Lipid Membranes Research Articles

Moment analysis method for the determination of permeation kinetics of coumarin at lipid bilayers of liposomes by using capillary electrophoresis.

A method was developed for studying mass transfer kinetics at lipid bilayers of liposomes. Elution peaks of coumarin were measured by liposome electrokinetic chromatography (LEKC). Four types of phospholipids having different alkyl chains were used for preparing liposomes, which were used as pseudo-stationary phases in LEKC systems. Rate constants of permeation across lipid bilayers of liposomes or of adsorption at lipid membranes were determined by analyzing the first absolute and second central moments of the elution peaks measured by LEKC. The rate constants of permeation or adsorption tend to decrease with an increase in the carbon number of the alkyl chains of phospholipids. It was demonstrated that the moment analysis of elution peak profiles measured by LEKC is effective for determining lipid membrane permeability or adsorption kinetics. Compared with other conventional techniques, the method has some advantages for studying mass transfer kinetics at lipid bilayers. Solute permeation across or solute adsorption at real lipid bilayers of liposomes is analyzed. The principle of the method is the analysis of separation behavior in LEKC, which is different from that of the other ones. It is expected that the method contributes to the kinetic study of mass transfer at lipid bilayers from various perspectives.

Probing the Influence of Hydrophobicity of Modified Gold Nanoparticles in Modulating the Lipid Surface Behavior Using Vibrational Sum Frequency Generation Spectroscopy.

A deep understanding of how the surface modifications of nanoparticles impact their interactions with cell membranes is vital for advancing safe and effective biomedical applications. Among the pivotal factors governing these interactions, the hydrophobicity of nanoparticles plays a crucial role, predominantly driven by the hydrophobic interactions with the cell membrane. Herein, we study the influence of the hydrophobic alkyl chain length of thiol-capped gold nanoparticles (GNPs) on lipid surfaces with the help of vibrational sum frequency generation spectroscopy. We have utilized the zwitterionic 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) lipid monolayer as a representative model of cell membranes on the water surface. Our findings revealed that GNPs capped with the thiol ligand having a shorter alkyl chain such as heptanethiol (HT, C7) show minimal changes in the C-H stretching vibrations while interacting with the lipid monolayer. These observations could be attributed to the perturbation of the lipid chain due to hydrophobic-hydrophobic interactions between the alkyl chain of thiol-capped GNPs and the hydrophobic group of the lipid membrane or simply by the adsorption of GNPs at the interface without disrupting the monolayer structure. However, with increasing the chain length of thiol-capped GNPs from decanethiol (DDT, C10) to octadecanethiol (ODT, C18), the extent of spectral change in the C-H stretching vibration is increased. The controlled experiment performed with the deuterated lipids conforms that the changes observed in the C-H stretching vibration after adding HT (C7) GNPs are only because of their presence in the surface without altering the monolayer structure. However, in the case of DT (C10) and DDT (C12) GNPs, the strong hydrophobic interactions between the monolayer and the alkyl chain of the thiol-capped GNPs result in the increased orientational order of the monolayer. Moreover, in the case of ODT (C18) GNPs, the very long alkyl chain induces pronounced perturbations in the monolayer structure with net disordering of the monolayer. These observations are further supported by the spectral changes observed in the O-H vibration of the interfacial water molecules. Our findings reveal the crucial role of the hydrophobic nature of GNPs in influencing the interface. Understanding these effects is crucial for drug delivery applications and improving the stability and effectiveness of lipid-based systems.

CETZOLE Analogs as Potent Ferroptosis Inducers and Their Target Identification Using Covalent/Affinity Probes.

Ferroptosis is a recently discovered cell death mechanism triggered by iron-dependent elevation of reactive oxygen species leading to lipid membrane peroxidation. We previously reported the development of a new class of ferroptosis inducers referred to as CETZOLEs with CC50 values in the low micromolar range. Structure-activity relationship study of these compounds led to the development of more potent analogs with CC50 values in the nanomolar range. Cells exposed to these compounds displayed the hallmarks of ferroptosis including cell death through ROS accumulation. Cancer cells were found to be more sensitive to these compounds than normal cells. Proteomic studies using covalent and affinity probes led to the identification of cystathionine β-synthase, peroxiredoxins, ADP/ATP carriers, and glucose dehydrogenase as enriched proteins. The binding of CETZOLEs to these proteins as well as GPX4 was validated by Western blotting. This group of proteins is known to be associated with cellular antioxidant pathways.

