bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inhibiting mTOR enhanced Cardiac STAT3 Phosphorylation at Site Ser 727 and Attenuated Myocardial Ischemia Reperfusion Injury in Diabetic Rats
Authors: Xie Xiang , Zhao Zhongbao , Liu Danyong , Zhang Dengwen , He Yi , Zhang Liangqing , Lin Han , Wang Sheng , Xia Zhengyuan 
Published: May 2021

Abstract
Background Reduced levels of myocardial STAT3 activity in diabetic hearts may contribute to the increased susceptibility to ischemia-reperfusion injury (I/RI). The protein mammalian target of rapamycin (mTOR) can regulate metabolism and cell processes and plays major roles in the dynamics of I/RI. However, the role of mTOR in regulation of myocardial STAT3 and thereby affect myocardial I/RI in diabetes at relatively late stages of the disease is unknown. Methods Diabetes was induced by Streptozotocin in Sprague-Dawley rats. Myocardial I/RI was achieved with coronary occlusion for 30 minutes and reperfusion for 2 hours in absence or presence of the mTOR inhibitor rapamycin. In vitro cardiomyocyte hypoxia/re-oxygenation (H/R) was established within H9C2 cells. Results In diabetic rats, the levels of troponin-I (Tn-I), lipid peroxidation products 15-F2t-Isoprostane (15-F2t-Iso) and MDA, and the expression of protein mTOR were all significantly increased,and SOD releasing, the expression of protein phosphorylation of STAT3(p-STAT3-Ser727) were both significantly decreased compared to non-diabetic rats. Myocardial I/RI significantly increased the infract size (IS) and further increased the mTOR activation and decreased p-STAT3-Ser727 compared to diabetic rats. The selective mTOR inhibitor rapamycin reversed these changes and conferred cardioprotective effect. In H9C2 cells, high glucose (HG) significantly increased lactic dehydrogenase (LDH) release, apoptosis cells, ROS release, activation of mTOR, and decreased p-STAT3-Ser727. H/R further increased cellular injury, mTOR knock-down significantly reduced H/R injury. Conclusion Myocardial mTOR was enhanced in diabetes and contributed to I/RI. mTOR inhibition attenuated myocardial I/RI through increasing p-STAT3-Ser727.
Gonadotropin-releasing hormone agonist combined with hormone replacement therapy improves pregnancy outcome in intrauterine adhesion
Authors: Mo Meilan , Zheng Qizhen , Zhang Hongzhan , Xu Shiru , Xu Fen , Wang Yan , Zeng Yong 
Published: May 2021

Abstract
Objective: This retrospective study aimed to explore the optimal endometrial preparation method in women with intrauterine adhesions (IUAs).Method: A total of 882 frozen-thawed embryo transfer (FET) cycles were categorized into three groups based on endometrial preparation methods: hormone replacing therapy cycle (HRT, n=636), natural cycle (NC n=174), and HRT with GnRH-a pretreatment (HRT+GnRH-a, n=72. Logistic regression was performed to investigate the association between cycle regimens and pregnancy outcomes. Subgroup analysis of IUAs combined with thin endometrium (≤7mm) was also performed.Results: HRT with GnRH-a pretreatment was associated with higher incidences of clinical pregnancy, ongoing pregnancy, and live birth, but lower early miscarriage compared with either HRT or NC. Logistic regression indicated that after controlling for potential confounders, the incidences of live birth (HRT+GnRH-a as reference; NC: aOR=0.577, 95%CI 0.304-1.093; HRT: aOR=0.434, 95%CI 0.247-0.765) and ongoing pregnancy (NC: aOR=0.614, 95%CI 0.324-1.165; HRT: aOR=0.470, 95%CI 0.267-0.829) remained significantly higher in HRT+GnRH-a compared to those in HRT, but comparable to those in NC. While there was no significant difference with respect to the clinical pregnancy rate (NC: aOR=0.695, 95%CI 0.374-1.291; HRT: aOR=0.650, 95%CI 0.374-1.127) and early miscarriage rate (NC: aOR=1.734, 95%CI 0.417-7.175; HRT: aOR=2.594, 95%CI 0.718-9.378) between groups. Subgroup analysis suggested there was no priority of endometrial preparation method in IUAs combined with thin endometrium.Conclusion: HRT with GnRH-a pretreatment improves pregnancy outcomes in women with history of IUAs. GnRH-a may restore the endometrial receptivity in the FET cycles in IUAs.
Rapid Deployment of A Community Engagement Study And Educational Trial Via Social Media: Implementation of The UC-COVID Study
Authors: Wisk Lauren E , Buhr Russell G. 
Published: May 2021

