bluuebunny/crossref_metadata_2025_split huggingface dataset:
What samples are suitable for monitoring antimicrobial-resistant genes? Using NGS technology, a comparison between eDNA and mrDNA analysis from environmental water
Authors: Takeda-Nishikawa Kahoko , Palanichamy Rajaguru , Miyazato Naoki , Suzuki Takayoshi 
Published: December 2023

IntroductionThe rise in antimicrobial resistance (AMR) that is affecting humans, animals, and the environment, compromises the human immune system and represents a significant threat to public health. Regarding the impact on water sanitation, the risk that antimicrobial-resistant genes (ARGs) and antimicrobial-resistant bacteria in surface water in cities pose to human health remains unclear. To determine the prevalence of AMR in environmental surface water in Japan, we used DNA sequencing techniques on environmental water DNA (eDNA) and the DNA of multidrug-resistant bacteria (mrDNA).MethodsThe eDNA was extracted from four surface water samples obtained from the Tokyo area and subjected to high- throughput next-generation DNA sequencing using Illumina-derived shotgun metagenome analysis. The sequence data were analyzed using the AmrPlusPlus pipeline and the MEGARes database. Multidrug-resistant bacteria were isolated using a culture-based method from water samples and were screened by antimicrobial susceptibility testing (for tetracycline, ampicillin-sulbactam, amikacin, levofloxacin, imipenem, and clarithromycin). Of the 284 isolates, 22 were identified as multidrug-resistant bacteria. The mrDNA was sequenced using the Oxford nanopore MinION system and analyzed by NanoARG, a web service for detecting and contextualizing ARGs.Results and discussionThe results from eDNA and mrDNA revealed that ARGs encoding beta-lactams and multidrug resistance, including multidrug efflux pump genes, were frequently detected in surface water samples. However, mrDNA also revealed many sequence reads from multidrug-resistant bacteria, as well as nonspecific ARGs, whereas eDNA revealed specific ARGs such as pathogenic OXA-type and New Delhi metallo (NDM)-beta-lactamase ARGs.ConclusionTo estimate potential AMR pollution, our findings suggested that eDNA is preferable for detecting pathogen ARGs.
Classification of cognitive impairment in older adults based on brain functional state measurement data via hierarchical clustering analysis
Authors: Liu Yangxiaoxue , Wang Na , Su Xinling , Zhao Tianshu , Zhang Jiali , Geng Yuhan , Wang Ning , Zhou Ming , Zhang Gongzi , Huang Liping 
Published: December 2023

IntroductionCognitive impairment (CI) is a common degenerative condition in the older population. However, the current methods for assessing CI are not based on brain functional state, which leads to delayed diagnosis, limiting the initiatives towards achieving early interventions.MethodsA total of one hundred and forty-nine community-dwelling older adults were recruited. Montreal Cognitive Assessment (MoCA) and Mini-Mental State Exam (MMSE) were used to screen for CI, while brain functional was assessed by brain functional state measurement (BFSM) based on electroencephalogram. Bain functional state indicators associated with CI were selected by lasso and logistic regression models (LRM). We then classified the CI participants based on the selected variables using hierarchical clustering analysis.ResultsEighty-one participants with CI detected by MoCA were divided into five groups. Cluster 1 had relatively lower brain functional states. Cluster 2 had highest mental task-switching index (MTSi, 13.7 ± 3.4), Cluster 3 had the highest sensory threshold index (STi, 29.9 ± 7.7), Cluster 4 had high mental fatigue index (MFi) and cluster 5 had the highest mental refractory period index (MRPi), and external apprehension index (EAi) (21.6 ± 4.4, 35.4 ± 17.7, respectively). Thirty-three participants with CI detected by MMSE were divided into 3 categories. Cluster 1 had the highest introspective intensity index (IIi, 63.4 ± 20.0), anxiety tendency index (ATi, 67.2 ± 13.6), emotional resistance index (ERi, 50.2 ± 11.9), and hypoxia index (Hi, 41.8 ± 8.3). Cluster 2 had the highest implicit cognitive threshold index (ICTi, 87.2 ± 12.7), and cognitive efficiency index (CEi, 213.8 ± 72.0). Cluster 3 had higher STi. The classifications both showed well intra-group consistency and inter-group variability.ConclusionIn our study, BFSM-based classification can be used to identify clinically and brain-functionally relevant CI subtypes, by which clinicians can perform personalized early rehabilitation.
Monitoring time domain characteristics of Parkinson’s disease using 3D memristive neuromorphic system
Authors: Siddique Md Abu Bakr , Zhang Yan , An Hongyu 
Published: December 2023

