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- DFG Forschungsgruppe 2757 / Lokale Selbstregelungen im Kontext schwacher Staatlichkeit in Antike und Moderne (LoSAM) (2)
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Schicksal von Mikrokernen bzw. mikrokernhaltigen Zellen und Bedeutung von Mikrokernen als Biomarker
(2021)
Mikrokerne sind als wichtiger Biomarker in der Gentoxizitätsforschung seit langer Zeit etabliert und ihre Bildung ist mechanistisch gut verstanden, wohingegen das Mikrokernschicksal und die genaue Funktion von Mikrokernen in der Kanzerogenese unzureichend erforscht sind. Um das Schicksal von Mikrokernen und mikrokernhaltigen Zellen über einen längeren Zeitraum zu untersuchen, wurden HeLa-Zellen, die mit einem GFP-markierten Histon H2B transfiziert worden sind, mittels Lebendzellmikroskopie nach Behandlung mit verschiedenen gentoxischen Agenzien für 96 h untersucht. Parameter wie die Mitose- oder Zelltodrate wurden dabei ebenso wie das Schicksal der Mikrokerne dokumentiert. Während Persistenz und Reinkorporation von Mikrokernen häufig beobachtet wurden, waren Degradation und Auswurf von Mikrokernen selten bis gar nicht zu sehen. Auch konnte ein Teil der mikrokernhaltigen Zellen über mehrere Zellteilungen persistieren und proliferieren, wodurch die in Mikrokernen manifestierte chromosomale Instabilität unverändert bleiben kann. Ein eindeutiger Substanzeinfluss auf das Mikrokernschicksal konnte nicht ausgemacht werden. Extrusion sollte weiterhin durch Behandlung mit Hydroxyurea oder Cytochalasin B in Kombination mit gentoxischer Behandlung induziert werden, es wurde jedoch kein Effekt auf die Extrusionsrate beobachtet. Degradation wurde mittels γH2AX-Antikörperfärbung und transduziertem dsRed-markierten Autophagiemarker LC3B in HeLa-H2B-GFP-Zellen untersucht. Trotz erhöhter DNA-Degradation in Mikrokernen wurde nur selten eine Ko-Lokalisierung mit LC3B beobachtet. Dafür gab es in HeLa-H2B-GFP-Zellen, die zusätzlich mit dsRed markierten Kernmembranmarker Lamin B1 transduziert worden sind, Anzeichen für eine eingeschränkte Mikrokernmembranintegrität. Weiterhin wurden Zytokinese-Block Mikrokerntests nach Behandlung mit Thebain mit und ohne metabolische Aktivierung sowie Celecoxib und Celecoxibderivaten durchgeführt. Hierbei wurde nach Thebainbehandlung nur ohne metabolische Aktivierung und bei Anwesenheit von Zytotoxizität mehr Mikrokerne gefunden, während nach Behandlung mit Celecoxib und Celecoxibderivaten kein Anstieg beobachtet wurde. Zusätzlich wurde der Einfluss durch neurodegenerative Veränderungen auf Mundschleimhautzellen in zwei großen Kohorten untersucht, wobei keine Effekte auf die Häufigkeit von Mikrokernen oder mikrokernhaltigen Zellen zugeordnet werden konnten, während es teilweise bei Parametern, die auf Zytotoxizität hindeuten, zu Veränderungen kam. Es konnte insgesamt gezeigt werden, dass Mikrokerne und mikrokernhaltige Zellen zusätzlich zu ihrer Funktion als Biomarker über wenigstens mehrere Zellteilungen bestehen bleiben können. Auf diese Weise können sie z. B. über Chromothripsis zu einer beschleunigten Kanzerogenese führen, was zu einer schlechten Prognose für Krebspatienten führen kann.
Die tiefe Hirnstimulation ist eine etablierte und hocheffiziente operative Behandlungsmethode für Patienten mit idiopathischem Parkinson- Syndrom (IPS). Als Zielgebiet dient in den meisten Fällen der Nucleus subthalamicus. Die Indikationen zur Implantation einer tiefen Hirnstimulation (THS) sind medikamentös nicht behandelbare motorische Fluktuationen und Dyskinesien oder ein medikamentös nicht kontrollierbarer Tremor.
Bislang erfolgt eine kontinuierliche Stimulation. Little et al. konnten jedoch bereits in ihrer 2013 veröffentlichen Studie zeigen, dass eine adaptive Stimulation, gemessen am UPDRS, um 27 % effektiver war und entsprechend die Stimulationszeit um 56 % gesenkt werden konnte.
Voraussetzung für die Anwendbarkeit einer adaptiven Stimulation im klinischen Alltag ist der Nachweis eines oder mehrerer Physiomarker, welche als Rückkopplungssignal für den Stimulationsbeginn dienen. Diese Marker müssen verlässlich mit dem Auftreten und der Ausprägung der Bewegungsstörungen korrelieren. Die Systeme müssen die Signale auslesen und entsprechend darauf reagieren können, damit ein sogenanntes Closed- loop- Verfahren entstehen kann. Bei diesen Markern handelt es sich um sogenannte lokale Feldpotenzialaktivitäten, das heißt niederfrequente Potentialänderungen von Zellen in subkortikalen Arealen des Gehirns, welche über Elektroden der THS abgeleitet werden können. Der Stimulator Activa PC+S (Medtronic) ermöglicht es erstmalig Aufzeichnungen von LFP- Daten, außerhalb eines experimentellen Laboraufbaus, mittels dauerhaft implantiertem Gerät vorzunehmen und damit auch Langzeitanalysen durchzuführen.
Erkenntnisse vergangener Studien ergaben, dass die synchronisierte, pathologisch gesteigerte oszillatorische Aktivität im Beta-Frequenzband (13- 35 Hz) eine bedeutende Rolle im Bezug auf die Pathophysiologie des IPS spielt und als krankheitsspezifische Aktivität gilt. Es konnte bereits belegt werden, dass die Verbesserung der motorischen Symptome (Bradykinese und Rigor) mit dem Ausmaß der Suppression der Betaband- Aktivität korreliert. Die Betabandaktivität als lokale Feldpotentialaktivität kann als Physiomarker einer adaptiven Stimulation dienen.
Unser Hauptaugenmerk galt daher der Analyse der Betabandaktivität oder anderer Frequenzbereiche während des Schlafes um hier die THS bedarfsgerecht einzusetzen. Hierfür wurden nächtliche subkortikale LFP- Aufzeichnungen parallel zur Schlaf- Polysomnographie durchgeführt. Zudem erfolgte in der vorliegenden Arbeit sowohl in unserem Vorversuch als auch in unserem Hauptversuch die Anwendung des UPDRS Teil III zur Erfassung der motorischen Symptome, sowie die Durchführung von Fragebögen zur Erfassung der nicht- motorischen Symptome, insbesondere des Schlafes vor und nach Implantation der tiefen Hirnstimulation.
Wir konnten belegen, dass es nach Implantation der THS zu einer Erhöhung der Schlafeffizienz und zu einer Erhöhung des Anteils der Schlafstadien II und III und damit einhergehend zu einer Steigerung der Schlafqualität kommt. Übereinstimmend mit anderen Studien konnten wir zeigen, dass sich die Motorik unter Stimulation deutlich verbessert. Im Vorversuch reduzierte sich der mittlere präoperative MDS- UPDRS III im MedsOFF verglichen mit dem mittleren postoperativ MDS- UPDRS III im MedsOFF/StimON um 37 %. In der PC+S- Studie imponierte eine Reduktion um 67%. Zudem zeigte sich eine Reduktion der nicht- motorischen Symptome durch die THS, insbesondere in der Kategorie Schlaf. Die Ergebnisse der vorliegenden Arbeit ergaben außerdem, dass die Betabandaktivität im Schlafstadium II und vor allem im Schlafstadium III am geringsten ist. Im Schlafstadium I und REM ist die Betabandaktivität höher als im Schlafstadium II und III. Hierbei war entscheidend, dass die Patienten eine klar abgrenzbare Betabandaktivität im Wachstadium aufwiesen und die Elektrodenkontakte im dorsolateralen Kerngebiet des STN lokalisiert waren.
Gegenläufig dazu verhält sich die Deltaaktivität. Sie ist im Schlafstadium II und besonders im Stadium III am höchsten. Stadium I ist mit durchschnittlich um 7,3 % niedriger als im Wachstadium. Am geringsten ist sie jedoch im REM-Schlafstadium.
Indem wir mit der Betabandaktivität und Deltaaktivität in den einzelnen Schlafstadien einen stabilen und reproduzierbaren Physiomarker finden konnten, sind wir unserem Ziel der adaptiven THS ein Stück näher gekommen.
Hintergrund: Die Entwicklung minimal-invasiver gewebeschonender Zugangswege in der Hüftendoprothetik ist im Allgemeinen mit einer schnelleren Rehabilitation, einer Verringerung der postoperativen Schmerzen und einem erhöhten Patientenkomfort verbunden. Das Ziel dieser Studie war es, einen anterioren minimal-invasiven mit einem transglutealen lateralen Zugangsweg für Hüftgelenksersatzoperationen in Bezug auf postoperatives Schmerzniveau, den Schmerzmittelgebrauch, die Länge des Krankenhausaufenthalts und die Zeit bis zum Erreichen eines definierten physiotherapeutischen Therapiezieles zu vergleichen.
Methoden: In dieser retrospektiven Kohortenstudie untersuchten wir 200 Patienten, die sich einer Hüftendoprothesenimplantation unterzogen. Gruppe I (n = 100) erhielt einen minimal-invasiven anterioren Hüftzugang (modifiziert nach Smith-Peterson), Gruppe II (n = 100) erhielt einen lateralen transglutealen Zugang (nach Bauer). Die Untersuchungsziele waren der Schmerz in Ruhe und während der Physiotherapie, der Schmerzmittelgebrauch, die Länge des stationären Aufenthaltes sowie die Zeitdauer bis zum Erreichen des physiotherapeutischen Therapiezieles.
