bluuebunny/crossref_metadata_2025_split huggingface dataset:
The landscape of immune cell infiltration in the glomerulus of diabetic nephropathy: evidence based on bioinformatics
Authors: ZHOU Wei , LIU Yaoyu , Hu Qinghong , ZHOU Jiuyao , LIN Hua 
Published: September 2022

AbstractBackgroundIncreasing evidence suggests that immune cell infiltration contributes to the pathogenesis and progression of diabetic nephropathy (DN). We aim to unveil the immune infiltration pattern in the glomerulus of DN and provide potential targets for immunotherapy.MethodsInfiltrating percentage of 22 types of immune cell in the glomerulus tissues were estimated by the CIBERSORT algorithm based on three transcriptome datasets mined from the GEO database. Differentially expressed genes (DEGs) were identified by the “limma” package. Then immune-related DEGs were identified by intersecting DEGs with immune-related genes (downloaded from Immport database). The protein–protein interactions of Immune-related DEGs were explored using the STRING database and visualized by Cytoscape. The enrichment analyses for KEGG pathways and GO terms were carried out by the gene set enrichment analysis (GSEA) method.Results11 types of immune cell were revealed to be significantly altered in the glomerulus tissues of DN (Up: B cells memory, T cells gamma delta, NK cells activated, Macrophages.M1, Macrophages M2, Dendritic cells resting, Mast cells resting; Down: B cells naive, NK cells resting, Mast cells activated, Neutrophils). Several pathways related to immune, autophagy and metabolic process were significantly activated. Moreover, 6 hub genes with a medium to strong correlation with renal function (eGFR) were identified (SERPINA3, LTF, C3, PTGDS, EGF and ALB).ConclusionIn the glomerulus of DN, the immune infiltration pattern changed significantly. A complicated and tightly regulated network of immune cells exists in the pathological of DN. The hub genes identified here will facilitate the development of immunotherapy.
Concentrated transdiagnostic and cross-disciplinary group treatment for patients with depression and with anxiety: a pilot study
Authors: Kvale Gerd , Wilhelmsen-Langeland Ane , Jürgensen Marte , Hystad Sigurd William , Öst Lars-Göran , Søfteland Eirik , Børtveit Tore 
Published: September 2022

Abstract
Background
A number of treatment approaches have shown efficacy for depression and/or anxiety, yet there is a paucity of research on potentially cost-effective concentrated approaches. Based on our previous experience with concentrated treatment in disorders such as Obsessive–Compulsive Disorder and chronic fatigue, we proposed that this novel approach could be useful for other conditions, including depression and/or anxiety. As a pre-requisite for a future randomized controlled trial, the aim of this study was to investigate the acceptability, satisfaction and effectiveness of a transdiagnostic, interdisciplinary group treatment delivered during 5 consecutive days to groups of 6–10 patients with depression and/or anxiety.

Methods
This was a non-randomized clinical intervention pilot study in line with a published protocol. Forty-two consecutively referred patients, aged 19–47 (mean age 31.7, SD = 8.12) were included and completed treatment. All had a severity of their problems that entitled them to care in the specialist public mental health care. Self-reported age when the symptoms became a problem was 20.9 years. Mean number of prior treatment courses was 2.77 (SD = 2.19; range 0–8). Acceptability was defined as the proportion of eligible patients who accepted and completed the treatment. Satisfaction was evaluated by Client Satisfaction Questionnaire-8. Secondary objectives were to assess the treatment effectiveness by questionnaires at pre-treatment, seven days post-treatment and three months follow-up.

Results
The treatment was highly acceptable (91.3% accepted, all completed), and patients were highly satisfied with the treatment, including the amount. Functional impairment, as measured by Work and Social Adjustment Scale (WSAS) improved significantly (p < .0005) from “severe” (mean 25.4 SD = 6.59) to “less severe” (mean 13.37, SD = 9.43) at 3 months follow-up. Using the Generalized Anxiety Disorder Scale (GAD-7) and the Patient Health Questionnaire (PHQ-9), the effect sizes at 3 months follow-up were 1.21 for anxiety and 1.3 for depression. More than 80% reported reduced utilization of mental health care, and 67% had not used, or had used the family doctor less, for anxiety or depression. 52% had not used, or had reduced, medication for their disorder.

Conclusions
The concentrated, interdisciplinary treatment approach yielded promising results. Long-term follow up is warranted.

