Refine
Has Fulltext
- yes (14)
Is part of the Bibliography
- yes (14)
Document Type
- Journal article (13)
- Doctoral Thesis (1)
Keywords
- artificial intelligence (2)
- Absatz- und Produktionsplanung (1)
- Absatzplanung (1)
- Antiparanodal Autoantibodies (1)
- BRCA1 (1)
- Business Intelligence (1)
- Business Planning (1)
- C-MYC (1)
- DNA sequencing (1)
- DNA-repair (1)
Institute
- Betriebswirtschaftliches Institut (3)
- Institut für Humangenetik (2)
- Institut für Klinische Epidemiologie und Biometrie (2)
- Neurologische Klinik und Poliklinik (2)
- Institut für Virologie und Immunbiologie (1)
- Klinik und Poliklinik für Anästhesiologie (ab 2004) (1)
- Lehrstuhl für Biochemie (1)
- Medizinische Klinik und Poliklinik I (1)
- Pathologisches Institut (1)
- Theodor-Boveri-Institut für Biowissenschaften (1)
EU-Project number / Contract (GA) number
- 694913 (1)
Traumatic spinal cord injuries result in impairment or even complete loss of motor, sensory and autonomic functions. Recovery after complete spinal cord injury is very limited even in animal models receiving elaborate combinatorial treatments. Recently, we described an implantable microsystem (microconnector) for low-pressure re-adaption of severed spinal stumps in rat. Here we investigate the long-term structural and functional outcome following microconnector implantation after complete spinal cord transection. Re-adaptation of spinal stumps supports formation of a tissue bridge, glial and vascular cell invasion, motor axon regeneration and myelination, resulting in partial recovery of motor-evoked potentials and a thus far unmet improvement of locomotor behaviour. The recovery lasts for at least 5 months. Despite a late partial decline, motor recovery remains significantly superior to controls. Our findings demonstrate that microsystem technology can foster long-lasting functional improvement after complete spinal injury, providing a new and effective tool for combinatorial therapies.
Evolutionary conserved networks of human height identify multiple Mendelian causes of short stature
(2019)
Height is a heritable and highly heterogeneous trait. Short stature affects 3% of the population and in most cases is genetic in origin. After excluding known causes, 67% of affected individuals remain without diagnosis. To identify novel candidate genes for short stature, we performed exome sequencing in 254 unrelated families with short stature of unknown cause and identified variants in 63 candidate genes in 92 (36%) independent families. Based on systematic characterization of variants and functional analysis including expression in chondrocytes, we classified 13 genes as strong candidates. Whereas variants in at least two families were detected for all 13 candidates, two genes had variants in 6 (UBR4) and 8 (LAMA5) families, respectively. To facilitate their characterization, we established a clustered network of 1025 known growth and short stature genes, which yielded 29 significantly enriched clusters, including skeletal system development, appendage development, metabolic processes, and ciliopathy. Eleven of the candidate genes mapped to 21 of these clusters, including CPZ, EDEM3, FBRS, IFT81, KCND1, PLXNA3, RASA3, SLC7A8, UBR4, USP45, and ZFHX3. Fifty additional growth-related candidates we identified await confirmation in other affected families. Our study identifies Mendelian forms of growth retardation as an important component of idiopathic short stature.
The Epstein-Barr Virus (EBV) -encoded EBNA2 protein, which is essential for the in vitro transformation of B-lymphocytes, interferes with cellular processes by binding to proteins via conserved sequence motifs. Its Arginine-Glycine (RG) repeat element contains either symmetrically or asymmetrically di-methylated arginine residues (SDMA and ADMA, respectively). EBNA2 binds via its SDMA-modified RG-repeat to the survival motor neurons protein (SMN) and via the ADMA-RG-repeat to the NP9 protein of the human endogenous retrovirus K (HERV-K (HML-2) Type 1). The hypothesis of this work was that the methylated RG-repeat mimics an epitope shared with cellular proteins that is used for interaction with target structures. With monoclonal antibodies against the modified RG-repeat, we indeed identified cellular homologues that apparently have the same surface structure as methylated EBNA2. With the SDMA-specific antibodies, we precipitated the Sm protein D3 (SmD3) which, like EBNA2, binds via its SDMA-modified RG-repeat to SMN. With the ADMA-specific antibodies, we precipitated the heterogeneous ribonucleoprotein K (hnRNP K). Specific binding of the ADMA-antibody to hnRNP K was demonstrated using E. coli expressed/ADMA-methylated hnRNP K. In addition, we show that EBNA2 and hnRNP K form a complex in EBV-infected B-cells. Finally, hnRNP K, when co-expressed with EBNA2, strongly enhances viral latent membrane protein 2A (LMP2A) expression by an unknown mechanism as we did not detect a direct association of hnRNP K with DNA-bound EBNA2 in gel shift experiments. Our data support the notion that the methylated surface of EBNA2 mimics the surface structure of cellular proteins to interfere with or co-opt their functional properties.