Ergebnisse: Die Patienten der Gruppe I konsumierten weniger Schmerzmedikamente (19,6 ± 6,9 mg Piritramid gegenüber 23,6 ± 11,3 mg; p = 0,005) und hatten in der frühen postoperativen Phase weniger Schmerzen (Operationstag: VAS 1,3 ± 1 gegenüber 2,3 ± 1,3, p = 0,0001, erster postoperativer Tag: VAS 0,41 ± 0,8 vs. 0,66 ± 1,1, p = 0,036). Die Zeit bis zum Erreichen des definierten Therapiezieles (6,4 ± 2 Tage gegenüber 7,4 ± 2,1 Tagen; p = 0,001) und die Dauer des Krankenhausaufenthalts waren kürzer (10,2 ± 1,9 Tage gegenüber 13,4 ± 1,6 Tagen; p = 0,0001) für Gruppe I. Die Schmerzen während der Physiotherapie waren jedoch am dritten und sechsten bis neunten Tag nach der Operation im Vergleich zu Gruppe II höher (p = 0,001–0,013).
Schlussfolgerung: Die Implantation einer Hüftprothese über einen minimal-invasiven anterioren Zugang führt in der direkt postoperativen Phase zu einer Reduktion des Schmerzniveaus und des Schmerzmittelgebrauchs. Zusätzlich werden das Erreichen des physiotherapeutischen Therapiezieles und die Länge des stationären Aufenthaltes positiv beeinflusst. Den höheren Schmerzen während der Physiotherapie könnte durch eine Reduktion der erlaubten Gewichtsbelastung in der frühen postoperativen Phase entgegengewirkt werden.
Die menschliche Verwundbarkeit stellt eine unerhörte Macht dar im persönlichen und politischen, sozialen und ökonomischen, kulturellen und religiösen Leben. Das hat nicht zuletzt die Corona-Pandemie gezeigt. Wie menschliche Gemeinschaften mit dieser Vulnerabilität umgehen, ist gesellschaftlich relevant und zugleich prekär. Denn Vulnerabilität fordert zum Handeln auf und setzt destruktive und kreative Kräfte frei.
Die DFG-Forschungsstudie „Schöpfung durch Verlust“ liefert einen Beitrag zu jenem Wissenschaftsdiskurs, der „Vulnerabilität“ in den letzten Jahrzehnten zu einem Schlüsselbegriff interdisziplinärer Forschung machte. Sie bietet eine ausführliche Analyse des Vulnerabilitätsdiskurses und bringt mit dem Philosophen und Religionstheoretiker Georges Bataille (1897–1962) erstmals eine sakraltheoretische Perspektive ein. Warum sind Menschen bereit, Opfer zu bringen und Verletzungen in Kauf zu nehmen für das, was ihnen heilig ist?
Die menschliche Verwundbarkeit stellt eine unerhörte Macht dar im persönlichen und politischen, sozialen und ökonomischen, kulturellen und religiösen Leben. Wie menschliche Gemeinschaften mit dieser Vulnerabilität umgehen, ist gesellschaftlich relevant und zugleich prekär. Denn Vulnerabilität fordert zum Handeln auf. Sie setzt destruktive und kreative Kräfte frei.
Die DFG-Forschungsstudie „Schöpfung durch Verlust Band II“ liefert einen theologischen Beitrag zur interdisziplinären Vulnerabilitätsforschung. Sie führt die nach Michel de Certeau (1925–1986) benannte Methodik der Heterologie weiter und befragt die Gründungsnarrative des Christentums nach ihrem vulnerabilitätstheoretischen Gehalt. Wo tritt das Agency-Potential der Vulnerabilität zutage? Welche Alternative eröffnet sich zu jener gefährlichen Vulneranz, die das Vulnerabilitätsdispositiv persönlich und gesellschaftlich birgt?
Hintergrund: Geflüchtete haben ein hohes Risiko, Multiresistente Erreger (MRE) zu tragen. Infektionen mit MRE (Multiresistente Gram-negative Bakterien [MRGN] und Methicillin-resistenter Staphylococcus aureus [MRSA]) sind mit einer erhöhten Mortalität, Krankenhausaufenthaltsdauer und Krankenhauskosten assoziiert. Der Einfluss von prädisponierenden Faktoren für eine Besiedlung mit MRE ist für Geflüchtete noch unzureichend erforscht. Kenntnisse über prädisponierende Faktoren können helfen, Infektionsschutzmaßnahmen für Geflüchtete in Krankenhäusern anzupassen.
Methodik: Von November 2015 bis April 2016 wurden 134 Geflüchtete am Universitätsklinikum Würzburg auf MRE im Nasen-/Rachen- (MRSA), Rektal- (MDRGN-Enterobacteriaceae, MDRGN-Pseudomonas aeruginosa) und Haut-/Rachenabstrich (MDRGN-Acinetobacter baumannii) gescreent.
Ergebnisse: 62,7% von 134 gescreenten Flüchtlingen waren männlichen Geschlechts und das Durchschnittsalter lag bei 19 Jahren [IQR: 7–31]. 23,9% (n=32) zeigten einen positiven MRE-Befund (MRSA: 3,4 % von 118, 2MDRGN-Neopäd: 19,3 % von 57, 3MDRGN: 13,6 % von 125, 4MDRGN: 0 % von 125). Es wurden 25 Escherichia coli (98,3%), 3 Klebsiella pneumoniae (10,7%) und keine positiven Befunde auf Pseudomonas aeruginosa oder Acinetobacter baumannii gefunden. 3 Geflüchtete (9,6%) zeigten eine Mehrfachbesiedlung und 2 Geflüchtete (6,2%) wiesen eine durch MRE bedingte Infektionserkrankung auf (submandibulärer Abszess, Pyelonephritis). Bei 94 Geflüchteten mit vollständigem Screening waren Geflüchtete mit positivem MRE-Befund im Vergleich zu Geflüchteten mit negativem MRE-Befund jüngeren Alters (Medianalter: 8 Jahre [IQR: 3–36] vs. 24 Jahre [IQR: 14–33]) und vermehrt weiblichen Geschlechts (61,1%). Geflüchtete mit positivem MRE-Befund wiesen zudem im Vergleich vermehrt prädisponierende Faktoren auf, bspw. einen vorherigen Krankenhausaufenthalt (61,1 % vs. 35,5%), chronische Pflegebedürftigkeit (16,7 % vs. 1,3 %) oder eine Fluchtanamnese ≤ 3 Monate (80,0 % vs. 29,4 %).
Schlussfolgerung: Prädisponierende Faktoren spielen eine große Rolle für eine Besiedlung mit MRE. Prospektive Studien sollten folgen, um prädisponierende Faktoren für eine Besiedlung mit MRE bei Geflüchteten besser charakterisieren zu können.
A single, specific, sensitive biochemical biomarker that can reliably diagnose a traumatic brain injury (TBI) has not yet been found, but combining different biomarkers would be the most promising approach in clinical and postmortem settings. In addition, identifying new biomarkers and developing laboratory tests can be time-consuming and economically challenging. As such, it would be efficient to use established clinical diagnostic assays for postmortem biochemistry. In this study, postmortem cerebrospinal fluid samples from 45 lethal TBI cases and 47 controls were analyzed using commercially available blood-validated assays for creatine kinase (CK) activity and its heart-type isoenzyme (CK–MB). TBI cases with a survival time of up to two hours showed an increase in both CK and CK–MB with moderate (CK–MB: AUC = 0.788, p < 0.001) to high (CK: AUC = 0.811, p < 0.001) diagnostic accuracy. This reflected the excessive increase of the brain-type CK isoenzyme (CK–BB) following a TBI. The results provide evidence that CK immunoassays can be used as an adjunct quantitative test aid in diagnosing acute TBI-related fatalities.
Second hit hypothesis in dystonia: Dysfunctional cross talk between neuroplasticity and environment?
(2021)
One of the great mysteries in dystonia pathophysiology is the role of environmental factors in disease onset and development. Progress has been made in defining the genetic components of dystonic syndromes, still the mechanisms behind the discrepant relationship between dystonic genotype and phenotype remain largely unclear. Within this review, the preclinical and clinical evidence for environmental stressors as disease modifiers in dystonia pathogenesis are summarized and critically evaluated. The potential role of extragenetic factors is discussed in monogenic as well as adult-onset isolated dystonia. The available clinical evidence for a "second hit" is analyzed in light of the reduced penetrance of monogenic dystonic syndromes and put into context with evidence from animal and cellular models. The contradictory studies on adult-onset dystonia are discussed in detail and backed up by evidence from animal models. Taken together, there is clear evidence of a gene-environment interaction in dystonia, which should be considered in the continued quest to unravel dystonia pathophysiology.
Diabetic polyneuropathy (DPN) is the most common complication in diabetes and can be painful in up to 26% of all diabetic patients. Peripheral nerves are shielded by the blood-nerve barrier (BNB) consisting of the perineurium and endoneurial vessels. So far, there are conflicting results regarding the role and function of the BNB in the pathophysiology of DPN. In this study, we analyzed the spatiotemporal tight junction protein profile, barrier permeability, and vessel-associated macrophages in Wistar rats with streptozotocin-induced DPN. In these rats, mechanical hypersensitivity developed after 2 weeks and loss of motor function after 8 weeks, while the BNB and the blood-DRG barrier were leakier for small, but not for large molecules after 8 weeks only. The blood-spinal cord barrier remained sealed throughout the observation period. No gross changes in tight junction protein or cytokine expression were observed in all barriers to blood. However, expression of Cldn1 mRNA in perineurium was specifically downregulated in conjunction with weaker vessel-associated macrophage shielding of the BNB. Our results underline the role of specific tight junction proteins and BNB breakdown in DPN maintenance and differentiate DPN from traumatic nerve injury. Targeting claudins and sealing the BNB could stabilize pain and prevent further nerve damage.
