bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence, Awareness, Treatment, and Control of Hypertension in Northern China: a Cross-Sectional Study
Authors: Xi Yunfeng , Xu Xiaoqian , Tian Zixuan , Qiao Liying , Bao Han , Zhu Hao , Zhu Lige , Niu Liwei , Yan Tao , Han Ke , Hang Gai , Wang Wenrui , Zhang Xingguang 
Published: July 2020

Abstract
Aims

Hypertension has always been a worldwide health concern. The purpose of this study was to investigate the prevalence, awareness, treatment, and control rates of hypertension among adult residents of northern China, where people usually have a high-fat, high-salt diet and heavy alcohol consumption.
Methods

Through the Early Screening and Comprehensive Intervention Project for High Risk Groups of Cardiovascular Diseases in the Inner Mongolia Autonomous Region of northern China, we collected data of 70,380 residents and assessed the prevalence, awareness, treatment, and control of hypertension in the total population and subpopulations.
Results

Among participants, only 13.9% (11.7% of men and 15.4% of women) had optimal BP levels. 55.7% (95% confidence interval (CI): 55.3–56.1%) of the participants had hypertension. A total 52.8% (52.3–53.3%) of patients with hypertension were aware of their diagnosis and 43.3% (42.8–43.8%) were taking antihypertensive medications. Only 8.6% (8.3–8.9%) of patients with hypertension had their BP under control, and 19.8% (19.2–20.4%) of those who were treated had their BP under control. The standardized rates of hypertension prevalence, awareness, treatment, control, and control under treatment were 49.4% (49.0–49.8%), 45.4% (44.9–45.9%), 35.7% (35.2%–36.2), 7.3% (7.0–7.6%), and 20.8% (20.2–21.4%), respectively.
Conclusion

Hypertension is highly prevalent in northern China, with inadequate awareness, treatment, and control of hypertension. Even if patients with hypertension are under treatment, hypertension can remain inadequately controlled.
What's the relation between paranasal sinusitis (based on PNS-CT scan) and Kawasaki disease:&nbsp;A comparative study in children in Tehran, Iran
Authors: noorbakhsh SAMILEH , Movahedi Zahra , Ashouri Sarvenaz 
Published: July 2020

Abstract
Background

Kawasaki Disease (KD) and rhino sinusitis are common in young Iranian population. Paranasal sinusitis can cause immunologic reactions and progress to KD. We compared the incidence of rhino sinusitis based on para nasal sinus- computed tomography scans (PNS-CT Scan), in KD cases with control group (head trauma)
Methods

A prospective, case control study (2013-18)had done in Rasul Akram Hospital in Tehran, Iran.PNS- CT scan finding compared between 43 proven KD and 43 controls (head trauma). The PNS-CTscan changes compared between 2 groups respect to their ages, gender, site and type of sinusitis.
Results

PNS-CT scan had been performed in 23 cases with proved KD and 43 non KD cases( control) with mean age of 6.48 ± 4.15 years in KD cases without significant difference to controls (p = 0.14.). No significant difference had seen in gender between two groups. (p = 0.14).The paranasal sinusitis had higher prevalence in KD cases in compare with controls: 41.86% (18 / 43) vs 20.9% (9 / 43) respectively (P = 0.036). The mean age of children with sinusitis had not difference between groups (7.44 ± 0.89 vs. 7.88 + 2.44, p = 0.176). Presence of sinusitis in cases and controls were not related to age, sex and site of sinusitis (p = 0.71; 0.80; 0.63 respectively).
Conclusion

The result of this investigation shows the high prevalence of paranasal sinusitis in KD which suggest the sinusitis as an important factor for developing the KD. Although, the presence of sinus pathology on a PNS- CT scan does not establish the causality between sinusitis and KD, but due to high prevalence of paranasal sinusitis in our pediatric population, we recommend PNS CT-scan for KD cases with prolonged URI ( Upper Respiratory Tract Infection) symptoms more than 2 weeks. In KD cases with confirmed paranasal sinusitis, antibiotic treatment is recommend to prevent relapses and complications of the KD treatment.
An in-silico study of cartilage tissue engineering and its primary developmental growth factors in a systems biology approach
Authors: Beheshtizadeh Nima 
Published: July 2020