IntroductionParkinson’s disease (PD) is a neurodegenerative disorder affecting millions of patients. Closed-Loop Deep Brain Stimulation (CL-DBS) is a therapy that can alleviate the symptoms of PD. The CL-DBS system consists of an electrode sending electrical stimulation signals to a specific region of the brain and a battery-powered stimulator implanted in the chest. The electrical stimuli in CL-DBS systems need to be adjusted in real-time in accordance with the state of PD symptoms. Therefore, fast and precise monitoring of PD symptoms is a critical function for CL-DBS systems. However, the current CL-DBS techniques suffer from high computational demands for real-time PD symptom monitoring, which are not feasible for implanted and wearable medical devices.MethodsIn this paper, we present an energy-efficient neuromorphic PD symptom detector using memristive three-dimensional integrated circuits (3D-ICs). The excessive oscillation at beta frequencies (13–35 Hz) at the subthalamic nucleus (STN) is used as a biomarker of PD symptoms.ResultsSimulation results demonstrate that our neuromorphic PD detector, implemented with an 8-layer spiking Long Short-Term Memory (S-LSTM), excels in recognizing PD symptoms, achieving a training accuracy of 99.74% and a validation accuracy of 99.52% for a 75%–25% data split. Furthermore, we evaluated the improvement of our neuromorphic CL-DBS detector using NeuroSIM. The chip area, latency, energy, and power consumption of our CL-DBS detector were reduced by 47.4%, 66.63%, 65.6%, and 67.5%, respectively, for monolithic 3D-ICs. Similarly, for heterogeneous 3D-ICs, employing memristive synapses to replace traditional Static Random Access Memory (SRAM) resulted in reductions of 44.8%, 64.75%, 65.28%, and 67.7% in chip area, latency, and power usage.DiscussionThis study introduces a novel approach for PD symptom evaluation by directly utilizing spiking signals from neural activities in the time domain. This method significantly reduces the time and energy required for signal conversion compared to traditional frequency domain approaches. The study pioneers the use of neuromorphic computing and memristors in designing CL-DBS systems, surpassing SRAM-based designs in chip design area, latency, and energy efficiency. Lastly, the proposed neuromorphic PD detector demonstrates high resilience to timing variations in brain neural signals, as confirmed by robustness analysis.
Case report: Orthostatic leg tremor as the initial manifestation in a patient with metabotropic glutamate receptor-5 encephalitis without cortical dysfunction: complexities in identification and treatment
Authors: Yang Xia , Liu Qiong , Lai Ming-feng , Ma Xiao-hong , Hao Xiao-ting , Xu Jia-jun , Guo Wan-jun 
Published: December 2023

ObjectiveMetabotropic glutamate receptor 5 (mGluR5) encephalitis is such a rare type of autoimmune encephalitis that its diagnosis remains a challenge.Case reportA 19-year-old female patient initially presented with anxiety and orthostatic leg tremors without cortical dysfunction. We found that this patient was positive for mGluR5 antibodies in both serum (1:1,000) and cerebrospinal fluid (1:32). After comprehensive intervention, the patient showed complete recovery at the 18-month follow-up.DiscussionThis report expands our knowledge of the possible presentations of mGluR5 encephalitis for early diagnosis, which makes it possible to prevent serious consequences and improve the prognosis.
The RAPID-score: Risk Assessment and PredIction of Delirium in acute stroke patients based on very early clinical parameters
Authors: Wischmann Johannes , Kremer Pauline , Hinske Ludwig , Tomasi Roland , Becker-Pennrich Andrea S. , Kellert Lars 
Published: December 2023

