Search

Background and aims When endothelium is cultured in wells swirled on an orbital shaker, cells at the well centre experience putatively atherogenic flow whereas those near the edge experience putatively atheroprotective flow. Transcellular transport is decreased equally in both regions, consistent with it being reduced by a mediator released from cells in one part of the well and mixed in the swirling medium. Similar effects have been inferred for pro-inflammatory changes. Here we identify the mediator and flow characteristics stimulating its release. Methods and results Medium conditioned by cells swirled at the edge, but not by cells swirled at the centre or cultured under static conditions, significantly reduced transendothelial transport of a low density lipoprotein (LDL)-sized tracer and tumor necrosis factor α (TNF-α)-induced activation and translocation of nuclear factor κB (NF-κB), adhesion molecule expression and monocyte adhesion. Inhibiting transcytosis similarly decreased tracer transport. Unbiased proteomics revealed that cells from the swirled edge secreted substantially more follistatin-like 1 (FSTL1) than cells from the swirled centre or from static wells. Exogenous FSTL1 reduced transport of the LDL-sized tracer and of LDL itself, as well as TNF-α-induced adhesion molecule expression. Bone morphogenetic protein 4 (BMP4) increased transport of the LDL-sized tracer and adhesion molecule expression; FSTL1 abolished these effects. Conclusions Putatively atheroprotective flow stimulates secretion of FSTL1 by cultured endothelial cells. FSTL1 reduces transcellular transport of LDL-sized particles and of LDL itself, and inhibits endothelial activation. If this also occurs in vivo, it may account for the atheroprotective nature of such flow., Graphical abstract Image 1, Highlights • Endothelial cells exposed to atheroprotective flow secrete FSTL1. • FSTL1 reduces transendothelial transport of LDL and LDL-sized tracers. • FSTL1 reduces the pro-inflammatory effects of TNF-α.

BACKGROUND: Scutellariae Radix (SR), the root of Scutellaria baicalensis Georgi, and SR flavonoids have antifibrotic activities. It remains obscure, however, amongst SR aqueous extract (SRA), SR methanolic extract (SRM) and five major SR flavonoids (baicalein, baicalin, wogonoside, wogonin and oroxyloside), which ones are the most promising antifibrotics and what their mechanisms are.PURPOSE: To compare the antifibrotic activities of SR extracts and flavonoids, and the proteomic signatures of selected SR extract and flavonoid, versus IN1130 phosphate, an antifibrotic positive control (abbreviated as IN1130), in TGF-β1-induced in vitro model of fibrosis in NRK-49F renal fibroblasts.METHODS: Isobaric labelling-based mass spectrometry was used for proteomic studies. Differentially expressed proteins were further analyzed using Gene Ontology annotation enrichment, protein-protein interaction network analysis and pathway analysis. Selected proteins of interest were validated by enzyme-linked immunosorbent assay (ELISA).RESULTS: Baicalein was the SR flavonoid with the best efficacy-toxicity ratio. SRM contained 8-fold more flavonoids and was more potently antifibrotic than SRA. Proteomic analysis of cells treated by TGF-β1, with or without baicalein (40 and 80 μM), SRM (40 and 80 μg/ml) and IN1130 (1 μM) suggested that baicalein, SRM and IN1130 all repressed TGF-β1-induced ribosomal proteins in cell lysates, while baicalein and SRM, but not IN1130, regulated the intracellular lysosome pathway; secretomic analysis suggested that 40 and 80 μg/ml SRM and 80 μM baicalein, but not IN1130 and 40 μM baicalein increased ribosomal proteins in conditioned media, whereas only baicalein regulated the lysosome pathway. ELISA verified secretomic findings that baicalein, SRM and IN1130 repressed TGF-β1-induced PAI-1 (Serpine1), Plod2, Ctgf (Ccn2), Ccl2 and Ccl7; baicalein and IN1130, but not SRM, reversed TGF-β1-induced Cyr61 (Ccn1) and Tsku; only baicalein reversed TGF-β1 repression of Mmp3; only IN1130 reversed TGF-β1-repressed Nov (Ccn3). ELISA validated cell-lysate proteomic findings that baicalein, SRM and IN1130 all reversed TGF-β1-induced Enpp1; only IN1130 reversed TGF-β1-induced Impdh2 and Sqstm1 and TGF-β1-repressed Aldh3a1. Baicalein and SRM induced Ccdc80, while only baicalein induced Tfrc.CONCLUSION: Baicalein, SRM and IN1130 repress TGF-β1-induced fibrogenesis in renal fibroblasts by regulating overlapping protein targets and biological pathways. Our findings offer a comprehensive view of shared, drug- and dose-specific pharmacological and toxicological mechanisms and provide a valuable resource for further research and development of more efficacious and safer antifibrotics.