Abstract
Background

Numerous growth factors work in consonance to regulate the development and homeostasis of engineered cartilage. In order to fabricate mature cartilages provided to implantation, developing biological processes should be known and employed. In this regard, a systems biology study could be considered as an inexpensive evaluation method. In this work, a systems biology study was performed on 11 protein-coding genes participating in cartilage development.
Results

Developing a protein-protein interaction (PPI) network resulted in a graph with 11 nodes and 28 edges. Additionally, a gene ontology (GO) analysis and a centrality analysis were performed based on the degree index. Four most crucial biological processes involved in cartilage engineering identified by the gene ontology analysis: cartilage development, cartilage condensation, regulation of cartilage development, and cartilage development involved in endochondral bone morphogenesis. Also, seven most interactive proteins were detected performing a degree-based centrality analysis: COL2A1, SOX9, CTGF, BMP7, TGFB1, CD44, and MAPK14.
Conclusion

Cartilage developmental proteins are efficient in forming and developing extracellular matrix and cartilage development, from its formation to the mature structure. However, this in-silico study recommends four most important developmental growth factors applicable to cartilage tissue engineering: COL2A1, SOX9, CTGF, and TGFB1.
Oncologic and obstetric outcomes of fertility-sparing surgery for borderline ovarian tumors in women of reproductive age: a retrospective cohort study
Authors: Sun Rui , Luo Chengyan , Jiang Yi , Zhou Shulin , Wan Yicong , Cheng Wenjun 
Published: July 2020

Abstract
Objective

To retrospectively evaluate the oncologic and obstetric outcomes of fertility-sparing surgery (FSS) for borderline ovarian tumors(BOT).
Methods

132 patients with borderline ovarian tumors were divided into the incompletely staging surgery (ISS) group and the completely staging surgery (CSS) group. The overall survival and disease-free survival curves were determined using the Kaplan–Meier method. The Cox proportional hazards method was used to assess the association between the variables and live birth and multivariate analysis to identify the independent associations.
Results

Chi-square and Kaplan-Meier analyses showed no significant differences in overall survival between the two groups (p = 1.000 and p = 0.716, respectively). The CSS group had fewer relapses and longer disease-free survival than ISS (p = 0.003). There was no statistical difference in live birth rate between two groups (crude odds ratio = 0.885, 95%CI 0.411–1.903, p = 0.755; adjusted odds ratio = 0.848, 95%CI 0.366–1.963, p = 0.700). Age was the only independent risk factor for live birth (adjusted odds ratio = 0.902, 95%CI 0.823–0.988, p = 0.027). Mean live birth intervals after FSS was 31.86 ± 19.325 months.
Conclusions

CSS significantly increased the disease-free survival time of BOT and reduced the relapse risk. However, CSS had a slightly negative and statistically insignificant association with live birth.
Analysis of ACE2 Genetic Variants by Direct Exome Sequencing in 99 SARS-CoV-2 Positive Patients
Authors: Novelli Antonio , Biancolella Michela , Borgiani Paola , Cocciadiferro Dario , Colona Vito Luigi , D’Apice Maria Rosaria , Rogliani Paola , Zaffina Salvatore , Leonardis Francesca , Campana Andrea , Raponi Massimiliano , Andreoni Massimo , Grelli Sandro , Novelli Giuseppe 
Published: July 2020

