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Viruses that carry a positive-sense, single-stranded (+ssRNA) RNA translate their genomes soon after entering the host cell to produce viral proteins, with the exception of retroviruses. A distinguishing feature of retroviruses is reverse transcription, where the +ssRNA genome serves as a template to synthesize a double-stranded DNA copy that subsequently integrates into the host genome. As retroviral RNAs are produced by the host cell transcriptional machinery and are largely indistinguishable from cellular mRNAs, we investigated the potential of incoming retroviral genomes to directly express proteins. Here we show through multiple, complementary methods that retroviral genomes are translated after entry. Our findings challenge the notion that retroviruses require reverse transcription to produce viral proteins. Synthesis of retroviral proteins in the absence of productive infection has significant implications for basic retrovirology, immune responses and gene therapy applications.
Viruses that carry a positive-sense, single-stranded RNA translate their genomes after entering the host cell to produce viral proteins, with the exception of retroviruses. A distinguishing feature of retroviruses is reverse transcription, where the ssRNA genome serves as a template to synthesize a double-stranded DNA copy that subsequently integrates into the host genome. As retroviral RNAs are produced by the host transcriptional machinery and are largely indistinguishable from cellular mRNAs, we investigated the potential of incoming retroviral genomes to express proteins. Here we show through various biochemical methods that HIV-1 genomes are translated after entry, in case of minimal or full-length genomes, envelopes using different cellular entry pathways and in diverse cell types. Our findings challenge the dogma that retroviruses require reverse transcription to produce viral proteins. Synthesis of retroviral proteins in the absence of productive infection has significant implications for basic retrovirology, immune responses and gene therapy applications.
The present study aims to report the currently available epidemiology of focal onset seizures in children aged >1 month to 4 years with the help of a literature review. The terms ‘seizure*’ OR ‘epilepsy’ combined with pediatric and epidemiology terms were used to search Embase, PubMed, and Web of Science up to November 16, 2021. Due to the scarcity of epidemiology data on focal onset seizures, the incidence and prevalence were estimated using the proportion of focal onset seizures in epilepsy patients from the most recently published articles. The estimated annual incidence per 100,000 children of focal onset seizures in children of 0–4 years of age ranged from 25.1 (95 % confidence interval [CI] 18.9–32.7) in the United Kingdom to 111.8 in the United States. The estimated period prevalence of focal onset seizures in children 0–4 years of age ranged from 0.15 % (99 % CI 0.13–0.18) in Canada to 0.61 % in the United States. Neurodevelopmental outcomes and psychiatric disorders were the most commonly reported comorbidities in children with epilepsy of age 0–4 years. Presence of focal onset seizures in children with different epilepsy syndromes needs to be thoroughly considered in the treatment planning of this population of interest.
Human feline leukemia virus subgroup C receptor-related proteins 1 and 2 (FLVCR1 and 2) are members of the major facilitator superfamily1. Their dysfunction is linked to several clinical disorders, including PCARP, HSAN, and Fowler syndrome2–7. Earlier studies concluded that FLVCR1 may function as a putative heme exporter8–12, while FLVCR2 was suggested to act as a heme importer13, yet conclusive biochemical and detailed molecular evidence remained elusive for the function of both transporters14–17. Here, we show that FLVCR1 and FLVCR2 facilitate the transport of choline and ethanolamine across human plasma membranes, utilizing a concentration-driven substrate translocation process. Through structural and computational analyses, we have identified distinct conformational states of FLVCRs and unraveled the coordination chemistry underlying their substrate interactions. Within the binding pocket of both transporters, we identify fully conserved tryptophan and tyrosine residues holding a central role in the formation of cation-π interactions, essential for choline and ethanolamine selectivity. Our findings not only clarify the mechanisms of choline and ethanolamine transport by FLVCR1 and FLVCR2, enhancing our comprehension of disease-associated mutations that interfere with these vital processes, but also shed light on the conformational dynamics of these MFS-type proteins during the transport cycle.
