bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vitamin D-VDR (vitamin D receptor) alleviates glucose metabolism reprogramming in lipopolysaccharide-induced acute kidney injury
Authors: Dai Qing , Zhang Hao , Tang Shiqi , Wu Xueqin , Wang Jianwen , Yi Bin , Liu Jishi , Li Zhi , Liao Qin , Li Aimei , Liu Yan , Zhang Wei 
Published: February 2023

Background: Our previous study showed that vitamin D (VD)-vitamin D receptor (VDR) plays a nephroprotective role in lipopolysaccharide (LPS)-induced acute kidney injury (AKI). Recently, glucose metabolism reprogramming was reported to be involved in the pathogenesis of AKI.Objective: To investigate the role of VD-VDR in glucose metabolism reprogramming in LPS-induced AKI.Methods: We established a model of LPS-induced AKI in VDR knockout (VDR-KO) mice, renal proximal tubular-specific VDR-overexpressing (VDR-OE) mice and wild-type C57BL/6 mice. In vitro, human proximal tubular epithelial cells (HK-2 cells), VDR knockout and VDR overexpression HK-2 cell lines were used.Results: Paricalcitol (an active vitamin D analog) or VDR-OE reduced lactate concentration, hexokinase activity and PDHA1 phosphorylation (a key step in inhibiting aerobic oxidation) and simultaneously ameliorated renal inflammation, apoptosis and kidney injury in LPS-induced AKI mice, which were more severe in VDR-KO mice. In in vitro experiments, glucose metabolism reprogramming, inflammation and apoptosis induced by LPS were alleviated by treatment with paricalcitol or dichloroacetate (DCA, an inhibitor of p-PDHA1). Moreover, paricalcitol activated the phosphorylation of AMP-activated protein kinase (AMPK), and an AMPK inhibitor partially abolished the protective effect of paricalcitol in LPS-treated HK-2 cells.Conclusion: VD-VDR alleviated LPS-induced metabolic reprogramming in the kidneys of AKI mice, which may be attributed to the inactivation of PDHA1 phosphorylation via the AMPK pathway.
Sarcopenia, obesity, and their association with selected behavioral factors in active older adults
Authors: Teraž Kaja , Kalc Miloš , Peskar Manca , Pišot Saša , Šimunič Boštjan , Pišot Rado , Pori Primož 
Published: February 2023

Introduction: The number of obese people in the world is increasing, as is the number of sarcopenic people among the older adults. Although both states are concerning, they can be positively influenced by selected behavioral factors such as adequate nutrition and physical activity. We were interested in the prevalence of sarcopenic obesity in active older people and the influence of behavioral factors on this phenomenon.Methods: The study included 38 older adults (21 women) with a mean age of 75.3 ± 5.0 years. Sarcopenic parameters were determined with different tests: Handgrip Test, Chair Stand Test, Gait Speed, Timed Up and Go Test, and Short Physical Performance Battery. Body composition was measured by dual-energy x-ray absorptiometry. Physical activity level was measured using accelerometers, and nutritional status was assessed using the Mini-Nutritional Assessment and MEDLIFE Index questionnaire.Results: Of all included active participants (the average number of steps per day was 8,916 ± 3,543), 47.4% of them were obese. Of all included women, 52.4% were obese. Sarcopenic obesity was found in three (7.9%) participants. Nutritional status correlated with strength of lower extremities and physical performance tests (gait speed, Timed Up and Go Test and Short Physical performance battery). Higher number of steps per day positively correlates with physical performance.Discussion: Interestingly, we did not find any correlation between the main obesity parameter such as percent body fat or body mass index (and thus sarcopenic obesity) and any of the selected behavioral factors (physical activity, sedentary behavior, or dietary habits). In conclusion, reaching the recommended levels of physical activity in older adults may not be sufficient to prevent the occurrence of obesity and sarcopenic obesity.
Automated extraction of pod phenotype data from micro-computed tomography
Authors: Corcoran Evangeline , Siles Laura , Kurup Smita , Ahnert Sebastian 
Published: February 2023

