bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of Mitochondrial Function in the AmE-711 Honey Bee Cell Line: Boscalid and Pyraclostrobin Effects
Authors: Martinović-Weigelt Dalma , Dang Minh-Anh , Mord Alex , Goblirsch Michael J. 
Published: March 2024

Abstract
There is a growing concern that chronic exposure to fungicides contributes to negative effects on honey bee development, life span, and behavior. Field and caged-bee studies have helped to characterize the adverse outcomes (AOs) of environmentally relevant exposures, but linking AOs to molecular/cellular mechanisms of toxicity would benefit from the use of readily controllable, simplified host platforms like cell lines. Our objective was to develop and optimize an in vitro-based mitochondrial toxicity assay suite using the honey bee as a model pollinator, and the electron transport chain (ETC) modulators boscalid and pyraclostrobin as model fungicides. We measured the effects of short (~30 min) and extended exposures (16–24 h) to boscalid and pyraclostrobin on AmE-711 honey bee cell viability and mitochondrial function. Short exposure to pyraclostrobin did not affect cell viability, but extended exposure reduced viability in a concentration-dependent manner (median lethal concentration = 4175 µg/L; ppb). Mitochondrial membrane potential (MMP) was affected by pyraclostrobin in both short (median effect concentration [EC50] = 515 µg/L) and extended exposure (EC50 = 982 µg/L) scenarios. Short exposure to 10 and 1000 µg/L pyraclostrobin resulted in a rapid decrease in the oxygen consumption rate (OCR), approximately 24% reduction by 10 µg/L relative to the baseline OCR, and 64% by 1000 µg/L. Extended exposure to 1000 µg/L pyraclostrobin reduced all respiratory parameters (e.g., spare capacity, coupling efficiency), whereas 1- and 10-µg/L treatments had no significant effects. The viability of AmE-711 cells, as well as the MMP and cellular respiration were unaffected by short and extended exposures to boscalid. The present study demonstrates that the AmE-711-based assessment of viability, MMP, and ETC functionality can provide a time- and cost-effective platform for mitochondrial toxicity screening relevant to bees. Environ Toxicol Chem 2024;43:976–987. © 2024 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
Local discontinuous Galerkin method coupled with the implicit‐explicit Runge–Kutta method for the time‐dependent micropolar fluid equations
Authors: Li Mengqi , Liu Demin 
Published: March 2024

AbstractIn this article, the spatial local discontinuous Galerkin (LDG) approximation coupled with the temporal implicit‐explicit Runge–Kutta (RK) evolution for the micropolar fluid equations are adopted to construct the discretization method. To avoid the incompressibility constraint, the artificial compressibility strategy method is used to convert the micropolar fluid equations into the Cauchy–Kovalevskaja type equations. Then the LDG method based on the modal expansion and the implicit‐explicit RK method are properly combined to construct the expected third‐order method. Theoretically, the unconditionally stable of the fully discrete method are derived in multidimensions for triangular meshs. And the numerical experiments are given to verify the theoretical and effectiveness of the presented methods.
The effects of governance quality on renewable and nonrenewable energy consumption: An explainable decision frame
Authors: Weng Futian , Cheng Dongsheng , Zhuang Muni , Lu Xin , Yang Cai 
Published: March 2024

AbstractThis study analyzes the effect of governance quality (six aspects: government effectiveness; control of corruption; voice and accountability; regulatory quality; political stability and absence of violence; and rule of law) on the renewable and nonrenewable energy consumption prediction based on the SHapely Additive exPlanations method for model analysis and interpretability. The empirical findings indicate that the time‐varying contributions of six aspects of governance quality on nonrenewable (renewable) energy consumption predicting vary greatly in E‐7 and G‐7 countries. The time‐varying contribution of governance quality within countries is heterogeneous and asymmetrical, especially India (Germany) in E‐7 countries (G‐7 countries). The prediction contribution distribution of governance quality between countries is more discrete in G‐7 countries than E‐7 countries. Our results are of great importance to policymakers and investors for enhancing the renewable energy consumption level in overcoming environmental challenges based on the country itself through governance quality.
Experiments meet simulations: Understanding skeletal muscle mechanics to address clinical problems
Authors: Ateş Filiz , Röhrle Oliver 
Published: March 2024