HiExM: high-throughput expansion microscopy enables scalable super-resolution imaging.

Expansion microscopy (ExM) enables nanoscale imaging using a standard confocal microscope through the physical, isotropic expansion of fixed immunolabeled specimens. ExM is widely employed to image proteins, nucleic acids, and lipid membranes in single cells; however, current methods limit the number of samples that can be processed simultaneously. We developed High-throughput Expansion Microscopy (HiExM), a robust platform that enables expansion microscopy of cells cultured in a standard 96-well plate. Our method enables ~4.2x expansion of cells within individual wells, across multiple wells, and between plates. We also demonstrate that HiExM can be combined with high-throughput confocal imaging platforms to greatly improve the ease and scalability of image acquisition. As an example, we analyzed the effects of doxorubicin, a known cardiotoxic agent, on human cardiomyocytes (CMs) as measured by Hoechst signal across the nucleus. We show a dose dependent effect on nuclear DNA that is not observed in unexpanded CMs, suggesting that HiExM improves the detection of cellular phenotypes in response to drug treatment. Our method broadens the application of ExM as a tool for scalable super-resolution imaging in biological research applications.

The effects of plant flavones on the membrane boundary potential and lipid packing stress

Here we have revealed the effects of different plant flavones on the physicochemical properties of model lipid membranes. We have demonstrated that baicalein increases the boundary potential of membranes composed of phosphatidylcholine, while wogonin does not affect it. Other flavones tested reduce membrane boundary potential, with this ability increasing among scutellarein, chrysin, apigenin, morin, fisetin, and luteolin. Molecular dynamics simulations demonstrate connection of alteration in boundary potential with the preferential orientation of intrinsic flavone dipole moments in membranes. We have also shown that flavones reduce the melting point of phosphatidylcholine, and this ability increases in the series of luteolin, morin, wogonin, scutellarein, apigenin, baicalein, chrysin, and fisetin. The introduction of baicalein, chrysin and fisetin also leads to a significant decrease in the sharpness of the lipid phase transition. We have hypothesized that the localization of flavones in the glycerol backbone or in the C1-C8 methylene region of lipid hydrocarbon chains leads to an increase in the area per lipid and, as a consequence, to an expansion of the lipid melting peak. Replacement of neutral phosphatidylcholine with negatively charged phosphatidylserine affects the membrane-modifying activity of flavones which given the externalization of phosphatidylserine on the surface of cancer cells may be crucial in the flavone anticancer effects.

Classical Simulations on Quantum Computers: Interface-Driven Peptide Folding on Simulated Membrane Surfaces

Background:Antimicrobial peptides (AMPs) are crucial in the fight against infections and play significant roles in various health contexts, including cancer, autoimmune diseases, and aging. A key aspect of AMP functionality is their selective interaction with pathogen membranes, which often exhibit altered lipid compositions. These interactions are thought to induce a conformational shift in AMPs from random coil to alpha-helical structures, essential for their lytic activity. Traditional computational approaches have faced challenges in accurately modeling these structural changes, especially in membrane environments, thereby opening and opportunity for more advanced approaches. Method:This study extends an existing quantum computing algorithm, initially designed for peptide folding simulations in homogeneous environments, to address the complexities of AMP interactions at interfaces. Our approach enables the prediction of the optimal conformation of peptides located in the transition region between hydrophilic and hydrophobic phases, resembling lipid membranes. The new method was tested on three 10-amino-acid-long peptides, each characterized by distinct hydrophobic, hydrophilic, or amphipathic properties, across different media and at interfaces between solvents of different polarity. Results:The developed method successfully modeled the structure of the peptides without increasing the number of qubits required compared to simulations in homogeneous media, making it more feasible with current quantum computing resources. Despite the current limitations in computational power and qubit availability, the findings demonstrate the significant potential of quantum computing in accurately characterizing complex biomolecular processes, particularly AMP folding at membrane models. Conclusions:This research highlights the promising applications of quantum computing in biomolecular simulations, paving the way for future advancements in the development of novel therapeutic agents. We aim to offer a new perspective on enhancing the accuracy and applicability of biomolecular simulations in the context of AMP interactions with membrane models.

