bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long noncoding RNA MIAT promotes non-small cell lung cancer progression by sponging miR-149-5p and regulating FOXM1 expression
Authors: Zhou Zhi , Zhang Shan , Xiong Yaqiong 
Published: July 2020

Abstract
Background
Long non-coding RNAs (lncRNAs) are a class of endogenous non-coding RNAs of longer than 200 bp that play crucial roles in cancer biology. Here, we assessed the tumorigenic properties of a long noncoding RNA, MIAT, in non-small cell lung cancer (NSCLC).

Methods
Survival and clinicopathological analyses were done in a cohort of 80 patients with NSCLC. MIAT expression level were determined by real-time quantitative reverse transcriptase PCR (qRT-PCR). Dual luciferase reporter assays were employed to test the interaction between MIAT and miR-149-5p. Ectopic overexpression and shRNA-mediated knockdown of MIAT, CCK-8 and colony formation assays, Transwell migration and invasion in vitro, and in vivo tumorigenesis experiment were used to evaluate the function of MIAT.

Results
MIAT was significantly up-regulated in NSCLC tissues and cell lines, and was closely associated with advanced pathological stage and poor overall survival. Gain- and loss-of-function experiments in cell lines and mouse xenograft models showed that MIAT promoted the proliferation, migration, and invasion of NSCLC cells in vitro and accelerated tumor growth in vivo. Luciferase assay, western blotting, qRT-PCR, and rescue experiments showed that, mechanistically, MIAT could directly bind to miR-149-5p, and subsequently served as a sponge to increase the expression level of Forkhead box M1 (FOXM1).

Conclusions
Our study reveals that MIAT acts as an oncogene in NSCLC via a novel MIAT/miR-149/FOXM1 axis, thus providing potential biomarkers and therapeutic targets for the management of NSCLC.
USP18 directly regulates Snail1 protein through ubiquitination pathway in colorectal cancer
Authors: Huang Fakun , Zheng Chengying , Huang Longkai , Lin Changqing , Wang Jiaxing 
Published: July 2020

Abstract
Background
Colorectal cancer (CRC) is one of the most common digestive malignant tumors in the world. Ubiquitin-specific peptidase 18 (USP18) plays a regulatory role in tumorigenesis, and abnormal expression of Snail1 is also believed to be related to tumorigenesis. However, whether USP18 could affect colorectal cancer through Snail1 remains unclear. This study was designed to investigate the role of USP18 in colorectal cancer.

Methods
USP18 protein and mRNA abundance in clinical tissues and five cell lines were analyzed with quantitative real-time PCR (qRT-PCR) and western blot. USP18 overexpression-treated DLD1 cells and USP18 knockdown-treated SW480 cells were used to study cell proliferation, migration, invasion, and the expression of epithelial-mesenchymal transformation (EMT) biomarkers. Moreover, ubiquitination-related Snail1 degradation was detected with qRT-PCR and western blot. The relationships between USP18 and Snail1 were investigated with western blot, co-immunoprecipitation, migration, and invasion.

Results
USP18 was highly expressed in colorectal cancer tissues. Overexpression of USP18 could promote proliferation, colony formation, migration, and invasion of colorectal cancer cells. Overexpression of USP18 effectively promoted cell survival after treatment with three different chemotherapy drugs. Moreover, USP18 could regulate Snail1 degradation through ubiquitination pathway. Furthermore, we demonstrated that Snail1 could effectively reverse the influence of USP18 on cell proliferation, migration, invasion, and EMT of CRC cells.

Conclusion
USP18 could promote the proliferation, migration, and invasion of colorectal cancer by deubiquitinating and stabilizing the Snail1 protein in colorectal cancer.
Microarray analysis of long non-coding RNA expression profiles in low high-density lipoprotein cholesterol disease
Authors: Wang Xinping , Guo Shuxia , Hu Yunhua , Guo Heng , Zhang Xianghui , Yan Yizhong , Ma Jiaolong , Li Yu , Wang Haixia , He Jia , Ma Rulin 
Published: July 2020

Abstract
Background
Low high-density lipoprotein cholesterol (HDL-C) disease with unknown etiology has a high prevalence in the Xinjiang Kazak population. In this study, long noncoding RNAs (lncRNAs) that might play a role in low HDL-C disease were identified.

