bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of comorbid burden on global left cardiac function and prediction models for myocardial function damage: a cardiac magnetic resonance feature-tracking study
Authors: Qu XiaoFeng , Bai Miaomiao , Lyu Jianbo , Yin Lili , Zhang Jiahui , Zhao Endong , Mei Lingjun 
Published: February 2025

ObjectiveThis study aimed to explore the effects of comorbid burden on left cardiac myocardial function in patients without organic heart disease and to construct prediction models for myocardial function damage.MethodsA total of 82 healthy individuals and 198 patients with comorbid burden who had normal left ventricular ejection fraction (LVEF) were recruited. Comorbid burden included hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia. Based on the number of comorbidities, the patients were divided into two groups: comorbid burden &lt;2 and comorbid burden ≥2. Cardiac magnetic resonance feature tracking (CMR-FT) was used to measure myocardial strain parameters.ResultsAfter adjustment, the left atrial (LA) reservoir strain (p = 0.011) and conduit strain (p &lt; 0.001) were significantly lower in patients with a comorbid burden ≥2. The left ventricular (LV) global longitudinal strain (p &lt; 0.001) and global radial strain (p = 0.010) were decreased in both the comorbid burden&lt;2 and comorbid burden≥2 groups. The LV global circumferential strain (p = 0.006) was reduced in the comorbid burder≥2 group. Comorbid burden combined with male sex, postprandial blood glucose (PBG), and fasting blood glucose (FBG) proved to be excellent predictors of LV myocardial function damage (AUC = 0.848). In contrast, comorbid burden combined with male sex was only a fair predictor of LA myocardial function damage (AUC = 0.651).ConclusionCMR-FT can detect left-sided myocardial function damage in patients with comorbid burden but without organic heart disease prior to a decrease in LVEF. Comorbid burden combined with male sex, PBG, and FBG showed excellent predictive ability for LV myocardial function damage. Comorbid burden combined with the male sex showed a fair predictive ability for LA myocardial function damage.
Exploring non-alcohol-based disinfectant: virucidal efficacy of arginine and Zinc chloride against feline calicivirus
Authors: Kong Li Ying Marcella , Masirevic Srdan , Tan Yong Wah , Marzinek Jan K. , Fox Stephen John , Verma Chandra S. , Bond Peter J. , Ishida Yoshiki , Liu Jiquan , Chua Chun Song , Chu Justin Jang Hann 
Published: February 2025

IntroductionNorovirus, a leading cause of acute gastroenteritis worldwide, is notably stable in the environment due to its non-enveloped nature. In the absence of effective vaccines or treatments, disinfection remains the primary prevention strategy, highlighting the importance of virucidal efficacy in household care products. Conventional effective disinfectants are predominantly alcohol-based, but alcohol is known to pose health risks, such as skin irritation. This study investigates a non-alcohol-based alternative, specifically a combination of Arginine and Zinc chloride (ZnCl2).MethodsUtilizing MS2 bacteriophage as a surrogate, we identified a robust combination of arginine and ZnCl2 that is effective against Feline Calicivirus (FCV), a mammalian virus surrogate model for Norovirus.ResultsOur results determined a 5 min contact time at pH 11 as optimal, achieving significant virucidal activity against FCV without pH-induced reversibility. Dynamic Light Scattering (DLS) and transmission electron microscopy (TEM) analyses suggested that the mechanism of action for the Arg-Zn2+-Arg complex does not involve capsid disruption. Further insights from molecular modeling studies revealed that the complex potentially inhibits FCV by occupying a key capsid binding pocket essential for Junctional Adhesion Molecule (JAM) receptor engagement, thereby preventing viral entry.ConclusionThese findings allow us to propose a novel and non-alcohol-based virucidal approach against viruses from the Caliciviridae family, highlighting the potential of Arg-Zn2+-Arg complexes in public health protection.
Lumbosacral plexopathy following alcohol-induced rhabdomyolysis: a case report
Authors: Seliverstova E. G. , Sinkin M. V. , Grin A. A. 
Published: February 2025

