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Institute
Depletion of the enzyme cofactor, tetrahydrobiopterin (BH4), in T-cells was shown to prevent their proliferation upon receptor stimulation in models of allergic inflammation in mice, suggesting that BH4 drives autoimmunity. Hence, the clinically available BH4 drug (sapropterin) might increase the risk of autoimmune diseases. The present study assessed the implications for multiple sclerosis (MS) as an exemplary CNS autoimmune disease. Plasma levels of biopterin were persistently low in MS patients and tended to be lower with high Expanded Disability Status Scale (EDSS). Instead, the bypass product, neopterin, was increased. The deregulation suggested that BH4 replenishment might further drive the immune response or beneficially restore the BH4 balances. To answer this question, mice were treated with sapropterin in immunization-evoked autoimmune encephalomyelitis (EAE), a model of multiple sclerosis. Sapropterin-treated mice had higher EAE disease scores associated with higher numbers of T-cells infiltrating the spinal cord, but normal T-cell subpopulations in spleen and blood. Mechanistically, sapropterin treatment was associated with increased plasma levels of long-chain ceramides and low levels of the poly-unsaturated fatty acid, linolenic acid (FA18:3). These lipid changes are known to contribute to disruptions of the blood–brain barrier in EAE mice. Indeed, RNA data analyses revealed upregulations of genes involved in ceramide synthesis in brain endothelial cells of EAE mice (LASS6/CERS6, LASS3/CERS3, UGCG, ELOVL6, and ELOVL4). The results support the view that BH4 fortifies autoimmune CNS disease, mechanistically involving lipid deregulations that are known to contribute to the EAE pathology.
Dysregulation of lysophosphatidic acids in multiple sclerosis and autoimmune encephalomyelitis
(2017)
Bioactive lipids contribute to the pathophysiology of multiple sclerosis. Here, we show that lysophosphatidic acids (LPAs) are dysregulated in multiple sclerosis (MS) and are functionally relevant in this disease. LPAs and autotaxin, the major enzyme producing extracellular LPAs, were analyzed in serum and cerebrospinal fluid in a cross-sectional population of MS patients and were compared with respective data from mice in the experimental autoimmune encephalomyelitis (EAE) model, spontaneous EAE in TCR1640 mice, and EAE in Lpar2 -/- mice. Serum LPAs were reduced in MS and EAE whereas spinal cord LPAs in TCR1640 mice increased during the ‘symptom-free’ intervals, i.e. on resolution of inflammation during recovery hence possibly pointing to positive effects of brain LPAs during remyelination as suggested in previous studies. Peripheral LPAs mildly re-raised during relapses but further dropped in refractory relapses. The peripheral loss led to a redistribution of immune cells from the spleen to the spinal cord, suggesting defects of lymphocyte homing. In support, LPAR2 positive T-cells were reduced in EAE and the disease was intensified in Lpar2 deficient mice. Further, treatment with an LPAR2 agonist reduced clinical signs of relapsing-remitting EAE suggesting that the LPAR2 agonist partially compensated the endogenous loss of LPAs and implicating LPA signaling as a novel treatment approach.
Based on increasing evidence suggesting that MS pathology involves alterations in bioactive lipid metabolism, the present analysis was aimed at generating a complex serum lipid-biomarker. Using unsupervised machine-learning, implemented as emergent self-organizing maps of neuronal networks, swarm intelligence and Minimum Curvilinear Embedding, a cluster structure was found in the input data space comprising serum concentrations of d = 43 different lipid-markers of various classes. The structure coincided largely with the clinical diagnosis, indicating that the data provide a basis for the creation of a biomarker (classifier). This was subsequently assessed using supervised machine-learning, implemented as random forests and computed ABC analysis-based feature selection. Bayesian statistics-based biomarker creation was used to map the diagnostic classes of either MS patients (n = 102) or healthy subjects (n = 301). Eight lipid-markers passed the feature selection and comprised GluCerC16, LPA20:4, HETE15S, LacCerC24:1, C16Sphinganine, biopterin and the endocannabinoids PEA and OEA. A complex classifier or biomarker was developed that predicted MS at a sensitivity, specificity and accuracy of approximately 95% in training and test data sets, respectively. The present successful application of serum lipid marker concentrations to MS data is encouraging for further efforts to establish an MS biomarker based on serum lipidomics.
Purpose: Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) replicates predominantly in the upper respiratory tract and is primarily transmitted by droplets and aerosols. Taking the medical history for typical COVID-19 symptoms and PCR-based SARS-CoV-2 testing have become established as screening procedures. The aim of this work was to describe the clinical appearance of SARS-CoV-2-PCR positive patients and to determine the SARS-CoV-2 contact risk for health care workers (HCW).
