bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synergism of Pro-neurogenic miRNAs&nbsp;Provides a More Effective Strategy to Target Glioma Stem Cells
Authors: Kosti Adam , Barreiro Rodrigo , Guardia Gabriela , Ostadrahimi Shiva , Kokovay Erzsebet , Pertsemlidis Alexander , Galante Pedro A.F. , Penalva Luiz 
Published: December 2020

Abstract
Background: Tumor suppressor microRNAs (miRNAs) have been explored as agents to target cancer stem cells. Most strategies use a single miRNA mimic and present many disadvantages, such as the amount of reagent required and the diluted effect on target genes. miRNAs work in a cooperative fashion to regulate distinct biological processes and pathways. This information can be used to design more efficient ways to target cancer stem cells via miRNA combinations. Methods: We transfected glioma stem cell and neuroblastoma lines with miRNA combinations and evaluate their impact on cancer relevant phenotypes and neuronal differentiation. RNA-seq analysis was conducted then to determine the expression alterations induced by the miRNA combination and map target genes and affected pathways. Results: We have shown that miR-124, miR-128, and miR-137 function synergistically to regulate neurogenesis. We used a combination of these three miRNAs to treat glioma stem cells. miR-124, miR-128 and miR-137 combined treatment was much more effective than single miRNAs in disrupting cell proliferation and survival and promoting differentiation and response to radiation. Transcriptomic analyses indicated that transcription regulation, angiogenesis, metabolism, and neuronal differentiation are among the main biological processes affected by transfection of this miRNA combination. Finally, in search of other combinations of other tumor suppressor/pro-neurogenic miRNAs, we identified a miRNA cluster based on target predictions and established miR-29, miR-101, and miR-218 combination as an alternative to be used in cancer therapy.Conclusions: We demonstrated the value of using combinations of neurogenic miRNAs to disrupt cancer phenotypes and glioma stem cell growth. Our genomic analyses in GSCs established that the synergistic effect of these three miRNA amplified the repression of oncogenic factors and the effect on cancer relevant pathways. These results suggest that future therapeutic approaches would benefit from utilizing miRNA combinations, especially when targeting cancer-initiating cell populations.
The SRSF1/circATP5B/miR-185-5p/HOXB5 Feedback Loop Regulates the Proliferation of Glioma Stem Cells via the IL6-mediated JAK2/STAT3 Signaling Pathway
Authors: Zhao Junshuang , Jiang Yang , Zhang Haiying , Zhou Jinpeng , Chen Lian , Li Hao , Xu Jinkun , Zhang Guoqing , Jing Zhitao 
Published: December 2020

Abstract
BackgroundGlioma is the most common and malignant tumor of central nervous system. The tumor initiation, self-renewal, and multi-lineage differentiation abilities of glioma stem cells (GSCs) are responsible for glioma proliferation and recurrence. Although circular RNAs (circRNAs) play vital roles in the progression of glioma, the detailed mechanisms remain unknown. MethodsqRT-PCR, western blotting, immunohistochemistry, and bioinformatic analysis were performed to detect the expression of circATP5B, miR-185-5p, HOXB5, and SRSF1. Patient-derived GSCs were established, and MTS, EDU, neurosphere formation, and limiting dilution assays were used to detect the proliferation of GSCs. RNA-binding protein immunoprecipitation, RNA pull-down, luciferase reporter assays, and chromatin immunoprecipitation assays were used to detect these molecules' regulation mechanisms. ResultsWe found circATP5B expression was significantly upregulated in GSCs and promoted the proliferation of GSCs. Mechanistically, circATP5B acted as miR-185-5p sponge to upregulate HOXB5 expression. HOXB5 was overexpressed in glioma and transcriptionally regulated IL6 expression and promoted the proliferation of GSCs via JAK2/STAT3 signaling. Moreover, RNA binding protein SRSF1 could bind to and promote circATP5B expression and regulate the proliferation of GSCs, while HOXB5 also transcriptionally regulated SRSF1 expression. ConclusionsOur study identified the SRSF1/circATP5B/miR-185-5p/HOXB5 feedback loop in GSCs. This provides an effective biomarker for glioma diagnosis and prognostic evaluation.
Substance Use and Symptoms of Mental Health Disorders: a Prospective Cohort of Patients With Severe Substance Use Disorders in Norway
Authors: Aas Christer Frode , Vold Jørn Henrik , Gjestad Rolf , Skurtveit Svetlana , Lim Aaron G. , Gjerde Kristian Varden , Løberg Else Marie , Johansson Kjell Arne , Fadnes Lars Thore 
Published: December 2020

