bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between myocardial layer-specific strain and high 10-year risk of atherosclerotic cardiovascular disease in hypertension—findings from the China-PAR project study
Authors: Chen Jianxiong , Yang Xiaohuan , Li Xinyi , Jin Lin , Wu Lingheng , Zhang Mengjiao , Du Lianfang , Luo Xianghong , Li Zhaojun 
Published: October 2024

ObjectivesMyocardial layer-specific strain is a sensitive tool for detecting myocardial dysfunction. The objective of this study was to assess changes in the left ventricle (LV) function using myocardial layer-specific strain and its association with 10-year atherosclerotic cardiovascular disease risk (10Y-ASCVDR) in individuals with hypertension (HP).MethodsThe parameters of LV structure, including layer-specific global longitudinal strain (GLSww, GLSendo, GLSmid, GLSepi) and layer-specific global circumferential strain (GCSww, GCSendo, GCSmid, GCSepi), were analyzed by two-dimensional speckle-tracking echocardiography in 239 hypertensive patients and 124 control subjects. In addition, participants were divided into low-risk (LR) and high-risk (HR) subgroups according to 10Y-ASCVDR scores . The correlation between myocardial layer-specific strain and 10Y-ASCVDR was further analyzed by the restricted cubic spline (RCS) function.ResultsThe values of GLSww, GLSepi, GLSmid, and GLSendo were significantly lower in HP patients with HR than in HP patients with LR and controls (p &lt; 0.05). However, no significant differences in layer-specific GCS were observed between the groups (p &gt; 0.05). RCS analysis revealed that 10Y-ASCVDR exhibited a significant J-shaped relationship with layer-specific GLS and GCS. After adjusting for confounding factors, GLSww (β = 0.156, p = 0.042), GLSmid (β = 0.161, p = 0.032), GCSendo (β = 0.163, p = 0.024), and GCSmid (β = −0.175, p = 0.030) were identified as independent influencing factors for high 10Y-ASCVDR.ConclusionsIn hypertensive patients, myocardial layer-specific strain, especially GLS, sensitively detected LV dysfunction and showed a significant J-shaped relationship with 10Y-ASCVDR. GCSmid may have a compensatory effect on myocardial impairment. LV myocardial layer-specific strain may help to understand the early compensatory mechanisms of the myocardium in hypertension.
Unlocking innovation: how enjoyment drives GenAI use in higher education
Authors: Cano Jhon R. , Nunez Nicolas A. 
Published: October 2024

IntroductionGenerative Artificial Intelligence (Gen AI) is rapidly transforming education holds immense potential for enhancing learning experiences and fostering innovation skills crucial for success in today’s rapidly changing job market. However, successful integration depends on student adoption. This study investigates factors influencing business students’ intention to use Gen AI in Innovation courses, focusing on the role of Perceived Enjoyment.MethodA cross-sectional predictive analysis was conducted using data from 92 business undergraduate students in a Peruvian higher education institution. A survey questionnaire, adapted from Teo and Noyes, was used to measure perceived enjoyment, usefulness, ease of use, attitude toward, and intention to use Gen AI tools.ResultsThe study found a strong positive relationship between Perceived Enjoyment and the intention to use Gen AI in Innovation courses. Furthermore, Perceived Enjoyment was positively associated with perceived ease of use. Interestingly, perceived usefulness did not show a significant effect on the intention to use Gen AI.ConclusionOur finding challenges the traditional emphasis on perceived usefulness as the primary driver of technology acceptance. Instead, our results suggest that prioritizing user enjoyment and ease of use in the design and implementation of Gen AI tools may be a more effective strategy for promoting their adoption in educational settings. This shift in focus from utility to experience could be crucial in unlocking the full potential of Gen AI to transform education.
Age and gender influence on clinical manifestations of thyroid-associated ophthalmopathy: a case series of 2479 Chinese patients
Authors: Yang Mei , He Weimin 
Published: October 2024

