The Regulation of Vascular Endothelial Growth Factor-induced Microvascular Permeability Requires Rac and Reactive Oxygen Species

Vascular permeability is a complex process involving the coordinated regulation of multiple signaling pathways in the endothelial cell. It has long been documented that vascular endothelial growth factor (VEGF) greatly enhances microvascular permeability; however, the molecular mechanisms controlling VEGF-induced permeability remain unknown. Treatment of microvascular endothelial cells with VEGF led to an increase in reactive oxygen species (ROS) production. ROS are required for VEGF-induced permeability as treatment with the free radical scavenger, N-acetylcysteine, inhibited this effect. Additionally, treatment with VEGF caused ROS-dependent tyrosine phosphorylation of both vascular-endothelial (VE)-cadherin and β-catenin. Rac1 was required for the VEGF-induced increase in permeability and adherens junction protein phosphorylation. Knockdown of Rac1 inhibited VEGF-induced ROS production consistent with Rac lying upstream of ROS in this pathway. Collectively, these data suggest that VEGF leads to a Rac-mediated generation of ROS, which, in turn, elevates the tyrosine phosphorylation of VE-cadherin and β-catenin, ultimately regulating adherens junction integrity.Endothelial cells line the inside of blood vessels and serve as a barrier between circulating blood and the surrounding tissues. Endothelial permeability is mediated by two pathways: the transcellular pathway and the paracellular pathway. In the transcellular pathway material passes through the cells, whereas in the paracellular pathway fluid and macromolecules pass between the cells. The paracellular pathway is regulated by the properties of endothelial cell-cell junctions (1–3). Changes in the permeability of this barrier are tightly regulated under normal physiological conditions. However, dysregulated vascular permeability is observed in many life-threatening conditions, including heart disease, cancer, stroke, and diabetes.VEGF² was first discovered as a potent vascular permeability factor that stimulated a rapid and reversible increase in microvascular permeability without damaging the endothelial cell (4, 5). VEGF was later shown to be a selective growth factor for endothelial cells, capable of promoting migration, growth, and survival (6). Considerable progress has been made toward understanding the signaling events by which VEGF promotes growth and survival (7). However, the mechanism through which VEGF promotes microvascular permeability remains incompletely understood.VE-cadherin is an endothelial cell-specific adhesion molecule that connects adjacent endothelial cells (8, 9). While the barrier function of the endothelium is supported by multiple cell-cell adhesion systems, disruption of VE-cadherin is sufficient to disrupt intercellular junctions (9–11). Earlier studies have demonstrated increased permeability both in vitro and in vivo after treatment with VE-cadherin-blocking antibodies (9, 12). Additionally, VE-cadherin is required to prevent disassembly of blood vessel walls (11, 13) and to coordinate the passage of macromolecules through the endothelium (14, 15). Tyrosine phosphorylation may provide the regulatory link, as increased phosphorylation of cadherins and potential dissociation of the cadherin/catenin complex results in decreased cell-cell adhesion and increased permeability (16, 17).Recent evidence has demonstrated that Rac1-induced reactive oxygen species (ROS) disrupt VE-cadherin based cell-cell adhesion (18). The mechanisms by which ROS affect endothelial permeability have not been fully characterized. VEGF has been reported to induce NADPH oxidase activity and induce the formation of ROS (19, 20). A direct link between Rac and ROS in a non-phagocytic cell was shown in 1996, when it was demonstrated that activated Rac1 resulted in the increased generation of ROS in fibroblasts (21). Several studies have subsequently implicated Rac-mediated production of ROS in a variety of cellular responses, in particular in endothelial cells (22, 23). These data suggest that ROS may play a critical role in integrating signals from VEGF and Rac to regulate the phosphorylation of VE-cadherin and ultimately the integrity of the endothelial barrier.In the present study we sought to determine the mechanism by which VEGF regulates microvascular permeability. Our results show that VEGF treatment of human microvascular endothelial cells results in the Rac-dependent production of ROS and the subsequent tyrosine phosphorylation of VE-cadherin and β-catenin. The phosphorylation of VE-cadherin and β-catenin are dependent on Rac and ROS and result in decreased junctional integrity and enhanced vascular permeability.     

Transient Oxidative Stress Damages Mitochondrial Machinery Inducing Persistent ��-Cell Dysfunction

