Conectar
by Deye Ge, Liyan Wu, Jingrong Yang, Jingxian Sun, Jinying Wang, Jingxin Wang, Huihui Song, Ran Wei, Zecheng Xu, Binbin Zhao, Rongfei Sun, Yifei Wang
The U.S. Food and Drug Administration (FDA) approved intravenous edaravone for the treatment of amyotrophic lateral sclerosis (ALS) in 2017, followed by the approval of the oral formulation in 2022. This study aims to utilize the FDA#39;s Adverse Event Reporting System (FAERS) to investigate the spectrum and timing of adverse events (AEs) associated with edaravone administration, employing repeatability analysis, the Reporting Odds Ratio (ROR) approach, Weibull distribution, and stratification methods. The investigation focuses on data collected from the first quarter of 2017 through the fourth quarter of 2024, aiming to identify adverse event signals and their temporal patterns related to both intravenous and oral edaravone administration. In total, 3,262 records of edaravone-related adverse reactions were identified; among these, 1,534 incidents were associated with intravenous administration, while 453 incidents pertained to oral administration. The analysis revealed distinct adverse reaction profiles for the two routes of administration. Notably, the spectrum of adverse reactions resulting from oral administration predominantly involved the respiratory system, digestive system, and skin damage. In contrast, intravenous administration was more frequently linked to complications associated with invasive procedures and local tissue damage. Furthermore, the timing of adverse reactions exhibited significant variability between the two routes. Weibull distribution analysis indicated that the median onset time for adverse reactions following intravenous administration was 35 days, whereas for oral administration, it was 27 days. Both analytical approaches identified early failure signals, suggesting that the risk of adverse events diminishes over time.by Peesit Leelasawatsuk, Pasawat Supanimitjaroenporn, Nattida Rodsom, Theepat Wongkittithaworn, Manupol Tangthongkum
Nasopharyngeal carcinoma is prevalent in Thailand, with a substantial proportion of cases diagnosed at advanced stages. The standard treatment, concurrent chemoradiotherapy, is associated with considerable adverse effects, which may compromise therapeutic efficacy and diminish patients’ quality of life. While vitamin C has shown potential in reducing chemotherapy-induced toxicities in some cancers, its effects in nasopharyngeal carcinoma remain unclear. In this randomized, double-blind, placebo-controlled trial, patients with nasopharyngeal carcinoma undergoing concurrent chemoradiotherapy were assigned to receive either 2 g of intravenous vitamin C or placebo prior to chemotherapy. The incidence of gastrointestinal adverse effects—including nausea, anorexia, mucositis, diarrhea, and dysphagia—did not differ significantly between groups. However, longitudinal analysis demonstrated a significantly attenuated decline in platelet counts in the vitamin C group compared with placebo. Although intravenous vitamin C did not reduce gastrointestinal toxicities, the observed platelet preservation suggests a potential supportive effect that warrants further investigation. Trial registration The study was registered with the Thai Clinical Trial Registry (TCTR20190316003) on March 16, 2019.by Qin Zhang, Yuhong Hu, Xiaoju Li
With the rapid development of information and communication technologies, modern fire rescue models are evolving towards informatization, proactivity, and spatialization. Existing fire simulation models primarily focus on the impact of individual building parameters, lacking a systematic analysis of the multi-factor coupling effects on fire spread. As a result, it is difficult to accurately predict the trend of fire spread and meet the demands of dynamic escape routes for three-dimensional rescue systems. In this study, a typical L-shaped building was used as the research object, and a parameterized fire scenario database was constructed using the FDS (Fire Dynamics Simulator) fire simulation software, combined with experimental data for multi-factor coupling analysis. By simulating various factors such as initial fire locations (stairwell or corridor corner), floor height of ignition (low/mid/high area), and wind direction, this study systematically reveals the dynamic evolution process of smoke diffusion and the spatial distribution characteristics and interaction mechanisms of fire smoke in indoor and outdoor three-dimensional spaces. It also focuses on the time-dependent variations of smoke propagation in indoor escape routes, staircases, and external