AbstractThis article aims to present some novel experimental approaches and computational methods providing detailed insights into the mechanical behavior of skeletal muscles relevant to clinical problems associated with managing and treating musculoskeletal diseases. The mechanical characterization of skeletal muscles in vivo is crucial for better understanding of, prevention of, or intervention in movement alterations due to exercise, aging, or pathologies related to neuromuscular diseases. To achieve this, we suggest an intraoperative experimental method including direct measurements of human muscle forces supported by computational methodologies. A set of intraoperative experiments indicated the major role of extracellular matrix (ECM) in spastic cerebral palsy. The force data linked to joint function are invaluable and irreplaceable for evaluating individual muscles however, they are not feasible in many situations. Three‐dimensional, continuum‐mechanical models provide a way to predict the exerted muscle forces. To obtain, however, realistic predictions, it is important to investigate the muscle not by itself, but embedded within the respective musculoskeletal system, for example, a 6‐muscle upper arm model, and the ability to obtain non‐invasively, or at least, minimally invasively material parameters for continuum‐mechanical skeletal muscle models, for example, by presently proposed homogenization methodologies. Botulinum toxin administration as a treatment option for spasticity is exemplified by combining experiments with modeling to find out the mechanical outcomes of altered ECM and the controversial effects of the toxin. The potentials and limitations of both experimental and modeling approaches and how they need each other are discussed.
Neuropsychiatric symptoms and brain morphology in patients with mild cognitive impairment, cerebrovascular disease and Parkinson disease: A cross sectional and longitudinal study
Authors: Rashidi‐Ranjbar Neda , Churchill Nathan W. , Black Sandra E. , Kumar Sanjeev , Tartaglia Maria C. , Freedman Morris , Lang Anthony , Steeves Thomas D. L. , Swartz Richard H. , Saposnik Gustavo , Sahlas Dametrios , McLaughlin Paula , Symons Sean , Strother Stephen , Pollock Bruce G. , Rajji Tarek K. , Ozzoude Miracle , Tan Brian , Arnott Stephen R. , Bartha Robert , Borrie Michael , Masellis Mario , Pasternak Stephen H. , Frank Andrew , Seitz Dallas , Ismail Zahinoor , Tang‐Wai David F. , Casaubon Leanne K. , Mandzia Jennifer , Jog Mandar , Scott Christopher J. M. , Dowlatshahi Dar , Hassan Ayman , Grimes David , Marras Connie , Zamyadi Mojdeh , Munoz David G. , Ramirez Joel , Berezuk Courtney , Holmes Melissa , Fischer Corinne E. , Schweizer Tom A. 
Published: March 2024

AbstractObjectivesNeuropsychiatric symptoms (NPS) increase risk of developing dementia and are linked to various neurodegenerative conditions, including mild cognitive impairment (MCI due to Alzheimer's disease [AD]), cerebrovascular disease (CVD), and Parkinson's disease (PD). We explored the structural neural correlates of NPS cross‐sectionally and longitudinally across various neurodegenerative diagnoses.MethodsThe study included individuals with MCI due to AD, (n = 74), CVD (n = 143), and PD (n = 137) at baseline, and at 2‐years follow‐up (MCI due to AD, n = 37, CVD n = 103, and PD n = 84). We assessed the severity of NPS using the Neuropsychiatric Inventory Questionnaire. For brain structure we included cortical thickness and subcortical volume of predefined regions of interest associated with corticolimbic and frontal‐executive circuits.ResultsCross‐sectional analysis revealed significant negative correlations between appetite with both circuits in the MCI and CVD groups, while apathy was associated with these circuits in both the MCI and PD groups. Longitudinally, changes in apathy scores in the MCI group were negatively linked to the changes of the frontal‐executive circuit. In the CVD group, changes in agitation and nighttime behavior were negatively associated with the corticolimbic and frontal‐executive circuits, respectively. In the PD group, changes in disinhibition and apathy were positively associated with the corticolimbic and frontal‐executive circuits, respectively.ConclusionsThe observed correlations suggest that underlying pathological changes in the brain may contribute to alterations in neural activity associated with MBI. Notably, the difference between cross‐sectional and longitudinal results indicates the necessity of conducting longitudinal studies for reproducible findings and drawing robust inferences.
The Tao Hong Si Wu Decoction ameliorates diabetes‐associated cognitive dysfunction by inhibiting the formation of amyloid plaques
Authors: Cai Ming , Chen Zhen , Zhang Mengling , Xia Wenwen , Dai Wentao , Zhao Mengdie , Xie Ruonan , Ji Zhaojie , Han Lan , Peng Daiyin 
Published: March 2024

