells and when co-expressed in HEK cells. In addition, biotin-based proximity ligation demonstrated association of the cytoplasmic domains of CEACAM1 and a CD36-BioID2 fusion protein when co-expressed in HEK cells. Alpha Fold predicted both head-to-head (trans) and side-to-side (cis) binding of the N-domain of CEACAM1 to CD36, from which a membrane model of their cis-interaction could account for the proximity ligation results. Both CEACAM1 and CD36 share a common LPS micelle binding function, as well as binding to each other, and together, may regulate uptake and excretion of micellar LPS.

The protein caveolin-1 (cav1) is essential in the generation of caveolae, cup-like invaginations in the plasma membrane, but the mechanism of its action remains unclear. A recent cryo-EM structure revealed an 11-mer of cav1 (the 8S complex) forming a disk with a flat membrane-facing surface, raising the question of how a flat complex is able to generate membrane curvature. We previously conducted implicit-solvent and all-atom molecular dynamics simulations, which showed the 8S complex adopting a conical shape. The ability of the conical shape to remodel membranes was assumed but could not be confirmed. Here, we simulated the complex in discontinuous membrane patches of [~]30 nm diameter on the Anton 3 supercomputer. In a 2-s simulation, a flat POPC membrane patch acquired pronounced positive curvature (curved away from the complex), converting into a hemisphere of 21-nm outer diameter. However, when the complex was constrained to prevent the conversion into a conical shape, the membrane patch acquired slightly negative curvature. These results show that the conical shape of the 8S complex is essential for positive curvature generation. A homology model of cav3 behaved very similarly to cav1, but the two recently discovered nonvertebrate caveolins remained flat and generated pronounced negative curvature. Simulations of cav1 in 70:30 POPC:cholesterol and other cholesterol-containing mixtures showed significantly lower curvature than in the pure POPC membrane or in an E. coli membrane mimic. This appears to be caused by cholesterol flipping from the distal to the proximal leaflet. No specific binding of cholesterol to the cav1 CRAC motif was observed, nor significant enrichment of cholesterol in contact with the complex. These observations lead to the hypothesis that cholesterol is enriched in caveolae not because of specific binding to caveolin, but because it can alleviate curvature stress due to its negative spontaneous curvature and its ability to rapidly flip-flop.

Molecular mimicry between pathogen-derived and self-peptides shown by MHC molecules is one of the critical mechanisms in the pathophysiology of autoimmune diseases. Numerous studied has been conducted in this field to identify sequence similarity, but evaluating structural and dynamic similarity, systematic computational frameworks remain limited. Therefore, we created an automated multi-parameter molecular dynamics analysis workflow and used it to compare three peptides (KP1, KP2, and KP3) generated from Klebsiella pneumoniae bound to HLA-B class protein with one human self-peptide (Annexin-derived, ANX). We assessed six complementing parameters using one microsecond-scale MD simulation: radius of gyration (Rg), solvent-accessible surface area (SASA), hydrogen bonding dynamics, MM-GBSA binding free energy, root mean square fluctuation (RMSF), and root mean square deviation (RMSD) to understand time-dependent structural and dynamic behaviour of all the peptide-HLA-B complex. Additionally, hydrogen bond occupancy and molecular mechanics generalised Born surface area (MM-GBSA) binding free energy calculations were performed to provide a more comprehensive assessment of complex stability. Our analysis suggests that KP1 exhibits structural features consistent with molecular mimicry, maintaining conformational stability, surface exposure, and interaction patterns comparable to ANX. In contrast, KP2 showed reduced stability, characterised by higher RMSD values and substantial hydrogen bond loss, whereas KP3 displayed intermediate behaviour, with relatively favourable energetics but noticeable conformational variability. Overall, the multi-parameter framework enabled differentiation among the candidate peptides based on combined structural, dynamic, and energetic properties. The workflow can be adapted for the analysis of larger peptide datasets and may provide a systematic approach for investigating potential autoimmune-relevant molecular mimics in microbial proteomes, with required adjustments according to the system.