BackgroundSignificant individual differences exist in the clinical manifestations of thyroid-associated ophthalmopathy (TAO). Age and gender have an impact on the presentation and severity of TAO.ObjectiveTo evaluate the clinical characteristics of TAO patients, with particular consideration of their age and gender.MethodsDemographic and clinical data of 2479 TAO patients were collected. Patients were divided into 7 groups based on age: Group 1: ≤18 years old; Group 2: 19-29 years old; Group 3: 30-39 years old; Group 4: 40-49 years old; Group 5: 50-59 years old; Group 6: 60-69 years old; Group 7: ≥70 years old. Compared clinical manifestations among different groups and between males and females.ResultIn age group 1, the ratio of female to male TAO patients was 3.79, and in age group 7, it was 0.86. As age increased, there was a decline in the percentage of females (γ=-0.168, p&lt;0.001). During the aging process, the proportion of TAO patients with unilateral involvement also gradually decreased (γ=-0.23, p&lt;0.001). In addition, the proportion of TAO patients with upper eyelid retraction ≥2mm and exophthalmometry ≥17mm also decreased (γ=-0.158, p&lt;0.001, γ=-0.23, p&lt;0.001). In comparison to males, females with TAO showed a higher proportion of unilateral eye involvement and upper eyelid retraction ≥2mm (p=0.038, p&lt;0.001). However, males had a higher proportion of exophthalmometry ≥17mm (p&lt;0.001). The proportions of patients with eye movement disorder (γ=0.535, p&lt;0.001), diplopia (γ=0.446, p&lt;0.001), intraocular pressure (IOP) ≥30mmHg (γ=0.149, p&lt;0.001), sight-threatening TAO (γ=0.479, p&lt;0.001), and active TAO (γ=0.469, p&lt;0.001) were positively correlated with age in TAO patients. Additionally, the proportion of male patients is higher than that of female patients.ConclusionTAO Patients exhibit different clinical features depending on age and gender. In elderly and male patients, TAO tends to be more severe, with a higher prevalence of eye muscle involvement, IOP ≥30mmHg, active phases, and a lower proportion of patients with upper eyelid retraction ≥2mm. Elderly female patients also have a lower proportion of exophthalmometry ≥17mm.
Knowledge landscape of tumor-associated neutrophil: a bibliometric and visual analysis from 2000-2024
Authors: Xiao Chaoyue , Feng Xiang , Aini Wufuer , Zhao Zengyi , Ding Gouping , Gao Yawen 
Published: October 2024

BackgroundNeutrophils have long been consistently adjudged to hold a dominant position in acute inflammation, which once led people to undervalue their role in chronic malignancy. It is now acknowledged that neutrophils also infiltrate into the tumor microenvironment in substantial quantities and form a highly abundant immune population within the tumor, known as tumor-associated neutrophils (TANs). There has been a surge of interest in researching the eminent heterogeneity and plasticity of TANs in recent years, and scholars increasingly cotton on to the multifaceted functions of TANs so that strenuous endeavors have been devoted to enunciating their potential as therapeutic targets. Yet it remains much left to translate TAN-targeted immunotherapies into clinical practice. Therefore, there is great significance to comprehensively appraise the research status, focal point, and evolution trend of TAN by using bibliometric analysis.MethodsPublications related to TAN research from 2000 to 2024 are extracted from the Web of Science Core Collection. Bibliometric analysis and visualization were performed by tools encompassing Microsoft Excel, VOSviewer, CiteSpace, R-bibliometrix, and so on.ResultsThe bibliometric analysis included a total of 788 publications authored by 5291 scholars affiliated with 1000 institutions across 58 countries/regions, with relevant articles published in 324 journals. Despite China’s maximum quantity of publications and top 10 institutions, the United States is the leading country with the most high-quality publications and is also the global cooperation center. FRONTIERS IN IMMUNOLOGY published the most papers, whereas CANCER RESEARCH is the highest co-cited journal. Israeli professor Fridlender, Zvi G. is the founder, pioneer, and cultivator with the highest citation counts and H-index in the TAN area. Our analysis prefigures the future trajectories: TAN heterogeneity, neutrophil extracellular trap, the crosstalk between TANs and immunocytes, and immunotherapy will likely be the focus of future research.ConclusionA comprehensive bibliometric and visual analysis is first performed to map the current landscape and intellectual structure of TAN, which proffers fresh perspectives for further research. The accurate identification of distinct TAN subpopulations and the precise targeting of key pro-tumor/anti-tumor subpopulations hold immense potential to develop into a TAN-targeted immunotherapy.
Development of a risk prediction model for the first occurrence of thrombosis in patients with OAPS
Authors: Gao Jie , Zheng Yan , Wang Zhuo , Jia Junfeng , Wan Jian , Han Qing , Zheng Xi , Liu Renli , Zheng Zhaohui , Wu Kaichun , Zhu Ping 
Published: October 2024