AbstractObjectivesThe herbs in Tao Hong Si Wu Decoction (THSWD) are beneficial in the treatment of cognitive impairment. However, the underlying mechanisms of THSWD in treating diabetes‐associated cognitive dysfunction (DACD) are not entirely explored. This study is aimed to investigate the therapeutic effects of THSWD in DACD model rats and the underlying mechanism.MethodsUltra‐high‐phase liquid chromatography was employed to identify the main compounds contained in the THSWD extract. DACD rat model was induced by feeding with a high‐sugar and high‐fat diet and injecting streptozotocin (35 mg/kg). DACD rats were gavaged with THSWD for 1 week. The learning and memory abilities of the rats were measured by using the Morris water maze. Western blotting was used to detect the changes in DACD rat targets. Statistical methods were used to evaluate the correlation between proteins.ResultsThe results show that THSWD effectively reduced the escape latency, hippocampal neuron damage, glycosylated hemoglobin, type A1C, and blood lipid levels in DACD rats. Furthermore, DACD rats showed significantly increased amyloid precursor protein, β‐secretase, Aβ1−40, Aβ1−42, Tau phosphorylation, and advanced glycation end products (AGEs) expression. However, THSWD treatment can reverse this phenomenon.ConclusionsTHSWD can improve the learning and memory abilities of DACD rats by inhibiting the expression of AEGs‐AGE receptors pathway, which provides an experimental basis for the clinical application of THSWD. In addition, the experiment combines pharmacological and statistical methods, which offers a new perspective for the study of Chinese herbal medicine.
Functional and structural gradients reveal atypical hierarchical organization of Parkinson's disease
Authors: Wu Jinglong , Ma Lihua , Luo Di , Jin Zhaohui , Wang Li , Wang Luyao , Li Ting , Zhang Jian , Liu Tiantian , Lv Diyang , Yan Tianyi , Fang Boyan 
Published: March 2024

AbstractParkinson's disease (PD) patients exhibit deficits in primary sensorimotor and higher‐order executive functions. The gradient reflects the functional spectrum in sensorimotor‐associated areas of the brain. We aimed to determine whether the gradient is disrupted in PD patients and how this disruption is associated with treatment outcome. Seventy‐six patients (mean age, 59.2 ± 12.4 years [standard deviation], 44 women) and 34 controls participants (mean age, 58.1 ± 10.0 years [standard deviation], 19 women) were evaluated. We explored functional and structural gradients in PD patients and control participants. Patients were followed during 2 weeks of multidisciplinary intensive rehabilitation therapy (MIRT). The Unified Parkinson's Disease Rating Scale Part III (UPDRS‐III) was administered to patients before and after treatment. We investigated PD‐related alterations in the principal functional and structural gradients. We further used a support vector machine (SVM) and correlation analysis to assess the classification ability and treatment outcomes related to PD gradient alterations, respectively. The gradients showed significant differences between patients and control participants, mainly in somatosensory and visual networks involved in primary function, and higher‐level association networks (dorsal attentional network (DAN) and default mode network (DMN)) related to motor control and execution. On the basis of the combined functional and structural gradient features of these networks, the SVM achieved an accuracy of 91.2% in discriminating patients from control participants. Treatment reduced the gradient difference. The altered gradient exhibited a significant correlation with motor improvement and was mainly distributed across the visual network, DAN and DMN. This study revealed damage to gradients in the brain characterized by sensorimotor and executive control deficits in PD patients. The application of gradient features to neurological disorders could lead to the development of potential diagnostic and treatment markers for PD.
A novel method for PET connectomics guided by fibre‐tracking MRI: Application to Alzheimer's disease
Authors: Sun Zhuopin , Naismith Sharon L. , Meikle Steven , Calamante Fernando ,   for the Alzheimer's Disease Neuroimaging Initiative
Published: March 2024