IntroductionPlant image datasets have the potential to greatly improve our understanding of the phenotypic response of plants to environmental and genetic factors. However, manual data extraction from such datasets are known to be time-consuming and resource intensive. Therefore, the development of efficient and reliable machine learning methods for extracting phenotype data from plant imagery is crucial.MethodsIn this paper, a current gold standard computed vision method for detecting and segmenting objects in three-dimensional imagery (StartDist-3D) is applied to X-ray micro-computed tomography scans of oilseed rape (Brassica napus) mature pods.ResultsWith a relatively minimal training effort, this fine-tuned StarDist-3D model accurately detected (Validation F1-score = 96.3%,Testing F1-score = 99.3%) and predicted the shape (mean matched score = 90%) of seeds.DiscussionThis method then allowed rapid extraction of data on the number, size, shape, seed spacing and seed location in specific valves that can be integrated into models of plant development or crop yield. Additionally, the fine-tuned StarDist-3D provides an efficient way to create a dataset of segmented images of individual seeds that could be used to further explore the factors affecting seed development, abortion and maturation synchrony within the pod. There is also potential for the fine-tuned Stardist-3D method to be applied to imagery of seeds from other plant species, as well as imagery of similarly shaped plant structures such as beans or wheat grains, provided the structures targeted for detection and segmentation can be described as star-convex polygons.
Development and initial validation of the Partnership Scale-DanceSport Couples
Authors: Liu Xiuxia , Yang Guan , Wang Shen , Wang Xiangfei , Wang Xuelian 
Published: February 2023

IntroductionDanceSport is described as a dance involving a male–female partner. It is important to comprehend the partnership between dance couples so that their competitive performance can be effectively supported. However, only a few studies have verified the influence of partnership between DanceSport couples on competitive performance and explored its psychological mechanism to provide means to deal with the partnership. The reason was that there was a lack of appropriate assessment tools.AimsThis multi-study outlines the development, content, and construct validity of a novel, mixed-method tool to assess DanceSport partnership.MethodsThe development of the Partnership Scale-DanceSport Couples (PS-DSC) included four studies and data from four samples of Chinese elite dancers (N = 914 total). In stage 1, outlined in study 1, PS-DSC items were generated and then refined using the feedback provided by academics, sports coaches, and elite dancers. In stage 2, outlined in studies 2 and 3, exploratory factor analysis and confirmatory factor analysis were used to examine the structure of the PS-DSC items. In stage 3, outlined in study 4, composite reliability, discriminant validity, and convergent validity were assessed. The result of this process was a 13-item three-factor instrument. Based on these initial findings, the PS-DSC provided the first valid and reliable way of measuring partnerships between DanceSport couples.ConclusionThis study has taken the promising first step in developing a tool to comprehensively measure partnerships between DanceSport couples.
Evaluating causal psychological models: A study of language theories of autism using a large sample
Authors: Tang Bohao , Levine Michael , Adamek Jack H. , Wodka Ericka L. , Caffo Brian S. , Ewen Joshua B. 
Published: February 2023

We used a large convenience sample (n = 22,223) from the Simons Powering Autism Research (SPARK) dataset to evaluate causal, explanatory theories of core autism symptoms. In particular, the data-items collected supported the testing of theories that posited altered language abilities as cause of social withdrawal, as well as alternative theories that competed with these language theories. Our results using this large dataset converge with the evolution of the field in the decades since these theories were first proposed, namely supporting primary social withdrawal (in some cases of autism) as a cause of altered language development, rather than vice versa.To accomplish the above empiric goals, we used a highly theory-constrained approach, one which differs from current data-driven modeling trends but is coherent with a very recent resurgence in theory-driven psychology. In addition to careful explication and formalization of theoretical accounts, we propose three principles for future work of this type: specification, quantification, and integration. Specification refers to constraining models with pre-existing data, from both outside and within autism research, with more elaborate models and more veridical measures, and with longitudinal data collection. Quantification refers to using continuous measures of both psychological causes and effects, as well as weighted graphs. This approach avoids “universality and uniqueness” tests that hold that a single cognitive difference could be responsible for a heterogeneous and complex behavioral phenotype. Integration of multiple explanatory paths within a single model helps the field examine for multiple contributors to a single behavioral feature or to multiple behavioral features. It also allows integration of explanatory theories across multiple current-day diagnoses and as well as typical development.
Social support mediates the relationship between illness perception and psychosocial adaptation among young and middle-aged kidney transplant recipients in China
Authors: Hu Na , Wang Aiping , Chang Tiantian 
Published: February 2023