Background and objectivePost-stroke delirium (PSD) is a common complication in acute stroke patients, and guidelines recommend routine screening and various preventive and treatment measures. However, there is a substantial lack of standardized approaches in diagnostic and therapeutic management of PSD. Here, we aimed to develop a new pragmatic and easily assessable screening tool to predict PSD based on early parameters, which are already integral to acute stroke diagnostics.MethodsWe enrolled acute stroke patients admitted to our stroke unit or intensive care unit and developed the scoring system using retrospective single-center patient data. The Confusion Assessment Method for the Intensive Care Unit was used for prospective score validation. Logistic regression models were employed to analyze the association of early clinical and paraclinical parameters with PSD development.ResultsN = 525 patients (median age: 76 years; 45.7% female) were enrolled, with 29.7% developing PSD during hospitalization. The resulting score comprises 6 items, including medical history, clinical examination findings, and non-contrast computed tomography results at admission. Scores range from −15 to +15 points, with higher values indicating a higher likelihood of PSD, ranging from 4% to 79%. The accuracy was 0.85, and the area under the curve was 0.89.ConclusionThe new RAPID (Risk Assessment and PredIction of Delirium in acute stroke patients)-score shows high accuracy in predicting PSD among acute stroke patients and offers precise odds of PSD for each corresponding score value, utilizing routine early clinical and paraclinical parameters. It can identify high-risk populations for clinical study interventions and may be suitable to guide prophylactic PSD measures.
Prevalence and factors associated with adequate dietary diversity among pregnant women in Nekemte town, Western Ethiopia, 2021
Authors: Bikila Haile , Ariti Berhanu Tessisa , Fite Meseret Belete , Sanbata Jabessa Hatahu 
Published: December 2023

BackgroundDietary diversity refers to increasing the consumption of a variety of foods. The consumption of diversified food during pregnancy enables the adequate intake of 11 important micronutrients. Inadequate dietary intake during pregnancy is the major determinant factor in the risk of low birth weight infants. It is capable of ensuring the adequate intake of essential nutrients, which can promote good physical health and mental development. Pregnant women require more protein, iron, iodine, vitamin A, folate, and other nutrients. Adequate intake of fruit, vegetables, and animal products throughout the life cycle helps ensure that women enter pregnancy and lactation without deficiencies. Micronutrient deficiency and protein, carbohydrate, and fat intake imbalances are also linked to an increased risk of chronic disease.ObjectiveTo assess the prevalence and associated factors with adequate dietary diversity among pregnant woman in Nekemte town, western Ethiopia, 202.1.MethodsA community-based cross-sectional study was conducted among 475 pregnant women in the town. We used a systematic random sampling technique. Data were collected through face-to-face interviews by trained data collectors using a validated questionnaire. Before being exported to STATA version 14, data were entered into EpiData version 3.1, cleaned, coded, and checked for missing values. Results from bivariable analysis of p-value less than 0.25 were moved to a multivariable binary logistic regression model for analysis. Finally, multivariable logistic regression with p-value of less than 0.05 was considered statistically significant.ResultsThe Prevalence of adequate dietary diversity was 43.6% (95% CI; 39.1–48.1). Households with the richest wealth index adjusted odds ratio (AOR = 3.17; 95%Confidence Interval = 1.60–6.28), those who have antenatal care (AOR = 2.16; 95%CI = 1.22–3.84), and women who were government employees (AOR = 1.87; 95%CI = 1.01–3.48) were positively associated with adequate dietary diversity. On the other hand, food-insecure households (AOR = 0.34; 95%CI = 0.17–0.66), women who had not changed their meal frequency (AOR = 0.613; 95%CI = 0.38–0.99), and women in their third trimester (AOR = 0.40; 95%CI = 0.20–0.81) were negatively associated with adequate dietary diversity during pregnancy.ConclusionThe findings showed that there was a low acceptable level of dietary diversity among pregnant women in the town. Wealth index, antenatal care, women’s occupation, household food insecurity, gestational age, and not changing meal frequency were identified as factors associated with adequate dietary diversity. Therefore, multi-sectoral collaboration is needed to enhance the dietary diversity of pregnant women by promoting women’s employment and strengthening sustainable income-generating activities.
Clinical exploration of the international society of limb salvage classification of endoprosthetic failure using Henderson in the application of 3D-printed pelvic tumor prostheses
Authors: Liu Bin , Yang Fang , Zhang Tian Wen , Tan Jiachang , Yuan Zhenchao 
Published: December 2023