AbstractThis study introduces a novel brain connectome matrix, track‐weighted PET connectivity (twPC) matrix, which combines positron emission tomography (PET) and diffusion magnetic resonance imaging data to compute a PET‐weighted connectome at the individual subject level. The new method is applied to characterise connectivity changes in the Alzheimer's disease (AD) continuum. The proposed twPC samples PET tracer uptake guided by the underlying white matter fibre‐tracking streamline point‐to‐point connectivity calculated from diffusion MRI (dMRI). Using tau‐PET, dMRI and T1‐weighted MRI from the Alzheimer's Disease Neuroimaging Initiative database, structural connectivity (SC) and twPC matrices were computed and analysed using the network‐based statistic (NBS) technique to examine topological alterations in early mild cognitive impairment (MCI), late MCI and AD participants. Correlation analysis was also performed to explore the coupling between SC and twPC. The NBS analysis revealed progressive topological alterations in both SC and twPC as cognitive decline progressed along the continuum. Compared to healthy controls, networks with decreased SC were identified in late MCI and AD, and networks with increased twPC were identified in early MCI, late MCI and AD. The altered network topologies were mostly different between twPC and SC, although with several common edges largely involving the bilateral hippocampus, fusiform gyrus and entorhinal cortex. Negative correlations were observed between twPC and SC across all subject groups, although displaying an overall reduction in the strength of anti‐correlation with disease progression. twPC provides a new means for analysing subject‐specific PET and MRI‐derived information within a hybrid connectome using established network analysis methods, providing valuable insights into the relationship between structural connections and molecular distributions.Practitioner Points
New method is proposed to compute patient‐specific PET connectome guided by MRI fibre‐tracking.
Track‐weighted PET connectivity (twPC) matrix allows to leverage PET and structural connectivity information.
twPC was applied to dementia, to characterise the PET nework abnormalities in Alzheimer's disease and mild cognitive impairment.
The impact of HIV/AIDS on marriage in the early years of the epidemic
Authors: Shahid Hasan 
Published: March 2024

AbstractThe advent of the HIV/AIDS crisis transformed the desirability of committed heterosexual relationships. This paper employs a difference‐in‐differences approach to investigate the impact of the HIV/AIDS crisis on marriage rates. By using HIV/AIDS death rates as a proxy for HIV incidence, the study exploits county‐level variations in HIV/AIDS mortality and finds that counties with higher HIV/AIDS death rates experienced larger gains in marriage rates in the early years of the epidemic. Estimates suggest that the virus increased marriage rates by approximately 0.9% in the early years of the virus (1981–1988).
Evaluation of the safety and effectiveness of robot‐assisted neck dissections
Authors: Snyder Vusala , Smith Brandon , Kim Seungwon , Spector Matthew E. , Duvvuri Umamaheswar 
Published: March 2024

