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Background: The search for biomarkers in Parkinson's disease (PD) is crucial to identify the disease early and monitor the effectiveness of neuroprotective therapies. We aim to assess whether a gene signature could be detected in blood from early/mild PD patients that could support the diagnosis of early PD, focusing on genes found particularly altered in the substantia nigra of sporadic PD.
Results: The transcriptional expression of seven selected genes was examined in blood samples from 62 early stage PD patients and 64 healthy age-matched controls. Stepwise multivariate logistic regression analysis identified five genes as optimal predictors of PD: p19 S-phase kinase-associated protein 1A (odds ratio [OR] 0.73; 95% confidence interval [CI] 0.60-0.90), huntingtin interacting protein-2 (OR 1.32; CI 1.08-1.61), aldehyde dehydrogenase family 1 subfamily A1 (OR 0.86; 95% CI 0.75-0.99), 19 S proteasomal protein PSMC4 (OR 0.73; 95% CI 0.60-0.89) and heat shock 70-kDa protein 8 (OR 1.39; 95% CI 1.14-1.70). At a 0.5 cut-off the gene panel yielded a sensitivity and specificity in detecting PD of 90.3 and 89.1 respectively and the area under the receiving operating curve (ROC AUC) was 0.96. The performance of the five-gene classifier on the de novo PD individuals alone composing the early PD cohort (n = 38), resulted in a similar ROC with an AUC of 0.95, indicating the stability of the model and also, that patient medication had no significant effect on the predictive probability (PP) of the classifier for PD risk. The predictive ability of the model was validated in an independent cohort of 30 patients at advanced stage of PD, classifying correctly all cases as PD (100% sensitivity). Notably, the nominal average value of the PP for PD (0.95 (SD = 0.09)) in this cohort was higher than that of the early PD group (0.83 (SD = 0.22)), suggesting a potential for the model to assess disease severity. Lastly, the gene panel fully discriminated between PD and Alzheimer's disease (n = 29).
Conclusions: The findings provide evidence on the ability of a five-gene panel to diagnose early/mild PD, with a possible diagnostic value for detection of asymptomatic PD before overt expression of the disorder.
Background
Enteric glial cells (EGCs) are the main constituent of the enteric nervous system and share similarities with astrocytes from the central nervous system including their reactivity to an inflammatory microenvironment. Previous studies on EGC pathophysiology have specifically focused on mucosal glia activation and its contribution to mucosal inflammatory processes observed in the gut of inflammatory bowel disease (IBD) patients. In contrast knowledge is scarce on intestinal inflammation not locally restricted to the mucosa but systemically affecting the intestine and its effect on the overall EGC network.
Methods and Results
In this study, we analyzed the biological effects of a systemic LPS-induced hyperinflammatory insult on overall EGCs in a rat model in vivo, mimicking the clinical situation of systemic inflammation response syndrome (SIRS). Tissues from small and large intestine were removed 4 hours after systemic LPS-injection and analyzed on transcript and protein level. Laser capture microdissection was performed to study plexus-specific gene expression alterations. Upon systemic LPS-injection in vivo we observed a rapid and dramatic activation of Glial Fibrillary Acidic Protein (GFAP)-expressing glia on mRNA level, locally restricted to the myenteric plexus. To study the specific role of the GFAP subpopulation, we established flow cytometry-purified primary glial cell cultures from GFAP promotor-driven EGFP reporter mice. After LPS stimulation, we analyzed cytokine secretion and global gene expression profiles, which were finally implemented in a bioinformatic comparative transcriptome analysis. Enriched GFAP+ glial cells cultured as gliospheres secreted increased levels of prominent inflammatory cytokines upon LPS stimulation. Additionally, a shift in myenteric glial gene expression profile was induced that predominantly affected genes associated with immune response.
Conclusion and Significance
Our findings identify the myenteric GFAP-expressing glial subpopulation as particularly susceptible and responsive to acute systemic inflammation of the gut wall and complement knowledge on glial involvement in mucosal inflammation of the intestine.
A major obstacle in infection biology is the limited ability to recapitulate human disease trajectories in traditional cell culture and animal models, which impedes the translation of basic research into clinics. Here, we introduce a three-dimensional (3D) intestinal tissue model to study human enteric infections at a level of detail that is not achieved by conventional two-dimensional monocultures. Our model comprises epithelial and endothelial layers, a primary intestinal collagen scaffold, and immune cells. Upon Salmonella infection, the model mimics human gastroenteritis, in that it restricts the pathogen to the epithelial compartment, an advantage over existing mouse models. Application of dual transcriptome sequencing to the Salmonella-infected model revealed the communication of epithelial, endothelial, monocytic, and natural killer cells among each other and with the pathogen. Our results suggest that Salmonella uses its type III secretion systems to manipulate STAT3-dependent inflammatory responses locally in the epithelium without accompanying alterations in the endothelial compartment. Our approach promises to reveal further human-specific infection strategies employed by Salmonella and other pathogens.
