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1.
Stroke is the third leading cause of death in the United States with high rates of morbidity among survivors. The search to fill the unequivocal need for new therapeutic approaches would benefit from unbiased proteomic analyses of animal models of spontaneous stroke in the prestroke stage. Since brain microvessels play key roles in neurovascular coupling, we investigated prestroke microvascular proteome changes. Proteomic analysis of cerebral cortical microvessels (cMVs) was done by tandem mass spectrometry comparing two prestroke time points. Metaprotein-pathway analyses of proteomic spectral count data were done to identify risk factor-induced changes, followed by QSPEC-analyses of individual protein changes associated with increased stroke susceptibility. We report 26 cMV proteome profiles from male and female stroke-prone and non-stroke-prone rats at 2 months and 4.5 months of age prior to overt stroke events. We identified 1,934 proteins by two or more peptides. Metaprotein pathway analysis detected age-associated changes in energy metabolism and cell-to-microenvironment interactions, as well as sex-specific changes in energy metabolism and endothelial leukocyte transmigration pathways. Stroke susceptibility was associated independently with multiple protein changes associated with ischemia, angiogenesis or involved in blood brain barrier (BBB) integrity. Immunohistochemical analysis confirmed aquaporin-4 and laminin-α1 induction in cMVs, representative of proteomic changes with >65 Bayes factor (BF), associated with stroke susceptibility. Altogether, proteomic analysis demonstrates significant molecular changes in ischemic cerebral microvasculature in the prestroke stage, which could contribute to the observed model phenotype of microhemorrhages and postischemic hemorrhagic transformation. These pathways comprise putative targets for translational research of much needed novel diagnostic and therapeutic approaches for stroke.  相似文献   

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Stroke is one of the leading causes of mortality and disability worldwide. Numerous pathophysiological mechanisms involving blood vessels, coagulation and inflammation contribute to the vascular occlusion. Perturbations in these pathways can be detected by numerous methods including changes in endoplasmic membrane remodeling and rearrangement leading to the shedding of microparticles (MPs) from various cellular origins in the blood. MPs are small membrane-derived vesicles that are shed from nearly all cells in the body in resting state or upon stimulation. MPs act as biological messengers to transfer information to adjacent and distant cells thus regulating various biological processes. MPs may be important biomarkers and tools for the identification of the risk and diagnosis of cerebrovascular diseases. Endothelial activation and dysfunction and altered thrombotic responses are two of the main features predisposing to stroke. Endothelial MPs (EMPs) have been recognized as both biomarkers and effectors of endothelial cell activation and injury while platelet-derived MPs (PMPs) carry a strong procoagulant potential and are activated in thrombotic states. Therefore, we reviewed here the role of EMPs and PMPs as biomarkers of stroke. Most studies reported high circulating levels of EMPs and PMPs in addition to other cell origins in stroke patients and have been linked to stroke severity, the size of infarction, and prognosis. The identification and quantification of EMPs and PMPs may thus be useful for the diagnosis and management of stroke.  相似文献   

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《遗传学报》2021,48(9):792-802
Gut microbial dysbiosis has been linked to many noncommunicable diseases. However, little is known about specific gut microbiota composition and its correlated metabolites associated with molecular signatures underlying host response to infection. Here, we describe the construction of a proteomic risk score based on 20 blood proteomic biomarkers, which have recently been identified as molecular signatures predicting the progression of the COVID-19. We demonstrate that in our cohort of 990 healthy individuals without infection, this proteomic risk score is positively associated with proinflammatory cytokines mainly among older, but not younger, individuals. We further discover that a core set of gut microbiota can accurately predict the above proteomic biomarkers among 301 individuals using a machine learning model and that these gut microbiota features are highly correlated with proinflammatory cytokines in another independent set of 366 individuals. Fecal metabolomics analysis suggests potential amino acid-related pathways linking gut microbiota to host metabolism and inflammation. Overall, our multi-omics analyses suggest that gut microbiota composition and function are closely related to inflammation and molecular signatures of host response to infection among healthy individuals. These results may provide novel insights into the cross-talk between gut microbiota and host immune system.  相似文献   