Abstract
BackgroundThere is high co-occurrence of substance use disorders (SUD) and mental health disorders. We aimed to assess impact of substance use patterns and sociodemographic factors on mental health distress using the ten-item Hopkins Symptom Checklist (SCL-10) over time.MethodsNested prospective cohort study of 707 participants with severe SUD across nine opioid-agonist-therapy outpatient clinics and low-threshold municipality clinics in Norway, during 2017-2020. Descriptive statistics were derived at baseline and reported by means and standard deviation (SD). A linear mixed model analysis was used to assess the impact of substance use patterns and sociodemographic factors on SCL-10 sum score with beta coefficients with 95% confidence intervals (CI).ResultsMean (SD) SCL-10 score was 2.2 (0.8) at baseline with large variations across patients. We observed more symptoms of mental health disorders among people with frequent use of benzodiazepines (beta 3.6, CI:2.4;4.8), cannabis (1.3, CI:0.2;2.5), opioids (2.7, CI:1.1;4.2), and less symptoms among people using frequently stimulants (-2.7, CI:-4.1;-1.4) compared to no or less frequent use. Females (1.8, CI:0.7;3.0) and participants with debt worries (2.2, CI:1.1;3.3) and unstable living conditions (1.7, CI:0.0;3.3) had also higher burden of mental health symptoms. There were large individual variations in SCL-10 score from baseline to follow-up, but no consistent time trends indicating change over time for the whole group. 65 % of the cohort had a mean score >1.85, the standard reference score.ConclusionsPeople with SUD are considerably more likely to have symptoms of mental health disorders compared to the general population. The lack of association between substance use patterns on change in mental health symptoms over time could suggest that the differences observed were indicating flattening of effects or self-medication to larger degree than medication-related decline in mental health. This call for better individualized mental health assessment and patient care.
Diagnostic Accuracy of&nbsp;SPECT/CT Arthrography in Patients With Suspected Aseptic Joint Prosthesis Loosening
Authors: Bao Bo , Liu Crystal , Masson Edward C.O , Abele Jonathan 
Published: December 2020

Abstract
Purpose To evaluate the diagnostic accuracy of SPECT/CT arthrography in patients with suspected aseptic prosthesis loosening following hip and knee arthroplasty. Methods A retrospective review of 63 SPECT/CT arthrogram studies (36 knees and 27 hips) between February 1, 2013 and July 1, 2018 was conducted. All patients underwent clinical and radiologic evaluation as part of their assessment for persistent pain following hip and knee arthroplasty. The detection of tracer activity along the bone-prosthetic interface on SPECT/CT suggests aseptic loosening. Operative assessment as well as clinical/ radiologic follow-up at a minimum of one year were used as the reference standard. Results The sensitivity and specificity of SPECT/CT for detection of aseptic loosening was 6/7 (86%) and 55/56 (98%) respectively. This gives a positive predictive value (PPV) of 6/7 (86%), a negative predictive value (NPV) of 55/56 (98%), and a diagnostic accuracy of 61/63 (97%). Conclusion SPECT/CT arthrography has a high diagnostic accuracy (97%) in the evaluation of loosening of both hip and knee arthroplasties in patients with persistent post-procedural pain.
A kernel Principal Component Analysis (kPCA) Digest&nbsp;with a New Backward Mapping (pre-image reconstruction) Strategy
Authors: García-González Alberto , Huerta Antonio , Zlotnik Sergio , Díez Pedro 
Published: December 2020

Abstract
Methodologies for multidimensionality reduction aim at discovering low-dimensional manifolds where data ranges. Principal Component Analysis (PCA) is very effective if data have linear structure. But fails in identifying a possible dimensionality reduction if data belong to a nonlinear low-dimensional manifold. For nonlinear dimensionality reduction, kernel Principal Component Analysis (kPCA) is appreciated because of its simplicity and ease implementation. The paper provides a concise review of PCA and kPCA main ideas, trying to collect in a single document aspects that are often dispersed. Moreover, a strategy to map back the reduced dimension into the original high dimensional space is also devised, based on the minimization of a discrepancy functional.
Porous Tantalum Implant for Treatment of Early-stage Osteonecrosis of the Femoral Head: A Minimum 5-year Follow-up Study
Authors: Zhang Yu , Sun Jian-Ning , Yang Zhi , Chen Wang , Hu Zheng-Hao , Hua Zi-Jian , Chen Xiang-Yang , Feng Shuo 
Published: December 2020