Abstract
BackgroundCoronaviruses (CoV) are a large family of viruses that are common in humans and many animal species. Animal coronaviruses rarely infect humans with the exceptions of the Middle East Respiratory Syndrome (MERS-CoV), the Severe acute respiratory syndrome coronavirus (SARS-CoV), and now SARS-CoV-2, which is the cause of the ongoing pandemic of coronavirus disease 2019 (COVID-19). Many studies have suggested that genetic variants in the ACE2​gene may influence the host susceptibility or resistance to SARS-CoV-2 virus according to the functional role of ACE2 in human pathophysiology. However, many of these studies have been conducted in silico based on epidemiological and population data. We, therefore, investigated the occurrence of ACE2 variants in a cohort of 99 Italian unrelated individuals clinically diagnosed with coronavirus disease 19 (COVID-19) to demonstrate a possible allelic association with COVID-19 by direct DNA analysis in a cohort of positive patients.MethodsWe analyzed, by whole-exome sequencing, 99 DNA samples of severe and extremely severe COVID-19 patients hospitalized at the University Hospital of Rome “Tor Vergata” and Bambino Gesù Children’s Hospital, Rome.ResultsWe identified three different germline variants: one intronic c.439+4G>A and two missense c.1888G>C p.(Asp630His) and c.2158A>G p.(Asn720Asp), in a total of 26 patients with a similar frequency in male and female. Thus far, only c.1888G>C p.(Asp630His) shows a statistically different frequency compared to the ethnically matched populations, suggesting that further research is needed to establish whether this variant is of functional significance.ConclusionsOur results suggest that there is no evidence of consistent ACE2 variants associated to the COVID-19. We hypothesize that rare susceptibility/resistant alleles could be located in the non-coding regions of the ACE2 gene, known to play a role in regulation of the gene activity.
Acute portal vein thrombosis secondary to COVID-19: a case report
Authors: Borazjani Roham , Seraj Seyed Reza , Fallahi Mohammad javad , Rahmanian Zhila 
Published: July 2020

Abstract
Introduction: COVID-19 pneumonia exhibits several extra-pulmonary complications.Case presentation: We described a 23-year old male with coronavirus pneumonia and portal vein thrombosis.Conclusion: Clinicians should always consider thrombosis and other hypercoagulable diseases in patients with COVID-19.
Knock Down of LINC00504 Represses Proliferation and Invasion via Regulation of miR-140-5p in Breast Cancer
Authors: Hou Tieying , Ye Long , Qin Qingsong , Wu Shulin 
Published: July 2020

Abstract
Background: Breast cancer is one of the most common cancer in the world. Emerging evidence has demonstrated the critical role of long noncoding RNAs (lncRNAs) in the development of breast cancer. In this study, we aimed to investigate the role of LINC00504 in breast cancer progression. Methods: Quantification real-time PCR was used to analyzed the expression levels of LINC00504 and miR‐140-5p in breast cancer tissues and cell lines. Cell proliferation, migration and invasion were assessed by Cell Counting Kit‐8, transwell assay and Immunofluorescence. Dual-luciferase reporter assay and RNA Immunoprecipitation assay were performed to verify the interaction between LINC00504 and miR‐140-5p. The expression levels of VEGFA, CDH1 and VIM were demonstrated by western blot assays. Result: Here, we found that LINC00504 is up regulated in breast cancer tissues and cell lines. Down regulation of LINC00504 mediated by shRNA suppressed the proliferation, migration, and invasion of breast cancer cells in vitro and in vivo. Furthermore, LINC00504 was found to competitively regulate miR‐140-5p via targeting VEGFA. Inhibition of miR‐140-5p attenuated the knockdown-LINC00504 induced inhibition of breast cancer cell proliferation and invasion.Conclusion: Taken together, our results demonstrated the mechanism of the LINC00504–miR‐140-5p–VEGFA axis in breast cancer cell proliferation and invasion and may lead to new lncRNA-based diagnostics or therapeutics for breast cancer.
Analysis of Breast Cancer Cases According to County-Level Poverty Status in 3.5 Million Rural Women Who Participated in a Breast Cancer Screening Program of Hunan Province, China from 2016–2018
Authors: Lili Xiong , Zhiyu Liu , Yinglan Wu , Aihua Wang , Hongyun Li , Ting Liang , Yingxia Wang , Guanghui Yang , Xianghua Chen , Junqun Fang , Donghua Xie , Fanjuan Kong 
Published: July 2020