Cholesterol is a key component of cellular membranes, regulating membrane organization, fluidity, and signaling. However, cholesterol analysis remains technically challenging, as no single method currently allows both accurate quantification and spatially resolved visualization. Biochemical assays provide accurate quantification but lack spatial resolution, whereas imaging strategies can perturb membrane organization or cholesterol accessibility. Here, we describe optimized protocols using fluorescent D4 probes derived from the cholesterol-binding domain of perfringolysin O (D4-mCherry and D4-GFP) to detect, visualize, and quantify cholesterol in biological samples. We detail procedures for probe production, purification, and application, and establish conditions that ensure robust and reproducible labeling of membrane-accessible cholesterol. By combining fluorescence-based imaging with quantitative analysis, this approach enables the assessment of cholesterol distribution while preserving its native membrane environment. The proposed methodology provides a versatile and reliable framework for studying cholesterol in a wide range of experimental systems.

Membrane mimetics such as lipid bicelles and nanodiscs have become indispensable platforms for high-resolution structural, dynamical, and functional studies of membrane-associated systems by NMR spectroscopy, cryo-electron microscopy, and X-ray crystallography. In particular, magnetically aligned bicelles and nanodiscs uniquely enable the measurement of anisotropic NMR interactions, providing direct access to membrane geometry, lipid order, thickness, and molecular dynamics. However, the quantitative interpretation of such anisotropic NMR spectra has been hindered by the absence of physically rigorous dynamic models that properly account for the coupled effects of molecular diffusion, orientational distribution, and membrane deformation. Here, we present a comprehensive theoretical framework for the dynamic simulation of 31P chemical shift anisotropy and 14N quadrupolar NMR lineshapes in bicelles and nanodiscs. The model explicitly incorporates lipid diffusion, orientational distributions on curved membrane geometries, and membrane thinning, enabling physically consistent and quantitatively accurate reproduction of experimentally observed anisotropic lineshapes. Using this framework, we simulate dynamic 31P and 14N NMR spectra of DMPC/DHPC bicelles and nanodiscs and demonstrate how membrane thinning and lipid diffusion govern the apparent reduction of anisotropic interactions commonly observed upon peptide or protein association. This approach establishes a general physical basis for interpreting anisotropic NMR spectra of aligned membrane mimetics and provides a unified platform for quantitative investigation of membrane structure, dynamics, and membrane-active biomolecular interactions.

GPI-anchored proteins are crucial cell surface proteins with diverse, organism-specific functions, in eukaryotes. They are produced when the GPI transamidase (GPIT), a five-subunit membrane-bound enzyme complex, attaches a pre-formed GPI anchor to the C-terminal end of nascent proteins on the lumenal face of the endoplasmic reticulum. This process requires the removal of a C-terminal signal sequence (SS) on the substrate protein by the action of an endopeptidase subunit of the GPIT, Gpi8/ PIG-K. Using an AMC-tagged peptide in a cell free (post-mitochondrial fraction) assay, this manuscript studies the steady state kinetics of enzymatic cleavage of the substrate by GPIT of the human pathogenic fungus, C. albicans. We show that Mn+2 enhances activity by improving substrate binding but plays no direct role in substrate cleavage per se. Molecular dynamics simulations suggest that the divalent cation binds at a site away from the active site but provides compactness and stability to Gpi8. It also enables a conformation in which a flexible loop (219-244 residues) in the vicinity of the catalytic pocket is able to interact with and position the scissile bond for cleavage by Cys202. Steady state kinetics also indicate that peptides of lengths 7-mer to 9-mer are better bound than 4-mer or 15-mer peptide substrates. A bulky residue at the site of cleavage reduces the catalytic activity of the GPIT. This is the first detailed steady state kinetics study on the endopeptidase activity of a GPIT from any organism.