Zielsetzung der vorliegenden Dissertation war die Validierung einer deutschsprachigen Version, der bereits für andere Sprachen validierten Repetitiven Verhaltensskala – Revidiert (RBS-R) für Kinder- und Jugendliche im Alter zwischen 4-17 Jahren. Die RBS-R ist ein aus 43 Items bestehendes, gut untersuchtes Screeninginstrument, welches restriktives, repetitives Verhalten (RRV) erfasst. RRV stellen einen heterogenen Symptomkomplex dar, welcher durch stereotype motorische, sprachliche und kognitive Verhaltensmuster gekennzeichnet ist.
RRV sind neben Abweichungen sozialer Interaktion und Kommunikation eines der Hauptkriterien für eine Autismus-Spektrum-Störung (ASS). RRV sind jedoch nicht nur Teil des Symptomspektrums einer ASS, sondern treten häufig auch bei anderen psychiatrischen Erkrankungen (PE), einer Intelligenzminderung (IM) oder bei altersentsprechend entwickelten Kindern (AE), beispielsweise in bestimmten Phasen des Heranwachsens auf. Bisher wurde die RBS-R fast ausschließlich an ASS untersucht. Es besteht die Notwendigkeit für ein valides und zuverlässiges Messinstrument für den deutschen Sprachraum, welches RRV hinsichtlich ihrer Heterogenität transdiagnostisch erfassen und den Schweregrad der Ausprägung ermitteln kann. Das Ziel dieser Arbeit war, dies durch eine möglichst große und heterogene Stichprobe (n= 948) mit Inklusion von Probanden mit einer ASS (n= 218), IM (n= 120), PE (n= 166) und AE (n = 444) zu gewährleisten. Zur Überprüfung der psychometrischen Eignung erfolgte nach der Adaptation der RBS-R für den deutschen Sprachraum eine Evaluation gemäß den Prinzipien der klassischen Testtheorie, insbesondere hinsichtlich Validität und Reliabilität. Darüber hinaus erfolgte unter Einbeziehung der vier Stichproben eine explorative Faktoranalyse (EFA) um eine geeignete Faktorlösung zu finden. Diese sollte sowohl den Anspruch Klinisch-Tätiger als auch Forschender erfüllen und eine Anwendung der RBS-R auch außerhalb von ASS ermöglichen. Zudem sollten RRV in den unterschiedlichen Kohorten, sowie in Bezug auf Alters- und Geschlechtseffekte bei ASS untersucht werden.
Die Bedeutung der Ergebnisse dieser Arbeit ist, ob der schon breit erforschten Eigenschaften der RBS-R, vor allem im Kontext mit den vorliegenden Studien zu betrachten. Einzigartig für diese deutschsprachige Validierung der RBS-R ist die Diversität und große Anzahl der teilnehmenden Probanden.
Die vorliegende Validierung der RBS-R erbrachte gute Ergebnisse für die Reliabilität und konvergente Validität der Skalen, vergleichbar mit den Ergebnissen vorheriger Studien. Die untersuchte Itemschwierigkeit war relativ gering, was durch die geringe Antwortvarianz in der großen Kohorte der AE erklärbar ist. Die Itemgesamtkorrelation zeigte gute Werte. Auch Items mit niedrigen Ergebnissen für die Itemzustimmung wurden nicht exkludiert. Dies geschah konkordant zum Vorgehen vorheriger Studien und hatte den Hintergrund, eine internationale Vergleichbarkeit des RBS-R beizubehalten. Die EFA bestätigte die gute Anwendbarkeit einer Vielzahl von Faktorlösungen. Wir legten eine 4-Faktorlösung für die deutschsprachige Version der RBS-R fest. Grundlage hierfür war das Bestreben die ursprünglichen Subskalen für eine internationale Vergleichbarkeit so getreu wie möglich beizubehalten. Die 4 Faktoren bildeten treffend RRV niedriger und hoher Ordnung ab. Gegen eine 5- oder 6-Faktorlösung sprach hierbei, dass dies zu Subskalen mit wenig Items und schwachen psychometrischen Eigenschaften führte (Lam et al, kritisiert durch Georgiades et al). Gegen eine 2- oder 3-Faktorlösung sprach die eingeschränkte klinische Interpretierbarkeit durch Subskalen mit vielen kumulierten Items. Hinsichtlich der Kohortenzugehörigkeit kann der RBS-R übereinstimmend mit Fulceri et al valide zwischen RRV in ASS und AE unterscheiden. Eine valide Unterscheidung zwischen ASS, PE und IM konnten wir nicht verifizieren. Betreffend der untersuchten Alterseffekts bestätigte sich, dass RRV bei ASS mit dem Alter abnehmen. Im Gegensatz zu einigen vorherigen Studien, welche keinen Geschlechtsunterschied bezüglich RRV bei ASS fanden, zeigten die männlichen Probanden der ASS Kohorte bei uns häufiger und ausgeprägter RRV.