Abstract
Purpose Thus far there has been no study on the breast cancer screening program in China, especially one exploring differences between poor and non-poor areas. Therefore, we aimed to assessment the effectiveness of the population-based breast cancer screening programs, and clinical epidemiological characteristics of breast cancers in poor and non-poor counties in rural areas of Hunan province from 2016–2018.Methods 3,151,679 rural women took part in the screening program and 1,169 breast cancer cases was identified. Chi-square and Fisher’s exact tests, and binary logistic regression analysis were used for analyzing the difference in risk factors, clinical examination results, and clinicopathological features of breast cancer patients in poor counties compared with those in non-poor counties in rural areas of Hunan province. Results The breast cancer incidence was 37.09/105. Breast cancer incidence was lower in poor counties (29.68/105) than in non-poor counties (43.13/105). There were differences between breast cancers in poor counties and non-poor counties in cyst, margin, internal echo, and blood flow in solid masses in the right breast in ultrasonic examination, lump structure in mammography examination, and clinicopathological staging and grading in pathological examination. Breast cancer in poor counties was more likely to be diagnosed at later stages as determined from the classification in ultrasonic, mammography and pathological examination. Furthermore, indexes of the breast screening program including early detection, incidence, pathological examination, and mammography examination were reduced in poor compared with non-poor counties. Binary logistic regression analysis showed that education, ethnicity, reproductive history and the year 2017 were associated with an increased risk of breast cancer in poor counties (OR >1, P < 0.05). Conclusions Women in poor areas were more likely to be diagnosed at a later breast cancer stage than those in non-poor areas, and therefore, women should have better access to diagnostic and clinical services in poor areas in Hunan province to help rectify this situation.
Correlation of Anxiety and Uterine Artery Doppler Flow in Pregnant Women with High Risk of Down syndrome: A Prospective Cohort Study
Authors: Shirazi Mahboobeh , Torkzaban Mehnoosh , ghaemi Marjan , Moshfeghi Maryam , Shirazi Mahmoud , Emadzadeh Maryam , Ahmadi Lida , Mirzaeian Sara 
Published: July 2020

Abstract
The authors have requested that this preprint be removed from Research Square.
Metabolomic Analysis of Serum and Placenta in Preeclampsia
Authors: Dong Ying , Liu Xiaowei , Zhao Shenglong , Zheng Yuanyuan , Li Chunbo , Si Dandan , Chen Jinmei , Wang Jing , Chen Lu , Hu Siqi , Liu Jingrui , Tang Guodong , Lu Yifan , Yue Xiaofei , Zhao Zhen , Zhai Yanhong , Cao Zheng 
Published: July 2020

Abstract
Background: Preeclampsia (PE) is one of the main causes of maternal and fetal morbidity and mortality worldwide. This study was aimed to explore the potential metabolic alterations in women diagnosed with PE and reveal the underlying pathogenesis of disease. Methods; Healthy pregnant women and patients diagnosed with PE were recruited from August 2017 to February 2018. The metabolomic analysis of serum (n=90) and placenta (n=9) samples collected from the two groups were performed with the high performance liquid chromatography coupled with quadrupole-time-of light mass spectrometry (HPLC-QTOF-MS). Results: In serum, 16 metabolites that were present in different concentrations between the two groups were identified, of which pyroglutamic acid (pGlu), methionine, glutamine and taurocholic acid may be used as potential PE diagnosis biomarkers with the area under ROC curve of 0.901, 0.909, 0.892 and 0.873 respectively. Furthermore, the metabolic pathways analysis with differential metabolites in serum and placenta samples showed that linoleic acid and alpha- linolenic acid metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, D-glutamine/D-glutamate metabolism, phenylalanine metabolism, glutathione metabolism and tryptophan metabolism were significantly altered and might be involved in PE pathogenesis. Conclusions: These results showed the altered metabolic pathways could contribute to the pathophysiologic mechanisms of PE.
Experimental and Numerical Investigation of Station Keeping Control for Ultra-Silent Autonomous Underwater Vehicle
Authors: Zeng Yuhao , Zheng Huan , Yu Zu-Yao 
Published: July 2020

Abstract
In this paper, we consider station keeping control law for ultra-silent autonomous underwater vehicle(ULSI-AUV) based on the sliding mode controller. The mechanical system of ULSI-AUV prototype is designed and manufactured, and the electrical system is selected and installed. The kinematic and dynamics model is established. The goal of station keeping control is to make the ULSI-AUV prototype fixed-depth and anti-rolling to carry out underwater operations. Numerical results show the effectiveness of this method. In addition, real-time experimental results also prove the effectiveness of the proposed algorithm.
Research on the Diagnosis and Treatment of the Dominant Diseases of Traditional Chinese Medicine Based on Machine Learning
Authors: Tang Yuqi , Yang Dongdong , Li Zechen , Fang Yu , Gao Shanshan 
Published: July 2020