Methods
Plasma samples from 10 eligible individuals with low HDL disease and 10 individuals with normal HDL-C levels were collected. The lncRNA profiles for 20 Xinjiang Kazak individuals were measured using microarray analysis.

Results
Differentially expressed lncRNAs and mRNAs with fold-change values not less than 1.5 and FDR-adjusted P-values less than 0.05 were screened. Bioinformatic analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and network analyses, were used to determine relevant signaling pathways and predict potential target genes. In total, 381 lncRNAs and 370 mRNAs were differentially expressed based on microarray analysis. Compared with those in healthy individuals, several lncRNAs were upregulated or downregulated in patients with low HDL-C disease, among which TCONS_00006679 was most significantly upregulated and TCONS_00011823 was most significantly downregulated. GO and KEGG pathway analyses as well as co-expression networks of lncRNAs and mRNAs revealed that the platelet activation pathway and cardiovascular disease were associated with low HDL-C disease.

Conclusions
Potential target genes integrin beta-3 (ITGB3) and thromboxane A2 receptor (TBXA2R) were regulated by the lncRNAs AP001033.3–201 and AC068234.2–202, respectively. Both genes were associated with cardiovascular disease and were involved in the platelet activation pathway. AP001033.3–201 and AC068234.2–202 were associated with low HDL-C disease and could play a role in platelet activation in cardiovascular disease. These results reveal the potential etiology of dyslipidemia in the Xinjiang Kazakh population and lay the foundation for further validation using large sample sizes.
Association between carotid intima media thickness and small dense low-density lipoprotein cholesterol in acute ischaemic stroke
Authors: Zhou Peiyang , Shen Yan , Wang Lingyun , Cao Zhihua , Feng Wenmin , Liu Jincheng , Wang Lijun , Meng Peng , Yang Jinbo , Xu Wang-Yang , Gao Ping 
Published: July 2020

Abstract
Background
Intima-media thickness (IMT) and small dense low-density lipoprotein cholesterol (sdLDL-C) have been reported to be related to atherosclerosis and stroke. This study is trying to explore the association between IMT and sdLDL-C in Chinese acute ischaemic stroke (AIS) subjects.

Methods
This study enrolled total 368 consecutive AIS patients and 165 non-AIS controls from November 2016 to February 2019. Mean IMT and carotid plaques were measured by using carotid ultrasonography method. Blood glucose and lipid parameters were measured by using an automatic biochemical instrument. SdLDL-C was detected by using the Lipoprint LDL system. IMT > 1.0 mm was defined as increased IMT. Plaque stability based on the nature of the echo was determined by ultrasound examination. Risk factors for IMT were identified by using multivariate logistic regression analysis. A logistic regression model was established to predict AIS risk. Python software (Version 3.6) was used for the statistical analysis of all data.

Results
The carotid IMT, proportion of plaques, and the sdLDL-C, triglycerides (TG) and glucose levels were obviously higher in AIS patients than those in controls. SdLDL-C level in the IMT thickening group was higher than that in the normal IMT group. SdLDL-C and total cholesterol (TC) were risk factors for IMT, while sdLDL-C was an independent risk factor. The IMT value of the unstable plaque group was markedly higher than that of the stable plaque group. The predictive value of IMT for AIS was better than that of low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) but not as good as that of sdLDL-C. A logistic regression model was established to predict AIS risk. Additionally, carotid IMT and sdLDL-C were closely related to AIS severity and outcomes.

Conclusions
SdLDL-C and TC were risk factors for increased IMT, while sdLDL-C was an independent risk factor. A prediction model based on IMT and other variables was established to screen the population with high AIS risk.
Cost utility of a pharmacist-led minor ailment service compared with usual pharmacist care
Authors: Dineen-Griffin Sarah , Vargas Constanza , Williams Kylie A. , Benrimoj Shalom I. , Garcia-Cardenas Victoria 
Published: July 2020

