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A series of novel mono-1,2,3-triazole and bis-1,2,3-triazole acyclonucleoside analogues of 9-(4-hydroxybutyl)guanine was prepared via copper(I)-catalyzed 1,3-dipolar cycloaddition of N-9 propargylpurine, N-1-propargylpyrimidines/as-triazine with the azido-pseudo-sugar 4-azidobutylacetate under solvent-free microwave conditions, followed by treatment with K2CO3/MeOH, or NH3/MeOH. All compounds studied in this work were screened for their antiviral activities [against human rhinovirus (HRV) and hepatitis C virus (HCV)] and antibacterial activities against a series of Gram positive and negative bacteria.
SAFE Professor Michalis Haliassos was a member of the National Council for Research and Technology (ESET) established by the Government of Greece for the period 2010-2013. The council, consisting of eleven scientists from a range of disciplines, has now published their communiqué "National Strategic Framework for Research and Innovation 2014 -2020".
To promote the advancement of research, technology and innovation in Greece, the strategic plan proposed by the authors seeks to identify areas of existing research strength and excellence that can be further advanced to become engines for progress and growth in Greece, as well as flaws inherent to the present system. The authors stress the need to address current constraints to growth, which include the declining education system; the confusion and weaknesses of R&D governance and management; the discontinuities and inefficiencies of resource allocation and investment; the lack of adaptation to clearly-defined national priorities; and the inadequate opportunities and funding for high-quality research and development to flourish. They stress the need for prioritisation and efficient allocation; stability of the policy frame; predictability of planning; provision of opportunity; recognition of excellence; and responsiveness to current and future needs.
Prothesenallergie : Diagnostik und Risikobewertung bei 172 Patienten mit Gelenk- oder Zahnersatz
(2014)
Komplikationen nach prothetischer Versorgung wirken sich häufig gravierend auf die Lebensqualität der betroffenen Patienten aus. Welche Rolle eine Prothesenallergie als Ursache der Beschwerden spielt, ist bisher nicht hinreichend geklärt. In dieser Arbeit werden 172 Patienten auf die Häufigkeiten prothesenrelevanter Sensibilisierungen sowie deren Korrelation mit der klinischen Symptomatik und allergischer Vorgeschichte untersucht. Das Kollektiv gliedert sich in orthopädische und zahnärztliche Patienten, die entweder vor einer Prothesenimplantation oder nach erfolgter Behandlung getestet wurden. Alle Patienten erhalten einen Epikutantest, der neben häufigen Kontaktallergenen auch die jeweils prothesenspezifischen Stoffe enthält. Die statistische Auswertung erfolgt zunächst mit der Einteilung der Patienten in übergeordnete Kohorten, innerhalb derer die Korrelation jeweils eines speziellen Merkmals mit der Häufigkeit von Sensibilisierungen untersucht wird. Die untersuchten Merkmale sind: Orthopädische gegenüber zahnärztlichen Patienten, präoperative gegenüber postoperativen Beschwerden, Patienten mit gegenüber Patienten ohne atopische Diathese, das Geschlecht und Patienten mit beziehungsweise ohne Typ IV-Allergie. Eine weitere Aufarbeitung erfolgt nach Einteilung in sechs Patientengruppen. Die untersuchten Patientengruppen umfassen die Eigenschaften Prothesenträger, bekannte Typ IV-Allergie, bekannte atopische Diathese, aktuelle prothesenassoziierte Beschwerden beziehungsweise das Fehlen dieser Eigenschaften.
Purpose: Does surgical approach (minimally invasive vs. open) and type (radical vs. partial nephrectomy) affects opioid use and workplace absenteeism.
Materials and Methods: Retrospective multivariable regression analysis of 2,646 opioid-naïve patients between 18 and 64 undergoing radical or partial nephrectomy via either a minimally invasive vs. open approach for kidney cancer in the United States between 2012 and 2017 drawn from the IBM Watson Health Database was performed. Outcomes included: (1) opioid use in opioid-naïve patients as measured by opioid prescriptions in the post-operative setting at early, intermediate and prolonged time periods and (2) workplace absenteeism after surgery.
