bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dysfunction of Decidual Macrophages Is Apotential Risk Factor in the Occurrence of Preeclampsia
Authors: Rong Miaomiao , Yan Xingyu , Zhang Hongya , Zhou Chan , Zhang Cong 
Published: January 2021

Abstract
Background: Preeclampsia is a multi-factorial and multi-genetic disorder that affects more than eight million mother and baby pairs each year. Currently, most of the attention to the pathogenesis of preeclampsia has been focused on placenta, but recent progresses suggest that excellent decidualization lays foundation for placentation and growth. Moreover, preeclampsia is associated with an imbalance in immunoregulatory mechanisms, however, how the immune regulatory system in the decidua affects preeclampsia is still unclear.Methods: In our study, we used conventional expression profiling to compare the expression and function of differential genes contained in decidua parietalis of the preeclampsia and normal human. After intersecting the genes differentially expressed between preeclampsia and the control and the genes contained in the ligand receptor network, we further explored their involvement in cell-to-cell interactions using CellPhoneDB analysis. We finally used single-cell sequencing to detect interactions between decidual cells.Results: After intersecting the genes of differentially expressed between preeclampsia and the control gotten by conventional sequencing and the genes contained in the ligand receptor network, we found eight differentially expressed genes in a ligand-receptor relationship, and the eight genes have a characteristic: most of them participate in the interaction between decidual macrophages and other decidual immune cells. The results of single-cell sequencing of decidual cells further demonstrated that decidual macrophages affect the functions of other immune cells through export. As a result, abnormal gene expression affects the export function of decidual macrophages, which in turn affects the interaction of decidual macrophages with other immune cells.Conclusions: The abnormal export function of decidual macrophages affects the function of immune cells interacting with them, thereby destroying the original immune regulation mechanism, and ultimately leading to the occurrence of preeclampsia.
Impact of COVID-19 on the Central Nervous System: Are Spontaneous Intracranial Haemorrhage and Aseptic Meningitis Extrapulmonary Manifestations of COVID-19?
Authors: HASSAN MOHAMED AWAD MOHAMED 
Published: January 2021

Abstract
Background:The coronavirus pandemic that started in December 2019 is mainly related to respiratory symptoms. Clinical presentations have been reported, but so far, no definitive therapy has been established. Intracranial haemorrhage has been observed in patients with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection, but the clinical, imaging, and pathophysiological features of intracranial bleeding during coronavirus disease 2019 (COVID-19) infection remain poorly characterized. The occurrence of spontaneous intracranial haemorrhage complicated with aseptic meningitis secondary to COVID-19 is extremely rare.Case presentation:A 19-month-old fever, and shortness of breath was admitted to our intensive care unit on an emergency basis. Two weeks later, the patient developed a generalized convulsion with deterioration of consciousness. A computed tomography scan of the brain revealed a bifrontal intracerebral haemorrhage compressing the anterior horns of both lateral ventricles of the brain with a massive intraventricular haemorrhage causing hydrocephalus. Emergency ventriculostomy was performed, and a nasal swab for SARSCoV-2 was positive. Cerebrospinal fluid analysis and culture were negative for microorganisms, and analysis revealed features of aseptic meningitis.Conclusions:The possible occurrence of spontaneous intracranial haemorrhage and aseptic meningitis should be kept in mind by physicians, especially when treating critically ill young children with COVID-19. Early recognition Conclusions: The possible occurrence of spontaneous intracranial haemorrhage and aseptic meningitis should be kept in mind by physicians, especially when treating critically ill young children with COVID- 19. Early recognition of central nervous system involvement may be key to providing a better prognosis.
Human Placental Mesenchymal Stem Cells Ameliorate Liver Fibrosis in Mice by Upregulation of Caveolin1 in Hepatic Stellate Cells
Authors: Yao Yunqi , Xia Zhemin , Cheng Fuyi , Jang Qingyuan , He Jiao , Pan Cheng , Zhang Lin , Ye Yixin , Wang Yuan , Chen Shuang , Su Dongsheng , Su Xiaolan , Cheng Lin , Shi Gang , Dai Lei , Deng Hongxin 
Published: January 2021