Abstract
Background: In response to the COVID-19 pandemic and associated adoption of scarce resource allocation (SRA) policies, we sought to rapidly deploy a novel survey to ascertain community values and preferences for SRA, and to test the utility of a brief intervention to improve knowledge of and values alignment with a new SRA policy. Given social distancing and precipitous evolution of the pandemic, Internet enabled recruitment was deemed the best method to engage a community-based sample. We quantify the efficiency and acceptability of this Internet-based recruitment for engaging a trial cohort and describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools.Methods: We recruited 1,971 adult participants (≥18 years) via engagement with community partners and organizations and outreach through direct and social media messaging. We quantified response rate and participant characteristics of our sample, examine sample representativeness, and evaluate potential non-response bias. Results: Recruitment was similarly derived from direct referral from partner organizations and broader social media based outreach, with extremely low study entry from organic (non-invited) search activity. Of social media platforms, Facebook was the highest yield recruitment source. Bot activity was present but minimal and identifiable through meta-data and engagement behavior. Recruited participants differed from broader populations in terms of sex, ethnicity, and education, but had similar prevalence of chronic conditions. Retention was satisfactory, with entrance into the first follow-up survey for 61% of those invited. Conclusions: We demonstrate that rapid recruitment into a longitudinal intervention trial via social media is feasible, efficient, and acceptable. Recruitment in conjunction with community partners representing target populations, and with outreach across multiple platforms, is recommended to optimize sample size and diversity. Trial implementation, engagement tracking, engagement and retention are feasible with off-the-shelf tools using preexisting platforms.Trial Registration: ClinicalTrials.gov registration NCT04373135.
Design analysis of multi sample-single analyte Surface Plasmon Resonance Biosensor based on D-Shape Photonic Crystal Fiber
Authors: Gupta Ankur , Gadia Rohit , Singh Ankit , Singh Rajat Kumar , Tiwari Akhilesh 
Published: May 2021

Abstract
This paper deals with the analysis of a Surface Plasmon Resonance (SPR) based D-Shape Photonic Crystal Fiber (PCF) Biosensor for the detection of multi-molecules present in a single analyte or simultaneous detection of more than one samples of an analyte. A spatially distributed bi-metallic layer of plasmonic metals (Silver and Gold) are deposited on the outer flat surface of a D-shaped PCF. Two metals generate two resonance peaks corresponding to a specific sample of an analyte. The analytes are floated on to the flat surface of D-shaped PCF. The mode analysis of proposed sensor is done using Finite Element Method (FEM) with Perfectly Matched Layer (PML). In this study, it can be seen that spatially distributed bimetallic layers can detect more than one sample of analyte simultaneously. The different dimensions of spatially distributed bimetallic SPR based D-Shape PCF sensor are also optimized with respect to centre-hole diameter, first air hole ring diameter, metal layer thickness and the depth of D-shape. It is also observed that the two SPR wavelengths can be controlled slightly by varying these parameters. It has been seen that for some optimal set of dimensions with the same sensitivity, the confinement loss of the plasmonic peaks is more. This property may be useful in the applications, where one can sense more than two molecules or more than two samples for the single analyte.
Optimization of the Spent Activated Carbon Regeneration with the Radical Based Advanced Oxidation Processes: Preference of the Most Suitable Process by PROMETHEE Approach
Authors: Genç Nevim , Durna Elif , KACIRA Esin 
Published: May 2021