AbstractBackgroundA cluster randomised controlled trial (cRCT) performed from July 2018 to March 2019 demonstrated the clinical impact of a community pharmacist delivered minor ailment service (MAS) compared with usual pharmacist care (UC). MAS consisted of a technology-based face-to-face consultation delivered by trained community pharmacists. The consultation was guided by clinical pathways for assessment and management, and communication systems, collaboratively agreed with general practitioners. MAS pharmacists were trained and provided monthly practice support by a practice change facilitator. The objective of this study was to assess the cost utility of MAS, compared to UC.MethodsParticipants recruited were adult patients with symptoms suggestive of a minor ailment condition, from community pharmacies located in Western Sydney. Patients received MAS (intervention) or UC (control) and were followed-up by telephone 14-days following consultation with the pharmacist. A cost utility analysis was conducted alongside the cRCT. Transition probabilities and costs were directly derived from cRCT study data. Utility values were not available from the cRCT, hence we relied on utility values reported in the published literature which were used to calculate quality adjusted life years (QALYs), using the area under the curve method. A decision tree model was used to capture the decision problem, considering a societal perspective and a 14-day time horizon. Deterministic and probabilistic sensitivity analyses assessed robustness and uncertainty of results, respectively.ResultsPatients (n = 894) were recruited from 30 pharmacies and 82% (n = 732) responded to follow-up. On average, MAS was more costly but also more effective (in terms of symptom resolution and QALY gains) compared to UC. MAS patients (n = 524) gained an additional 0.003 QALYs at an incremental cost of $7.14 (Australian dollars), compared to UC (n = 370) which resulted in an ICER of $2277 (95% CI $681.49–3811.22) per QALY.ConclusionEconomic findings suggest that implementation of MAS within the Australian context is cost effective.Trial registrationRegistered with Australian New Zealand Clinical Trials Registry (ANZCTR) and allocated the ACTRN: ACTRN12618000286246. Registered on 23 February 2018.
Prevalence of depression and its correlative factors among female adolescents in China during the coronavirus disease 2019 outbreak
Authors: Zhou Jiaojiao , Yuan Xiaofei , Qi Han , Liu Rui , Li Yaqiong , Huang Huanhuan , Chen Xu , Wang Gang 
Published: July 2020

Abstract
Background
The outbreak of 2019 coronavirus disease (COVID-19) could increase the risk of depression. However, epidemiological data on outbreak-associated depressive morbidity of female adolescents are not available. This study determines the incidence and correlates of depression among female adolescents aged 11–18 years during the COVID-19 outbreak in mainland China.

Methods
A large cross-sectional sample, nationwide online survey was conducted during the COVID-19 outbreak. Depression was assessed using the Center for Epidemiologic Studies Depression Scale (CES-D), and the correlative factors of depression were analyzed.

Results
In this study, 4805 female adolescents were enrolled with a median (range) age of 15 (11–18) years. Of them, 1899 (39.5%) suffered from depression with a CES-D score of > 15. The onset of depression was significantly related to age, grade, distant learning, attitude toward COVID-19, sleep duration, and physical exercise duration. Furthermore, participants aged 15–18 years (OR = 1.755, 95% CI: 1.550–1.987, p < 0.001), participating in distant learning (OR = 0.710, 95% CI: 0.564–0.894, p = 0.004), concerned about COVID-19 (OR = 0.414, 95% CI: 0.212–0.811, p = 0.010), with sleep duration/day of < 6 h (OR = 2.603, 95% CI: 1.946–3.483, p < 0.001),and with physical exercise duration/day < 30 min (OR = 1.641, 95% CI: 1.455–1.850, p < 0.001) represented to be independent factors for suffering from depression.

Conclusion
During the COVID-19 outbreak, depression was common among female adolescents. Older age, distant learning, concern about COVID-19, short sleep duration, and physical exercise duration represented the independent factors for suffering from depression.
High-efficiency procedure to characterize, segment, and quantify complex multicellularity in raw micrographs in plants
Authors: Zhang Xi , Hu Zijian , Guo Yayu , Shan Xiaoyi , Li Xiaojuan , Lin Jinxing 
Published: July 2020