Background: Spondylodiscitis is a potentially life-threatening infection of the intervertebral disk and adjacent vertebral bodies, with a mortality rate of 2–20%. Given the aging population, the increase in immunosuppression, and intravenous drug use in England, the incidence of spondylodiscitis is postulated to be increasing; however, the exact epidemiological trend in England remains unknown.
Objective: The Hospital Episode Statistics (HES) database contains details of all secondary care admissions across NHS hospitals in England. This study aimed to use HES data to characterise the annual activity and longitudinal change of spondylodiscitis in England.
Methods: The HES database was interrogated for all cases of spondylodiscitis between 2012 and 2019. Data for the length of stay, waiting time, age-stratified admissions, and ‘Finished Consultant Episodes’ (FCEs), which correspond to a patient's hospital care under a lead clinician, were analysed.
Results: In total, 43135 FCEs for spondylodiscitis were identified between 2012 and 2022, of which 97.1% were adults. Overall admissions for spondylodiscitis have risen from 3 per 100,000 population in 2012/13 to 4.4 per 100,000 population in 2020/21. Similarly, FCEs have increased from 5.8 to 10.3 per 100,000 population, in 2012–2013 and 2020/21 respectively. The highest increase in admissions from 2012 to 2021 was recorded for those aged 70–74 (117% increase) and aged 75-59 (133% increase), among those of working age for those aged 60–64 years (91% increase).
Conclusion: Population-adjusted admissions for spondylodiscitis in England have risen by 44% between 2012 and 2021. Healthcare policymakers and providers must acknowledge the increasing burden of spondylodiscitis and make spondylodiscitis a research priority.
Oral e-Poster Presentations - Booth 2: Spine 1 (Trauma&Misc), September 25, 2023, 10:00 AM - 10:40 AM
Background: Spondylodiscitis is a prevalent type of spinal infection, with pyogenic spondylodiscitis being the most common subtype. While antibiotic therapy is the standard treatment, some argue that early surgery can aid in infection clearance, improve survival rates, and prevent long-term complications such as deformities. However, others view early surgery as excessively risky. Due to the high mortality rate of up to 20%, it is crucial to determine the most effective treatment.
Methods: The primary objective of this study was to compare the mortality rate, relapse rate, and length of hospital stay for conservative and early surgical treatments of pyogenic spondylodiscitis, including determinants of outcomes. The study was registered on PROSPERO with the registration number CRD42022312573. The databases MEDLINE, Embase, Scopus, PubMed, and JSTOR were searched for original studies comparing conservative and early surgical treatments of pyogenic spondylodiscitis. The included studies were assessed using the ROBINS-1 tool, and eligible studies were evaluated using meta-analyses, influence, and regression analyses.
Results: The systematic review included 31 studies. The meta-analysis, which had a pooled sample size of 10,954 patients from 21 studies, found that the pooled mortality rate among patients treated with early surgery was 8%, while the rate was 13% for patients treated conservatively. The mean proportion of relapse/failure was 15% for patients treated with early surgery and 21% for those treated conservatively. Furthermore, the analysis concluded that early surgical treatment is associated with a 40% and 39% risk reduction in relapse/failure and mortality rates, respectively, when compared to conservative management. Additionally, early surgical treatment resulted in a 7.75-day reduction in length of hospital stay per patient (p<0.01). The most highly significant predictors of treatment outcome were found to be intravenous drug use, diabetes, the presence of an epidural abscess, positive cultures, location of infection, and age (p<0.001).
Conclusions: Overall, early surgical management was found to be consistently significantly more effective than conservative management in terms of relapse/failure and mortality rates when treating pyogenic spondylodiscitis, particularly for non-spinal epidural abscess spondylodiscitis.
