Search Results (25)

Background/Objectives: Interferon alpha (IFNα) remains a cornerstone in the management of Philadelphia-negative myeloproliferative neoplasms (Ph-neg MPNs), yet its immunomolecular impact over time is not fully elucidated. The aim of the study was to explore how IFNα therapy dynamically reshapes immune and gene profiles in Ph-neg MPNs and assess their potential as treatment-related biomarkers. Methods: This single-center, prospective, observational study included a translational substudy conducted within a previously established clinical cohort of 44 IFNα-treated patients, selecting a representative subset of 18 individuals stratified by treatment duration. Cytokine profiling (ELISA) and gene expression (RT-qPCR) analysis were performed using plasma and peripheral blood mononuclear cells (PBMCs), respectively. Results: Patients with prolonged exposure showed reduced pro-inflammatory cytokines and downregulation of inflammatory-signalling STAT1/STAT3 expression. In contrast, those with intermediate exposure exhibited transient TH2/regulatory cytokine peaks and upregulation of immunomodulatory genes such as CXCL10, SOCS3, and TNFAIP3. Spearman correlations revealed functional associations between cytokine and gene expression patterns including notable links such as STAT1–IL-13 and MYB–IL-13. Conclusions: These results describe a sequential immune reprogramming driven by IFNα, supporting the development of dynamic immunomolecular biomarkers of response in Ph-neg MPNs. Full article

Ultramarathon running elicits a profound inflammatory response, characterized by significant increases in interleukin-6 (IL-6) and C-reactive protein (CRP), with comparatively modest changes in tumor necrosis factor-alpha (TNF-α). We reviewed approximately 80 field studies of ultramarathon events (distances >42.2 km) that measured IL-6, CRP, and TNF-α before and after races. IL-6 typically spiked immediately post-race—often rising dozens or even thousands of times above baseline—then rapidly declined, usually returning to near baseline within 24–48 h. CRP, an acute-phase protein, exhibited a slower, sustained elevation, peaking 24–72 h after race completion and remaining above baseline for 2–3 days before gradually returning to normal. TNF-α responses were variable: some studies reported small but significant post-race increases (roughly 1.2–1.7-fold above baseline), while others found no significant change in circulating TNF-α despite the extreme effort. Longer race durations and distances generally correlated with higher peak IL-6 and CRP levels. Experienced ultramarathon runners tended to exhibit attenuated inflammatory responses compared with less-trained individuals, and anti-inflammatory cytokines (e.g., IL-10) increased in tandem with IL-6 in well-trained athletes, helping to mitigate TNF-α elevations. In total, 28 studies were included in the final synthesis, and their quality was assessed using the Newcastle–Ottawa Scale. Visual synthesis tools, including a PRISMA flowchart and time course plots, are provided to enhance the narrative’s interpretability. In summary, ultramarathon running elicits a robust systemic inflammatory response with distinct temporal patterns for IL-6, CRP, and TNF-α. These findings have important implications for athlete recovery, monitoring, and understanding the physiological limits of the inflammatory response to extreme endurance stress. Full article

Background/Objectives: The aim of the study is to investigate the role of microRNA-17 (miRNA-17), tumor necrosis factor-alpha (TNF-α), and interleukin-6 (IL-6) in the pathogenesis of lumbar degenerative disc disease (LDDD). The goal is to explore how miRNA-17 regulates inflammation and apoptosis within the intervertebral discs, with a particular focus on its involvement in inflammatory pathways via NF-κB signaling. This research seeks to uncover the molecular mechanisms that contribute to LDDD and its associated chronic lower back pain and disability. Methods: A case–control study was conducted, involving 110 patients diagnosed with LDDD and 17 healthy control individuals. Serum levels of miRNA-17, TNF-α, and IL-6 were measured using quantitative real-time PCR and enzyme-linked immunosorbent assays (ELISAs). The patients were further categorized based on the severity of their condition using the Oswestry Disability Index (ODI), which classified them into five subgroups. The correlation between miRNA-17 expression, pro-inflammatory cytokines, and disease severity was analyzed statistically. Results: The results demonstrated a significant downregulation of microRNA-17 in patients with LDDD compared to healthy controls. Inflammatory markers TNF-α and IL-6 were found to be significantly elevated in the patient group. A peak in inflammation and miRNA-17 expression was observed in patients with moderate to severe disability (ODI Grade 3), while inflammation levels decreased in more advanced stages of the disease (ODI Grades 4 and 5), suggesting a possible shift in disease dynamics. Conclusions: This study demonstrates that miRNA-17 plays a regulatory role in inflammation during the progression of LDDD, particularly through the modulation of TNF-α and IL-6 levels. The findings indicate that inflammation is most pronounced in the mid-stages of LDDD, while the later stages are characterized by structural damage rather than ongoing inflammation. These insights could help guide future therapeutic strategies aimed at targeting the molecular mechanisms underlying LDDD, potentially improving patient outcomes. Full article

