bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of the Rainbow Model of Integrated Care Measurement Tool in Parkinson's Disease
Authors: Valentijn Pim P. , Eggers Carsten , Bloem Bastiaan R. , Grimes David , Goldman Jennifer , McGinley Jennifer , Gardner Joan , Piemonte Maria Elisa Pimentel , Dahodwala Nabila , Brennan Laura , Iansek Robert , Kovacs Norbert , Parashos Sotirios , Hilel Ariela , Rajan Roopa ,   the MDS Study Group on Management of Movement Disorders: Interdisciplinary and Integrated Care
Published: May 2023

AbstractBackgroundIntegrated care is essential for improving the management and health outcomes for people with Parkinson's disease (PD); reliable and objective measures of care integration are few.ObjectiveThe aim of this study was to test the psychometric properties of the Rainbow Model of Integrated Care Measurement Tool (RMIC‐MT, provider version) for healthcare professionals involved in PD care.MethodsA cross‐sectional survey was administered online to an international network representing 95 neurology centers across 41 countries and 588 healthcare providers. Exploratory factor analysis with principal axis extraction method was used to assess construct validity. Confirmatory factor analysis was used to evaluate model fit of the RMIC‐MT provider version. Cronbach's alpha was used to assess the internal consistency reliability.ResultsOverall, 371 care providers (62% response rate) participated in this study. No item had psychometric sensitivity problems. Nine factors (professional coordination, cultural competence, triple aims outcome, system coordination, clinical coordination, technical competence, community‐centeredness, person‐centeredness, and organizational coordination) with 42 items were determined by exploratory factor analysis. Cronbach's alpha ranged from 0.76 (clinical coordination) to 0.94 (system coordination) and showed significant correlation among all items in the scale (>0.4), indicating good internal consistency reliability. The confirmatory factor analysis model passed most goodness‐of‐fit tests, thereby confirming the factor structure of nine categories with a total of 40 items.ConclusionsThe results provide evidence for the construct validity and other psychometric properties of the provider version of the RMIC‐MT to measure integrated care in PD. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Gene Therapy for Dopamine Dyshomeostasis: From Parkinson's to Primary Neurotransmitter Diseases
Authors: Ng Joanne , Barral Serena , Waddington Simon N. , Kurian Manju A. 
Published: May 2023

AbstractNeurological disorders encompass a broad range of neurodegenerative and neurodevelopmental diseases that are complex and almost universally without disease modifying treatments. There is, therefore, significant unmet clinical need to develop novel therapeutic strategies for these patients. Viral gene therapies are a promising approach, where gene delivery is achieved through viral vectors such as adeno‐associated virus and lentivirus. The clinical efficacy of such gene therapies has already been observed in two neurological disorders of pediatric onset; for spinal muscular atrophy and aromatic L‐amino acid decarboxylase (AADC) deficiency, gene therapy has significantly modified the natural history of disease in these life‐limiting neurological disorders. Here, we review recent advances in gene therapy, focused on the targeted delivery of dopaminergic genes for Parkinson's disease and the primary neurotransmitter disorders, AADC deficiency and dopamine transporter deficiency syndrome (DTDS). Although recent European Medicines Agency and Medicines and Healthcare products Regulatory Agency approval of Upstaza (eladocagene exuparvovec) signifies an important landmark, numerous challenges remain. Future research will need to focus on defining the optimal therapeutic window for clinical intervention, better understanding of the duration of therapeutic efficacy, and improved brain targeting. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Potential Protective Link Between Type I Diabetes and Parkinson's Disease Risk and Progression
Authors: Senkevich Konstantin , Alipour Paria , Chernyavskaya Ekaterina , Yu Eric , Noyce Alastair J. , Gan‐Or Ziv 
Published: May 2023

AbstractBackgroundEpidemiological studies suggested an association between Parkinson's disease (PD) and type 2 diabetes, but less is known about type 1 diabetes (T1D) and PD.ObjectiveThis study sought to explore the association between T1D and PD.MethodsWe used Mendelian randomization, linkage disequilibrium score regression, and multi‐tissue transcriptome‐wide analysis to examine the association between PD and T1D.ResultsMendelian randomization showed a potentially protective role of T1D for PD risk (odds ratio [OR], 0.97; 95% confidence interval [CI], 0.94–0.99; P = 0.039), as well as motor (OR, 0.94; 95% CI, 0.88–0.99; P = 0.044) and cognitive progression (OR, 1.50; 95% CI, 1.08–2.09; P = 0.015). We further found a negative genetic correlation between T1D and PD (rg = −0.17; P = 0.016), and we identified eight genes in cross‐tissue transcriptome‐wide analysis that were associated with both traits.ConclusionsOur results suggest a potential genetic link between T1D and PD risk and progression. Larger comprehensive epidemiological and genetic studies are required to validate our findings. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Application Value of Serum Neurofilament Light Protein for Disease Staging in Huntington's Disease
Authors: Li Xiao‐Yan , Bao Yu‐Feng , Xie Juan‐Juan , Gao Bin , Qian Shu‐Xia , Dong Yi , Wu Zhi‐Ying 
Published: May 2023

