bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of pressure on the survival and viability of cancer cells in vitro: An analytical study
Authors: Khan Mohsin Ali , Khan Zaw Ali , Husain Ishrat , Upadhyay Shivbrat , Zehra Sarina , Ahmad Rumana
Published: February 2025

Intense cancer research is underway to discover possible therapies but no major breakthrough appears to be in sight in terms of its cure when diagnosed late. The cytostatic and growth inhibitory effect of high pressure on cells is well documented. In the present study, two cancer cell lines viz. MDA-MB-231 (breast carcinoma) and A549 (lung carcinoma) and one normal cell line (Vero) were subjected to increased pressure of 18 psi in a specially constructed pressure chamber. It was found that a pressure of 18 psi induced a significant change in the growth parameters of both cancer cell lines versus normal cells. Exposure to increased pressure greatly increased the proportion of MDA-MB-231 cells in the S phase while concurrently reducing the number of cells in the G0/G1 phase as compared to their untreated counterparts. SEM and AFM analysis revealed presence of characteristic ‘pores’ and ‘pits’ on the cell surface of pressure-treated versus untreated cancer cells. TEM analysis also revealed significant intracellular differences between pressure-treated and untreated cancer cells. Hyperbaric nitrogen therapy is proposed as a novel cancer-treatment modality involving administration of N2 at the tumor site in murine models of breast and lung cancer. This would eventually pave the way for development of a device effective treatment strategy for human tumors in future.
Sustainable care: How CSR shapes wellbeing in healthcare organizations in Beijing, Shanghai, and Guangzhou
Authors: Fu Qinghua , AlWadi Belal Mahmoud , Liviu Marian Matac , Dias Rui
Published: February 2025

This article investigates the link between corporate social responsibility (CSR) perceptions of employees and employee burnout, from a sustainable development point of view, in the healthcare system of China. It fills the void in conventional literature by analyzing the indirect effect of CSR on the health and well-being of health workers aligning with SDGs focused on health and wellbeing. To be able to address the crux of healthcare professionals’ burnout which can have far-reaching negative consequences for individual welfare and healthcare delivery, this research explores the linkages between CSR perceptions, employee burnout, happiness, psychological safety, and altruistic behavior. Data were obtained from 392 health care workers in three Chinese cities through a thrice-administered questionnaire that measures CSR perceptions of employees, burnout levels, happiness, safety perceptions, and altruistic motivations. It is seen that results show a strong link between CSR perceptions of employees and burnout reduction. Furthermore, the happiness and psychological safety of workers were expressed as mediators, with altruism playing the role of moderator. The above points highlight the need to adopt CSR strategies to promote employee well-being and combat burnout in the healthcare sector, which plays a vital role in global initiatives to attain SDGs related to good health and well-being, and sustainable development. Additionally, this research increases the debate on employee burnout based on their organization’s CSR perceptions and positive psychology theory as a lens, bringing up CSR as the key factor in the achievement of sustainable development and the improvement of well-being within healthcare settings.
A life course study of genetic and environmental influences on sustainable working life
Authors: Ropponen Annina , Bergström Jacob , Narusyte Jurgita , Svedberg Pia
Published: February 2025

Genetics plays a role in short- and long-term sustainable working life (i.e., not having interruptions due to sickness absences (SA), disability pensions (DP), or unemployment), but the life course effects are not known. Thus, we aimed to investigate the age-specific genetic and environmental influences on sustainable working life from young adulthood until old-age pension. We used classical twin modeling based on the genetic relatedness of mono- and dizygotic twins in a longitudinal design. The final sample (n =  49 372) of Swedish same-sex twins with known zygosity born between 1929 and 1990 (52.8% women) with detailed national register data of employment, SA, DP, unemployment, old-age pension, emigration, and death. Genetic influences for sustainable working life were 54% at ages 18–27 years, 59% at 28–37 years, 37% at 38–47 years, 69% at 48–57 years, and 34% at 58–65 years. We observed genetic influences transferred from 18–27 years to 28–37 years and to 38–47 years explaining 28% and 17% of the variance, respectively, from 28–37 years to 38–47 years 60%, and from 48–57 years to 58–65 years 47%. Unique environmental influences were 57–72% in five age groups. Age group-specific common environment explained 63% of the variance for 18–27 years, 27% for 28–37 years, 12% for 48–57 years, and 25% for 58–65 years (none for 38–47 years). From age 48–57 years, the common environment explained 24% of the variance among those aged 58–67. To conclude, stability and change in genetic effects are important for a sustainable working life across the life course. The unique environmental effects were important for the middle age groups between 28 and 57 years. Thus, society and workplaces should support health and well-being to promote a sustainable working life.
Responses of soil labile organic carbon stocks and the carbon pool management index to different vegetation restoration types in the Danxia landform region of southwest China
Authors: Xiao Ye , Zhang Yuguang , Long Jiumei , Luo Kang , Huang Zhigang
Published: February 2025