AbstractBackgroundRobot‐assisted neck dissection (RAND) for the management of the regional lymphatic basin offers the potential for improved cosmesis and reduced lymphedema. While RAND has been previously described, functional outcome and oncologic control rates need further elucidation.MethodsA retrospective, matched cohort study of neck dissections completed at UPMC from 2017 to 2021 was conducted. RAND was identified and matched to open neck dissections (open) in a 1:2 ratio. Matching characteristics included primary cancer site, pre‐operative clinical N‐stage, age at time of surgery, HPV status, and previous chemoradiation treatment (salvage vs. nonsalvage procedure). Additional information was collected on patient demographics, surgery characteristics, and outcomes. Comparisons were made using t‐test, chi‐square test, Fisher's exact test, and Kaplan–Meier Wilcoxon (KMW) test with p < 0.05 indicating significance.ResultsOverall, RAND and open groups had similar distributions of age, gender, BMI, primary site of cancer, HPV status, clinical N‐stage, clinical T‐stage, known neck disease prior to procedure, prior chemoradiation therapy, and level(s) of neck dissection. Surgically, RAND procedures yielded less drainage on average (124 mL in RAND vs. 220 mL in open approaches; p = 0.01). There was no difference in the rates of complications, estimated blood loss, or number of lymph nodes obtained. There were also no differences in the rates of adjuvant therapy. Long term, there were no differences in the rates of local, locoregional, and distant recurrence of primary disease between RAND and open procedures. There were also no differences in postprocedure disease‐free survival time (KMW p‐value = 0.32; HR [of RAND compared with open] = 0.62). Similarly, there were no statistical differences in the overall survival of RAND patients when compared with the open group (75 vs. 58.9 months; HR = 0.11, p = 0.87).ConclusionThis study is the first to report the long‐term effectiveness of robot‐assisted surgery compared with the traditional, open approach. In addition to well‐known cosmetic benefits, robot‐assisted surgery may also offer patients a reduction in uncomfortable drains and improved effects from lymphedema. Overall, this study provides initial data that the RAND may be considered as an alternative approach to open surgery.
Intelligent method to predict intensive care unit admission after drainage operation in patients with deep neck space abscess: A multicenter retrospective study
Authors: Lei Han , Lin Yu , Chen Weixiong , Liu Tianrun , Ye Jin , Cai Qian , Ye Fei , He Long , Xie Xingqiang , Xiong Guoping , Gao Wenxiang , Lei Wenbin 
Published: March 2024

AbstractBackgroundsA deep neck space abscess (DNSA) is a critical condition resulting from infection of deep neck fascia and soft issue, leading to high morbidity and mortality. Therefore, intensive care can be very significant for patients with DNSA. This study aimed to develop models to predict the need for postoperative intensive care in patients with DNSA.MethodsWe retrospectively analyzed the records of 332 patients with DNSA who received drainage operation between 2015 and 2020. Multivariate logistic regression analysis and the eXtrem Gradient Boosting (XGBoost) algorithm were used to develop predictive models.ResultsWe developed two predictive models, the nomogram and the XGBoost model. The area under the curve (AUC) of the nomogram was 0.911 and of the XGBoost model was 0.935.ConclusionWe developed two predictive models for guiding clinical decision making for postoperative ICU admission for DNSA patients, which may help improve prognosis and optimize intensive care resource allocation.
Multi‐omics analysis reveals epigenetically regulated processes and patient classification in lung adenocarcinoma
Authors: Brativnyk Anastasia , Ankill Jørgen , Helland Åslaug , Fleischer Thomas 
Published: March 2024

AbstractAberrant DNA methylation is a hallmark of many cancer types. Despite our knowledge of epigenetic and transcriptomic alterations in lung adenocarcinoma (LUAD), we lack robust multi‐modal molecular classifications for patient stratification. This is partly because the impact of epigenetic alterations on lung cancer development and progression is still not fully understood. To that end, we identified disease‐associated processes under epigenetic regulation in LUAD. We performed a genome‐wide expression‐methylation Quantitative Trait Loci (emQTL) analysis by integrating DNA methylation and gene expression data from 453 patients in the TCGA cohort. Using a community detection algorithm, we identified distinct communities of CpG‐gene associations with diverse biological processes. Interestingly, we identified a community linked to hormone response and lipid metabolism; the identified CpGs in this community were enriched in enhancer regions and binding regions of transcription factors such as FOXA1/2, GRHL2, HNF1B, AR, and ESR1. Furthermore, the CpGs were connected to their associated genes through chromatin interaction loops. These findings suggest that the expression of genes involved in hormone response and lipid metabolism in LUAD is epigenetically regulated through DNA methylation and enhancer‐promoter interactions. By applying consensus clustering on the integrated expression‐methylation pattern of the emQTL‐genes and CpGs linked to hormone response and lipid metabolism, we further identified subclasses of patients with distinct prognoses. This novel patient stratification was validated in an independent patient cohort of 135 patients and showed increased prognostic significance compared to previously defined molecular subtypes.