bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research progress on meibomian gland dysfunction from 2011 to 2020: a bibliometric and visualized analysis
Authors: Liu Qian , Zhao Fangkun , Kong Jun 
Published: September 2021

Abstract
Background
To explore the research areas, hotspots, and progress of meibomian gland dysfunction through bibliometrics.
Methods
Related publications were retrieved from the Web of Science Core Collection from 2011 to 2020. VOSviewer1.6.16, Citespace.5.7.R2, and GraphPad Prism 8 were used to visualize the distribution of countries, research institutions, journals, authors, keywords, and annual publication numbers in this field.
Results
A total number of 716 relevant publications were retrieved. The United States and Keio University ranked the first among the countries and organizations with the most publications. Cornea, Investigative Ophthalmology & Visual Science, and Ocular Surface were the top three journals with the highest publication counts and citations. The authors who contributed to this topic mainly formed three clusters which manifested the research areas, and the extracted keywords mainly formed four clusters which manifested the hotspots were explored.
Conclusions
The research areas and hotspots of meibomian gland dysfunction were as follow: (1) Pathogenesis or potential etiology of meibomian gland dysfunction; (2) Diagnosis of meibomian gland dysfunction; (3) Therapy of meibomian gland dysfunction and the International Workshop`s dedication to it; (4) Epidemiology of meibomian gland dysfunction.
Exploration of the regulatory mechanism for hepatocellular carcinoma based on ceRNA networks analysis and immune infiltration
Authors: Huang Ning , Chen Qiang , Wang Xiaoyi 
Published: September 2021

Abstract
Background

Hepatocellular carcinoma (HCC) as malignant cancer has been deeply investigated for its widespread distribution and extremely high mortality rate worldwide. Despite efforts to understand the regulatory mechanism in HCC, it remains largely unknown.
Methods

The RNA (mRNAs, lncRNAs, and miRNAs) profiles were downloaded from The Cancer Genome Atlas (TCGA) database. Based on the Weighted Gene Co-expression Network Analysis (WGCNA), the hub differentially expressed RNAs (DERNAs) were screened out. The competing endogenous RNA (ceRNA) and Protein and Protein Interaction (PPI) network were constructed based on the hub DERNAs. The Cox and LASSO regression analysis were used to find the independent prognostic ceRNAs. We performed the “CIBERSORT” algorithm estimate the abundance of immune cells. The correlation analysis was applied to determine the relationship between HCC-related immune cells and prognostic ceRNAs. GEPIA and TIMER database were used to explore the association of critical genes with survival and immune cell infiltration, respectively.
Results

A total of 524 hub RNAs (507 DEmRNAs, 13 DElncRNAs and 4 DEmiRNAs) were identified in the turquoise module (cor = 0.78, P = 4.7e − 198) using WGCNA algorithm. PPI network analysis showed that NDC80, BUB1B and CCNB2 as the critical genes in HCC. Subsequently, survival analysis revealed that the low expression of NDC80 and BUB1B resulted in a longer overall survival (OS) time for HCC patients in GEPIA database. These critical genes and several immune cells were all significantly positive correlated in TIMER database. The ceRNA network were establish, and were incorporated to risk model. Subsequently, ROC curve showed that the area under the curve (AUC) of the 1-, 3-, and 5-year were 0.762, 0.705, and 0.688, respectively. Out of the 22 cell types, T cells CD4 memory resting were identified as the HCC-related immune cells by systematic analysis. The correlation analysis shown that T cells CD4 memory resting is negatively associated with both AL021453.1 (R = − 0.44, P = 0.00049) and CCDC137 (R = − 0.47, P = 2e-04).
Conclusion

The current study provide potential prognostic signatures and therapeutic targets for HCC.
Strategies for ear elevation and the treatment of relevant complications in autologous cartilage microtia reconstruction
Authors: Xu Zhicheng , Li Yiyuan , Li Datao , Zhang Ruhong , Zhang Qun , Xu Feng , Chen Xia 
Published: September 2021