Abstract
Background To evaluate the survival rate of porous tantalum rod implantation in the treatment of osteonecrosis of the femoral head, to evaluate its clinical effect and imaging results, and to analyze the reasons for its failure to conversion to total hip arthroplasty (THA).Methods From January 2008 to December 2013, tantalum rod implantation for osteonecrosis of the femoral head was performed in two institutions. Statistical analysis of operation data, including operation time, blood loss and blood transfusion. Histopathological observations were performed on femoral head specimens with the tantalum rods that failed THA after tantalum rod implantation.Results 52 hips were followed up completely, the average follow-up time was 85.7 months (60-132 months). 24 hips turned to THA at the end of follow-up (46.2%), the average time was 44.3±32.8 months, and the average Harris score before THA was 57.1±7.6. Cox proportional-hazards model revealed that ARCO stage (P=0.017), bone marrow edema (P=0.006) and age＞40 years(P=0.043)were independent risk factors for conversion to THA. Histopathological examination revealed the implant surface is in contact with sparse Island bone. There is limited bone tissue extending inward from the implant.Conclusion The medium and long-term clinical effect of tantalum rod implantation in the treatment of osteonecrosis of the femoral head is not as satisfactory as we expected, and the osteogenic activity of tantalum rod in the femoral head is limited. ARCO stage, age and bone marrow edema were risk factors for the failure of tantalum rod implantation to THA.
Surgical Management of Traumatic Diaphragmatic Hernia: a Single Institutional Experience of More Than Two Decades.
Authors: Deng Xicheng , Deng Zuosheng , Huang Erjia 
Published: December 2020

Abstract
Background: We present here our experience with surgical management of traumatic diaphragmatic hernia, trying to find out the era impact of different periods on the outcome and risk factors of mortality. Methods: A series of 63 patients with traumatic diaphragmatic hernia were referred to us and operated on during March, 1990-August, 2017. The patient records were reviewed and statistically analyzed to demonstrate injury characteristics and to find out optimal treatment strategy, risk factors of death as well as the difference between two periods (1990-2005, 2005-2017) divided by introduction of computed tomography at our institution.Results: The overall mean age was 31.2±16.3 years old with a female to male ratio of 11/52. The mechanism was penetrating trauma in 19 cases (30.2%), and blunt trauma in 44 cases (69.9%). Two thirds of the patients in the latter period yet none in the former period underwent computed tomography. Ten patients (15.9%), of which 8 in the former and the other 2 in the latter period (p=.042), had late diagnoses. The most commonly used incision was a thoracotomy (n=43, 89.6%). There was no statistical difference in etiology or mortality between the two periods. Univariate analysis showed survivors were younger, and had lesser injury severity scores (ISS) and lower American Association for the Surgery of Trauma (AAST) grade than nonsurvivors. By multiple logistic regression analysis, increased age (odds ratio, 1.275; p=.013) and greater ISS (OR, 1.174; p=.028) were risk factors of death in all patients.Conclusions: High definition computed tomography has significantly improved the preoperative diagnosis rate. The transthoracic approach could be used in selected cases with traumatic diaphragmatic hernia with good outcomes. Patients with greater ISS and advanced age are at higher risk of death.
Repeatability Analysis of Overconstrained Kinematic Coupling Using a Parallel-Mechanism-Equivalent Model
Authors: Ding Jianzhong , Liu Xueao , wang chunjie 
Published: December 2020

Abstract
A novel method for repeatability analysis of overconstrained kinematic coupling using a parallel-mechanism-equivalent-model is proposed. An overconstrained Kelvin-type coupling with one additional support is introduced and used for method illustration. Contact forces of the overconstrained coupling under preload are computed with Moore-Penrose inverse and the deformations are obtained using the Hertz theory. The couping is equivalently modeled as a 7-SPS parallel mechanism, spherical joints of which represent the centers of the supporting balls and the contact points, respectively, and prismatic joints are used to simulate the deformations. Therefore, pose error of the coupling arisen from preload is analyzed using the well-appraised incremental method for forward kinematics analysis of parallel mechanisms. The uncertainties of the preload are discussed and a boundary-sampling method is proposed for repeatability analysis. The main contribution of this study lies in that the proposed parallel-mechanism-equivalent-model and the boundary-sampling method greatly simplify the repeatability analysis of overconstrained kinematic couplings. Finally, the proposed methods are validated by case study.
Asymmetric Effects of Remittances on Economic Growth in Nigeria: Evidence From Non-linear ARDL&nbsp;Analysis
Authors: Olayungbo David Oluseun , Olaniyi Clement Olalekan , Ojeyinka Titus Ayobami 
Published: December 2020