Transient exposure of β-cells to oxidative stress interrupts the transduction of signals normally coupling glucose metabolism to insulin secretion. We investigated putative persistence of effects induced by one transient oxidative stress (200 μm H₂O₂, 10 min) on insulin secreting cells following recovery periods of days and weeks. Three days after oxidative stress INS-1E cells and rat islets exhibited persistent dysfunction. In particular, the secretory response to 15 mm glucose was reduced by 40% in INS-1E cells stressed 3 days before compared with naïve cells. Compared with non-stressed INS-1E cells, we observed reduced oxygen consumption (−43%) and impaired glucose-induced ATP generation (−46%). These parameters correlated with increased mitochondrial reactive oxygen species formation (+60%) accompanied with down-regulation of subunits of the respiratory chain and decreased expression of genes responsible for mitochondrial biogenesis (TFAM, −24%; PGC-1α, −67%). Three weeks after single oxidative stress, both mitochondrial respiration and secretory responses were recovered. Moreover, such recovered INS-1E cells exhibited partial resistance to a second transient oxidative stress and up-regulation of UCP2 (+78%) compared with naïve cells. In conclusion, one acute oxidative stress induces β-cell dysfunction lasting over days, explained by persistent damages in mitochondrial components.Pancreatic β-cells are poised to sense blood glucose to regulate insulin exocytosis and thereby glucose homeostasis. The conversion from metabolic signals to secretory responses is mediated through mitochondrial metabolism (1). Failure of the insulin secreting β-cells, a common characteristic of both type 1 and type 2 diabetes, derives from various origins, among them mitochondrial impairment secondary to oxidative stress is a proposed mechanism (2).Oxidative stress is characterized by a persistent imbalance between excessive production of reactive oxygen species (ROS)³ and limited antioxidant defenses. Examples of ROS include superoxide (O₂^−̇), hydroxyl radical (OH^⋅), and hydrogen peroxide (H₂O₂). Superoxide can be converted to less reactive H₂O₂ by superoxide dismutase (SOD) and then to oxygen and water by catalase (CAT), glutathione peroxidase (GPx), and peroxiredoxin, which constitute antioxidant defenses. Increased oxidative stress and free radical damages have been proposed to participate in the diabetic state (3). In type 1 diabetes, ROS are implicated in β-cell dysfunction caused by autoimmune reactions and inflammatory cytokines (4). In the context of type 2 diabetes, excessive ROS could promote deficient insulin synthesis (5, 6) and apoptotic pathways in β-cells (5, 7). Of note, ROS fluctuations may also contribute to physiological control of cell functions (8), including the control of insulin secretion (9). It should also be stressed that metabolism of physiological nutrient increases ROS without causing deleterious effects on cell function. However, uncontrolled increase of oxidants, or reduction of their detoxification, leads to free radical-mediated chain reactions ultimately triggering pathogenic events. Pancreatic β-cells are relatively weak in expressing free radical-quenching enzymes SOD, CAT, and GPx (10, 11), rendering those cells particularly susceptible to oxidative attacks (12). Mitochondria are not only the main source of cellular oxidants, they are also the primary target of ROS (13, 14).Mitochondria are essential for pancreatic β-cell function, and damages to these organelles are well known to markedly alter glucose-stimulated insulin secretion (15). The mitochondrial genome constitutes one of the targets, encoding for 13 polypeptides essential for the integrity of electron transport chain (16). Damages to mitochondrial DNA (mtDNA) induce mutations that in turn may favor ROS generation, although the contribution of mtDNA mutations to ROS generation remains unclear. We previously reported that patient-derived mitochondrial A3243G mutation, causing mitochondrial inherited diabetes, is responsible for defective mitochondrial metabolism associated with elevated ROS levels and reduced antioxidant enzyme expression (17). On the other hand, mtDNA mutator mice exhibit accelerated aging without changes in superoxide levels in embryonic fibroblasts (18), showing that ROS generation can be dissociated from mtDNA mutations.In humans, mitochondrial defects typically appear with aging (19), accompanied by sustained ROS generation and progressive oxidant-induced damages (20). In support of this “mitochondrial theory of aging” (21), accumulating evidence shows that in older individuals mitochondria are altered, both morphologically and functionally (22). These age-related mitochondrial changes are foreseen to play a role in the late onset diabetes. In a rat model of intrauterine growth retardation, a vicious cycle between accumulation of mtDNA mutations and elevation of ROS production has been associated to β-cell abnormalities and the onset of type 2 diabetes in adulthood (23). Similarly, mitochondrion-derived ROS impair β-cell function in the Zucker diabetic fatty rat (24). Altogether, these observations point to ROS action as a triggering event inducing mitochondrial dysfunction and ultimately resulting in the loss of the secretory response in β-cells (14).In vitro, oxidative stress applied to β-cells rapidly interrupts the transduction of signals normally coupling glucose metabolism to insulin secretion (12, 25). Specifically, we reported that INS-1E β-cells and rat islets subjected to a 10-min H₂O₂ exposure exhibit impaired secretory response associated with mitochondrial dysfunction appearing already during the first minutes of oxidative stress (12). In the context of the mitochondrial theory of aging (21, 26), it is important to know whether transient exposure to H₂O₂ could possibly induce persistent modifications of mitochondrial function. Cells surviving an oxidative stress might carry defects leading to progressive loss of β-cell function. In the present study, we asked the simple but unanswered question if a short transient oxidative stress could induce durable alterations of the mitochondria and thereby chronically impair β-cell function. INS-1E β-cells and rat islets were transiently exposed to H₂O₂ for 10 min and analyzed after days and weeks of standard tissue culture.     

The Interplay of Light and Oxygen in the Reactive Oxygen Stress Response of Chlamydomonas reinhardtii Dissected by Quantitative Mass Spectrometry