Soil organic carbon (SOC) is an important index for evaluating soil quality in the process of ecological restoration. It plays an important role in increasing soil carbon storage, improving soil texture, and promoting plant growth. Nevertheless, dating the variation in SOC and labile SOC fractions (LOCFs) during ecological restoration processes has not been sufficiently elucidated. To enrich our comprehension of the responses of SOC and its labile fractions to different vegetation restoration types, five vegetation restoration types were selected in the Danxia landform region of southwest China, namely, shrub (SH), bamboo forest (BF), Chinese fir forest (CFF), evergreen broad-leaved forest (EBF), and mixed coniferous-broadleaf forest (MCBF). The concentrations and stocks of SOC and LOCFs, such as dissolved organic carbon (DOC), microbial biomass organic carbon (MBC), and easily oxidizable organic carbon (EOC), and the carbon pool management index (CPMI) were investigated. Results showed that the different vegetation restoration types significantly influenced SOC stocks (P < 0.05), and the concentrations and stocks of SOC and LOCFs decreased with increasing soil depth in different vegetation types, except for MBC in BF and CFF. Additionally, BF and EBF had significantly higher total SOC stocks (92.75 t ha − 1 and 60.13 t ha − 1) compared with the three other vegetation types (26.18–47.48 t ha-1) at a depth of 0–30 cm. The largest total DOC stock was observed in EBF, while BF and EBF had significantly higher MBC and EOC stocks than SH, CFF, and MCBF (P < 0.05). Compared with SH, the CPMI increased by 49.7%, 32.9%, and 35.2% in BF, CFF, and EBF, respectively, except for the MCBF. SOC and LOCFs were closely related to soil physicochemical properties, and total nitrogen, total phosphorus and moisture had a pronounced effect on them. However, higher SOC and LOCFs stocks, and CPMI were observed in BF and EBF than in the other vegetation types. This result suggests that the two plant types exhibited better ability to sequester carbon than the other vegetation types. Overall, vegetation restoration promoted the accumulation of both SOC and its fractions, the results of which varied among the different vegetation types.
Predicting IVF live -birth probability using time-lapse data: Implications of including or excluding age in a day 2 embryo transfer model
Authors: Sayed Shabana , Petersen Bjørn Molt , Reigstad Marte Myhre , Schwennicke Arne , Hausken Jon Wegner , Storeng Ritsa
Published: February 2025

The primary objective of this study was to develop predictive models for the likelihood of live births following In Vitro Fertilisation (IVF) treatment, based on a retrospective analysis of time-lapse data from Day 2 embryo transfers at Klinikk Hausken, Norway. This analysis encompassed 1,506 IVF treatment cycles, which included 865 single and 641 double embryo transfer cycles, totalling 2,147 embryos transferred.

The model covariates included nucleation error, timing of two-cell stage (t2) and duration between t2 and the three-cell stage (t3). The predictive ability was assessed using Area Under Curve (AUC). Generalised Additive Mixed Models (GAMM) were utilised to address clustering effects from Single Embryo Transfers (SET) and Double Embryo Transfers (DETs), as well as the non-linear effects of female age and t2 timings. A stratification of age and model scores demonstrated the impact of incorporating age into the model. The” Base Model, not incorporating age, achieved an AUC of 0.641, while the “Age Model”, using maternal age, significantly enhanced AUC to 0.745, as estimated through bootstrap analysis.

However, when the Age Model was subjected to average ages across three respective age intervals, the AUC values were comparable to the Base Model, rather than the original Age Model scores.

Adjusting the Intracytoplasmic Sperm Injection (ICSI) timing by ± 2 hours, purely as a theoretical exercise, has minimal impacts on model predictions. This highlights the value of including t2 despite fertilisation timing variations between ICSI and IVF.

The Age Model did not show superiority in predicting live birth within single treatment cohorts. However, given its distinct AUC values for broader age ranges, the Age Model can serve as a counselling tool on live-birth probabilities. With further validation, we suggest only using the Age Model for general counselling, while the Base Model is preferable for the embryo selection decision support.
Nightmare distress mediated the correlation between autobiographical memory specificity and depression
Authors: Wang Jiaxi , Fu Haote , Feng Xiaoling , Shen Heyong
Published: February 2025

In this study, we explored whether nightmare distress mediated the correlation between autobiographical memory specificity and depression. 112 participants provided their most recent dreams that happened within one month, and finished some scales that measured depression, autobiographical memory specificity, and nightmare distress. In line with our hypothesis, nightmare distress was the mediator that played a role in the relationship between autobiographical memory specificity and depression. In addition, we found that both nightmare distress and autobiographical memory specificity were correlated with the impact of a dream on one’s life story. By contrast, contrary to our hypothesis, we did not find any correlation between autobiographical memory specificity, or nightmare distress, and dream bizarreness. Potential implications from these results were discussed.
Ecuadorian Holstein-Friesian cattle paternal lineages: Demographic structure, inbreeding evolution, and genetic diversity
Authors: Cartuche-Macas Luis F. , Gutierrez-Reinoso Miguel A. , Chacón Edilberto , Larrea-Izurieta Carlos O. , García-Flores Joar M. , Garcia-Herreros Manuel
Published: February 2025

