bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive Analysis of the Prognostic Value of ITGB Superfamily Members in Gastric Cancer Using Bioinformatics Analysis
Authors: Lu Peixin , Jiang Jinying , Lu Jun 
Published: April 2021

Abstract
Background: Gastric cancer (GC) is one of the most common malignant tumors worldwide with a high incidence and mortality, making it urgent to search for potential biomarkers to improve the prognosis of patients. Integrin β (ITGB) superfamily members have been reported to participate in the biological process in various tumors. However, the expression and prognostic value of ITGBs in GC have not been clarified. In this study, the expression and roles of ITGBs in stomach adenocarcinoma (STAD) were investigated with ONCOMINE, UALCAN, The Human Protein Atlas, GEPIA, Kaplan-Meier Plotter, NetworkAnalyst, cBioPortal, STRING, GeneMANIA, David 6.8 and TIMER. Results: The transcriptional levels of ITGB1, 2, 4, 5, 6 and 8, and the protein expression of ITGB4, 5, 6 and 8 were significantly elevated while the transcriptional level of ITGB7 was significantly reduced in GC. High mRNA expression of ITGB1, 3 and 5, and low mRNA expression of ITGB4 were associated with short overall survival (OS), and high mRNA expression of ITGB6 was associated with short disease-free survival (DFS) in STAD patients. We also identified DAB2 as the potential transcription factor for ITGB3 and ITGB5, and TFAP2A for ITGB4 in STAD. Moreover, the functions of ITGB superfamily members were primarily related to regulation of actin cytoskeleton, focal adhesion and PI3K-Akt signalling pathway. The expression of ITGBs was significantly correlated with the infiltration of diverse immune cells, B cell, CD8+ T cell, CD4+ T cell, macrophage, neutrophil and dendritic cell.Conclusion: Taken together, our study indicated that ITGB superfamily members could be a potential prognostic target in the development of anti-STAD therapeutics. However, further experimental studies are still necessary to elucidate the mechanism of ITGBs.
Assessment of molecular diversity in doubled haploid lines of Camelina (Camelina sativa), as a new emerging oil crop
Authors: Sadeghikian Mozafar , Najaphy Abdollah , Kahrizi Danial , Rostami-Ahmadvandi Hossein 
Published: April 2021

Abstract
Camelina [Camelina sativa (L.) Crantz], an oilseed crop, belongs to Brassicaceae family. Two unique features of camelina in comparison with the main oil crops are adaptation to different environments and also its unique oil composition. Development of doubled haploid plants is one of the essential methods for the crop improvement. This research was conducted to evaluate the genetic variation of 81 Camelina doubled haploid (DH) lines obtained from fifteen crosses by ISSR markers. The total number of amplified bands was 243, of which 239 bands (98.3%) showed polymorphism. The percentage of polymorphic bands (PPB) varied between 93.75 and 100. The size of the bands ranged from 50 to 1,700 base pairs. The informative ISSRs were identified by estimating marker features: polymorphism information content (PIC), effective multiplex ratio (EMR), marker index (MI) and resolving power (RP). Three markers had higher RP values (9.88, 8.5 and 7.46) and were the most informative markers to identify the DH lines. Cluster analysis based on Complete algorithm divided the lines into five groups, indicating relatively clear configuration from the geographic distribution patterns of the parents of the doubled haploid lines. Principal coordinate analysis (PCoA) classified the 81 camelina DH lines into six groups. The lines grouping by these two methods was similar to each other. The ISSR markers detected high polymorphism to reveal genetic variation of camelina DH lines. The findings of this research, along with biochemical traits, can improve classical and molecular breeding programs of camelina.
Knockout of miR-17-92 Cluster Protect Against Intervertebral Disc Degeneration by Inhibiting Apoptosis of Nucleus Pulposus Cells in Mice via the Activation of PI3K/Akt Pathway
Authors: Guo Yingjun , Meng Yang , Liu Hao , Wang Xiaofei , Hong Ying , Wang Beiyu , Ding Chen , Yu Xijie 
Published: April 2021