Trial registration
This study is registered in Clinical Trials, identifier NCT05234281 and approval date 09/02/2022.
Light-curing process for clear aligners’ attachment reproduction: comparison between two nanocomposites cured by the auxiliary of a new tool
Authors: Gazzani Francesca , Bellisario Denise , Quadrini Fabrizio , Danesi Carlotta , Alberti Andrea , Cozza Paola , Pavoni Chiara 
Published: September 2022

Abstract
Background
Attachments’ configuration play an important role during Clear Aligner Treatment (CAT) for aligner retention and control of movements planned. The aims were to compare the macroscopic morphology of attachments reproduced with flowable (FNC) and conventional (CNC) composites and the effects on them of two light-guide tips with different dimensions.

Methods
4 resin casts derived from the initial scan of the same patient were obtained. 10 vestibular attachments were replaced on both upper and lower arches of each model with CNC (Models A, B) and FNC (Models C, D). Each composite was cured by means of the same LED lamp with both regular light-guide (Models A, B) and push and light tool® (Models C, D). The 80 attachments were qualitative analyzed by means of a digital stereo microscope. Surface roughness and waviness measurements were assessed by contact probe surface profiler (TalySurf CLI 2000; Taylor Hobson, Leicester, United Kingdom). Statistical analysis was performed with independent samples t-tests. Significance was established at the P < 0.05 level.

Results
Model A showed lower values of surface roughness (Ra − 1.41 µm, Rt − 3.46 µm) and waviness (Wa − 2.36 µm, Wt − 10.95 µm) when compared with Model C. Significant reduction of waviness (Wa − 3.85 µm, Wt − 4.90 µm) was observed on Model B when compared with Model D. Significant increase of roughness and waviness parameters (Ra 3.88 µm, Rt 21.07, Wa 2.89 µm, Wt 14.74 µm) was found when CNC sample (Model A) was cured with regular light-guide tip. Higher values (Ra 2.33 µm, Rt 24.07 µm, Wa 1.67 µm, Wt 20.79 µm) were observed after regular light-guide tips curing on FNC sample (Model C).

Conclusions
CNC resins determine more regular surfaces of attachments profiles. The additional use of a smaller light- guide of the LED push and light tool® allows to improve the macroscopic morphology of the attachments and to maximize light irradiance delivering by enhancing the polymerization process and the integrity of the features during the treatment.
Biocompatibility and antioxidant activity of a novel carrageenan based injectable hydrogel scaffold incorporated with Cissus quadrangularis: an in vitro study
Authors: Sairaman Sruthi , Nivedhitha M. S. , Shrivastava Deepti , Al Onazi Meshal Aber , Algarni Hmoud Ali , Mustafa Mohammed , Alqahtani Ali Robaian , AlQahtani Nouf , Teja Kavalipurapu Venkata , Janani Krishnamachari , Eswaramoorthy Rajalakshmanan , Sudhakar M. P. , Alam Mohammad Khursheed , Srivastava Kumar Chandan 
Published: September 2022

Abstract
Background
Over the past years, polysaccharide-based scaffolds have emerged as the most promising material for tissue engineering. In the present study, carrageenan, an injectable scaffold has been used owing to its advantage and superior property. Cissus quadrangularis, a natural agent was incorporated into the carrageenan scaffold. Therefore, the present study aimed to assess the antioxidant activity and biocompatibility of this novel material.

Methods
The present in vitro study comprised of four study groups each constituting a sample of 15 with a total sample size of sixty (n = 60). The carrageenan hydrogel devoid of Cissus quadrangularis acted as the control group (Group-I). Based on the concentration of aqueous extract of Cissus quadrangularis (10% w/v, 20% w/v and 30% w/v) in carrageenan hydrogel, respective study groups namely II, III and IV were considered. Antioxidant activity was assessed using a 1,1-diphenyl-2-picrylhydrazyl radical scavenging assay, whereas the biocompatibility test was performed using a brine shrimp lethality assay. The microstructure and surface morphology of the hydrogel samples containing different concentrations of Cissus quadrangularis aqueous extract was investigated using SEM. One-way ANOVA with the post hoc tukey test was performed using SPSS software v22.