Organoboron compounds are important building blocks in organic synthesis, materials science, and drug discovery. The development of practical and convenient ways to synthesize boronate esters attracted significant interest. Photoinduced borylations originated with stoichiometric reactions of arenes and alkanes with well-defined metal-boryl complexes. Now photoredox-initiated borylations, catalyzed either by transition-metal or organic photocatalysts, and photochemical borylations with high efficiency have become a burgeoning area of research. In this chapter, we summarize research in the field of photocatalytic C-X borylation, especially emphasizing recent developments and trends, based on transition-metal catalysis, metal-free organocatalysis and direct photochemical activation. We focus on reaction mechanisms involving single electron transfer (SET), triplet energy transfer (TET), and other radical processes.
We developed a highly selective photocatalytic C-F borylation method that employs a rhodium biphenyl complex as a triplet sensitizer and the nickel catalyst [Ni(IMes)2] (IMes = 1,3-dimesitylimidazolin-2-ylidene) for the C-F bond activation and defluoroborylation process. This tandem catalyst system operates with visible (400 nm) light and achieves borylation of a wide range of fluoroarenes with B2pin2 at room temperature in excellent yields and with high selectivity. Direct irradiation of the intermediary C-F bond oxidative addition product trans-[NiF(ArF)(IMes)2] leads to fast decomposition when B2pin2 is present. This destructive pathway can be bypassed by indirect excitation of the triplet states of the nickel(II) complex via the photoexcited rhodium biphenyl complex. Mechanistic studies suggest that the exceptionally long-lived triplet excited state of the Rh biphenyl complex used as the photosensitizer allows for efficient triplet energy transfer to trans-[NiF(ArF)(IMes)2], which leads to dissociation of one of the NHC ligands. This contrasts with the majority of current photocatalytic transformations, which employ transition metals as excited state single electron transfer agents. We have previously reported that C(arene)-F bond activation with [Ni(IMes)2] is facile at room temperature, but that the transmetalation step with B2pin2 is associated with a high energy barrier. Thus, this triplet energy transfer ultimately leads to a greatly enhanced rate constant for the transmetalation step and thus for the whole borylation process. While addition of a fluoride source such as CsF enhances the yield, it is not absolutely required. We attribute this yield-enhancing effect to (i) formation of an anionic adduct of B2pin2, i.e. FB2pin2-, as an efficient, much more nucleophilic {Bpin-} transfer reagent for the borylation/transmetalation process, and/or (ii) trapping of the Lewis acidic side product FBpin by formation of [F2Bpin]- to avoid the formation of a significant amount of NHC-FBpin and consequently of decomposition of {Ni(NHC)2} species in the reaction mixture.
We reported a highly selective and general photo-induced C-Cl borylation protocol that employs [Ni(IMes)2] (IMes = 1,3-dimesitylimidazoline-2-ylidene) for the radical borylation of chloroarenes. This photo-induced system operates with visible light (400 nm) and achieves borylation of a wide range of chloroarenes with B2pin2 at room temperature in excellent yields and with high selectivity, thereby demonstrating its broad utility and functional group tolerance. Mechanistic investigations suggest that the borylation reactions proceed via a radical process. EPR studies demonstrate that [Ni(IMes)2] undergoes very fast chlorine atom abstraction from aryl chlorides to give [NiI(IMes)2Cl] and aryl radicals. Control experiments indicate that light promotes the reaction of [NiI(IMes)2Cl] with aryl chlorides generating additional aryl radicals and [NiII(IMes)2Cl2]. The aryl radicals react with an anionic sp2-sp3 diborane [B2pin2(OMe)]- formed from B2pin2 and KOMe to yield the corresponding borylation product and the [Bpin(OMe)]•- radical anion, which reduces [NiII(IMes)2Cl2] under irradiation to regenerate [NiI(IMes)2Cl] and [Ni(IMes)2] for the next catalytic cycle.
A highly efficient and general protocol for traceless, directed C3-selective C-H borylation of indoles with [Ni(IMes)2] as the catalyst was achieved. Activation and borylation of N-H bonds by [Ni(IMes)2] is essential to install a Bpin moiety at the N-position as a traceless directing group, which enables the C3-selective borylation of C-H bonds. The N-Bpin group which is formed is easily converted in situ back to an N-H group by the oxidiative addition product of [Ni(IMes)2] and in situ-generated HBpin. The catalytic reactions are operationally simple, allowing borylation of of a variety of substituted indoles with B2pin2 in excellent yields and with high selectivity. The C-H borylation can be followed by Suzuki-Miyaura cross-coupling of the C-borylated indoles in an overall two-step, one-pot process providing an efficient method for synthesizing C3-functionalized heteroarenes.
Herpesviruses have mastered host cell modulation and immune evasion to augment productive infection, life-long latency and reactivation thereof 1,2. A long appreciated, yet elusively defined relationship exists between the lytic-latent switch and viral non-coding RNAs 3,4. Here, we identify miRNA-mediated inhibition of miRNA processing as a novel cellular mechanism that human herpesvirus 6A (HHV-6A) exploits to disrupt mitochondrial architecture, evade intrinsic host defense and drive the latent-lytic switch. We demonstrate that virus-encoded miR-aU14 selectively inhibits the processing of multiple miR-30 family members by direct interaction with the respective pri-miRNA hairpin loops. Subsequent loss of miR-30 and activation of miR-30/p53/Drp1 axis triggers a profound disruption of mitochondrial architecture, which impairs induction of type I interferons and is necessary for both productive infection and virus reactivation. Ectopic expression of miR-aU14 was sufficient to trigger virus reactivation from latency thereby identifying it as a readily drugable master regulator of the herpesvirus latent-lytic switch. Our results show that miRNA-mediated inhibition of miRNA processing represents a generalized cellular mechanism that can be exploited to selectively target individual members of miRNA families. We anticipate that targeting miR-aU14 provides exciting therapeutic options for preventing herpesvirus reactivations in HHV-6-associated disorders like myalgic encephalitis/chronic fatigue syndrome (ME/CFS) and Long-COVID.
Hematopoietic cell transplantation (HCT) is a curative therapy for the treatment of malignant and non-malignant bone marrow diseases. The major complication of this treatment is a highly inflammatory reaction called Graft-versus-Host Disease (GvHD). Here, transplanted donor T cells cause massive tissue destruction and inflammation in the main target organs liver, skin and the intestine. Currently, this inflammatory reaction can be treated successfully using strong immunosuppressive agents. One efficient group of immunosuppressants are calcineurin inhibitors such as Cyclosporin A (CsA) and Tacrolimus (FK506). These treatment strategies target all T lymphocytes subsets equally and do not separate GvH from the desirable Graft-versus-Leukemia (GvL) effect. Therefore, we aimed to find immunological targets on alloreactive T cells in order to develop novel treatment strategies, which selectively modulates alloreactive T cells without impairing the GvL effect or hematopoietic immune reconstitution.
The aim of this thesis was to develop a predictive marker panel to track alloreactive T cells in the peripheral blood (PB) of murine allo-HCT recipients. In clinically relevant model of aGvHD we demonstrated that alloreactive T cells have a distinct surface marker expression profile and can be detected in the PB before aGvHD manifestation. Based on our data, we propose a combinatory panel consisting of 4 surface markers (a4b7 integrin, CD162E, CD162P und CD62L) on circulating CD8+ T cells to identify the risk of aGvHD after allo-HCT.
Since tumor necrosis factor receptor superfamily (TNFR SF) members are involved in several immunological processes, we did extensive surface marker expression analysis of several TNFR superfamily members and other immunomodulatory molecules on conventional and regulatory T cells (Tcons vs. Tregs) on different time points during aGvHD progression. The aim of this study was to find subset-specific immunomodulatory molecules on recently activated Tcons and Tregs. We found that GITR, 4-1BB and CD27 were highly expressed on alloreactive and naïve Tregs. In contrast, PD1 expression was highly upregulated on recently activated alloreactive Tcons. The data of this study serves as basis for future approaches, which aim to develop T cell subset specific therapeutic antibody fusion proteins.
a4b7 integrin and CD162P (P-Selectin ligand) are highly upregulated on alloreactive T cells and mediate the infiltration of these cells into GvHD target organs. We developed recombinant (antibody) fusion proteins to target these two homing molecules and could show that antibody-based fusion proteins are superior to ligand-based fusion proteins regarding production efficiency and binding affinity. Therefore, we propose for future studies to focus on the described antibody-based fusion proteins for the selective targeting of T cells.
Since the widely used calcineurin inhibitors are impairing the desirable GvL effect, we investigated if selective NFATc1 inhibition might be a novel strategy to prevent or reduce alloreactivity, while hopefully maintaining the GvL effect. In particular, we addressed the role of the isoform NFATc1 and inhibited its posttranslational modification by SUMO (Small Ubiquitin-related Modifier). Indeed, inhibition of NFATc1 SUMOylation resulted in reduced inflammation and increased Treg frequencies in a murine MHC major mismatch aGvHD model.
Conclusively, we showed that alloreactive T cells can be identified by their surface profile in the PB of allo-HCT recipients before aGvHD symptoms appeared. Furthermore, we introduced a approach to selectively target alloreactive T cells by antibody fusion proteins, which might serve as a novel strategy to separate GvH from GvL. Additionally, we demonstrated that averted posttranslational modification of NFATc1 by SUMOylation serves as potential target to reduce alloreactivity of T cells.
Purpose
To fully automatically derive quantitative parameters from late gadolinium enhancement (LGE) cardiac MR (CMR) in patients with myocardial infarction and to investigate if phase sensitive or magnitude reconstructions or a combination of both results in best segmentation accuracy.