Transactive response DNA-binding protein 43 (TDP-43) is a predominantly nuclear, ubiquitously expressed RNA and DNA-binding protein. It recognizes and binds to UG repeats and is involved in pre-mRNA splicing, mRNA stability and microRNA metabolism. TDP-43 is essential in early embryonic development but accumulates in cytoplasmic aggregates in amyotrophic lateral sclerosis (ALS) and tau-negative frontotemporal lobar degeneration (FTLD). It is not known yet whether cytoplasmic aggregates of TDP-43 are toxic or protective but they are often associated with a loss of TDP-43 from the nucleus and neurodegeneration may be caused by a loss of normal TDP-43 function or a gain of toxic function. Here we present a proteomic study to analyze the effect of loss of TDP-43 on the proteome. MS data are available via ProteomeXchange with identifier PXD001668. Our results indicate that TDP-43 is an important regulator of RNA metabolism and intracellular transport. We show that Ran-binding protein 1 (RanBP1), DNA methyltransferase 3 alpha (Dnmt3a) and chromogranin B (CgB) are downregulated upon TDP-43 knockdown. Subsequently, transportin 1 level is increased as a result of RanBP1 depletion. Improper regulation of these proteins and the subsequent disruption of cellular processes may play a role in the pathogenesis of the TDP-43 proteinopathies ALS and FTLD.

In an endotoxaemic mouse model of sepsis, a tissuebased proteomics approach for biomarker discovery identified long pentraxin 3 (PTX3) as the lead candidate for inflamed myocardium. When the redox-sensitive oligomerization state of PTX3 was further investigated, PTX3 accumulated as an octamer as a result of disulfide-bond formation in heart, kidney, and lung—common organ dysfunctions seen in patients with sepsis. Oligomeric moieties of PTX3 were also detectable in circulation. The oligomerization state of PTX3 was quantified over the first 11 days in critically ill adult patients with sepsis. On admission day, there was no difference in the oligomerization state of PTX3 between survivors and non-survivors. From day 2 onward, the conversion of octameric to monomeric PTX3 was consistently associated with a greater survival after 28 days of follow-up. For example, by day 2 post-admission, octameric PTX3 was barely detectable in survivors, but it still constituted more than half of the total PTX3 in non-survivors (p < 0.001). Monomeric PTX3 was inversely associated with cardiac damage markers NTproBNP and high-sensitivity troponin I and T. Relative to the conventional measurements of total PTX3 or NT-proBNP, the oligomerization of PTX3 was a superior predictor of disease outcome. Molecular & Cellular Proteomics 13: 10.1074/ mcp.M114.039446, 2545–2557, 2014. Severe sepsis is a common acute illness in intensive care units (ICUs) 1 and is associated with high mortality rates and chronic morbidity. When it is associated with hypotension (termed septic shock), the mortality rate is very high (50% to 80%). Cardiovascular dysfunction during sepsis is multifactorial and often associated with minimal loss of myocardial tissue, but with the release of myocardial-specific markers such as troponins. A key unmet clinical need is the availability of a biomarker that predicts myocardial dysfunction early, monitors response to treatment, and thus identifies a cohort of patients at higher risk of septic shock to aid in targeted interventions and improve outcome (1). In the present study, we used proteomics for biomarker discovery. Over the past decade, the field of proteomics has made impressive progress. Plasma and serum, however, are the most complex proteomes of the human body (2), and less abundant proteins tend to be missed in untargeted proteomics analyses of body fluids (3). Thus, we pursued an alternative strategy: the application of proteomics to diseased tissue (4), in which the potential biomarkers are less dilute and have a less uncertain cellular origin (5–7). We employed a solubilitybased protein-subfractionation methodology to analyze inflammatory proteins that are retained with sepsis tissue. This innovative proteomics approach shall reveal inflammatory molecules that reside and persist within inflamed tissue. We hypothesized that proteins that accumulate in the susceptible tissues are more likely to be biomarker candidates for organ dysfunction than proteins that just circulate in plasma or serum. We then validated our proteomics findings in the preclinical model using samples from sepsis patients admitted to ICUs.