walls. The results indicate that the L-shaped building causes asymmetric smoke diffusion. The fire spread mode is a result of multi-factor coupling effects at the fire scene. Safe evacuation decisions are directly related to fire spread characteristics, smoke diffusion paths, the location of trapped individuals, fire alarm occurrence time, and rescue methods. Minor changes in each parameter can lead to significant differences in evacuation outcomes. Based on the situation at the site, generating real-time, dynamic escape paths is a crucial guarantee for improving rescue efficiency and success rates. The findings provide scientific support for the design and optimization of human-machine collaborative rescue systems and offer a data foundation for fire risk assessment and emergency response planning.by Meirong Shan, Qian Guo, Ruofei Li, Ni Li, Yanhua Fu, Huanyu Qi, Ge Zhang, Qian Wang, Xingli Xu, Jinchuan Lai
Hypertension is one of the main causes of cardiovascular diseases worldwide, affecting over one billion people. Although aliskiren offers a valuable option for inhibiting the renin-angiotensin system, its safety profile in the real world remains insufficiently explored, especially for rare or under-recognized adverse events (AEs), which have not been fully clarified. Therefore, leveraging large-scale post-marketing surveillance data is crucial for identifying rare AEs and guiding safer clinical practice. This study aims to elucidate pharmacovigilance signals associated with aliskiren (an antihypertensive drug) by systematically analyzing the characteristics of adverse events (AEs) from the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database and WHO-VigiAccess database, which provides a reliable scientific basis for clinical practice and regulatory decision-making. We conducted a retrospective quantitative analysis of aliskiren-related AE reports from the aforementioned two databases, employing the Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS) algorithms for signal detection. The results indicate that there were 5,596 and 5,549 aliskiren-related reports in the FAERS and WHO-VigiAccess databases, respectively. The median duration of these AEs during the observation period was 62 days, with an interquartile range (IQR) of 7–282 days. In both databases, signals for aliskiren were distributed across 28 System Organ Classes (SOCs), among which investigations, cardiac disorders, renal and urinary disorders, vascular disorders, and metabolism and nutrition disorders exhibited significant signals based on specific criteria applied across the four algorithms. A total of 607 preferred terms (PTs) with significant disproportionality signals were detected using the four algorithms, including potential AEs not previously well-documented, such as palpitations, myalgia, proteinuria, muscular weakness, pulmonary edema, and pollakiuria. This study not only confirms the known adverse reactions of aliskiren but also uncovers new potential risks, highlighting the importance of strengthening drug safety monitoring to enhance therapeutic efficacy and reduce the risk of adverse reactions. It provides valuable safety insights for physicians considering the use of aliskiren in the management of primary hypertension.by Mingming Pan, Yanhua Shen, Jiayu Wu, Chaonan Liu, Meihong Zhu, Zhengyu Zhou
This study aimed to investigate the therapeutic effects of ELASEM®Flex and ELASEM®ProFlex, two eggshell membrane (EM) products, on sodium iodoacetate (MIA)-induced osteoarthritis (OA) in rats. An OA model was established by a single intra-articular injection of MIA into the knee joint. After modeling, rats were administered diclofenac sodium, ELASEM®Flex, and ELASEM®ProFlex by gavage daily for 4 consecutive weeks. During the experiment, food intake, water intake, body weight, and plantar mechanical pain threshold (MPT) of rats were measured weekly. Serum levels of TNF-α, COX-2, IL-1β, and CTX-II were assessed at weeks 2 and 4. After 4 weeks, knee joints were harvested for histopathological examination (HE staining and Safranin-O fast green staining). Results indicated that knee joints of OA rats showed significant swelling, which was alleviated to varying degrees in all treatment groups. Both ELASEM®Flex and ELASEM®ProFlex significantly increased the MPT (P ®Flex and ELASEM®ProFlex can exert preventive and reparative effects on knee OA in rats by alleviating arthritis pain, inhibiting inflammatory factor expression, reducing type II collagen degradation, and promoting chondrocyte proliferation.by Gift Treighcy Banda-Mtaula, Ibrahim Simiyu, Sangwani Nkhana Salimu, Stephen A. Spencer, Nateiya M. Yongolo, Marlen Chawani, Hendry Sawe, Jamie Rylance, Ben Morton, Adamson S. Muula, Eve Worall, Felix Limbani, Miriam Taegtmeyer, Rhona Mijumbi, on behalf of the Multilink consortium