Inflammation is a fundamental immune response but, when dysregulated, contributes to the pathogenesis of numerous inflammatory disorders. Although there are several conventional anti-inflammatory drugs which are effective, their long term use is often associated with adverse side effects, which highlights the need for safer alternative therapeutic drugs. Probiotic derived membrane vesicles (MVs) have recently emerged as biologically active nanostructures capable of modulating host immune responses. In the present study, MVs isolated from Lactobacillus acidophilus MTCC 10307 were evaluated for their anti-inflammatory efficacy and safety profile using in vitro and in vivo models. In RAW 264.7 macrophages, L. acidophilus MVs significantly attenuated lipopolysaccharide induced expression of the pro-inflammatory mediators Il-1{beta}, Il-6, and iNOS, accompanied by reduced nitric oxide and reactive oxygen species production which was abolished in the proteinase K treated MVs. The protein levels of NF{kappa}B and IL1{beta} were also reduced in the treatment groups. Repeated dose oral toxicity studies revealed no adverse effects, as evidenced by body weight and histopathological evaluation of major organs. The anti-inflammatory properties of L. acidophilus MVs were further validated in an in vivo hind paw edema model, which shows inflammation resolution demonstrated by molecular and histological analysis. Proteomic analysis using LC-MS/MS identified the presence of surface-layer protein A (SlpA) which is a potential bioactive component which might contribute to the observed immunomodulatory effects. Collectively, these findings demonstrate that L. acidophilus MVs exert potent anti-inflammatory activity while maintaining an excellent safety profile using integrated in vitro and in vivo models.

Coacervate droplets and lipid vesicles are two classes of self-assembled compartments that have been proposed as protocell models. Hybrid protocells, in which a coacervate core is surrounded by a lipid membrane, can integrate the advantages of both protocell systems while overcoming their limitations. Although hybrid protocell membranes have been produced with a variety of diacyl phospholipids related to modern biology and some single-chain amphiphiles inspired by prebiotic scenarios, little is known about how mixtures of single-chain amphiphiles impact hybrid protocell membrane formation and properties. Given the plausible diversity of amphiphiles in the prebiotic milieu, the resulting membranes would have inherently incorporated multiple lipids of different types, potentially altering the properties and viability of hybrid protocells in their environment. Here, we systematically increased the compositional heterogeneity of hybrid protocell membranes by using different prebiotically relevant single-chain amphiphiles of varying head groups and alkyl chain lengths. These membranes were assembled around model coacervate droplets generated from polyallylamine hydrochloride and adenosine diphosphate, and the effect of heterogeneity on membrane properties and stability was evaluated. Compared to protocells with homogeneous membranes, those with heterogeneous amphiphile membranes exhibited higher yields, smaller sizes, and greater sub-compartment formation. Also, they showed increased membrane order, retained similar lateral lipid diffusion, and showed population-level variability in permeability to small anionic molecules. Notably, heterogeneous membranes showed enhanced structural stability under acidic conditions, retaining key properties like size and sub-compartment heterogeneity, thereby broadening the pH range over which hybrid protocells remain intact. These findings suggest that amphiphile diversity not only would have influenced the structural properties of hybrid protocells but also created diversity within the protocell population and enhanced their robustness, thereby playing a crucial role in protocell evolution on early Earth.

Lipid nanoparticles (LNPs) are the most successful drug delivery carrier to date, but optimizing lipid formulations to improve membrane fusion capabilities for effective drug release has been challenging due to lack of a quantitative measure for fusogenicity. Here we introduce a new framework based on small angle X-ray scattering to experimentally measure [Formula] for lipids used in LNP formulations such as glycerol monooleate (GMO) and ionizable lipids (SM-102 and ALC-0315). Q intrinsically captures spontaneous curvature (J0), which is traditionally used to assess fusogenicity. The change of cubic lattice parameters with temperature was measured for GMO-containing lipid mixtures, and the Q extracted quantitatively correlated with LNP fusogenicity power validated by fluorescence-based fusion assays and cryogenic electron microscopy. Fusogenicity of SM-102 and ALC-0315 was quantified by adding them to host membranes and assessing change in Q. This framework provides researchers with the ability to optimize the fusogenicity of LNP formulations for potent drug release and enhances understanding of parameters governing fusion in all biomembranes.