Methods: The retrospective study included n = 2283 SARS-CoV-2 PCR tests from n = 1725 patients with otorhinolaryngological (ORL) diseases performed from March to November 2020 prior to inpatient treatment. In addition, demographic data and medical history were assessed.
Results: n = 13 PCR tests (0.6%) were positive for SARS-CoV-2 RNA. The positive rate showed a significant increase during the observation period (p < 0.01). None of the patients had clinical symptoms that led to a suspected diagnosis of COVID-19 before PCR testing. The patients were either asymptomatic (n = 4) or had symptoms that were interpreted as symptoms typical of the ORL disease or secondary diagnoses (n = 9).
Conclusion: The identification of SARS-CoV-2-positive patients is a considerable challenge in clinical practice. Our findings illustrate that taking a medical history alone is of limited value and cannot replace molecular SARS-CoV-2 testing, especially for patients with ORL diseases. Our data also demonstrate that there is a high probability of contact with SARS-CoV-2-positive patients in everyday clinical practice, so that the use of personal protective equipment, even in apparently “routine cases”, is highly recommended.
Hintergrund: Eine standardisierte Erhebung von COVID-19-Infektionen bei Gesundheitspersonal während der laufenden Pandemie war und ist nicht gegeben. Vor allem der Anteil von arbeitsbedingten Infektionen beim Gesundheitspersonal und die Frage, welche Arbeitnehmer/-innen darunter am meisten gefährdet sind, bleiben unklar.
Ziel: Ziel dieser Studie war es, die gemeldeten COVID-19-Fälle beim Gesundheitspersonal in Frankfurt/Main in den ersten 6 Monaten der Pandemie zu analysieren, die Zahl der arbeitsbedingten Infektionen zu ermitteln und somit eine bessere Interpretation der durch das Robert Koch-Institut veröffentlichten Daten zu ermöglichen.
Methoden: Die Daten des Gesundheitsamts Frankfurt/Main wurden für den Zeitraum vom 01.03. bis zum 31.08.2020 betrachtet und medizinisches Personal für eine Querschnittserhebung im Rahmen einer Umfrage rekrutiert. Drei Subgruppen wurden nach Ort des Infektionskontakts, am Arbeitsplatz, im Privaten und unbekannt, unterteilt und analysiert.
Ergebnisse: Medizinisches Personal machte 11,8 % (319/2700) aller gemeldeten COVID-19-Fälle in Frankfurt/Main im untersuchten Zeitraum aus. In der Umfrage gaben 47,2 % der Befragten an, dass ihre Infektion am Arbeitsplatz erworben wurde. Es zeigte sich eine Assoziation von Kontakt zu COVID-19-Patient/-innen sowie der Beschäftigung auf einer internistischen Station und einer arbeitsbedingten Infektion. Ersichtlich wurde außerdem ein Zusammenhang zwischen mutmaßlichen Infektionen am Arbeitsplatz und folglich gestellten Verdachtsanzeigen auf Berufskrankheit.
Diskussion und Fazit: Gesundheitsämter sind in der Lage, relevante Daten von arbeitsbedingten Transmissionen in Berufen und Arbeitsplätzen im Gesundheitswesen zu erheben, und sollten standardisierte Daten zu infiziertem Gesundheitspersonal generieren. Diese Daten sind notwendig, um gezielte Maßnahmen der Infektionsprävention zu ergreifen, die Gesundheitspersonal und ihre Patient/-innen schützen.
Influenza A (H1N1) 2009 : impact on Frankfurt in due consideration of health care and public health
(2010)
Background: In April 2009 a novel influenza A H1N1/2009 virus was identified in Mexico and in the United States which quickly spread around the world. Most of the countries established infection surveillance systems in order to track the number of (laboratory-confirmed) H1N1 cases, hospitalizations and deaths. Methods: The impact of the emergence of the novel pandemic (H1N1) 2009 virus on Frankfurt was statistically evaluated by the Health Protection Authority, City of Frankfurt am Main. Vaccination rates of the health care workers (HCWs) of the University Hospital Frankfurt were measured by the Occupational Health Service. Results: Although the virulence of pandemic (H1N1) 2009 seems to be comparable with seasonal influenza, a major patient load and wave of hospital admissions occurred in the summer of 2009. Even though the 2009 vaccination rate of the University Hospital Frankfurt (seasonal influenza [40.5%], swine flu [36.3%]) is better than the average annual uptake of influenza vaccine in the German health care system (approximately 22% for seasonal and 15% for swine flu), vaccination levels remain insufficient. However, physicians were significantly (p < 0.001) more likely to have been vaccinated against swine flu and seasonal influenza than nurses. Conclusions: The outbreak of the pandemic (H1N1) 2009 in April 2009 provided a major challenge to health services around the world. Nosocomial transmission of H1N1/2009 has been documented. Present experience should be used to improve pandemic preparedness plans and vaccination programs ought to target as many HCWs as possible.