Abstract
Background: Insomnia as one of the dominant diseases of Traditional Chinese medicine (TCM) has been extensively studied in recent years. To explore the novel approaches of research on TCM diagnosis and treatment, this paper presents a strategy for the research of insomnia based on machine learning. Methods: First of all, 654 insomnia cases have been collected from an experienced doctor of TCM as sample data. Secondly, in the light of the characteristics of TCM diagnosis and treatment, the contents of research samples have been divided into four parts: the basic information, the four diagnostic methods, the treatment based on syndrome differentiation and the main prescription. And then, these four parts have been analyzed by three analysis methods, including frequency analysis, association rules and hierarchical cluster analysis. Finally, a comprehensive study of the whole four parts was conducted by random forest. Results: Analysis of the four parts revealed some significant relationships. Simultaneously, based on the algorithm model established by the random forest, the accuracy of predicting the main prescription by the combination of the four diagnostic methods and the treatment based on syndrome differentiation was 0.85. Furthermore, the syndrome differentiation of five zang-organs was proven to be the most significant parameter after the features extraction by the random forest.Conclusions: The results indicate that the machine learning method can be adopted to study the dominant diseases of TCM to explore the crucial rules of the diagnosis and the treatment.
The effects of rasagiline on cerebral glucose metabolism, cognition, and tau in a double-blind, placebo-controlled Phase II clinical trial in Alzheimer’s dementia
Authors: Matthews Dawn C , Ritter Aaron , Thomas Ronald G , Andrews Randolph D , Lukic Ana S , Revta Carolyn , Kinney Jefferson , Tousi Babak , Leverenz James B. , Fillit Howard , Zhong Kate , Feldman Howard H , Cummings Jeffrey 
Published: July 2020

Abstract
BackgroundA Phase II proof of concept (POC) randomized clinical trial was conducted to evaluate the effects of rasagiline, a MAO-B inhibitor, in mild to moderate Alzheimer’s disease (AD). The primary objective was to determine if 1 mg of rasagiline daily for 24 weeks is associated with improved regional brain metabolism (fluoro-2-deoxyglucose positron emission tomography (FDG PET)) compared to placebo. Secondary objectives included use of flortaucipir PET to assess effects on tau pathology and determination of directional consistency of clinical endpoints.MethodsThis was a double-blind, parallel group, placebo-controlled, community-based, three-site trial of 50 participants randomized 1:1 to receive oral rasagiline or placebo (NCT02359552). FDG PET was analyzed at screening for the presence of an AD-like pattern as an inclusion criterion and as an outcome using prespecified regions of interest and image classification for longitudinal data. Participants who completed baseline and 24-week FDG PET scans and passed quality control were included in the primary analysis; secondary clinical outcomes were analyzed using an Intention-to-Treat (ITT) model.FindingsBetween May 19, 2015 and January 26, 2018, 96 participants were screened, 50 randomized, and 43 completed treatment. The study met its primary endpoint, demonstrating favorable change in FDG PET differences in rasagiline vs. placebo in middle frontal (2.5%,95%CI 0.3–4.7%,p<0.025), anterior cingulate (2.2%,0.1–4.3%,p<0.041), and striatal (2.4%,0.2–4.3%,p<0.023) regions. Tau PET cortical region secondary endpoints did not differ between study arms. Clinical secondary endpoint measures of Quality of Life (p<0.04) and Controlled Word Association Test (p<0.08) favored rasagiline. Rasagiline treatment was generally well tolerated with low rates of both serious and other adverse events and notably less neuropsychiatric symptoms reported with rasagiline. ConclusionsThese study outcomes illustrate the potential benefits of rasagiline on clinical and neuroimaging measures in mild to moderate AD patients. Rasagiline appears to affect neuronal activity in frontostriatal pathways, as observed through changes in glucose metabolism. This study illustrated the benefit of a POC design using biomarkers to characterize a diverse patient population and treatment response. Limitations include the study size and duration. Further investigation of rasagiline as a repurposed treatment in AD is warranted. Trial RegistrationClinicaltrials.gov number NCT02359552, February 10, 2015.