Probing the Origins of the Disorder-to-Order Transition of a Modified Cholesterol in Ternary Lipid Bilayers.

In a recent study, spectroscopic observations of modified cholesterol in both lipid-coated nanoparticles and liposomes provided evidence for a disorder-to-order orientational transition with increasing temperature. Below a critical temperature, in a membrane composed of modified cholesterol, saturated (DPPC) lipid, and anionic (DOPS) lipid, a roughly equal population of head-out and head-in conformations was observed. Surprisingly, as temperature was increased the modified cholesterol presented an abrupt transition to a population of all head-in orientations. Additionally, when saturated DPPC lipids were replaced by unsaturated DOPC the disorder-to-order transition was eliminated. To gain insight into this curious transition, we use all-atom molecular dynamics simulations to characterize the structure and fluctuations of lipid bilayers composed of saturated and unsaturated lipids, in the presence of normal and modified cholesterol. Free energy differences between head-out and head-in conformations are computed as a function of varying lipid membrane composition for normal and modified cholesterol. In bilayers primarily composed of DPPC, the orientation of modified cholesterol is observed to depend sensitively on the orientation of the surrounding normal or modified cholesterol molecules, suggesting cooperative Ising-like interactions favoring an ordered state. In bilayers primarily composed of DOPC, spontaneous flip-flop of modified cholesterol is observed, consistent with the measured small free energy barrier separating the head-in and head-out orientations. This combined experimental and computational study effectively characterizes the orientational dimorphism and provides novel insight into the fundamental nature of cholesterol interactions in membrane.

Cholesterol-Dependent Serotonin Insertion Controlled by Gangliosides in Model Lipid Membranes.

Serotonin is distinct among synaptic neurotransmitters because it is amphipathic and released from synaptic vesicles at concentrations superior to its water solubility limit (270 mM in synaptic vesicles for a solubility limit of 110 mM). Hence, serotonin is mostly aggregated in the synaptic cleft, due to extensive aromatic stacking. This important characteristic has received scant attention, as most representations of the serotonergic synapse take as warranted that serotonin molecules are present as monomers after synaptic vesicle exocytosis. Using a combination of in silico and physicochemical approaches and a new experimental device mimicking synaptic conditions, we show that serotonin aggregates are efficiently dissolved by gangliosides (especially GM1) present in postsynaptic membranes. This initial interaction, driven by electrostatic forces, attracts serotonin from insoluble aggregates and resolves micelles into monomers. Serotonin also interacts with cholesterol via a set of CH-π and van der Waals interactions. Thus, gangliosides and cholesterol act together as a functional serotonin-collecting funnel on brain cell membranes. Based on this unique mode of interaction with postsynaptic membranes, we propose a new model of serotonergic transmission that takes into account the post-exocytosis solubilizing effect of gangliosides and cholesterol on serotonin aggregates.

Cyclodextrin nanosponges as bioenhancers of phytochemicals

Bioavailability is the biggest obstacle to the effectiveness of biologically active compounds. Based on a set of physicochemical requirements we can determine if the compound fulfills the drug-like character and if it has the potential to become an active pharmaceutical ingredient (API) with confirmed and thoroughly examined activities. This practice is widely used in drug design of entirely new APIs, but also in search of pharmacological active substances in large compound bases such as plant-derived substances. The chemical structure diversity of plant-based compounds assures that some of them have to be well bioavailable due to good lipid membrane permeability. However, their efficiency is often limited by poor water solubility. Thus, there is a special need for bioenhancers of naturally derived compounds. In this review we present the potential of cyclodextrin nanosponges (CDNSs) as bioavailability enhancers of selected phytochemicals, namely curcumin, resveratrol, oxyresveratrol and quercetin whose very poor water solubility is the biggest obstacle to high efficiency.