Results: Patients undergoing minimally invasive surgery had a lower odds of opioid use in the early and intermediate post-operative periods (early: odds ratio [OR], 0.77; 95% confidence interval [CI], 0.62–0.97; p=0.02, intermediate: OR, 0.60; 95% CI, 0.48–0.75; p<0.01), but not in the prolonged setting (prolonged: OR, 1.00; 95% CI, 0.75–1.34; p=0.98) and had earlier return to work (minimally invasive vs. open: −10.53 days; 95% CI, −17.79 to −3.26; p<0.01). Controlling for approach, patient undergoing partial nephrectomy had lower rates of opioid use across all time periods examined and returned to work earlier than patients undergoing radical nephrectomy (partial vs. radical: −14.41 days; 95% CI, −21.22 to −7.60; p<0.01).
Conclusions: Patients undergoing various forms of surgery for kidney cancer had lower rates of peri-operative opioid use, fewer days of workplace absenteeism, but no difference in long-term rates of opioid use in patients undergoing minimally invasive as compared to open surgery.
Up to 50% of patients initially treated for prostate cancer in a curative intent experience biochemical recurrence, possibly requiring adjuvant treatment. However, salvage treatment decisions, such as lymph node dissection or radiation therapy, are typically based on prostate specific antigen (PSA) recurrence. Importantly, common imaging modalities (e.g., computed tomography [CT], magnetic resonance imaging, and bone scan) are limited and the detection of recurrent disease is particularly challenging if PSA is low. Prostate specific membrane antigen (PSMA) positron-emission tomography/computed tomography (PET/CT) is a novel and promising imaging modality which aims to overcome the incapability of early identification of distant and regional metastases. Within this review, we summarize the current evidence related to PSMA-PET/CT in prostate cancer men diagnosed with biochemical recurrence after local treatment with curative intent. We discuss detection rates of PSMA-PET/CT stratified by PSA-levels and its impact on clinical decision making. Furthermore, we compare different imagefusion techniques such as PSMA-PET vs. F-/C-Choline-PET scans vs. PSMA-single photon emission computed tomography/CT. Finally, we touch upon the contemporary role of radio-guided-PSMA salvage lymphadenectomy.
Der technische Fortschritt ermöglicht die Auswertung großer Datenmengen mittels Algorithmen zur Feststellung bislang unbekannter Korrelationen. Schlagwortartig werden solche Analysen unter dem Begriff Big Data zusammengefasst. Häufig sind personenbezogene Daten Gegenstand von Big-Data-Anwendungen, sei es als Grundlage oder Ergebnis einer Auswertung. In diesen Fällen ist das Datenschutzrecht zu beachten.
Der Zweckbindungsgrundsatz fordert die Angabe eines Verarbeitungszwecks bereits bei Erhebung der Daten und eine Bindung des weiteren Datenumgangs an diesen Zweck. Damit besteht ein Spannungsverhältnis zu Big-Data-Anwendungen, die zu Verarbeitungsbeginn den Zweck allenfalls unspezifisch anzugeben vermögen. Auf Grundlage des alten Bundesdatenschutzgesetzes mit einzelnen Ausblicken auf die Datenschutzgrundverordnung untersucht die Arbeit die datenschutzrechtlichen Anforderungen an die Zweckfestlegung und welche Bindungen aus ihr folgen. Zudem nimmt der Autor mögliche Lösungen des Konflikts zwischen Big-Data-Anwendungen und dem Zweckbindungsgrundsatz in den Blick.
Die Physiologie des Schmerzes umfasst komplexe immunologische, sensorische und inflammatorische Prozesse im Rückenmark, im Gehirn und in der Peripherie. Wiederholte nozizeptive Stimulation induziert pathophysiologische Veränderungen bei der Schmerzweiterleitung, aus denen eine periphere oder zentrale Sensibilisierung resultiert. Diese kann bei dafür anfälligen Patienten zu der Ausbildung von chronischen Schmerzzuständen führen. Obwohl das Wissen über die genauen molekularen Vorgänge der Schmerz-Chronifizierung noch immer unvollständig ist, sind die Identifizierung von Risikofaktoren vernünftige Schritte, um die individuelle Anfälligkeit für die Entwicklung chronischer Schmerzen zu bestimmen. Das Hauptziel dieser Doktorarbeit bestand daher in der Identifikation humaner genetischer Biomarker für chronische Schmerzzustände.