Abstract
Background: microRNA(miR)-17-92 cluster is involved in a variety of physiological and pathological processes, and the purpose of this study is to preliminarily explore the role of miR-17-92 cluster in disc degeneration and the corresponding mechanisms.Methods: Hematoxylin and Eosin (HE) and Safranin O Staining were used to evaluate the degeneration of intervertebral disc. qRT-PCR was applied to evaluate the mRNA level of miR-17-92 cluster and functional genes of nucleus pulposus (NP) tissues, whose protein level was evaluated with Western-blot. Terminal-Deoxynucleoitidyl Transferase Mediated Nick End Labeling (TUNEL) was used to evaluate the apoptotic level of nucleus pulposus cell (NPC).Results: The expression levels of members of the miR-17-92 cluster were significantly increased in the NP tissues from patients with intervertebral disc degeneration (IVDD). Furthermore, in the 3-months and 24-months miR-17-92-ccKO mice, the degree of IVDD was significantly lower than that of the control group. At the same time, we also detected the expression levels of related functional genes in the NP tissues of mice in two groups. The results showed that the mRNA and protein levels of Bax and Caspase-3 in the knockout group were significantly lower than those in the control group, and the mRNA and protein levels of Bcl-2 were significantly higher. The TUNEL results showed that the apoptosis level of NPCs in the 3-month knockout mice was significantly lower than that in the control group. Finally, the assessment of pathway-related protein levels showed that p-Ser473-Akt expression ratio in the nucleus pulposus of mice in the knockout group were significantly increased, suggesting that the PI3K/Akt pathway was activated after miR-17-92 cluster knockout.Conclusion: To sum up, miR-17-92 cluster does play an important regulating role in IVDD, and the results showed that miR-17-92 cluster could inhibiting NPCs apoptosis by activating PI3K/Akt pathway, eventually producing protective effect against IVDD.
A Folate- and Vitamin B12-Deficient Diet Decreases the Latency and Increases the Incidence of Mammary Tumors in MMTV-ErbB2 Transgenic Mice
Authors: Xiao Zhengzheng , Yao Guoliang , Liu Yongxuan , Zhao Chunling 
Published: April 2021

Abstract
There has been controversy regarding folate- and vitamin B12-deficient diet (FVD)-induced hyperhomocysteinemia (HHcy) associated with breast cancer risk in most published epidemiological studies. Thus, the present study designed experiments to assess the causal association between FVD-induced HHcy and mammary tumor risk, as well as to identify the relative underlying mechanism. In this study, mammary tumor development was examined in mouse mammary tumor virus (MMTV)-erb-b2 receptor tyrosine kinase 2 (ErbB2) mice fed with a control AIN-93G diet or a FVD diet. MMTV-ErbB2 mice fed with the FVD diet displayed elevated blood levels of the amino acid homocysteine, a shorter tumor latency and an increased tumor multiplicity compared with the controls. The expression levels of key markers in the receptor tyrosine kinase and estrogen receptor (ER) signaling pathways, including phosphorylated (p)-Akt, p-Erk, p-ERα and Cyclin D1, were elevated in mammary tissues from MMTV-ErbB2 mice fed the FVD diet compared with mice fed with control diet. These data suggested that FVD-induced HHcy may promote mammary tumor development and decrease tumor latency, possibly by activating the epidermal growth factor receptor/ErbB2 and ERα signaling pathways. Therefore, examining the signaling mechanisms and identifying the relative metabolic pathways underlying mammary tumor promotion following FVD-induced HHcy may provide a novel strategy for breast cancer prevention and treatment.
Clinical subtyping for patients with acute exacerbations of interstitial lung diseases guided by serum KL-6 measurement
Authors: Tagami Yoichi , Hara Yu , Murohashi Kota , Nagasawa Ryo , Nishikawa Yurika , Tanaka Meiro , Aoki Ayako , Tanaka Katsushi , Nakashima Kentaro , Watanabe Keisuke , Horita Nobuyuki , Kobayashi Nobuaki , Yamamoto Masaki , Kudo Makoto , Okudela Koji , Kaneko Takeshi 
Published: April 2021

Abstract
Introduction: Serum Krebs von den Lungen-6 (KL-6) measurement is widely used to assess disease activity or prognosis in patients with interstitial lung diseases (ILDs). However, the clinical differences between high and low serum KL-6 levels at the time of acute exacerbation (AE) of ILD are not well known.Methods: Clinical parameters including age, sex, Charlson Comorbidity Index score (CCIS), blood biomarkers, high-resolution CT findings, and disease mortality were retrospectively compared between high and low KL-6 (cut-off value: 1000 U/mL) patients at the time of diagnosis of AE of ILDs.Results: 38 high serum KL-6 and 57 low serum KL-6 patients were included. There was no significant difference in 6-month mortality between them (P = 0.685). Whereas serum lactate dehydrogenase was a significant predictor of 6-month mortality in the high serum KL-6 patients (odds ratio (OR), 1.006; 95% confidence interval (CI), 1.003-1.009; P < 0.001), CCIS (OR, 1.502; 95% CI, 1.242-1.838; P < 0.001) and sex (OR, 5.751; 95% CI, 1.121-105.163; P = 0.033) were significant predictors in low serum KL-6 patients. In addition, the incidences of congestive heart failure, symptomatic chronic pulmonary disease, cerebrovascular disease, and second metastatic solid tumours were significantly higher in non-survivors with low serum KL-6 than in other groups (p < 0.05).Conclusions: The clinical features in patients with AEs of ILDs may differ depending on the serum KL-6 level, and clinicopathological examination according to this subtyping guided by the serum KL-6 level is essential.
CNN-AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID-19 patients
Authors: Khozeimeh Fahime , Sharifrazi Danial , Izadi Navid Hoseini , Joloudari Javad Hassannataj , Shoeibi Afshin , Alizadehsani Roohallah , Gorriz Juan M. , Hussain Sadiq , Sani Zahra Alizadeh , Moosaei Hossein , Khosravi Abbas , Nahavandi Saeid , Islam Sheikh Mohammed Shariful 
Published: April 2021