Objectives. Brain–behavior connections are a new means to evaluate sports performance. This electroencephalogram (EEG) study aims to estimate endurance exercise performance by investigating eigenvalue trends and comparing their sensitivity and linearity. Methods. Twenty-three cross-country skiers completed endurance cycling tasks. Twenty-four-channel full-brain EEG signals were recorded in the motor phase and recovery phase continuously. Eighteen EEG eigenvalues calculation methods were collected, commonly used in previous research. Time-frequency, band power, and nonlinear analyses were used to calculate the EEG eigenvalues. Their regression coefficients and correlation coefficients were calculated and compared, with the linear regression method. Results. The time-frequency eigenvalues shift slightly throughout the test. The power eigenvalues changed significantly before and after motor and recovery, but the linearity was not satisfactory. The sensitivity and linearity of the nonlinear eigenvalues were stronger than the other eigenvalues. Of all eigenvalues, Shannon entropy showed completely non-overlapping distribution intervals in the regression coefficients of the two phases, which were −0.1474 ± 0.0806 s⁻¹ in the motor phase and 0.2560 ± 0.1365 s⁻¹ in the recovery phase. Shannon entropy amplitude decreased more in the F region of the brain than in the other regions. Additionally, the higher the level of sport, the slower the decline in Shannon entropy of the athlete. Conclusions. The Shannon entropy method provided more accurate estimations for endurance exercise performance compared to other eigenvalues. Full article

Vegetation biodiversity in mountainous regions is controlled by altitudinal gradients and their corresponding microclimate. Higher temperatures, shorter snow cover periods, and high variability in the precipitation regime might lead to changes in vegetation distribution in mountains all over the world. In this study, we evaluate vegetation distribution along an altitudinal gradient (1334–1667 m.a.s.l.) in the Zao Mountains, northeastern Japan, by means of alpha diversity indices, including species richness, the Shannon index, and the Simpson index. In order to assess vegetation species and their characteristics along the mountain slope selected, fourteen 50 m × 50 m plots were selected at different altitudes and scanned with RGB cameras attached to Unmanned Aerial Vehicles (UAVs). Image analysis revealed the presence of 12 dominant tree and shrub species of which the number of individuals and heights were validated with fieldwork ground truth data. The results showed a significant variability in species richness along the altitudinal gradient. Species richness ranged from 7 to 11 out of a total of 12 species. Notably, species such as Fagus crenata, despite their low individual numbers, dominated the canopy area. In contrast, shrub species like Quercus crispula and Acer tschonoskii had high individual numbers but covered smaller canopy areas. Tree height correlated well with canopy areas, both representing tree size, which has a strong relationship with species diversity indices. Species such as F. crenata, Q. crispula, Cornus controversa, and others have an established range of altitudinal distribution. At high altitudes (1524–1653 m), the average shrubs’ height is less than 4 m, and the presence of Abies mariesii is negligible because of high mortality rates caused by a severe bark beetle attack. These results highlight the complex interactions between species abundance, canopy area, and altitude, providing valuable insights into vegetation distribution in mountainous regions. However, species diversity indices vary slightly and show some unusually low values without a clear pattern. Overall, these indices are higher at lower altitudes, peak at mid-elevations, and decrease at higher elevations in the study area. Vegetation diversity indices did not show a clear downward trend with altitude but depicted a vegetation composition at different altitudes as controlled by their surrounding environment. Finally, UAVs showed their significant potential for conducting large-scale vegetation surveys reliably and in a short time, with low costs and low manpower. Full article