Holstein-Friesian cattle are the most important dairy breed worldwide. The main objective was to carry out a detailed pedigree evaluation of the Ecuadorian Holstein-Friesian cattle to investigate the demographic structure, inbreeding evolution, and genetic diversity of the official paternal lineages to determine the potential GD loss after the inclusion of modern Assisted Reproductive Technologies (ARTs). Official pedigree information from 28,893 Holstein-Friesian sires born between 1950 and 2021 and enrolled with the Ecuadorian Holstein-Friesian Association (AHFE, Ecuador) were recorded and evaluated from USA and Canada genetic official databases. After multiple-trait across-country genetic analyses the total population was divided into four subpopulations; i) 1950–1969: natural mating (NM) period; ii) 1970–1989: NM +  artificial insemination (AI) period; iii) 1990–2009: AI +  embryo transfer (ET) period; and iv) 2010–2021: AI +  ET +  genomic selection (GS) period. Demographic parameters [number of males, pedigree integrity (PI), and generation interval (GI)] were analysed. PI was analysed using known ancestors up to 4 generations considering the number of complete (GCom), maximum (GMax) and equivalent (GEqu) generations. Moreover, Inbreeding parameters [inbreeding coefficient (F), average relatedness (AR), coancestry (C), effective size (Ne), genetic conservation index (GCI)] and parameters related to the gene origin probability (number of founders (f), effective number of founders (fe), genetic conservation index (GCI), among others] were also analysed, together with the fe/f ratio, fge/fe ratio, genetic contributions, and genetic diversity loss (GD-loss) derived parameters. The results indicated that nearly all imported sires used in Ecuador born in the beginning of 1990s could be traced to just three countries, who together account for > 90% of paternal lineages. This fact indicates that GD has undergone a dramatic decrease during the past 30 years. The PCI for the three last periods were > 55%, and the trend was enhanced in the fourth chronological period till > 92%. The estimated proportion of random genetic drift in GD loss increased over time as well as the Ne that decreased by the time. In conclusion, the occurrence of AI +  ET +  GS period led to the major GD loss. Therefore, due to the extremely limited number of paternal lineages the strategy for recovering the minimal GD on the current and future Ecuadorian Holstein-Friesian cattle should reduce the inbreeding values by increasing the Ne using alternately the foreign genetic material and the national breeding stock.
First validity testing of GluciQuizz, a French self-questionnaire evaluating carb-counting for patients with type 1 diabetes
Authors: Tatulashvili Sopio , Dreves Bleuenn , Cosson Emmanuel , Meyer Laurent , Morello Remy , Joubert Michael
Published: February 2025

Objective

Carbohydrate intake remains one of the most influential factors affecting post-meal glucose levels in type 1 diabetes (T1D). To individualize and optimize patient education on carbohydrate counting, it is essential to assess their knowledge of carbohydrate counting. For this purpose, we aimed to produce and validate a questionnaire for French-speaking individuals based on the American AdultCarbQuiz questionnaire (43 items).

Design

The translation and cross-cultural adaptation of the American questionnaire were followed by an analysis conducted by patient and diabetologist expert groups.

Participants

190 participants living with T1D, Diabetologist expert group.

Main outcome measure(s)

Internal consistency and reliability were verified by administering the adapted French version of the questionnaire to 190 participants living with T1D.

Analysis

Clinical validity was verified by examining the correlation between the questionnaire score and the time in range (TIR) of these participants.

Results

Translation and back-translation demonstrated good consistency with the original questionnaire. Typical American food items were replaced with foods commonly consumed in France. All items were validated by both patient and diabetologist experts. After analyzing the responses of 190 participant, seven items were considered non-discriminatory and were therefore removed. Internal consistency, assessed by Cronbach’s α, was high, with α =  0.785, 95 CI [0.738–0.826]. Finally, we produced a 36 item French questionnaire named GluciQuizz. TIR correlated with the GluciQuizz score (r =  0.3; p  <  0.0001).

Conclusions and implications

This study validates a French-language self-administered questionnaire (GluciQuizz), which evaluates different domains of carbohydrate knowledge in a 15-minute quiz for people living with T1D.
Transcriptomic adaptation of skeletal muscle in response to MICT and HIIT exercise modalities
Authors: Hong Weihao , Luan Yisheng , Zheng Jianrong , Xiong Yingzhe , Zhang Bing , Ma Yixuan
Published: February 2025

Skeletal muscle exhibits remarkable plasticity in response to diverse stimuli, with exercise serving as a potent trigger. Varied exercise modalities, including moderate-intensity continuous training (MICT) and high-intensity interval training (HIIT), induce distinct structural and functional adaptations on skeletal muscle. However, the underlying molecular mechanisms governing these adaptations remain poorly understood. In this study, we utilized RNA-seq to characterize the transcriptomic profile of murine gastrocnemius muscle following 8-week treadmill-based MICT (M group) and HIIT (H group). A total of 1052 DEGs were screened in H vs. M. Among the top 10 significant DEGs, Foxo1 and Myod1 are closely related to muscular physiology. Through KEGG pathway analysis, distinct adaptations were primarily identified in the FoxO, MAPK, and PI3K-AKT pathways. By analyzing the expression of myokines, a significantly higher Igf-1 expression level was observed in the M group compared to the H group. Therefore, IGF-1, a well-known upstream regulator of both the PI3K-AKT-FoxO and MAPK pathways, might drive distinct muscle adaptations through variations in Igf-1 expression induced by these two exercise modalities.
Effect of rabbit gastrointestinal stasis (RGIS) on the fecal microbiota of pet rabbits (Oryctolagus cuniculus)
Authors: Rahic-Seggerman Faith M. , Iske Cayla , Graham Jennifer , Furst Nicole , Schmitz-Esser Stephan , Kohles Micah R.
Published: February 2025