ObjectiveWe present a rare case of lumbosacral plexopathy secondary to alcohol-induced rhabdomyolysis.Case descriptionA 58-year-old male patient was admitted to the intensive care unit (ICU). He reported a sensation of weakness in both legs and a tingling sensation in his feet upon awakening post binge drinking. Magnetic resonance imaging (MRI) of the thoracic and lumbar spine did not reveal any intraspinal abnormalities. However, an MRI showed lesions with abnormal intensities in both paraspinal muscles. Serum creatine phosphokinase level was markedly elevated. A diagnosis of lumbosacral plexopathy following alcohol-induced rhabdomyolysis was determined by clinical findings, MRI data and an electrophysiological evaluation. Upon discharge, lower limb strength was significantly improved.DiscussionIn severe rhabdomyolysis, the resulting kidney injury and electrolyte imbalances can lead to systemic complications, including peripheral neuropathy or plexopathy. The exact mechanisms by which this occurs are not fully understood, however it is believed that the accumulation of toxic substances, electrolyte imbalances, and metabolic disturbances can contribute to nerve damage and dysfunction. Therefore, lumbosacral plexopathy should be included in the differential diagnosis of such cases, presenting with sudden leg weakness.
Investigation of protective effects of olanzapine on impaired learning and memory using behavioral tests in a rat model of Alzheimer’s disease
Authors: Komaki Somayeh , Amiri Parsa , Safari Samaneh , Abbasi Ebrahim , Ramezani-Aliakbari Fatemeh , Golipoor Mandana , Kourosh-Arami Masoumeh , Rashno Masome , Komaki Alireza 
Published: February 2025

IntroductionEvidence suggests that oxidative stress plays a critical role in the pathogenesis and progression of Alzheimer’s disease (AD). Consequently, antioxidants may mitigate neurotoxicity induced by beta-amyloid (Aβ) and potentially reduce cell death. Previous research has demonstrated that olanzapine (OLZ) possesses antioxidant and neuroprotective properties. In this study, we investigated the protective and therapeutic effects of OLZ on an animal model of AD induced by Aβ using behavioral assessments.MethodsRats were randomly assigned to one of five groups (n = 10 rats per group): a control group, a sham group that received an intracerebrovascular (ICV) injection of phosphate-buffered saline (the solvent for Aβ), an AD group that received an ICV injection of Aβ, an OLZ group that received OLZ via gavage for two months, and an AD + OLZ group that received OLZ for one month before and one month after AD induction.ResultsWe used the Elevated Plus Maze (EPM), Novel Object Recognition Test (NORT), Barnes Maze (BM), Passive Avoidance Test (PAT), and Morris Water Maze (MWM) to assess behavioral performance in the experimental rats. Aβ administration impaired cognition and increased anxiety-like behavior. Treatment with OLZ improved cognitive decline and reduced anxiety-like behavior in Aβ-infused rats.ConclusionOur findings suggest that OLZ can restore cognitive performance and alleviate anxiety-like behavior following Aβ injection. Thus, OLZ may have both preventive and therapeutic potential for AD and could be considered a viable pharmacological option.
Role of guanylate-binding protein 1 in the proliferation of invasive lung adenocarcinoma cells
Authors: Kumada Takashi , Mimae Takahiro , Tsubokawa Norifumi , Kushitani Kei , Takeshima Yukio , Miyata Yoshihiro , Okada Morihito 
Published: February 2025