Abstract
Today, the use of artificial intelligence methods to diagnose and predict infectious and non-infectious diseases has attracted so much attention. Currently, COVID-19 is considered a new virus which has caused so many deaths worldwide. Due to the pandemic nature of COVID-19, the automated tools for the clinical diagnostic of this disease are highly desired. Convolutional Neural Networks (CNNs) have shown outstanding classification performance on image datasets. Up to our knowledge, COVID computer aided diagnosis systems based on CNNs and clinical information have been never analyzed or explored to date. Moreover, Most of existing literature on COVID-19 focuses on distinguishing infected individuals from non-infected ones. In this paper, we propose a novel method named CNN-AE to predict survival chance of COVID-19 patients using a CNN trained on clinical information. To further increase the prediction accuracy, we use the CNN in combination with an autoencoder. Our method is one of the first that aims to predict survival chance of already infected patients. We rely on clinical data to carry out the prediction. The motivation is that the required resources to prepare CT images are expensive and limited compared to the resources required to collect clinical data such as blood pressure, liver disease, etc. We evaluate our method on a publicly available clinical dataset of deceased and recovered patients which we have collected. Careful analysis of the dataset properties is also presented which consists of important features extraction and correlation computation between features. Since most of COVID-19 patients are usually recovered, the number of deceased samples of our dataset is low leading to data imbalance. To remedy this issue, a data augmentation procedure based on autoencoders is proposed. To demonstrate the generality of our augmentation method, we train random forest and Naïve Bayes on our dataset with and without augmentation and compare their performance. We also evaluate our method on another dataset for further generality verification. Experimental results reveal the superiority of CNN-AE method compared to the standard CNN as well as other methods such as random forest and Naïve Bayes. COVID-19 detection average accuracy of CNN-AE is 96.05% which is higher than CNN average accuracy of 92.49%. To show that clinical data can be used as a reliable dataset for COVID-19 survival chance prediction, CNN-AE is compared with a standard CNN which is trained on CT images.
Trend and predictors of change of unmet need for family planning among reproductive age group women in Ethiopia, based on Ethiopian demographic and health survey from 2005-2016: Multivariate decomposition analysis
Authors: Tareke Abiyu Abadi , Bekele Ermias 
Published: April 2021

Abstract
Background: Family planning is a key method for reducing population growth and improving maternal and child health by spacing births and preventing unwanted pregnancies. have an unmet need for family planning is defined as women believed to be sexually involved but are not using some form of contraception, either do not want to have more children (Limiting) or want to delay their next birth for at least two years, (Spacing).Methods: The data for this study arrived from the Ethiopia Demographic Health Surveys (EDHS) in20005, 2011, and 2016 to investigate trends and Predictors of change of unmet need for family planning among reproductive age women in Ethiopia. A pooled weighted sample of 26,230 (7,761 in EDHS 2005, 9,136 in EDHS 2011 and 9,333 in EDHS 2016) reproductive-age women used for this study. For the overall trend (2005-2016) multivariate decomposition analysis for non-linear response outcome was calibrated to identify the factors contributed to the change of unmet need for family planning across the two surveys. The Logit based multivariate decomposition analysis utilizes the output from the logistic regression model to assign the observed change in in unmet need for family planning over time into components. Stata version 16.0 was used to analysis the data.Result: among reproductive age women in Ethiopia the magnitude of unmet need for family planning decreased from 39.6% in 2005 to 23.6% in 2016. From the decomposition analysis change of unmet need for family planning was due to change in characteristics and coefficients. About nine in ten changes in unmet need for family planning was attributable to the difference in coefficients. Factors that associated with the change of unmet need for family planning over the last 11 years were educational status, birth order, and desired number of children.Conclusion: Remarkable change in unmet need for FP was observed between the period of 2005 and 2016. Both change in characteristics and coefficient were the contributing to observed change. Majority of the change in unmet need for FP was due to difference in coefficient over the study period. Mainly the change of unmet need for FP was due to change in women having birth order of five and above, having secondary education and women who desired number of children below five.
Dexamethasone Priming Enhances Stemness and Immunomodulatory Property of Tissue-specific Human Mesenchymal Stem Cells
Authors: Rawat Sonali , Dadhwal Vatsla , Mohanty Sujata 
Published: April 2021