Abstract
Despite various surgical techniques for ear elevation in autogenous cartilage microtia reconstruction, it is still challenging for plastic surgeons to obtain a satisfactory depth of the cephaloauricular sulcus and stable projection of the reconstructed ear. Here, the authors demonstrate individualized options for surgical approaches and relevant details for complication management. Between January 2014 and June 2020, a series of 895 patients who underwent the second stage of microtia reconstruction were reviewed. Complications occurred in 103 patients aged between 8 and 34 years. Recommended surgical selections, as well as appropriate strategies for complication prophylaxis and treatment, were shown to minimize the negative influence on the contour of the cephaloauricular sulcus according to individual conditions. We found that 78% of the patients were satisfied with the auricle contour with harmonious integrity. Individualized strategies for ear elevation and complication treatment contribute to symmetry and satisfactory projection of the reconstructed auricle.
Association of hepatitis B virus infection and allergy with the risk of gastrointestinal cancer
Authors: ZHOU Xi , WANG W.H , Shao Tianbo , ZHOU Zhen , Liu Dajin , Pan Guoqing , Li Jingyi 
Published: September 2021

Abstract
Purpose

To investigate the association of hepatitis B virus infection and allergy with gastrointestinal carcinogenesis, to provide a basis for risk factor identification among gastrointestinal cancer(GICA) risk populations, and for studies concerning the CICA etiology.
Methods

Clinical data of 2,375 GICA patients hospitalized from 2009 to 2020 were retrospectively analyzed, with 48,496 non-oncologic patients in the departments of psychiatry, neurology and cardiology as controls, totaling 50,871 patients. The data were processed using R software and SPSS22.0 for 1:4 propensity score matching.
Results

Overall, HBsAg positivity rate was 3.3% for 50,871 patients. A total of 11,872 patients completed the 1:4 propensity score matching, including 2,375 patients with GICA and 9,497 controls. HBsAg positivity was 4.5% in the GICA group and 3.2% in the control group, showing a significant inter-group difference (P = 0.002, OR = 1.427, 95% CI: 1.138–1.789). The incidence of GICA among patients with a history of allergies was significantly lower at 5.9% (139/2352) than among those without such history at 17.1% (4,592/26,785), also showing a significant inter-group difference (P < 0.001, OR = 3.294, 95% CI: 2.767–3.921). Besides, the incidence of allergies among HBsAb-positive patients was 9.0% (923/10,246), which was high than that among HBsAb-negative patients 7.6% (732/9,591), with a significant inter-group difference between the two groups (P < 0.001).
Conclusion

HBV infection is positively associated with gastrointestinal carcinogenesis. HBsAb positivity is also positively correlated with allergy, while allergy is negatively correlated with gastrointestinal carcinogenesis. The exact mechanism underlying these associations deserves further clarification. In addition, HBsAg positivity rate in Southwest China is approximately 3.3%.
Focal adhesion kinase inhibitor TAE226 combined with Sorafenib slows down hepatocellular carcinoma by multiple epigenetics effects
Authors: Romito Ilaria , Porru Manuela , Braghini Maria Rita , Pompili Luca , Panera Nadia , Crudele Annalisa , Gnani Daniela , De Stefanis Cristiano , Scarsella Marco , Pomella Silvia , Mortera Stefano Levi , de Billy Emmanuel , Conti Libenzio Adrian , Marzano Valeria , Putignani Lorenza , Vinciguerra Manlio , Balsano Clara , Pastore Anna , Rota Rossella , Tartaglia Marco , Leonetti Carlo , Alisi Anna 
Published: September 2021

Abstract
Background

Hepatocellular carcinoma (HCC) is one of the most common and lethal malignant tumours worldwide. Sorafenib (SOR) is one of the most effective single-drug systemic therapy against advanced HCC, but the identification of novel combination regimens for a continued improvement in overall survival is a big challenge. Recent studies highlighted the crucial role of focal adhesion kinase (FAK) in HCC growth. The aim of this study was to investigate the antitumor effects of three different FAK inhibitors, alone or in combination with SOR, using in vitro and in vivo models of HCC.
Methods

The effect of PND1186, PF431396, TAE226 on cell viability was compared to SOR. Among them TAE226, emerging as the most effective FAKi, was then tested alone or in combination with SOR using 2D/3D human HCC cell line cultures and HCC xenograft murine models. The mechanisms of action were assessed by gene/protein expression and imaging approaches, combined with high-throughput methods.
Results

TAE226 emerged as the more effective FAKi to be combined with SOR against HCC. Combined TAE226 and SOR treatment reduced HCC growth both in vitro and in vivo by affecting tumour-promoting gene expression and inducing epigenetic changes via dysregulation of the nuclear interactome of FAK. We characterized a novel nuclear functional interaction between FAK and the NuRD complex. TAE226-mediated FAK depletion and SOR-promoted MAPK down-modulation causing an increase of histone H3 lysine 27 acetylation, counteracting its trimethylation by decreasing the nuclear amount of HDAC1/2.
Conclusions