Light and oxygen are factors that are very much entangled in the reactive oxygen species (ROS) stress response network in plants, algae and cyanobacteria. The first obligatory step in understanding the ROS network is to separate these responses. In this study, a LC-MS/MS based quantitative proteomic approach was used to dissect the responses of Chlamydomonas reinhardtii to ROS, light and oxygen employing an interlinked experimental setup. Application of novel bioinformatics tools allow high quality retention time alignment to be performed on all LC-MS/MS runs increasing confidence in protein quantification, overall sequence coverage and coverage of all treatments measured. Finally advanced hierarchical clustering yielded 30 communities of co-regulated proteins permitting separation of ROS related effects from pure light effects (induction and repression). A community termed redox^II was identified that shows additive effects of light and oxygen with light as the first obligatory step. Another community termed 4-down was identified that shows repression as an effect of light but only in the absence of oxygen indicating ROS regulation, for example, possibly via product feedback inhibition because no ROS damage is occurring. In summary the data demonstrate the importance of separating light, O₂ and ROS responses to define marker genes for ROS responses. As revealed in this study, an excellent candidate is DHAR with strong ROS dependent induction profiles.Life originated in an environment in which the atmosphere was reducing. More than 2.2 Gyr ago, photosynthetic bacteria managed to extract electrons from water, thereby releasing oxygen (O₂) as a side product (1). Although molecular O₂ is a triplet state (³O₂), and is thus kinetically inhibited, its related reactive oxygen species (ROS)¹, i.e., superoxide (O₂^•−), peroxides (ROOR), singlet oxygen (¹O₂), and hydroxyl radicals (HO^•) are not. Nevertheless, molecular O₂ itself oxidizes biomolecules, for example, thiol groups, albeit at a much slower rate. The fundamental change in environment and the appearance of O₂ and ROS triggered the biggest mass extinction ever seen on Earth (2, 3). Soon after, the much more efficient O₂ based metabolism (compared with fermentation) lead to an evolutionary explosion (4). Today, cells obtain energy from reduced organic molecules through O₂ based respiration.In the past ROS were associated with cellular stress but strong evidence points toward a cellular ROS network that keeps ROS production and ROS scavenging in tight balance to ensure the maintenance of the cellular redox homeostasis and protection against ROS stress (5, 6). An imbalance in this network has been associated with a wide array of human diseases such as cancer (7), neurodegeneration (8), Keshan disease (9), and many others (see also review (6)), although arguments have been brought forward that the origin of some diseases is not directly linked to ROS and that ROS are more likely to be the result of deteriorating cells (10). In any case, the cellular ROS network response to ROS stress is implicated in the progress of these diseases and understanding the network dynamics will have a significant impact in medicine.Equally important, reduced ROS capacity or imbalance in the ROS network results in decreased crop yields and simple attempts to increase production yields by increasing ROS scavenging capacities in plants failed because those plants lost their ability to mount a defense against pathogens efficiently by the hypersensitive reaction (11), which implicates intended localized high yield ROS production. On the other hand Chang et al. could show that the knock-out of glutathione peroxidase 7 (gpx7), i.e., reducing ROS scavenging capacity, leads to an increased pathogen resistance but, unfortunately, to an increased photosensitivity as well (12), thus resulting in reduced crop production. The quintessence is that plants require the ability to produce sufficient amounts of ROS as part of their defense mechanism yet require some ROS scavenging capacity because photosynthetic growth inevitably produces damaging ROS. In order to effectively mount a hypersensitivity defense reaction, the ROS scavenging capacities have to be suppressed. Thus understanding the ROS network is an important global issue in the light of hunger in some parts of the world and the need for biofuels. Elucidating the key players of the ROS network will allow high production crop plants to be designed.It seems clear that the ROS network, its dynamics and homeostasis are poorly understood. Understanding how to evaluate the ROS balance and how to restore ROS balance within a cell would have a strong impact on a medical and agricultural level. To put it in the words of Barry Halliwell: “the likely clinical value of ‘antioxidant therapy’ will depend on how well the exact role of reactive oxygen species,” i.e., the ROS network, “is known” (13).ROS can be divided into two classes, i.e., H₂O₂ and ¹O₂ based ones. Especially in plants, algae, and cyanobacteria, it is now widely accepted that the signaling pathways of H₂O₂ (14) and ¹O₂ (15) are complex and entangled (16, 17) simply through the nature of their production, i.e., via an active photosynthetic electron transport chain. However, there have been reports that clearly show the independence of H₂O₂ and ¹O₂ mediated responses (see e.g. (18, 19)). In Arabidopsis thaliana the ROS network, in particular the ¹O₂ aspect has been widely studied, but comprehensive proteomic studies are still required. The A. thaliana flu mutant was used to reveal ¹O₂ related retrograde signaling. The flu mutant accumulates protochlorophyllide when grown in the dark, and seedlings bleach and die whereas mature plants stop growing when transferred into light (20). ¹O₂ production yielded an induction of distinct genes and these differed significantly from genes induced by H₂O₂ (15). Apel and co-workers identified the chloroplast localized EXECUTER1/2 proteins as key players in ¹O₂ retrograde signaling (18, 21), highlighting that specific ¹O₂ induced signals trigger programmed cell death (PCD) rather than ROS induced damage. A flu-like gene (flp) was identified in Chlamydomonas reinhardtii, and its gene product FLP in its two splicing variants was shown to be involved in the chlorophyll biosynthesis (22). Regulation of FLPs were suggested to occur via light and retrograde plastid signals (22). The specific ¹O₂ signaling mechanism in A. thaliana was further extended by Ramel et al. (23). The authors could show that ¹O₂ induced damage to β-carotene, a major component in a ROS defense strategy, yields β-cyclocitral, which when produced and applied exogenously triggers a selective ¹O₂ response, similar to the one reported by Apel and co-workers when describing the effects of the flu mutant (15, 18, 21). However, the signaling pathways involving EXECUTER and β-cyclocitral show more and more independent features (see e.g. Lundquist et al. (24)).ROS production is an inevitable part of the oxygenic photosynthesis and thus can be controlled noninvasively by light intensities. This is why plants, algae, and cyanobacteria offer a unique opportunity to investigate the ROS network. However, in plants the majority of ROS is produced in the chloroplast requiring O₂ as educt and the presence of light. Therefore, careful separation of the light, O₂, and ROS responses is required. As a consequence, simple high light/low light comparisons are overshadowed by additional ROS production, and vice versa. A classical example is HSP70A in C. reinhardtii, which was originally reported to be light regulated (25) and later proven to be regulated by ROS (19), via two promoters that react specifically on H₂O₂ and ¹O₂, to be precise.We have devised an experimental setup, which allows the ROS, high light/low light (HL/LL) and aerobic/anaerobic (AR/AN) responses to be dissected on a proteome level using metabolic labeling and quantitative proteomics. We used an interlinked experimental setup that connects all four possible treatments in such a way that each treatment is compared with two other treatments. This offers a strong internal control because the changes in protein levels comparing two not directly connected treatments can be measured by two independent estimates. MS data was analyzed employing high quality retention time alignment to increase overall confidence in protein quantification, increase protein sequence coverage and increase coverage of all conditions. PyGCluster, a novel hierarchical clustering approach (26) was used to identify communities of proteins that are coregulated. Five communities/expression profiles are discussed: a) light and O₂ dependent induction, i.e., potential ROS related regulations, b) a novel regulation type, which shows induction of protein expression influenced additively by light and O₂, but with light as the obligatory first step, c) light related induction (O₂ independent), d) light dependent repression (O₂ independent), and e) light dependent repression in the absence of O₂, which might be a regulation linked to feedback inhibition by for example, molecules that are normally damaged by ROS.     