BackgroundGuanylate-binding protein 1 (GBP1) is involved in the malignant progression of lung adenocarcinoma, particularly in the acquisition of invasive potential. However, its role in tumor proliferation and therapeutic viability in invasive lung adenocarcinomas remains unclear.MethodsThis study included 99 patients with invasive lung adenocarcinoma, excluding those with non-invasive lepidic components, who had undergone complete pulmonary resection. Immunohistochemical staining was performed to examine the presence of GBP1, and its prognostic significance was assessed using uni- and multi-variable Cox regression analyses. Additionally, the expression levels of GBP1 gene and protein levels were evaluated in lung adenocarcinoma cell lines (PC-9, A549, NCI-H322, NCI-H441, NCI-H820, and ABC-1), and its proliferative role in these cell lines was analyzed using specific inhibitors targeting GBP1.ResultsGBP1 expression was detected in 45 (45.5%) patients. The 5-year overall survival rates for GBP1-positive and -negative patients were 66.0% (95% confidence interval (CI): 46.3–80.0%) and 85.7% (95% CI: 72.0–93.0%), respectively (P = 0.029). The multivariable analysis demonstrated that GBP1 positivity was an independent factor for poor overall survival (hazard ratio [HR] = 2.52 [95% CI: 1.02–6.22], P = 0.045). GBP1 gene and protein were markedly expressed in NCI-H820 than in NCI-H322 and ABC-1. The inhibitor targeting GBP1 significantly suppressed the growth of NCI-H820 but not that of NCI-H322 or ABC-1.ConclusionsGBP1 is a prognostic factor that may be involved in the proliferation of invasive lung adenocarcinoma, suggesting that inhibiting GBP1 activity may be a promising therapeutic approach for lung adenocarcinoma patients expressing GBP1.
Effects of gastrointestinal symptoms on the efficacy of washed microbiota transplantation in patients with autism
Authors: Hu Dong-Xia , Lu Cai-Mei , Si Xin-Yu , Wu Qing-Ting , Wu Li-Hao , Zhong Hao-Jie , He Xing-Xiang 
Published: February 2025

ObjectiveWashed microbiota transplantation (WMT) has emerged as a promising therapeutic strategy for autism spectrum disorder (ASD), though the factors that influence its efficacy remain poorly understood. This study explores the impact of gastrointestinal (GI) symptoms on the effectiveness of WMT in ASD.MethodsClinical data encompassing ASD symptoms, GI disturbances, and sleep disorders were collected from patients with ASD undergoing WMT. The therapeutic impact of WMT and the contributing factors to its efficacy were assessed.ResultsWMT significantly reduced scores on the Aberrant Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS), and Sleep Disturbance Scale for Children (SDSC), alongside a significant reduction in the incidence of constipation, abnormal stool forms, and diarrhea (all p &lt; 0.05). After six courses of WMT, substantial reductions were observed in ABC, CARS, and SDSC scores, with increased treatment courses correlating with greater improvement (p &lt; 0.05). Multiple linear regression analysis revealed that WMT efficacy was enhanced in patients with pre-existing GI symptoms (diarrhea: β = 0.119, p &lt; 0.001; abnormal stool form: β = 0.201, p &lt; 0.001) and those receiving a higher number of treatment courses (β = 0.116, p &lt; 0.001). Additionally, the analysis indicated that treatment outcomes were more favorable in patients who had not undergone adjunct interventions (β = −0.041, p = 0.002), had a longer disease duration (β = 0.168, p = 0.007), and exhibited more severe disease symptoms (β = 0.125, p &lt; 0.001).ConclusionWMT significantly alleviates both ASD and GI symptoms, along with sleep disturbances, in affected individuals. Six treatment courses resulted in notable improvement, with increased course numbers further improving therapeutic outcomes. Furthermore, pre-treatment GI symptoms, such as diarrhea and abnormal stool forms, may influence the effectiveness of WMT. Notably, patients who did not receive additional interventions, had a prolonged disease duration, and presented with more severe symptoms experienced markedly improved treatment responses.
Negative rumination in depression subtypes with melancholic features and anxious distress
Authors: Wang Hong-li , Shi Xiao-ning , Zhao Jin-long , Jia Qiong , Xu Wei , Dun Wen-wen , Zhao Ying-ying 
Published: February 2025