Altogether, our findings provide the first evidence that TAE226 combined with SOR efficiently reduce HCC growth in vitro and in vivo. Our data also highlight that deep analysis of FAK nuclear interactome may lead to the identification of new promising therapeutic approaches for HCC.
CLEC10A is A Prognostic Biomarker and is Correlated with Immune Infiltrates in Breast Cancer
Authors: Tang Shasha , Zhang Yi , Lin Xiaoyan , Cen Chunmei , Yong Liyun , Zhang Hongyi , Cai Fengfeng 
Published: September 2021

Abstract
Background

To investigate the association between CLEC10A and prognosis in breast cancer (BC) patients.
Methods

We assessed the prognostic value of CLEC10A in BC using data from The Cancer Genome Atlas (TCGA) online database. We examined CLEC10A expression differences in BC and normal tissues via the TIMER and UALCAN databases. Then, we used the Kaplan-Meier plotter database to evaluate the correlation of CLEC10A mRNA levels with clinical outcomes. Subsequently, the TIMER platform and TISIDB website were used to assess the correlation of CLEC10A with the tumor immune cell infiltration level in BC.
Results

Our results showed that CLEC10A levels were significantly downregulated in BC tissues compared with normal tissues. CLEC10A expression was associated with histologic type, pathologic stage, T stage, Her2 status and a poor prognosis. Additionally, CLEC10A was positively related to the level of different tumor-infiltrating immune cells in BC, and CLEC10A was closely correlated with the gene markers of diverse immune cells. Additionally, low CLEC10A expression predicted a poor prognosis in BC patients grouped based on immune cell infiltration levels.
Conclusion

CLEC10A may be a potential biomarker and may efficiently predict prognosis in BC patients.
Changes and clinical significance of invariant natural killer T cells and their subsets in newly diagnosed type 1 diabetic patients
Authors: Guo Hui , Tian Shuci , Gao Lichao 
Published: September 2021

Abstract
Objective:The aim of this study was to investigate the changes and clinical significance of the invariant natural killer T(iNKT) cells and their subsets in peripheral blood of newly diagnosed type 1 diabetic patients. Methods: 23 newly diagnosed type 1 diabetic patients and 17 healthy volunteers(from 2015 to 2019)were collected. Peripheral blood mononuclear cells (PBMC) were isolated by FICOII method, the ratio of main cell subsets of PBMC was determined by Flow cytometry. The changes of iNKT cells and their subsets (CD4 + , CD4-CD8-, CD8 + , CD4 + CD8 +) in peripheral blood as well as their correlation with clinical indexes were monitored. Results: Compared with the healthy group, the absolute TCRVβ11+iNKT cell number in the peripheral blood of newly diagnosed type 1 diabetic patients (p=0.03) was significantly higher. The absolute CD4+TCRVβ11iNKT cell number (p=0.00) , CD4+TCRVα24 +iNKT cells (p=0.01) , CD4+TCRVα24J18 +iNKT cells (p=0.00) ,CD8+TCRVβ11+iNKT cells(p=0.021) and CD4+CD8+ TCRVα24+iNKT cells (p=0.002) were significantly increased. The absolute CD4-CD8-TCRVα24+iNKT cell number (p=0.030) in T1DM patients was significantly lower than that in HC. In newly diagnosed type 1 diabetic patients, the absolute CD4+TCRVβ11+iNKT cell number was negatively correlated with BMI (p=0.001, r=-0.492) , and the absolute CD4+TCRVα24+iNKT cell number was negatively correlated with BMI (p=0.014, r=-0.387) , the absolute CD4+TCRVα24J18+iNKT cell number was negatively correlated with BMI (p=0.010, r=-0.402) and positively correlated with glycated hemoglobin (P=0.048, r=0.417). The absolute CD4+CD8+TCRVα24+iNKT cell number was positively correlated with 30 minutes and 1 hour postprandial C-peptide(p= 0.002, r=0.664; p= 0.002, r = 0.669) . Conclusion: Our data indicated a higher absolute iNKT cell number in T1DM patients compared with that in healthy patients, and was accompanied by changes in the number of cell subsets. The immune dysfunction mediated by iNKT cells may associate with the development of type 1 diabetes.
Efficient Prediction of Temperature-dependent Elastic and Mechanical Properties of 2D Materials
Authors: Ekuma Chinedu , Liu Z , Kastuar Srihari 
Published: September 2021