Perhexiline is a potent anti-anginal drug used for treatment of refractory angina and other forms of heart disease. It provides an oxygen sparing effect in the myocardium by creating a switch from fatty acid to glucose metabolism through partial inhibition of carnitine palmitoyltransferase 1 and 2. However, the precise molecular mechanisms underlying the cardioprotective effects elicited by perhexiline are not fully understood. The present study employed a combined proteomics, metabolomics and computational approach to characterise changes in murine hearts upon treatment with perhexiline. According to results based on difference in-gel electrophoresis, the most profound change in the cardiac proteome related to the activation of the pyruvate dehydrogenase complex. Metabolomic analysis by high-resolution nuclear magnetic resonance spectroscopy showed lower levels of total creatine and taurine in hearts of perhexiline-treated mice. Creatine and taurine levels were also significantly correlated in a cross-correlation analysis of all metabolites. Computational modelling suggested that far from inducing a simple shift from fatty acid to glucose oxidation, perhexiline may cause complex rebalancing of carbon and nucleotide phosphate fluxes, fuelled by increased lactate and amino acid uptake, to increase metabolic flexibility and to maintain cardiac output. This article is part of a Special Issue entitled "Focus on Cardiac Metabolism"., Graphical abstract Highlights ► Mice were fed perhexiline to achieve steady state concentrations. ► Hearts were analysed using a combined proteomic and metabolomic approach. ► Computer modelling was used to cross-validate the findings. ► Perhexiline has more wide-ranging and complex metabolic effects than previously thought.

Background Atrial fibrillation (AF) is an important cause of morbidity and mortality after cardiac surgery. The pathogenesis of AF appears to be multifactorial but little is known about the cause-effect relationship of substrate modifications with the onset of the arrhythmia. With the use of modern proteomics, this study aims to identify preexisting changes in the left atrium of patients susceptible to postoperative AF. Methods We analyzed 20 matched patients undergoing elective, first-time coronary artery bypass grafting with no history of AF. They were divided into 2 equal groups according to the development of postoperative AF. Proteomic analysis was performed in left atrial tissue obtained during surgery using two-dimensional difference in gel electrophoresis techniques. Mass spectrometry identified proteins that were differentially expressed in patients who developed AF against those who remained in sinus rhythm. Results Proteomic analysis of left atrial tissue identified 19 differentially expressed protein spots between patients who developed postoperative AF and their sinus rhythm counterparts. In patients who developed AF, proteins associated with oxidative stress and apoptosis (peroxiredoxin 1, apoptosis-inducing factor, and 96S protease regulatory subunit 8) as well as acute phase response components (apolipoprotein A-I, fibrinogen) were found to be increased. Conversely, the expression of proteins responsible for glycolysis (enolase) and pyruvate metabolism (pyruvate dehydrogenase) was reduced. Conclusions We describe protein changes that precede the development of postoperative AF and which might be suggestive of increased oxidative stress and glycolytic inhibition in the left atrium of patients predilected to AF.

A transgenic mouse model for conditional induction of long-term hibernation via myocardium-specific expression of a VEGF-sequestering soluble receptor allowed the dissection of the hibernation process into an initiation and a maintenance phase. The hypoxic initiation phase was characterized by peak levels of K(ATP) channel and glucose transporter 1 (GLUT1) expression. Glibenclamide, an inhibitor of K(ATP) channels, blocked GLUT1 induction. In the maintenance phase, tissue hypoxia and GLUT1 expression were reduced. Thus, we employed a combined “-omics” approach to resolve this cardioprotective adaptation process. Unguided bioinformatics analysis on the transcriptomic, proteomic and metabolomic datasets confirmed that anaerobic glycolysis was affected and that the observed enzymatic changes in cardiac metabolism were directly linked to hypoxia-inducible factor (HIF)-1 activation. Although metabolite concentrations were kept relatively constant, the combination of the proteomic and transcriptomic dataset improved the statistical confidence of the pathway analysis by 2 orders of magnitude. Importantly, proteomics revealed a reduced phosphorylation state of myosin light chain 2 and cardiac troponin I within the contractile apparatus of hibernating hearts in the absence of changes in protein abundance. Our study demonstrates how combining different “-omics” datasets aids in the identification of key biological pathways: chronic hypoxia resulted in a pronounced adaptive response at the transcript and the protein level to keep metabolite levels steady. This preservation of metabolic homeostasis is likely to contribute to the long-term survival of the hibernating myocardium., Graphical Abstract Research Highlights ► The hibernation process was dissected into an initiation and a maintenance phase. ► Glibenclamide, an inhibitor of K(ATP) channels, blocked GLUT1 induction. ► The maintenance phase was characterized by attenuated tissue hypoxia. ► Phosphorylation of myosin light chain 2 and cardiac troponin I was reduced. ► Combining of proteomics and transcriptomics improved the bioinformatic pathway analysis.