Secondary Prevention after Minor Stroke and TIA - Usual Care and Development of a Support Program
(2012)
Background: Effective methods of secondary prevention after stroke or TIA are available but adherence to recommended evidence-based treatments is often poor. The study aimed to determine the quality of secondary prevention in usual care and to develop a stepwise modeled support program.
Methods: Two consecutive cohorts of patients with acute minor stroke or TIA undergoing usual outpatient care versus a secondary prevention program were compared. Risk factor control and medication adherence were assessed in 6-month follow-ups (6M-FU). Usual care consisted of detailed information concerning vascular risk factor targets given at discharge and regular outpatient care by primary care physicians. The stepwise modeled support program additionally employed up to four outpatient appointments. A combination of educational and behavioral strategies was employed.
Results: 168 patients in the observational cohort who stated their openness to participate in a prevention program (mean age 64.7 y, admission blood pressure (BP): 155/84 mmHg) and 173 patients participating in the support program (mean age 67.6 y, BP: 161/84 mmHg) were assessed at 6 months. Proportions of patients with BP according to guidelines were 50% in usual-care and 77% in the support program (p<0.01). LDL<100 mg/dl was measured in 62 versus 71% (p = 0.12). Proportions of patients who stopped smoking were 50 versus 79% (p<0.01). 72 versus 89% of patients with atrial fibrillation were on oral anticoagulation (p = 0.09).
Conclusions: Risk factor control remains unsatisfactory in usual care. Targets of secondary prevention were met more often within the supported cohort. Effects on (cerebro-)vascular recurrence rates are going to be assessed in a multicenter randomized trial.
Im Umfeld von Unternehmenssoftware, Planung und Entscheidung in Wertschöpfungsnetzen sind verschiedene Schlagwörter weit verbreitet. Technologisch getriebene Themen wie Real-Time-Enterprise-Management, Big Data, Business Intelligence, Corporate Performance Ma-nagement und die dazugehörige Software werden in diversen Anwendungskontexten verwen-det. In Unternehmen jedoch werden die klassischen betriebswirtschaftlichen Aufgaben wie Unternehmens-, Absatz- und Produktionsplanung rein methodisch und funktional durchge-führt. Eine abteilungsübergreifende Prozessbetrachtung kann nicht als gegeben betrachtet werden. Das Zusammentreffen von technologischem Fortschritt durch Standardanwendungs-software verbunden mit innovativen Datenspeicher- und Informationsverarbeitungsmethoden und den organisatorischen Strukturen in global agierenden Produktionsunternehmen, bewirkt einen nie da gewesenen Anstieg der Komplexität. Folglich müssen sich die Organisation und Informationssysteme im Sinne der Integration aneinander annähern, um Koordinations-schwierigkeiten bei bereichsübergreifenden Arbeitsabläufen und deren Informationsflüssen zu reduzieren.
Die zunehmende Automatisierung inner- und zwischenbetrieblicher Planungsabläufe sowie der Anstieg der Informationsquellen für zukünftige Geschäftsentscheidungen hat eine große Datenmenge zur Folge. Um den unbestrittenen Mehrwert von richtiger Information am richti-gen Ort zur richtigen Zeit für Unternehmen nutzbar zu machen und die daraus abgeleiteten Entscheidungen umzusetzen, bedarf es einer präzisen Beschreibung der relevanten Geschäfts-prozesse und der spezifischen Informationen. Deshalb verändern sich die Planungs- und Ent-scheidungsprozesse durch die Konsolidierung moderner Informationstechnologie massiv. Hierfür wird ein innovativer und praxiserprobter Ansatz entwickelt:
Unter integrierter Planung- und Entscheidung (IPE) ist die Standardisierung der dezentralen Entscheidungsfindung unter Einbeziehung aller relevanten Informationen im Absatz-, Pro-duktionsgrob- und Finanzplanungsprozess zu verstehen. Basis ist die zentrale Informations-administration.