Methods
In this retrospective single center study, a convolutional neural network with a U-Net architecture with a self-configuring framework (“nnU-net”) was trained for segmentation of left ventricular myocardium and infarct zone in LGE-CMR. A database of 170 examinations from 78 patients with history of myocardial infarction was assembled. Separate fitting of the model was performed, using phase sensitive inversion recovery, the magnitude reconstruction or both contrasts as input channels.
Manual labelling served as ground truth. In a subset of 10 patients, the performance of the trained models was evaluated and quantitatively compared by determination of the Sørensen-Dice similarity coefficient (DSC) and volumes of the infarct zone compared with the manual ground truth using Pearson’s r correlation and Bland-Altman analysis.
Results
The model achieved high similarity coefficients for myocardium and scar tissue. No significant difference was observed between using PSIR, magnitude reconstruction or both contrasts as input (PSIR and MAG; mean DSC: 0.83 ± 0.03 for myocardium and 0.72 ± 0.08 for scars). A strong correlation for volumes of infarct zone was observed between manual and model-based approach (r = 0.96), with a significant underestimation of the volumes obtained from the neural network.
Conclusion
The self-configuring nnU-net achieves predictions with strong agreement compared to manual segmentation, proving the potential as a promising tool to provide fully automatic quantitative evaluation of LGE-CMR.
Facial masks have become and may remain ubiquitous. Though important for preventing infection, they may also serve as a reminder of the risks of disease. Thus, they may either act as cues for threat, priming avoidance-related behavior, or as cues for a safe interaction, priming social approach. To distinguish between these possibilities, we assessed implicit and explicit evaluations of masked individuals as well as avoidance bias toward relatively unsafe interactions with unmasked individuals in an approach-avoidance task in an online study. We further assessed Covid19 anxiety and specific attitudes toward mask-wearing, including mask effectiveness and desirability, hindrance of communication from masks, aesthetic appeal of masks, and mask-related worrying. Across one sample of younger (18–35 years, N = 147) and one of older adults (60+ years, N = 150), we found neither an average approach nor avoidance bias toward mask-wearing compared to unmasked individuals in the indirect behavior measurement task. However, across the combined sample, self-reported mask-related worrying correlated with reduced avoidance tendencies toward unmasked individuals when Covid19 anxiety was low, but not when it was high. This relationship was specific to avoidance tendencies and was not observed in respect to explicit or implicit preference for mask-wearing individuals. We conclude that unsafe interaction styles may be reduced by targeting mask-related worrying with public interventions, in particular for populations that otherwise have low generalized Covid19 anxiety.
Descriptors play an important role in point cloud registration. The current state-of-the-art resorts to the high regression capability of deep learning. However, recent deep learning-based descriptors require different levels of annotation and selection of patches, which make the model hard to migrate to new scenarios. In this work, we learn local registration descriptors for point clouds
in a self-supervised manner. In each iteration of the training, the input of the network is merely one unlabeled point cloud. Thus, the whole training requires no manual annotation and manual selection of patches. In addition, we propose to involve keypoint sampling into the pipeline, which further improves the performance of our model. Our experiments demonstrate the capability of our self-supervised local descriptor to achieve even better performance than the supervised model, while being easier to train and requiring no data labeling.
Two dipolar merocyanines consisting of the same π‐conjugated chromophore but different alkyl substituents adopt very different packing arrangements in their respective solid state with either H‐ or J‐type exciton coupling, leading to ultranarrow absorption bands at 477 and 750 nm, respectively, due to exchange narrowing. The social self‐sorting behavior of these push‐pull chromophores in their mixed thin films is evaluated and the impact on morphology as well as opto‐electronical properties is determined. The implementation of this well‐tuned two‐component material with tailored optical features allows to optimize planar heterojunction organic photodiodes with fullerene (C\(_{60}\)) with either dual or single wavelength selectivity in the blue and NIR spectral range with ultranarrow bandwidths of only 11 nm (200 cm\(^{-1}\)) and an external quantum efficiency of up to 18% at 754 nm under 0 V bias. The application of these photodiodes as low‐power consuming heart rate monitors is demonstrated by a reflectance‐mode photoplethysmography (PPG) sensor.
Progressive deterioration of the central nervous system (CNS) is commonly associated with aging. An important component of the neurovasculature is the blood-brain barrier (BBB), majorly made up of endothelial cells joined together by intercellular junctions. The relationship between senescence and changes in the BBB has not yet been thoroughly explored. Moreover, the lack of in vitro models for the study of the mechanisms involved in those changes impede further and more in-depth investigations in the field. For this reason, we herein present an in vitro model of the senescent BBB and an initial attempt to identify senescence-associated alterations within.
Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
(2021)
Background
Image segmentation is a common task in medical imaging e.g., for volumetry analysis in cardiac MRI. Artificial neural networks are used to automate this task with performance similar to manual operators. However, this performance is only achieved in the narrow tasks networks are trained on. Performance drops dramatically when data characteristics differ from the training set properties. Moreover, neural networks are commonly considered black boxes, because it is hard to understand how they make decisions and why they fail. Therefore, it is also hard to predict whether they will generalize and work well with new data. Here we present a generic method for segmentation model interpretation. Sensitivity analysis is an approach where model input is modified in a controlled manner and the effect of these modifications on the model output is evaluated. This method yields insights into the sensitivity of the model to these alterations and therefore to the importance of certain features on segmentation performance.
Results
We present an open-source Python library (misas), that facilitates the use of sensitivity analysis with arbitrary data and models. We show that this method is a suitable approach to answer practical questions regarding use and functionality of segmentation models. We demonstrate this in two case studies on cardiac magnetic resonance imaging. The first case study explores the suitability of a published network for use on a public dataset the network has not been trained on. The second case study demonstrates how sensitivity analysis can be used to evaluate the robustness of a newly trained model.
Conclusions
Sensitivity analysis is a useful tool for deep learning developers as well as users such as clinicians. It extends their toolbox, enabling and improving interpretability of segmentation models. Enhancing our understanding of neural networks through sensitivity analysis also assists in decision making. Although demonstrated only on cardiac magnetic resonance images this approach and software are much more broadly applicable.
Perinatal inflammatory stress is strongly associated with adverse pulmonary outcomes after preterm birth. Antenatal infections are an essential perinatal stress factor and contribute to preterm delivery, induction of lung inflammation and injury, pre-disposing preterm infants to bronchopulmonary dysplasia. Considering the polymicrobial nature of antenatal infection, which was reported to result in diverse effects and outcomes in preterm lungs, the aim was to examine the consequences of sequential inflammatory stimuli on endogenous epithelial stem/progenitor cells and vascular maturation, which are crucial drivers of lung development. Therefore, a translational ovine model of antenatal infection/inflammation with consecutive exposures to chronic and acute stimuli was used. Ovine fetuses were exposed intra-amniotically to Ureaplasma parvum 42 days (chronic stimulus) and/or to lipopolysaccharide 2 or 7 days (acute stimulus) prior to preterm delivery at 125 days of gestation. Pulmonary inflammation, endogenous epithelial stem cell populations, vascular modulators and morphology were investigated in preterm lungs. Pre-exposure to UP attenuated neutrophil infiltration in 7d LPS-exposed lungs and prevented reduction of SOX-9 expression and increased SP-B expression, which could indicate protective responses induced by re-exposure. Sequential exposures did not markedly impact stem/progenitors of the proximal airways (P63+ basal cells) compared to single exposure to LPS. In contrast, the alveolar size was increased solely in the UP+7d LPS group. In line, the most pronounced reduction of AEC2 and proliferating cells (Ki67+) was detected in these sequentially UP + 7d LPS-exposed lambs. A similar sensitization effect of UP pre-exposure was reflected by the vessel density and expression of vascular markers VEGFR-2 and Ang-1 that were significantly reduced after UP exposure prior to 2d LPS, when compared to UP and LPS exposure alone. Strikingly, while morphological changes of alveoli and vessels were seen after sequential microbial exposure, improved lung function was observed in UP, 7d LPS, and UP+7d LPS-exposed lambs. In conclusion, although sequential exposures did not markedly further impact epithelial stem/progenitor cell populations, re-exposure to an inflammatory stimulus resulted in disturbed alveolarization and abnormal pulmonary vascular development. Whether these negative effects on lung development can be rescued by the potentially protective responses observed, should be examined at later time points.
Sequential optimality conditions for cardinality-constrained optimization problems with applications
(2021)
Recently, a new approach to tackle cardinality-constrained optimization problems based on a continuous reformulation of the problem was proposed. Following this approach, we derive a problem-tailored sequential optimality condition, which is satisfied at every local minimizer without requiring any constraint qualification. We relate this condition to an existing M-type stationary concept by introducing a weak sequential constraint qualification based on a cone-continuity property. Finally, we present two algorithmic applications: We improve existing results for a known regularization method by proving that it generates limit points satisfying the aforementioned optimality conditions even if the subproblems are only solved inexactly. And we show that, under a suitable Kurdyka–Łojasiewicz-type assumption, any limit point of a standard (safeguarded) multiplier penalty method applied directly to the reformulated problem also satisfies the optimality condition. These results are stronger than corresponding ones known for the related class of mathematical programs with complementarity constraints.