BackgroundNo research has yet been done on social support’s influence on the association between illness perception and psychosocial adaptation among young and middle-aged kidney transplant recipients in China. Accordingly, it remains unclear how medical personnel can assist patients in successfully adjusting to the early postoperative period and improving their health.ObjectiveThis study sought to explore the influence of illness perception and social support on the psychosocial adaptation of young and middle-aged recipients of kidney transplants in China during the early postoperative period.MethodsThis study adopted a cross-sectional design. The study included 236 young and middle-aged kidney transplant recipients from a tertiary hospital in China. Demographic and disease-related data were collected. Additionally, the Psychosocial Adjustment to Illness Scale-Self-Report, the Brief Illness Perception Questionnaire, and the Multidimensional Scale of Perceived Social Support were used to assess participants’ psychosocial adaptation, illness perception, and social support, respectively. The model was examined using descriptive analysis, Pearson’s correlation analysis, hierarchical multiple regression analysis, and the PROCESS Macro in SPSS 26.0.ResultsA total of 176 (74.56%) participants reported an average psychosocial adaptation score &gt;50, which is relatively negative. Marital status, education level, residence, per capita monthly income (in Chinese yuan), medical insurance, work status, post-transplant time, body mass index, creatinine status, and complications were all related to psychosocial adaptation (p &lt; 0.05). The more negative their illness perception and the worse their social support, the worse the psychosocial adaptation of young and middle-aged kidney transplant recipients. Further, the effect of illness perception on psychosocial adaptation was partially mediated by social support (36.56%).ConclusionIn general, the psychosocial adaption level of young and middle-aged kidney transplant recipients was negative during the early postoperative period. Healthcare teams should assist patients in building a positive illness perception shortly following kidney transplantation, while also providing psychological care and support to help them cope with the onset of psychosocial issues.
A controlled open clinical trial of the positive effect of a physical intervention on quality of life in schizophrenia
Authors: Cristiano Viviane Batista , Szortyka Michele Fonseca , Belmonte-de-Abreu Paulo 
Published: February 2023

JustificationSchizophrenia is a severe mental disorder associated with important physical (obesity and low motor functional capacity) and metabolic (diabetes and cardiovascular diseases) changes that contribute to a more sedentary lifestyle and a low quality of life.ObjectiveThe study aimed to measure the effect of two different protocols of physical exercise [aerobic intervention (AI) versus functional intervention ([FI)] on lifestyle in schizophrenia compared with healthy sedentary subjects.MethodologyA controlled clinical trial involving patients diagnosed with schizophrenia from two different locations [Hospital de Clinicas de Porto Alegre (HCPA) and Centro de Atenção Psicosocial (CAPS) in the city of Camaquã] was carried out. The patients undertook two different exercise protocols (IA: 5-min warm-up of comfortable intensity; 45 min of aerobic exercise of increasing intensity using any of the three modalities—a stationary bicycle, a treadmill, or an elliptical trainer; and 10 min of global stretching of large muscle groups; and FI: a 5 min warm-up with a stationary walk; 15 min of muscle and joint mobility exercises; 25 min of global muscle resistance exercises; and 15 min of breathing body awareness work) twice a week for 12 weeks and were compared with physically inactive healthy controls. Clinical symptoms (BPRS), life quality (SF-36), and physical activity levels (SIMPAQ) were evaluated. The significance level was p ≤ 0.05.ResultsThe trial involved 38 individuals, of which 24 from each group performed the AI, and 14 from each group underwent the FI. This division of interventions was not randomized but was instead decided upon for convenience. The cases showed significant improvements in quality of life and lifestyle, but these differences were greater in the healthy controls. Both interventions were very beneficial, with the functional intervention tending to be more effective in the cases and the aerobic intervention more effective in the controls.ConclusionSupervised physical activity improved life quality and reduced sedentary lifestyle in adults with schizophrenia.
Effects of electroacupuncture on perioperative anxiety and stress response in patients undergoing surgery for gastric or colorectal cancer: Study protocol for a randomized controlled trial
Authors: Hou Yuchao , Lu Jiajing , Xie Jing , Zhu Runjia , Wu Mengdie , Wang Ke , Zhou Jia , Li Jing 
Published: February 2023