ObjectivesThe aim of this study is to assess the risk factors associated with thrombotic events in obstetric antiphospholipid syndrome (OAPS) patients and to develop a predictive model specifically tailored to predict the risk of postpartum thrombosis in OAPS patients without prior thrombotic events. This research seeks to enhance clinician’s awareness regarding the postpartum care and monitoring of OAPS patients.MethodsA retrospective study was conducted at the First Affiliated Hospital of the Fourth Military Medical University including 269 consecutive inpatients diagnosed with antiphospholipid syndrome (APS) from July 1, 2008 to July 31, 2022. All participants met the 2006 Sydney APS classification criteria or the “non-criteria OAPS classification”. Out of 98 candidate clinical and laboratory parameters considered, 40 potential variables were selected for analysis based on expert opinion. The logistic regression mode with the Least Absolute Shrinkage and Selection Operator (LASSO) were used to identify optimal predictive characteristics. All samples were included in the model building and a nomogram was generated based on these characteristics. The differentiation, calibration, and clinical utility of the predictive model were evaluated using the area under the curve (AUC), calibration curve, and decision curve analysis. The model was also validated by a 1000 bootstrap tests.Results126 patients with OAPS were enrolled, and a total of 89 OAPS patients who had never experienced thrombosis were retrospectively analyzed. After 3 years follow-up, 32.58% of the patients (29/89) developed thrombosis. In order to create, LASSO logistic regression identified three optimal variables: the platelet count less than 125×109/L, more than one positive aPLs (antiphospholipid antibody), and the use of low molecular weight heparin (LMWH) or low dose aspirin (LDA) after delivery. A predictive model was conducted using these three predictive indicators for patients with OAPS who experience thrombosis for the first-time. This prediction model has good distinction, good calibration, and fair clinical practicality.ConclusionOur model has good predictive ability in assessing the risk of thrombosis in patients with OAPS without prior thrombotic events. This model is easy to predict, has good discriminability and calibration, and can be utilized as a routine tool for thrombus screening in OAPS patients.
Causal relationship between plasma metabolites and carpal tunnel syndrome risk: evidence from a mendelian randomization study
Authors: Wu Wenbao , Fan Daofeng , Zheng Chong , Que Binfu , Lian Qing qing , Chen Yangui , Qiu Rui 
Published: October 2024

BackgroundCarpal tunnel syndrome (CTS) is a common symptom of nerve compression and a leading cause of pain and hand dysfunction. However, the underlying biological mechanisms are not fully understood. The aim of this study was to reveal the causal effect of circulating metabolites on susceptibility to CTS.MethodsWe employed various Mendelian randomization (MR) methods, including Inverse Variance Weighted, MR-Egger, Weighted Median, Simple Mode, and Weighted Model, to examine the association between 1,400 metabolites and the risk of developing CTS. We obtained Single-nucleotide polymorphisms (SNPs) associated with 1,400 metabolites from the Canadian Longitudinal Study on Aging (CLSA) cohort. CTS data was derived from the FinnGen consortium, which included 11,208 cases and 1,95,047 controls of European ancestry.ResultsThe results of the two-sample MR study indicated an association between 77 metabolites (metabolite ratios) and CTS. After false discovery rate (FDR) correction, a strong causal association between glucuronate levels (odd ratio (OR) [95% CI]: 0.98 [0.97–0.99], p FDR = 0.002), adenosine 5′-monophosphate (AMP) to phosphate ratio (OR [95% CI]:0.58 [0.45–0.74], p FDR = 0.009), cysteinylglycine disulfide levels (OR [95% CI]: 0.85 [0.78–0.92], p FDR = 0.047) and CTS was finally identified.ConclusionIn summary, the results of this study suggest that the identified glucuronate, the ratio of AMP to phosphate, and cysteinylglycine disulfide levels can be considered as metabolic biomarkers for CTS screening and prevention in future clinical practice, as well as candidate molecules for future mechanism exploration and drug target selection.
MRI radiomics combined with machine learning for diagnosing mild cognitive impairment: a focus on the cerebellar gray and white matter
Authors: Lin Andong , Chen Yini , Chen Yi , Ye Zhinan , Luo Weili , Chen Ying , Zhang Yaping , Wang Wenjie 
Published: October 2024