AbstractBackgroundThe increasing number of novel approaches for large-scale, multi-dimensional imaging of cells has created an unprecedented opportunity to analyze plant morphogenesis. However, complex image processing, including identifying specific cells and quantitating parameters, and high running cost of some image analysis softwares remains challenging. Therefore, it is essential to develop an efficient method for identifying plant complex multicellularity in raw micrographs in plants.ResultsHere, we developed a high-efficiency procedure to characterize, segment, and quantify plant multicellularity in various raw images using the open-source software packages ImageJ and SR-Tesseler. This procedure allows for the rapid, accurate, automatic quantification of cell patterns and organization at different scales, from large tissues down to the cellular level. We validated our method using different images captured fromArabidopsis thalianaroots and seeds andPopulus tremulastems, including fluorescently labeled images, Micro-CT scans, and dyed sections. Finally, we determined the area, centroid coordinate, perimeter, and Feret’s diameter of the cells and harvested the cell distribution patterns from Voronoï diagrams by setting the threshold at localization density, mean distance, or area.ConclusionsThis procedure can be used to determine the character and organization of multicellular plant tissues at high efficiency, including precise parameter identification and polygon-based segmentation of plant cells.
The Lebanese left ventricular assist device experience, a success story despite the odds
Authors: Hamdan R. , Fakih S. , Mohammad M. , Charif F. , Abdallah H. , Safa S. , Al Ali F. , Issa M. , Damen B. , el Zein A. , Younes M. , Rabah A. , Saab M. 
Published: July 2020

AbstractBackground and aimHeart failure is still a leading cause of mortality and morbidity. Assist devices are reserved for advanced heart failure patients with no other therapeutic options.We aim in this paper to describe the characteristics and outcome of Lebanese left ventricular assist device (LVAD) patients.ResultsFrom 2010 till December 2019, 78 patients were implanted with assist devices at the Beirut cardiac Institute, 82 pumps were used. To the most recent follow up after 10 years, 26 patients died (34%). 24 patients of 35 (68%) survived more than 5 years. Seven patients only (9%) died during one month of surgery. One year mortality was 19% (15 patients). The leading cause of early mortality was infection, whereas cerebrovascular accidents CVA were the leading cause of late mortality. Pump thrombosis occurred in 12% of the cases. The most serious long term complication was haemorrhagic CVA. Only seven patients (9%) received heart transplantation, with a mean time on support prior to transplantation of 1303 ± 213 days.ConclusionIn this manuscript we reported the characteristics and outcome of the largest population of LVAD patients in Lebanon. The survival rate was 81% at one year. These findings were comparable to the international registries except for rates of heart transplantation. More efforts should be made to encourage organ donation in Lebanon.
RAS Mutations in Circulating Tumor DNA and Clinical Outcomes of Rechallenge Treatment With Anti-EGFR Antibodies in Patients With Metastatic Colorectal Cancer
Authors: Sunakawa Yu , Nakamura Masato , Ishizaki Masahiro , Kataoka Masato , Satake Hironaga , Kitazono Masaki , Yanagisawa Hideyuki , Kawamoto Yasuyuki , Kuramochi Hidekazu , Ohori Hisatsugu , Nakamura Michio , Maeda Fumiyo , Komeno Chihiro , Sonezaki Tomoko , Takeuchi Masahiro , Fujii Masashi , Yoshino Takayuki , Tsuji Akihito , Ichikawa Wataru 
Published: July 2020

PURPOSE Several trials have evaluated the efficacy of rechallenge treatment with anti–epidermal growth factor receptor (EGFR) monoclonal antibody (mAb) in patients with metastatic colorectal cancer (mCRC). A recent trial indicated that RAS status in circulating tumor DNA (ctDNA) may potentially predict patients with RAS wild-type mCRC resistant to anti-EGFR mAb who would benefit from rechallenge treatment, and the findings should be further investigated. MATERIAL AND METHODS We enrolled patients whose plasma samples were collected in prospective phase II trials, the JACCRO CC-08 (n = 36) and CC-09 (n = 25), which evaluated rechallenge chemotherapy with anti-EGFR mAb for KRAS wild-type mCRC. RAS in ctDNA was analyzed at the time points of baseline, 8 weeks, and progression using OncoBEAM RAS CRC kit. RESULTS Sixteen patients were enrolled in this study, with a response rate of 0% and a disease control rate (DCR) of 62.5%. RAS mutations were found at baseline in six patients. The DCR was 33% in patients with RAS mutations in ctDNA, whereas it was 80% in patients without RAS mutation at baseline. Patients with RAS mutation at baseline had significantly shorter progression-free survival (PFS) and overall survival (OS) than those without RAS mutation (median PFS, 2.3 v 4.7 months; hazard ratio [HR], 6.2; P = .013; median OS, 3.8 v 16.0 months; HR, 12.4; P = .0028). Six of 10 patients without RAS mutation at baseline acquired RAS mutations at progression. Postprogression survival after rechallenge treatment was numerically shorter in patients with RAS mutation at progression. CONCLUSION RAS status in ctDNA was significantly associated with clinical outcomes in patients with mCRC receiving rechallenge treatment with anti-EGFR mAb. These findings could support the clinical utility of OncoBEAM RAS CRC kits for anti-EGFR mAb rechallenge in RAS wild-type mCRC.
Growth Curves for Children with X-linked Hypophosphatemia
Authors: Mao Meng , Carpenter Thomas O , Whyte Michael P , Skrinar Alison , Chen Chao-Yin , San Martin Javier , Rogol Alan D 
Published: July 2020