Abstract
An efficient automated toolkit for predicting the mechanical properties of materials can accelerate new materials design and discovery; this process often involves screening large configurational space in high-throughput calculations. Herein, we present the ElasTool toolkit for these applications. In particular, we use the ElasTool to study diversity of 2D materials and heterostructures, including their temperature-dependent mechanical properties and developed a machine learning algorithm for exploring predicted properties.
Assessment of air quality during worst wildfires in Turkey
Authors: Tariq Salman , ul-Haq Zia , Mariam Ayesha , Mehmood Usman , Ahmed Waseem 
Published: September 2021

Abstract
Recently, a worse and large-scale forest fire broke out across Turkey, which adversely affected the country’s air quality level and caused a tremendous loss. Mugla and Antalya cities were the hot spot areas of this fire that experience adverse effects. In this paper, we examined and compare the air pollution scenario before and during the forest fire episode i.e., from 27 July to 10 August 2021 in Antalya and Mugla. The results show that before the fire accusation, i.e., on 27 July, the daily mean aerosol optical depth (AOD), was 0.1 indicates a clear sky. However, as the fire breakouts on 28 July, this daily mean AOD value increased too rapidly and reached 0.52 on 6 August, indicating intense air pollution. The highest AOD was 2.2 over northern Marmaris, Ula, southeastern Milas, Mugla Merkezon on 5 August 2021. The results show that peak fire activity occurred during 4–8 August. Meanwhile, the highest NO2 concentration was 167 µmol/m2 over mid-east Merkez and Köycegiz. The peak HCHO load was 750 µmol/m2 over southern Mugla city. Moreover, Mugla and central Antalya cities experienced the highest O3 concentrations of 0.14 µmol/m2. Similarly, at the Junction of Dalaman, Köycegiz, and Ortaca, peak CO (0.08 mol/m2) and AI (3.5) had been observed. The high-altitude smoke was over Mugla city. Whereas, over Antalya, mixed aerosols had dominant, followed by smoke, dust, non-smoke fine mode, and fine dominated aerosols.
CSDVP: Compressed Sensing for Drug-Virus Prediction
Authors: Besharatifard Milad , Gharagozlou Arshia 
Published: September 2021

Abstract
The 2019 Coronavirus (COVID-19) epidemic has recently hit most countries hard. Therefore, many researchers around the world are looking for a way to control this virus. Examining existing medications and using them to prevent this epidemic can be helpful. Drug repositioning solutions can be effective because designing and discovering a drug can be very time-consuming. Although no drug has been definitively approved for the treatment of this disease, the effectiveness of a few drugs for the treatment of the disease has been observed. In this study, with the help of computational matrix factorization methods, the associations between drugs and viruses have been predicted. By combining the similarities between the drugs and the similarities between the viruses and using the compressed sensing technique, we investigated the association between the drug and the virus. The Compressed Sensing approach to Drug-Virus Prediction (CSDVP) can work well. We compared the proposed method with other methods in this field and found its accuracy is more desirable than other methods. In fact, the CSDVP approach with the HDVD dataset and evaluation through 5-fold CV, with AUC = 0.96 and AUPR = 0.85, can identify the relationship between drugs and viruses. We also investigated the effect of drug properties on model performance improvement using autoencoder. Thus, with each decrease in the size of the characteristics in different sizes, we examined the performance of the CSDVP model in predicting the drug-virus relationship. The relationship between drugs and coronavirus infection is also analyzed, and the results are presented.
Research Progress on Dipeptidyl Peptidase Family: Structure, Function
and Xenobiotic Metabolism
Authors: Qian Xing-Kai , Zhang Jing , Li Xiao-Dong , Song Pei-Fang , Zou Li-Wei 
Published: September 2021

Abstract:
Prolyl-specific peptidases or proteases, including Dipeptidyl Peptidase 2, 4, 6,
8, 9, 10, Fibroblast Activation Protein, prolyl endopeptidase, and prolyl carboxypeptidase,
belong to the dipeptidyl peptidase family. In human physiology and anatomy, they have
homology amino acid sequences and similarities in the structure; however, they have distinct
functions and play different roles. Some of them also play important roles in the metabolism
of drugs containing endogenous peptides, xenobiotics containing peptides, and
exogenous peptides. The major functions of these peptidases in both the metabolism of
human health and bioactive peptides are of significant importance in the development of
effective inhibitors to control the metabolism of endogenous bioactive peptides. The
structural characteristics, distribution of tissue, endogenous substrates, and biological
functions were summarized in this review. Furthermore, the xenobiotics metabolism of
the dipeptidyl peptidase family is illustrated. All the evidence and information summarized
in this review would be very useful for researchers to extend the understanding of
the proteins of these families and offer advice and assistance in physiology and pathology
studies.
Peptidoglycan Deacetylases in Bacterial Cell Wall Remodeling and
Pathogenesis
Authors: Planas Antoni 
Published: September 2021