BackgroundPerioperative anxiety is one of the main psychological stresses experienced by patients who undergo cancer surgery. The surgery itself inevitably causes a stress response characterized by activation of the sympathetic nervous system and the hypothalamic–pituitary–adrenal axis. Both the perioperative anxiety and surgical stress response lead to increased levels of catecholamines and prostaglandins, which may be related to perioperative suppression of antimetastatic immunity and tumor-promoting alterations in the microenvironment. Hence, we designed this clinical trial to investigate the effect of electroacupuncture in reducing perioperative anxiety and surgical stress response.MethodsThis is a randomized, single-center, parallel, and controlled clinical trial. Seventy-eight participants between the ages of 35 and 85 with gastric or colorectal cancer who plan to undergo tumorectomy will be randomly divided into an electroacupuncture group and a control group. The primary outcome will be the six-item short form of the State-Trait Anxiety Inventory score. The secondary outcomes will be the Amsterdam Preoperative Anxiety and Information Scale score; levels of plasma cortisol, adrenocorticotropic hormone, interleukin-6, and tumor necrosis factor-α; first exhaust time after surgery; postoperative quality of the recovery-15 score, numeric rating scale for pain score; and dosage of postoperative analgesics.DiscussionCumulative studies revealed the efficacy of various types of acupuncture therapy with regard to reducing the anxiety and stress response caused by surgery. We expect that the results of this trial will provide high-quality clinical evidence for the choice of perioperative acupuncture for patients undergoing cancer surgery.Clinical trial registrationhttps://www.chictr.org.cn, identifier ChiCTR200003 7127.
Investigating predictors of problematic alcohol, cannabis, and nicotine use among legal users of all three substances
Authors: Shephard Aaron , Dölek Şimal , Barrett Sean P. 
Published: February 2023

BackgroundThe three most used substances—alcohol, cannabis, and nicotine—are frequently concurrently. Use of each substance has been connected to an increased probability of use of the other substances, and the problematic use of each substance has been linked to demographic factors, substance use factors, and personality. However, little is known about which risk factors are most important for consumers of all three substances. This study examined the extent to which various factors are associated with dependence on alcohol, cannabis, and/or nicotine in users of all three substances.Methods516 Canadian adults with past month use of alcohol, cannabis, and nicotine completed online surveys querying their demographics, personality, substance use history, and levels substance dependence. Hierarchical linear regressions were used to determine which factors best predicted levels of dependence on each substance.ResultsAlcohol dependence was associated with levels of cannabis and nicotine dependence, and impulsivity, with 44.9% of variance explained. Cannabis dependence was predicted by alcohol and nicotine dependence levels, impulsivity, and the age of onset of cannabis use, with 47.6% of variance explained. Nicotine dependence was best predicted by alcohol and cannabis dependence levels, impulsivity, and dual use of cigarettes and e-cigarettes, with 19.9% of variance explained.ConclusionsAlcohol dependence, cannabis dependence, and impulsivity were the strongest predictors for dependence on each of the substances. A strong relationship between alcohol and cannabis dependence was evident, warranting further research.
A low-threshold sleep intervention for improving sleep quality and well-being
Authors: Eigl Esther-Sevil , Urban-Ferreira Laura Krystin , Schabus Manuel 
Published: February 2023