Hypnotic phenomena exhibit significant inter-individual variability, with some individuals consistently demonstrating efficient responses to hypnotic suggestions, while others show limited susceptibility. Recent neurophysiological studies have added to a growing body of research that shows variability in hypnotic susceptibility is linked to distinct neural characteristics. Building on this foundation, our previous work identified that individuals with high and low hypnotic susceptibility can be differentiated based on the arrhythmic activity observed in resting-state electrophysiology (rs-EEG) outside of hypnosis. However, because previous work has largely focused on mean spectral characteristics, our understanding of the variability over time of these features, and how they relate to hypnotic susceptibility, is still limited. Here we address this gap using a time-resolved assessment of rhythmic alpha peaks and arrhythmic components of the EEG spectrum both prior to and following hypnotic induction. Using multivariate pattern classification, we investigated whether these neural features differ between individuals with high and low susceptibility to hypnosis. Specifically, we used multivariate pattern classification to investigate whether these non-stationary neural features could distinguish between individuals with high and low susceptibility to hypnosis before and after a hypnotic induction. Our analytical approach focused on time-resolved spectral decomposition to capture the intricate dynamics of neural oscillations and their non-oscillatory counterpart, as well as Lempel–Ziv complexity. Our results show that variations in the alpha center frequency are indicative of hypnotic susceptibility, but this discrimination is only evident during hypnosis. Highly hypnotic-susceptible individuals exhibit higher variability in alpha peak center frequency. These findings underscore how dynamic changes in neural states related to alpha peak frequency represent a central neurophysiological feature of hypnosis and hypnotic susceptibility. Full article

Background: The aim of this study was to examine the effect of applying synchronized music and appropriate music selection on motivation for exercise and achieving better results in individuals of different fitness levels. Methods: The study included a total of 20 female participants, who for certain analyses were divided into two groups with slightly different levels of aerobic fitness: students from the Faculty of Sport and Physical Education (n = 10, age 23.0 ± 2.8), and middle-aged adult women exercising recreationally (n = 10, age 38.3 ± 11.6). Cardiopulmonary exercise testing (CPET) was conducted using a treadmill and gas analysis equipment, and motivational music qualities were assessed using the BMRI-2 questionnaire. The procedure included an initial maximal CPET test, echocardiography, and spirometric tests, followed by an interview to select preferred music tracks. A second CPET test was then performed with the chosen motivational music. The Borg Rating of Perceived Exertion (RPE) scale was used in both tests. Results: The internal consistency of the questionnaire was confirmed with a Cronbach’s Alpha of 0.982. The synchronized motivational music significantly improved cardiopulmonary parameters such as peak oxygen consumption (peak VO₂), oxygen consumption (VO₂) at the second ventilatory threshold (VT2), peak heart rate (peak HR), test duration, and reduced perceived exertion (RPE) at the beginning of the test and at the intensity level corresponding to the VT2. Negligible differences were noted between students and recreational athletes, so it can be assumed that music had an equal impact on these two groups of subjects. Conclusions: The study concluded that synchronous motivational music significantly enhances cardiopulmonary performance and reduces perceived fatigue during physical exertion by serving as a key motivational element and facilitating more economical movement. Full article

It has been suggested that there may be an imbalance of excitation and inhibitory processes in the visual areas of the brain in people with migraine aura (MA). One idea is thalamocortical dysrhythmia, characterized by disordered oscillations, and thus disordered communication between the lateral geniculate nucleus and the cortex. Cross-orientation suppression is a visual task thought to rely on inhibitory processing, possibly originating in the lateral geniculate nucleus. We measured both resting-state oscillations and cross-orientation suppression using EEG over occipital areas in people with MA and healthy volunteers. We found evidence of cross-orientation suppression in the SSVEP responses, but no evidence of any group difference. Therefore, inhibitory processes related to cross-orientation suppression do not appear to be impaired in MA. Full article