Abstract
In this study, regeneration of spent granular activated carbon (GAC) with reactive dye by hydroxyl and sulfate radical based advanced oxidation processes (Microwave (MW) + Persulfate (PS)), (Fe(II) + PS), and (O3 + H2O2) were evaluated. The adsorption of the dye to the GAC surface was characterized by chemisorption and Langmuir isotherm. Regeneration processes have been optimized by the Response Surface Methodology to determine the operating conditions that will provide the highest adsorptive capacity. The optimum conditions of (MW + PS), (Fe (II) + PS), and (O3 + H2O2) processes were (process PS anion of 45.52 g/L, pH of 11.4, MW power of 126 W, duration of 14.56 min), ( Fe (II) of 3.58 g/L, PS anion of 73.5 g/L, duration of 59.8 min, pH of 10.9) and (H2O2 of 2.8 mole/L, ozone dose of 98%, duration of 32.8 min, pH of 5.3), respectively. For (MW + PS), (Fe (II) + PS), and (O3 + H2O2) processes, the adsorptive capacity under optimum conditions were found as 4.36, 8.89 and 8.12 mg dye / g GAC respectively. For (Fe (II) + PS) and (O3 + H2O2) processes these values are approximately equal to the adsorptive capacity of raw GAC (8.01 mg dye / g GAC). The predicted values of the adsorption capacities by the obtained models were in good agreement with the actual experimental results. PROMETHEE approach was used in the preference of the appropriate regeneration process. The adsorptive capacity of regenerated GAC, operating cost of the regeneration process, change in the adsorptive capacity during the regeneration cycle and carbon mass loss criteria were taken into account. The order of preference of regeneration processes was determined as (Fe (II) + PS)> (MW + PS)> (O3 + H2O2) considering all criteria.
Assessing the stability of Pd-exchanged sites in zeolites with the aid of a high throughput quantum chemistry workflow
Authors: Aljama Hassan , Head-Gordon Martin , Bell Alexis 
Published: May 2021

Abstract
Cation exchanged-zeolites are functional materials with a wide range of applications from catalysis to sorbents. They present a challenge for computational studies using density functional theory due to the numerous possible active sites. From Al configuration, to placement of extra framework cation(s), to potentially different oxidation states of the cation, accounting for all these possibilities is not trivial. To make the number of calculations more tractable, most studies focus on a few active sites. We attempt to go beyond these limitations by implementing a workflow for a high throughput screening, designed to systematize the problem and exhaustively search for feasible active sites. We use Pd-exchanged CHA and BEA to illustrate the approach. After conducting thousands of individual calculations, we identify the sites most favorable for the Pd cation and discuss the results in detail. The high throughput screening identifies many energetically favorable sites that are non-trivial. Lastly, we employ these results to examine NO adsorption in Pd-exchanged CHA, which is a promising passive NOx adsorbent (PNA) during the cold start of automobiles. The results shed light on critical active sites for NOx capture that were not previously studied.
Applying the Super-EBM Model and Spatial Durbin Model to Examining Total Factor Ecological Efﬁciency From a Multi-Dimensional Perspective: Evidence From China
Authors: Chengyu Li , Yongmei Zhang , Shiqiang Zhang , Jianmei Wang 
Published: May 2021

Abstract
Ecological efficiency mainly emphasizes the importance of balancing the relationship between natural resources,energy,ecological environment and economic growth, which has aroused widespread concern in the world.China's rapid economic development has inevitably accompanied by serious resource exhaustion,environmental pollution and ecological deterioration in the past several decades,which has brought huge challenges to China's sustainable development.Therefore, establishing the evaluation framework of total-factor ecological efficiency (TFEE) and identifying its driving force has great significance for improving China's sustainable development capabilities.Firstly, a ecological efficiency evaluation framework is established based on the theory of total factor analysis.Secondly,establishing the Super-efficient hybrid distance model consider undesirable output,and measuring the total-factor ecological efficiency of nationwide,30 provinces and four regions during the period 2003–2017.Finally, the spatial effect of total-factor ecological efficiency and its driving factor are examined by using a Spatial Durbin model. The empirical results show that: (1)The efficiency measurement results show that the TFEE of China overall and regional showed different degrees of decline during the study period.There are significant differences among 30 provinces and four regions.Beijing,Tianjin,Shanghai are efficient,and the other provinces has not been effective.The TFEE of four region's are not achieve effective,and shows the distribution pattern of the eastern > northeast > central > western .(2)Moran’s I index show that the TFEE in nationwide has a positive spatial autocorrelation,and showing a strong spatial agglomeration.However,the spatial distribution pattern of TFEE in China was unstable and easy to change;Moran scatter plot indicates that china's provincial TFEE has not only spatial dependence characteristics, but also spatial differences in spatial correlation.(3)Most factors are bound up with TFEE in various degree, in which, TP,JJ and HC play a positive in TFEE ,and IS,CITY, and EI play a negative role in TFEE. Furthermore,ER show U type of relationship with TFEE.GDP and FDI cannot have a significant impact on TFEE at this stage.(4)The spatial Durbin model results show that TFEE has significant spatial spillover effect, and the improvement of the TFEE of province will increase the this TFEE of neighboring provinces.And spatial spillover effects of TP,IS,JJ,CITY,and HC are confirmed can significant impact the improvement of TFEE in neighboring provinces.
GSTM1 and GSTT1 Double Null Genotypes Determining Cell Fate and Proliferation as Potential Risk Factors of Relapse in Children with Hematological Malignancies after Stem Cell Transplantation.
Authors: Mlakar Simona Jurkovic , Satyanarayana Chakradhara Rao Uppugunduri , Nava Tiago , Mlakar Vid , Golay Hadrien , Robin Shannon , Waespe Nicolas , Rezgui Mohamed-Ali , Chalandon Yves , Boelens Jaap Jan , Bredius Robbert G.M , Dalle Jean-Hugues , Peters Christina , Corbacioglu Selim , Bittencourt Henrique , Krajinovic Maja , Ansari Marc 
Published: May 2021