Serotonin deficiency induced after brain maturation rescues consequences of early life adversity
(2021)
Brain serotonin (5-HT) system dysfunction is implicated in depressive disorders and acute depletion of 5-HT precursor tryptophan has frequently been used to model the influence of 5-HT deficiency on emotion regulation. Tamoxifen (TAM)-induced Cre/loxP-mediated inactivation of the tryptophan hydroxylase-2 gene (Tph2) was used to investigate the effects of provoked 5-HT deficiency in adult mice (Tph2 icKO) previously subjected to maternal separation (MS). The efficiency of Tph2 inactivation was validated by immunohistochemistry and HPLC. The impact of Tph2 icKO in interaction with MS stress (Tph2 icKOxMS) on physiological parameters, emotional behavior and expression of 5-HT system-related marker genes were assessed. Tph2 icKO mice displayed a significant reduction in 5-HT immunoreactive cells and 5-HT concentrations in the rostral raphe region within four weeks following TAM treatment. Tph2 icKO and MS differentially affected food and water intake, locomotor activity as well as panic-like escape behavior. Tph2 icKO prevented the adverse effects of MS stress and altered the expression of the genes previously linked to stress and emotionality. In conclusion, an experimental model was established to study the behavioral and neurobiological consequences of 5-HT deficiency in adulthood in interaction with early-life adversity potentially affecting brain development and the pathogenesis of depressive disorders.
Antidepressants are used to treat several psychiatric disorders; however, a large proportion of patients do not respond to their first antidepressant therapy and often experience adverse drug reactions (ADR). A common insertion–deletion polymorphism in the promoter region (5-HTTLPR) of the serotonin transporter (SLC6A4) gene has been frequently investigated for its association with antidepressant outcomes. Here, we performed a systematic review and meta-analysis to assess 5-HTTLPR associations with antidepressants: (1) response in psychiatric disorders other than major depressive disorder (MDD) and (2) tolerability across all psychiatric disorders. Literature searches were performed up to January 2021, yielding 82 studies that met inclusion criteria, and 16 of these studies were included in the meta-analyses. Carriers of the 5-HTTLPR LL or LS genotypes were more likely to respond to antidepressant therapy, compared to the SS carriers in the total and European ancestry-only study populations. Long (L) allele carriers taking selective serotonin reuptake inhibitors (SSRIs) reported fewer ADRs relative to short/short (SS) carriers. European L carriers taking SSRIs had lower ADR rates than S carriers. These results suggest the 5-HTTLPR polymorphism may serve as a marker for antidepressant outcomes in psychiatric disorders and may be particularly relevant to SSRI treatment among individuals of European descent.
Human induced pluripotent stem cells (hiPSCs) have revolutionized the generation of experimental disease models, but the development of protocols for the differentiation of functionally active neuronal subtypes with defined specification is still in its infancy. While dysfunction of the brain serotonin (5-HT) system has been implicated in the etiology of various neuropsychiatric disorders, investigation of functional human 5-HT specific neurons in vitro has been restricted by technical limitations. We describe an efficient generation of functionally active neurons from hiPSCs displaying 5-HT specification by modification of a previously reported protocol. Furthermore, 5-HT specific neurons were characterized using high-end fluorescence imaging including super-resolution microscopy in combination with electrophysiological techniques. Differentiated hiPSCs synthesize 5-HT, express specific markers, such as tryptophan hydroxylase 2 and 5-HT transporter, and exhibit an electrophysiological signature characteristic of serotonergic neurons, with spontaneous rhythmic activities, broad action potentials and large afterhyperpolarization potentials. 5-HT specific neurons form synapses reflected by the expression of pre- and postsynaptic proteins, such as Bassoon and Homer. The distribution pattern of Bassoon, a marker of the active zone along the soma and extensions of neurons, indicates functionality via volume transmission. Among the high percentage of 5-HT specific neurons (~ 42%), a subpopulation of CDH13 + cells presumably designates dorsal raphe neurons. hiPSC-derived 5-HT specific neuronal cell cultures reflect the heterogeneous nature of dorsal and median raphe nuclei and may facilitate examining the association of serotonergic neuron subpopulations with neuropsychiatric disorders.
Naturally occurring compounds such as sesquiterpenes and sesquiterpenoids (SQTs) have been shown to modulate GABA\(_{A}\) receptors (GABA\(_{A}\)Rs). In this study, the modulatory potential of 11 SQTs at GABA\(_{A}\)Rs was analyzed to characterize their potential neurotropic activity. Transfected HEK293 cells and primary hippocampal neurons were functionally investigated using electrophysiological whole-cell recordings. Significantly different effects of β-caryophyllene and α-humulene, as well as their respective derivatives β-caryolanol and humulol, were observed in the HEK293 cell system. In neurons, the concomitant presence of phasic and tonic GABA\(_{A}\)R configurations accounts for differences in receptor modulation by SQTs. The in vivo presence of the γ\(_{2}\) and δ subunits is important for SQT modulation. While phasic GABA\(_{A}\) receptors in hippocampal neurons exhibited significantly altered GABA-evoked current amplitudes in the presence of humulol and guaiol, negative allosteric potential at recombinantly expressed α\(_{1}\)β\(_{2}\)γ\(_{2}\) receptors was only verified for humolol. Modeling and docking studies provided support for the binding of SQTs to the neurosteroid-binding site of the GABA\(_{A}\)R localized between transmembrane segments 1 and 3 at the (\(^{+}\)α)-(\(^{-}\)α) interface. In sum, differences in the modulation of GABA\(_{A}\)R isoforms between SQTs were identified. Another finding is that our results provide an indication that nutritional digestion affects the neurotropic potential of natural compounds.
A deficiency in GM3-derived gangliosides, resulting from a lack of lactosylceramide-alpha-2,3-sialyltransferase (ST3GAL5), leads to severe neuropathology, including epilepsy and metabolic abnormalities. Disruption of ganglioside production by this enzyme may also have a role in the development of neuropsychiatric disorders. ST3Gal5 knock-out (St3gal5\(^{−/−}\)) mice lack a-, b-, and c-series gangliosides, but exhibit no overt neuropathology, possibly owing to the production of compensatory 0-series glycosphingolipids. Here, we sought to investigate the possibility that St3gal5\(^{−/−}\) mice might exhibit attention-deficit/hyperactivity disorder (ADHD)-like behaviours. In addition, we evaluated potential metabolic and electroencephalogram (EEG) abnormalities. St3gal5\(^{−/−}\) mice were subjected to behavioural testing, glucose tolerance tests, and the levels of expression of brain and peripheral A and B isoforms of the insulin receptor (IR) were measured. We found that St3gal5\(^{−/−}\) mice exhibit locomotor hyperactivity, impulsivity, neophobia, and anxiety-like behavior. The genotype also altered blood glucose levels and glucose tolerance. A sex bias was consistently found in relation to body mass and peripheral IR expression. Analysis of the EEG revealed an increase in amplitude in St3gal5\(^{−/−}\) mice. Together, St3gal5\(^{−/−}\) mice exhibit ADHD-like behaviours, altered metabolic and EEG measures providing a useful platform for better understanding of the contribution of brain gangliosides to ADHD and associated comorbidities.
Sex-specific and caste-specific brain adaptations related to spatial orientation in Cataglyphis ants
(2021)
Cataglyphis desert ants are charismatic central place foragers. After long-ranging foraging trips, individual workers navigate back to their nest relying mostly on visual cues. The reproductive caste faces other orientation challenges, i.e. mate finding and colony foundation. Here we compare brain structures involved in spatial orientation of Cataglyphis nodus males, gynes, and foragers by quantifying relative neuropil volumes associated with two visual pathways, and numbers and volumes of antennal lobe (AL) olfactory glomeruli. Furthermore, we determined absolute numbers of synaptic complexes in visual and olfactory regions of the mushroom bodies (MB) and a major relay station of the sky-compass pathway to the central complex (CX). Both female castes possess enlarged brain centers for sensory integration, learning, and memory, reflected in voluminous MBs containing about twice the numbers of synaptic complexes compared with males. Overall, male brains are smaller compared with both female castes, but the relative volumes of the optic lobes and CX are enlarged indicating the importance of visual guidance during innate behaviors. Male ALs contain greatly enlarged glomeruli, presumably involved in sex-pheromone detection. Adaptations at both the neuropil and synaptic levels clearly reflect differences in sex-specific and caste-specific demands for sensory processing and behavioral plasticity underlying spatial orientation.
Aims
Various studies have reported that young European women are more likely to develop early‐onset periodontitis compared to men. A potential explanation for the observed variations in sex and age of disease onset is the natural genetic variation within the autosomal genomes. We hypothesized that genotype‐by‐sex (G × S) interactions contribute to the increased prevalence and severity.
Materials and methods
Using the case‐only design, we tested for differences in genetic effects between men and women in 896 North‐West European early‐onset cases, using imputed genotypes from the OmniExpress genotyping array. Population‐representative 6823 controls were used to verify that the interacting variables G and S were uncorrelated in the general population.
Results
In total, 20 loci indicated G × S associations (P < 0.0005), 3 of which were previously suggested as risk genes for periodontitis (ABLIM2, CDH13, and NELL1). We also found independent G × S interactions of the related gene paralogs MACROD1/FLRT1 (chr11) and MACROD2/FLRT3 (chr20). G × S‐associated SNPs at CPEB4, CDH13, MACROD1, and MECOM were genome‐wide‐associated with heel bone mineral density (CPEB4, MECOM), waist‐to‐hip ratio (CPEB4, MACROD1), and blood pressure (CPEB4, CDH13).
Conclusions
Our results indicate that natural genetic variation affects the different heritability of periodontitis among sexes and suggest genes that contribute to inter‐sex phenotypic variation in early‐onset periodontitis.
Sicherheit und Effektivität von Amisulprid zur Therapie von Übelkeit und Erbrechen nach Narkosen
(2021)
PONV stellt mit einer Inzidenz von circa 30 % ein relevantes Problem in der postoperativen Phase dar. Amisulprid ist ein atypisches Neuroleptikum, das zur Behandlung der Schizophrenie verwendet wird und gehört zur Gruppe der D2-Rezeptor-Antagonisten. Hierüber wirkt Amisulprid antiemetisch.