Abstract:
The bacterial cell wall peptidoglycan (PG) is a dynamic structure that is constantly
synthesized, re-modeled and degraded during bacterial division and growth. Postsynthetic
modifications modulate the action of endogenous autolysis during PG lysis and
remodeling for growth and sporulation, but also they are a mechanism used by pathogenic
bacteria to evade the host innate immune system. Modifications of the glycan backbone
are limited to the C-2 amine and C-6 hydroxyl moieties of either GlcNAc or MurNAc residues.
This paper reviews the functional roles and properties of peptidoglycan de-Nacetylases
(distinct PG GlcNAc and MurNAc deacetylases) and recent progress through
genetic studies and biochemical characterization to elucidate their mechanism of action,
3D structures, substrate specificities and biological functions. Since they are virulence
factors in pathogenic bacteria, peptidoglycan deacetylases are potential targets for the design
of novel antimicrobial agents.
Implantable Microfluidic Device: An Epoch of Technology
Authors: Joseph Abey , Rajendran Arivazhagan , Karthikeyan Akash , Nair Baiju G. 
Published: September 2021

:Implantable microfluidic devices are milestones in developing devices that can measure parameters like ocular pressure and blood glucose level or deliver various components for therapeutic needs or behavioral modification. Researchers are currently focusing on the miniaturization of almost all its tools for a better healthcare platform. Implantable microfluidic devices are a combination of various systems including, but not limited to, microfluidic platforms, reservoirs, sensors, and actuators, implanted inside the body of a living entity (in vivo) with the purpose of directly or indirectly helping the entity. It is a multidisciplinary approach with immense potential in the area of the biomedical field. Significant resources are utilized for the research and development of these devices for various applications. The induction of an implantable microfluidic device into an animal would enable us to measure the responses without any repeated invasive procedures. Such data would help in the development of a better drug delivery profile. Implantable microfluidic devices with reservoirs deliver specific chemical or biological products to treat situations like cancers and diabetes. They can also deliver fluorophores for specific imaging inside the body. Implantable microfluidic devices help provide a microenvironment for various cell differentiation procedures. These devices know no boundaries, and this article reviews these devices based on their design and applications.
A Prognostic Nomogram for Predicting Overall Survival in Pediatric
Wilms Tumor Based on an Autophagy-related Gene Signature
Authors: Han Shasha , Liu Guosheng , He Longkai , Wang Xiaotong , Jin Ya , Xu Weipeng , Lyu Jun , Guan Yi , Wu Jingchao 
Published: September 2021

Background:
Wilms Tumor (WT) is the most common primary renal malignancy in
children. Autophagy plays dual roles in the promotion and suppression of various cancers.

Objective:
The goal of our study was to develop a novel autophagy-related gene (ARG) prognostic
nomogram for WT.

Methods:
The Cancer Genome Atlas (TCGA) database was used. We screened the expression
profiles of ARGs in 136 WT patients. The differentially expressed prognostic ARGs were
evaluated by multivariate Cox regression analysis and survival analysis. A novel prognostic
nomogram based on the ARGs and clinical characteristics was established using multivariate Cox
regression analysis.

Results:
First, 69 differentially expressed ARGs were identified in WT patients. Then, multivariate
Cox regression analysis was used to determine 4 key prognostic ARGs (CC3CL1, ERBB2, HIF-α
and CXCR4) in WT. According to their ARG expression levels, the patients were clustered into
high- and low-risk groups. Next, survival analysis indicated that high-risk patients had significantly
poorer overall survival than low-risk patients. The results of functional enrichment analysis
suggested that autophagy may play a tumor-suppressive role in the initiation of WT. Finally, a
prognostic nomogram with a Harrell's concordance index (C-index) of 0.841 was used to predict
the survival probability of WT patients by integrating clinical characteristics and the 4-ARG
signature. The calibration curve indicated its excellent predictive performance.

Conclusion:
In summary, the ARG signature could be a promising biomarker for monitoring the
outcomes of WT. We established a novel nomogram based on the ARG signature, which
accurately predicts the overall survival of WT patients.