Abstract
Background: Relapse is the major cause of treatment failure in children with hematological malignancies (HMs) undergoing busulfan (BU)- based allogeneic hematopoietic stem cell transplantation (HSCT). Glutathione S-transferases (GSTs) isoforms that participate in BU detoxification and protect cells against stress and cell death may be linked to post-HSCT outcomes. This study aimed to retrospectively evaluate the genetic association of null variants of Glutathione S-transferases GSTM1 and GSTT1 with relapse incidence in children with HMs undergoing BU- containing allogeneic HSCT and to assess the impact of these variants on BU-induced cytotoxicity on the immortalized and tumor lymphoblastoid cell lines (LCLs).Methods: GSTM1- and GSTT1- null alleles were genotyped using germline DNA from whole blood prior to a conditioning BU-based regimen. Association of GSTM1- and GSTT1- null variants with relapse incidence was analyzed using multivariable competing risk analysis. BU-induced cell-death studies were conducted in GSTs- null and non-null LCLs and CRISPR-Cas9 gene-edited THP1 leukemia cell lines. Results: Carrying GSTM1/GSTT1 double null genotype was found to be an independent risk factor for post-HSCT relapse in 86 children (adjusted HR: 6.52 [95% Cl, 2.76 - 15.42; p= 1.9 x 10-5]). BU induced cell death preferentially in THP1GSTM1(non-null) and LCLsGSTM1(non-null) as shown by decreased viability, increased necrosis and levels of the oxidized form of glutathione compared to null cells, while GSTT1 non-null cells showed increased baseline proliferation. Conclusion: The clinical association suggests that GSTM1/GSTT1 double null genotype could serve as genetic stratification biomarker for the high risk of post-HSCT relapse. Functional studies have indicated that GSTM1 status modulates BU-induced cell death. On the other hand, GSTT1 is proposed to be involved in baseline cell proliferation. Trial registration: ClinicalTrials.gov identifier: NCT01257854, Registered February 2008 – retrospectively registered.
Ocular inflammatory diseases in children with familial Mediterranean fever: a true association or a coincidence?
Authors: Avar-Aydin Pinar Ozge , CAKAR Nilgun , OZCAKAR Zeynep Birsin , YALCINDAG Nilufer , YALCINKAYA Fatos 
Published: May 2021

Abstract
Purpose: To describe the characteristics of patients with familial Mediterranean fever (FMF) concurrent with ocular inflammatory disease (OID) and to criticize possible relations between them.Methods: Clinical data were extracted from electronic medical records. Additionally, the medical literature on OIDs in FMF was reviewed.Results: Among 512 pediatric patients with FMF, five patients were found to have OIDs: bilateral chronic uveitis, recurrent orbital myositis (ROM), recurrent optic neuritis, and acquired Brown’s syndrome. The first cases of ROM and acquired Brown’s syndrome in FMF have been introduced in the literature. All patients presented with early-onset typical FMF attacks carried at least one M694V mutation and experienced OID while on colchicine. Conclusion: Increased frequency of OIDs in FMF as per the pediatric population and relapsing and chronic course of OIDs occasionally with concurrent FMF attacks suggest that this inflammatory syndrome especially those carrying M694V mutations may be a predisposing factor for OIDs.
Older Patients’ Experience of Living With Cognitive Impairment Related to Hormone Therapy for Breast Cancer
Authors: Tenda Yasuko , Miyashita Mika , Yamada Akimitsu , Shimizu Chikako , Nakayama Kanako , Honma Naoko , Taira Naruto , Sawaki Masataka 
Published: May 2021