Ziel der Studie war, die Sicherheit und Effektivität einer intravenösen Einmalgabe von Amisulprid in den Dosierungen 5 mg und 10 mg zur Therapie von PONV, nach Versagen einer PONV-Prophylaxe, untereinander und gegenüber einem Placebo zu vergleichen. Es handelte sich hierbei um eine multizentrische, randomisierte, doppelblinde Phase-III-Studie.
Amisulprid zeigte ein benignes Nebenwirkungsprofil. Amisulprid zeigte in der Dosierung 10 mg eine statistisch signifikante Überlegenheit gegenüber Placebo sowohl zur Therapie von PONV, als auch im Auftreten signifikanter Übelkeit und im Gebrauch einer Rescue-Medikation.
Eine weitere interessante Fragestellung wäre der Vergleich der Sicherheit und Effektivität von Amisulprid mit einem weiteren Antiemetikum.
Im Zeitraum von 2004 bis 2016 erhielten an der Neurologischen Universitätsklinik Würzburg Patienten mit einer chronisch progredienten Multiplen Sklerose insgesamt 595 Injektionen von intrathekalem Triamcinolonacetonid. Diese Arbeit befasst sich mit Sicherheit, Nebenwirkungen und Wirksamkeit der intrathekalen Therapieform.
Murine infection models are widely used to study systemic candidiasis caused by C. albicans. Whole-blood models can help to elucidate host-pathogens interactions and have been used for several Candida species in human blood. We adapted the human whole-blood model to murine blood. Unlike human blood, murine blood was unable to reduce fungal burden and more substantial filamentation of C. albicans was observed. This coincided with less fungal association with leukocytes, especially neutrophils. The lower neutrophil number in murine blood only partially explains insufficient infection and filamentation control, as spiking with murine neutrophils had only limited effects on fungal killing. Furthermore, increased fungal survival is not mediated by enhanced filamentation, as a filament-deficient mutant was likewise not eliminated. We also observed host-dependent differences for interaction of platelets with C. albicans, showing enhanced platelet aggregation, adhesion and activation in murine blood. For human blood, opsonization was shown to decrease platelet interaction suggesting that complement factors interfere with fungus-to-platelet binding. Our results reveal substantial differences between murine and human whole-blood models infected with C. albicans and thereby demonstrate limitations in the translatability of this ex vivo model between hosts.
Industrially used semiconducting materials, building blocks of modern electronics and computer industry, are mostly based on inorganic, crystalline solids, which have the drawback of relatively high production costs. As an alternative, organic pi-conjugated systems show enhanced flexibility and processability as well as the opportunity to obtain light-weight materials. They have emerged as attractive candidates, especially since elements beyond hydrogen and carbon can be used to create pi-conjugated frameworks. In recent years, pi-conjugated oligomers and polymers with tricoordinate boron centers incorporated into the main chain of such organic polymers have attracted considerable attention as the interaction of the vacant p orbital on boron with an adjacent pi system of the chain leads to extended conjugated materials. These materials show intriguing optical and electronic properties and potential applications in organic electronics and optoelectronics (OLEDs, OFETs, photovoltaics) or as sensory materials.
In this thesis, a catalytic Si/B exchange reaction protocol is used as a facile and highly effective B-C bond formation method to synthesize organoboron molecules, oligomers, polymers and macrocycles. This reaction is applied to synthesize a series of thienyl- and furylborane based materials. Special focus is on furylborane based materials, which, in general, have been only scarcely explored so far. This is mainly due to synthetic challenges since furan decomposes readily in the presence of light and oxygen. Our mild and highly selective reaction protocol in combination with sufficient kinetic protection of the boron centers gives access to a series of extended organoboranes featuring furylborane units in the main chain. Furthermore, kinetically stabilized furylboranes are established as highly robust and versatile building blocks for pi conjugated materials. The obtained materials reveal remarkable luminescence properties. The scope of potential starting materials was investigated by a catalyst screening, demonstrating that the Si/B exchange reaction can also be performed for less reactive aryldichloroboranes. Furthermore, borazine-based hybrid cyclomatrix microspheres have been synthesized via a Si/B exchange condensation reaction under precipitation polymerization conditions. Finally, synthetic routes to tetrabora- and diboraporphyrinogens were attempted in a multi-step reaction procedure. In the case for tetraboraporphyrinogens, the final macrocyclization reaction under pseudo high-dilution conditions afforded a mixture of macrocycles with different ring sizes. UV-vis and fluorescence spectroscopic analysis indicated significant differences in comparison to their linear congeners.
Enhancing digital and precision agriculture is currently inevitable to overcome the economic and environmental challenges of the agriculture in the 21st century. The purpose of this study was to generate and compare management zones (MZ) based on the Sentinel-2 satellite data for variable rate application of mineral nitrogen in wheat production, calculated using different remote sensing (RS)-based models under varied soil, yield and crop data availability. Three models were applied, including (1) a modified “RS- and threshold-based clustering”, (2) a “hybrid-based, unsupervised clustering”, in which data from different sources were combined for MZ delineation, and (3) a “RS-based, unsupervised clustering”. Various data processing methods including machine learning were used in the model development. Statistical tests such as the Paired Sample T-test, Kruskal–Wallis H-test and Wilcoxon signed-rank test were applied to evaluate the final delineated MZ maps. Additionally, a procedure for improving models based on information about phenological phases and the occurrence of agricultural drought was implemented. The results showed that information on agronomy and climate enables improving and optimizing MZ delineation. The integration of prior knowledge on new climate conditions (drought) in image selection was tested for effective use of the models. Lack of this information led to the infeasibility of obtaining optimal results. Models that solely rely on remote sensing information are comparatively less expensive than hybrid models. Additionally, remote sensing-based models enable delineating MZ for fertilizer recommendations that are temporally closer to fertilization times.
Tensor tomography is fundamentally based on the assumption of a both anisotropic and linear contrast mechanism. While the X-ray or neutron dark-field contrast obtained with Talbot(-Lau) interferometers features the required anisotropy, a preceding detailed study of dark-field signal origination however found its specific orientation dependence to be a non-linear function of the underlying anisotropic mass distribution and its orientation, especially challenging the common assumption that dark-field signals are describable by a function over the unit sphere. Here, two approximative linear tensor models with reduced orientation dependence are investigated in a simulation study with regard to their applicability to grating based X-ray or neutron dark-field tensor tomography. By systematically simulating and reconstructing a large sample of isolated volume elements covering the full range of feasible anisotropies and orientations, direct correspondences are drawn between the respective tensors characterizing the physically based dark-field model used for signal synthesization and the mathematically motivated simplified models used for reconstruction. The anisotropy of freely rotating volume elements is thereby confirmed to be, for practical reconstruction purposes, approximable both as a function of the optical axis' orientation or as a function of the interferometer's grating orientation. The eigenvalues of the surrogate models' tensors are found to exhibit fuzzy, yet almost linear relations to those of the synthesization model. Dominant orientations are found to be recoverable with a margin of error on the order of magnitude of 1 degrees. Although the input data must adequately address the full orientation dependence of dark-field anisotropy, the present results clearly support the general feasibility of quantitative X-ray dark-field tensor tomography within an inherent yet acceptable statistical margin of uncertainty.
Simultaneous measurements of 3D wall shear stress and pulse wave velocity in the murine aortic arch
(2021)
Purpose
Wall shear stress (WSS) and pulse wave velocity (PWV) are important parameters to characterize blood flow in the vessel wall. Their quantification with flow-sensitive phase-contrast (PC) cardiovascular magnetic resonance (CMR), however, is time-consuming. Furthermore, the measurement of WSS requires high spatial resolution, whereas high temporal resolution is necessary for PWV measurements. For these reasons, PWV and WSS are challenging to measure in one CMR session, making it difficult to directly compare these parameters. By using a retrospective approach with a flexible reconstruction framework, we here aimed to simultaneously assess both PWV and WSS in the murine aortic arch from the same 4D flow measurement.
Methods
Flow was measured in the aortic arch of 18-week-old wildtype (n = 5) and ApoE\(^{−/−}\) mice (n = 5) with a self-navigated radial 4D-PC-CMR sequence. Retrospective data analysis was used to reconstruct the same dataset either at low spatial and high temporal resolution (PWV analysis) or high spatial and low temporal resolution (WSS analysis). To assess WSS, the aortic lumen was labeled by semi-automatically segmenting the reconstruction with high spatial resolution. WSS was determined from the spatial velocity gradients at the lumen surface. For calculation of the PWV, segmentation data was interpolated along the temporal dimension. Subsequently, PWV was quantified from the through-plane flow data using the multiple-points transit-time method. Reconstructions with varying frame rates and spatial resolutions were performed to investigate the influence of spatiotemporal resolution on the PWV and WSS quantification.
Results
4D flow measurements were conducted in an acquisition time of only 35 min. Increased peak flow and peak WSS values and lower errors in PWV estimation were observed in the reconstructions with high temporal resolution. Aortic PWV was significantly increased in ApoE\(^{−/−}\) mice compared to the control group (1.7 ± 0.2 versus 2.6 ± 0.2 m/s, p < 0.001). Mean WSS magnitude values averaged over the aortic arch were (1.17 ± 0.07) N/m\(^2\) in wildtype mice and (1.27 ± 0.10) N/m\(^2\) in ApoE\(^{−/−}\) mice.
Conclusion
The post processing algorithm using the flexible reconstruction framework developed in this study permitted quantification of global PWV and 3D-WSS in a single acquisition. The possibility to assess both parameters in only 35 min will markedly improve the analyses and information content of in vivo measurements.