Der Autor entwickelt ein Vorgehensmodell zur Standardisierung des integrierten Planungs- und Entscheidungsprozesses, das alle wesentlichen Funktionen und Abteilungen eines produ-zierenden Unternehmens verbindet. Dabei werden die relevanten Informationen identifiziert und in ein ganzheitliches IPE-Rahmenwerk eingebettet. Dies zeigt das Zusammenspiel der allgemeinen informationstechnologischen und organisatorischen Anforderungen mit den auf-gabenbezogenen Zielsetzungen im taktischen Planungs- und Entscheidungsprozess auf. Das Modell löst die Planungsproblematik im Anwendungsfall eines multinationalen Unterneh-mens.
Anwender erhalten mit der Arbeit einen praxisgerechten Leitfaden zur Einführung standardi-sierter Planungs- und Entscheidungsprozesse. Dabei wird die Automatisierung insofern be-rücksichtigt, dass das Vorgehensmodell auch für Unternehmen mit heterogenen Informations-systemlandschaften Nutzen stiftet. Darüber hinaus, kann das IPE-Modell für Software-Firmen als Ausgangspunkt zur Weiterentwicklung von Standardanwendungssoftware im taktischen Managementbereich dienen.
Background
Even though bleeding and thromboembolic events are major complications of extracorporeal membrane oxygenation (ECMO), data on the incidence of venous thrombosis (VT) and thromboembolism (VTE) under ECMO are scarce. This study analyzes the incidence and predictors of VTE in patients treated with ECMO due to respiratory failure.
Methods
Retrospective analysis of patients treated on ECMO in our center from 04/2010 to 11/2015. Patients with thromboembolic events prior to admission were excluded. Diagnosis was made by imaging in survivors and postmortem examination in deceased patients.
Results
Out of 102 screened cases, 42 survivors and 21 autopsy cases [mean age 46.0 ± 14.4 years; 37 (58.7 %) males] fulfilling the above-mentioned criteria were included. Thirty-four patients (54.0 %) underwent ECMO therapy due to ARDS, and 29 patients (46.0 %) with chronic organ failure were bridged to lung transplantation. Despite systemic anticoagulation at a mean PTT of 50.6 ± 12.8 s, [VT/VTE 47.0 ± 12.3 s and no VT/VTE 53.63 ± 12.51 s (p = 0.037)], VT and/or VTE was observed in 29 cases (46.1 %). The rate of V. cava thrombosis was 15/29 (51.7 %). Diagnosis of pulmonary embolism prevailed in deceased patients [5/21 (23.8 %) vs. 2/42 (4.8 %) (p = 0.036)]. In a multivariable analysis, only aPTT and time on ECMO predicted VT/VTE. There was no difference in the incidence of clinically diagnosed VT in ECMO survivors and autopsy findings.
Conclusions
Venous thrombosis and thromboembolism following ECMO therapy are frequent. Quality of anticoagulation and ECMO runtime predicted thromboembolic events.
"
Background
Inherited pathogenic variants in BRCA1 and BRCA2 are the most common causes of hereditary breast and ovarian cancer (HBOC). The risk of developing breast cancer by age 80 in women carrying a BRCA1 pathogenic variant is 72%. The lifetime risk varies between families and even within affected individuals of the same family. The cause of this variability is largely unknown, but it is hypothesized that additional genetic factors contribute to differences in age at onset (AAO). Here we investigated whether truncating and rare missense variants in genes of different DNA-repair pathways contribute to this phenomenon.
Methods
We used extreme phenotype sampling to recruit 133 BRCA1-positive patients with either early breast cancer onset, below 35 (early AAO cohort) or cancer-free by age 60 (controls). Next Generation Sequencing (NGS) was used to screen for variants in 311 genes involved in different DNA-repair pathways.
