bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ethnomedicinal Plants Used for the Treatment of Rabies in Ethiopian Traditional Medical Practices: a review
Authors: teferi samuel chane 
Published: April 2021

Abstract
Background

Rabies is a zoonotic disease affecting a wide range of wild and domestic animals, including livestocks.It is a major public-health problem which presents huge economic and health burdens in most parts of the developing world. The objective of this review was to prepare a compiled checklist of medicinal plants used traditionally for the management of rabies from various ethnobotanical, ethno pharmacological, and related studies in Ethiopia.
Methods

A website-based search strategy was employed. Databases (PubMed, Google Scholar, Research Gate, Medline, Scopus, Web of Science) were searched for published studies. The search items used were“medicinal plants”, “traditional medicines”, and “Ethiopia or Indigenous people.” A descriptive statistical method, percentage and frequency were used to analyze ethno-botanical data on reported medicinal plants and associated indigenous knowledge. The results were presented using charts and tables.
Results

Eighty medicinal plant species which belong to 43 families and 68 genera were found to be used in the treatment of rabies in Ethiopia. Those medicinal plants were distributed in Amhara, Oromia and Southern nation, nationalities and peoples of Ethiopia.Cucurbitaceae and Euphorbiaceae, represented by 7 species (8.75%), Solanaceae represented by 6 (7.5%) species. Phytolacca dodecandra and Justicia schimperianawere the most used/cited plant species. The habit forms of the plant species were herbs 18 (22.5%), shrubs 17 (21.25%) and while the most commonly used parts of the plant were 42% roots and 15% leaf.
Conclusions

According to the review there are many medicinal plants for the treatment of rabies. It is recommended to perform phytochemical screening for most reported plants.Ethiopia requires an enforceable policy that protects wild medicinal plants and policy incentives for the cultivation of medicinal plants to reduce overexploitation.
Nomogram to Predict Successful Septal Collateral Crossing during Percutaneous Coronary Intervention of Chronic Total Occlusion by retrograde approach: The Sep-CTO score
Authors: Liu Tong , Zhan Yuchao , Wu Zheng , Lv Yun , Li Wenzheng , Liu Jinghua 
Published: April 2021

Abstract
Septal collaterals are the main collaterals used in retrograde chronic total occlusion (CTO) percutaneous coronary intervention (PCI). However, there is little evidence regarding the selection of an interventional septal collateral (SC). we aimed to identify the predictors of successful guidewire crossing using clinical and anatomical characteristics. Overall, 216 derivation cases and 86 validation cases that included retrograde CTO PCI were analyzed. The technical success rate was 79.1% and there were no significant differences in the Gensini score, SYNTAX score, J-CTO score and Progress Score between two groups. Multivariate logistic regression analysis revealed that diabetes, small size, corkscrew, and side branch at tortuosity were independent factors of success in crossing SCs. We developed a nomogram to predict the success rate, which demonstrates favorable calibration and formed the Sep-CTO score. The calibration and decision curve analysis also demonstrated the reliability and accuracy of this clinical prediction model. The receiver-operating characteristic area of the nomogram was 0.870. Compared to the aforementioned scoring systems, Sep-CTO score was the most powerful. The nomogram may be a useful clinical tool. We found four independent variables to predict the successful guidewire crossing in septal collaterals.
Dynamical Studies and Numerical Study of the Pandemic Fractional COVID-19 Using the Caputo–Fabrizio Derivative
Authors: Mahdy Amr , Amer Y. A. , Youssef E. S. M. , Adel W. 
Published: April 2021

Abstract
In this document, we are in the process of solving and describing the engineering meaning of one of the most dangerous models that affect humans and that spreads at a tremendous speed between people. A Caputo–Fabrizio type partial request numerical model for the fractional Coronavirus model is introduced. The principal properties of the model are investigated. The presence and uniqueness of the answer for the proposed partial Coronavirus model are given through the fixed-point speculation. The mathematical propagations for the model are obtained by using explicit boundary regards. The non-number solicitation subordinate gives continuously versatile and more significant information about the multifaceted idea of the components of the proposed fractional budgetary models of care model than the entire number solicitation models set up beforehand. This new proposed model better may help to better understand the dynamic of this novel virus and may help to better control it.
Possible Implication of Hypoxia-mediated Incomplete Neutrophil Extracellular Trap Formation in Pneumonia-induced Exacerbation of Lung Diseases
Authors: Masuda Sakiko , Kato Kurumi , Ishibashi Misato , Nishibata Yuka , Sugimoto Ayako , Nakazawa Daigo , Tanaka Satoshi , Tomaru Utano , Tsujino Ichizo , Ishizu Akihiro 
Published: April 2021