IMPORTANCE Infection research routinely employs in vitro cell cultures or in vivo mouse models as surrogates of human hosts. Differences between murine and human immunity and the low level of complexity of traditional cell cultures, however, highlight the demand for alternative models that combine the in vivo-like properties of the human system with straightforward experimental perturbation. Here, we introduce a 3D tissue model comprising multiple cell types of the human intestinal barrier, a primary site of pathogen attack. During infection with the foodborne pathogen Salmonella enterica serovar Typhimurium, our model recapitulates human disease aspects, including pathogen restriction to the epithelial compartment, thereby deviating from the systemic infection in mice. Combination of our model with state-of-the-art genetics revealed Salmonella-mediated local manipulations of human immune responses, likely contributing to the establishment of the pathogen's infection niche. We propose the adoption of similar 3D tissue models to infection biology, to advance our understanding of molecular infection strategies employed by bacterial pathogens in their human host.
In Lymphozyten wird nach Antigenaktivierung die Expression des Nfatc1-Gens durch Aktivierung des P1-Promoters stark induziert. Dagegen ist die, durch den Promoter P2 vermittelte Expression ebenso wie die der anderen NFAT Faktoren c2 und c3 konstitutiv. Die Akkumulation der dabei gebildeten Isoform NFATc1/αA ist sowohl für Effektorfunktionen wie die Zytokinproduktion sowie die Proliferation und das Überleben der aktivierten Zellen wichtig (Chuvpilo et al., 2002). Um die Expression des Nfatc1-Gens auf Einzelzellebene messen zu können, wurden BAC (bacterial artificial chromosom) transgene Mauslinien generiert, die einen 210kb großen Bereich des Nfatc1-Gens der Maus enthalten. In diesen Lokus wurde ein eGFP-Reportergen innerhalb des allen Isoformen gemeinsamen, dritten Exons integriert. In dieser Arbeit wird durch semiquantitative RT-PCR-Experimente von Gesamt-Milzzellen und TLymphozyten gezeigt, dass in den B6/NFATc1-eGFP-BAC-Reportermäusen die Expression der eGFP-cDNA analog zum endogenen Nfatc1-Lokus der Kontrolle der beiden Promotoren P1 und P2 unterliegt. In Western Blot Experimenten wird in diesen Zellen mittels eines NFATc1α-spezifischen Antikörpers eine induzierbare und CsA-sensitive α-GFP-Isoform - vergleichbar mit der endogenen NFATc1α-Isoform - nachgewiesen. Gleichzeitig zeigen NFATc1-Antikörper das konstitutiv exprimierte GFPβ-Protein. Die Korrelation der Expression von NFATc1 und GFP auf mRNA- und Proteinebene machen in B6/NFATc1-eGFP-BAC-Reportermäusen das GFP-Protein somit zu einem sensitiven und spezifischen Marker der NFATc1-Aktivität. In FACS-Analysen gibt der Anstieg der GFP-Fluoreszenzintensität bei Stimulation von Gesamt- Milzzellen bzw. T-Lymphozyten um bis auf das Dreifache die Induktion von NFATc1 wider. Unter dem Einfluss von CsA verbleibt die GFPFluoreszenzintensität auf dem Niveau unstimulierter Zellen. Die GFPFluoreszenz korreliert darüber hinaus bei Primärstimulation mit der Expression des IL-2-Gens, dessen Promotor mit 5 NFAT-Bindestellen den Prototyp eines NFATc1-Targets darstellt (Serfling et al., 1989). Die Analyse der Koexpression von NFATc1 und GFP mittels Fluoreszenzmikroskopie zeigt in allen stimulierten, GFP-positiven CD4+-Lymphozyten die nukleäre Lokalisation von 75 NFATc1, vor allem von NFATc1α. Die Analyse des GFP-Phänotyps in alloreaktiven T-Zellen zeigt bei Abstoßungsreaktionen in vitro („Mixed Lymphocyte Reactions“) eine selektive Zunahme der Fluoreszenz dieser Zellen um bis auf das Vierfache, was die Rolle von NFATc1 für die Effektorfunktion aktivierter T-Lymphozyten verdeutlicht. GFP und das endogene NFATc1 werden bei Stimulation konventioneller T-Zellen (Tcons, CD4+CD25-FoxP3-) stark exprimiert, während natürliche regulatorische T-Zellen (nTregs, CD4+CD25+FoxP3+) konstant geringe NFATc1- und GFP-Konzentrationen zeigen. In induzierten regulatorischen T-Lymphozyten (iTregs) supprimiert TGF- β konzentrationsabhängig die GFP-Fluoreszenz bis auf das Niveau unstimulierter Lymphozyten. Während in nTregs die Suppression des Nfatc1- Gens im wesentlichen durch FoxP3 erfolgt (Torgerson et al., 2009), scheint dies in iTregs vor allem über den TGF-β Signalweg vermittelt zu werden. Die Analyse der GFP-Expression in den verschiedenen Stadien der TZellentwicklung zeigt weiterhin deutliche Unterschiede in der Aktivität des Nfatc1-Gens. Dies wird durch die starke Aktivität des BAC-Genlokus in CD4- CD8- DN Thymozyten, welche eine sechsfach höhere GFP-Expression aufweisen als CD4+CD8+ DP Zellen, deutlich.