Abstract
Most of the extant studies on remittance-growth nexus have been limited to symmetric and linear effects of remittance on economic growth. Unlike previous studies, we examine asymmetric and nonlinear association between remittance and economic growth within the framework of nonlinear autoregressive distributed lag (NARDL) model utilizing Nigeria’s data from 1981 to 2018. The study finds the evidence to support that growth responds asymmetrically to remittances only in the long-run. It is established that both positive and negative variations in remittance inflows dampen the productive base of the economy in the long-run while positive and negative changes in remittances are growth-retarding and growth-enhancing respectively in the short-run. The study, therefore, concludes that persistent increase in remittance inflows have not been channeled to productive ventures that are capable of stimulating growth in Nigeria. Thus, consistent with the view of pessimistic theorists, continual inflows of remittances to Nigeria could not be termed brain gains to the economy. JEL CLASSIFICATION: F24, F43, O11
Comparative analysis of room temperature plasmonic graphene hot electron bolometric photodetectors
Authors: Gosciniak Jacek , Khurgin Jacob B. 
Published: December 2020

Abstract
We appraise a waveguide-integrated plasmonic graphene photodetector based on the hot carrier photo-bolometric effect, with performance characterized simultaneously by high responsivity, on the scale of hundreds of A/W, and high speed on the scale of 100’s of GHz. Performance evaluation is based on a theory of bolometric effect originating from the band nonparabolicity of graphene. Results compare favorably with the state-of-the-art plasmonic bolometric photodetectors, predicting up to two orders of magnitude increase in a responsivity while keeping speed on the same level, defined by the electron-lattice scattering time in graphene.
Effect of climate change and deforestation on vector borne diseases in the North-Eastern Indian state of Mizoram bordering Myanmar
Authors: Karuppusamy Balasubramani , Sarma Devojit Kumar , Lalmalsawma Pachuau , Pautu Lalfakzuala , Karmodiya Krishanpal , Nina Praveen Balabaskaran 
Published: December 2020

Abstract
Background

Malaria and dengue are the two major vector-borne diseases in Mizoram. Malaria is endemic in Mizoram, and dengue was first reported only in 2012. It is well documented that climate change has a direct influence on the incidence and spread of vector-borne diseases. The study was designed to study the trends and impact of climate variables (temperature, rainfall and humidity) in the monsoon period (May to September) and deforestation on the incidence of dengue and malaria in Mizoram.
Methods

Temperature, rainfall and humidity data of Mizoram from 1979–2013 were obtained from the National Centers for Environmental Prediction Climate Forecast System Reanalysis and analyzed. Forest cover data of Mizoram was extracted from India State of Forest Report (IFSR) and Land Processes Distributed Active Archive Centre. Percent tree cover datasets of Advanced Very High Resolution Radiometer and Moderate Resolution Imaging Spectroradiometer missions were also used to study the association between deforestation and incidence of vector-borne diseases. The study used non-parametric tests to estimate long-term trends in the climate (temperature, rainfall, humidity) and forest cover variables. The trend and its magnitude are estimated through Mann-Kendall test and Sen's slope method. Year-wise dengue and malaria data were obtained from the State Vector Borne Disease Control Program, Mizoram.
Results

The Mann-Kendall test indicates that compared to maximum temperature, minimum temperature during the monsoon period is increasing (p < 0.001). The Sen’s slope estimation also shows an average annual 0.020C (0.01–0.03 at 95% CI) monotonic increasing trend of minimum temperature. The residuals of Sen’s estimate show that temperature is increasing at an average of about 0.10C/year after 2007.Trends indicate that both rainfall and humidity are increasing (p <. 0.001); on an average, there is a 20.45 mm increase in monsoon rainfall per year (5.90–34.37 at 95% CI), while there is a 0.08% (0.02–0.18 at 95% CI) increase in relative humidity annually. IFSR data shows that there is an annual average decrease of 162 sq.km (272.81–37.53 at 95% CI, p < 0.001) in the dense forest cover. Mizoram in 2012 was the last state in India to report the incidence of dengue. Malaria transmission continues to be stable in Mizoram; compared to 2007, the cases have increased in 2019.
Conclusion

