bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance of pirimiphos-methyl based Indoor Residual Spraying on entomological parameters of malaria transmission in the pyrethroid resistance region of Koulikoro, Mali.
Authors: KEITA Moussa , SOGOBA Nafomon , Traoré Boïssé , Kané Fousseyni , Coulibaly Boubacar , Traoré Sekou Fantamady , Doumbia Seydou 
Published: March 2020

Abstract
Background: Following mosquito vector resistance to both pyrethroid and carbamates, organophosphate (pirimiphos-methyl) was used for the Indoor Residual Spray campaigns performed in 2015 to 2016 in the district of Koulikoro. In this context, we assessed the effect of IRS on malaria transmission by comparing entomological indices in two localities: Koulikoro (LLINs+IRS), and Banamba (LLINs -only) districts. Methods: The study was conducted in two villages of each district (Koulikoro and Banamba). Pyrethrum spray catches and entry window trapping were used to collect mosquitoes on a monthly basis. WHO tube tests were carried out to assess mosquito susceptibility to insecticides. Mosquitoes were identified to species level by PCR and their infection to P. falciparum was detected by ELISA. Results: An. coluzii was the most frequent species. Its density was rainfall dependent in the no-IRS area, and almost independent in the IRS area. The infection rate (IR) in the no-IRS area was 0.96%, while it was null in the IRS area. In the no-IRS area, the entomological inoculation rates (EIR) was 0.21 infective bites /person month with a peak in September. High resistance to pyrethroids and carbamates and susceptibility to organophosphates was observed at all sites. Conclusion: The introduction of pirimiphos-methyl based IRS in the area resulted to a significant decrease in malaria transmission. An.gambiae s.l., the main malaria vector of the area, was resistant to pyrethroids and carbamates, and remained susceptible to the organophosphates.
Transcriptome analysis reveals ethylene-mediated defense responses to Fusarium oxysporum f. sp. cucumerinum infection in Cucumis sativus
Authors: Dong Jingping , Wang Yuean , Xian Qianqian , Chen Xuehao , Xu Jun 
Published: March 2020

Abstract
Background: Fusarium wilt, caused by Fusarium oxysporum f. sp. cucumerinum (Foc), is a severe disease affecting cucumber (Cucumis sativus L.) production worldwide, but mechanisms underlying Fusarium wilt resistance in cucumber remain unknown. To better understanding of the defense mechanisms elicited in response to Foc inoculation, RNA sequencing-based transcriptomic profiling of responses of the Fusarium wilt-resistant cucumber line ‘Rijiecheng’ at 0, 24, 48, 96, and 192 hours after Foc inoculation was performed.Results: We identified 4116 genes that were differentially expressed between 0 hour and other time points after inoculation. All ethylene-related and pathogenesis-related genes from the differentially expressed genes were filtered out. Real-time PCR analysis showed that ethylene-related genes were induced in response to Foc infection. Importantly, after Foc infection and exogenous application of ethephon, a donor of ethylene, the ethylene-related genes were highly expressed. In response to exogenous ethephon treatment in conjunction with Foc inoculation, the infection resistance of cucumber seedlings was enhanced and endogenous ethylene biosynthesis increased dramatically. Conclusion: Collectively, ethylene signaling pathways play a positive role in regulating the defense response of cucumber to Foc infection. The results provide insight into the cucumber Fusarium wilt defense mechanisms and provide valuable information for breeding new cucumber cultivars with enhanced Fusarium wilt tolerance.
SPP1 targeted by miR-4262 in gastric cancer functions as an enhancer of cell growth and correlates with dismal prognosis
Authors: Wang Junqing , Hao Fengjie , Yang Yuchen , Fei Xiaochun , Chen Xunhua 
Published: March 2020

Abstract
Background

Advanced gastric cancer (GC) induces diamal prognosis and high mortality. Discovery of new biomarkers or differentially expressed genes (DEGs) is serving for early diagnosis, prevention and therapautic treatmen in GC. In this study, by combining with biostatistics analysis, we aimed to verify the aberrant high expression and enhancing effects of SPP1 on GC, and to explore the probable relative post-transcriptional regulation.