Background Medical students come into contact with infectious diseases early on their career. Immunity against vaccine-preventable diseases is therefore vital for both medical students and the patients with whom they come into contact. Methods The purpose of this study was to compare the medical history and serological status of selected vaccine-preventable diseases of medical students in Germany. Results The overall correlation between medical history statements and serological findings among the 150 students studied was 86.7 %, 66.7 %, 78 % and 93.3 % for measles, mumps, rubella and varicella, conditional on sufficient immunity being achieved after one vaccination. Conclusions Although 81.2 % of the students medical history data correlated with serological findings, significant gaps in immunity were found. Our findings indicate that medical history alone is not a reliable screening tool for immunity against the vaccine-preventable diseases studied.
Background: Influenza vaccination of healthcare workers (HCWs) is recommended to prevent the transmission of influenza to vulnerable patients. Nevertheless, vaccination coverage rates of HCWs in European countries have been low.
Aim: To investigate the relative and combined strength of sociocognitive variables, from past research, theory and a qualitative study, in explaining the motivation of HCWs to receive the influenza vaccine.
Methods: An anonymous, online questionnaire was distributed among HCWs in hospital settings in Belgium, Germany and the Netherlands between February and April 2013.
Findings: Attitude and past vaccination uptake explained a considerable amount of variance in the intention of HCWs to receive the influenza vaccine. Moreover, low perceived social norms, omission bias, low moral norms, being older, having no patient contact, and being Belgian or Dutch (compared with German) increased the probability of having no intention to receive the influenza vaccine compared with being undecided about vaccination. High intention to receive the influenza vaccine was shown to be more likely than being undecided about vaccination when HCWs had high perceived susceptibility of contracting influenza, low naturalistic views, and lower motivation to receive the vaccine solely for self-protection.
Conclusion: Country-specific interventions and a focus on different sociocognitive variables depending on the intention/lack of intention of HCWs to receive the influenza vaccine may be beneficial to promote vaccination uptake.
Background: Hundreds of West African healthcare workers (HCW) have become ill with Ebola virus disease (EVD) and died during the recent outbreak. The occurrence of occupational infections in laboratories could be due to the lack of use of personal protective equipment, the failure to implement specific regulations about the use of equipment and how to work with hazardous materials. Our study attempted to assess the information as well as training level of HCW of a German high level isolation unit and their concern over an occupationally acquired EVD.
Methods: During the recent Ebola virus outbreak a survey was conducted among HCWs, using an anonymous questionnaire.
Results: Although 70% of our total study population stated that they have all the information needed to care for Ebola patients, only 18.2% of laboratory workers and 29.4% of the HCW of the virology department felt sufficiently trained. The HCW rated the Internet (64.3%) and the daily press (54.3%) as the most important sources of information. Medical literature (45.7%) and official institutions (40.4%) were rated less often.
Conclusions: Formulated pointedly, the HCW turned to popular science to get the information they need to feel safe. Further in house training regarding practical skills and reference to scientific literature would be a better solution to ensure workplace safety.
Im vorliegenden Fall wird von einer Fehldiagnose auf der Grundlage eines falsch-reaktiven Anti-HCV-Tests und eines falsch-reaktiven HCV-Nukleinsäureamplifikationstests (NAT) berichtet, die bei einem 58-jährigen chirurgischen Oberarzt im Rahmen einer arbeitsmedizinischen Vorsorgeuntersuchung im krankenhauseigenen Labor gestellt wurde und zu einem knapp zweimonatigen Berufsverbot führte. Basis dieser Fehldiagnose war ein wiederholt schwach reaktiver HCV-Antikörper-ELISA, der mit einem Nukleinsäureamplifikationstest, der ebenfalls schwach positiv ausfiel, überprüft wurde. Ein Antikörperbestätigungs- bzw. Ergänzungstest (Immunoblot) wurde nicht durchgeführt. Die Fehldiagnose ist jedoch nicht durch einen Testfehler, sondern durch ein Missverständnis entstanden, indem beim Kliniker zwei Laborindizien zu einem Beweis aufsummiert wurden.