The human brain’s role in face processing (FP) and decision making for social interactions depends on recognizing faces accurately. However, the prevalence of deepfakes, AI-generated images, poses challenges in discerning real from synthetic identities. This study investigated healthy individuals’ cognitive and emotional engagement in a visual discrimination task involving real and deepfake human faces expressing positive, negative, or neutral emotions. Electroencephalographic (EEG) data were collected from 23 healthy participants using a 21-channel dry-EEG headset; power spectrum and event-related potential (ERP) analyses were performed. Results revealed statistically significant activations in specific brain areas depending on the authenticity and emotional content of the stimuli. Power spectrum analysis highlighted a right-hemisphere predominance in $\mathrm{theta}$, $\mathrm{alpha}$, high-$\mathrm{beta}$, and $\mathrm{gamma}$ bands for real faces, while deepfakes mainly affected the frontal and occipital areas in the $\mathrm{delta}$ band. ERP analysis hinted at the possibility of discriminating between real and synthetic faces, as N250 (200–300 ms after stimulus onset) peak latency decreased when observing real faces in the right frontal (LF) and left temporo-occipital (LTO) areas, but also within emotions, as P100 (90–140 ms) peak amplitude was found higher in the right temporo-occipital (RTO) area for happy faces with respect to neutral and sad ones. Full article

Human alpha oscillation (7–13 Hz) has been extensively studied over the years for its connection with cognition. The individual alpha frequency (IAF), defined as the frequency that provides the highest power in the alpha band, shows a positive correlation with cognitive processes. The modulation of alpha activities has been accomplished through various approaches aimed at improving cognitive performance. However, very few studies focused on the direct modulation of IAF by shifting the peak frequency, and the understanding of IAF modulation remains highly limited. In this study, IAFs of healthy young adults were up-regulated through short-term neurofeedback training using haptic feedback. The results suggest that IAFs have good trainability and are up-regulated, also that IAFs are correlated with the enhanced cognitive performance in mental rotation and n-back tests compared to sham-neurofeedback control. This study demonstrates the feasibility of self-regulating IAF for cognition enhancement and provides potential therapeutic benefits for cognitive-impaired patients. Full article

Aquatic beetle diversity was compared between three study sites in the state of Tlaxcala, central Mexico: Stream 1 (San Ambrosio), stream 2 (San Tadeo), and a lake (Acuitlapilco). Sampling took place bimonthly during an annual cycle. A total of 2968 specimens were obtained, which were grouped into twenty three species, fifteen genera, and six families (Elmidae, Dryopidae, Dytiscidae, Gyrinidae, Haliplidae, and Hydrophilidae). Stream 2 showed the highest values of abundance (1570 individuals), while stream 1 had the highest richness (18 species). Abundance values showed two peaks each in rainy and dry seasons. The proportion of rare and dominant species was similar in all study sites. Based on species accumulation curves, the maximum estimated number of species has not been achieved in either of the three sites. Regarding alpha diversity (effective number of species), stream 1 presented the highest zero-order diversity estimated with 18.5 species. Regarding beta diversity, lotic systems (streams 1 and 2) presented a similarity of 75%. Finally, regarding the trophic structure of the adult aquatic beetle community, herbivores, predators, and decomposers were most representative in this study. Based on our results, Tlaxcala probably holds a significant diversity of aquatic beetles. This appears to indicate that species composition in geographic areas, regardless of their relatively small size, is worth documenting and, of course, preserving. Full article

The heightened dipolar interactions in solids render solid-state NMR (ssNMR) spectra more difficult to interpret than solution NMR spectra. On the other hand, ssNMR does not suffer from severe molecular weight limitations like solution NMR. In recent years, ssNMR has undergone rapid technological developments that have enabled structure–function studies of increasingly larger biomolecules, including membrane proteins. Current methodology includes stable isotope labeling schemes, non-uniform sampling with spectral reconstruction, faster magic angle spinning, and innovative pulse sequences that capture different types of interactions among spins. However, computational tools for the analysis of complex ssNMR data from membrane proteins and other challenging protein systems have lagged behind those for solution NMR. Before a structure can be determined, thousands of signals from individual types of multidimensional ssNMR spectra of samples, which may have differing isotopic composition, must be recognized, correlated, categorized, and eventually assigned to atoms in the chemical structure. To address these tedious steps, we have developed an automated algorithm for ssNMR spectra called “ssPINE”. The ssPINE software accepts the sequence of the protein plus peak lists from a variety of ssNMR experiments as inputs and offers automated backbone and side-chain assignments. The alpha version of ssPINE, which we describe here, is freely available through a web submission form. Full article