Regulation of Translation by the Redox State of Elongation Factor G in the Cyanobacterium Synechocystis sp. PCC 6803

Elongation factor G (EF-G), a key protein in translational elongation, was identified as a primary target of inactivation by reactive oxygen species within the translational machinery of the cyanobacterium Synechocystis sp. PCC 6803 (Kojima, K., Oshita, M., Nanjo, Y., Kasai, K., Tozawa, Y., Hayashi, H., and Nishiyama, Y. (2007) Mol. Microbiol. 65, 936–947). In the present study, we found that inactivation of EF-G (Slr1463) by H₂O₂ was attributable to the oxidation of two specific cysteine residues and formation of a disulfide bond. Substitution of these cysteine residues by serine residues protected EF-G from inactivation by H₂O₂ and allowed the EF-G to mediate translation in a translation system in vitro that had been prepared from Synechocystis. The disulfide bond in oxidized EF-G was reduced by thioredoxin, and the resultant reduced form of EF-G regained the activity to mediate translation in vitro. Western blotting analysis showed that levels of the oxidized form of EF-G increased under strong light in a mutant that lacked NADPH-thioredoxin reductase, indicating that EF-G is reduced by thioredoxin in vivo. These observations suggest that the translational machinery is regulated by the redox state of EF-G, which is oxidized by reactive oxygen species and reduced by thioredoxin, a transmitter of reducing signals generated by the photosynthetic transport of electrons.Reactive oxygen species (ROS)² are produced as inevitable by-products of the light-driven reactions of photosynthesis. The superoxide radical, hydrogen peroxide (H₂O₂), and the hydroxyl radical are produced as a result of the photosynthetic transport of electrons, whereas singlet state oxygen (singlet oxygen) is produced by the transfer of excitation energy (1). Exposure of the photosynthetic machinery to strong light promotes the production of ROS and gives rise to oxidative stress (1).Strong light rapidly inactivates photosystem II (PSII). This phenomenon is referred to as photoinhibition (2–4), and it occurs when the rate of photodamage to PSII exceeds the rate of the repair of photodamaged PSII (5). The actions of ROS in the photoinhibition of PSII have been studied extensively, and several mechanisms for photoinhibition have been proposed (5). Recent studies of the effects of ROS on photodamage and repair have revealed that ROS act primarily by inhibiting the repair of photodamaged PSII and not by damaging PSII directly (5–9). Such studies have also shown that photodamage to PSII is an exclusively light-dependent event; photodamage is initiated by disruption of the manganese cluster of the oxygen-evolving complex upon absorption of light, in particular UV and blue light, with subsequent damage to the reaction center upon absorption of visible light by chlorophylls (10–12).Inhibition of the repair of PSII has been attributed to the suppression, by ROS, of the synthesis de novo of proteins that are required for the repair of PSII, such as the D1 protein, which forms a heterodimer with the D2 protein in the reaction center, in the cyanobacterium Synechocystis sp. PCC 6803 (hereafter referred to as Synechocystis) (6, 7), in Chlamydomonas (13), and in plants (14, 15). Analysis of polysomes in Synechocystis has demonstrated that ROS inhibit the synthesis de novo of proteins primarily at the elongation step of translation, suggesting that some proteins involved in translational elongation might be the targets of inactivation by ROS (6, 7).A translation system in vitro was successfully prepared from Synechocystis, and biochemical investigations using this translation system have revealed that elongation factor G (EF-G), a GTP-binding protein that catalyzes the translocation of peptidyl-tRNA (16), is a primary target of inactivation by ROS (17). EF-G is reversibly inactivated by ROS in a redox-dependent manner; it is inactive in the oxidized form and active in the reduced form (17). Moreover, it has been proposed that changes in the activity of EF-G might depend on and be regulated by the redox states of cysteine residues within EF-G (17). However, the specific cysteine residues within EF-G that might be the targets of ROS and might be responsible for redox regulation remain to be determined.In the present study, we investigated the redox state of Slr1463, the EF-G that is phylogenetically closest to chloroplast EF-G among three homologs of EF-G in Synechocystis (17). We determined that two specific cysteine residues in the EF-G of Synechocystis were targets of oxidation by ROS. The resultant disulfide bond between the two cysteine residues was efficiently reduced by thioredoxin. In addition, we observed that EF-G was reduced by thioredoxin in vivo. Our findings revealed the mechanism of the ROS-induced inactivation of EF-G and suggested a mechanism for the redox regulation of translation by electrons generated during photosynthesis.     

Loop 2 Structure in Glycine and GABAA Receptors Plays a Key Role in Determining Ethanol Sensitivity