Multimorbidity, the presence of multiple chronic health conditions, is a leading cause of death globally. In Malawi, chronic noncommunicable and communicable diseases such as HIV frequently co-exist, putting pressure on an under-resourced system. However, the health system is primarily structured around disease-specific [vertical] programs, which hinders person-centred care approaches to multimorbidity. Our study focuses on multimorbidity care and explores the perceptions of healthcare workers on the patient pathways and service organisation throughout the patient’s interaction with the health facilities. This cross-sectional qualitative study took an interpretivist approach. We conducted 13 days of clinical observations at Queen Elizabeth Central Hospital and Chiradzulu District Hospital. We also conducted 13 days of clinical observations and semi-structured in-depth interviews with different cadres of purposively sampled healthcare workers (n = 22) at Queen Elizabeth Central Hospital and Chiradzulu District Hospital. Through thematic analysis, we identified an understanding of the organisation of care and healthcare workers’ perspectives on the delivery of services. Findings showed both hospitals provided services for inpatients and outpatients with multimorbidity, including screening, management, prevention of secondary conditions and rehabilitation. Patient diagnosis and management for multimorbidity were often delayed due to frequent stockouts of medication and consumables necessary for diagnostic testing for NCDs at the hospital level. Some healthcare workers were not equipped with the knowledge, skills, or guidelines to manage multimorbidity. As HIV care is currently better resourced than other chronic conditions, healthcare facilities may strengthen the supply chain, healthcare workers’ training sessions and monitoring and evaluation tools to ensure NCDs are well managed, learning from HIV programmes.by Cecilia Aguilar-Vega, Jaime Bosch, Satoshi Ito, Benjamin Ivorra, Hyunkyu Jeong, José Manuel Sánchez-Vizcaíno
African swine fever (ASF) is a lethal disease of swine that has spread across Asia since its introduction in 2018. South Korea first reported the disease in September 2019 in domestic pigs, and since then, more than 4,000 cases have been reported in wild boars during its expansion up to August 2024. Due to the high number of ASF notifications in wild boars in South Korea, contrasted with their scarcity in most Asian countries, analyzing the spatiotemporal spread of the disease in a setting with active surveillance provides valuable insights. In this study, we performed a trend-surface analysis on temporally gridded case data to characterize the overall geographic spread and direction of ASF in wild boars across South Korea, from its emergence to August 2022. Additionally, we propose a novel approach distinct from previous studies, to estimate spread velocity by incorporating an upper threshold to avoid unrealistic values. The model described the spread of ASF in the study area. The disease showed greater expansion in the east of the country. Initially, a south and eastward direction was estimated. The estimated median velocity was 19.53 km/month, with cell-level velocities ranging from 2.45 to 69.99 km/month. Velocity increased notably from autumn 2021 onward and varied substantially across years. Our results show the dynamics of ASF in wild boars of South Korea, providing new evidence of their role in the epidemiology of the disease.by Hongjun Park, Beechui Koo, Jungwook Shin, Byoung Hyuck Kim, James J. Sohn
Approximately one-third of US adults have tattoos, yet the dosimetric impact of intradermal tattoo pigments during radiation therapy remains uncharacterized. Commercial tattoo inks contain unregulated metallic impurities including chromium, lead, and nickel, raising concerns about dose perturbations in tattooed skin. This work quantifies radiation dose perturbations induced by high-atomic-number (Z) tattoo pigments under clinically relevant radiotherapy conditions. Monte Carlo simulations (TOPAS) modeled layered skin phantoms with a 0.3-mm intradermal tattoo layer embedded at 1.25–1.55 mm depth. Three commercial inks were evaluated: carbon-based (black) and metal-containing (Fe-rich brown, Al-containing orange) at pigment loadings of 5–100 vol% within the tattoo layer, to establish upper-bound effects. Electron (6, 18 MeV) and photon (6, 18 MV) beams were simulated with standard clinical geometry (1 × 1 cm² field, SSD = 100 cm). Photon irradiation produced pronounced, depth-localized dose enhancement, with peak dose enhancement factor (DEF) reaching 2.5 for brown ink at 18 MV, a 62% mean increase relative to non-tattooed skin driven by high-Z–mediated secondary electron production. Electron beams exhibited energy-dependent behavior: 6 MeV produced modest enhancement (peak DEF ~ 1.07), while 18 MeV unexpectedly generated dose deficits (DEFby Metha Yaikwawong, Khanittha Kamdee, Kasarnchon Mek-yong, Somlak Chuengsamarn
