Electrocardiography and echocardiography in athletic heart imagining

The aim of the study was evaluation of electrocardiographic and echocardiographic parameters in athletes. „Athletic heart” characteristics were compared with fit persons’ heart. 96 athletes participated in the study. Sportsmen were divided into: static (S), dynamic (D) and composite (SD) exercise groups and Polish (I), European (II), World (III) champions. 30 students from Sport Academy formed the control group (K). Electrocardiographic and echocardiographic examination were performed in everyone. As regards the type of exercise, the end-systolic left ventricular (LV) dimension was smaller in S in comparison with D and SD (28.9 vs 32.2 and 32.68 mm; P<0.05). LV mass was bigger in D in comparison with K (273.2 vs 218.6 g; P<0.05). Medium Pulmonary Artery Pressure (MPAP) in S and SD was lower in respect to D and K (11.75; 11.08 vs 15.52; 17.43 mm Hg; P<0.05). We observed lower heart rate in D, SD in comparison with K (58.64; 60.54 vs 68.8; P<0.05), bigger R wave amplitude in V5 (RV5) (21.65; 23.5 vs 15.03 mm; P<0.05) and V6 (RV6) (23.5 vs 15.3 mm; P<0.05) in group S in respect to K. LV mass was bigger in III than in K (261.3 vs 218.6 g; P<0.05). MPAP was lower in I and II in comparison with K (11.42; 13.13 vs 17.43 mmHg; P<0.05). HR was lower in categories I, II than in K (61.32; 60.13 vs 68.8; P<0.05), RV5 was bigger in I in comparison with K (19.5 vs 15.03 mm; P<0.05). The electrocardiography and echocardiography proves to find some significant differences between athletic and fit persons’ heart especially as concerns MPAP, RV5, RV6 values

The landscapemetrics and motif packages for measuring landscape patterns and processes

This book chapter emphasizes the significance of categorical raster data in ecological studies, specifically land use or land cover (LULC) data, and highlights the pivotal role of landscape metrics and pattern-based spatial analysis in comprehending environmental patterns and their dynamics. It explores the usage of R packages, particularly landscapemetrics and motif, for quantifying and analyzing landscape patterns using LULC data from three distinct European regions. It showcases the computation, visualization, and comparison of landscape metrics, while also addressing additional features such as patch value extraction, sub-region sampling, and moving window computation. Furthermore, the chapter delves into the intricacies of pattern-based spatial analysis, explaining how spatial signatures are computed and how the motif package facilitates comparisons and clustering of landscape patterns. The chapter concludes by discussing the potential of customization and expansion of the presented tools

Air temperature changes in Toruń (central Poland) from 1871 to 2010

The article presents a detailed analysis of changes in air temperature in Toruń in the period 1871–2010 on the basis of homogenised monthly, seasonal and annual air temperature series which have been newly constructed (i.e. extended by the 50 years of 1871–1920). Over the 140-year study period, a sizeable and statistically significant increase of 0.1 °C per decade was found in the air temperature in Toruń. The greatest increases occurred for spring and winter, at 0.12 and 0.11 °C, respectively. A lesser warming, meanwhile, was recorded for autumn (0.10 °C/10 years), and particularly for summer (0.07 °C/10 years). The air temperature trends are statistically significant for all seasons. Air temperature differences between the monthly averages of three analysed subperiods (1871–1900, 1901–1950 and 1951–2010) and averages for the entire period under review rarely exceeded ± 0.5 °C. In all of these periods, the highest average air temperatures occurred in July and the lowest in January. The period of 1981–2010 had the highest frequency of occurrence of very and extremely warm seasons and years. Meanwhile, the highest frequency of very and extremely cool seasons and years was recorded in the 1940s and in the nineteenth century. In the period of 1871–2010, winters shortened markedly (by 7%) and summers lengthened by 3.8%. All of the presented aspects of air temperature in Toruń, which is representative of the climate of central Poland, are in close agreement with the findings of analogous studies of the same for other areas of Poland and Central Europe

Impact of muscle mass on survival of patients with hepatocellular carcinoma after liver transplantation beyond the Milan criteria