Abstract
Purpose

Patients with breast cancer may develop cognitive impairment as a result of hormone therapy and aging. This study aimed to describe older patients’ experience of cognitive impairment related to hormone therapy for breast cancer.
Methods

A qualitative and descriptive design was used. Semi-structured interviews were conducted for 11 patients to ask about their experience in daily life related to their cognitive impairment. Study participants were evaluated by cancer-specific geriatric assessment. Inductive content analysis was conducted using interview records.
Results

Three themes emerged from the patients’ narrative data: recognizing of cognitive impairments, impacts on mental health, and coping with cognitive impairments. Recognizing of cognitive function consisted of two categories: perception of cognitive changes and acknowledging their cognitive function status through interacting with others. Impacts on mental health consisted of six categories: decreased motivation for social activities, upset by perception of cognitive decline, concerns about impacts of cognitive impairment on treatment of breast cancer, concerns about care burden of their family, concerns about progressing of cognitive impairments, and feeling secure that their cognitive impairment is not unusual. Coping with cognitive impairments consisted of two categories: coping with problems related to cognitive impairment and trying to maintain and improve cognitive function.
Conclusion

Medical professionals should perform a comprehensive evaluation of older patients receiving hormone therapy for breast cancer.
Hotspots for rockfishes, structural corals, and large-bodied sponges along the central coast of Pacific Canada
Authors: Frid Alejandro , McGreer Madeleine , Du Preez Cherisse , Blaine Tristan , Norgard Tammy 
Published: May 2021

Abstract
Biological hotspots are places with outstanding biodiversity features, and their delineation is essential to the design of marine protected area networks (MPANs). For the Central Coast of Canada’s Northern Shelf Bioregion, where a MPAN is being developed, we identified hotspots for structural corals and large-bodied sponges, which are foundation species vulnerable to bottom contact fisheries, and for Sebastidae, a fish family that includes long-lived (> 100 years) and overexploited species with high trophic positions. Using 10 years of survey data that spanned from inland fjords to oceanic waters, we derived hotspot indices that accounted for species characteristics and abundances, and examined hotspot distributions across depths and oceanographic subregions. The results highlighted previously undocumented hotspot locations for each species group, thereby informing the placement of MPAs for which high levels of protection are warranted. Given the vulnerability of the species groups that we examined to cumulative fishery impacts, prospective MPAs derived from our data should be considered for interim protection measures during the protracted period between final network design and the enactment of MPA legislations. These recommendations reflect our scientific data, which are only one way of understanding the seascape. Our extensive surveys did not cover many locations known to Indigenous peoples as biologically important. Consequently, it is paramount that Indigenous knowledge also contributes substantially to the design of the MPAN.
Whole Transcriptome Analyses Identify Pairwise Gene Circuit Motif in Serous Ovarian Cancer
Authors: Cheng Lixin , Zheng Xubin , Ling Rennan , Gao Jing , Leung Kwong-Sak , Wong Man-Hon , Yang Shu , Liu Yakun , Dong Ming , Bai Huimin , Kang Lin , Li Haili 
Published: May 2021

Abstract
Background: Ovarian cancer is the most lethal gynaecological malignancy, resulting in approximately 14,000 deaths annually in the United States. Transcriptome data are emerging as an effective tool possibly leading to clinical applications for various cancers.Methods: We collected eight serous ovarian carcinomas (SOCs) and eight normal ovary samples, and generated a whole transcriptome profile of human ovarian cancer using microarrays, including mRNAs, lncRNAs, and circRNAs. We constructed a competing endogenous RNA (ceRNA) network involving these three types of RNAs and identified immune-related circRNAs from the network. Moreover, we proposed a gene-pair filtering method to identify significant expression reversals from integrated multi-cohorts, which mitigates the technical variation and improves the statistical power.Results: Three pairs of mRNAs (BIRC5:PRKCQ, PTK2B:OGN, and S100A14:NR2F1) were identified as promising biomarkers and were fused as an indicator (SOC index) for diagnostic prediction. Validation in three independent cohorts demonstrated that the SOC index carries a very high predictive capacity (average ROC, 0.99; sensitivity, 0.98; specificity, 1.00). Additionally, the SOC index exhibited its prognostic potential to discriminate SOC patients between early and late stage disease.Conclusions: Our findings elucidate the repertoire of RNA expressions in SOC and identified three gene pairs for the primary screening of SOC. Further biological experiments of the three gene pairs are warranted in order to investigate the underlying function mechanisms involved in ovarian cancer development.