This work aimed to clarify how polymorphisms in the TNF gene relate to metabolic syndrome (MetS), type 2 diabetes mellitus (T2DM), and a broad spectrum of cardiometabolic characteristics, while also determining their impact on circulating TNF‑α concentrations. A total of 765 participants were genotyped for rs1800629 and rs361525, and serum TNF-α was also measured. To assess these relationships, multivariable logistic regression models—incorporating age, sex, and body mass index (BMI)—were applied to estimate adjusted odds ratios (aORs) and their corresponding 95% confidence intervals (CIs). Both variants were significantly associated with MetS: rs1800629 (crude OR = 2.22, 95% CI: 1.45–3.44, P P P = 0.035; adjusted OR = 2.84, 95% CI: 1.17–7.31, P = 0.025). The rs1800629 variant was also linked to T2DM risk (adjusted OR = 2.61, 95% CI: 1.35–5.24, P = 0.006), whereas rs361525 showed no such association. Carriers of rs1800629 had higher mean TNF-α levels (Pby Xiuxin Liu, Yuhui Han, Ruixue Kuang, Wenjiong Sheng, Yan Zhang, Xinyu Jia, Xiaoxiao Gao, Yanchao Ma
DNA damage-induced by radiotherapy is a critical factor in promoting the death of colorectal cancer cells (CRC). Although high mobility group box 1 (HMGB1) reportedly plays a vital role in tumor radioresistance by modulating DNA damage repair, the precise mechanisms remain unclear. In this study, HMGB1 knockdown markedly enhanced cell apoptosis after radiation. HMGB1 downregulation significantly inhibited DNA damage repair and reactive oxygen species (ROS)-mediated redox homeostasis after irradiation in CRC cells. Mechanistically, HMGB1 interacts with KU70 via its region spanning residues 95–163. This interaction subsequently activates the non-homologous end joining (NHEJ) pathway to facilitate DNA damage repair, ultimately leading to reduced radiation-induced cell apoptosis. KU70 silencing showed the same effect as HMGB1 depletion mediated cell apoptosis and DNA damage response both in vitro and in vivo. Additionally, HMGB1 and KU70 were overexpressed in CRC tissues. Analysis of the GEPIA database indicated that elevated levels of both genes showed a trend toward association with poor patient prognosis, although this did not reach statistical significance. The current study revealed that HMGB1 may promote DNA damage repair through KU70 and its mediated NHEJ pathway to affect apoptosis in CRC cells after irradiation. Thus, targeting the HMGB1/KU70/NHEJ axis may be a potential therapeutic target to promote the response of CRC to radiotherapy and in-depth study of the specific mechanism of this axis in CRC radioresistance will help to the develop more effective treatment strategies.by Vu Nhi Ha, Le Chi Cao, Tran Hai Dang, Dao Thi Huyen, Nguyen Tien Dung, Le Huu Song, Nguyen Linh Toan, Truong Nhat My, Thirumalaisamy P. Velavan
BackgroundHepatitis E virus (HEV) causes sporadic outbreaks worldwide, with zoonotic and waterborne genotypes contributing to infections. In Vietnam, HEV genotypes 3 and 4 circulate among humans and swine, but data from remote, ethnic minority populations remain limited.
MethodsA cross-sectional study was conducted among 272 ethnic minority students at Thai Nguyen University of Medicine and Pharmacy (TUMP) to determine HEV infection markers and associated risk factors. Anti-HEV IgM and IgG were tested in serum samples using Wantai ELISA kits, and HEV RNA was detected by nested PCR targeting the ORF1 region. Demographic and exposure data were collected via structured questionnaires. Statistical analyses were performed using binary logistic regression.
ResultsOne participant (0.37%) tested positive for anti-HEV IgM, and 69 (25%) were positive for anti-HEV IgG, while HEV RNA was undetectable. HEV-IgG seroprevalence increased significantly with age (p = 0.004) but showed no sex-related differences. Consumption of tap or mixed water sources (p = 0.043) and raw or undercooked pork liver (p = 0.018) were significantly associated with HEV-IgG positivity. Multivariate analysis confirmed these factors as independent predictors of prior HEV exposure (adjusted OR = 1.6 and 4.8, respectively).