Monocytes and macrophages transmit inflammatory signals to each other via extracellular vesicles

Monocytes and macrophages play an important role in the development of inflammatory diseases, including sepsis, etc. In addition to their role as “scavengers,” macrophages secrete various substances (mainly cytokines and chemokines), which have a systemic effect and modulate the microenvironment of the inflammatory focus. Disruption of their normal function can cause various immune pathologies and changes in tissue homeostasis. Macrophages are able to transmit signals to other cells in the area of inflammation, including various cytokines and other compounds. Usually, they are secreted directly into the extracellular space. However, the lifetime and range of action of these substances may be limited. An alternative method of intercellular communication is the packaging of substances into extracellular vesicles, which can help in signal propagation. Extracellular vesicles are small particles with a bilayer lipid membrane that transport various biologically active substances. There are different types of extracellular vesicles, each of which can have its own specific effect on other cells. Due to the presence of specific receptors on the surface of the vesicles, they can make selective delivery of biological molecules to certain cells. Vesicles can contain various components, such as nucleic acids, proteins, lipids, and even individual cell organelles. Therefore, it is not surprising that vesicles are able to modulate physiological processes in the body and be involved in the pathogenesis of various diseases. Establishing the mechanisms of vesicle participation in the development of inflammatory diseases, including chronic ones, is extremely important. The aim of the present study was to determine whether extracellular vesicles are capable of modulating the immune response. To do this, we assessed cytokine secretion by macrophages treated with vesicles from LPS-stimulated monocytes and macrophages. It was found that cells that received vesicles from LPS-activated monocytes and macrophages secrete more pro-inflammatory signaling molecules: the cytokine IL-6 and the chemokine IL-8. The results demonstrate that intercellular interaction and transmission of the inflammatory signal of monocytic cells also occurs through extracellular vesicles. In the future, additional research is needed to understand the full picture of what substances in the extracellular vesicles of monocytes and macrophages allow them to have an immunomodulatory effect not only on each other, but also on other types of cells.

The influence of blackcurrant extract–based cosmetic antimicrobial agent on skin cells and skin model membranes

The components of blackcurrant extract are known for their antimicrobial properties and the lipid membrane is the important target in terms of the activity of these compounds. In this work, a commercially available product that is PhytoCide Black Currant Powder (BCE), which can be used as a soothing, conditioning and antimicrobial agent in cosmetics, was investigated. The aim of this study was to explore its effect on skin cells and gain insight into the mechanism of its selectivity. The influence of this formulation on keratinocyte and fibroblast cells in in vitro tests was studied and the effect of BCE on model keratinocyte and fibroblast membranes was investigated. As model systems, the lipid monolayers of different compositions were used. The experiments involved the surface pressure/area measurement, penetration studies and Brewster angle microscopy experiments. The BCE formulation was shown to be non-toxic to the skin cells at the concentrations applied. Model membrane experiments confirmed that BCE components do not incorporate into keratinocyte and fibroblast membranes at membrane-related conditions. However, they alter morphology of the studied systems by acting in the region of polar head. Significant differences were found in the affinity of the BCE formulation for bacteria compared to skin lipids, consistent with the proven antibacterial effect of the preservative while lacking toxicity to skin cells. Thus, the membrane of the cell may be critical to the selectivity of the chemicals being tested.

Lagerstroemin from Lagerstroemia speciosa as Antibreast Cancer Candidate Targeting AURKA, EGFR and SRC Protein: A Comprehensive Computational Study