Methods

Three datasets (GSE13911, GSE19826 and GSE27342) from NCBI GEO database were explored. SPP1 was screened out and detected in 105 real GC patients through immunohistochemistry analysis and RT-qPCR assay. The patients’ clinicopathologic features were collected and analyzed. The expression of SPP1 was examinated in three GC cell lines (MKN-45, AGS and SNU-16) . MKN-45 cell model with SPP1 depletd was constrcted through shRNA transfection. CCK8 assay, cell cycle detection and apoptosis rate calculation were conducted to evaluate the ability of cell growth. MiR-4262 was filtered out as a potential up-streaming regulator of SPP1 mRNA through bioinformatic prediction, and the dual-luciferase reporter assay was used for validation. Rescue experiment was introduced to confirm the post-transcriptional regulation.

Results

Thirteen DEGs increased in GC were selected, among which SPP1 was screened out for its significant over-expression in GC. SPP1 expression profile was validated in both the 105 real GC patients’ samples and three GC cell liens. High SPP1 expression was found significantly associated with the patients’ clinicopathologic features related to unideal prognosis, including tumor size, lymph node metastasis, local invasion grade and TNM stage. Depletion of SPP1 remarkably suppressed the GC cell growth. Whilst, microRNA-4262 was validated directly binding to the 3’-UTR of SPP1 mRNA in GC cells, degenerating the expression of SPP1.

Conclusions

SPP1 probably functions as an oncogenic gene in GC, and provides us a new biomarker in GC hopeful to promote GC prevention, diagnose and therapeutic treatment.
Clinical-radiological dissociation in a patient with nitrous oxide-induced subacute combined degeneration: A case report
Authors: Jiang Jiwei , Shang Xiuli 
Published: March 2020

Abstract
Background: Several recent studies have reported subacute combined degeneration (SCD) induced by nitrous oxide (N2O) abuse. However, the association between the evolution of dynamic neuroimaging and clinical manifestations has not been reported in patients with N2O-induced SCD. Case presentation: We described the case of a 24-year-old man who developed SCD with inverted V-sign hyperintensities over the posterior aspect of the spinal cord caused by frequent, excessive N2O inhalation. One month after treatment, his weakness and paresthesia resolved and serum vitamin B12 levels exceeded the normal levels. However, the hyperintensities had extended horizontally and longitudinally on T2-weighted magnetic resonance imaging (MRI), compared to those on the initial scan. Two months after treatment, the patient experienced some residual numbness in the distal limbs, and his serum homocysteine levels were normal, but the abnormal signals seen on cervical T2-weighted MRI had decreased only slightly compared to those seen on the one-month follow-up MRI. The evolution of conventional MRI findings lagged compared to the clinical manifestation, which was suggestive of a clinical-radiological dissociation. Conclusions: Clinical-radiological dissociation might have occurred in this case because T2-weighted imaging was not sensitive enough to reveal cytotoxic edema. Moreover, the serum vitamin B12 level is not a good indicator of cellular vitamin B12. Thus, clinicians should recognize this phenomenon, comprehensively assess the condition of patients with N2O-induced SCD, and avoid terminating treatment based on the resolution of clinical symptoms and serological results.
The association of family structure with health behavior, mental health, and perceived academic achievement among adolescents: A 2018 Korean Nationally Representative Survey
Authors: Park Hanul , Lee Kang-Sook 
Published: March 2020

Abstract
Background: Adolescence is a period during which physical, social, and mental abilities are rapidly developed, and during this time the family environment plays an important role. Differences in health behaviors, mental health, and academic achievement by family structure may affect future families, income, and employment. The purpose of the study was to investigate the association of family structure with health behaviors, mental health, and academic achievement in Korean adolescents.Method: Data from the 2018 Korean Youth Risk Behavior Web-based Survey were analyzed. The study sample was comprised of 59,096 adolescents. Logistic regression, t-tests, and a variance analysis of a complex sample general linear model were used to examine the association of family structure with health behaviors, mental health, and academic achievement. The significance level was set at P < 0.05.Results: Non-intact families (single-mother families, single-father families, and restructured families) had significantly higher odds ratios of health behaviors such as smoking, drinking, Internet use, physical activity, and sexual experience, and mental health issues such as depression, suicidal ideation, perceived stress, and poor perceived health status than intact families (two-parent families). Also, non-intact families were significantly related to low perceived academic achievement compared to intact ones.Conclusion: This study showed that family structure is a significant factor in adolescent health behavior, mental health, and perceived academic achievement. Adolescents who experience a transition in their family structure may be more vulnerable to health risks and exhibit lower academic achievement than those in an intact family.
Establishment of a clinical nomogram model to predict the progress to severe COVID-19
Authors: Tu Changli , Wang Guojie , Tan Cuiyan , Chen Meizhu , Peng Hu , Wang Ying , Liang Yingjian , Huang Yiying , Wang Zhenguo , Wu Jian , Wang Kongqiu , Huang Qinhuan , Huang Jin , Zheng Xiaobin , Chen Qiuyue , Geng Yayuan , Guo Na , Zhou Xiaorong , Liu Xinran , Liu Jing , Shan Hong 
Published: March 2020