Background: Many gene variants modulate the individual perception of pain and possibly also its persistence. The limited selection of single functional variants is increasingly being replaced by analyses of the full coding and regulatory sequences of pain-relevant genes accessible by means of next generation sequencing (NGS).
Methods: An NGS panel was created for a set of 77 human genes selected following different lines of evidence supporting their role in persisting pain. To address the role of these candidate genes, we established a sequencing assay based on a custom AmpliSeqTM panel to assess the exomic sequences in 72 subjects of Caucasian ethnicity. To identify the systems biology of the genes, the biological functions associated with these genes were assessed by means of a computational over-representation analysis.
Results: Sequencing generated a median of 2.85 ⋅ 106 reads per run with a mean depth close to 200 reads, mean read length of 205 called bases and an average chip loading of 71%. A total of 3,185 genetic variants were called. A computational functional genomics analysis indicated that the proposed NGS gene panel covers biological processes identified previously as characterizing the functional genomics of persisting pain.
Conclusion: Results of the NGS assay suggested that the produced nucleotide sequences are comparable to those earned with the classical Sanger sequencing technique. The assay is applicable for small to large-scale experimental setups to target the accessing of information about any nucleotide within the addressed genes in a study cohort.
Background: Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial intelligence and machine‐learning techniques may combine this knowledge with results of genetic research gathered in any context, which permits the identification of the key biological processes involved in chronic sensitization to pain.
Methods: Based on published evidence, a set of 110 genes carrying variants reported to be associated with modulation of the clinical phenotype of persisting pain in eight different clinical settings was submitted to unsupervised machine‐learning aimed at functional clustering. Subsequently, a mathematically supported subset of genes, comprising those most consistently involved in persisting pain, was analysed by means of computational functional genomics in the Gene Ontology knowledgebase.
Results: Clustering of genes with evidence for a modulation of persisting pain elucidated a functionally heterogeneous set. The situation cleared when the focus was narrowed to a genetic modulation consistently observed throughout several clinical settings. On this basis, two groups of biological processes, the immune system and nitric oxide signalling, emerged as major players in sensitization to persisting pain, which is biologically highly plausible and in agreement with other lines of pain research.
Conclusions: The present computational functional genomics‐based approach provided a computational systems‐biology perspective on chronic sensitization to pain. Human genetic control of persisting pain points to the immune system as a source of potential future targets for drugs directed against persisting pain. Contemporary machine‐learned methods provide innovative approaches to knowledge discovery from previous evidence.
Significance: We show that knowledge discovery in genetic databases and contemporary machine‐learned techniques can identify relevant biological processes involved in Persitent pain.
Background: The opioid system is involved in the control of pain, reward, addictive behaviors and vegetative effects. Opioids exert their pharmacological actions through the agonistic binding at opioid receptors and variation in the coding genes has been found to modulate opioid receptor expression or signaling. However, a limited selection of functional opioid receptor variants is perceived as insufficient in providing a genetic diagnosis of clinical phenotypes and therefore, unrestricted access to opioid receptor genetics is required.
Methods: Next-generation sequencing (NGS) workflow was based on a custom AmpliSeq™ panel and designed for sequencing of human genes related to the opioid receptor group (OPRM1, OPRD1, OPRK1, SIGMA1, OPRL1) on an Ion PGM™ Sequencer. A cohort of 79 previously studied chronic pain patients was screened to evaluate and validate the detection of exomic sequences of the coding genes with 25 base pair exon padding. In-silico analysis was performed using SNP and Variation Suite® software.
Results: The amplicons covered approximately 90% of the target sequence. A median of 2.54 × 106 reads per run was obtained generating a total of 35,447 nucleotide reads from each DNA sample. This identified approximately 100 chromosome loci where nucleotides deviated from the reference sequence GRCh37 hg19, including functional variants such as the OPRM1 rs1799971 SNP (118 A > G) as the most scientifically regarded variant or rs563649 SNP coding for μ-opioid receptor splice variants. Correspondence between NGS and Sanger derived nucleotide sequences was 100%.
Conclusion: Results suggested that the NGS approach based on AmpliSeq™ libraries and Ion PGM sequencing is a highly efficient mutation detection method. It is suitable for large-scale sequencing of opioid receptor genes. The method includes the variants studied so far for functional associations and adds a large amount of genetic information as a basis for complete analysis of human opioid receptor genetics and its functional consequences.