Breast cancer is a type of cancer that has a high rate of diagnosis and mortality in the world. Lagerestroemia speciosa is a herb that has anticancer activity. This study aims to analyze the compounds in L. speciosa that most act as anticancer of the breast. The compounds in L. speciosa were selected based on drug-likeness, physicochemical properties, ability to penetrate the lipid bilayer and toxicity. The Lagerstroemin target related to Lagestroemin breast cancer was predicted using DisGeNET, SWISS Target Prediction and cBioportal. Molecular docking between Lagerstroemin and AURKA, EGFR and SRC was performed using AutoDock Vina. The interaction stability of each complex was analyzed by molecular dynamic simulation using YASARA with parameters of RMSD protein, RMSD ligand, number of hydrogen bonds and molecular dynamic binding energy. Of the 22 compounds, Quercetin, Caffeic acid, Lagerstroemin and Dypirone were predicted to have good ADME properties and can easily penetrate lipid membranes. Therefore, Quercetin, Caffeic acid and Lagerstroemin were predicted to have anti-breast cancer bioactivity. Of the 3 compounds, Lagerstroemin had the lowest toxicity. Lagerstroemin was predicted to interact with breast cancer-related proteins AURKA, EGFR and SRC. Molecular docking and dynamics showed that Lagerestroemin interacted stably at the ATP binding site of the 3 proteins, so it was very potential as an inhibitor of these 3 proteins. Therefore, Lagerstroemin was predicted to be the compound in L. speciosa with the most potential breast anticancer agent by targeting AURKA, EGFR and SRC. HIGHLIGHTS Quercetin, Caffeic acid and Lagerstroemin from Lagerstroemia speciosa show promising anticancer properties for breast cancer treatment. Lagerstroemin stands out with low toxicity and potent anticancer activity, suggesting its safety and effectiveness as a therapeutic agent. Lagerstroemin interacts stably with breast cancer-related proteins AURKA, EGFR and SRC, indicating its potential as a powerful inhibitor targeting key pathways in breast cancer. GRAPHICAL ABSTRACT

Bioavailability of Acemanan: An Active Compound Found in Aloe Gel

Acemannan is said to be the biologically active substance in aloe vera (Aloe barbadensis). Many producers of aloe products utilize inadequate production and extraction methods, resulting in aloe products that contain little or no acemannan. This article outlines a systematic procedure for extracting the bioactive polysaccharide compound from the aloe plant. This paper also provides a description of the physical distinctive features of acemannan. The study also emphasized the determination of physical properties, such as the pKa and Log P values, of acemannan. The physical characteristics were used to evaluate the bioavailability and hydrophilicity of this chemical. The primary approach used to acquire these physical characteristics involves the extraction of acemannan from aloe vera, the creation of phosphate buffer with varying pH levels, the separation of acemannan between chloroform and buffer using the shake flask technique, and the utilization of spectrophotometric analysis. Chloroform was used as a representation of the lipid membrane in the experiment, whereas phosphate buffer was utilized to symbolize the blood. A buffer solution was used to maintain a steady pH at a desired value. The acemannan compound had a pKa value of 4.82 at a pH of 3.45, indicating its acidity. Additionally, the Log P value (chloroform/buffer) was determined to be -3.282, indicating its hydrophobicity. Thus, it was deduced that acemannan exhibited hydrophilic properties throughout the gastrointestinal system.

Probing the relevance of synergistic lipid membrane disruption to the eye irritation of binary mixed nonionic surfactants

Nonionic surfactant aerosols play a crucial role in many industries, but they can cause acute irritation to users’ eyes during spraying. This cytotoxic process is associated with corneal cell necrosis causing cell membrane disruption. Industrial grade surfactants are typically polydisperse mixtures described by their nominal chemical structure but how the polydispersity affects their interactions with cell membrane, remains largely unexplored. A better understanding could benefit product formulations to maximise their efficiency whilst minimising their toxicity to the users. In this study, poly-oxyethylene glycol monododecyl ethers (C12E4, C12E23) were used to form ideal binary surfactant mixtures. The cytotoxicities of mono and polydispersed surfactants towards human corneal epithelial cells were examined, followed by a series of biophysical characterisations of interactions between surfactants and model cell membranes. Notably, to probe the journey of individual C12E4 and C12E23 surfactant molecules across the cell membrane from a binary surfactant mixture, “two-colour” neutron reflection measurements were achieved via Hydrogen/Deuterium substitution. The relative distributions of C12E4 and C12E23 across cell membranes and their nanostructural conformations revealed a synergistic membrane-lytic ability initiated by surfactant mixing, with the more hydrophobic C12E4 exhibiting stronger membrane binding potency than the hydrophilic C12E23. The exact molar ratio of C12E4 against C12E23 in the mixture determined how the mixed surfactant interacted with the cell membrane, and how the process directly impacted cytotoxicity and eye irritation. Thus, the cytotoxicity of polydisperse surfactants is not the same as monodisperse surfactant of the same average structure. This work provides a useful basis for the assessment of surfactant mixing by balancing their efficiency and toxicity.