Abstract
Background: Human Mesenchymal Stem Cells (hMSCs) represent a promising cell source for cell-based therapy in autoimmune diseases and other degenerative disorders due to their immunosuppressive, anti-inflammatory and regenerative potentials. Belonging to a glucocorticoid family, Dexamethasone (Dex) is a powerful anti-inflammatory compound that is widely used as therapy in autoimmune disease conditions or allogeneic transplantation. However, minimal immunomodulatory effect of hMSCs may limit their therapeutic uses. Moreover, the effect of glucocorticoids on the immunomodulatory molecules or other regenerative properties of tissue-specific hMSCs remains unknown. ﻿Method: Herein, we evaluated the in vitro effect of Dex at various dose concentrations and time intervals, 1000 ng/ml, 2000 ng/ml, 3000 ng/ml and 24 h, 48 h respectively, on the basic characteristics and immunomodulatory properties of Bone marrow derived MSC (BM-MSCs), Adipose tissue derived MSCs (AD-MSCs), Dental Pulp derived MSC (DP-MSCs) and Umbilical cord derived MSCs (UC-MSCs). Results: The present study indicated that the concentration of Dex did not ramify the cellular morphology nor showed cytotoxicity as well as conserved the basic characteristics of tissue specific hMSCs including cell proliferation and surface marker profiling. However, quite interestingly it was observed that the stemness markers (Oct-4, Sox-2, Nanog & Klf-4) showed a significant upregulation in DP-MSCs and AD-MSCs followed by UC-MSCs and BM-MSCs. Additionally, immunomodulatory molecules, Prostaglandin E-2 (PGE-2), Indoleamine- 2,3-dioxygenase (IDO) and Human Leukocyte Antigen-G (HLA-G) were seen to be upregulated in a dose-dependent manner. Moreover, there was a differential response of tissue specific hMSCs after pre-conditioning with Dex during mixed lymphocyte reaction, wherein UC-MSCs and DP-MSCs showed enhanced immunosuppression as compared to AD-MSCs and BM-MSCs, thereby proving to be a better candidate for therapeutic applications in immune-related diseases. Conclusion: Dex preconditioning ameliorates the hMSCs immunomodulatory property and may void the challenge associated with minimal potency and strengthen their therapeutic efficacy.
Prospective Multicenter Trial of Cervical Arthroplasty With the ROTAIO® Cervical Disc Prosthesis
Authors: Fleck Steffen , Lang Anna Maria , Lehmberg Jens , Landscheidt Julia Fee , Gerlach Rüdiger , Rathert Julian , Schär Ralph T. , Ulrich Christian , Müller Jan-Uwe , Hartmann Sebastian , Thomé Claudius 
Published: April 2021

Abstract
ObjectiveAnterior Cervical Discectomy and Arthroplasty (ACDA) is an established treatment for degenerative cervical disc disease and seems to be an alternative to fusion in minimizing the risk of Adjacent Segment Disease (ASD). The ROTAIO® cervical disc prosthesis is a novel unconstrained implant with a variable center of rotation aiming at physiological motion. The objective of this multicenter prospective trial was to evaluate clinical outcome and complications within 2 years.Material and Methods120 patients (72 females and 48 males with a median age of 43.0 years; range: 23 to 60 years) underwent ACDA (ROTAIO®, SIGNUS Medical, Alzenau, Germany) and were prospectively followed for 24 months. Preoperative complaints were mainly associated with radiculopathy (n=104) or myelopathy (n=16). There were 108 monosegmental and 12 bisegmental procedures including 6 hybrid constructs. Clinical outcome was evaluated at 3, 12 and 24 months by the Visual Analogue Scale (VAS) for head, neck and arm pain, the Neck Disability Index (NDI), the Work Limitation Questionnaire (WL-26), the Patient`s Satisfaction Index (PSI) and a Quality of Life Questionnaire (SF-36). The Nurick Score, the Modified Japanese Orthopaedic Association Score (mJOA) plus a Composite Success Rate have been additionally applied. Finally, complications, the patient`s overall satisfaction and the amount of analgesics were assessed. ResultsHighly significant clinical improvements were observed according to NDI and VAS (p<0.0001 (arm); p<0.001 (neck); p=0.002 (head)) at all postoperative time points. Analgetic medication could be reduced after 3 months in 91.3%, after 12 months in 87.1% and after 24 months in 95.2% of patients. Doctor`s visits for cervical spine problems have been reduced in 93.8% after 24 months.Patient`s overall satisfaction was high after 3, 12 and 24 months with 83.5%, 78.4% and 79.1% of patients, while 4.1%, 6.8% and 7.0% respectively were not satisfied. The composite success rate was 77.5% after 12 months and 76.9% after 24 months. There were no major complications in this series. Slight subsidence of the prosthesis was observed in 2 patients and 3 patients demonstrated fusion after 24 months. 2 patients developed symptomatic foraminal stenosis, so that implant removal and fusion was performed.ConclusionThe ROTAIO® cervical disc prosthesis is a safe and efficient treatment option for symptomatic degenerative disc disease demonstrating excellent clinical results at 2 years. Outcome proves to be stable over time with very low revision rates.
Host (dealumination Y zeolite)-guest (substituted heteropolyacid) nanocomposites as an efficient catalyst in the removal of methyl orange
Authors: Moosavifar Maryam , Mavadat Fariba , Avanes Armen 
Published: April 2021