BackgroundAberrant cognition is one of the crucial symptoms of depression. However, whether the negative rumination participates in depression with melancholic features or anxious distress remains unclear.MethodsIn this study, we addressed this issue by compiling a questionnaire that can comprehensively measure the negative cognitive processing bias in depression. We also conducted an exhaustive analysis of its influencing factors, including the subtype of depression, age, gender, age of onset, family history of mental disorder, and education year.ResultsWe found that depression increased negative attention bias, negative memory bias, negative interpretation bias, and negative rumination bias. Importantly, among the several dimensions of negative cognitive bias, negative rumination bias was more serious in the melancholic than anxious subgroup. Furthermore, Spearman rank correlation analysis showed that negative rumination bias correlates with family history and age of onset of depression.LimitationsWe mainly explored melancholic and anxiety subgroups and did not include other subtypes. Due to time constraints, we did not conduct long-term follow-ups or explore the neural mechanisms of the differences between depressive and anxious rumination.ConclusionOur results contribute to the existing literature on the psychological mechanisms underlying aberrant cognition in depression. These findings could provide guidance for clinical practice and individualized precision treatment of cognitive biases in major depressive disorder. Therefore, rumination-focused therapies would be tailored differently for melancholic versus anxious subgroups.
The relationship between e-Health literacy and cyberchondria in Iranian students of health sciences
Authors: Kalantari Amirreza , Valizadeh-Haghi Saeideh , Starcevic Vladan , Shahbodaghi Azam , Rahmatizadeh Shahabedin , Zayeri Farid , Khazaal Yasser 
Published: February 2025

IntroductionCyberchondria has been growing in recent years. Understanding the relationship between e-Health Literacy and Cyberchondria is important, as enhancing e-Health Literacy perhaps empower individuals to navigate online health information without experiencing Cyberchondria. The present study aimed to investigate levels of e-Health Literacy and Cyberchondria in Iranian students of health sciences and examine the relationship between e-Health Literacy and Cyberchondria.MethodsTo assess this, a sample of 241 undergraduate students of health sciences were recruited. They were administered two instruments for the assessment of e-Health Literacy and Cyberchondria: eHealth Literacy Scale (eHEALS) and Cyberchondria Severity Scale (CSS).ResultsFindings showed that the mean total CSS score was 72.61, while the mean total eHEALS score was 28.50. Students who reported having a chronic disease had a significantly higher mean total CSS score than those who considered themselves healthy. The correlation between the total eHEALS scores and total CSS scores was very weak (r = -0.074). Total eHEALS scores correlated significantly and negatively with the distress (r = -0.288) and compulsion (r = -0.163) CSS subscales and significantly and positively with the reassurance (r = 0.174) and excessiveness (r = 0.141) CSS subscales.ConclusionThe relationship between e-health literacy and cyberchondria is complex. While people may develop cyberchondria irrespective of the level of their e-health literacy, a high level of e-health literacy may be protective in terms of alleviating distress and problems in functioning that occur with excessive online health searches. These findings are likely to inform future studies in this area.
Revolutionizing e-health: the transformative role of AI-powered hybrid chatbots in healthcare solutions
Authors: Wah Jack Ng Kok 
Published: February 2025

IntroductionThe integration of Artificial Intelligence (AI) in healthcare, particularly through hybrid chatbots, is reshaping the industry by enhancing service delivery, patient engagement, and clinical outcomes. These chatbots combine AI with human input to provide intelligent, personalized interactions in areas like diagnostics, chronic disease management, and mental health support. However, gaps remain in trust, data security, system integration, and user experience, which hinder widespread adoption. Key challenges include the hesitancy of patients to trust AI due to concerns over data privacy and the accuracy of medical advice, as well as difficulties in integrating chatbots into existing healthcare infrastructures. The review aims to assess the effectiveness of hybrid AI chatbots in improving healthcare outcomes, reducing costs, and enhancing patient engagement, while identifying barriers to adoption such as cultural adaptability and trust issues. The novelty of the review lies in its comprehensive exploration of both technological advancements and the socio-emotional factors influencing chatbot acceptance.MethodsThe review follows a systematic methodology with four core components: eligibility criteria, review selection, data extraction, and data synthesis. Studies focused on AI applications and hybrid chatbots in healthcare, particularly in chronic disease management and mental health support, were included. Publications from 2022 to 2025 were prioritized, and peer-reviewed sources in English were considered. After screening 116 studies, 29 met the criteria for inclusion. Data was extracted using a structured template, capturing study objectives, methodologies, findings, and challenges. Thematic analysis was applied to identify four themes: AI applications, technical advancements, user adoption, and challenges/ethical concerns. Statistical and content analysis methods were employed to synthesize the data comprehensively, ensuring robustness in the findings.ResultsHybrid chatbots in healthcare have shown significant benefits, such as reducing hospital readmissions by up to 25%, improving patient engagement by 30%, and cutting consultation wait times by 15%. They are widely used for chronic disease management, mental health support, and patient education, demonstrating their efficiency in both developed and developing countries.DiscussionThe review concludes that overcoming these barriers through infrastructure investment, training, and enhanced transparency is crucial for maximizing the potential of AI in healthcare. Future researchers should focus on long-term outcomes, addressing ethical considerations, and expanding cross-cultural adaptability. Limitations of the review include the narrow scope of some case studies and the absence of long-term data on AI’s efficacy in diverse healthcare contexts. Further studies are needed to explore these challenges and the long-term impact of AI-driven healthcare solutions.
Age- and sex-related development of osteosarcopenia in the aging Octodon degus rodent model
Authors: Gallo-Soljancic Pablo , De Stefano Maria Egle , Lucas-Ochoa Ana-María , Sánchez-Rodrigo Consuelo , Cuemca-Bermejo Lorena , González-Cuello Ana-María , Fernández-Villalba Emiliano , Herrero María-Trinidad 
Published: February 2025