Abstract
Background: Liver fibrosis (LF) is a common pathological process characterized by the activation of hepatic stellate cells (HSCs) and accumulation of extracellular matrix. Severe LF causes cirrhosis and even liver failure, a major cause of morbidity and mortality worldwide. Transplantation of human placental mesenchymal stem cells (hPMSCs) has been considered as an alternative therapy, replacing liver transplantation in clinical trials, to treat LF. However, the underlying mechanisms and the appropriate time window for hPMSC transplantation are not well understood. Methods: We established mouse models of CCL4-injured LF, and administered hPMSCs once a week for 2 weeks. The therapeutic effect of hPMSCs on LF was investigated, according to histopathological and blood biochemical analyses. What’s more, the culture supernatant of hPMSCs were isolated, and the effect of the culture supernatant on the inhibition of activated HSCs was also assessed. RNA sequencing (RNA-seq) analysis, Real-time PCR array, and western blotting were performed to explore possible signaling pathways involved in treatment of IF with hPMSCs. Results: hPMSC treatment can alleviate experimental hepatic fibrosis, restore liver function, and inhibit inflammation. Furthermore, the therapeutic effect of hPMSCs against mild to moderate LF was significantly greater than against severe disease. Mechanistic dissection studies suggested ameliorating LF using hPMSCs occur partly by restoring Caveolin-1 (Cav1) in activated hepatic stellate cells (HSCs). Upregulation of Cav1 can inhibit the TGF-β/Smad signaling pathway, mainly by reducing Smad2 phosphorylation, resulting in the inhibition of activated HSCs, whereas this effect could be abated if Cav1 was silenced in advance by siRNAs. Conclusions: Our findings suggest that hPMSCs could provide multifaceted therapeutic benefits for the treatment of LF, and the TGF-β/Cav1 pathway might act as a therapeutic target for hPMSCs in the treatment of LF.
Heat Shock Preconditioning Mesenchymal Stem Cells Attenuate Acute Lung Injury via Reducing NLRP3 Inflammasome Activation in Macrophages
Authors: Lv Haijin , Yuan Xiaofeng , Zhang Jiebin , Lu Tongyu , Yao Jia , Zheng Jun , Cai Jianye , Xiao Jiaqi , Chen Haitian , Xie Shujuan , Ruan Ying , An Yuling , Sui Xin , Yi Huimin 
Published: January 2021

Abstract
Objectives: Acute lung injury (ALI) remains one of the common causes of morbidity and mortality worldwide, so far, without any effective therapeutic approach. Previous researches have revealed that topical administration of umbilical cord-derived mesenchymal stem cells (UC-MSCs) can attenuate pathological changes in experimental acute lung injury. Heat shock (HS) pretreatment has been identified as a method to enhance survival and function of cells. The present study aimed to assess whether HS-pretreated mesenchymal stem cells (MSCs) could strengthen the immunomodulation and recovery from ALI. Materials and Methods: HS pretreatment was defined 42℃ for 1h, the changes of biological characteristics and the secreted functions were detected. In the mouse model of ALI, we intranasally dripped the pretreated UC-MSCs in vivo, confirmed their therapeutic effects and detected the phenotypes of macrophages in bronchoalveolar lavage fluid (BALF). To elucidate their mechanisms, we co-cultured the pretreated UC-MSCs with macrophages in vitro, and the expression levels of inflammasome-related proteins in macrophages were assessed. Finally, Apoptozole was used for further determine the role of HSP70 in HS-pretreated UC-MSCs-based therapy. Results: The data showed that UC-MSCs did not represented significant changes in viability and biological characterizations after received HS pretreatment. Administration of HS-pretreated UC-MSCs into the ALI model, improved pathological changes and lung damage-related indexes, reduced of the levels of pro-inflammatory cytokines and modulated the balance of M1/M2. Mechanistically, both in vivo and in vitro studies demonstrated that HS pretreatment enhanced the protein level of HSP70 in UC-MSCs and subsequently upregulated the synthesis and secretion of PGE2, which negatively modulated the NLRP3 inflammasome activation of alveolar macrophages. And these effects was partially reversed by Apoptozole. Conclusion: HS pretreatment can strengthen the beneficial effects of UC-MSCs on inhibiting NLRP3 inflammasome activation of macrophages in ALI. The mechanism may be contributed to the upregulated expression of HSP70 to further induce PGE2 synthesis and secretion.
Analysis of 23 Pediatric Patients with SARS-CoV-2 Infection in Anhui Province, China
Authors: Fang Lulu , Wang Wang , Huo Shaohu , Liu Jun , Han Ming feng , Wei Ming , Gao Hui , Ding Sheng-Gang 
Published: January 2021