Alzheimers disease (AD) is a leading cause of death among the elderly, with no existing treatment. The development of therapy is further challenged by a limited understanding of molecular pathogenesis and the absence of reliable early-detection biomarkers. Neuroimaging and lipidomic studies reveal structural and biochemical alterations in both gray and white matter in AD patients, including disruptions in membrane organization and neuronal signaling pathways. In the present work, we employed lipidomics-guided modeling of membranes in gray and white matter regions in healthy and diseased (AD) conditions, and used all-atom molecular dynamics (MD) simulations to examine how AD-associated alterations in lipid composition influence the structure, spatial organization, and micro-heterogeneity of neuronal plasma membranes in different brain regions. Data suggest that Alzheimers disease-associated lipid alterations in gray matter (GM) and white matter (WM) impact membrane thickness and microdomain distribution, highlighting the critical role of lipid composition in maintaining neuronal membrane homeostasis and function. Higher-order cholesterol-ceramide- sphingomyelin-enriched domains are more abundant in the neuronal membranes of the GM region in diseased conditions. Under AD-mimicking conditions, lipidomic analyses demonstrate that neuronal membranes in GM experience more substantial compositional and structural remodeling than those in WM. Our results show significant changes in membrane microdomain distribution across the lipid bilayers, and, interestingly, these changes are more pronounced in the gray matter than in the white matter. This study establishes a framework for modeling the tissue-specific lipidomics data to understand how disease-driven compositional changes affect the structure, organization, and dynamics of biological membranes.

The conformational dynamics of a model cationic protein in water and in the presence of anionic sodium dodecyl sulphate (SDS) and cationic cetyltrimethylamonium bromide (CTAB) surfactants at different concentrations were investigated using all-atom molecular dynamics simulations. Free-energy landscapes constructed along principal components reveal a compact, well-defined native basin at 25 {degrees}C in water, whereas elevated temperature (100 {degrees}C) induces a broadening of the conformational space and the emergence of multiple metastable states. The presence of surfactants further modulates this behavior in a concentration-dependent manner. Cluster population analysis shows that SDS promotes a highly heterogeneous ensemble characterized by reduced dominance of the native-like cluster, while CTAB partially protects the protein from thermal denaturation at higher concentrations. Radial distribution functions demonstrate strong accumulation of SDS headgroups around the protein and pronounced insertion of SDS alkyl tails into hydrophobic protein regions, indicating direct hydrophobic destabilization and micelle-assisted unfolding. In contrast, CTAB exhibits weaker headgroup association owing to electrostatic repulsion and reduced tail-hydrophobic contacts, suggesting a less disruptive interaction mechanism. At high concentration, CTAB aggregates provide a structured hydrophobic environment that stabilizes the folded state and suppresses denaturation. Together, these results provide a molecular-level picture of how surfactant chemistry and concentration govern the conformational stability of a cationic protein, highlighting the dominant role of hydrophobic interactions in surfactant-induced denaturation at high temperature. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=89 SRC="FIGDIR/small/717321v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@f68004org.highwire.dtl.DTLVardef@14e9a98org.highwire.dtl.DTLVardef@18771d3org.highwire.dtl.DTLVardef@141fc6f_HPS_FORMAT_FIGEXP M_FIG C_FIG

The brain, though less than 10% of body mass, contains about 25% of total cholesterol (CHL), emphasizing CHLs key role in neuronal function. Many CHL actions are stereospecific, as shown by differences from its 3-hydroxy epimer, epicholesterol (epiCHL). How this minor structural change alters membrane properties and sterol transport remains unclear. Here, we compare fluorescent analogs of CHL (cholestatrienol, CTL) and epiCHL (epicholestatrienol, epiCTL), which closely mimic their natural counterparts. Biophysical membrane properties, such as flip-flop, acyl-chain ordering, and interbilayer transfer, depend on the orientation of the 3-hydroxy group. Similarly, transport by sterol transport proteins (STPs) and intracellular trafficking of the sterols in human astrocytes are stereospecific. Treatment with 25-hydroxycholesterol increases uptake of both epimers, but only CTL shows enhanced esterification and lipid droplet storage. These findings demonstrate that subtle cholesterol structural changes affect cellular homeostasis and establish epiCTL as a useful probe of sterol stereospecificity and trafficking.