AbstractBackgroundNeurofilament light protein (NfL) has been proven to be a sensitive biomarker for Huntington's disease (HD). However, these studies did not include HD patients at advanced stages or with larger CAG repeats (>50), leading to a knowledge gap of the characteristics of NfL.MethodsSerum NfL (sNfL) levels were quantified using an ultrasensitive immunoassay. Participants were assessed by clinical scales and 7.0 T magnetic resonance imaging. Longitudinal samples and clinical data were obtained.ResultsBaseline samples were available from 110 controls, 90 premanifest HD (pre‐HD) and 137 HD individuals. We found levels of sNfL significantly increased in HD compared to pre‐HD and controls (both P < 0.0001). The increase rates of sNfL were differed by CAG repeat lengths. However, there was no difference in sNfL levels in manifest HD from early to late stages. In addition, sNfL levels were associated with cognitive measures in pre‐HD and manifest HD group, respectively. The increased levels of sNfL were also closely related to microstructural changes in white matter. In the longitudinal analysis, baseline sNfL did not correlate with subsequent clinical function decline. Random forest analysis revealed that sNfL had good power for predicting disease onset.ConclusionsAlthough sNfL levels are independent of disease stages in manifest HD, it is still an optimal indicator for predicting disease onset and has potential use as a surrogate biomarker of treatment effect in clinical trials. © 2023 International Parkinson and Movement Disorder Society.
The role of flavonoids in the regulation of epithelial‐mesenchymal transition in cancer: A review on targeting signaling pathways and metastasis
Authors: Proença Carina , Freitas Marisa , Ribeiro Daniela , Rufino Ana T. , Fernandes Eduarda , Ferreira de Oliveira José Miguel P. 
Published: May 2023

AbstractOne of the hallmarks of cancer is metastasis, a process that entails the spread of cancer cells to distant regions in the body, culminating in tumor formation in secondary organs. Importantly, the proinflammatory environment surrounding cancer cells further contributes to cancer cell transformation and extracellular matrix destruction. During metastasis, front‐rear polarity and emergence of migratory and invasive features are manifestations of epithelial‐mesenchymal transition (EMT). A variety of transcription factors (TFs) are implicated in the execution of EMT, the most prominent belonging to the Snail Family Transcriptional Repressor (SNAI) and Zinc Finger E‐Box Binding Homeobox (ZEB) families of TFs. These TFs are regulated by interaction with specific microRNAs (miRNAs), as miR34 and miR200. Among the several secondary metabolites produced in plants, flavonoids constitute a major group of bioactive molecules, with several described effects including antioxidant, antiinflammatory, antidiabetic, antiobesogenic, and anticancer effects. This review scrutinizes the modulatory role of flavonoids on the activity of SNAI/ZEB TFs and on their regulatory miRNAs, miR‐34, and miR‐200. The modulatory role of flavonoids can attenuate mesenchymal features and stimulate epithelial features, thereby inhibiting and reversing EMT. Moreover, this modulation is concomitant with the attenuation of signaling pathways involved in diverse processes as cell proliferation, cell growth, cell cycle progression, apoptosis inhibition, morphogenesis, cell fate, cell migration, cell polarity, and wound healing. The antimetastatic potential of these versatile compounds is emerging and represents an opportunity for the synthesis of more specific and potent agents.
Intermittent Fasting Alleviates Non‐Alcoholic Steatohepatitis by Regulating Bile Acid Metabolism and Promoting Fecal Bile Acid Excretion in High‐Fat and High‐Cholesterol Diet Fed Mice
Authors: Lin Xiaozhuan , Zhu Xuan , Xin Yan , Zhang Peiwen , Xiao Yunjun , He Taiping , Guo Honghui 
Published: May 2023