Abstract
Background: The global spread of coronavirus disease 2019 (COVID-19) continues to threaten all human health worldwide. Although the symptoms, signs, responses, and outcomes associated with the disease varies for individuals, few studies have reported on pediatric patients with COVID-19.Methods: This study retrospectively reviewed the medical records from three tertiary hospitals in Anhui province, China, of 23 children with COVID-19. Here, epidemiologic characteristics, clinical features, laboratory test results, and treatment strategies for these pediatric patients are reported and analyzed.Results: In total, 23 children with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection were analyzed. All patients were given a nucleic acid detection test for SARS-CoV-2, and positive results confirmed the diagnosis of COVID-19. Ten patients (43.5%) were female, and 19 patients (82.6%) had defined exposure history and familial clustering. The youngest patient was 16 months of age, the oldest, 17 years. The clinical symptoms of all included pediatric patients with SARS-CoV-2 infection were mild, with cough (12, 52.2%) and fever (10, 43.5%) being the most frequent, making their symptoms indistinguishable from common respiratory infections. There was no difference in clinical manifestation between males and females (P > 0.05). Eight patients (34.8%) showed changes on chest computed tomography imaging. The median level of each laboratory test parameter was within the normal reference range. Treatments primarily included antiviral therapies, traditional Chinese medicine therapies, and symptomatic supportive treatment.Conclusions: The symptoms of all 23 pediatric patients with SARS-CoV-2 infection included in this study were mild. Because the primary presenting symptoms were indistinguishable from common respiratory infections and because most patients had an exposure history and familial clustering, we recommend supporting the diagnosis of mild or atypical COVID-19 in children with detailed epidemiologic information and chest computed tomography imaging as well as with nucleic acid detection tests. Obtaining a correct diagnosis in the early stage of the disease will contribute to controlling the spread of SARS-CoV-2 infection and to providing more immediate relevant treatment for infected children.
Genome Mining for Antimicrobial Compounds in Wild Marine Animals-associated Enterococci
Authors: Prichula Janira , Primon-Barros Muriel , Luz Romeu , Castro Ícaro , Paim Thiago , Tavares Maurício , Ligabue-Braun Rodrigo , d’Azevedo Pedro , Frazzon Jeverson , Frazzon Ana , Seixas Adriana , Gilmore Michael 
Published: January 2021

Abstract

New ecosystems are being actively mined for new bioactive compounds. Because of the large amount of unexplored biodiversity, bacteria from marine environments are especially promising. Further, host-associated microbes are of special interest because of their low toxicity and compatibility with host health. Here we identified and characterized biosynthetic gene clusters encoding antimicrobial compounds in host-associated enterococcal recovered from fecal samples of wild marine animals remote from human-affected ecosystems. Putative biosynthetic gene clusters in the genomes of 22 Enterococcus strains of marine origin were predicted using antiSMASH5 and Bagel4 bioinformatic software. At least one gene cluster encoding a putative bioactive compound precursor was identified in each genome. Collectively, 73 putative antimicrobial compounds were identified, including 61 bacteriocins (83.56 %), 10 terpenes (13.70 %), and two (2.74 %) related to putative nonribosomal peptides (NRPs). Two of the species studied, Enterococcus avium and Enterococcus mundtti, are rare causes of human disease and were found to lack any known pathogenic determinants but yet possessed bacteriocin biosynthetic genes, suggesting possible additional utility as probiotics. Wild marine animal-associated enterococci from human-remote ecosystems provide a potentially rich source for new antimicrobial compounds of therapeutic and industrial value, and potential probiotic application.
Ontology Generation for Flight Safety Messages in Air Traffic Management(ATM)
Authors: Aghdam1 mahdi Yousefzadeh , Kamel Seyed Reza , Chabok Seyed Javad Mahdavi , khairabadi maryam 
Published: January 2021