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Pregnancy increases the risk of thrombosis four‐ to five‐fold. Seventy‐five to eighty percent of pregnancy‐related thrombotic events are venous and twenty to –twenty‐five percent are arterial. The main reason for the increased risk is hypercoagulability. Women are hypercoagulable because they have evolved so that they are protected against the bleeding challenges of pregnancy, miscarriage, or childbirth. Both genetic and acquired risk factors can further increase the risk of thrombosis. The maternal consequences of thrombosis of pregnancy include permanent vascular damage, disability, and death. While the maternal outcomes of thrombosis can be modified by anticoagulation therapy, management of thrombosis during pregnancy is the subject of another paper in this issue (see paper by B. Konkle). This review will focus on the epidemiology, pathophysiology, risk factors, and maternal consequences of thrombosis in pregnancy. Birth Defects Research (Part C) 105:159–166, 2015. © 2015 Wiley Periodicals, Inc.  相似文献   

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The scope of the current paper is to review existing and potential applications of proteomic analysis to aging research. The focus will lie on the unique opportunities of high-throughput studies for uncovering specific alterations in protein expression, protein complexes or protein modifications caused by biological aging. The result of such studies will outline aging phenotypes and potentially indicate pathways involved in the pathogenesis of age-associated disfunctions. Specific attention is paid to the illustrations of successful applications of proteomic technologies and potential applications of new proteomic concepts to biogerontological studies.  相似文献   

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The scope of the current paper is to review existing and potential applications of proteomic analysis to aging research. The focus will lie on the unique opportunities of high-throughput studies for uncovering specific alterations in protein expression, protein complexes or protein modifications caused by biological aging. The result of such studies will outline aging phenotypes and potentially indicate pathways involved in the pathogenesis of age-associated disfunctions. Specific attention is paid to the illustrations of successful applications of proteomic technologies and potential applications of new proteomic concepts to biogerontological studies.  相似文献   

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The characterization of biological processes on the basis of alterations in the cellular proteins, or "proteomic" analysis, is a powerful approach that may be adopted to decipher the signaling mechanisms that underlie various pathophysiological conditions, such as ischemic heart disease. This review represents a prospectus for the implementation of proteomic analyses to delineate the myocardial intracellular signaling events that evoke cardioprotection against ischemic injury. In concert with this, the manifestation of a protective phenotype has recently been shown to involve dynamic modulation of protein kinase C-epsilon (PKC epsilon) signaling complexes (Ping P, Zhang J, Pierce WM Jr, and Bolli R. Circ Res 88: 59--62, 2001). Accordingly, "the signaling module hypothesis" is formulated as a plausible mechanism by which multipurpose stress-activated proteins and signaling kinases may function collectively to facilitate the genesis of cardioprotection.  相似文献   

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Recent advances in -omic profiling technologies have ushered in an era where we no longer want to merely measure the presence or absence of a biomolecule of interest, but instead hope to understand its function and interactions within larger signaling networks. Here, we review several emerging proteomic technologies capable of detecting protein interaction networks in live cells and their integration to draft holistic maps of proteins that respond to diverse stimuli, including bioactive small molecules. Moreover, we provide a conceptual framework to combine so-called ‘top-down’ and ‘bottom-up’ interaction profiling methods and ensuing proteomic profiles to directly identify binding targets of small molecule ligands, as well as for unbiased discovery of proteins and pathways that may be directly bound or influenced by those first responders. The integrated, interaction-based profiling methods discussed here have the potential to provide a unique and dynamic view into cellular signaling networks for both basic and translational biological studies.  相似文献   