ScopeIntermittent fasting (IF) has a protective role across a wide range of chronic disorders, including obesity, diabetes, and cardiovascular disease, but its protection against non‐alcoholic steatohepatitis (NASH) is still lacking. This study seeks to investigate how IF alleviates NASH by regulating gut microbiota and bile acids (BAs) composition.Methods and resultsMale C57BL/6 mice are fed a high‐fat and high‐cholesterol (HFHC) diet for 16 weeks to establish a NASH model. Mice then continued HFHC feeding and are treated with or without every other day fasting for 10 weeks. Hepatic pathology is assessed using hematoxylin‐eosin staining. Gut microbiota of the cecum are profiled using 16S rDNA gene sequencing and the levels of BAs in serum, colon contents, and feces are measured using ultra‐performance liquid chromatography‐tandem mass spectrometry. Results indicate that IF significantly decreases murine body weight, insulin resistance, hepatic steatosis, ballooning, and lobular inflammation. IF reshapes the gut microbiota, reduces the accumulation of serum BAs, and increases total colonic and fecal BAs. Moreover, IF increases the expression of cholesterol 7α‐hydroxylase 1 in liver, but decreases the expressions of both farnesoid‐X‐receptor and fibroblast growth factor 15 in the ileum.ConclusionIF alleviates NASH by regulating bile acid metabolism and promoting fecal bile acid excretion.
A 3D grain‐based reconstruction method from a 2D surface image for the Distinct Lattice Spring Model
Authors: Wei Xin‐Dong , Deng Zhi‐Qiang , Li Qin , Huang Yan , Zhao Gao‐Feng 
Published: May 2023

AbstractIn this work, a surface image‐based 3D grain‐based model (GBM) reconstruction method based on the digital image processing (DIP) technique, periodic random packing and the simulated annealing algorithm is proposed. Taking a surface digital image of Beishan granite as an example, a K‐means clustering algorithm is employed to extract the mineral compositions, the distribution of which is quantified by the two‐point probability function (TPPF). Given the 3D volume fraction of each mineral composition, their corresponding 3D two‐point probability functions can be evaluated from their 2D forms by the linear interpolation method. The 3D GBM reconstruction is generated by a simulated annealing algorithm, with the Monte Carlo algorithm extending the calculation of the two‐point probability function as the target function to the random particle model. To improve the computational efficiency, the periodic boundary condition is applied to both the random particle generator and the evaluation of the two‐point probability function, allowing large‐scale GBM to be generated for the Distinct Lattice Spring Model (DLSM). The elastic response and advantages of the random particle model for the DLSM are investigated. Finally, the DLSM is further enriched with a tension‐cutoff Mohr‐Coulomb failure criterion, and the GBM reconstruction method is successfully tested for reproducing the mechanical behaviours of granite and interpreting the failure mechanism at the mesoscale under different loading conditions.
A treatment prediction strategy for overactive bladder using a machine learning algorithm that utilized data from the FAITH study
Authors: Hadi Farid , Sumarsono Budiwan , Lee Kyu‐Sung , Oh Seung‐June , Cho Sung Tae , Hsu Yu‐Chao , Rasner Paul , Jenkins Cerys , Fisher Harry 
Published: May 2023

AbstractAimsTo use machine learning algorithms to develop a model to accurately predict treatment responses to mirabegron or antimuscarinic agents in patients with overactive bladder (OAB), using real‐world data from the FAITH registry (NCT03572231).MethodsThe FAITH registry data included patients who had been diagnosed with OAB symptoms for at least 3 months and were due to initiate monotherapy with mirabegron or any antimuscarinic. For the development of the machine learning model, data from patients were included if they had completed the 183‐day study period, had data for all timepoints and had completed the overactive bladder symptom scores (OABSS) at baseline and end of study. The primary outcome of the study was a composite outcome combining efficacy, persistence, and safety outcomes. Treatment was deemed “more effective” if the composite outcome criteria for “successful,” “no treatment change,” and “safe” were met, otherwise treatment was deemed “less effective.” To explore the composite algorithm, a total of 14 clinical risk factors were included in the initial data set and a 10‐fold cross‐validation procedure was performed. A range of machine learning models were evaluated to determine the most effective algorithm.ResultsIn total, data from 396 patients were included (266 [67.2%] treated with mirabegron and 130 [32.8%] treated with an antimuscarinic). Of these, 138 (34.8%) were in the “more effective” group and 258 (65.2%) were in the “less effective” group. The groups were comparable in terms of their characteristic distributions across patient age, sex, body mass index, and Charlson Comorbidity Index. Of the six models initially selected and tested, the decision tree (C5.0) model was chosen for further optimization, and the receiver operating characteristic of the final optimized model had an area under the curve result of 0.70 (95% confidence interval: 0.54−0.85) when 15 was used for the min n parameter.ConclusionsThis study successfully created a simple, rapid, and easy‐to‐use interface that could be further refined to produce a valuable educational or clinical decision‐making aid.
Assessment of the sensitivity of 2H MR spectroscopy measurements of [2,3‐2H2]fumarate metabolism for detecting tumor cell death
Authors: Hesse Friederike , Wright Alan , Bulat Flaviu , Kreis Felix , Brindle Kevin M. 
Published: May 2023