Over the study period, there is an ~ 0.80C rise in the minimum temperature in the monsoon season which could have facilitated the establishment of Aedes aegypti, the major dengue vector in Mizoram. In addition, the increase in rainfall and humidity may have also helped the biology of Ae. aegypti. Deforestation could be one of the major factors responsible for the consistently high number of malaria cases in Mizoram.
Impact of non-pharmaceutical interventions on the control of COVID-19 in Iran: A mathematical modeling study
Authors: Nakhaeizadeh Mehran , Eybpoosh Sana , Jahani Yunes , Gohari Milad Ahmadi , Haghdoost Ali Akbar , White Lisa , Sharifi Hamid 
Published: December 2020

Abstract
Background

During the first months of the COVID-19 pandemic, Iran reported high numbers of infections and deaths in the Middle East region. In the following months, the burden of this infection decreased significantly, possibly due to the impact of a package of interventions. We modeled the dynamics of COVID-19 infection in Iran to quantify the impacts of these interventions.
Methods

We used a modified susceptible–exposed–infected–recovered (SEIR) model to model the COVID-19 epidemic in Iran, from 21 January to 21 September 2020, using Markov chain Monte Carlo simulation to calculate 95% uncertainty intervals (UI). We used the model to assess the effectiveness of physical distancing measures and self-isolation under different scenarios. We also estimated the control reproductive number (Rc), using our mathematical model and epidemiologic data.
Results

If no non-pharmaceutical interventions (NPIs) were applied, there could have been a cumulative number of 51,800,000 (95% UI: 19,100,000–77,600,000) COVID-19 infections and 266,000 (95% UI: 119,000–476,000) deaths by September 21 2020. If physical distancing interventions, such as school/border closures and self-isolation interventions, had been introduced a week earlier than they were actually launched, a 30% reduction in the number of infections and deaths could have been achieved by September 21 2020. The observed daily number of deaths showed that the Rc was one or more than one almost every day during the analysis period.
Conclusions

Our models suggest that the NPIs implemented in Iran between 21 January and 21 September 2020 had significant effects on the spread of the COVID-19 epidemic. Therefore, we recommend that these interventions are considered when designing future control programs, while simultaneously considering innovative approaches that can minimize harmful economic impacts on the community and the state. Our study also showed that the timely implementation of NPIs showed a profound effect on further reductions in the numbers of infections and deaths. This highlights the importance of forecasting and early detection of future waves of infection and of the need for effective preparedness and response capabilities.
Serum soluble CD26/DPP4 titer variation is a potential prognostic biomarker in cancer therapy with a humanized anti-CD26 antibody
Authors: Kaneko Yutaro , Hatano Ryo , Hirota Naoto , Isambert Nicolas , Trillet-Lenoir Véronique , You Benoit , Alexandre Jérôme , Zalcman Gérard , Valleix Fanny , Podoll Thomas , Umezawa Yoshimi , Takao Seiichi , Iwata Satoshi , Hosono Osamu , Taguchi Tetsuo , Yamada Taketo , Dang Nam H. , Ohnuma Kei , Angevin Eric , Morimoto Chikao 
Published: December 2020

Abstract
Background
The phase I trial of the humanized anti-CD26 monoclonal antibody YS110 for CD26-expressing tumors was conducted recently. The present study identifies a potential prognostic biomarker for CD26-targeted therapy based on the phase I data.
Methods
Box and Whisker plot analysis, Scatter plot analysis, Peason product moment correlation/Spearman’s rank-difference correlation, Bar graph analysis, and Receiver Operating Characteristics (ROC) were used to examine the correlation between sCD26 titer variation with YS110 administration and tumor volume change, RECIST criteria evaluation and progression free survival (PFS). Mechanism for serum sCD26 titer variation was confirmed by in vitro experimentation.
Results
Serum sCD26/DPP4 titer was reduced following YS110 administration and gradually recovered until the next infusion. Serum sCD26/DPP4 titer before the next infusion was sustained at lower levels in Stable Disease (SD) cases compared to Progressive Disease cases. ROC analysis defined the cut-off level of serum sCD26/DPP4 titer variation at day 29 pre/post for the clinical outcome of SD as tumor response or PFS. In vitro experimentation confirmed that YS110 addition reduced the sCD26 production from CD26-expressing tumor and non-tumor cells.
Conclusions
Our study indicates that serum sCD26/DPP4 titer variation in the early phase of YS110 treatment is a predictive biomarker for evaluating therapeutic efficacy.