Rabbit (Oryctolagus cuniculus) gastrointestinal stasis syndrome (RGIS) is defined as reduced motility of any part of the digestive tract that can lead to impaction and death if left untreated. This study aimed to describe the effect of RGIS on the fecal microbiota of client-owned pet rabbits. Fecal samples from healthy rabbits and rabbits displaying RGIS were obtained and the symptomology of the rabbits was recorded along with any medical intervention. The health outcomes were as follows: 1) Healthy rabbits (Healthy, n = 21), and 2) Rabbits that displayed symptoms of RGIS, were treated, and recovered (RGIS, n = 22). The fecal samples were analyzed using 16S rRNA and 18S rRNA gene amplicon sequencing to characterize the bacterial and eukaryotic microbial communities, respectively. In the 16S rRNA amplicon dataset, two bacterial genera were found in higher abundance in rabbits with RGIS: Clostridium sensu stricto 1 and an unclassified genus in the Enterobacteriaceae family. Likewise, five genera were found in higher abundance in healthy rabbits. The yeast Cyniclomyces guttulatus dominated the eukaryotic microbiota in all rabbits. RGIS is one of the most common issues in clinical practice. This study is the first to perform detailed characterization of the effects of RGIS on the domestic rabbit’s bacterial and eukaryotic fecal microbiota. The results demonstrate a significant change in the relative abundance of seven bacterial genera associated with RGIS. Future research is necessary to elucidate the potential role of these microorganisms in RGIS. In the long-term, treatments targeting the restoration of the physiological gastrointestinal microbiota should be developed.
Assessing regional competitiveness in Peru: An approach using nonlinear machine learning models
Authors: Garcia-Lopez Yvan J. , del Carpio Castro Luis A.
Published: February 2025

This study addresses the challenges of measuring regional competitiveness using traditional methods, due to the inherent complexity and non-linearity of its determinants’. The development of new Machine Learning (ML) models allows the creation of predictive models capable of handling this type of data, providing actionable insights. The objective of the study was to develop and test the use of non-linear Machine Learning models to measure the regional competitiveness in Peru, at the sub-national level. The research uses the ODD (Overview, Design Concepts, and Details) protocol to ensure a transparent and replicable methodology. The impact of ML on the Peruvian Regional Competitiveness Index (IRCI) is examined across 25 regions from 2016 to 2023, focusing on five key pillars: economy, government, infrastructure, businesses, and people. A suitability index (IoI) was developed to assess how well the pillar components align with ML. Data provided by CENTRUM PUCP was subjected to exploratory data analysis (EDA) to address variability among pillar scores and their effects on competitiveness. Six nonlinear machine learning models (Gradient Boosting, Random Forest, XGBoost, AdaBoost, Neural Networks, and Decision Trees) were applied, and the machine learning models with the highest predictive accuracy were Gradient Boosting and Random Forest. Performance metrics include MSE values of 1.1399 and 1.3469, RMSE values of 1.0677 and 1.1606, and R2 values of 0.9768 and 0.9729, respectively. These results demonstrate the effectiveness of machine learning in analyzing the complexity of regional competitiveness data, identifying influential variables, and reducing score distortions. The findings provide a data-driven framework for policymakers to improve regional competitiveness, which promotes academic knowledge and practical applications for sustainable development.
Comparison of leg length discrepancy after total hip arthroplasty: Direct anterior and posterior lateral approach
Authors: Lu Yang , Li Xiang , Hu Yihe , Zhao Fengchao
Published: February 2025

Background

Leg length discrepancy (LLD) after total hip arthroplasty (THA) is a clinical entity that deteriorates clinical outcomes and patients’ satisfaction. Few articles have compared LLD after THA by different surgical approaches.

Methods

A total of 358 consecutive patients who underwent primary THA between January 2016 and November 2018 were retrospectively reviewed. All 4 surgeons performed THA through both direct anterior approach (DAA) and posterior lateral approach (PLA). The primary outcome measurement was LLD. LLD was measured on post-operative anteroposterior bilateral hip radiograph. The secondary outcomes were acetabular abduction, acetabular anteversion, perceived LLD (pLLD) and HHS at 6 weeks, 1 year and 5 years. Intergroup analyses were performed using the Chi-square test for enumeration data and the independent sample t-test for quantitative data.

Results

There was no inter-group difference in terms of patients’ demographics. The DAA group had decreased LLD compared to the PLA group (3.0 ± 5.9mm vs. 4.2 ± 4.5mm, p = 0.027). Meanwhile, the DAA group had a smaller acetabular anteversion than the PLA group (12.9 ± 2.9 vs. 18.4 ± 2.9, p < 0.01). At 6-week follow-up, the DAA group had higher HHS (82.2 + 6.2 vs. 80.5 + 6.6, p = 0.015) and less pLLD (P = 0.001) compared to the PLA group.

Conclusions

DAA results in more accurate leg length equalization, reduced pLLD, and improved short-term outcomes compared with PLA.
Astragalus polyphenols attenuates doxorubicin-induced cardiotoxicity by activating the PI3K/AKT/NRF2 pathway
Authors: Bai Xueyang , Wei Hua , Liu Gangqiong , Li Ling
Published: February 2025

Background

Doxorubicin (DOX) is a powerful chemotherapeutic agent commonly employed in cancer treatment. However, its clinical utility is constrained by dose-dependent cardiotoxicity, which can result in heart failure and sudden cardiac death. The molecular mechanisms of DOX-induced cardiotoxicity (DIC) include oxidative stress, mitochondrial dysfunction, and the activation of cell death pathways, including ferroptosis. There is an urgent need for effective therapeutic strategies to mitigate DIC.