BackgroundThe use of 3D-printed pelvic prosthesis for postoperative reconstruction after pelvic tumor resection has become one of the primary reconstruction methods the incidence of complications related to postoperative prosthesis reconstruction is high. Drawing on the failure of the type of bone tumor reconstruction in Henderson,the occurrence of postoperative complications was explored to take advantage of the design improvement of the 3D-printed prosthesis of subsequent pelvic tumors.MethodsThe data for patients who underwent 3D-printed pelvic tumor prostheses in the Department of Bone and Soft Tissue Surgery at the Affiliated Cancer Hospital of Guangxi Medical University from January 2019 to October 2022 were collected and analyzed.ResultsThe median follow-up time for all patients was 15.99 months (1.33-31.16 months). At the most recent follow-up,all patients were alive,with an average Musculoskeletal Tumor Society (MSTS) score of 21.46 (17 to 26 points). Local recurrence occurred in two cases (15.3%), metastasis in four cases (30.7%), and complications in 10 cases (76.9%). Early complications after surgery were primarily local wound fissure, deep tissue infection, and postoperative neuralgia. Later complications included loose dissolution of internal fixation, postoperative prosthetic dislocation, and postoperative gluteal middle muscle gait.Conclusion3D printing personalized design pelvic tumor prosthesis is an effective way to reconstruct, and designing pelvic 3D printed tumor prosthesis with the help of Henderson’s bone tumor reconstruction failure concept may help bone tumor surgeons develop better pelvic tumor prosthesis.
Multi-parametric MRI-based radiomics for preoperative prediction of multiple biological characteristics in endometrial cancer
Authors: Ma Changjun , Zhao Ying , Song Qingling , Meng Xing , Xu Qihao , Tian Shifeng , Chen Lihua , Wang Nan , Song Qingwei , Lin Liangjie , Wang Jiazheng , Liu Ailian 
Published: December 2023

PurposeTo develop and validate multi-parametric MRI (MP-MRI)-based radiomics models for the prediction of biological characteristics in endometrial cancer (EC).MethodsA total of 292 patients with EC were divided into LVSI (n = 208), DMI (n = 292), MSI (n = 95), and Her-2 (n = 198) subsets. Total 2316 radiomics features were extracted from MP-MRI (T2WI, DWI, and ADC) images, and clinical factors (age, FIGO stage, differentiation degree, pathological type, menopausal state, and irregular vaginal bleeding) were included. Intra-class correlation coefficient (ICC), spearman’s rank correlation test, univariate logistic regression, and least absolute shrinkage and selection operator (LASSO) were used to select radiomics features; univariate and multivariate logistic regression were used to identify clinical independent risk factors. Five classifiers were applied (logistic regression, random forest, decision tree, K-nearest neighbor, and Bayes) to construct radiomics models for predicting biological characteristics. The clinical model was built based on the clinical independent risk factors. The combined model incorporating the radiomics score (radscore) and the clinical independent risk factors was constructed. The model was evaluated by ROC curve, calibration curve (H-L test), and decision curve analysis (DCA).ResultsIn the training cohort, the RF radiomics model performed best among the five classifiers for the three subsets (MSI, LVSI, and DMI) according to AUC values (AUCMSI: 0.844; AUCLVSI: 0.952; AUCDMI: 0.840) except for Her-2 subset (Decision tree: AUC=0.714), and the combined model had higher AUC than the clinical model in each subset (MSI: AUCcombined =0.907, AUCclinical =0.755; LVSI: AUCcombined =0.959, AUCclinical =0.835; DMI: AUCcombined = 0.883, AUCclinical =0.796; Her-2: AUCcombined =0.812, AUCclinical =0.717; all P&lt;0.05). Nevertheless, in the validation cohort, significant differences between the two models (combined vs. clinical model) were found only in the DMI and LVSI subsets (DMI: AUCcombined =0.803, AUCclinical =0.698; LVSI: AUCcombined =0.926, AUCclinical =0.796; all P&lt;0.05).ConclusionThe radiomics analysis based on MP-MRI and clinical independent risk factors can potentially predict multiple biological features of EC, including DMI, LVSI, MSI, and Her-2, and provide valuable guidance for clinical decision-making.
Expression and clinical implications of PARs in the stenotic tissue of ureteropelvic junction obstruction
Authors: Wang Tianyi , Fu Mingcui , Yan Xiangming , Song Hongcheng , Zhang Weiping 
Published: December 2023