Abstract
The analysis of various data is a challenging issue in the field of air traffic flow management (ATFM). Managing a large volume of data and their correct interpretation plays a key role in the prevention of air accidents, human errors, and flight interactions. In general, pilots and flight navigators deal with massive information, including flight safety messages, meteorological messages, aviation NOTAMs, aviation company information messages, and airplane system alerts. Air collisions are possible due to the high volume and variety of such information considering the human errors in their interpretation and application. Therefore, attempts should be made to develop systematic information and establish logical communication between large data volumes in order to increase the reliability factor in flights. Recently, the semantic web has been recognized as a novel foundation of knowledge management that relies on ontology (concept modeling language) and effective techniques for the modeling of integrated information systems and eliminating barriers to the interpretation and exchange of data. The present study aimed to propose an efficient infrastructure for ATMs by defining the concepts, rules, and relationships between the concepts related to the scope of flight information. To this end, we designed and implemented the ontology of flight safety messages, which included an important part of flight operation information. In this research, the IPS-based aviation networks and methontology methodology were exploited for the engineering of the ontology of flight messages. In addition, the implementation process was carried out using the Protégé software. The analysis of the system was performed using the actual data of Mashhad Airport, Iran. The obtained data were based on the inbound and outbound flights of the airport, which were collected using the radar system and FDS and normalized. Finally, the implementation of the ontology of flight messages was demonstrated after a case study of several flight examples. The developed ontology could be incorporated into the foundation of an ATN aviation network as an application.
Exogenous biological renal support improves kidney function in rhabdomyolysis-induced acute kidney injury in mice
Authors: Liu Chao , Chi Kun , Geng Xiaodong , Hong Quan , Mao Zhi , Huang Qi , liu Dong , Wang Yiqin , Zhang Yin , Zhou Feihu , Cai Guangyan , Chen Xiangmei , Sun Xuefeng 
Published: January 2021

Abstract
BackgroundRhabdomyolysis (RM) is a clinical syndrome characterised by the breakdown of skeletal muscle fibres and release of their contents into the circulation. Myoglobin-induced acute kidney injury (AKI) is one of the most severe complications of RM. Based on our previous study, exogenous biological renal support alleviates renal ischaemia-reperfusion injury (IRI) in elderly mice. This study aimed to determine whether exogenous biological renal support promoted renal recovery from RM-induced AKI and to preliminarily explore the mechanisms involved.MethodsA parabiosis animal model was established to investigate effects of exogenous biological renal support on RM-induced AKI. Male wild-type C57BL/6 mice and C57BL/6-TgN (ACTb-EGFP) transgenic mice were used to determine whether shared circulation was established among parabiotic pairs 3 weeks after parabiosis surgery. Mice were divided into three groups: the control group (sterile saline injected); RM group (glycerol (8 mL/kg) injected); and parabiosis + RM group (three weeks after the parabiosis model was established, the recipient mouse was injected with glycerol). Blood samples and kidney tissue were collected for further processing 48 hours after RM induction. Bioinformatics analysis was conducted with Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, functional enrichment analysis and clustering analysis.ResultsAt 48 hours after the procedure, all mice survived. Exogenous biological renal support attenuated the histological and functional deterioration in RM-induced AKI in mice. Bioinformatics analysis identified key pathways and proteins involved in this process. We further demonstrated that exogenous biological renal support ameliorated kidney injury through multiple pathways, including suppressing the complement system; attenuating oxidative stress, inflammation, and apoptosis; and increasing proliferation.ConclusionsExogenous biological renal support provided by parabiosis can improve renal function in RM-induced AKI by suppressing the complement system; decreasing oxidative stress, inflammation, and apoptosis; and promoting tubular cell proliferation. Our study provides new ideas for effectively preventing and treating RM-induced AKI and provides basic research evidence for the use of bioartificial kidneys to treat RM-induced AKI.
The use of mobile phones for the prevention and control of arboviral diseases: a scoping review
Authors: Carrillo Maria Angelica , Kroeger Axel , Sanchez Rocio Cardenas , Monsalve Sonia Diaz , Ranzinger Silvia Runge 
Published: January 2021