ConclusionsA moderate HEV seroprevalence among ethnic minorities indicates substantial prior exposure in northern Vietnam. Strengthening water sanitation, food safety awareness, and routine HEV surveillance is recommended to mitigate infection risk in vulnerable communities.
by Jacqueline Muts, Danée Knevel, Dick den Hertog, Rachel K. Wong, Timothy C.Y. Chan, Britt J. van Keulen, Johannes B. van Goudoever, Chris H.P. van den Akker
Background and aimsThe macronutrient composition of donor human milk (DHM) can vary substantially due to several factors such as maternal age, diet, and lactation duration. However, consistent macronutrient levels in DHM facilitate the administration of the required amounts to preterm infants. The current pooling strategy at most human milk banks combines milk from different batches from a single donor. This study aims to stabilize the macronutrient quality of DHM by pooling milk from different donors by utilizing machine learning prediction and optimisation techniques.
MethodsThe current pooling strategy is compared with a new theoretical approach that pools milk batches from up to 5 donors. To predict the crude protein and energy content, we used the following variables: body mass index, the donor’s diet (vegetarian or non-vegetarian), maternal age, full-term or preterm delivery, lactation stage, and volume pumped. These predictions are then used within an optimisation model to create milk pools that minimize the deviations from the target macronutrient levels (1.0 g protein/100 mL and 70 kcal/100 mL).
ResultsThe prediction model is based on 2236 created single-donor pools from 480 donors. Random forest regression models provided the most accurate predictions of macronutrient content. The new pooling strategy using multiple donors shows reduced deviations from target values compared to the current single-donor approach (average total absolute deviation 0.402 versus 0.664).
ConclusionThis study proves the potential of data-driven methods to improve operational efficiency in human milk banks, and improving the consistency of donor human milk.
by Hang Sun, Haozhi Xu, Junying Li, Xiaoman Xie, Junmei Zhang, Hongjie Dong, Huanhuan Xie, Qi Wang, Guihua Zhao, Kun Yin, Jingyu Yang, Jianwei Zhou, Ruili Wu, Chao Xu
Gastric cancer (GC) is one of the most common and lethal cancers globally. methyltransferase-like 3 (METTL3)-mediated N6-methyladenosine (m6A) RNA methylation plays a crucial role in tumor initiation and progression by regulating RNA function. STM2457, a highly efficient METTL3 inhibitor, can inhibit METTL3 activity and may serve as a potential therapeutic strategy in cancers. However, the role of STM2457 for GC cells is still unknown. In this study, we analyzed the expression profile data of GC in TCGA and GEO databases, and further explored the expression involvement of METTL3 in GC cell line, investigated the therapeutic effect of STM2457 targeted inhibition of METTL3 in GC both in vitro and in vivo experiments. The results indicated that STM2457 could suppress GC cell proliferation and migration by inhibiting METTL3, and also promoted cell apoptosis and arrest the cell cycle in S phase. In addition, STM2457 could inhibit tumor growth in subcutaneous xenotransplantation mouse model. Our findings suggested that STM2457 had great potential for the treatment of GC and could serve as a foundation for future clinical applications.by Yongxin Sun, Xiaojuan Chen, Xinghua Zhang, Xiaohui Cai
Epilepsy is a prevalent neurological condition that impacts a significant number of individuals worldwide. Patients’ physical and mental health, as well as their daily activities, are significantly affected by seizures, necessitating prompt diagnosis and treatment. The automatic detection of epilepsy using electroencephalogram (EEG) signals has been a significant area of research. Nevertheless, the majority of current methods are based on intricate feature engineering processes that require the extraction and selection of a large number of features to identify the most discriminative feature sets. This results in a high level of algorithmic complexity, inadequate robustness, and inadequate interpretability, which complicates the provision of theoretical support to clinicians. This paper proposes a pathophysiology-driven, interpretable machine learning algorithm to address the limitations of current EEG-based epilepsy detection methods, which include poor interpretability and complex feature engineering. We developed a low-dimensional, interpretable feature combination consisting of only five features and systematically validated its discriminative capability across various epilepsy phases by innovatively integrating electrophysiological markers of epileptic seizures with nonlinear dynamical properties. In the binary classification of seizure versus non-seizure EEG segments, the XGB classifier achieved the highest accuracy of 98.73% and an F1 score of 98.57%. Classification accuracy for interictal versus ictal periods reached 95.33%, with an F1 score of 95.27%. In the challenging ternary classification task encompassing preictal, interictal, and ictal periods, the model achieved a respectable accuracy of 86.3% and an F1 score of 85.79%. Cross-database validation yielded a maximum accuracy of 82.17% and an F1 score of 81.99%, confirming the proposed features’ robust generalization capability and transformative potential. This feature set exhibits outstanding and stable performance across all models, as demonstrated by evaluations across two public datasets using five machine learning classifiers. In addition, SHAP values quantified the contribution of each feature to predictions, thereby providing a transparent decision-making rationale that substantially improves the algorithm’s interpretability and clinical utility.by Zonghan Lei, Yaoqi Hou, Xiangqin Song