The increase in life expectancy in recent years has resulted in a higher incidence of age-related diseases. Among these, osteoporosis and sarcopenia, collectively known as osteosarcopenia, have the most significant impact on the quality of life, general health and frailty in the elderly. As for other age-related diseases, pre-clinical studies on these conditions are primarily limited by the availability of experimental model systems. The Octodon degus (O. degus) is a long-lived diurnal rodent identified as a potential tool in ageing research. However, age-related osteosarcopenia changes have not yet been explored. In this study, male and female O. degus from juvenile to senile ages were used (6 months–7 years old). Changes in the volume of several forelimbs and hindlimbs muscles, e.g., biceps femoris, triceps brachii, femur, and humerus, were evaluated using computed tomography. Aged animals showed a significant decrease in muscle volume in both hindlimbs and forelimbs, along with a significant reduction in cortical bone volume. With ageing, sex differences were also observed, with female O. degus showing greater cortical bone volume in both hind and forelimbs, and greater muscle mass in the sole hindlimbs, compared to male. These findings enhance the characterization of O. degus as a model to study age-related pathologies, also considering sex differences, and lay down solid foundations for future studies that can address in more detail the molecular mechanisms underlying the initiation and progression of osteosarcopenia.
Gender equality in smart sustainable cities: literature review
Authors: Ababneh Alaa , Lok Ka Leung , Abdeyazdan Hossein , Opoku Alex , Chen Charles 
Published: February 2025

IntroductionThe 2030 Agenda for Sustainable Development Goals (SDGs) has garnered significant attention globally, emphasizing the need for achieving the 17 goals that promote sustainable development. Among these, the fifth goal focuses on gender equality, which has become increasingly important in various nations. Notably, there is a recognized connection between SDG 11, which pertains to sustainable cities, and SDG 5. The concept of smart cities under SDG 11 is viewed as pivotal in enhancing gender equality. However, existing research exploring the relationship between smart cities and gender equality remains limited.MethodsThis study employs a bibliometric review technique utilizing the Bibliometrix tool to conduct a comprehensive analysis of literature related to SDG 5, SDG 11, and smart cities. This method allows for an extensive examination of existing research articles to identify trends and themes within the literature.ResultsThe analysis revealed that many research articles frequently cited terms associated with sustainability, community, design, transportation, and mobility. It was found that most studies focusing on SDG 5 and SDG 11 through the lens of smart cities primarily aim to: (1) Understand and promote sustainability principles. (2) Address social issues. (3) Develop inclusive solutions. (4) Improve transportation for women and their commuting needs. Additionally, there is a noted increase in scholarly interest regarding health and climate issues about SDGs 5 and 11.DiscussionThe findings indicate a significant gap in the literature concerning the interplay between smart cities and gender equality, suggesting that further research is necessary to understand this relationship fully. The emphasis on sustainability principles and inclusive solutions highlights the potential for smart city initiatives to contribute positively to gender equality. As interest in health and climate issues grows within this context, it underscores the need for integrated approaches that address multiple dimensions of sustainable development while promoting gender equity.