Abstract
When patients with preexisting lung diseases, such as chronic obstructive pulmonary disease, interstitial pneumonitis, and pulmonary arterial hypertension, develop pneumonia, the complication often exacerbates the underlying diseases. Although neutrophil extracellular traps (NETs) are important components of innate immune system, the residue of NETs in the tissue can harm the host. We examined the expression of hypoxia-inducible factor 1α (HIF-1α) and NETs in the lungs of patients with lung diseases complicated with pneumonia, and investigated the properties of NETs generated under hypoxia. This study demonstrated that the amount of NETs in pulmonary lesions was greater in patients with pneumonia than in patients without pneumonia and displayed a positive correlation between the amount of NETs and HIF-1α expression. We further demonstrated that the formation of typical lytic NETs was suppressed and round-shaped NETs were generated under hypoxic conditions in vitro. These round NETs were resistant to digestion by the principal NET regulator, DNase I. Focusing on actin rearrangement in neutrophils stimulated under hypoxic conditions, we found that G-actin polymerization and F-actin degradation—both of which are observed time-dependently under normoxic conditions—were disrupted, suggesting that hypoxia mediated the incomplete NET formation. Moreover, neutrophils stimulated under hypoxic conditions possessed cytotoxicity. Accumulation of neutrophils that form degradation-resistant NETs and possess cytotoxicity, which are generated under hypoxic circumstances, are expected to be involved in exacerbation of underlying lung diseases complicated with pneumonia.
Changes of Serum Bilirubin and Urine Peptides Related to Bilirubin Metabolism in Patients with Allergic Rhinitis
Authors: Liu Na , Wang Jitu , Qiu Sainan , Zhang Man 
Published: April 2021

Abstract
Background: The incidence rate of allergic rhinitis (AR) has been increasing, which has become a global health problem. As a kind of inflammatory airway disease, allergic rhinitis has a large number of inflammatory cells and inflammatory mediators that participate. Bilirubin is an effective endogenous antioxidant and anti-inflammatory molecule. This study aims to explore the relationship between bilirubin and allergic rhinitis, and to explore the potential value of bilirubin-related metabolites in blood and urine in the assessment of AR disease. Methods: A total of 63 allergic rhinitis (AR-S group) patients and 86 healthy controls (NC-S group) were enrolled. Venous blood was obtained for measurement of serum total IgE levels and bilirubin parameters. Patients were classified into normal IgE level group (AR2-S group) and elevated IgE level group (AR1-S group). Ten subjects were randomly selected from each group, which were AR2 group, AR1 group and NC group. Urine samples were measured with the nano UPLC-MS/MS system consisting of a Nanoflow HPLC system (EASY-nLC 1000 system from Thermo Scientific) and Orbitrap Fusion Lumos mass spectrometer (Thermo Scientific). Results: The mean total TBIL level (12.5 vs 15.7 μmol /L, p <0.001), median total DBIL level (4.4 vs 5.3 μmol /L, p <0.001) and mean total IBIL level (8.1 vs 10.3 μmol/L, p <0.001) in AR-S group were significantly lower than those in NC-S group. The mean total TBIL level (13.1 vs 15.7 μmol /L, p = 0.007), median total DBIL level (4.74 vs 5.3 μmol /L, p = 0.022), and mean total IBIL level (8.39 vs 10.3 μmol/L, p = 0.005) in AR2-S were significantly lower than those in NC-S group. The median total TBIL level (12.0 vs 15.7 μmol /L, p < 0.001), median total DBIL level (4.09 vs 5.3 μmol /L, p < 0.001), and median total IBIL level (7.91vs 10.3 μmol/L, p <0.001) in AR1-S were significantly lower than those in NC-S group. In addition, we found that there were 15 urine differential proteins related to bilirubin metabolism in AR2 and AR1. Their relative expression levels increased or decreased successively in NC group, normal IgE level group (AR2) and increased IgE level group (AR1). Conclusions: Compared with healthy people, the levels of bilirubin metabolites in patients with allergic rhinitis were decrease in the blood. The levels of bilirubin metabolites in urine of patients with allergic rhinitis have changed. This result suggests that bilirubin may be a new target for AR diagnosis and treatment.
ALKBH5-HOXA10 loop-mediated JAK2 m6A demethylation and platinum resistance in epithelial ovarian cancer
Authors: Nie Sipei , Zhang Lin , Liu Jinhui , Wan Yicong , Jiang Yi , Yang Jing , Sun Rui , Ma Xiaoling , Sun Guodong , Meng Huangyang , Xu Mengting , Cheng Wenjun 
Published: April 2021