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Understanding biology at the systems level is a powerful method for discovery of previously unrecognized molecular pathways and mechanisms in human disease. The application of proteomics to arthritis research has lagged behind many other clinical targets, partly due to the unique biochemical properties of cartilage and associated biological fluids such as synovial fluid. In recent years, however, proteomic-based studies in cartilage and arthritis research have risen sharply and have started to make a significant impact on our understanding of joint disease, including the discovery of new and promising biomarkers of cartilage degeneration, a hallmark of arthritis. In this review we will make the case for the ongoing proteomic analysis of cartilage and other tissues affected by joint disease, overview some of the core proteomic techniques and discuss how the challenge of cartilage proteomics has been met through technical innovation. The major outcomes and information obtained from recent proteomic analysis of synovial fluid, cartilage and chondrocytes will also be described. In addition, we present some novel insights into post-translational regulation of cartilage proteins, through proteomic identification of proteolytic fragments in mouse cartilage extracts and explant culture media. We conclude with our prediction of how emerging proteomic technologies that have yet to be applied in arthritis research are likely to contribute further important information.  相似文献   

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Lipid rafts are specialized cholesterol-enriched microdomains in the cell membrane. They have been known as a platform for protein-protein interactions and to take part in multiple biological processes. Nevertheless, how lipid rafts influence protein properties at the proteomic level is still an open question for researchers using traditional biochemical approaches. Here, by annotating the lipid raft localization of proteins in human protein-protein interaction networks, we performed a systematic analysis of the function of proteins related to lipid rafts. Our results demonstrated that lipid raft proteins and their interactions were critical for the structure and stability of the whole network, and that the interactions between them were significantly enriched. Furthermore, for each protein in the network, we calculated its “lipid raft dependency (LRD),” which indicates how close it is topologically associated with lipid rafts, and we then uncovered the connection between LRD and protein functions. Proteins with high LRD tended to be essential for mammalian development, and malfunction of these proteins was inclined to cause human diseases. Coordinated with their neighbors, high-LRD proteins participated in multiple biological processes and targeted many pathways in diseases pathogenesis. High-LRD proteins were also found to have tissue specificity of expression. In summary, our network-based analysis denotes that lipid raft proteins have higher centrality in the network, and that lipid-raft-related proteins have multiple functions and are probably concerned with many biological processes in disease development.  相似文献   

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Wang XL  Fu A  Raghavakaimal S  Lee HC 《Proteomics》2007,7(4):588-596
Isotope-coded affinity tags (cICAT) coupled with mass spectrometric analysis is one of the leading technologies for quantitative proteomic profiling and protein quantification. We performed proteomic analysis of bovine aortic endothelial cells (BAEC) in response to laminar shear stress using cICAT labeling coupled with LC-MS/MS. Protein expressions in BAEC under 15 dynes/cm2 of shear stress for 10 min, 3 h, and 6 h were compared with matched stationary controls. Analysis of each sample produced 1800-2400 proteins at >or=75% confidence level. We found 142, 213, and 186 candidate proteins that were up- or down-regulated by at least two-fold after 10 min, 3 h, and 6 h of shear stress, respectively. Some of these proteins have known cellular functions and they encompass many signaling pathways. The signaling pathways that respond to shear stress include those of integrins, G-protein-coupled receptors, glutamate receptors, PI3K/AKT, apoptosis, Notch and cAMP-mediated signaling pathways. The validity of the mass spectrometric analysis was also confirmed by Western blot and confocal immunofluorescence microscopy. The present quantitative proteomic analysis suggests novel potential regulatory mechanisms in vascular endothelial cells in response to shear stress. These results provide preliminary footprints for further studies on the signaling mechanisms induced by shear stress.  相似文献   

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Xu JJ  Hendriks BS  Zhao J  de Graaf D 《FEBS letters》2008,582(8):1276-1282
The majority of drug-related toxicities are idiosyncratic, with little pathophysiological insight and mechanistic understanding. Pathway toxicology is an emerging field of toxicology in the post-genomic era that studies the molecular interactions between toxicants and biological pathways as a way to bridge this knowledge gap. Using two case studies--acetaminophen and p38 MAPK inhibitors--this review illustrates how a pathway-based perspective has advanced our understanding of compound and target-based toxicities. The advancement of pathway toxicology will be dependent on integrated applications of techniques from basic sciences and a fundamental understanding of the interdependence of multiple biological pathways in living organisms.  相似文献   

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