The present study tests the hypothesis that the structure of extracellular domain Loop 2 can markedly affect ethanol sensitivity in glycine receptors (GlyRs) and γ-aminobutyric acid type A receptors (GABA_ARs). To test this, we mutated Loop 2 in the α1 subunit of GlyRs and in the γ subunit of α1β2γ2GABA_ARs and measured the sensitivity of wild type and mutant receptors expressed in Xenopus oocytes to agonist, ethanol, and other agents using two-electrode voltage clamp. Replacing Loop 2 of α1GlyR subunits with Loop 2 from the δGABA_AR (δL2), but not the γGABA_AR subunit, reduced ethanol threshold and increased the degree of ethanol potentiation without altering general receptor function. Similarly, replacing Loop 2 of the γ subunit of GABA_ARs with δL2 shifted the ethanol threshold from 50 mm in WT to 1 mm in the GABA_A γ-δL2 mutant. These findings indicate that the structure of Loop 2 can profoundly affect ethanol sensitivity in GlyRs and GABA_ARs. The δL2 mutations did not affect GlyR or GABA_AR sensitivity, respectively, to Zn²⁺ or diazepam, which suggests that these δL2-induced changes in ethanol sensitivity do not extend to all allosteric modulators and may be specific for ethanol or ethanol-like agents. To explore molecular mechanisms underlying these results, we threaded the WT and δL2 GlyR sequences onto the x-ray structure of the bacterial Gloeobacter violaceus pentameric ligand-gated ion channel homologue (GLIC). In addition to being the first GlyR model threaded on GLIC, the juxtaposition of the two structures led to a possible mechanistic explanation for the effects of ethanol on GlyR-based on changes in Loop 2 structure.Alcohol abuse and dependence are significant problems in our society, with ∼14 million people in the United States being affected (1, 2). Alcohol causes over 100,000 deaths in the United States, and alcohol-related issues are estimated to cost nearly 200 billion dollars annually (2). To address this, considerable attention has focused on the development of medications to prevent and treat alcohol-related problems (3–5). The development of such medications would be aided by a clear understanding of the molecular structures on which ethanol acts and how these structures influence receptor sensitivity to ethanol.Ligand-gated ion channels (LGICs)² have received substantial attention as putative sites of ethanol action that cause its behavioral effects (6–12). Research in this area has focused on investigating the effects of ethanol on two large superfamilies of LGICs: 1) the Cys-loop superfamily of LGICs (13, 14), whose members include nicotinic acetylcholine, 5-hydroxytryptamine₃, γ-aminobutyric acid type A (GABA_A), γ-aminobutyric acid type C, and glycine receptors (GlyRs) (10, 11, 15–20) and 2) the glutamate superfamily, including N-methyl d-aspartate, α-amino-3-hydroxyisoxazolepropionic acid, and kainate receptors (21, 22). Recent studies have also begun investigating ethanol action in the ATP-gated P2X superfamily of LGICs (23–25).A series of studies that employed chimeric and mutagenic strategies combined with sulfhydryl-specific labeling identified key regions within Cys-loop receptors that appear to be initial targets for ethanol action that also can determine the sensitivity of the receptors to ethanol (7–12, 18, 19, 26–30). This work provides several lines of evidence that position 267 and possibly other sites in the transmembrane (TM) domain of GlyRs and homologous sites in GABA_ARs are targets for ethanol action and that mutations at these sites can influence ethanol sensitivity (8, 9, 26, 31).Growing evidence from GlyRs indicates that ethanol also acts on the extracellular domain. The initial findings came from studies demonstrating that α1GlyRs are more sensitive to ethanol than are α2GlyRs despite the high (∼78%) sequence homology between α1GlyRs and α2GlyRs (32). Further work found that an alanine to serine exchange at position 52 (A52S) in Loop 2 can eliminate the difference in ethanol sensitivity between α1GlyRs and α2GlyRs (18, 20, 33). These studies also demonstrated that mutations at position 52 in α1GlyRS and the homologous position 59 in α2GlyRs controlled the sensitivity of these receptors to a novel mechanistic ethanol antagonist (20). Collectively, these studies suggest that there are multiple sites of ethanol action in α1GlyRs, with one site located in the TM domain (e.g. position 267) and another in the extracellular domain (e.g. position 52).Subsequent studies revealed that the polarity of the residue at position 52 plays a key role in determining the sensitivity of GlyRs to ethanol (20). The findings with polarity in the extracellular domain contrast with the findings at position 267 in the TM domain, where molecular volume, but not polarity, significantly affected ethanol sensitivity (9). Taken together, these findings indicate that the physical-chemical parameters of residues at positions in the extracellular and TM domains that modulate ethanol effects and/or initiate ethanol action in GlyRs are not uniform. Thus, knowledge regarding the physical-chemical properties that control agonist and ethanol sensitivity is key for understanding the relationship between the structure and the actions of ethanol in LGICs (19, 31, 34–40).GlyRs and GABA_ARs, which differ significantly in their sensitivities to ethanol, offer a potential method for identifying the structures that control ethanol sensitivity. For example, α1GlyRs do not reliably respond to ethanol concentrations less than 10 mm (32, 33, 41). Similarly, γ subunit-containing GABA_ARs (e.g. α1β2γ2), the most predominantly expressed GABA_ARs in the central nervous system, are insensitive to ethanol concentrations less than 50 mm (42, 43). In contrast, δ subunit-containing GABA_ARs (e.g. α4β3δ) have been shown to be sensitive to ethanol concentrations as low as 1–3 mm (44–51). Sequence alignment of α1GlyR, γGABA_AR, and δGABA_AR revealed differences between the Loop 2 regions of these receptor subunits. Since prior studies found that mutations of Loop 2 residues can affect ethanol sensitivity (19, 20, 39), the non-conserved residues in Loop 2 of GlyR and GABA_AR subunits could provide the physical-chemical and structural bases underlying the differences in ethanol sensitivity between these receptors.The present study tested the hypothesis that the structure of Loop 2 can markedly affect the ethanol sensitivity of GlyRs and GABA_ARs. To accomplish this, we performed multiple mutations that replaced the Loop 2 region of the α1 subunit in α1GlyRs and the Loop 2 region of the γ subunit of α1β2γ2 GABA_ARs with corresponding non-conserved residues from the δ subunit of GABA_AR and tested the sensitivity of these receptors to ethanol. As predicted, replacing Loop 2 of WT α1GlyRs with the homologous residues from the δGABA_AR subunit (δL2), but not the γGABA_AR subunit (γL2), markedly increased the sensitivity of the receptor to ethanol. Similarly, replacing the non-conserved residues of the γ subunit of α1β2γ2 GABA_ARs with δL2 also markedly increased ethanol sensitivity of GABA_ARs. These findings support the hypothesis and suggest that Loop 2 may play a role in controlling ethanol sensitivity across the Cys-loop superfamily of receptors. The findings also provide the basis for suggesting structure-function relationships in a new molecular model of the GlyR based on the bacterial Gloeobacter violaceus pentameric LGIC homologue (GLIC).     