Brain metastases are the most severe tumorous spread during breast cancer disease. They are associated with a limited quality of life and a very poor overall survival. A subtype of extracellular vesicles, exosomes, are sequestered by all kinds of cells, including tumor cells, and play a role in cell-cell communication. Exosomes contain, among others, microRNAs (miRs). Exosomes can be taken up by other cells in the body, and their active molecules can affect the cellular process in target cells. Tumor-secreted exosomes can affect the integrity of the blood-brain barrier (BBB) and have an impact on brain metastases forming. Serum samples from healthy donors, breast cancer patients with primary tumors, or with brain, bone, or visceral metastases were used to isolate exosomes and exosomal miRs. Exosomes expressed exosomal markers CD63 and CD9, and their amount did not vary significantly between groups, as shown by Western blot and ELISA. The selected 48 miRs were detected using real-time PCR. Area under the receiver-operating characteristic curve (AUC) was used to evaluate the diagnostic accuracy. We identified two miRs with the potential to serve as prognostic markers for brain metastases. Hsa-miR-576-3p was significantly upregulated, and hsa-miR-130a-3p was significantly downregulated in exosomes from breast cancer patients with cerebral metastases with AUC: 0.705 and 0.699, respectively. Furthermore, correlation of miR levels with tumor markers revealed that hsa-miR-340-5p levels were significantly correlated with the percentage of Ki67-positive tumor cells, while hsa-miR-342-3p levels were inversely correlated with tumor staging. Analysis of the expression levels of miRs in serum exosomes from breast cancer patients has the potential to identify new, non-invasive, blood-borne prognostic molecular markers to predict the potential for brain metastasis in breast cancer. Additional functional analyzes and careful validation of the identified markers are required before their potential future diagnostic use.
The molecular pathogenesis of thymomas and thymic arcinomas (TCs) is poorly understood and results of adjuvant therapy are unsatisfactory in case of metastatic disease and tumor recurrence. For these clinical settings, novel therapeutic strategies are urgently needed. Recently, limited sequencing efforts revealed that a broad spectrum of genes that play key roles in various common cancers are rarely affected in thymomas and TCs, suggesting that other oncogenic principles might be important.This made us re-analyze historic expression data obtained in a spectrumof thymomas and thymic squamous cell carcinomas (TSCCs) with a custom-made cDNA microarray. By cluster analysis, different anti-apoptotic signatures were detected in type B3 thymoma and TSCC, including overexpression of BIRC3 in TSCCs. This was confirmed by qRT-PCR in the original and an independent validation set of tumors. In contrast to several other cancer cell lines, the BIRC3-positive TSCC cell line, 1889c showed spontaneous apoptosis after BIRC3 knock-down. Targeting apoptosis genes is worth testing as therapeutic principle in TSCC.