Methods

This study investigates the cardioprotective effects of Astragalus Polyphenols (ASP), a bioactive compound extracted from Astragalus membranaceus. In the context of DIC, we utilized AC16 and H9C2 cardiomyocytes to establish a DIC model and assessed the effects of ASP on cell viability, oxidative stress, mitochondrial function, and the PI3K/AKT/NRF2 signaling pathway. The expression of atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP), markers of cardiac injury, was also evaluated.

Results

ASP treatment significantly reversed DOX-induced reductions in cell viability and mitochondrial membrane potential (MMP) while also decreasing the levels of reactive oxygen species (ROS). Additionally, ASP also downregulated the expression of ANP and BNP, indicating a protective effect on cardiomyocytes. Furthermore, ASP activated the PI3K/AKT/NRF2 pathway, which was suppressed by DOX. Inhibition of this pathway using LY294002 and ML385 abolishes the protective effects of ASP, suggesting that ASP mediates its effects through the PI3K/AKT/NRF2 signaling axis.

Conclusion

ASP exhibits a protective effect against DOX-induced cardiotoxicity by regulating the PI3K/AKT/NRF2 pathway to reduce oxidative stress and preserve mitochondrial function. These findings suggest that ASP may serve as a potential therapeutic agent to alleviate DIC. Our results provide a novel strategy to protect the heart in patients undergoing DOX chemotherapy.
Chemical composition and biological activity of lemongrass volatile oil and n-Hexane extract: GC/MS analysis, in vitro and molecular modelling studies
Authors: Aly Shaza H. , Uba Abdullahi Ibrahim , Nilofar Nilofar , Majrashi Taghreed A. , El Hassab Mahmoud A. , Eldehna Wagdy M. , Zengin Gokhan , Eldahshan Omayma A.
Published: February 2025

Lemon grass, formally identified as Cymbopogon citratus, is a plant that belongs to the Poaceae family. The present work aimed to examine the chemical composition by GC/MS analysis and assess the biological potential of C. citratus volatile oil and n-hexane extract. The volatile oil and n-hexane extract were evaluated for antioxidant potential and tested for their enzyme inhibition against tyrosinase, butyrylcholinesterase (BChE), acetylcholinesterase (AChE), α-amylase, and α-glucosidase. The chemical analysis of the lemongrass n-hexane extract (HE) and volatile oil (VO) revealed that the main constituents in the HE are aliphatic hydrocarbons (42.98%), triterpenoids (20.14%), and aromatic hydrocarbons (17.25%). Conversely, the main constituents of the (VO) are predominantly monoterpenes, namely α-citral (36.08%), β-citral (34.22%), and β-myrcene (13.84%). The oil showed more potent antioxidant potential in DPPH, ABTS, CUPRAC, FRAP, and phosphomolybdenum (10.18, 35.69 mg Trolox equivalent/g, 98.97 and 69.73 mg Trolox equivalent/g and 43.01 mmol Trolox equivalent/g). The HE displayed higher BChE (1.53 mg Galanthamine equivalent)/g), as well as α-amylase and α-glucosidase inhibitory activities (0.39 and 2.40 mmol Acarbose equivalent/g). The VO demonstrated more potent tyrosinase inhibitory activities (57.19 mg Kojic acid equivalent/g) along with acetyl and butyrylcholinesterase inhibition. Dominant compounds exhibited the ability to bind with high affinity to various target proteins, with a particular affinity for AChE and BChE. The volatile oil and n-hexane extract of C. citratus show significant promise as a viable choice for the advancement of novel therapeutic strategies aimed at addressing oxidative stress, neurodegeneration, and diabetes.
Evaluation of psychiatric conditions in asymptomatic outpatient clinic patients
Authors: Erinc Osman , Yesilyurt Soner
Published: February 2025

Introduction

A significant part of the internal medicine outpatient clinic burden consists of patients who are asymptomatic and intend to have routine check-up tests. In this study, we aimed to investigate the relationship between visit frequency within a year and the undiagnosed anxiety, depressive mood or obsessive-compulsive disorder.

Methods

We included in our study 129 participants who applied for routine check-up tests to our hospital’s internal medicine outpatient clinic, without any complaint and known diseases. Individuals were divided into two groups: Group 1 comprised individuals who applied once a year, whereas Group 2 included those who applied more than once a year. Participants underwent routine blood testing, and their mental health was assessed with the Beck`s Depression Inventory (BDI), Beck`s Anxiety Inventory (BAI), and Vancouver Obsessinal Compulsive Inventory (VOCI).

Results

66% of the 129 participants included in the study were female (n = 85/44, p < 0.001). When laboratory parameters were examined, no significant difference was found except serum vitamin D levels (14.5/19.8 µg/L, p = 0.024, respectively). BDI and BAI scores were statistically significantly higher in Group 2 (10/14, p = 0.032, 11/13.5, p = 0.027, respectively). There was no difference between the two groups in terms of VOCI scores.