Identification and Quantification of Glycoproteins Using Ion-Pairing Normal-phase Liquid Chromatography and Mass Spectrometry

Glycoprotein structure determination and quantification by MS requires efficient isolation of glycopeptides from a proteolytic digest of complex protein mixtures. Here we describe that the use of acids as ion-pairing reagents in normal-phase chromatography (IP-NPLC) considerably increases the hydrophobicity differences between non-glycopeptides and glycopeptides, thereby resulting in the reproducible isolation of N-linked high mannose type and sialylated glycopeptides from the tryptic digest of a ribonuclease B and fetuin mixture. The elution order of non-glycopeptides relative to glycopeptides in IP-NPLC is predictable by their hydrophobicity values calculated using the Wimley-White water/octanol hydrophobicity scale. O-linked glycopeptides can be efficiently isolated from fetuin tryptic digests using IP-NPLC when N-glycans are first removed with PNGase. IP-NPLC recovers close to 100% of bacterial N-linked glycopeptides modified with non-sialylated heptasaccharides from tryptic digests of periplasmic protein extracts from Campylobacter jejuni 11168 and its pglD mutant. Label-free nano-flow reversed-phase LC-MS is used for quantification of differentially expressed glycopeptides from the C. jejuni wild-type and pglD mutant followed by identification of these glycoproteins using multiple stage tandem MS. This method further confirms the acetyltransferase activity of PglD and demonstrates for the first time that heptasaccharides containing monoacetylated bacillosamine are transferred to proteins in both the wild-type and mutant strains. We believe that IP-NPLC will be a useful tool for quantitative glycoproteomics.Protein glycosylation is a biologically significant and complex post-translational modification, involved in cell-cell and receptor-ligand interactions (1–4). In fact, clinical biomarkers and therapeutic targets are often glycoproteins (5–9). Comprehensive glycoprotein characterization, involving glycosylation site identification, glycan structure determination, site occupancy, and glycan isoform distribution, is a technical challenge particularly for quantitative profiling of complex protein mixtures (10–13). Both N- and O-glycans are structurally heterogeneous (i.e. a single site may have different glycans attached or be only partially occupied). Therefore, the MS¹ signals from glycopeptides originating from a glycoprotein are often weaker than from non-glycopeptides. In addition, the ionization efficiency of glycopeptides is low compared with that of non-glycopeptides and is often suppressed in the presence of non-glycopeptides (11–13). When the MS signals of glycopeptides are relatively high in simple protein digests then diagnostic sugar oxonium ion fragments produced by, for example, front-end collisional activation can be used to detect them. However, when peptides and glycopeptides co-elute, parent ion scanning is required to selectively detect the glycopeptides (14). This can be problematic in terms of sensitivity, especially for detecting glycopeptides in digests of complex protein extracts.Isolation of glycopeptides from proteolytic digests of complex protein mixtures can greatly enhance the MS signals of glycopeptides using reversed-phase LC-ESI-MS (RPLC-ESI-MS) or MALDI-MS (15–24). Hydrazide chemistry is used to isolate, identify, and quantify N-linked glycopeptides effectively, but this method involves lengthy chemical procedures and does not preserve the glycan moieties thereby losing valuable information on glycan structure and site occupancy (15–17). Capturing glycopeptides with lectins has been widely used, but restricted specificities and unspecific binding are major drawbacks of this method (18–21). Under reversed-phase LC conditions, glycopeptides from tryptic digests of gel-separated glycoproteins have been enriched using graphite powder medium (22). In this case, however, a second digestion with proteinase K is required for trimming down the peptide moieties of tryptic glycopeptides so that the glycopeptides (typically <5 amino acid residues) essentially resemble the glycans with respect to hydrophilicity for subsequent separation. Moreover, the short peptide sequences of the proteinase K digest are often inadequate for de novo sequencing of the glycopeptides.Glycopeptide enrichment under normal-phase LC (NPLC) conditions has been demonstrated using various hydrophilic media and different capture and elution conditions (23–28). NPLC allows either direct enrichment of peptides modified by various N-linked glycan structures using a ZIC®-HILIC column (23–27) or targeting sialylated glycopeptides using a titanium dioxide micro-column (28). However, NPLC is neither effective for enriching less hydrophilic glycopeptides, e.g. the five high mannose type glycopeptides modified by 7–11 monosaccharide units from a tryptic digest of ribonuclease b (RNase B), nor for enriching O-linked glycopeptides of bovine fetuin using a ZIC-HILIC column (23). The use of Sepharose medium for enriching glycopeptides yielded only modest recovery of glycopeptides (28). In addition, binding of hydrophilic non-glycopeptides with these hydrophilic media contaminates the enriched glycopeptides (23, 28).We have recently developed an ion-pairing normal-phase LC (IP-NPLC) method to enrich glycopeptides from complex tryptic digests using Sepharose medium and salts or bases as ion-pairing reagents (29). Though reasonably effective the technique still left room for significant improvement. For example, the method demonstrated relatively modest glycopeptide selectivity, providing only 16% recovery for high mannose type glycopeptides (29). Here we report on a new IP-NPLC method using acids as ion-pairing reagents and polyhydroxyethyl aspartamide (A) as the stationary phase for the effective isolation of tryptic glycopeptides. The method was developed and evaluated using a tryptic digest of RNase B and fetuin mixture. In addition, we demonstrate that O-linked glycopeptides can be effectively isolated from a fetuin tryptic digest by IP-NPLC after removal of the N-linked glycans by PNGase F.The new IP-NPLC method was used to enrich N-linked glycopeptides from the tryptic digests of protein extracts of wild-type (wt) and PglD mutant strains of Campylobacter jejuni NCTC 11168. C. jejuni has a unique N-glycosylation system that glycosylates periplasmic and inner membrane proteins containing the extended N-linked sequon, D/E-X-N-X-S/T, where X is any amino acid other than proline (30–32). The N-linked glycan of C. jejuni has been previously determined to be GalNAc-α1,4-GalNAc-α1,4-[Glcβ1,3]-GalNAc-α1,4-GalNAc-α1,4-GalNAc-α1,3-Bac-β1 (BacGalNAc₅Glc residue mass: 1406 Da), where Bac is 2,4-diacetamido-2,4,6-trideoxyglucopyranose (30). In addition, the glycan structure of C. jejuni is conserved, unlike in eukaryotic systems (30–32). IP-NPLC recovered close to 100% of the bacterial N-linked glycopeptides with virtually no contamination of non-glycopeptides. Furthermore, we demonstrate for the first time that acetylation of bacillosamine is incomplete in the wt using IP-NPLC and label-free MS.     