Introduction: Spondylodiscitis is the commonest form of infectious disease of the spine and harbours a high mortality rate of up to 20%. Recent demographic trends in Germany, such as an aging population, immunosuppression, and intravenous drug use, suggest that the incidence of spondylodiscitis may be on the rise. However, the exact epidemiological development of the disease remains uncertain. This study aims to analyse the burden on the tertiary healthcare system in Germany using data from the Federal Statistical Office of Germany (FSOG) database.
Materials and Methods: All cases of spondylodiscitis diagnosed between 2005 and 2021 were identified from the FSOG database. The study characterised the mean duration of hospital stays, total and population-adjusted number of diagnoses made, age-stratified incidence, and outcomes of hospitalised patients.
Results: A total of 131,982 diagnoses for spondylodiscitis were identified between 2005 and 2021. The number of diagnoses for spondylodiscitis has doubled during this period, from 5.4/100,000 population in 2005 to 11/100,000 population in 2021. The highest increase in admissions was recorded for those aged 90 years and above (+1307%), 80-89 (+376%) and 70-79 (+99%). Hospital discharges to rehabilitation facilities have increased by 160%, and discharges against medical advice by 91%. On the other hand, during the analysed period, the in-hospital mortality rate has decreased by 52%.
Conclusion: The population-adjusted incidence of spondylodiscitis in Germany has more than doubled between 2005 and 2021, highlighting the clinical relevance of this disease. During the same period, in-hospital mortality dropped by half. These findings suggest the need for further investigation into optimal therapy, particularly the role and timing of surgical treatment.
Investigators in the cognitive neurosciences have turned to Big Data to address persistent replication and reliability issues by increasing sample sizes, statistical power, and representativeness of data. While there is tremendous potential to advance science through open data sharing, these efforts unveil a host of new questions about how to integrate data arising from distinct sources and instruments. We focus on the most frequently assessed area of cognition - memory testing - and demonstrate a process for reliable data harmonization across three common measures. We aggregated raw data from 53 studies from around the world which measured at least one of three distinct verbal learning tasks, totaling N = 10,505 healthy and brain-injured individuals. A mega analysis was conducted using empirical bayes harmonization to isolate and remove site effects, followed by linear models which adjusted for common covariates. After corrections, a continuous item response theory (IRT) model estimated each individual subject’s latent verbal learning ability while accounting for item difficulties. Harmonization significantly reduced inter-site variance by 37% while preserving covariate effects. The effects of age, sex, and education on scores were found to be highly consistent across memory tests. IRT methods for equating scores across AVLTs agreed with held-out data of dually-administered tests, and these tools are made available for free online. This work demonstrates that large-scale data sharing and harmonization initiatives can offer opportunities to address reproducibility and integration challenges across the behavioral sciences.
Highlights
• Brain connectivity states identified by cofluctuation strength.
• CMEP as new method to robustly predict human traits from brain imaging data.
• Network-identifying connectivity ‘events’ are not predictive of cognitive ability.
• Sixteen temporally independent fMRI time frames allow for significant prediction.
• Neuroimaging-based assessment of cognitive ability requires sufficient scan lengths.
Abstract
Human functional brain connectivity can be temporally decomposed into states of high and low cofluctuation, defined as coactivation of brain regions over time. Rare states of particularly high cofluctuation have been shown to reflect fundamentals of intrinsic functional network architecture and to be highly subject-specific. However, it is unclear whether such network-defining states also contribute to individual variations in cognitive abilities – which strongly rely on the interactions among distributed brain regions. By introducing CMEP, a new eigenvector-based prediction framework, we show that as few as 16 temporally separated time frames (< 1.5% of 10 min resting-state fMRI) can significantly predict individual differences in intelligence (N = 263, p < .001). Against previous expectations, individual's network-defining time frames of particularly high cofluctuation do not predict intelligence. Multiple functional brain networks contribute to the prediction, and all results replicate in an independent sample (N = 831). Our results suggest that although fundamentals of person-specific functional connectomes can be derived from few time frames of highest connectivity, temporally distributed information is necessary to extract information about cognitive abilities. This information is not restricted to specific connectivity states, like network-defining high-cofluctuation states, but rather reflected across the entire length of the brain connectivity time series.