The vascular extracellular matrix (ECM) is essential for the structural integrity of the vessel wall and also serves as a substrate for the binding and retention of secreted products of vascular cells as well as molecules coming from the circulation. Although proteomics has been previously applied to vascular tissues, few studies have specifically targeted the vascular ECM and its associated proteins. Thus, its detailed composition remains to be characterized. In this study, we describe a methodology for the extraction of extracellular proteins from human aortas and their identification by proteomics. The approach is based on (a) effective decellularization to enrich for scarce extracellular proteins, (b) successful solubilization and deglycosylation of ECM proteins, and (c) relative estimation of protein abundance using spectral counting. Our three-step extraction approach resulted in the identification of 103 extracellular proteins of which one-third have never been reported in the proteomics literature of vascular tissues. In particular, three glycoproteins (podocan, sclerostin, and agrin) were identified for the first time in human aortas at the protein level. We also identified extracellular adipocyte enhancer-binding protein 1, the cartilage glycoprotein asporin, and a previously hypothetical protein, retinal pigment epithelium (RPE) spondin. Moreover, our methodology allowed us to screen for proteolysis in the aortic samples based on the identification of proteolytic enzymes and their corresponding degradation products. For instance, we were able to detect matrix metalloproteinase-9 by mass spectrometry and relate its presence to degradation of fibronectin in a clinical specimen. We expect this proteomics methodology to further our understanding of the composition of the vascular extracellular environment, shed light on ECM remodeling and degradation, and provide insights into important pathological processes, such as plaque rupture, aneurysm formation, and restenosis.

Objectives We sought to decipher metabolic processes servicing the increased energy demand during persistent atrial fibrillation (AF) and to ascertain whether metabolic derangements might instigate this arrhythmia. Background Whereas electrical, structural, and contractile remodeling processes are well-recognized contributors to the self-perpetuating nature of AF, the impact of cardiac metabolism upon the persistence/initiation of this resilient arrhythmia has not been explored in detail. Methods Human atrial appendage tissues from matched cohorts in sinus rhythm (SR), from those who developed AF post-operatively, and from patients in persistent AF undergoing cardiac surgery were analyzed using a combined metabolomic and proteomic approach. Results High-resolution proton nuclear magnetic resonance (NMR) spectroscopy of cardiac tissue from patients in persistent AF revealed a rise in beta-hydroxybutyrate, the major substrate in ketone body metabolism, along with an increase in ketogenic amino acids and glycine. These metabolomic findings were substantiated by proteomic experiments demonstrating differential expression of 3-oxoacid transferase, the key enzyme for ketolytic energy production. Notably, compared with the SR cohort, the group susceptible to post-operative AF showed a discordant regulation of energy metabolites. Combined principal component and linear discriminant analyses of metabolic profiles from proton NMR spectroscopy correctly classified more than 80% of patients at risk of AF at the time of coronary artery bypass grafting. Conclusions The present study characterized the metabolic adaptation to persistent AF, unraveling a potential role for ketone bodies, and demonstrated that discordant metabolic alterations are evident in individuals susceptible to post-operative AF.

Cultivated vascular smooth muscle cells (SMCs) were surface-labeled with CyDyes followed by biotinylation. After enrichment on avidin columns, proteins were separated on large format gradient gels by SDS-PAGE. A comparison between CyDye-tagged and non-tagged gel bands revealed a substantial increase of protein identifications from membrane, membrane-associated, and extracellular matrix proteins with a corresponding reduction in co-purified intracellular proteins. Notably the majority of identified proteins were involved in cellular adhesion processes. To demonstrate the quantitative potential of this platform, we performed a comparison between mature and embryonic stem cell-derived smooth muscle cells (esSMCs) and identified the membrane proteins E-cadherin, integrin alpha6, and CD98 (4F2) to be significantly up-regulated in esSMCs suggesting that SMCs derived from embryonic stem cells maintain characteristics of their embryonic stem cell origin. This was subsequently confirmed by RT-PCR: despite expressing a panel of smooth muscle markers (calponin, Sm22, and aortic smooth muscle actin), esSMCs remained positive for markers of stem cell pluripotency (Oct4, Nanog, and Rex1). In summary, we describe a novel strategy for the profiling of cell membrane proteins. The procedure combines DIGE technology with biotin/avidin labeling to discriminate membrane and membrane-associated proteins from intracellular contaminants by fluorescence tagging and permits semiquantitative differential expression analysis of membrane proteins.