Conclusion

Asymptomatic patients who are visiting clinics for routine checkups constitute a significant part of the outpatient clinic workload. Assessing the mental health of patients who are attending frequently might be helpful in reducing this burden as well as in diagnosing and initiating treatment of undiagnosed underlying mental disorders. To ensure timely referrals of these patients to psychiatry, an adequate referral system and awareness of early signs of anxiety and depression among healthcare professionals are needed.
Prestimulus functional connectivity reflects attention orientation in a prospective memory task: A magnetoencephalographic (MEG) study
Authors: Vicentin Stefano , Cona Giorgia , Marino Marco , Bisiacchi Patrizia , Mantini Dante , Arcara Giorgio
Published: February 2025

Prospective Memory (PM) is the ability to encode an intention in memory and retrieve it at the right time in the future. After the intention is formed, it must be maintained in memory while simultaneously monitoring the environment until the occurrence of the stimulus associated with its retrieval. Therefore, monitoring and maintenance processes must work in conjunction to subserve PM processing (monitoring/maintenance phase). Several brain regions play a role in PM, such as the anterior prefrontal cortex, inferior parietal lobules, and precuneus. Notably, these regions belong to different brain networks and are differently involved depending on the memory and attentional requests of the PM task. In this study, we investigate the neural bases of PM from a network perspective, using functional connectivity (FC) analysis to identify the networks involved in the attentional and memory mechanisms underlying PM. To this end, we analyzed MEG data collected in two different PM conditions, enhancing either the monitoring (i.e., attention) or the maintenance (i.e., memory) loads of the PM task. To disentangle the neural correlates of these mechanisms from other processes occurring after stimulus presentation, the analysis focused on the prestimulus time window (monitoring/maintenance phase). The monitoring-load condition was characterized by increased inter-network FC of the Dorsal Attention Network (DAN) in the alpha band, a marker of increased top-down monitoring. In contrast, the maintenance-load condition was associated with increased connectivity of the Ventral Attention Network (VAN) with the FrontoParietal Control and the Default-Mode Networks (FPCN and DMN, respectively). Additionally, response times were found to correlate with prestimulus alpha connectivity of different networks in the two conditions. These differences in connectivity within and between networks support the hypothesis that different networks (DAN, or VAN and DMN) and mechanisms (top-down or bottom-up, respectively) are involved in PM processing depending on the features of the PM task.
Implications of tissue specific STING protein flux and abundance on inflammation and the development of targeted therapeutics
Authors: Angel Thomas E. , Chen Zhuo , Moghieb Ahmed , Ng Sze-Ling , Beal Allison M. , Capriotti Carol , Azzarano Leonard , Comroe Debra , Adam Michael , Moore Patrick , Hoang Bao , Blough Kelly , Kuziw Joanne , Ramanjulu Joshi M. , Pesiridis G. Scott
Published: February 2025

Drugs targeting the ER-resident innate immune receptor Stimulator of Interferon Genes (STING) are in development for treatments of cancer and inflammatory diseases. Accurate determination of STING receptor levels in normal and disease tissue is an essential component of modeling pharmacology and drug-target disposition. Using metabolic labeling with deuterium oxide paired with high resolution mass spectrometry, we report the protein fractional synthesis rates and turnover of STING in wild-type (C57BL/6) and inflamed mice carrying the Trex1 D18N mutation (Trex1D18N) as a STING-dependent model of human Acardi-Goutiéres syndrome. Remarkably, STING protein half-life is tissue specific with the shortest half-life of 4 days in colon and lymph node and longest half-life of 24 days in skeletal muscle. Despite the relative increase in STING protein abundance in the inflamed Trex1D18N mouse, the overall kinetics of protein degradation and resynthesis was similar between Trex1D18N and WT mice. The extent of tissue specific interferon stimulated gene transcription, a hallmark of SLE linked pathophysiology, correlates with the extend of increased STING levels in Trex1D18N tissues and appears inversely proportional to the turnover rate of STING. Understanding STING’s fractional protein synthesis rate and half-life provides a valuable component of quantitative modeling of drug pharmacology, dose frequency and targeting tissues of STING directed therapies.
Community emergency management policy in China using a policy text tool
Authors: Du Hehua , Wang Xingyue
Published: February 2025

Systematically analyzing the current status and problems of the Community Emergency Management Policy (CEMP) system in China and proposing practical suggestions that are conducive to subsequent policy formulation and improvement are important for improving community emergency management capabilities and levels and promoting sustainable community development. Based on the two-dimensional analysis framework of “policy tools–policy objectives”, this paper draws from content analysis and social network analysis, quantitatively analyzing the CEMP texts at the national level from 2004 to 2024. The results show that the CEMP system in China has essentially taken shape, but there are still some problems, such as the uneven use of policy tools, the unbalanced internal structure of policy tools, the large distribution gap of policy objective elements, and the adaptability between policy tools and policy objectives, which needs to be improved. Given these results, we suggest 1) Appropriately increasing the frequency of using demand-type policy tools and effectively optimizing the internal structure of the three main types of policy tools; 2) Comprehensively deepening the reform of CEMP objectives; and 3) Reasonably improving the adaptability between policy tools and objectives.
Capsicum chinense Jacq. fruit plays an immunomodulatory role in cytokine attenuation and DNA damage protection
Authors: Saha Srabonti , Hossain Md. Altaf , Ferdousi Humayra , Deen Jobaier Ibne , Chowdhury Akhlak , Mannan Md. , Khan Md. Asif Nadim , Rahman Md. Atiar
Published: February 2025