Repeated Domains of Leptospira Immunoglobulin-like Proteins Interact with Elastin and Tropoelastin

Leptospira spp., the causative agents of leptospirosis, adhere to components of the extracellular matrix, a pivotal role for colonization of host tissues during infection. Previously, we and others have shown that Leptospira immunoglobulin-like proteins (Lig) of Leptospira spp. bind to fibronectin, laminin, collagen, and fibrinogen. In this study, we report that Leptospira can be immobilized by human tropoelastin (HTE) or elastin from different tissues, including lung, skin, and blood vessels, and that Lig proteins can bind to HTE or elastin. Moreover, both elastin and HTE bind to the same LigB immunoglobulin-like domains, including LigBCon4, LigBCen7′–8, LigBCen9, and LigBCen12 as demonstrated by enzyme-linked immunosorbent assay (ELISA) and competition ELISAs. The LigB immunoglobulin-like domain binds to the 17th to 27th exons of HTE (17–27HTE) as determined by ELISA (LigBCon4, K_D = 0.50 μm; LigBCen7′–8, K_D = 0.82 μm; LigBCen9, K_D = 1.54 μm; and LigBCen12, K_D = 0.73 μm). The interaction of LigBCon4 and 17–27HTE was further confirmed by steady state fluorescence spectroscopy (K_D = 0.49 μm) and ITC (K_D = 0.54 μm). Furthermore, the binding was enthalpy-driven and affected by environmental pH, indicating it is a charge-charge interaction. The binding affinity of LigBCon4D341N to 17–27HTE was 4.6-fold less than that of wild type LigBCon4. In summary, we show that Lig proteins of Leptospira spp. interact with elastin and HTE, and we conclude this interaction may contribute to Leptospira adhesion to host tissues during infection.Pathogenic Leptospira spp. are spirochetes that cause leptospirosis, a serious infectious disease of people and animals (1, 2). Weil syndrome, the severe form of leptospiral infection, leads to multiorgan damage, including liver failure (jaundice), renal failure (nephritis), pulmonary hemorrhage, meningitis, abortion, and uveitis (3, 4). Furthermore, this disease is not only prevalent in many developing countries, it is reemerging in the United States (3). Although leptospirosis is a serious worldwide zoonotic disease, the pathogenic mechanisms of Leptospira infection remain enigmatic. Recent breakthroughs in applying genetic tools to Leptospira may facilitate studies on the molecular pathogenesis of leptospirosis (5–8).The attachment of pathogenic Leptospira spp. to host tissues is critical in the early phase of Leptospira infection. Leptospira spp. adhere to host tissues to overcome mechanical defense systems at tissue surfaces and to initiate colonization of specific tissues, such as the lung, kidney, and liver. Leptospira invade hosts tissues through mucous membranes or injured epidermis, coming in contact with subepithelial tissues. Here, certain bacterial outer surface proteins serve as microbial surface components recognizing adhesive matrix molecules (MSCRAMMs)² to mediate the binding of bacteria to different extracellular matrices (ECMs) of host cells (9). Several leptospiral MSCRAMMs have been identified (10–18), and we speculate that more will be identified in the near future.Lig proteins are distributed on the outer surface of pathogenic Leptospira, and the expression of Lig protein is only found in low passage strains (14, 16, 17), probably induced by environmental cues such as osmotic or temperature changes (19). Lig proteins can bind to fibrinogen and a variety of ECMs, including fibronectin (Fn), laminin, and collagen, thereby mediating adhesion to host cells (20–23). Lig proteins also constitute good vaccine candidates (24–26).Elastin is a component of ECM critical to tissue elasticity and resilience and is abundant in skin, lung, blood vessels, placenta, uterus, and other tissues (27–29). Tropoelastin is the soluble precursor of elastin (28). During the major phase of elastogenesis, multiple tropoelastin molecules associate through coacervation (30–32). Because of the abundance of elastin or tropoelastin on the surface of host cells, several bacterial MSCRAMMs use elastin and/or tropoelastin to mediate adhesion during the infection process (33–35).Because leptospiral infection is known to cause severe pulmonary hemorrhage (36, 37) and abortion (38), we hypothesize that some leptospiral MSCRAMMs may interact with elastin and/or tropoelastin in these elastin-rich tissues. This is the first report that Lig proteins of Leptospira interact with elastin and tropoelastin, and the interactions are mediated by several specific immunoglobulin-like domains of Lig proteins, including LigBCon4, LigBCen7′–8, LigBCen9, and LigBCen12, which bind to the 17th to 27th exons of human tropoelastin (HTE).     

Probing Open Conformation of GroEL Rings by Cross-linking Reveals Single and Double Open Ring Structures of GroEL in ADP and ATP

Two heptamer rings of chaperonin GroEL undergo opening-closing conformational transition in the reaction cycle with the aid of GroES and ATP. We introduced Cys into the GroEL subunit at Ala-384 and Ser-509, which are very close between adjacent GroEL subunits in the open heptamer ring but far apart in the closed heptamer ring. The open ring-specific inter-subunit cross-linking between these Cys indicated that the number of rings in open conformation in GroEL was two in ATP (GroEL_OO), one in ADP (GroEL_O), and none in the absence of nucleotide. ADP showed an inhibitory effect on ATP-induced generation of GroEL_OO. The isolated GroEL_O and GroEL_OO, which lost any bound nucleotide, could bind GroES to form a bullet-shaped 1:1 GroEL-GroES complex and a football-shaped 1:2 GroEL-GroES complex, respectively, even without the addition of any nucleotide. Substrate protein was unable to form a stable complex with GroEL_OO and did not stimulate ATPase activity of GroEL. These results favor a model of the GroEL reaction cycle that includes a football complex as a critical intermediate.Chaperonin facilitates the folding of other proteins using the energy of ATP hydrolysis (1–4). GroEL, an Escherichia coli chaperonin, consists of 14 identical 57-kDa subunits arranged in two heptamer rings. Each ring contains a central open cavity, and the two rings are stacked back-to-back (5). Denatured protein binds to the apical end of the central cavity of the heptamer ring of GroEL (6–10). In the presence of ATP, a disk-shaped GroES binds to the same apical end as a lid to seal the cavity and generates a chamber. The denatured protein is discharged into the chamber, making this heptamer ring folding-active, where productive folding proceeds (11, 12). After several seconds, the GroES lid is detached from GroEL, and the substrate protein is free to escape into solution.Two heptamer rings of GroEL undergo opening-closing conformational transition, coupled with attachment and detachment of GroES, in the functional cycle (13). In the transition from “closed” to “open” conformation, apical domain of each GroEL subunit in the ring is shifted upward and outward, and the cleft between apical and equatorial domains opens. GroES is associated with the open ring, and two kinds of GroEL-GroES complexes are formed. An asymmetric “bullet”-shaped complex is a 1:1 GroEL-GroES complex in which GroES attached to one of two heptamer rings in GroEL (14–16). A symmetric “football”-shaped complex is a 1:2 GroEL-GroES complex in which GroES attached to both heptamer rings of GroEL (17–22). The football complex contains two open rings; the bullet complex contains one closed and one open ring, and free GroEL is made up of two closed rings.Previously, we generated the GroEL in which two rings in GroEL were locked in a closed conformation by disulfide cross-link between apical and equatorial domains in the same GroEL subunits (23). This GroEL can bind ATP and denatured protein but fails to process further reaction steps such as ATP hydrolysis, GroES binding, and release of substrate protein. We report here the opposite version; open conformation-specific inter-subunit cross-links were introduced into the GroEL ring. Using this cross-linking as a probe of open conformation, we found that one ring was open in ADP (GroEL_O), although two rings were open in ATP (GroEL_OO). The isolated GroEL_O and GroEL_OO, which were nucleotide-free, formed a stable bullet and football complex with GroES even in the absence of any nucleotide. These results support a GroEL mechanism that includes a football complex as a critical intermediate.     