Abstract
Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is the leading cause of a public health emergency in the world, accompanying with high mortality in severe corona virus disease 2019(COVID-19 ), thereby early detection and stopping the progress to severe COVID-19 is important. Our aim is to establish a clinical nomogram model to calculate and predict the progress to severe COVID-19 timely and efficiently.Methods: In this study, 65 patients with COVID-19 had been included retrospectively in the Fifth Affiliated Hospital of Sun Yat-sen University from January 17, to February 11, 2020. Patients were randomly assigned to train dataset (n=51 with 15 progressing to severe COVID-19) and test dataset (n=14 with 4 progressing to severe COVID-19). Lasso algorithm was applied to filter the most classification relevant clinical factors. Based on selected factors, logistic regression model was fit to predict the severe from mild/common. Meanwhile in nomogram sensitivity, specificity, AUC (Area under Curve), and calibration curve were depicted and calculated by R language, to evaluate the prediction performance to severe COVID-19.Results:High ratio of sever COVID-19 patients (26.5%) had been found in our retrospective study, and 84% of these cases progress to severe or critical after 5 days from their first clinical examination. In these 65 patients with COVID-19, 77 clinical characteristics in first examination were collected and analyzed, and 37 ones had been found different between non-severe and severe COVID-19. But when all these factors were analyzed in establishment of prediction model, six factors are crucial for predicting progress of severe COVID-19 via Lasso algorithm. Based on these six factors, including increased fibrinogen, hyponatremia, decreased PaO2,multiple lung lobes involved, down-regulated CD3（+）T-lymphocyte and fever, a logistic regression model was fit to discriminate severe and common COVID-19 patients. The sensitivity, specificity and AUC were 0.93, 0.86, 0.96 in the train dataset and 0.9, 1.0, 1.0 in test dataset respectively. Nomogram-predicted probability was more consistent with actual probability by R language.Conclusions:In summary, an efficient and reliable clinical nomogram model had been established, which indicate increased fibrinogen, hyponatremia, decreased PaO2, multiple lung lobes involved, down-regulated CD3（+）T-lymphocyte and fever at the first clinical examination, could predict progress of patients to severe COVID-19.
The effect of conservative oxygen therapy in reducing mortality in critical care patients: A systematic review and meta analysis
Authors: Ni Yue-Nan , Wang Yan-mei , Liang Binmiao , Liang Zong-An 
Published: March 2020

Abstract
Background Conservative oxygen therapy can avoid both the hypoxemia and hyperoxemia, but the effect of it on the prognosis of patients admitted to intensive care unit （ICU） remains controversial.Methods The Pubmed, Embase, Medline, Cochrane Central Register of Controlled Trials (CENTRAL) as well as the Information Sciences Institute (ISI) Web of Science were searched for all the controlled studies comparing conservative oxygen therapy and conventional oxygen therapy in adult patients admitted to ICU. The primary outcome was the mortality and the secondary outcomes were length of ICU stay (ICU LOS), length of hospital stay(hospital LOS), length of mechanical ventilation(MV) hours, new organ failure during ICU stay, new infection during ICU stay,.Results Six trials with a total of 2250 patients were pooled in our final studies. No statistical heterogeneity was found in all the analysis. Compared with conventional oxygen therapy, conservative oxygen therapy could not reduce overall mortality (Z=0.96, P=0.34), ICU LOS(Z=0.29, P=0.77)，hospital LOS(Z=1.98, P=0.05) and new infection during ICU stay (Z=0.94, P=0.35). However，conservative oxygen therapy was associated with lower MV time(Z=5.03, P<0.001) and new organ failure during ICU stay(Z=2.05, P=0.04).Conclusions Conservative oxygen therapy could not reduce the mortality but did lower the MV time and new organ failure in critically ill patients.
Prevalence and trends of common mental and neurological disorders in Uganda, 2012- 2016: analysis of national surveillance data
Authors: Alitubeera Hilda Phoebe , Kadobera Daniel , Sheila Ndyanabangi , Lukwata Hafsa , Ario Alex Riolexus 
Published: March 2020