In an endotoxaemic mouse model of sepsis, a tissuebased proteomics approach for biomarker discovery identified long pentraxin 3 (PTX3) as the lead candidate for inflamed myocardium. When the redox-sensitive oligomerization state of PTX3 was further investigated, PTX3 accumulated as an octamer as a result of disulfide-bond formation in heart, kidney, and lung—common organ dysfunctions seen in patients with sepsis. Oligomeric moieties of PTX3 were also detectable in circulation. The oligomerization state of PTX3 was quantified over the first 11 days in critically ill adult patients with sepsis. On admission day, there was no difference in the oligomerization state of PTX3 between survivors and non-survivors. From day 2 onward, the conversion of octameric to monomeric PTX3 was consistently associated with a greater survival after 28 days of follow-up. For example, by day 2 post-admission, octameric PTX3 was barely detectable in survivors, but it still constituted more than half of the total PTX3 in non-survivors (p < 0.001). Monomeric PTX3 was inversely associated with cardiac damage markers NTproBNP and high-sensitivity troponin I and T. Relative to the conventional measurements of total PTX3 or NT-proBNP, the oligomerization of PTX3 was a superior predictor of disease outcome. Molecular & Cellular Proteomics 13: 10.1074/ mcp.M114.039446, 2545–2557, 2014. Severe sepsis is a common acute illness in intensive care units (ICUs) 1 and is associated with high mortality rates and chronic morbidity. When it is associated with hypotension (termed septic shock), the mortality rate is very high (50% to 80%). Cardiovascular dysfunction during sepsis is multifactorial and often associated with minimal loss of myocardial tissue, but with the release of myocardial-specific markers such as troponins. A key unmet clinical need is the availability of a biomarker that predicts myocardial dysfunction early, monitors response to treatment, and thus identifies a cohort of patients at higher risk of septic shock to aid in targeted interventions and improve outcome (1). In the present study, we used proteomics for biomarker discovery. Over the past decade, the field of proteomics has made impressive progress. Plasma and serum, however, are the most complex proteomes of the human body (2), and less abundant proteins tend to be missed in untargeted proteomics analyses of body fluids (3). Thus, we pursued an alternative strategy: the application of proteomics to diseased tissue (4), in which the potential biomarkers are less dilute and have a less uncertain cellular origin (5–7). We employed a solubilitybased protein-subfractionation methodology to analyze inflammatory proteins that are retained with sepsis tissue. This innovative proteomics approach shall reveal inflammatory molecules that reside and persist within inflamed tissue. We hypothesized that proteins that accumulate in the susceptible tissues are more likely to be biomarker candidates for organ dysfunction than proteins that just circulate in plasma or serum. We then validated our proteomics findings in the preclinical model using samples from sepsis patients admitted to ICUs.

Purpose Venous hypertension in the hepatic, splanchnic and peripheral circulation is associated with significant morbidity and mortality affecting a large population of patients comprised of liver, renal and pulmonary disease. To understand the pathogenesis of human venous hypertension, normal and varicose veins were evaluated using a novel proteomic discovery approach targeting only the extracellular matrix (ECM) proteins. Materials and Methods Varicose saphenous veins removed during phlebectomy and normal saphenous veins obtained during cardiac surgery were collected for proteomics analysis. Following our solubility-based subfractionation methodology (1), ECM proteins were sequentially isolated, deglycosylated, separated by SDS-PAGE and identified using liquid chromatography tandem mass spectrometry (LC-MS/MS). Each tissue sample was further evaluated by histology (toluidine blue, hematoxylin and eosin and Mason’s trichrome stains), immunohistochemistry and Western blot analysis. Results Our proteomic analysis of the human vein ECM revealed 84 proteins, of which 13 proteins demonstrated significant differences in their quantity between the two types of venous tissue (p Conclusion Our proteomics discovery approach suggests that mast cells play a pivotal role in the pathogenesis of venous hypertension. Mast cell proteases, specifically chymase, can degrade components of the ECM, induce inflammation and apoptosis of smooth muscle cells, and activate down-stream pathways that can lead to the development of varicosis. Reference 1. Didangelos A et al. Mol Cell Proteomics. 2011 10(8):M111