Capsicum chinense (C. chinense) Jacq., recognized for its bioactive compounds, has attracted interest due to its possible immunomodulatory and DNA-damage-protective effects. This study aimed to assess the immunomodulatory, anti-inflammatory, and DNA protection abilities of organic extracts (methanol, ethyl acetate, and petroleum ether) from C. chinense. The immunomodulatory effects were evaluated in Long Evans rats induced with SRBC. At the same time, the anti-inflammatory potential was investigated in LPS-stimulated RAW264.7 macrophages by quantifying pro-inflammatory mediators such as COX-2, iNOS, TNF-α, IL-β, and IL-6. Protective activity against DNA damage was assessed using a method that induces damage with a Fenton reagent. Cytotoxicity was tested on the Hela cell line to gauge the cellular effects of the extracts. The results demonstrated that higher doses (200 mg) of C. chinense methanol extract inhibited immune responses, whereas lower doses helped restore them. The extracts significantly decreased pro-inflammatory mediators and cytokines in LPS-activated macrophages. Both petroleum ether and methanol extracts showed higher cytotoxicity against Hela cells compared to the ethyl acetate extract. The protein levels recorded in the serological parameters were 5.74 ± 0.19, 5.36 ± 0.11, 5.74 ± 0.26, 6.02 ± 0.16, 6.18 ± 0.18, and 6.22 ± 0.20 gm/dL for NC, DC, ML, MLMExCC100, MLMExCC200, and MExCC100, respectively. These findings suggest that C. chinense extracts possess strong immunomodulatory effects and potential protection against DNA damage, supporting their therapeutic application in regulating the innate immunity system.
Plasma attenuates endothelial injury compared to crystalloids in a ventilated rat pneumosepsis model
Authors: van den Brink Daan P. , Kleinveld Derek J.B. , Polet Chantal A. , Veltman Hendrik , Roelofs Joris J.T.H. , Weber Nina C. , Juffermans Nicole P.
Published: February 2025

Background

The dysregulated immune response during sepsis involves endothelial injury, which may be augmented by infusion of clear fluids such as crystalloids. Plasma has been suggested as an alternative resuscitation fluid but it is unclear whether previously observed benefits were due to the type of fluid, or due to less volume required to restore tissue perfusion. We hypothesized that resuscitation with plasma reduces endothelial injury, inflammation, and organ injury compared to similar and higher volumes of crystalloids in a rat pneumosepsis model.

Methods

Rats were intratracheally inoculated with Streptococcus Pneumoniae to induce pneumosepsis. Twenty-four hours after inoculation, animals were randomized to 4 groups: healthy controls (non-resuscitated, n = 6), 10 ml/kg/hr (standard-volume, n = 11) crystalloid resuscitation, 3.33 ml/kg/hr (low-volume, n = 11) crystalloid resuscitation or 3.33 ml/kg/hr plasma resuscitation (n = 11). Plasma markers of inflammation and endothelial injury were measured. Organs were harvested for histology and wet-to-dry weight ratio determination.

Results

Inoculated animals developed pneumosepsis, with lower mean arterial pressures (p < 0.001) and higher lactate levels (p < 0.001) compared to healthy controls. Animals resuscitated with plasma showed a trend towards lower syndecan-1 levels compared to the standard-volume crystalloid group (82 vs 99 ng/mL, p = 0.06) and had lower levels of VCAM-1 (424 vs 592 ng/mL, p < 0.01) compared to the standard volume crystalloid group, but not when compared to the low-volume crystalloid group. Other markers of endothelial injury or inflammation were not significantly different between groups. No significant differences were observed in histologic injury scores and wet-to-dry ratios.

Conclusion

Plasma resuscitation modestly reduces endothelial injury compared to crystalloid resuscitation. This effect might be attributed to decreased resuscitation volumes rather than the type of fluid.
Vocational rehabilitation for people with multiple sclerosis in the national health service of the United Kingdom: A realist evaluation
Authors: De Dios Perez Blanca , Booth Vicky , das Nair Roshan , Evangelou Nikos , Hassard Juliet , Ford Helen L. , Newsome Ian , Radford Kate
Published: February 2025

Background

There is limited evidence about how vocational rehabilitation (VR) for people with multiple sclerosis (MS) can be delivered through the United Kingdom’s (UK) National Health Service (NHS) and how it works.

Aim

To understand the mechanisms and context for implementing a VR intervention for people with MS in the NHS and develop an explanatory programme theory.

Methods

A realist evaluation, including a review of evidence followed by semi-structured interviews. A realist review about VR for people with MS in the NHS was conducted on six electronic databases (PubMed, MEDLINE, PsychINFO, Web of Science, CINAHL, and EMBASE) with secondary purposive searches. Included studies were assessed for relevance and rigour. Semi-structured interviews with people with MS, employers, and healthcare professionals, were conducted remotely. Data were extracted, analysed, and synthesised to refine the programme theory and produce a logic model.

Results

Data from 13 studies, and 19 interviews (10 people with MS, five employers, and four healthcare professionals) contributed to producing the programme theory. The resulting programme theory explains the implementation of VR in the NHS for MS populations, uncovering the complex interplay between the healthcare and employment sectors to influence health and employment outcomes. VR programmes that offer timely support, tailored to the needs of the person with MS, and that support and empower the employee beyond the healthcare context are most likely associated with improved employment outcomes, for example, job retention.