Assessing the Interaction between Dodecylphosphocholine and Dodecylmaltoside Mixed Micelles as Drug Carriers with Lipid Membrane: A Coarse-Grained Molecular Dynamics Simulation.

Integrating drugs into cellular membranes efficiently is a significant challenge in drug delivery systems. This study aimed to overcome these barriers by utilizing mixed micelles to enhance drug incorporation into cell membranes. We employed coarse-grained molecular dynamics (MD) simulations to investigate the stability and efficacy of micelles composed of dodecylphosphocholine (DPC), a zwitterionic surfactant, and dodecylmaltoside (DDM), a nonionic surfactant, at various mixing ratios. Additionally, we examined the incorporation of a mutated form of Indolicidin (IND) (CP10A), an anti-HIV peptide, into these micelles. This study provides valuable insights for the development of more effective drug delivery systems by optimizing the mixing ratios of DPC and DDM. By balancing stability and penetration efficiency, these mixed micelles can improve the delivery of drugs that face challenges crossing lipid membranes. Such advancements can enhance the efficacy of treatments for various conditions, including viral infections and cancer, by ensuring that therapeutic agents reach their intended cellular targets more effectively.

Biomolecular Neuristors from Functionalized Lipid Membranes

AbstractModeled after biological neurons, neuristors are emerging hardware that generate recurring voltage spikes in response to electrical stimulation. This type of excitability can enable transistor‐free spiking neural networks for efficient signal processing and computing. Yet, most neuristors consist of circuits containing numerous devices, thus complicating fabrication and increasing size, power usage, and cost. In contrast, it is shown that a single, 5nm‐thick lipid membrane functionalized with voltage‐activated peptides functions as a two‐terminal, ultra‐low power (fW‐pW) artificial neuristor in response to supplied current. Specifically, the biomolecular membrane generates stochastic voltage oscillations (10–150 mV) in response to direct currents (|5–40| pA), and is capable of generating two distinct types of action potentials fast (≈1–50 ms) and slow (≈1–2 s) spikes via distinct physical mechanisms. This discovery showcases the inherent multifunctionality and modularity of engineered biomembranes, and it contributes to an expanding suite of ionic and biomolecular devices designed with synapse and neuron functionalities for emerging computing architectures.

Radiobiological Applications of Vibrational Spectroscopy: A Review of Analyses of Ionising Radiation Effects in Biology and Medicine

Vibrational spectroscopic techniques, such as Fourier transform infrared (FTIR) absorption and Raman spectroscopy (RS), offer unique and detailed biochemical fingerprints by detecting specific molecular vibrations within samples. These techniques provide profound insights into the molecular alterations induced by ionising radiation, which are both complex and multifaceted. This paper reviews the application of rapid and label-free vibrational spectroscopic methods for assessing biological radiation responses. These assessments span from early compartmentalised models such as DNA, lipid membranes, and vesicles to comprehensive evaluations in various living biological models, including tissues, cells, and organisms of diverse origins. The review also discusses future perspectives, highlighting how the field is overcoming methodological limitations. RS and FTIR have demonstrated significant potential in detecting radiation-induced biomolecular alternations, which may facilitate the identification of radiation exposure spectral biomarkers/profiles.

A chemo-mechanical model for growth and mechanosensing of focal adhesion

Focal adhesion (FA), the complex molecular assembly across the lipid membrane, serves as a hub for physical and chemical information exchange between cells and their microenvironment. Interestingly, studies have shown that FAs can grow along the direction of contractile forces generated by actomyosin stress fibers and achieve larger sizes on stiffer substrates. In addition, the cellular traction transmitted to the substrate was observed to reach the maximum near the FA center. However, the biomechanical mechanisms behind these intriguing findings remain unclear. To answer this important question, here we first developed a one-dimensional (1D) chemo-mechanical model of FA where key features like adhesion plaque deformation, active contraction by stress fibers, force-dependent association/dissociation of integrin bonds connecting two surfaces, and substrate compliance have all been considered. Within this formulation, we showed that the rigidity-sensing capability of FAs originates from the deformability of stress fibers while the force-dependent breakage of integrin bonds leads to the appearance of the traction peak at the FA center. Furthermore, by extending the model into three-dimensional as well as incorporating assembly/dis-assembly kinetics of adhesion proteins, we also demonstrated how anisotropic stress/strain field within the adhesion plaque will be induced by the presence of contractile forces which leads to the directional growth of the FA.

