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Vegetation Changes since the late Middle Ages around Bern, Switzerland
Get PDFWhile the impacts of modern farming and land use practices on climate and biodiversity since 1900 are well-studied in Western and Central Europe, less is known about the preceding transitional period of the 18th and 19th century. By combining information from both natural and historical archives, this study strives to understand the impacts of 18th century agrarian modernisation on Central European ecosystems. Here we present a multi-proxy palaeoecological study from Egelsee (548 m a.s.l., within the city of Bern, Switzerland) spanning the late Middle Ages to the early 20th century. We use pollen, charcoal, dung fungal spores and spheroidal carbonaceous particles (SCPs) as proxies for vegetation and land use changes as well as radiocarbon wiggle matching for the chronology. Our pollen record suggests a shift from cereal cultivation towards grazing from the 16th century onwards, and from the 18th century towards fertilised meadows for animal husbandry. The pollen-inferred decrease of woods since 1700 quantitatively confirms the historically described timber scarcity in the lowlands of Switzerland, while the positive correlation between climate indices and our pollen-inferred cereal production suggests a certain vulnerability of societies to subsistence crises. From the 1850s, urbanisation rapidly altered the vegetation from an open agricultural landscape to a highly urbanised area, leading to a decline of biodiversity towards the present. This study shows that historically well-documented changes in agricultural practices in livestock farming and fodder production, and later urbanisation, can likewise be reconstructed with palaeoecological approaches. Our interdisciplinary approach provides new insights into how agricultural innovations affected vegetation and ecosystems during the past 500 years
Patients with ankylosing spondylitis present a distinct CD8 T cell subset with osteogenic and cytotoxic potential.
Get PDFOBJECTIVES
Ankylosing spondylitis (AS) is a chronic inflammatory rheumatic disease affecting mainly the axial skeleton. Peripheral involvement (arthritis, enthesitis and dactylitis) and extra-musculoskeletal manifestations, including uveitis, psoriasis and bowel inflammation, occur in a relevant proportion of patients. AS is responsible for chronic and severe back pain caused by local inflammation that can lead to osteoproliferation and ultimately spinal fusion. The association of AS with the human leucocyte antigen-B27 gene, together with elevated levels of chemokines, CCL17 and CCL22, in the sera of patients with AS, led us to study the role of CCR4+ T cells in the disease pathogenesis.
METHODS
CD8+CCR4+ T cells isolated from the blood of patients with AS (n=76) or healthy donors were analysed by multiparameter flow cytometry, and gene expression was evaluated by RNA sequencing. Patients with AS were stratified according to the therapeutic regimen and current disease score.
RESULTS
CD8+CCR4+ T cells display a distinct effector phenotype and upregulate the inflammatory chemokine receptors CCR1, CCR5, CX3CR1 and L-selectin CD62L, indicating an altered migration ability. CD8+CCR4+ T cells expressing CX3CR1 present an enhanced cytotoxic profile, expressing both perforin and granzyme B. RNA-sequencing pathway analysis revealed that CD8+CCR4+ T cells from patients with active disease significantly upregulate genes promoting osteogenesis, a core process in AS pathogenesis.
CONCLUSIONS
Our results shed light on a new molecular mechanism by which T cells may selectively migrate to inflammatory loci, promote new bone formation and contribute to the pathological ossification process observed in AS
Letter to the Editor-Prehospital intubation in trauma patients: Remaining tightrope walk.
No full textExpectancy and attention bias to spiders: Dissecting anticipation and allocation processes using ERPs.
Get PDFThe current registered report focused on the temporal dynamics of the relationship between expectancy and attention toward threat, to better understand the mechanisms underlying the prioritization of threat detection over expectancy. In the current event-related potentials experiment, a-priori expectancy was manipulated, and attention bias was measured, using a well-validated paradigm. A visual search array was presented, with one of two targets: spiders (threatening) or birds (neutral). A verbal cue stating the likelihood of encountering a target preceded the array, creating congruent and incongruent trials. Following cue presentation, preparatory processes were examined using the contingent negative variation (CNV) component. Following target presentation, two components were measured: early posterior negativity (EPN) and late positive potential (LPP), reflecting early and late stages of natural selective attention toward emotional stimuli, respectively. Behaviorally, spiders were found faster than birds, and congruency effects emerged for both targets. For the CNV, a non-significant trend of more negative amplitudes following spider cues emerged. As expected, EPN and LPP amplitudes were larger for spider targets compared to bird targets. Data-driven, exploratory, topographical analyses revealed different patterns of activation for bird cues compared to spider cues. Furthermore, 400-500 ms post-target, a congruency effect was revealed only for bird targets. Together, these results demonstrate that while expectancy for spider appearance is evident in differential neural preparation, the actual appearance of spider target overrides this expectancy effect and only in later stages of processing does the cueing effect come again into play
ERS International Congress 2023: highlights from the Paediatrics Assembly.