Results
Patients with an early AAO (73 women) had developed breast cancer at a median age of 27 years (interquartile range (IQR); 25.00–27.00 years). A total of 3703 variants were detected in all patients and 43 of those (1.2%) were truncating variants. The truncating variants were found in 26 women of the early AAO group (35.6%; 95%-CI 24.7 - 47.7%) compared to 16 women of controls (26.7%; 95%-CI 16.1 to 39.7%). When adjusted for environmental factors and family history, the odds ratio indicated an increased breast cancer risk for those carrying an additional truncating DNA-repair variant to BRCA1 mutation (OR: 3.1; 95%-CI 0.92 to 11.5; p-value = 0.07), although it did not reach the conventionally acceptable significance level of 0.05.
Conclusions
To our knowledge this is the first time that the combined effect of truncating variants in DNA-repair genes on AAO in patients with hereditary breast cancer is investigated. Our results indicate that co-occurring truncating variants might be associated with an earlier onset of breast cancer in BRCA1-positive patients. Larger cohorts are needed to confirm these results.
Neutralization or deletion of tumor necrosis factor (TNF) causes loss of control of intracellular pathogens in mice and humans, but the underlying mechanisms are incompletely understood. Here, we found that TNF antagonized alternative activation of macrophages and dendritic cells by IL-4. TNF inhibited IL-4-induced arginase 1 (Arg1) expression by decreasing histone acetylation, without affecting STAT6 phosphorylation and nuclear translocation. In Leishmania major-infected C57BL/6 wild-type mice, type 2 nitric oxide (NO) synthase (NOS2) was detected in inflammatory dendritic cells or macrophages, some of which co-expressed Arg1. In TNF-deficient mice, Arg1 was hyperexpressed, causing an impaired production of NO in situ. A similar phenotype was seen in L. major-infected BALB/c mice. Arg1 deletion in hematopoietic cells protected these mice from an otherwise lethal disease, although their disease-mediating T cell response (Th2, Treg) was maintained. Thus, deletion or TNF-mediated restriction of Arg1 unleashes the production of NO by NOS2, which is critical for pathogen control.
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of analytical model building and solve associated tasks. Deep learning is a machine learning concept based on artificial neural networks. For many applications, deep learning models outperform shallow machine learning models and traditional data analysis approaches. In this article, we summarize the fundamentals of machine learning and deep learning to generate a broader understanding of the methodical underpinning of current intelligent systems. In particular, we provide a conceptual distinction between relevant terms and concepts, explain the process of automated analytical model building through machine learning and deep learning, and discuss the challenges that arise when implementing such intelligent systems in the field of electronic markets and networked business. These naturally go beyond technological aspects and highlight issues in human-machine interaction and artificial intelligence servitization.
The high diversity of insects has limited the volume of long-term community data with a high taxonomic resolution and considerable geographic replications, especially in forests. Therefore, trends and causes of changes are poorly understood. Here we analyse trends in species richness, abundance and biomass of nocturnal macro moths in three quantitative data sets collected over four decades in forests in southern Germany. Two local data sets, one from coppiced oak forests and one from high oak forests included 125K and 48K specimens from 559 and 532 species, respectively. A third regional data set, representing all forest types in the temperate zone of central Europe comprised 735K specimens from 848 species. Generalized additive mixed models revealed temporal declines in species richness (−38%), abundance (−53%) and biomass (−57%) at the regional scale. These were more pronounced in plant host specialists and in dark coloured species. In contrast, the local coppiced oak forests showed an increase, in species richness (+62%), while the high oak forests showed no clear trends. Left and right censoring as well as cross validation confirmed the robustness of the analyses, which led to four conclusions. First, the decline in insects appears in hyper diverse insect groups in forests and affects species richness, abundance and biomass. Second, the pronounced decline in host specialists suggests habitat loss as an important driver of the observed decline. Third, the more severe decline in dark species might be an indication of global warming as a potential driver. Fourth, the trends in coppiced oak forests indicate that maintaining complex and diverse forest ecosystems through active management may be a promising conservation strategy in order to counteract negative trends in biodiversity, alongside rewilding approaches.