Coupling N identical emitters to the same field mode is a well-established method to enhance light-matter interaction. However, the resulting √N boost of the coupling strength comes at the cost of a “linearized” (effectively semiclassical) dynamics. Here, we instead demonstrate a new approach for enhancing the coupling constant of a single quantum emitter, while retaining the nonlinear character of the light-matter interaction. We consider a single quantum emitter with N nearly degenerate transitions that are collectively coupled to the same field mode. We show that in such conditions an effective Jaynes-Cummings model emerges with a boosted coupling constant of order √N. The validity and consequences of our general conclusions are analytically demonstrated for the instructive case N=2. We further observe that our system can closely match the spectral line shapes and photon autocorrelation functions typical of Jaynes-Cummings physics, proving that quantum optical nonlinearities are retained. Our findings match up very well with recent broadband plasmonic nanoresonator strong-coupling experiments and will, therefore, facilitate the control and detection of single-photon nonlinearities at ambient conditions.
We describe a system for the analysis of an important unicellular eukaryotic flagellate in a confining and crowded environment. The parasite Trypanosoma brucei is arguably one of the most versatile microswimmers known. It has unique properties as a single microswimmer and shows remarkable adaptations (not only in motility, but prominently so), to its environment during a complex developmental cycle involving two different hosts. Specific life cycle stages show fascinating collective behaviour, as millions of cells can be forced to move together in extreme confinement. Our goal is to examine such motile behaviour directly in the context of the relevant environments. Therefore, for the first time, we analyse the motility behaviour of trypanosomes directly in a widely used assay, which aims to evaluate the parasites behaviour in collectives, in response to as yet unknown parameters. In a step towards understanding whether, or what type of, swarming behaviour of trypanosomes exists, we customised the assay for quantitative tracking analysis of motile behaviour on the single-cell level. We show that the migration speed of cell groups does not directly depend on single-cell velocity and that the system remains to be simplified further, before hypotheses about collective motility can be advanced.
Wissenschaftskompetenz ist eine Schlüsselqualifikation für jede ärztliche Tätigkeit und sollte ebenso wie die Auseinandersetzung mit Entscheidungsprozessen von Beginn an ins Medizinstudium integriert werden. Ziel der Studie war, die Themen der guten wissenschaftlichen Praxis und des wissenschaftlichen Fehlverhaltens zu vermitteln. Ferner wurde durch die methodische Intervention „Gruppendiskussion“ eine Reflexion im Kontext der wissenschaftlichen Angemessenheit herbeigeführt. Hierfür wurde der Situational Judgement Test (SJT) von den Studierenden (N = 743) (individuell und in der Gruppe) bearbeitet, und dessen Resultate wurden mit den Antworten von Expert/innen/en (N = 23) verglichen. Nach der Gruppendiskussion näherten sich die Ergebnisse in der Verteilung und Reihenfolge den Antwortmöglichkeiten der Expert/innen/en an. Jedoch tendierten die Studierenden signifikant häufiger zu jenen Antworten, die hilfesuchende, passive und verantwortungsübertragende Optionen bedeuteten. Insgesamt hat sich der SJT als didaktische Intervention bewährt. Die Studierenden setzten sich aktiv mit den Themen auseinander, eine Diskussion konnte angeregt und das eigene Verhalten kritisch reflektiert werden.
The unusual occurrence and developmental diversity of asexual eukaryotes remain a puzzle. De novo formation of a functioning asexual genome requires a unique assembly of sets of genes or gene states to disrupt cellular mechanisms of meiosis and gametogenesis, and to affect discrete components of sexuality and produce clonal or hemiclonal offspring. We highlight two usually overlooked but essential conditions to understand the molecular nature of clonal organisms, that is, a nonrecombinant genomic assemblage retaining modifiers of the sexual program, and a complementation between altered reproductive components. These subtle conditions are the basis for physiologically viable and genetically balanced transitions between generations. Genomic and developmental evidence from asexual animals and plants indicates the lack of complementation of molecular changes in the sexual reproductive program is likely the main cause of asexuals' rarity, and can provide an explanatory frame for the developmental diversity and lability of developmental patterns in some asexuals as well as for the discordant time to extinction estimations.
SLC6A2-regulierende microRNAs bei Angsterkrankungen: Genexpressions- und Assoziationsuntersuchungen
(2021)
Angsterkrankungen sind häufige Krankheitsbilder mit bislang nicht vollständig geklärter multifaktorieller Ätiologie. Neben Umwelt- und psychosozialen Faktoren zeigen Studien eine signifikante familiäre Häufung und lassen eine genetische Komponente mit einer Heritabilität in einem Bereich von 30-60 % vermuten. Da hierbei am ehesten von einem komplexen Zusammenspiel verschiedenster Gene mit unterschiedlicher Relevanz auszugehen ist, stellen miRNAs eine bedeutende Größe dar, da sie es vermögen auf transkriptioneller Ebene Einfluss auf die Regulierung einer Vielzahl von Genen zu nehmen.
Verschiedene Aspekte liefern Hinweise darauf, dass eine Neurotransmitterdysregulation eine wichtige Komponente in der Pathogenese von Angsterkrankungen einnimmt – insbesondere veränderte noradrenerge Signalwege sind hierbei entscheidend beteiligt. Dies macht den Noradrenalin-Transporter bzw. SLC6A2 zu einem interessanten Kandidatengen, und stellt die Bezugsgröße der angestellten Untersuchungen in dieser Arbeit dar. miRNAs, welche die SLC6A2-Expression modulieren, können somit Einfluss auf zentrale Verarbeitungswege von Angst nehmen.
Im ersten Teil der vorliegenden Arbeit wurden potentielle miRNA-Regulatoren von SLC6A2 in silico ermittelt und in einem weiteren Schritt in vitro überprüft. Zehn der miRNAs (hsa-miR-378g, hsa-miR-330-5p, hsa-miR-4781-5p, hsa-miR664b-3p, hsa-miR-4715-3p, hsa-miR-579-3p, hsa-miR-3921, hsa-miR-3622b-5p, hsa-miR-4773, hsa-miR-532-3p) zeigten hierbei eine relevante Abnahme der Luciferase-Aktivität als Hinweis auf ihre funktionelle Relevanz und stellen damit die Basis der nachfolgenden Untersuchungen dar.
Im zweiten Teil der Arbeit wurden Einzelbasenpolymorphismen im Bereich der zuvor ermittelten miRNA-Gene sowie eines SNP innerhalb der 3’-UTR von SLC6A2 mittels Fall-Kontroll-Studie in einer Population von Patienten mit Panikstörung und entsprechenden Kontrollen untersucht. Eine nominelle Assoziation ließ sich für das (minor) T-Allel von rs2910931 (stromaufwärts von MIR579) (p-allel = 0,004) sowie das (major) A-Allel von rs2582372 (p-allel = 0,023) feststellen. In Einklang hiermit ließ sich weiterhin für rs2910931 eine signifikante Assoziation zwischen der Anzahl der (minor) T-Allele und dem ASI-Wert (β = 0,371, p = 0,029, 95 %-CI 0,039-0,702) sowie dem ACQ-Wert (β = 0,012, p = 0,041, 95 %-CI 0,000-0,023) ermitteln. Somit zeigt sich eine Einflussnahme der genetischen Variante um MIR579 auf die Feinmodulation der Noradrenalin-Homöostase als möglichem ätiopathogenetischen Faktor von Angsterkrankungen.
Small proteins, often defined as shorter than 50 amino acids, have been implicated
in fundamental cellular processes. Despite this, they have been largely understudied throughout all domains of life, since their size often makes their identification and characterization challenging.
This work addressed the knowledge gap surrounding small proteins with a focus
on the model bacterial pathogen Salmonella Typhimurium. In a first step,
new small proteins were identified with a combination of computational and experimental approaches. Infection-relevant datasets were then investigated with
the updated Salmonella annotation to prioritize promising candidates involved in virulence.
To implement the annotation of new small proteins, predictions from the algorithm
sPepFinder were merged with those derived from Ribo-seq. These were added to the Salmonella annotation and used to (re)analyse different datasets. Information
regarding expression during infection (dual RNA-seq) and requirement for virulence (TraDIS) was collected for each given coding sequence. In parallel,
Grad-seq data were mined to identify small proteins engaged in intermolecular
interactions.
The combination of dual RNA-seq and TraDIS lead to the identification of small
proteins with features of virulence factors, namely high intracellular induction
and a virulence phenotype upon transposon insertion. As a proof of principle of
the power of this approach in highlighting high confidence candidates, two small
proteins were characterized in the context of Salmonella infection.
MgrB, a known regulator of the PhoPQ two-component system, was shown to be essential for the infection of epithelial cells and macrophages, possibly via its stabilizing effect on flagella or by interacting with other sensor kinases of twocomponent
systems. YjiS, so far uncharacterized in Salmonella, had an opposite role in infection, with its deletion rendering Salmonella hypervirulent. The mechanism underlying this, though still obscure, likely relies on the interaction with
inner-membrane proteins.
Overall, this work provides a global description of Salmonella small proteins in
the context of infection with a combinatorial approach that expedites the identification
of interesting candidates. Different high-throughput datasets available for
a broad range of organisms can be analysed in a similar manner with a focus on small proteins. This will lead to the identification of key factors in the regulation
of various processes, thus for example providing targets for the treatment of bacterial
infections or, in the case of commensal bacteria, for the modulation of the microbiota composition.
The small, regulatory RNA RepG (Regulator of polymeric G-repeats) regulates the expression of the chemotaxis receptor TlpB in Helicobacter pylori by targeting a variable G-repeat in the tlpB mRNA leader. Here, we show that RepG additionally controls lipopolysaccharide (LPS) phase variation by also modulating the expression of a gene (hp0102) that is co-transcribed with tlpB. The hp0102 gene encodes a glycosyltransferase required for LPS O-chain biosynthesis and in vivo colonization of the mouse stomach. The G-repeat length defines a gradual (rather than ON/OFF) control of LPS biosynthesis by RepG, and leads to gradual resistance to a membrane-targeting antibiotic. Thus, RepG-mediated modulation of LPS structure might impact host immune recognition and antibiotic sensitivity, thereby helping H. pylori to adapt and persist in the host. The small RNA RepG modulates expression of chemotaxis receptor TlpB in Helicobacter pylori by targeting a length-variable G-repeat in the tlpB mRNA. Here, Pernitzsch et al. show that RepG also gradually controls lipopolysaccharide biosynthesis, antibiotic susceptibility, and in-vivo colonization of the stomach, by regulating a gene that is co-transcribed with tlpB.