Abstract
Background: Chemotherapy resistance remains a barrier in improving the prognosis of epithelial ovarian cancer (EOC), but its mechanism remains to be elucidated. ALKBH5 has been recently proven to be an RNA N6-methyladenosine (m6A) demethyltransferase associated with various cancers, but its role in cancer therapeutic resistance remains unclear. This study aimed to investigate the role of AlkB homolog 5 (ALKBH5) in platinum-resistant EOC.Methods: Functional assays were performed both in vitro and in vivo. RNA sequencing (RNA-seq), m6A-modified RNA immunoprecipitation sequencing (MeRIP-seq), chromatin immunoprecipitation, RNA immunoprecipitation, and luciferase reporter and actinomycin-D assays were performed to investigate RNA/RNA interaction and m6A modification of the ALKBH5-HOXA10 loop.Results: ALKBH5 was upregulated in platinum-resistant EOC and promoted cancer cell cisplatin resistance both in vivo and in vitro. Notably, HOXA10 was found to be the upstream transcription factor of ALKBH5 and formed a loop with ALKBH5., and its overexpression facilitated EOC cell chemoresistance both in vivo and in vitro. HOXA10 overexpression was found to facilitate EOC cell chemoresistance both in vivo and in vitro. Collective results of MeRIP-seq and RNA-seq showed that JAK2 is an m6A-modified gene targeted by ALKBH5. The JAK2/STAT3 signaling pathway was activated by overexpression of the ALKBH5-HOXA10 loop, and this resulted in EOC chemoresistance. Cell sensitivity to cisplatin was rescued by ALKBH5 and HOXA10 knockdown or inhibition of the JAK2/STAT3 signaling pathway in EOC cells overexpressing ALKBH5-HOXA10.Conclusions: The ALKBH5-HOXA10 loop jointly activates the JAK2/STAT3 signaling pathway by mediating JAK2 m6A demethylation, promoting EOC resistance to platinum. Thus, inhibition of the expression of the ALKBH5-HOXA10 loop maybe a potential strategy to overcome platinum resistance in EOC.
Identification of electronic waste (e-waste) generation from the household and non-household sectors in Indonesia and its sustainable management system
Authors: Widyarsana I Made Wahyu , Supramono Dewi Suryanindah , Tambunan Suci Ameliya , Mulyadi Aurilia Ayuanda 
Published: April 2021

Abstract
The rapid development of technology has spurred competition among electronics manufacturers to innovate. The resulting electronic waste (e-waste) has potential hazards due to its composition. The prediction of e-waste generation is carried out using the Delay Model method, modified by applying end-of-life (EoL) value to the lifespan to adjust Indonesian society’s treatment of e-waste. The calculations show that the prediction of hazardous material from Indonesia’s household sector will reach 16,653.73 tonnes in 2040, while the non-household sector comes to 25,391.72 tonnes in 2040. The most e-product produced from the household sector is TV with 3,763.74 tonnes, while the non-household sector is also dominated by TV with 23,380.52 tonnes in 2040. The composition of materials obtained from e-waste, in general, is 1% hazardous materials, 31% ferrous metal, then 27% glass and plastic materials, 6% non-ferrous metals, and 8% other materials. Thus, the total generation of e-waste will reach 4,204,545.43 tonnes, and the hazardous components in e-products only reach 42,045.45 tonnes or about 1% of the total e-product generation. In the future, it is necessary to integrate and formalize the handling of e-waste from the informal sector, which has been developing into the formal sector. This research is expected to be used as a reference by the government to make regulations, plans, and strategies related to hazardous waste management to prevent harm to the environment and human health.
The Potential of Multi-rotor Drone to Strengthen Emergency Medical Service System: a preliminary study in a Chinese county
Authors: Zhang Minhai , Li Qiang , Shi Lin , Ge Fangmin , Yu Hang , Wang Hui , Khan Zafar Ullah , Zhang Mao 
Published: April 2021