Get PDFRespiratory health in children is essential for general wellbeing and healthy development in the short and long term. It is well known that many respiratory diseases in adulthood have their origins in early life, and therefore research on prevention of respiratory diseases and management of children with respiratory diseases will benefit patients during the full life course. Scientific and clinical advances in the field of respiratory health are moving at a fast pace. This article summarises some of the highlights in paediatric respiratory medicine presented at the hybrid European Respiratory Society (ERS) International Congress 2023 which took place in Milan (Italy). Selected sessions are summarised by Early Career Members of the Paediatrics Assembly (Assembly 7) under the supervision of senior ERS officers, and cover a wide range of research areas in children, including respiratory physiology and sleep, asthma and allergy, cystic fibrosis, respiratory infection and immunology, neonatology and intensive care, respiratory epidemiology and bronchology
Seed priming with gas plasma-activated water in Ethiopia's "orphan" crop tef (Eragrostis tef).
Get PDFSeed priming with gas plasma-activated water results in an increased ageing resilience in Eragrostis tef grains compared to a conventional hydropriming protocol. Tef (Eragrostis tef) is a cereal grass and a major staple crop of Ethiopia and Eritrea. Despite its significant importance in terms of production, consumption, and cash crop value, tef has been understudied and its productivity is low. In this study, tef grains have undergone different priming treatments to enhance seed vigour and seedling performance. A conventional hydropriming and a novel additive priming technology with gas plasma-activated water (GPAW) have been used and tef grains were then subjected to germination performance assays and accelerated ageing. Tef priming increases the germination speed and vigour of the grains. Priming with GPAW retained the seed storage potential after ageing, therefore, presenting an innovative environmental-friendly seed technology with the prospect to address variable weather conditions and ultimately food insecurity. Seed technology opens new possibilities to increase productivity of tef crop farming to achieve a secure and resilient tef food system and economic growth in Ethiopia by sustainable intensification of agriculture beyond breeding
Combined monthly GRACE-FO gravity fields for a Global Gravity-based Groundwater Product
Get PDFThe Combination Service for Time-variable Gravity fields (COST-G) operationally provides combinations of monthly Earth gravity field models derived from observations of the microwave ranging instrument of the GRACE Follow-on (GRACE-FO) satellite mission, applying the quality control and combination methodology originally developed by the Horizon 2020 project European Gravity Service for Improved Emergency Management for the data of the GRACE satellites. In the frame of the follow-up Horizon 2020 project Global Gravity-based Groundwater Product (G3P), the GRACE-FO combination is used to derive global grids of groundwater storage anomalies. To meet the user requirements and achieve optimal signal-to-noise ratio, the combination has been further developed and extended to incorporate:
• new time-series based on the alternative accelerometer transplant product generated in the frame of the project by the Institute of Geodesy at the Graz University of Technology, which specifically improves the estimation of the C30 coefficient and also reduces the noise at medium to short wavelengths, and
• the new time-series AIUB–GRACE-FO–RL02 of monthly GRACE-FO gravity fields, which is derived at the Astronomical Institute of the University of Bern by applying empirical noise modelling techniques. The COST-G quality control confirms the consistency of the contributing GRACE-FO time-series concerning the signal amplitude of seasonal hydrology in large river basins and the secular mass change in polar regions, but it also indicates rather diverse noise characteristics. The difference in the noise levels is taken into account in the combination process by relative weights derived by variance component estimation on the solution level. The weights are expected to be inverse proportional to the noise levels of the individual gravity field solutions. However, this expectation is violated when applying the weighting scheme as developed for the GRACE combination. The reason is found in the high-order coefficients of the gravity field, which are poorly determined from the low–low range-rate observations due to the observation geometry and suffer from aliasing due to the malfunctioning accelerometer onboard one of the GRACE-FO satellites. Hence, for the final G3P-combination a revised weighting scheme is applied where the gravity field coefficients beyond order 60 are excluded from the determination of the weights. The quality of the combined gravity fields is assessed by comparison of the noise content and the signal-to-noise ratio with the individual time-series. Independent validation is provided by the COST-G validation centre at the GFZ German Research Centre for Geosciences, where orbit fits of the low-flying Gravity and steady-state Ocean Circulation Explorer satellite are performed that confirm the high quality of the combined GRACE-FO gravity fields
Long-term night-to-night variability of sleep-disordered breathing using a radar-based home sleep apnea test: a prospective cohort study.
No full textSTUDY OBJECTIVES
Night-to-night variability of sleep-disordered breathing (SDB) limits the diagnostic accuracy of a single measurement. Multiple recordings using a reliable, affordable method could reduce the uncertainty and avoid misdiagnosis, which could be possible with radar-based home sleep apnea testing (HSAT).
METHODS
We recruited consecutive patients with suspected SDB and performed contactless radar-based HSAT with automated scoring (Sleepiz One) over ten nights. During the first night, patients were simultaneously measured with peripheral-arterial tonometry.