Long-term motor training is thought to reshape brain organization, yet how golf expertise influences large-scale brain networks remains unclear. Using T1-weighted MRI and an individualized structural covariance network (SCN) approach, we compared 20 expert golfers, 20 novice golfers, and 20 non-golfer controls. Experts showed higher global clustering coefficient and local efficiency than novices, indicating enhanced modular processing. At the nodal level, experts exhibited increased clustering in regions supporting visual–sensorimotor integration (e.g., right supramarginal gyrus, Heschl’s gyrus, and left middle temporal pole), alongside reduced global efficiency in the left calcarine cortex and altered path length in the right cerebellum. Importantly, the clustering coefficient mediated the association between training duration and stroke accuracy. These cross-sectional findings suggest that extensive golf training is linked to a brain network reconfiguration that favors local specialization over global integration—potentially supporting the refined sensorimotor control required in elite performance. This study advances understanding of experience-dependent neuroplasticity by integrating individualized network analysis with behavioral outcomes in motor expertise.by Yue-Zi Hu, Zai-Long Qin, Wen Tang, Zhao-Lan Hu, Ru-Yi Luo
BackgroundThe COVID-19 pandemic has significantly affected healthcare, particularly surgical care. Although short-term effects on surgical outcomes have been examined, understanding of long-term postoperative prognosis and pain management in COVID-19 patients remains limited. This knowledge gap is critical as the pandemic evolves and the need for optimized postoperative care becomes increasingly important.
ObjectiveThe primary objective of this study was to evaluate the impact of COVID-19 infection on postoperative outcomes and pain management in surgical patients. We aimed to assess surgical mortality, complication rates, and postoperative pain levels in COVID-19-positive patients relative to a closely matched control group.
MethodsWe conducted a retrospective cohort study of COVID-19 patients admitted to the ICU following surgery. Data were collected on baseline characteristics, postoperative complications, mortality and pain scores. Univariate and multivariate linear regression models were used to evaluate the impact of COVID-19 infection on postoperative pain. Stratified and interaction analyses were additionally performed to examine the robustness of these associations across subgroups.
ResultsMortality rates and the incidence of sepsis were significantly higher in the COVID-19 cohort. Patients with COVID-19 also experienced longer duration of mechanical ventilation in the ICU and prolonged ICU stays. In the fully adjusted multivariate linear regression model, COVID-19 infection was positively associated with higher postoperative visual analog scale pain scores (β = 1.51; 95% CI: 1.03–1.98; p Conclusions
Surgical intervention in patients with COVID-19 was associated with higher mortality and sepsis rates, longer ICU stays, and increased postoperative pain scores. These findings highlight the need for continued research to optimize surgical care and improve patient outcomes in the evolving post-pandemic era.
by Simon Söderholm, Martin Ulander, Vanessa William Toma, Sara Kaufmann, Xiangyu Qiao, Daniel Berglind, Susanna Calling, Bledar Daka, Ludger Grote, Mats Martinell, Frida Bergman, Pontus Henriksson, Carl-Johan Östgren, Wen Zhong, Claudio Cantù, Fredrik Iredahl
Coffee is the most common drink in the world, second only to water. This makes caffeine, the ingredient of coffee known for its wakefulness-promoting effects, one of the most used psychoactive substances. The psychoactive property of caffeine is well-characterized, and entails its interaction with the adenosine receptors, involved in sleep regulation. While studies have shown a deleterious immediate effect of caffeine on sleep, less is known about the effects of chronic caffeine exposure. In the present cross-sectional study, we investigated this relationship across a large cohort of 30,154 individuals participating in the Swedish Cardiopulmonary Bioimage Study (SCAPIS), which allowed us to compare habitual coffee intake with sleep habits, subjective estimate of daytime sleepiness, and underlying genetic variants. According to our analyses, different degrees of coffee consumption, confirmed by statistical association with previously reported genetic variants, showed very low association with estimated patterns of sleep habits or perceived daytime sleepiness. These results indicate that coffee may be less impactful on sleep habits than previously thought, or that other mechanisms, such as the adaptive capabilities of the adenosine system in adult coffee users, may dampen its psychoactive potency.by Kexin Wang, Chao Ban, Liming Zhao, Haiyan Ruan, Ziqiong Wang, Yi Zheng, Sen He
BackgroundThe study aimed to investigate the associations between cooking oils and survival outcomes in a nationwide, community-based, prospective cohort study of older adults in China.