BackgroundApproximately one-third of the healthy population suffer from sleep problems, but only a small proportion of those affected receive professional help. Therefore, there is an urgent need for easily accessible, affordable, and efficacious sleep interventions.ObjectiveA randomized controlled study was conducted to investigate the efficacy of a low-threshold sleep intervention consisting of either (i) sleep data feedback plus sleep education or (ii) sleep data feedback alone in comparison with (iii) no intervention.Material and methodsA total of 100 employees of the University of Salzburg (age: 39.51 ± 11.43 years, range: 22–62 years) were randomly assigned to one of the three groups. During the 2-week study period, objective sleep parameters were assessed via actigraphy. In addition, an online questionnaire and a daily digital diary were used to record subjective sleep parameters, work-related factors, as well as mood and well-being. After 1 week, a personal appointment was conducted with participants of both experimental group 1 (EG1) and experimental group 2 (EG2). While the EG2 only received feedback about their sleep data from week 1, the EG1 additionally received a 45-min sleep education intervention containing sleep hygiene rules and recommendations regarding stimulus control. A waiting-list control group (CG) did not receive any feedback until the end of the study.ResultsResults indicate positive effects on sleep and well-being following sleep monitoring over the course of 2 weeks and minimal intervention with a single in-person appointment including sleep data feedback. Improvements are seen in sleep quality, mood, vitality, and actigraphy-measured sleep efficiency (SE; EG1), as well as in well-being and sleep onset latency (SOL) in EG2. The inactive CG did not improve in any parameter.ConclusionResults suggest small and beneficial effects on sleep and well-being in people being continuously monitored and receiving (actigraphy-based) sleep feedback when paired with a single-time personal intervention.
Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data
Authors: Malekpour Mohammad-Reza , Abbasi-Kangevari Mohsen , Shojaee Ali , Saeedi Moghaddam Sahar , Ghamari Seyyed-Hadi , Rashidi Mohammad-Mahdi , Namazi Shabestari Alireza , Effatpanah Mohammad , Nasehi Mohammadmehdi , Rezaei Mehdi , Farzadfar Farshad 
Published: February 2023

BackgroundConcerns about the role of chronically used medications in the clinical outcomes of the coronavirus disease 2019 (COVID-19) have remarkable potential for the breakdown of non-communicable diseases (NCDs) management by imposing ambivalence toward medication continuation. This study aimed to investigate the association of single or combinations of chronically used medications in NCDs with clinical outcomes of COVID-19.MethodsThis retrospective study was conducted on the intersection of two databases, the Iranian COVID-19 registry and Iran Health Insurance Organization. The primary outcome was death due to COVID-19 hospitalization, and secondary outcomes included length of hospital stay, Intensive Care Unit (ICU) admission, and ventilation therapy. The Anatomical Therapeutic Chemical (ATC) classification system was used for medication grouping. The frequent pattern growth algorithm was utilized to investigate the effect of medication combinations on COVID-19 outcomes.FindingsAspirin with chronic use in 10.8% of hospitalized COVID-19 patients was the most frequently used medication, followed by Atorvastatin (9.2%) and Losartan (8.0%). Adrenergics in combination with corticosteroids inhalants (ACIs) with an odds ratio (OR) of 0.79 (95% confidence interval: 0.68–0.92) were the most associated medications with less chance of ventilation therapy. Oxicams had the least OR of 0.80 (0.73–0.87) for COVID-19 death, followed by ACIs [0.85 (0.77–0.95)] and Biguanides [0.86 (0.82–0.91)].ConclusionThe chronic use of most frequently used medications for NCDs management was not associated with poor COVID-19 outcomes. Thus, when indicated, physicians need to discourage patients with NCDs from discontinuing their medications for fear of possible adverse effects on COVID-19 prognosis.