ObjectiveMild Cognitive Impairment (MCI) is a recognized precursor to Alzheimer’s Disease (AD), presenting a significant risk of progression. Early detection and intervention in MCI can potentially slow disease advancement, offering substantial clinical benefits. This study employed radiomics and machine learning methodologies to distinguish between MCI and Normal Cognition (NC) groups.MethodsThe study included 172 MCI patients and 183 healthy controls from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, all of whom had 3D-T1 weighted MRI structural images. The cerebellar gray and white matter were segmented automatically using volBrain software, and radiomic features were extracted and screened through Pyradiomics. The screened features were then input into various machine learning models, including Random Forest (RF), Logistic Regression (LR), eXtreme Gradient Boosting (XGBoost), Support Vector Machines (SVM), K Nearest Neighbors (KNN), Extra Trees, Light Gradient Boosting Machine (LightGBM), and Multilayer Perceptron (MLP). Each model was optimized for penalty parameters through 5-fold cross-validation to construct radiomic models. The DeLong test was used to evaluate the performance of different models.ResultsThe LightGBM model, which utilizes a combination of cerebellar gray and white matter features (comprising eight gray matter and eight white matter features), emerges as the most effective model for radiomics feature analysis. The model demonstrates an Area Under the Curve (AUC) of 0.863 for the training set and 0.776 for the test set.ConclusionRadiomic features based on the cerebellar gray and white matter, combined with machine learning, can objectively diagnose MCI, which provides significant clinical value for assisted diagnosis.
Acupuncture for early Parkinson’s disease with mild to moderate depression: a randomized controlled trial protocol with functional MRI
Authors: Xiao Hongli , Ren Yashuo , Yang Haosen , Wang Zixi , Li Zhuohao , Song Yuguo , Yuan Xiaojia , Liu Xiaopeng , Chen Peng 
Published: October 2024

IntroductionDepression is a common non-motor symptom of Parkinson’s disease (PD), which seriously affects the quality of life of patients with PD. The main clinical treatment method for depression in Parkinson’s disease is medication treatment. However, the medication treatment has a long cycle and many adverse reactions. Acupuncture as a non-pharmacological intervention method, has been widely used in the treatment of patients with Parkinson’s disease and depressive disorders in China. Therefore, the study of acupuncture in the treatment of early Parkinson’s disease with mild to moderate depression has important practical significance.Methods and analysisIn this randomized, single-blinded, and placebo-controlled study, a total of 88 patients with depression in Parkinson’s disease (DPD) will be randomly allocated to either an acupuncture group or a control group in parallel in a 1:1 allocation ratio. Each group will receive 30 min acupuncture treatments or sham acupuncture treatments, 3 times a week, for 12 weeks, followed by a 36-week follow-up period. The primary outcome is the response rate of the Hamilton Depression Rating Scale-17 at 12 weeks. Data will be collected at baseline, at the end of the 12-week treatment period, and during the 12-week and 36-week follow-up.DiscussionThis study hypothesized that acupuncture may treat DPD by restoring pathological alterations in brain neural activity. The findings will provide scientific evidence for acupuncture in the treatment of early PD with mild to moderate depression.Ethics and disseminationThis clinical trial has been approved by the Medical Ethics Committee of the Beijing Hospital of Traditional Chinese Medicine (Approval No. 2023BL02-013-01). This trial has been registered with the Chinese Clinical Trials Registry (Registration No. ChiCTR2300069310). The results will be published in a peer-reviewed academic journal.Clinical trial registrationhttps://www.chictr.org.cn/, identifier ChiCTR2300069310.
The possible connection between neutrophil-to-high-density lipoprotein ratio and cerebral perfusion in clinically established corticobasal syndrome: a pilot study
Authors: Chunowski Patryk , Migda Bartosz , Madetko-Alster Natalia , Migda Anna , Kutyłowski Michał , Królicki Leszek , Alster Piotr 
Published: October 2024

IntroductionProgressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) are tauopathic atypical parkinsonisms. Given their overlap in terms of clinical manifestation, there is growing interest in the mechanisms leading to these entities.Materials and methodsIn total, 71 patients were included in the study, 19 of whom were clinically diagnosed with CBS, 37 with PSP, and 15 with Parkinson's disease (PD). The mean ages of the participants were 72.8, 72.9, and 64.0 years, respectively, and the disease duration varied from 3 to 6 years. Each individual underwent blood collection. Morphological and biochemical evaluation of blood samples was performed to analyze the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-high-density lipoprotein ratio (NHR). A single-photon emission computed tomography (SPECT) with technetium-99m hexamethylpropyleneamine oxime (99Tc-HMPAO) tracer was used to assess perfusion in two regions of interest (ROI): the thalamus and insula. Using Pearson correlation to assess the linear relationship between NHR and perfusion in the insula and thalamus for CBS, PSP, and PD patients, the authors intended to verify possible correlations between NLR, PLR, and NHR and perfusion in the indicated ROIs.ResultsThe study revealed a negative linear correlation between NHR and perfusion of both the left (Insula L; R = −0.59) and right (Insula R; R = −0.58) insula regions. Similar to the insula, a linear correlation between NHR and activity in both the left (Thalamus L) and right (Thalamus R) thalamus regions in CBS subjects with a relatively stronger correlation in the right thalamus (R = −0.64 vs. R = −0.58) was found. These observations were not confirmed in PSP and PD patients.ConclusionSimultaneously using non-specific parameters for peripheral inflammation (NLR, PLR, and NHR) and perfusion, SPECT may be an interesting beginning point for further analysis of inflammatory disease mechanisms. To the best of our knowledge, this is the first study to address the potential correlation between the peripheral neuroinflammatory markers NLR, PLR, and NHR and perfusion disturbances in particular ROIs.
The effect of rhythmic stimuli with spatial information on sensorimotor synchronization: an EEG and EMG study
Authors: Zhang Huanqing , Xie Jun , Tao Qing , Ge Zengle , Xiong Yu , Xu Guanghua , Li Min , Han Chengcheng 
Published: October 2024

IntroductionSensorimotor synchronization (SMS) is the human ability to align body movement rhythms with external rhythmic stimuli. While the effects of rhythmic stimuli containing only temporal information on SMS have been extensively studied, less is known about how spatial information affects SMS performance. This study investigates the neural mechanisms underlying SMS with rhythmic stimuli that include both temporal and spatial information, providing insights into the influence of these factors across different sensory modalities.MethodsThis study compared the effects temporal information and spatial information on SMS performance across different stimuli conditions. We simultaneously recorded the electroencephalogram (EEG), the electromyogram (EMG), and behavioral data as subjects performed synchronized tapping to rhythmic stimuli. The study analyzed SMS performance under conditions including auditory, visual, and auditory-visual motion stimuli (containing both temporal and spatial information), as well as auditory, visual, and auditory-visual non-motion stimuli (containing only temporal information). Specifically, the research examined behavioral data (i.e., mean asynchrony, absolute asynchrony, and variability), neural oscillations, cortico-muscular coherence (CMC), and brain connectivity.ResultsThe results demonstrated that SMS performance was superior with rhythmic stimuli containing both temporal and spatial information compared to stimuli with only temporal information. Moreover, sensory-motor neural entrainment was stronger during SMS with rhythmic stimuli containing spatial information within the same sensory modality. SMS with both types of rhythmic stimuli was found to be dynamically modulated by neural oscillations and cortical-muscular coupling in the beta band (13-30 Hz).DiscussionThese findings provide deeper insights into the combined effects of temporal and spatial information, as well as sensory modality, on SMS performance. The study highlights the dynamic modulation of SMS by neural oscillations and CMC, particularly in the beta band, offering valuable contributions to understanding the neural basis of sensorimotor synchronization.