PSVI-14 Effects of poor maternal nutrition during gestation on first generation offspring oxidative status in skeletal muscle

Abstract Poor maternal nutrition (restricted- and over-nutrition) during gestation negatively impacts offspring pre- and post-natal growth. Previous work has identified decreased muscle mass and increased adiposity, leading to poor quantity and quality of animal protein products. Alterations in oxidative status, such as the imbalance of antioxidant activity and the production of free radicals, can result in oxidative stress damaging lipid membranes, proteins, and DNA. Changes in oxidative status may contribute to the poor growth outcomes observed in offspring from poorly nourished dams. Therefore, the objective of this research was to determine the effects of poor maternal nutrition during gestation on the oxidative status in offspring skeletal muscle in sheep. We hypothesized that offspring of restricted- and over-fed ewes would have decreased antioxidant activity and increased products of oxidative stress in skeletal muscle. To test this hypothesis, multiparous Dorset ewes (n = 46) pregnant with twins were fed 100% (CON), 60% (RES), or 140% (OVER) of total nutrient requirements (NRC) from d 30 of gestation until parturition. Following parturition, ewes were fed a control diet throughout lactation. At d 282 of age semitendinosus (STN) samples were collected from rams at necropsy, and at d 284 of age muscle biopsies from STN were collected from ewes. Data were analyzed in SAS using PROC MIXED with fixed effects of maternal diet and offspring sex. Data were considered significant at P ≤ 0.05. The activity of the endogenous antioxidant superoxide dismutase (SOD) was decreased by 45% and 33% in RES and OVER offspring, respectively, compared with CON (P ≤ 0.01). Offspring sex did not alter STN SOD activity (P = 0.35). Muscle glutathione peroxidase (GPx) activity was decreased in RES offspring by 20% compared with CON (P ≤ 0.04), but neither differed from OVER offspring (P ≥ 0.24). Ewes had 34% greater GPx activity compared with rams (P < 0.0001). Offspring from RES and OVER ewes had 77% and 87% greater concentrations of malondialdehyde (MDA), a marker of lipid peroxidation, when compared with CON (P < 0.0001). Ewes had 29% greater MDA concentrations compared with rams (P = 0.05). Protein carbonyl (PC), a marker of protein oxidation, concentrations were 36% and 38% greater in RES and OVER offspring, respectively, compared with CON (P ≤ 0.01). The decrease in antioxidant activities and increase in products of protein and lipid oxidation in offspring from poorly nourished dams suggests dysregulation in skeletal muscle oxidative status that may contribute to the negative consequences observed in offspring. Future work should focus on determining the mechanistic role of skeletal muscle oxidative stress in the decreased quantity and quality of animal protein products and identifying potential strategies to mitigate alterations in oxidative status as a result of poor maternal nutrition during gestation.

How Bacteria Establish and Maintain Outer Membrane Lipid Asymmetry.

Gram-negative bacteria build an asymmetric outer membrane (OM), with lipopolysaccharides (LPS) and phospholipids (PLs) occupying the outer and inner leaflets, respectively. This distinct lipid arrangement is widely conserved within the Bacteria domain and confers strong protection against physical and chemical insults. The OM is physically separated from the inner membrane and the cytoplasm, where most cellular resources are located; therefore, the cell faces unique challenges in the assembly and maintenance of this asymmetric bilayer. Here, we present a framework for how gram-negative bacteria initially establish and continuously maintain OM lipid asymmetry, discussing the state-of-the-art knowledge of specialized lipid transport machines that place LPS and PLs directly into their corresponding leaflets in the OM, prevent excess PL accumulation and mislocalization, and correct any lipid asymmetry defects. We critically assess current studies, or the lack thereof, and highlight important future directions for research on OM lipid transport, homeostasis, and asymmetry.