RESULTS
Twenty-four of the 28 included patients could achieve a minimum of four measurements. The failure rate was 16% (201 of 238 measurements). The apnea-hypopnea index (AHI) and oxygen desaturation index were consistently lower with radar-based HSAT compared to peripheral arterial tonometry. The variability of the AHI was considerable, with a standard error of measurement of 5.2/h (95%CI 4.6-5.7/h) and a minimal detectable difference of 14.4/h (95%CI 12.7-15.9/h). Alcohol consumption partially accounted for the variability, with an AHI increase of 1.7/h (95%CI 0.6-2.8/h) for each standard drink. Based on a single measurement, 17% of patients were misdiagnosed, and 32% were misclassified for SDB severity. After five measurements, the mean AHI of the measured nights stabilized with no evidence of substantial changes with additional measurements.
CONCLUSIONS
Night-to-night variability is considerable and stable over ten nights. HSAT using radar-based methods over multiple nights is feasible and well tolerated by patients. It could offer lower costs and allow for multiple-night testing to increase accuracy. However, validation and reducing the failure rate are necessary for implementation in the clinical routine.
CLINICAL TRIAL REGISTRATION
"Recording of Multiple Nights Using a New Contactless Device (Sleepiz One Connect) in Obstructive Sleep Apnea", ClinicalTrials.gov, NCT05134402
Clinical Characteristics and Outcomes of Patients Screened for Transcatheter Tricuspid Valve Replacement: The TriACT Registry.
No full textBACKGROUND
Transcatheter tricuspid valve replacement (TTVR) abolishes tricuspid regurgitation (TR) and has emerged as a definitive treatment for TR.
OBJECTIVES
The purpose of this multicenter, observational study was to determine the clinical characteristics and short-term outcomes of patients with TR screened for TTVR.
METHODS
Patients underwent TTVR screening at 7 centers on a compassionate-use basis. The primary endpoints were NYHA functional class and TR grade at 30-day follow-up. Secondary endpoints included all-cause mortality, heart failure hospitalization, technical success, and reasons for TTVR screening failure.
RESULTS
A total of 149 patients (median age 79 years [Q1-Q3: 72-84 years], 54% women) underwent TTVR screening. The TTVR screening failure rate was 74%, mainly related to large tricuspid annular diameter. Patients undergoing TTVR (n = 38) had significant functional improvements (NYHA functional class I or II from 21% to 68%; P < 0.001), with TR ≤1+ in 97% at 30-day follow-up (P < 0.001 from baseline). Technical success was achieved in 91%, with no intraprocedural mortality or conversion to surgery. At 30-day follow-up, mortality was 8%, heart failure hospitalization 5%, major bleeding 18%, and reintervention 9%. Patients who failed screening for TTVR and subsequently underwent "bailout" transcatheter edge-to-edge repair (n = 26) had favorable outcomes (NYHA functional class I or II from 27% to 58%; P < 0.001), with TR ≤1+ in 43% at 30-day follow-up (P < 0.001 from baseline).
CONCLUSIONS
This first real-world report of TTVR screening demonstrated a high screening failure rate, mainly related to large tricuspid annular diameter. Patients undergoing TTVR had superior TR reduction and symptom alleviation compared with bailout tricuspid transcatheter edge-to-edge repair, at the cost of greater procedural complications
Machine learning approaches to enhance diagnosis and staging of patients with MASLD using routinely available clinical information.
Get PDFAIMS
Metabolic dysfunction Associated Steatotic Liver Disease (MASLD) outcomes such as MASH (metabolic dysfunction associated steatohepatitis), fibrosis and cirrhosis are ordinarily determined by resource-intensive and invasive biopsies. We aim to show that routine clinical tests offer sufficient information to predict these endpoints.
METHODS
Using the LITMUS Metacohort derived from the European NAFLD Registry, the largest MASLD dataset in Europe, we create three combinations of features which vary in degree of procurement including a 19-variable feature set that are attained through a routine clinical appointment or blood test. This data was used to train predictive models using supervised machine learning (ML) algorithm XGBoost, alongside missing imputation technique MICE and class balancing algorithm SMOTE. Shapley Additive exPlanations (SHAP) were added to determine relative importance for each clinical variable.
RESULTS
Analysing nine biopsy-derived MASLD outcomes of cohort size ranging between 5385 and 6673 subjects, we were able to predict individuals at training set AUCs ranging from 0.719-0.994, including classifying individuals who are At-Risk MASH at an AUC = 0.899. Using two further feature combinations of 26-variables and 35-variables, which included composite scores known to be good indicators for MASLD endpoints and advanced specialist tests, we found predictive performance did not sufficiently improve. We are also able to present local and global explanations for each ML model, offering clinicians interpretability without the expense of worsening predictive performance.
CONCLUSIONS
This study developed a series of ML models of accuracy ranging from 71.9-99.4% using only easily extractable and readily available information in predicting MASLD outcomes which are usually determined through highly invasive means
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