Abstract
Background: Empirical evidence shows Mental, Neurological, and Substance abuse (MNS) disorders disproportionately affect the poor and undermine efforts to achieve sustainable development goals. The Ministry of health has recognized that surveillance of MNS disorders is invaluable for adequate and appropriate service delivery. We determined prevalence and trends of common neuro-psychiatric disorders in Uganda, 2012-2016, using national health surveillance data.Methods: We conducted secondary data analysis on common mental and neurological disorders (CMNDs) from the national health surveillance database between 2012 and 2016. Disorders assessed included anxiety disorders, bipolar, childhood disorders, epilepsy, depression, schizophrenia, HIV psychosis, dementia, and other mental disorders. We performed and present descriptive statistics using prevalence of CMNDs by sex, region, age, and case type. Using population data obtained from the 2014 census, we calculated the prevalence of CMNDs by dividing the number of cases by the total population of the different sub-population groups. We analyzed trends of CMNDs from 2012 to 2016.Results: Prevalence of all CMNDs in 2016 was 160/10,000 persons. Prevalence of all CMNDs was similar between males (150/10,000) and females (160/10,000). People aged 5-59 years were the most affected (860/10,000). Epilepsy was the commonest disorder (76/10,000), followed by bipolar affective disorder (24/10,000). Northern Uganda accounted for the largest prevalence of epilepsy (100/10,000) while central Uganda had the highest prevalence of bipolar (62/10,000), schizophrenia (26/10,000), depression (18/10,000), and HIV-related psychosis (11/10,000). On average, CMNDs increased by 9% annually from 2012-2016.Conclusion: CMNDs are prevalent. Epilepsy accounts for the largest burden with northern Uganda being most affected region. CMNDs increased over the period evaluated. We recommend increased awareness on burden of epilepsy and mental health control measures that target epilepsy nationwide.
Future alcohol-attributable mortality in France using a novel generalizable age-period-cohort projection methodology
Authors: Trias-Llimós Sergi , Bardoutsos Anastasios , Janssen Fanny 
Published: March 2020

Abstract
Background: Alcohol is a major public health issue in Europe. Although future estimates of alcohol-attributable mortality can aid public health policy making, forecasts are scarce. Moreover, previous forecasts did not include the cohort dimension, despite the important role birth cohorts play in determining alcohol-attributable mortality trends. We forecast age- and sex-specific alcohol-attributable mortality in France for the period 2015-2050 using a novel generalizable methodology that includes different scenarios regarding period and cohort change. Within Western Europe, France has one of the highest levels of alcohol-attributable mortality.Methods: For the French national population aged 25-90 years (1979-2014), we estimated alcohol-attributable mortality by mortality from the main causes of death wholly-attributable to alcohol, plus liver cirrhosis mortality. We modelled sex-specific alcohol-attributable mortality by adjusting for age, period, and birth cohort. We forecasted the model parameters to obtain future age- and sex-specific alcohol-attributable mortality up until 2050 using a conventional baseline, scenario I (favourable period change) and scenario II (unfavourable cohort change). Results: Alcohol-attributable mortality is clearly declining in France, with the decline decelerating from 1992 onwards. In 2014, the age-standardized alcohol-attributable mortality rates, in deaths per 100,000, were 34.7 among men and 9.9 among women. In 2050, the estimated rates are between 10.5 (prediction interval: 7.6-14.4; scenario I) and 17.6 (13.1-23.7; scenario II) among men, and between 1.1 (0.7-1.7; scenario I) and 1.8 (1.2-2.9; scenario II) among women; which implies declines of 58% for men and 84% for women (baseline). The peak of the inverse u-shaped age pattern of alcohol-attributable mortality (currently at around age 65) is expected to shift towards older ages, and an additional hump in the age pattern is projected that moves towards higher ages over time, and is more extended in the cohort scenario.Conclusions: Alcohol-attributable mortality in France is expected to further decline in the coming decades, accompanied by age pattern changes. However, France’s levels are not expected to reach the current lower levels in Italy and Spain for 15 years or more. Our results point to the value of implementing preventive policy measures that discourage alcohol consumption among people of all ages, but especially among adolescents.
Mindfulness-based cognitive therapy for preventing recurrence of depression: a systematic review and meta-analysis
Authors: Li Yuxi , Li Juan , Zhong Dongling , Shi Lihong , Huang Yijie , Liu Xiaobo , Zhang Huiling , Zhang Jun , Liu Yongguo , Li Qiaoqin , Zhang Yonggang , Jin Rongjiang 
Published: March 2020