The volatile anesthetic desflurane (DES) effectively reduces cardiac infarct size following experimental ischemia/reperfusion injury in the mouse heart. We hypothesized that endogenous estrogens play a role as mediators of desflurane-induced preconditioning against myocardial infarction. In this study, we tested the hypothesis that desflurane effects local estrogen synthesis by modulating enzyme aromatase expression and activity in the mouse heart. Aromatase metabolizes testosterone to 17b- estradiol (E2) and thereby significantly contributes to local estrogen synthesis. We tested aromatase effects in acute myocardial infarction model in male mice. The animals were randomized and subjected to four groups which were pre-treated with the selective aromatase inhibitor anastrozole (A group) and DES alone (DES group) or in combination (A+DES group) for 15 minutes prior to surgical intervention whereas the control group received 0.9% NaCl (CON group). All animals were subjected to 45 minutes ischemia following 180 minutes reperfusion. Anastrozole blocked DES induced preconditioning and increased infarct size compared to DES alone (37.94615.5% vs. 17.163.62%) without affecting area at risk and systemic hemodynamic parameters following ischemia/reperfusion. Protein localization studies revealed that aromatase was abundant in the murine cardiovascular system with the highest expression levels in endothelial and smooth muscle cells. Desflurane application at pharmacological concentrations efficiently upregulated aromatase expression in vivo and in vitro. We conclude that desflurane efficiently regulates aromatase expression and activity which might lead to increased local estrogen synthesis and thus preserve cellular integrity and reduce cardiac damage in an acute myocardial infarction model.
The Epstein-Barr Virus (EBV) -encoded EBNA2 protein, which is essential for the in vitro transformation of B-lymphocytes, interferes with cellular processes by binding to proteins via conserved sequence motifs. Its Arginine-Glycine (RG) repeat element contains either symmetrically or asymmetrically di-methylated arginine residues (SDMA and ADMA, respectively). EBNA2 binds via its SDMA-modified RG-repeat to the survival motor neurons protein (SMN) and via the ADMA-RG-repeat to the NP9 protein of the human endogenous retrovirus K (HERV-K (HML-2) Type 1). The hypothesis of this work was that the methylated RG-repeat mimics an epitope shared with cellular proteins that is used for interaction with target structures. With monoclonal antibodies against the modified RG-repeat, we indeed identified cellular homologues that apparently have the same surface structure as methylated EBNA2. With the SDMA-specific antibodies, we precipitated the Sm protein D3 (SmD3) which, like EBNA2, binds via its SDMA-modified RG-repeat to SMN. With the ADMA-specific antibodies, we precipitated the heterogeneous ribonucleoprotein K (hnRNP K). Specific binding of the ADMA-antibody to hnRNP K was demonstrated using E. coli expressed/ADMA-methylated hnRNP K. In addition, we show that EBNA2 and hnRNP K form a complex in EBV-infected B-cells. Finally, hnRNP K, when co-expressed with EBNA2, strongly enhances viral latent membrane protein 2A (LMP2A) expression by an unknown mechanism as we did not detect a direct association of hnRNP K with DNA-bound EBNA2 in gel shift experiments. Our data support the notion that the methylated surface of EBNA2 mimics the surface structure of cellular proteins to interfere with or co-opt their functional properties.
Der Blutkreislauf ist als wichtigstes Transportsystem im menschlichen Körper essentiell für die Versorgung der Gewebe und Organe mit Sauerstoff, Nährstoffen, Hormonen etc. Zwei Zelltypen, die eine wichtige Rolle bei der Aufrechterhaltung eines funktionell intakten Blutgefäßsystems spielen, sind Thrombozyten, die zentralen Mediatoren der Blutgerinnung, und Endothelzellen, welche die luminale Seite der Gefäßwände auskleiden. Diese beiden Zellen sind aber auch wesentlich an der Pathologie der Atherosklerose und kardiovaskulärer Erkrankungen beteiligt. Durch direkte und indirekte Interaktionen beeinflussen sich diese beiden Zelltypen gegenseitig und regulieren ihre Aktivität. Im Rahmen dieser Arbeit wurde eine Analysenmethode entwickelt, welche den Funktionszustand der Thrombozyten quantitativ erfaßt. Sowohl die Aktivierung als auch die Hemmung humaner Thrombozyten wird durch die Phosphorylierung spezifischer Signalproteine reguliert. Basierend auf der Verwendung phosphorylierungsspezifischer Antikörper und der Durchflußzytometrie wurde eine Methode etabliert, welche die Proteinphosphorylierung auf Einzelzellebene erfaßt, schnell quantifizierbare Ergebnisse liefert und für die Analyse im Vollblut geeignet ist. Da die Sekretion von Endothelfaktoren den Phosphorylierungszustand dieser Proteine in den Thrombozyten beeinflußt, kann