Conclusion

Embedding VR support within the NHS requires substantial cultural and organisational change (e.g., increased staff numbers, training, and awareness about the benefits of work). This study emphasises the need to routinely identify people with MS at risk of job loss and follow a collaborative approach to address employment issues. This realist evaluation provides insight on how to improve the quality of care available to people with MS.
The ancient and helical architecture of Elasmobranchii’s spermatozoa enables progressive motility in viscous environments
Authors: Boryshpolets Sergii , Dzyuba Borys , García-Salinas Pablo , Bloomfield-Gadêlha Hermes , Gallego Victor , Sotnikov Anatoliy , Asturiano Juan F.
Published: February 2025

Subclass Elasmobranchii belongs to an old evolutionary class of Chondrichthyes that diverged 450 mya, presenting a wide diversity of reproductive strategies while preserving the ancient mode of internal fertilization. Despite such evolutionary success, many species in this group are at serious risk of extinction. Understanding the principles of sperm progressive motility and physiology of such an ancient group of vertebrates is crucial for advancing future assisted reproductive techniques to safeguard this species and for deepening our understanding of the evolution of reproduction. Elasmobranchii species possess big spermatozoa (compared to bony fishes) with an elongated helical head and tail similar to one currently existing (but later diverged) in birds, reptiles, and amphibians, which can be considered an evolutionary ancient. These structures may be associated with the necessity to penetrate viscous ovarian fluid or the jelly layer of eggs, suggesting environmental viscosity as the driving pressure shaping large-sized sperm heads into helical shapes through evolution. We observed spermatozoa motility with high-speed video microscopy to capture sperm and flagellar motion in three Elasmobranchii species: the freshwater ray Potamotrygon motoro, the marine skate Raja asterias and the shark Scyliorhinus canicula. We investigated the effect of viscosity on spermatozoa motility parameters and its ability to break free from spermatozeugmata, move progressively, and perform directional changes. After 20 min of observation, the spermatozeugmata conserved their structure in a low viscosity media of 1000 mOsm/kg osmolality. In comparison, no remaining structure of spermatozeugmata could be found in high-viscosity media with 2% methylcellulose (MC) in all three species due to progressive spermatozoa motion. We find that spermatozoa’s unique helical head-to-flagellum architecture is specific to promote locomotion in high-viscosity fluid; they cannot move progressively in low viscosity. The highest velocity for shark sperm was observed at 0.75% MC and 1% MC for ray and skate sperm. Viscosity stabilizes the flagellar propagation, producing rotational forces and allowing the helical head to “screw” into the media. Our observations suggest that the surrounding viscosity is critical to allowing spermatozoa progressive motility and enabling spermatozoa to control direction via newly observed head buckling in high viscosity. As such, the viscosity may be a key element controlling and regulating sperm performance and navigation during fertilization in the Elasmobranchii species.
Poor sleep patterns are associated with the prevalence of benign prostatic hyperplasia in US aged 40 and older: A cross-sectional study based on NHANES
Authors: Zhao Dingliang , Han Junjie , Lv Chengsen , Gao Jialin
Published: February 2025

Background

The connection between sleep patterns (sleep duration, trouble sleeping and sleep disorders) and benign prostatic hyperplasia, commonly referred to as BPH, is not yet clear. Our aim is to investigate the impact of sleep patterns on BPH risk in US men aged 40 and older.

Methods

We performed an observational analysis using data from NHANES 2005–2008 on males aged 40 and up, including a total of 2,555 participants. After accounting for confounding variables, we applied weighted multivariable logistic regression to assess the relationship between sleep patterns and BPH risk according to the complex multi-stage sampling design of NHANES.

Results

In this study, 11.79% of the 2,555 American participants aged over 40 reported to have BPH. after adjusting for confounding variables, multivariable logistic regression analysis showed that short sleep duration, compared to healthy sleep duration (7–9 hours), was linked to a significantly higher risk of BPH (OR: 1.92, 95% CI: 1.42–2.41). Trouble sleeping and sleep disorder were also strongly associated with BPH. Moreover, there appears to be a stronger association among those with poor sleep patterns (OR: 2.07, 95% CI: 1.46–2.91).

Conclusion

Poor sleep patterns in men over 40 in the U.S. is significantly linked to a higher incidence of benign prostatic hyperplasia.
Machine learning for predicting antimicrobial resistance in critical and high-priority pathogens: A systematic review considering antimicrobial susceptibility tests in real-world healthcare settings
Authors: Ardila Carlos M. , González-Arroyave Daniel , Tobón Sergio
Published: February 2025

Background

Antimicrobial resistance (AMR) poses a worldwide health threat; quick and accurate identification of AMR enhances patient outcomes and reduces inappropriate antibiotic usage. The objective of this systematic review is to evaluate the efficacy of machine learning (ML) approaches in predicting AMR in critical and high-priority pathogens (CHPP), considering antimicrobial susceptibility tests in real-world healthcare settings.

Methods

The search methodology encompassed the examination of several databases, such as PubMed/MEDLINE, EMBASE, Web of Science, SCOPUS, and SCIELO. An extensive electronic database search was conducted from the inception of these databases until November 2024.

Results

After completing the final step of the eligibility assessment, the systematic review ultimately included 21 papers. All included studies were cohort observational studies assessing 688,107 patients and 1,710,867 antimicrobial susceptibility tests. GBDT, Random Forest, and XGBoost were the top-performing ML models for predicting antibiotic resistance in CHPP infections. GBDT exhibited the highest AuROC values compared to Logistic Regression (LR), with a mean value of 0.80 (range 0.77–0.90) and 0.68 (range 0.50–0.83), respectively. Similarly, Random Forest generally showed better AuROC values compared to LR (mean value 0.75, range 0.58–0.98 versus mean value 0.71, range 0.61–0.83). However, some predictors selected by these algorithms align with those suggested by LR.

Conclusions

ML displays potential as a technology for predicting AMR, incorporating antimicrobial susceptibility tests in CHPP in real-world healthcare settings. However, limitations such as retrospective methodology for model development, nonstandard data processing, and lack of validation in randomized controlled trials must be considered before applying these models in clinical practice.