Results
A significant difference (P < 0.05) in the antioxidant activity was observed among the study groups. Group III reported the highest activity, whereas the control group showed the least antioxidant activity. Additionally, a significant (P < 0.01) drop in the antioxidant activity was observed in group IV when compared with group III. While assessing the biocompatibility, a significant (P < 0.001) dose-dependent increase in biocompatibility was observed with the increasing concentration of aqueous extract of Cissus quadrangularis. SEM analysis in group III showed even distribution throughout the hydrogel although the particles are close and densely arranged. Reduced antioxidant activity in group IV was probably due to clumping of the particles, thus reducing the active surface area.

Conclusion
Keeping the limitations of in vitro study, it can be assumed that a carrageenan based injectable hydrogel scaffold incorporated with 20% w/v Cissus quadrangularis can provide a favourable micro-environment as it is biocompatible and possess better antioxidant property.
Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images
Authors: Hu Ziyang , Cao Dantong , Hu Yanni , Wang Baixin , Zhang Yifan , Tang Rong , Zhuang Jia , Gao Antian , Chen Ying , Lin Zitong 
Published: September 2022

Abstract
Objectives
Evaluating the diagnostic efficiency of deep learning models to diagnose vertical root fracture in vivo on cone-beam CT (CBCT) images.

Materials and methods
The CBCT images of 276 teeth (138 VRF teeth and 138 non-VRF teeth) were enrolled and analyzed retrospectively. The diagnostic results of these teeth were confirmed by two chief radiologists. There were two experimental groups: auto-selection group and manual selection group. A total of 552 regions of interest of teeth were cropped in manual selection group and 1118 regions of interest of teeth were cropped in auto-selection group. Three deep learning networks (ResNet50, VGG19 and DenseNet169) were used for diagnosis (3:1 for training and testing). The diagnostic efficiencies (accuracy, sensitivity, specificity, and area under the curve (AUC)) of three networks were calculated in two experiment groups. Meanwhile, 552 teeth images in manual selection group were diagnosed by a radiologist. The diagnostic efficiencies of the three deep learning network models in two experiment groups and the radiologist were calculated.

Results
In manual selection group, ResNet50 presented highest accuracy and sensitivity for diagnosing VRF teeth. The accuracy, sensitivity, specificity and AUC was 97.8%, 97.0%, 98.5%, and 0.99, the radiologist presented accuracy, sensitivity, and specificity as 95.3%, 96.4 and 94.2%. In auto-selection group, ResNet50 presented highest accuracy and sensitivity for diagnosing VRF teeth, the accuracy, sensitivity, specificity and AUC was 91.4%, 92.1%, 90.7% and 0.96.

Conclusion
In manual selection group, ResNet50 presented higher diagnostic efficiency in diagnosis of in vivo VRF teeth than VGG19, DensenNet169 and radiologist with 2 years of experience. In auto-selection group, Resnet50 also presented higher diagnostic efficiency in diagnosis of in vivo VRF teeth than VGG19 and DensenNet169. This makes it a promising auxiliary diagnostic technique to screen for VRF teeth.
Antidiabetic potential of Lysiphyllum strychnifolium (Craib) A. Schmitz compounds in human intestinal epithelial Caco-2 cells and molecular docking-based approaches
Authors: Noonong Kunwadee , Pranweerapaiboon Kanta , Chaithirayanon Kulathida , Surayarn Kantamat , Ditracha Phicharinee , Changklungmoa Narin , Kueakhai Pornanan , Hiransai Poonsit , Bunluepuech Kingkan 
Published: September 2022

Abstract
Background
Lysiphyllum strychnifolium (Craib) A. Schmitz, a traditional Thai medicinal plant, is mainly composed of polyphenols and flavonoids and exhibits several pharmacological activities, including antioxidant, anticancer, antimicrobial, and antidiabetic activities. However, the mechanism by which pure compounds from L. strychnifolium inhibit glucose catalysis in the small intestine and their effect on the glucose transporter remain unknown.

Methods
The objectives of this research were to examine the effect of 3,5,7-trihydroxychromone-3-O-𝛼-L-rhamnopyranoside (compound 1) and 3,5,7,3’,5’-pentahydroxy-flavanonol-3-O-𝛼-L-rhamnopyranoside (compound 2) on the inhibition of α-amylase and α-glucosidase, as well as glucose transporters, such as sodium-glucose cotransporter 1 (SGLT1), glucose transporter 2 (GLUT2), and glucose transporter 5 (GLUT5), using Caco-2 cells as a model of human intestinal epithelial cells. Additionally, the binding affinity and interaction patterns of compounds against two receptor proteins (SGLT1 and GLUT2) were determined for the first time utilizing a molecular docking approach.