Background: Access to the liver transplant waitlist for patients with hepatocellular carcinoma (HCC) depends on tumour presentation, biology, and response to treatments. The Milan Criteria (MC) represent the benchmark for expanded criteria that incorporate additional prognostic factors. The purpose of this study was to determine the added value of skeletal muscle index (SMI) in HCC patients beyond the MC. Method: Patients with HCC that were transplanted beyond the MC were included in this retrospective multicentre study. SMI was quantified using the Computed Tomography (CT) within 3&nbsp;months prior to transplantation. Cox regression models were used to identify predictors of overall survival (OS). The discriminative performance of SMI extended Metroticket 2.0 and AFP models was also assessed. Results: Out of 889 patients transplanted outside the MC, 528 had a CT scan within 3&nbsp;months prior to liver transplantation (LT), of whom 176 (33%) were classified as sarcopenic. The median time between assessment of the SMI and LT was 1.8&nbsp;months (IQR: 0.77–2.67). The median follow-up period was 5.1 95% CI [4.7–5.5] years, with a total of 177 recorded deaths from any cause. In a linear regression model with SMI as the dependent variable, only male gender (8.55 95% CI [6.51–10.59], P&nbsp;&lt;&nbsp;0.001) and body mass index (0.74 95% CI [0.59–0.89], P&nbsp;&lt;&nbsp;0.001) were significant. Univariable survival analysis of patients with sarcopenia versus patients without sarcopenia showed a significant difference in OS (HR 1.44 95% CI [1.07&nbsp;−&nbsp;1.94], P&nbsp;=&nbsp;0.018). Also the SMI was significant (HR 0.98 95% CI [0.96–0.99], P&nbsp;=&nbsp;0.014). The survival difference between the lowest SMI quartile versus the highest SMI quartile was significant (log-rank: P&nbsp;=&nbsp;0.005) with 5&nbsp;year OS of 57% and 71%, respectively. Data from 423 patients, describing 139 deaths, was used for multivariate analysis. Both sarcopenia (HR 1.45 95% CI [1.02&nbsp;−&nbsp;2.05], P&nbsp;=&nbsp;0.036) and SMI were (HR 0.98 95% CI [0.95–0.99], P&nbsp;=&nbsp;0.035) significant. On the survival scale this translates to a 5&nbsp;year OS difference of 11% between sarcopenia and no sarcopenia. Whereas for SMI, this translates to a survival difference of 8% between first and third quartiles for both genders. Conclusions: Overall, we can conclude that higher muscle mass contributes to a better long-term survival. However, for individual patients, low muscle mass should not be considered an absolute contra-indication for LT as its discriminatory performance was limited

Clonal replacement sustains long-lived germinal centers primed by respiratory viruses

Germinal centers (GCs) form in secondary lymphoid organs in response to infection and immunization and are the source of affinity-matured B cells. The duration of GC reactions spans a wide range, and long-lasting GCs (LLGCs) are potentially a source of highly mutated B cells. We show that rather than consisting of continuously evolving B cell clones, LLGCs elicited by influenza virus or SARS-CoV-2 infection in mice are sustained by progressive replacement of founder clones by naive-derived invader B cells that do not detectably bind viral antigens. Rare founder clones that resist replacement for long periods are enriched in clones with heavily mutated immunoglobulins, including some with very high affinity for antigen, that can be recalled by boosting. Our findings reveal underappreciated aspects of the biology of LLGCs generated by respiratory virus infection and identify clonal replacement as a potential constraint on the development of highly mutated antibodies within these structures

Cytoskeletal control of B cell responses to antigens.

The actin cytoskeleton is essential for cell mechanics and has increasingly been implicated in the regulation of cell signalling. In B cells, the actin cytoskeleton is extensively coupled to B cell receptor (BCR) signalling pathways, and defects of the actin cytoskeleton can either promote or suppress B cell activation. Recent insights from studies using single-cell imaging and biophysical techniques suggest that actin orchestrates BCR signalling at the plasma membrane through effects on protein diffusion and that it regulates antigen discrimination through the biomechanics of immune synapses. These mechanical functions also have a role in the adaptation of B cell subsets to specialized tasks during antibody responses