Abstract
Objective: To explore the feasibility and advantage of using multi-rotor drones in a county emergency medical service system.Methods: This study was conducted in Changxing County, Zhejiang Province from January to September 2018. We applied drones to simulate the transfer of first aid materials from health centers to the Changxing County People's Hospital. A total of 3 indicators were obtained: (1) The flight time of the drone; (2) The estimated time of ambulance dispatched from the county hospital was measured by Baidu map, Amap and Tencent map software; (3) The road transportation time measured by Amap software at 0: 00, 8: 00, 10:00, 12:00, 14:00, 16:00, 18:00, 20:00.Results: A total of 10 health centers were included in this study. Linear distance from county people's hospital to these centers was (10.97±3.59) km, and the road distance was (13.61±4.95) km. (2) The flight time of drones were (16.35±5.15) min, less than road transportation time measured by Amap, Baidu, and Tencent map software, which was (21.40±5.15) min, (22.50±6.11) min, (22.00±5.23) min, respectively (P＜0.01). The road transportation time measured using Amap software was longer than that of drones from 0:00 to 20:00 (P＜0.01), with the maximum time of (27.80±6.12) min at 18:00, and the minimum time of (21.40±5.15) min at midnight. Drones could save up to 14.07 min at most and 2.8min at least, with an average save of (7.98±1.32) min.Conclusions: Drone was faster than road transportation to transfer first aid medical supplies within a county. Further researches are needed to integrate drone into emergency medical service system.
TAT-Beclin1 Represses the Carcinogenesis of DUSP4-positive PTC by Enhancing Autophagy
Authors: Zang Leilei , Song Yanmei , Tian Yanhua , Hu Ning 
Published: April 2021

Abstract
Background: DUSP4 is a pro-tumorigenic molecule of papillary thyroid carcinoma (PTC). DUSP4 also exists as an autophagic regulator. Moreover, DUSP4, as a negative regulator of MAPK, can prevent Beclin1 from participating in autophagic response. This study aimed to explore whether TAT-Beclin1, a recombinant protein of Beclin1, could inhibit the tumorigenesis of DUSP4-positive PTC by regulating autophagy.Methods: First, we divided PTC cancer tissues into three groups according to DUSP4 expression levels by immunohistochemical analyses, and evaluated the relationship between the expression of autophagic proteins (Beclin1 and LC3II) and DUSP4 expression using Western blotting assays. After overexpression of DUSP4 by lentiviral transduction, the roles of TAT-Beclin1 on DUSP4-overexpressed PTC was detected.Results: Our results showed that the expression levels of autophagic proteins (Beclin1 and LC3II) increased with the increase of DUSP4 expression in PTC carcinomas. In PTC cells, DUSP4 overexpression-inhibited autophagic activity (including Beclin1 expression, LC3 conversion rate and LC3-puncta formation) and -promoted cell proliferation and migration were reversed by TAT-Beclin1 administration. In vivo assays also showed that DUSP4-overexpressed PTC cells had stronger tumorigenic ability and weaker autophagic activity, which was recovered by TAT-Beclin1 administration. Conclusions: TAT-Beclin1, as an autophagic promoter, could repress the carcinogenesis of DUSP4-positive PTC, which implies that the addition of TAT-Beclin1 may be determined through detecting the levels of DUSP4 in the treatment of PTC.
Impact of Changing Guidelines on Genetic Testing and Surveillance Recommendations in a Contemporary Cohort of Breast Cancer Survivors with Family History of Pancreatic Cancer
Authors: Wang Annie , Everett Jessica N. , Chun Jennifer , Cen Cindy , Simeone Diane M. , Schnabel Freya 
Published: April 2021

Abstract
Background: Changing practice guidelines and recommendations have important implications for cancer survivors. This study investigated genetic testing patterns and outcomes and reported family history of pancreatic cancer (FHPC) in a large registry population of breast cancer (BC) patients. Methods: Variables including clinical and demographic characteristics, FHPC in a first or second-degree relative, and genetic testing outcomes were analyzed for BC patients diagnosed between 2010-2018 in the NYU Langone Health Breast Cancer Database. Results: Among 3334 BC patients, 232 (7%) had a positive FHPC. BC patients with FHPC were 1.68 times more likely to have undergone genetic testing (p<0.001), but 33% had testing for BRCA1/2 only and 44% had no genetic testing. Pathogenic germline variants (PGV) were identified in 15/129 (11.6%) BC patients with FHPC, and in 145/1315 (11.0%) BC patients without FHPC. Across both groups, updates in genetic testing criteria and recommendations could impact up to 80% of this cohort. Conclusions: Within a contemporary cohort of BC patients, 7% had a positive FHPC. The majority of these patients (56%) had no genetic testing, or incomplete testing by current standards, suggesting under-diagnosis of PC risk. This study supports recommendations for survivorship care that incorporate ongoing genetic risk assessment and counseling.
Potential Application of Measuring Serum Infliximab Levels in Rheumatoid Arthritis Management: A Retrospective Study based on KURAMA Cohort Data
Authors: Nakae Kazuto , Masui Sho , Yonezawa Atsushi , Hashimoto Motomu , Watanabe Ryu , Murata Koichi , Murakami Kosaku , Tanaka Masao , Ito Hiromu , Yokoyama Kotoko , Iwamoto Noriko , Shimada Takashi , Nakamura Miyuki , Denda Masaya , Itohara Kotaro , Nakagawa Shunsaku , Ikemi Yasuaki , Imai Satoshi , Nakagawa Takayuki , Hayakari Makoto , Matsubara Kazuo 
Published: April 2021