MethodsA total of 5372 older participants (median age: 85.0, inter-quartile range [IQR] age: 77.0–93.0; male: 46.1%) from the 2014 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2014 were included, with follow-up until 2018. The exposure was cooking oils, including vegetable oils and lard, and outcomes were overall survival (OS) and disease-specific survival (i.e., cardiovascular disease [CVD]-specific survival and non-CVD-specific survival). Accelerated failure time (AFT) models were used to analyze the associations between cooking oils and study outcomes.
ResultsDuring a median follow-up of 3.5 years (IQR: 2.4–4.2 years), 2064 (38.4%) deaths were recorded, including 433 CVD deaths, 1229 non-CVD deaths, and 402 deaths with unknown causes. Kaplan-Meier analysis revealed cooking with lard was associated a higher CVD-specific survival probability than vegetable oils (93.9% vs. 88.2%, log-rank p Conclusions
Cooking with lard was associated with significantly longer CVD- specific survival compared to vegetable oils among older adults in China.
by Mohammad Z. Darabseh, Aseel Aburub, Ragad Alkaraki, Abdullah Saber Alshammari, Yazan Almansi, Ghaith Dalalah, Csaba Melczer, Pongrác Ács
To evaluate pulmonary function and respiratory muscle strength in Mejwez players compared to predicted norms, and to assess the influence of smoking behaviours on these outcomes. A cross-sectional study was conducted involving adult Mejwez players. Spirometric parameters (forced expiratory volume in one second (FEV₁), forced vital capacity (FVC), and FEV₁/FVC) and respiratory pressures (maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP)) were measured and compared to predicted values. Multiple linear regression was used to assess the impact of smoking behaviours on respiratory outcomes. Mejwez players demonstrated significantly higher FEV₁ (+0.38 L, pby Xuying Zhang, Johanna Mainzer, Isabella Giambra, Tong Yin, Petra Engel, Hannah Hümmelchen, Henrik Wagner, Axel Wehrend, Christiane Egerer, Katharina Gerhards, Gerald Reiner, Sven König
Long tails trigger tail biting in pigs and increase the risk of flystrike infections in sheep. Tail docking has been a common management practice in both species for decades, but increasingly conflicts with legal animal welfare guidelines. Sustainable solutions require breeding strategies targeting shorter tails. In consequence, the aims were to conduct whole-genome sequencing (WGS)-based genome-wide association studies (GWAS) and comparative genomic analyses (CGA) to explore functional elements influencing tail traits. Phenotypically divergent experimental populations of pigs and sheep were established through unified selection and mating experiments. Tail traits included tail length (TL) measured at birth, and tail abnormalities (TA) assessed radiographically at 14 weeks of age. WGS-based GWAS identified a significant locus on SSC18 in pigs and suggestive loci for TL in both species, which, together with previously reported loci for TA, were further analyzed by CGA. The genomic windows of the significant locus on SSC18 in pigs and the TL GWAS locus on OAR4 in sheep were found to be conserved, harboring six common genes with predicted functional variants. These variants were jointly associated with TL (Plm ) in both species in linear regression models adjusted for sex, age of the dam, body length, and body weight. In other GWAS locus windows (±1 Mb), species-specific TL candidate genes were identified in sheep (HOXB13, MUC5B, EPB41L3, MTCL1, PIEZO2, MPPE1, and LOXHD1) and in pigs (KNL1, DISP2, SPRED1, TGFB2, and HAND1), each harboring associated putative functional variants. For TA, sheep-specific candidates (PGM2, LRRC66, CRACD, LOC105601916, and SH2D4B) and pig-specific candidates (MYOT, TMCO6, and PCDHAC2) were revealed using logistic regression models (Pglm ). GO analyses of candidate genes predicted shared biological processes between sheep and pigs, whereas pathway analyses indicated that common carbohydrate metabolism pathways, along with species-specific immune and inflammatory signaling, and pig-specific TGF-β signaling and endochondral ossification, may contribute to tail length variation and abnormalities. These findings provided deeper insights into the genetic basis of differential embryonic tail morphogenesis and perinatal tail development across species.
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