AbstractImaging the metabolism of [2,3‐2H2]fumarate to produce malate can be used to detect tumor cell death post‐treatment. Here, we assess the sensitivity of the technique for detecting cell death by lowering the concentration of injected [2,3‐2H2]fumarate and by varying the extent of tumor cell death through changes in drug concentration. Mice were implanted subcutaneously with human triple negative breast cancer cells (MDA‐MB‐231) and injected with 0.1, 0.3, and 0.5 g/kg [2,3‐2H2]fumarate before and after treatment with a multivalent TRAlL‐R2 agonist (MEDI3039) at 0.1, 0.4, and 0.8 mg/kg. Tumor conversion of [2,3‐2H2]fumarate to [2,3‐2H2]malate was assessed from a series of 13 spatially localized 2H MR spectra acquired over 65 min using a pulse‐acquire sequence with a 2‐ms BIR4 adiabatic excitation pulse. Tumors were then excised and stained for histopathological markers of cell death: cleaved caspase 3 (CC3) and DNA damage (terminal deoxynucleotidyl transferase dUTP nick end labeling [TUNEL]). The rate of malate production and the malate/fumarate ratio plateaued at tumor fumarate concentrations of 2 mM, which were obtained with injected [2,3‐2H2]fumarate concentrations of 0.3 g/kg and above. Tumor malate concentration and the malate/fumarate ratio increased linearly with the extent of cell death determined histologically. At an injected [2,3‐2H2]fumarate concentration of 0.3 g/kg, 20% CC3 staining corresponded to a malate concentration of 0.62 mM and a malate/fumarate ratio of 0.21. Extrapolation indicated that there would be no detectable malate at 0% CC3 staining. The use of low and nontoxic fumarate concentrations and the production of [2,3‐2H2]malate at concentrations that are within the range that can be detected clinically suggest this technique could translate to the clinic.
Paternal perinatal depression: A concept analysis
Authors: Chen Jianfei , Zhao Jing , Chen Xiaoli , Zou Zhijie , Ni Zhao 
Published: May 2023

AbstractAimOur aim is to clarify the concept of paternal perinatal depression including its definition, attributes, antecedents and consequences.DesignA concept analysis.MethodsTo obtain relevant evidence, several databases were searched systematically including PubMed, EMBASE, Web of Science, CINAHL, PsycINFO and the Cochrane Library. Qualitative or quantitative articles published in English that focused on paternal perinatal depression were included. After the literature quality assessment, Walker and Avant's concept analysis strategy was used.ResultsFive defining attributes (i.e. symptoms occur during the partner's pregnancy or 1‐year postpartum and last at least 2 weeks, emotional symptoms, somatic symptoms, negative parenting behaviours and ‘masked’ symptoms), four antecedents (i.e. personal issues, pregnancy‐related issues, infant‐related issues, social issues) and three consequences (i.e. offspring outcomes, marital relationship, maternal negative emotions) were identified.
Nonlinear analysis and dynamics of COVID‐19 mathematical model with optimal control strategies
Authors: Muthukumar Sumathi , Myilsamy Kalaiselvi , Balakumar Abilasha , Chinnadurai Veeramani 
Published: May 2023