die Methode auch dazu verwendet werden, indirekt Rückschlüsse auf den Funktionszustand der Endothelzellen zu gewinnen. In einer ersten klinischen Anwendung wurde die Methode eingesetzt, um den Therapieverlauf der antithrombotischen Medikamente Ticlopidin und Clopidogrel, welche gezielt die ADP-induzierte Thrombozytenaktivierung hemmen, zu verfolgen und das Antwortverhalten von Patienten auf diese Medikamente zu messen. Mehrere Personen, bei denen Ticlopidin und Clopidogrel keine Wirkung zeigten, wurden gefunden, ein Hinweis darauf, daß eine Resistenz gegen Thienopyridine vorkommt. Es ist bekannt, daß Endothelfaktoren bestimmte Aspekte der Thrombozytenaktivierung hemmen. In dieser Arbeit wurde gezeigt, daß die Phosphorylierung der p38 und p42 Mitogen-aktivierten Proteinkinasen, die im Verlauf der Thrombozytenaktivierung von zahlreichen Agonisten induziert wird, ebenfalls durch die endothelialen Vasodilatatoren NO (Stickstoffmonoxid) und Prostaglandin gehemmt wurde. Außerdem hemmten diese Substanzen die Translokation der inflammatorischen Moleküle P-Selektin und CD40 Ligand (CD40L) aus intrazellulären Speicherorganellen auf die Thrombozytenoberfläche. P-Selektin und CD40L werden auf aktivierten Thrombozyten exprimiert und sind direkt an der Interaktion von Thrombozyten mit Leukozyten und Endothelzellen beteiligt. Um die Auswirkung von CD40L, P-Selektin und weiteren Faktoren aktivierter Thrombozyten auf humane Endothelzellen zu untersuchen, wurde mit Hilfe von cDNA-Arrays die differentielle Genexpression in Endothelzellen nach Koinkubation mit aktivierten Thrombozyten analysiert. Neben einer bereits bekannten Hochregulierung von Faktoren, die an inflammatorischen Prozessen beteiligt sind, wurde eine verstärkte Expression von Transkriptionsfaktoren (c-Jun, Egr1, CREB2), Wachstumsfaktoren (PDGF) sowie von Adhäsionsrezeptoren für extrazelluläre Matrixproteine (Integrin av, Integrin b1) gefunden. Diese Faktoren weisen darauf hin, daß aktivierte Thrombozyten die Migration und Proliferation der Endothelzellen anregen und damit die Wundheilung, aber auch pathophysiologische Prozesse wie die Ausbildung atherosklerotischer Plaques induzieren könnten.
Background: The frequency of the most observed cancer, Non Hodgkin Lymphoma (NHL), is further rising. Diffuse large B-cell lymphoma (DLBCL) is the most common of the NHLs. There are two subgroups of DLBCL with different gene expression patterns: ABC (“Activated B-like DLBCL”) and GCB (“Germinal Center B-like DLBCL”). Without therapy the patients often die within a few months, the ABC type exhibits the more aggressive behaviour. A further B-cell lymphoma is the Mantle cell lymphoma (MCL). It is rare and shows very poor prognosis. There is no cure yet. Methods: In this project these B-cell lymphomas were examined with methods from bioinformatics, to find new characteristics or undiscovered events on the molecular level. This would improve understanding and therapy of lymphomas. For this purpose we used survival, gene expression and comparative genomic hybridization (CGH) data. In some clinical studies, you get large data sets, from which one can reveal yet unknown trends. Results (MCL): The published proliferation signature correlates directly with survival. Exploratory analyses of gene expression and CGH data of MCL samples (n=71) revealed a valid grouping according to the median of the proliferation signature values. The second axis of correspondence analysis distinguishes between good and bad prognosis. Statistical testing (moderate t-test, Wilcoxon rank-sum test) showed differences in the cell cycle and delivered a network of kinases, which are responsible for the difference between good and bad prognosis. A set of seven genes (CENPE, CDC20, HPRT1, CDC2, BIRC5, ASPM, IGF2BP3) predicted, similarly well, survival patterns as proliferation signature with 20 genes. Furthermore, some bands could be associated with prognosis in the explorative analysis (chromosome 9: 9p24, 9p23, 9p22, 9p21, 9q33 and 9q34). Results (DLBCL): New normalization of gene expression data of DLBCL patients revealed better separation of risk groups by the 2002 published signature based predictor. We could achieve, similarly well, a separation with six genes. Exploratory analysis of gene expression data could confirm the subgroups ABC and GCB. We recognized a clear difference in early and late cell cycle stages of cell cycle genes, which can separate ABC and GCB. Classical lymphoma and best separating genes form a network, which can classify and explain the ABC and GCB groups. Together with gene sets which identify ABC and GCB we get a network, which can classify and explain the ABC and GCB groups (ASB13, BCL2, BCL6, BCL7A, CCND2, COL3A1, CTGF, FN1, FOXP1, IGHM, IRF4, LMO2, LRMP, MAPK10, MME, MYBL1, NEIL1 and SH3BP5; Altogether these findings are useful for diagnosis, prognosis and therapy (cytostatic drugs).