Background: Coronavirus disease (COVID-19) impairs the free movement of human beings. The study aims to determine how the COVID-19 pandemic affected population mobility. Methods: The study obtained Google COVID-19 population mobility report and e Taiwan COVID-19 pandemic information from Our World in Data. Results: During the Alpha wave, transit decreased the most, with an average difference of >50%, followed by parks, workplaces, groceries, and pharmacies. During the Omicron wave, the average population flow in parks and transit decreased by about 20%. During the pre-existing wave, the average population visits of transit decreased by 10% at the most, followed by parks and workplaces. The peak of daily new confirmed cases per million (7-day rolling average) was 25.02, 6.39, and 0.81 for Alpha, Omicron, and the pre-existing wave, respectively. Daily new confirmed cases per million people correlated with the change in population visits of various places (all p < 0.001). The reproduction rate (7-day rolling average) correlated with the change of population visits of most places, except retail and recreation. We conclude the Alpha variant affected more individuals than Omicron and pre-existing type. Furthermore, changes in population visits in transit were most impacted. This change was consistent with daily new confirmed cases per million people and reproduction rate (7-day rolling average). Conclusion: The Alpha variant affected more individuals than the Omicron and pre-existing types. Furthermore, changes in population visits in transit locations were most impacted. This change was consistent with the daily new number of confirmed cases per million people and the 7-day rolling average reproduction rate. Full article

Visuospatial working memory (WM) requires the activity of a spread network, including right parietal regions, to sustain storage capacity, attentional deployment, and active manipulation of information. Notably, while the electrophysiological correlates of such regions have been explored using many different indices, evidence for a functional involvement of the individual frequency peaks in the alpha (IAF) and theta bands (ITF) is still poor despite their relevance in many influential theories regarding WM. Interestingly, there is also a parallel lack of literature about the effect of short-term practice on WM performance. Here, we aim to clarify whether the simple repetition of a change-detection task might be beneficial to WM performance and to which degree these effects could be predicted by IAF and ITF. For this purpose, 25 healthy participants performed a change-detection task at baseline and in a retest session, while IAF and ITF were also measured. Results show that task repetition improves WM performance. In addition, right parietal IAF, but not ITF, accounts for performance gain such that faster IAF predicts higher performance gain. Our findings align with recent literature suggesting that the faster the posterior alpha, the finer the perceptual sampling rate, and the higher the WM performance gain. Full article

The resting-state paradigm is frequently applied to study spontaneous activity of the brain in normal and clinical conditions. However, the relationship between the ongoing experience of mind wandering and the individual biological signal is still unclear. We aim to estimate associations between subjective experiences measured with the Amsterdam Resting-State Questionnaire and data-driven components of an electroencephalogram extracted by frequency principal component analysis (f-PCA). Five minutes of resting multichannel EEG was recorded in 226 participants and six EEG data-driven components were extracted—three components in the alpha range (peaking at 9, 10.5, and 11.5 Hz) and one each in the delta (peaking at 0.5 Hz), theta (peaking at 5.5 Hz) and beta (peaking at 17 Hz) ranges. Bayesian Pearson’s correlation revealed a positive association between the individual loadings of the theta component and ratings for Sleepiness (r = 0.200, BF₁₀ = 7.676), while the individual loadings on one of the alpha components correlated positively with scores for Comfort (r = 0.198, BF₁₀ = 7.115). Our study indicates the relevance of assessments of spontaneous thought occurring during the resting-state for the understanding of the individual intrinsic electrical brain activity. Full article