Abstract
Substituted polyoxometal encapsulated into Y zeolite was synthesized with two ratios: H5PMo10W1Ti1O40.XH2O/Y (hereafter designated as SPY-1011, the numbers show the amount of Mo, W, Ti, respectively) and H5PMo1W10Ti1O40.XH2O/Y (hereafter designated as SPY-1101) was synthesized using the template synthesis method. The nanocomposite materials were characterized by XRD, FT-IR, UV-Vis, FESEM, and EDS techniques. The photocatalytic activity of systems was investigated within the photodegradation of methyl orange. The W, Mo, and Ti content of the catalyst was evaluated by the ICP method. The results showed that the photocatalyst performance depends on catalyst loading, pH effect, methyl orange concentration, the type, and the number of substituted species. The chemical oxygen demand (COD) experiment indicated mineralisation of the methyl orange with 83% after 120 min irradiation. The absences of hydrazine during degradation confirmed by the amperometric experiment, in turn, showed methyl orange converted to simple inorganic materials. Photocatalytic degradation of methyl orange follows a pseudo-first-order kinetic.
WITHDRAWN: Reflection of P53 Phenotype in Tumor Tissue by Genotypic Variants in Glutathione S-Transferases: An Association with DNA Damage in Lung Adenocarcinoma
Authors: Pathak Anumesh Kumar , Husain Nuzhat , Shukla Saumya , Kant Surya , Bala Lakshmi 
Published: April 2021

Abstract
Background: Genetic deficiency of glutathione S-transferase (GST) enzymes results in accumulating carcinogens from tobacco smoke. Consequently, the elevated risk of lung carcinoma (LC) is due to increased DNA damage and mutational frequency of the P53 caretaker gene.Objective: To determine GST gene variants association with LUAD susceptibility and the relative risk of these variations developing the P53 mutation and DNA damageMethods: We analyzed genetic polymorphisms in GST-M1 (+/-), T1 (+/-), and P1 (Ile 105 Val) genes using restriction fragment length PCR. The P53 phenotype was categorized as the mutant type (>50% and 2-3 + intensity in IHC) in M1 (+/-), T1 (+/-), and P1 (Ile105Val) variants. Lymphocytic DNA damage was assessed using the comet assay. Results: The M1 (-/-) and P1 Val/Val (GG) genotypes were significantly associated with the risk of the P53 mutant phenotype (RR: 1.81, p=0.03) and (RR: 2.23, p=0.05), respectively. In contrast, GSTT1 was not associated with the P53 phenotype. GSTM1 (-/-)/ GSTP1 Ile/Ile (AA) combined genotypes showed a significant synergistic effect on the P53 phenotype (RR: 8.50, p=0.01). DNA damage was significantly associated with GST-M1 (-/-), T1 (-/-), and P1 Val/Val (GG) genotypes and smoking (p=0.001) as compared to GST-T1 (+/+)/M1 (+/+)/P1 Ile/Ile (AA) genotypes. However, P53 expression was not associated with DNA damage. Conclusion: The GSTM1 (-/-) and GSTT1 (-/-) null genotypes act as risk modifiers for LUAD and increase DNA damage. The GSTM1 (-/-)/ GSTP1 Ile/Ile (AA) combined genotype amplified 8-fold the risk of a P53 mutant phenotype.