Paradoxical Condensation of Copper with Elevated ��-Amyloid in Lipid Rafts under Cellular Copper Deficiency Conditions: IMPLICATIONS FOR ALZHEIMER DISEASE*

Redox-active copper is implicated in the pathogenesis of Alzheimer disease (AD), β-amyloid peptide (Aβ) aggregation, and amyloid formation. Aβ·copper complexes have been identified in AD and catalytically oxidize cholesterol and lipid to generate H₂O₂ and lipid peroxides. The site and mechanism of this abnormality is not known. Growing evidence suggests that amyloidogenic processing of the β-amyloid precursor protein (APP) occurs in lipid rafts, membrane microdomains enriched in cholesterol. β- and γ-secretases, and Aβ have been identified in lipid rafts in cultured cells, human and rodent brains, but the role of copper in lipid raft amyloidogenic processing is presently unknown. In this study, we found that copper modulates flotillin-2 association with cholesterol-rich lipid raft domains, and consequently Aβ synthesis is attenuated via copper-mediated inhibition of APP endocytosis. We also found that total cellular copper is associated inversely with lipid raft copper levels, so that under intracellular copper deficiency conditions, Aβ·copper complexes are more likely to form. This explains the paradoxical hypermetallation of Aβ with copper under tissue copper deficiency conditions in AD.Imbalance of metal ions has been recognized as one of the key factors in the pathogenesis of Alzheimer disease (AD).² Aberrant interactions between copper or zinc with the β-amyloid peptide (Aβ) released into the glutamatergic synaptic cleft vicinity could result in the formation of toxic Aβ oligomers and aggregation into plaques characteristic of AD brains (reviewed in Ref. 1). Copper, iron, and zinc are highly concentrated in extracellular plaques (2, 3), and yet brain tissues from AD (4–6) and human β-amyloid precursor protein (APP) transgenic mice (7–10) are paradoxically copper deficient compared with age-matched controls. Elevation of intracellular copper levels by genetic, dietary, and pharmacological manipulations in both AD transgenic animal and cell culture models is able to attenuate Aβ production (7, 9, 11–15). However, the underlying mechanism is at present unclear.Abnormal cholesterol metabolism is also a contributing factor in the pathogenesis of AD. Hypercholesterolemia increases the risk of developing AD-like pathology in a transgenic mouse model (16). Epidemiological and animal model studies show that a hypercholesterolemic diet is associated with Aβ accumulation and accelerated cognitive decline, both of which are further aggravated by high dietary copper (17, 18). In contrast, biochemical depletion of cholesterol using statins, inhibitors of 3-hydroxy-3-methyglutaryl coenzyme A reductase, and methyl-β-cyclodextrin, a cholesterol sequestering agent, inhibit Aβ production in animal and cell culture models (19–25).Cholesterol is enriched in lipid rafts, membrane microdomains implicated in Aβ generation from APP cleavage by β- and γ-secretases. Recruitment of BACE1 (β-secretase) into lipid rafts increases the production of sAPP_β and Aβ (23, 26). The β-secretase-cleaved APP C-terminal fragment (β-CTF), and γ-secretase, a multiprotein complex composed of presenilin (PS1 or PS2), nicastrin (Nct), PEN-2 and APH-1, colocalize to lipid rafts (27). The accumulation of Aβ in lipid rafts isolated from AD and APP transgenic mice brains (28) provided further evidence that cholesterol plays a role in APP processing and Aβ generation.Currently, copper and cholesterol have been reported to modulate APP processing independently. However, evidence indicates that, despite tissue copper deficiency, Aβ·Cu²⁺ complexes form in AD that catalytically oxidize cholesterol and lipid to generate H₂O₂ and lipid peroxides (e.g. hydroxynonenal and malondialdehyde), which contribute to oxidative damage observed in AD (29–35). The underlying mechanism leading to the formation of pathological Aβ·Cu²⁺ complexes is unknown. In this study, we show that copper alters the structure of lipid rafts, and attenuates Aβ synthesis in lipid rafts by inhibition of APP endocytosis. We also identify a paradoxical inverse relationship between total cellular copper levels and copper distribution to lipid rafts, which appear to possess a privileged pool of copper where Aβ is more likely to interact with Cu²⁺ under copper-deficiency conditions to form Aβ·Cu²⁺ complexes. These data provide a novel mechanism by which cellular copper deficiency in AD could foster an environment for potentially adverse interactions between Aβ, copper, and cholesterol in lipid rafts.