ObjectiveTo explore the expression and clinical implications of protease activated receptors (PARs) in the pathogenesis of children with ureteropelvic junction obstruction (UPJO).Material and methodsImmunohistochemistry was employed to investigate the distribution of PARs in both normal human ureteropelvic junction (UPJ) and cases of UPJO. Furthermore, PAR gene expression levels were assessed using real-time PCR (RT-PCR), and the patients in the UPJO group were stratified according to the Onen grading system. Subsequently, the clinical implications of PARs in UPJO were explored through RT-PCR analysis.ResultsImmunofluorescence showed robust PAR2 expression in the control group compared with the UPJO group. The results of RT-PCR analysis revealed a significant decrease in the relative mRNA expression of PAR2 in the UPJO group compared to the control group. Notably, the relative RNA expression of PAR1 was significantly lower in the Onen-4 group compared to the control group. Furthermore, the relative mRNA expression of PAR2 exhibited a statistically significant difference among the Onen-3 group, Onen-4 group, and control group.ConclusionsPARs are widely distributed throughout the SIP syncytium of the UPJ and play a role in maintaining smooth muscle cells (SMCs) membrane potential by interacting with interstitial cells of Cajal (ICCs), as well as platelet-derived growth factor receptor alpha-positive cells (PDGFR α+ cells). The decreased expression of PAR1 suggests a higher preoperative Onen grade in UPJO patients. Furthermore, the downregulation of PAR2 effects at the UPJ may be involved in the loss of inhibitory neuromuscular transmission, disrupting the rhythmic peristalsis of the UPJ.
Posterior reversible encephalopathy syndrome associated with use of anlotinib to treat squamous cell carcinoma of the cervix: case report and literature review
Authors: Lin Jietao , Chen Wenmin , Zhong Sha , Qian Kai , Chen Hanrui , Lin Lizhu 
Published: December 2023

Background: Posterior reversible encephalopathy syndrome (PRES), a neurological disorder with an unknown aetiology, is characterised by visual impairment, headache, vomiting, seizures, and transient alterations in consciousness.Case report: We present the case of a 49-year-old woman with advanced cervical carcinoma who received second-line therapy with oral anlotinib (12 mg, days 1–14, every 21 days) and injectable tislelizumab (200 mg, day 1, every 21 days). After 7 days of anlotinib administration, she began experiencing symptoms suggestive of PRES and was diagnosed on day 11. Interruption of anlotinib and supportive treatment led to recovery of her binocular vision. The Naranjo score (+5) graded the causality of this reaction as probable, suggesting the possibility that the event may have been an adverse reaction to anlotinib.Ethics: This case report was approved by the Ethics Committee of the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine (Reference no. K-2023-068, 2023/06/09). Informed consent was obtained from the patient and her family.
Anticoagulant drugs for patients with atrial fibrillation on dialysis: a systematic analysis and network meta-analysis
Authors: Shen Xian-Feng , Zhang Chao , Hu Jun , Zhang Tao , Ma Bin 
Published: December 2023

Objective: A lack of clarity persists regarding the efficacy and risks associated with direct oral anticoagulants (DOACs) in end-stage renal disease (ESRD) patients with atrial fibrillation (AF) undergoing dialysis, primarily due to limited retrospective studies. Therefore, the objective of this study was to evaluate the existing data and propose a practical protocol for the clinical utilization of DOACs in ESRD patients with AF undergoing dialysis.Methods: PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials were searched for clinical studies evaluating DOACs in ESRD patients with AF on dialysis published up to 2 February 2023. DOACs included warfarin, dabigatran, apixaban, edoxaban, and rivaroxaban. The outcomes were mortality, ischemic stroke, hemorrhagic stroke, any stroke, gastrointestinal bleeding, major bleeding, intracranial bleeding, and minor bleeding.Results: Compared with placebo, apixaban (HR = 0.97, 95% CI: 0.88–1.07), rivaroxaban (HR = 0.91, 95% CI: 0.76–1.10), and warfarin (HR = 0.96, 95% CI: 0.90–1.01) did not reduce mortality. Regarding direct comparisons of mortality, the comparisons of warfarin vs. apixaban (HR = 0.99, 95% CI: 0.92–1.06), placebo vs. warfarin (HR = 1.04, 95% CI: 0.99–1.11), and rivaroxaban vs. warfarin (HR = 0.96, 95% CI: 0.80–1.14) did not significantly reduce mortality. Based on the surface under the cumulative ranking curve, rivaroxaban (75.53%), warfarin (62.14%), and apixaban (45.6%) were the most effective interventions for managing mortality, and placebo (16.74%) was the worst.Conclusion: In conclusion, rivaroxaban demonstrated efficacy in reducing mortality and the incidence of ischemic stroke, gastrointestinal bleeding, and intracranial hemorrhage. Dabigatran is recommended for the prevention of hemorrhagic stroke. However, caution should be exercised due to the risk of major bleeding. Warfarin can effectively reduce minor bleeding but does not offer significant protection against gastrointestinal or intracranial bleeding. Apixaban was not recommended for mortality reduction or for preventing ischemic or hemorrhagic strokes. Further research will be necessary to establish specific clinical protocols.