Abstract

Context
We characterized linear growth in infants and children with X-linked hypophosphatemia (XLH).

Objective
Provide linear growth curves for children with XLH from birth to early adolescence.

Design
Data from 4 prior studies of XLH were pooled to construct growth curves. UX023-CL002 was an observational, retrospective chart review. Pretreatment data were collected from 3 interventional trials: two phase 2 trials (UX023-CL201, UX023-CL205) and a phase 3 trial (UX023-CL301).

Setting
Medical centers with expertise in treating XLH.

Patients
Children with XLH, 1-14 years of age.

Intervention
None.

Main Outcome Measure
Height-for-age linear growth curves, including values for the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles for children with XLH compared to population norms.

Results
A total of 228 patients (132 girls, 96 boys) with 2381 height measurements were included. Nearly all subjects (&gt; 99%) reported prior management with supplementation therapy. Compared to the Center for Disease Control and Prevention growth curves, boys at age 3 months, 6 months, 9 months, 1 year, and 2 years had median height percentiles of 46%, 37%, 26%, 18%, and 5%, respectively; for girls the median height percentiles were 52%, 37%, 25%, 18%, and 7%, respectively. Annual growth in children with XLH fell below that of healthy children near 1 year of age and progressively declined during early childhood, with all median height percentiles &lt; 8% between 2 and 12 years old.

Conclusion
Children with XLH show decreased height gain by 1 year of age and remain below population norms thereafter. These data will help evaluate therapeutic interventions on linear growth for pediatric XLH.
ПРАКТИЧЕСКИЙ АСПЕКТ ИСПОЛЬЗОВАНИЯ СИСТЕМ ПЛАНИРОВАНИЯ РЕСУРСОВ ПРЕДПРИЯТИЯ В СТРОИТЕЛЬНОЙ ОТРАСЛИ
Authors: Shakirova Dinara Marselevna , Gorbov Valery Yurievich , Chernyshev Alexei Mikhaylovich , Dorozhkina Diana Borisovna , Usanova Ekaterina Andreevna , Gumerova Alina Rafailievna 
Published: July 2020

Сегодня системы планирования ресурсов предприятий предлагают множество преимуществ производственным и строительным отраслям промышленности: начиная от логистики предприятия, заканчивая бухгалтерией. Однако множество предприятий строительной сферы до сих пор не имеют данных систем на «вооружении», а те, кто имеют, не используют все возможности систем планирования ресурсов.Целью данной работы является рассмотрение современных автоматизированных систем, применяемых в сфере строительства для планирования ресурсов организации и определение их основных практических факторов.Методы исследования: аналитический и статистический метод анализа, системный подход и обобщение.Результатом данной работы является определение критических факторов для внедрения системы планирования ресурсов на предприятиях строительной отрасли.Область применения результатов: полученные результаты могут быть применены в области менеджмента строительства.
Periprosthetic fractures of the proximal femur: beyond the Vancouver classification
Authors: Stoffel Karl , Horn Tamara , Zagra Luigi , Mueller Michael , Perka Carsten , Eckardt Henrik 
Published: July 2020

The majority of periprosthetic femoral fractures are treated surgically. Surgical treatment may be revision only, revision in combination with open reduction and internal fixation (ORIF), or ORIF only. The treatment decision is dependent on whether the stem is loose or not, but loose stems are not always identified, resulting in unsatisfactory treatments. This article presents an algorithmic approach to identifying loose stems around proximal femoral periprosthetic fractures, taking patient history, stem design, and plain radiographs into consideration. This approach may help identifying loose stems and increase the probability of effective treatments. Cite this article: EFORT Open Rev 2020;5:449-456. DOI: 10.1302/2058-5241.5.190086