Abstract
Background: The rapid expansion of dengue, Zika and chikungunya with large scale outbreaks are an increasing public health concern in many countries. Additionally, the recent coronavirus pandemic urged the need to get connected for fast information transfer and exchange. As response, health programmes have -among other interventions- incorporated digital tools such as mobile phones for supporting the control and prevention of infectious diseases. However, little is known about the benefits of mobile phone technology in terms of input, process and outcome dimensions. The purpose of this scoping review is to analyse the evidence of the use of mobile phones as an intervention tool regarding the performance, acceptance, usability, feasibility, cost and effectiveness in dengue, Zika and chikungunya control programmes. Methods: We conducted a scoping review of studies and reports by systematically searching: i) electronic databases (PubMed, PLOS ONE, PLOS Neglected Tropical Disease, LILACS, WHOLIS, ScienceDirect and Google scholar), ii) grey literature, using Google web and iii) documents in the list of references of the selected papers. Selected studies were categorized using a pre-determined data extraction form. Finally, a narrative summary of the evidence related to general characteristics of available mobile health tools and outcomes was produced. Results: The systematic literature search identified 1289 records, 32 of which met the inclusion criteria and 4 records from the reference lists. A total of 36 studies were included coming from twenty different countries. Five mobile phone services were identified in this review: mobile applications (n = 18), short message services (n=7), camera phone (n = 6), mobile phone tracking data (n = 4), and simple mobile communication (n = 1). Mobile phones were used for surveillance, prevention, diagnosis, and communication demonstrating good performance, acceptance and usability by users, as well as feasibility of mobile phone under real life conditions and effectiveness in terms of contributing to a reduction of vectors/ disease and improving users-oriented behaviour changes. It can be concluded that there are benefits for using mobile phones in the fight against arboviral diseases as well as other epidemic diseases. Further studies particularly on acceptance, cost and effectiveness at scale are recommended.
Maize-IAS: A Maize Image Analysis Software using Deep Learning for High-throughput Plant Phenotyping
Authors: Zhou Shuo , Chai Xiujuan , Yang Zixuan , Wang Hongwu , Yang Chenxue , Sun Tan 
Published: January 2021

Abstract
Background : Maize (Zea mays L.) is one of the most important food sources in the world and has been one of the main targets of plant genetics and phenotypic research for centuries. Observation and analysis of various morphological phenotypic traits during maize growth are essential for genetic and breeding study. The generally huge number of samples produce an enormous amount of high-resolution image data. While high throughput plant phenotyping platforms are increasingly used in maize breeding trials, there is a reasonable need for software tools that can automatically identify visual phenotypic features of maize plants and implement batch processing on image datasets. Results : On the boundary between computer vision and plant science, we utilize advanced deep learning methods based on convolutional neural networks to empower the workflow of maize phenotyping analysis. This paper presents Maize-PAS ( Maize Phenotyping Analysis Software), an integrated application supporting one-click analysis of maize phenotype, embedding multiple functions: I. Projection, II. Color Analysis, III. Internode length, IV. Height, V. Stem Diameter and VI. Leaves Counting. Taking the RGB image of maize as input, the software provides a user-friendly graphical interaction interface and rapid calculation of multiple important phenotypic characteristics, including leaf sheath points detection and leaves segmentation. In function Leaves Counting, the mean and standard deviation of difference between prediction and ground truth are 1.60 and 1.625. Conclusion : The Maize-PAS is easy-to-use and demands neither professional knowledge of computer vision nor deep learning. All functions for batch processing are incorporated, enabling automated and labor-reduced tasks of recording, measurement and quantitative analysis of maize growth traits on a large dataset. We prove the efficiency and potential capability of our techniques and software to image-based plant research, which also demonstrates the feasibility and capability of AI technology implemented in agriculture and plant science. Keywords : Maize phenotyping; Instance segmentation; Computer vision; Deep learning; Convolutional neural network