AbstractEfficacy of the healthcare system and illumination (awareness) activities control COVID‐19. To defend public health, the spreading pandemic of COVID‐19 disease necessitates social distancing, wearing masks, personal cleanliness, and precautions. Due to inadequate awareness programs, COVID‐19 rapidly increases in India. The primary goal of this research is to investigate the spreading behavior of the COVID‐19 virus in India when people are aware of the disease. We find the optimum value of disease transmission rate and detection of the unidentified asymptomatic and symptomatic populations. An optimal control problem is designed with limited resource allocation to improve the recovered individuals. A stability analysis presents for emphasizes the relevance of disease awareness in preventing the spread of the disease. The control parameters are used to explore the increase and decrease of the infected individual with and without control in optimal control analysis. The model is simulated using the Hattaf‐fractional derivative to study the memory effect in the epidemic. To adapt the model to the total number of reported COVID‐19 cases in India, we collected data from March 20, 2021 to September 30, 2021. According to the simulation results, the pandemic would spread faster if awareness campaigns were improperly carried out.
In situ emulsion polymerization of poly (vinyl acetate) and asparagus racemosus biopolymer composites for flexible energy storage applications
Authors: Ramesan M. T. , Sameela T. P. , Meera K. , Bahuleyan B. K. , Verma Meenakshi 
Published: May 2023

AbstractPolymer composites reinforced with synthetic materials are losing acceptability due to significant environmental concerns and high costs. Natural fillers are becoming increasingly popular due to their non‐toxicity, lightweight, low energy consumption, and environmental friendliness. In the present work, poly (vinyl acetate) (PVAc) and asparagus racemosus (AR) bio‐composites have been prepared by an in‐situ emulsion polymerization method. The composite films were subsequently examined by Fourier transform infrared spectroscopy (FT‐IR), X‐ray diffraction, atomic force microscopy (AFM), field emission scanning electron microscopy (FE‐SEM), optical microscope, differential scanning calorimeter (DSC), and thermogravimetric analysis. The formation of AR in PVAc composite was confirmed by the characteristic AR band at 3300 cm−1 in FT‐IR spectra. X‐ray diffraction studies showed a shift in the amorphous peak of PVAc/AR composites compared to pure PVAc. The AFM, FE‐SEM, and optical microscopic results revealed the uniform distribution of AR in the polymer matrix. DSC and TGA measurements showed that the glass transition temperature and thermal stability of PVAc increased with the inclusion of bio‐filler. The tensile strength, hardness, dielectric constant and AC conductivity of PVAc were observed to increases with boehmite inclusion, whereas elongation at break is reduced. As a result, environmentally friendly PVAc/AR composites with good mechanical, thermal and electrical properties could be a viable green substitute for energy storage, flexible electronic, and other electrochemical devices.
A bio‐based multifunctional composite material: Boron nitride and wood fiber to construct thermally conductive cross network
Authors: Zuo Shida , Li Suiyi , Wu Yingji , Li Xiaona , Yuan Yan , Yang Rui , Li Jianzhang , Xia Changlei 
Published: May 2023

AbstractThe high demand for thermally conductive materials in the housing and packaging industry of electronic device highlights the necessity for the development of novel thermal conductivity materials. In this study, waste poplar wood was delignified and combined with boron nitride (hBN) to establish a blend system with a cross thermally conductive network. Using the vacuum‐assisted resin transfer molding process, a biobased composite material was prepared with high thermal conductivity (1.41 W m−1 K−1), mechanical strength (flexural strength of 100.7 MPa and tensile strength of 40.0 MPa), flame retardancy, and water resistance. Compared with raw wood, the incorporation of hBN increased the thermal conductivity of the prepared material by 1324.2%. The high thermal conductivity performance surpassed that of most polymers and elastomers commonly used in electronic component heat dissipation materials, indicating the enormous potential of the prepared composite material in the field of heat dissipation materials.
Chitosan/polyvinyl alcohol/hydroxyapatite nanocomposite membrane for the efficient adsorption of Congo red anionic dye
Authors: Zeynali Vahid , Mousavi Seyed Mahmoud , Saljoughi Ehsan , Kiani Shirin , Sillanpää Mika 
Published: May 2023

AbstractThis work focused on fabricating a novel chitosan/polyvinyl alcohol/ hydroxyapatite (CPH) nanocomposite membrane and its application in removing the Congo red (CR) from aqueous solutions. After proper characterization of the chitosan/polyvinyl alcohol/hydroxyapatite adsorptive membrane, adsorption tests were carried out on the optimum nanocomposite membrane containing 1 wt% hydroxyapatite. The impact of temperature, contact time, initial dye concentration, adsorbent dosage, and pH was investigated. Results of isotherm and kinetic investigation revealed that Langmuir isotherm and pseudo‐second order kinetics best fitted experimental results with R2 values of 0.995. A relatively high adsorption capacity of 491 mg/g, higher than that of activated carbon, was achieved.