Abstract
Background Infliximab (IFX) therapy has considerably improved the treatment of rheumatoid arthritis (RA). On the other hand, in some patients, the efficacy of IFX therapy is not adequate, or gradually diminishes with the lapse of the treatment. Although previous studies have reported a positive relationship between serum IFX levels and therapeutic efficacy, the potential application of IFX therapeutic drug monitoring (TDM) in clinical practice remains unclear. The purpose of this study was to investigate the potential applications of IFX TDM by analyzing a Japanese cohort database. Methods Data were collected retrospectively from the Kyoto University Rheumatoid Arthritis Management Alliance, KURAMA,cohort between January 1, 2011, and December 31, 2018. Serum IFX levels were measured using liquid chromatography-tandem mass spectrometry. Results Out of the 311 RA patients who received IFX therapy, 41 were eligible for analysis. Serum IFX levels were significantly higher in responders than in non-responders. An optimal cut-off value was determined to be 0.4 µg/mL based on a receiver operating characteristic curve. At the IFX measurement point, a better therapeutic response was observed in the High-IFX group (n = 31) than in the Low-IFX group (n = 10). Conversely, at the maximum effect point, when DAS28-ESR (the 28 joint disease activity score incorporating erythrocyte sedimentation rate) was the lowest between IFX introduction and measurement points, there were no differences in responder proportions between the Low- and High-IFX groups. Conclusions In clinical practice, IFX primary ineffectiveness could be avoided with appropriate dose escalation without blood concentration measurement. However, IFX TDM could facilitate the identification of secondary non-responders, and in turn, proper IFX use.
MTDDI: a graph convolutional network framework for predicting Multi-Type Drug-Drug Interactions
Authors: Feng YueHua , Zhang Shao-Wu , Zhang Qing-Qing , Zhang Chu-Han , Shi Jian-Yu 
Published: April 2021

Abstract
Although the polypharmacy has both higher therapeutic efficacy and less drug resistance in combating complex diseases, drug-drug interactions (DDIs) may trigger unexpected pharmacological effects, such as side effects, adverse reactions, or even serious toxicity. Thus, it is crucial to identify DDIs and explore its underlying mechanism (e.g., DDIs types) for polypharmacy safety. However, the detection of DDIs in assays is still time-consuming and costly, due to the need of experimental search over a large drug combinational space. Machine learning methods have been proved as a promising and efficient method for preliminary DDI screening. Most shallow learning-based predictive methods focus on whether a drug interacts with another or not. Although deep learning (DL)-based predictive methods address a more realistic screening task for identifying the DDI types, they only predict the DDI types of known DDI, ignoring the structural relationship between DDI entries, and they also cannot reveal the knowledge about the dependence between DDI types. Thus, here we proposed a novel end-to-end deep learning-based predictive method (called MTDDI) to predict DDIs as well as its types, exploring the underlying mechanism of DDIs. MTDDI designs an encoder derived from enhanced deep relational graph convolutional networks to capture the structural relationship between multi-type DDI entries, and adopts the tensor-like decoder to uniformly model both single-fold interactions and multi-fold interactions to reflect the relation between DDI types. The results show that our MTDDI is superior to other state-of-the-art deep learning-based methods. For predicting the multi-type DDIs with unknown DDIs in case of both single-fold DDIs and multi-fold DDIs, we validated the effectiveness and the practical capability of our MTDDI. More importantly, MTDDI can reveal the dependency between DDI types. These crucial observations are beneficial to uncover the mechanism and regularity of DDIs.