Abstract
Background: Mindfulness-based cognitive therapy (MBCT) has been increasingly applied to clinical management of relapse of depression. However, the uncertainties of MBCT versus active-control conditions (ACCs) in reducing relapse rate in subjects with recurrent depression exist. This systematic review and meta-analysis intend to compare the effects of MBCT versus ACCs in reducing relapse of depressive disorder. Methods: Electronic search of relevant literatures was performed on major medical databases. Randomized controlled trials evaluating MBCT versus ACCs for recurrent depressive disorder among adults were included. Risk of bias evaluation, meta-analysis, trial sequential analysis and evidence rating of all extracted information were conducted by two independent reviewers. Results: Six trials with 1061 participants were deemed eligible for meta-analysis. Low risk of bias was found across the 6 studies and no heterogeneity was found among them. There was no significant difference between MBCT and ACCs in reducing relapse rate in patients with recurrent depressive disorder. The pooled sample size did not meet the inquired information size of trial sequential analysis which indicated that the result may be false negative. A total of 25 adverse events were formally recorded, but none were attributed to intervention. The quality of evidence was moderate due to the inadequate pooled sample size. Conclusions: There was no significant difference between MBCT and ACCs in reducing relapse rate in patients with recurrent depressive disorder based on the available evidence. Future research will be needed to obtain a more explicit conclusion.
Identification of a gene set correlated with immune status in ovarian cancer by transcriptome-wide data mining
Authors: Fan Lili , Lei Han , Lin Ying , Zhou Zhengwei , Shu Guang , Yan Zhipeng , Zhang Tianxiang , Yin Gang 
Published: March 2020

Abstract
Background : Ovarian cancer (OC) is a serious tumor disease in gynecology. Many papers have reported that high tumor mutational burden (TMB) can generate many neoantigens to result in a higher degree of tumor immune infiltration, so our study aims to predict the key molecules in OC immunotherapy by combined TMB with immunoactivity-related gene. Method: We divided OC cases into two groups: the low & high TMB group hinged on the somatic mutation data from the Cancer Genome Atlas (TCGA). We also used single-sample gene set enrichment analysis (ssGSEA) scores of immune cell types to conduct unsupervised clustering of OC patients in the TCGA cohort and some of them were defined as the low & high immunity group. Besides, to further understand the function of these genes, we conducted Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway, protein-protein interaction network, survival prognosis analysis and immune infiltration analysis. Finally, the effects on prognosis and immunotherapy in OC patients were explored by the Group on Earth Observations verification the patients' responses to immunotherapy. Results: We found that the higher the TMB was associated with the higher OC grades. Moreover, both high TMB and high immunity were significantly correlated with a good prognosis of OC. Then, 14 up-regulated differential expression genes (Up-DEGs) that were closely related to the prognosis of OC patients were screened according to the high TMB group and the high immunity group. Next, pathway analysis revealed that Up-DGEs were mainly involved in immune response and T cell proliferation. Finally, four genes had a good prognosis and were validated in the GEO dataset which included CXCL13, FCRLA, PLA2G2D, and MS4A1. We also identified that four genes had a good prognosis in melanoma patients treated with anti-PD-L1 and anti-CTLA-4 in the TIDE database. Conclusion: High TMB can promote immune cell infiltration and increases immune activity. And our analysis also demonstrated that the higher the TMB, the higher the immune activity, the better the prognosis of OC. Altogether, we found that CXCL13, FCRLA, PLA2G2D, and MS4A1 may be biomarkers for OC immunotherapy. Keywords: ovarian cancer, TMB, immune cells infiltration, survival prognosis.