SMART (Simple Modular Architecture Research Tool) is a web resource (https://smart.embl.de) for the identification and annotation of protein domains and the analysis of protein domain architectures. SMART version 9 contains manually curatedmodels formore than 1300 protein domains, with a topical set of 68 new models added since our last update article (1). All the new models are for diverse recombinase families and subfamilies and as a set they provide a comprehensive overview of mobile element recombinases namely transposase, integrase, relaxase, resolvase, cas1 casposase and Xer like cellular recombinase. Further updates include the synchronization of the underlying protein databases with UniProt (2), Ensembl (3) and STRING (4), greatly increasing the total number of annotated domains and other protein features available in architecture analysis mode. Furthermore, SMART's vector-based protein display engine has been extended and updated to use the latest web technologies and the domain architecture analysis components have been optimized to handle the increased number of protein features available.
The presence of a partner can attenuate physiological fear responses, a phenomenon known as social buffering. However, not all individuals are equally sociable. Here we investigated whether social buffering of fear is shaped by sensitivity to social anxiety (social concern) and whether these effects are different in females and males. We collected skin conductance responses (SCRs) and affect ratings of female and male participants when they experienced aversive and neutral sounds alone (alone treatment) or in the presence of an unknown person of the same gender (social treatment). Individual differences in social concern were assessed based on a well-established questionnaire. Our results showed that social concern had a stronger effect on social buffering in females than in males. The lower females scored on social concern, the stronger the SCRs reduction in the social compared to the alone treatment. The effect of social concern on social buffering of fear in females disappeared if participants were paired with a virtual agent instead of a real person. Together, these results showed that social buffering of human fear is shaped by gender and social concern. In females, the presence of virtual agents can buffer fear, irrespective of individual differences in social concern. These findings specify factors that shape the social modulation of human fear, and thus might be relevant for the treatment of anxiety disorders.
Emotion-motivation models propose that behaviors, including health behaviors, should be predicted by the same variables that also predict negative affect since emotional reactions should induce a motivation to avoid threatening situations. In contrast, social cognitive models propose that safety behaviors are predicted by a different set of variables that mainly reflect cognitive and socio-structural aspects. Here, we directly tested these opposing hypotheses in young adults (N = 4134) in the context of COVID-19-related safety behaviors to prevent infections. In each participant, we collected measures of negative affect as well as cognitive and socio-structural variables during the lockdown in the first infection wave in Germany. We found a negative effect of the pandemic on emotional responses. However, this was not the main predictor for young adults’ willingness to comply with COVID-19-related safety measures. Instead, individual differences in compliance were mainly predicted by cognitive and socio-structural variables. These results were confirmed in an independent data set. This study shows that individuals scoring high on negative affect during the pandemic are not necessarily more likely to comply with safety regulations. Instead, political measures should focus on cognitive interventions and the societal relevance of the health issue. These findings provide important insights into the basis of health-related concerns and feelings as well as behavioral adaptations.
Die Regulation der Genexpression steht am Anfang vieler zellbiologischer Prozesse wie beispielsweise dem Zellwachstum oder der Differenzierung. Gene werden an Promotoren transkribiert, wobei ein Promotor selbst aus vielen logischen Einheiten aufgebaut ist, den Transkriptionsfaktorbindestellen (TFBSs). Diese können sehr nah beieinander liegen, aber auch weit entfernt voneinander sein. Sie werden spezifisch von Transkriptionsfaktoren (TFs) gebunden, die die Transkritptionsrate z.B. verstärken (Enhancer) oder schwächen (Silencer) können. Zwei oder mehr dieser TFBSs mit bestimmtem Abstand werden als "Module" zusammengefasst, die über Spezies hinweg konserviert sein können. Typischerweise findet man Module in Zellen mit einem Zellkern. Spezies mit gemeinsamen Modulen können ein Hinweis auf die gemeinsame phylogenetische Abstammung darstellen, aber auch gemeinsame Funktionsmechanismen von TFs über Gene hinweg aufdecken. Heutzutage sind verschiedene Anwendungen verfügbar, mit denen nach TFBSs in DNA gesucht werden kann. Zum Zeitpunkt des Verfassens dieser Arbeit sind aber nur zwei kommerzielle Produkte bekannt, die nicht nur TFBSs, sondern auch Module erkennen. Deshalb stellen wir hier die freie und quelloffene Lösung "AIModules" vor, die diese Lücke füllt und einen Webservice zur Verfügung stellt, der es erlaubt nach TFBSs sowie nach Modulen auf DNA- und auf RNA-Abschnitten zu suchen. Für die Motivesuche werden entweder Matrizen aus der Jaspar Datenbank oder Matrizen vom Anwender verwendet. Darüberhinaus zeigen wir, dass unser Tool für die TF Suche nur Sekunden benötigt, wohingegen conTraV3 mindestens eine Stunde für dieselbe Analyse braucht. Zusätzlich kann der Anwender bei unserem Tool den Grad der Konserviertheit für TFs mit angeben und wir zeigen, dass wir mit unserer Lösung, die die Jaspar Datenbank heranzieht, mehr Module finden, als ein kommerziell verfügbares Produkt. Weiterhin kann mit unserer Lösung auch auf RNA-Sequenzen nach regulatorischen Motiven gesucht werden, wenn der Anwender die dafür nötigen Matrizen liefert. Wir zeigen dies am Beispiel von Polyadenylierungsstellen. Zusammenfassend stellen wir ein Werkzeug vor, das erstens frei und quelloffen ist und zweitens entweder auf Servern veröffentlicht werden kann oder On-Site auf einem Notebook läuft. Unser Tool erlaubt es Promotoren zu analysieren und nach konservierten Modulen sowie TFBSs in Genfamilien sowie nach regulatorischen Elementen in mRNA wie z.B. Polyadenylierungsstellen oder andere regulatorische Elemente wie beispielsweise Enhancern oder Silencern in genomischer DNA zu suchen.
A protecting group strategy was employed to synthesise a series of indolenine squaraine dye oligomers up to the nonamer. The longer oligomers show a distinct solvent dependence of the absorption spectra, that is, either a strong blue shift or a strong red shift of the lowest energy bands in the near infrared spectral region. This behaviour is explained by exciton coupling theory as being due to H- or J-type coupling of transition moments. The H-type coupling is a consequence of a helix folding in solvents with a small Hansen dispersity index. DOSY NMR, small angle neutron scattering (SANS), quantum chemical and force field calculations agree upon a helix structure with an unusually large pitch and open voids that are filled with solvent molecules, thereby forming a kind of clathrate. The thermodynamic parameters of the folding process were determined by temperature dependent optical absorption spectra.
Companies increasingly seek to use gay protagonists in audio-visual commercials to attract a new affluent target group. There is also growing demand for the diversity present in society to be reflected in media formats such as advertising. Studies have shown, however, that heterosexual consumers (especially men), who may be part of the company's loyal consumer base, tend to react negatively to gay-themed advertising campaigns. Searching for an instrument to mitigate this unwanted effect, the present study investigated whether carefully selected background music can shape the perceived gender of gay male advertising protagonists. In a 2 × 2 between-subjects online experiment (musical connotation × gender of the participant), 218 heterosexual participants watched a commercial promoting engagement rings that featured gay male protagonists, scored with feminine- or masculine-connoted background music. As expected, women generally reacted more positively than men to the advertising. Men exposed to the masculine-connoted background music rated the promoted brand more positively, and masculine music also enhanced (at least in the short term) these men's acceptance of gay men in general (low and medium effect sizes) more than was the case for feminine background music. Carefully selected background music affecting the perceived gender of gay male advertising protagonists may prevent negative reactions from heterosexual audiences and, therefore, motivate companies to use gay protagonists in television commercials on a more regular basis.
Plenty of theories, models, measures, and investigations target the understanding of virtual presence, i.e., the sense of presence in immersive Virtual Reality (VR). Other varieties of the so-called eXtended Realities (XR), e.g., Augmented and Mixed Reality (AR and MR) incorporate immersive features to a lesser degree and continuously combine spatial cues from the real physical space and the simulated virtual space. This blurred separation questions the applicability of the accumulated knowledge about the similarities of virtual presence and presence occurring in other varieties of XR, and corresponding outcomes. The present work bridges this gap by analyzing the construct of presence in mixed realities (MR). To achieve this, the following presents (1) a short review of definitions, dimensions, and measurements of presence in VR, and (2) the state of the art views on MR. Additionally, we (3) derived a working definition of MR, extending the Milgram continuum. This definition is based on entities reaching from real to virtual manifestations at one time point. Entities possess different degrees of referential power, determining the selection of the frame of reference. Furthermore, we (4) identified three research desiderata, including research questions about the frame of reference, the corresponding dimension of transportation, and the dimension of realism in MR. Mainly the relationship between the main aspects of virtual presence of immersive VR, i.e., the place-illusion, and the plausibility-illusion, and of the referential power of MR entities are discussed regarding the concept, measures, and design of presence in MR. Finally, (5) we suggested an experimental setup to reveal the research heuristic behind experiments investigating presence in MR. The present work contributes to the theories and the meaning of and approaches to simulate and measure presence in MR. We hypothesize that research about essential underlying factors determining user experience (UX) in MR simulations and experiences is still in its infancy and hopes this article provides an encouraging starting point to tackle related questions.