Results
In the α-amylase inhibition assay, a concentration-dependent inhibitory response was observed against the enzyme. The results indicated that compound 1 inhibited α-amylase activity in a manner similar to that of acarbose (which exhibit IC50 values of 3.32 ± 0.30 µg/mL and 2.86 ± 0.10 µg/mL, respectively) in addition to a moderate inhibitory effect for compound 2 (IC50 = 10.15 ± 0.53 µg/mL). Interestingly, compounds 1 and 2 significantly inhibited α-glucosidase and exhibited better inhibition than that of acarbose, with IC50 values of 5.35 ± 1.66 µg/mL, 510.15 ± 1.46 µg/mL, and 736.93 ± 7.02 µg/mL, respectively. Additionally, α-glucosidase activity in the supernatant of the Caco-2 cell monolayer was observed. In comparison to acarbose, compounds 1 and 2 inhibited α-glucosidase activity more effectively in Caco-2 cells without cytotoxicity at a concentration of 62.5 µg/mL. Furthermore, the glucose uptake pathways mediated by SGLT1, GLUT2, and GLUT5- were downregulated in Caco-2 cells treated with compounds 1 and 2. Additionally, molecular modeling studies revealed that compounds 1 and 2 presented high binding activity with SGLT1 and GLUT2.

Conclusion
In summary, our present study was the first to perform molecular docking with compounds present in L. strychnifolium extracts. Our findings indicated that compounds 1 and 2 reduced glucose uptake in Caco-2 cells by decreasing the expression of glucose transporter genes and inhibiting the binding sites of SGLT1 and GLUT2. Therefore, compounds 1 and 2 may be used as functional foods in dietary therapy for postprandial hyperglycemia modulation of type 2 diabetes.
Machine learning algorithms for predicting low birth weight in Ethiopia
Authors: Bekele Wondesen Teshome 
Published: September 2022

Abstract
Background
Birth weight is a significant determinant of the likelihood of survival of an infant. Babies born at low birth weight are 25 times more likely to die than at normal birth weight. Low birth weight (LBW) affects one out of every seven newborns, accounting for about 14.6 percent of the babies born worldwide. Moreover, the prevalence of LBW varies substantially by region, with 7.2 per cent in the developed regions and 13.7 per cent in Africa, respectively. Ethiopia has a large burden of LBW, around half of Africa. These newborns were more likely to die within the first month of birth or to have long-term implications. These are stunted growth, low IQ, overweight or obesity, developing heart disease, diabetes, and early death. Therefore, the ability to predict the LBW is the better preventive measure and indicator of infant health risks.

Method
This study implemented predictive LBW models based on the data obtained from the Ethiopia Demographic and Health Survey 2016. This study was employed to compare and identify the best-suited classifier for predictive classification among Logistic Regression, Decision Tree, Naive Bayes, K-Nearest Neighbor, Random Forest (RF), Support Vector Machine, Gradient Boosting, and Extreme Gradient Boosting.

Results
Data preprocessing is conducted, including data cleaning. The Normal and LBW are the binary target category in this study. The study reveals that RF was the best classifier and predicts LBW with 91.60 percent accuracy, 91.60 percent Recall, 96.80 percent ROC-AUC, 91.60 percent F1 Score, 1.05 percent Hamming loss, and 81.86 percent Jaccard score.

Conclusion
The RF predicted the occurrence of LBW more accurately and effectively than other classifiers in Ethiopia Demographic Health Survey. Gender of the child, marriage to birth interval, mother’s occupation and mother’s age were Ethiopia’s top four critical predictors of low birth weight in Ethiopia.
Factors shaping good and poor nurse-client relationships in maternal and child care: a qualitative study in rural Tanzania
Authors: Isangula Kahabi , Pallangyo Eunice S. , Mbekenga Columba , Ndirangu-Mugo Eunice , Shumba Constance 
Published: September 2022

Abstract
Background
Evidence indicates that poor nurse-client relationships within maternal and child health (MCH) continues to impact trust in formal healthcare systems, service uptake, continuity with care and MCH outcomes. This necessitates contextualized innovative solutions that places both nurses and clients at the forefront as agents of change in optimizing intervention designs and implementation. This study explored nurses and clients’ perspectives on the factors shaping nurse-client relationships in MCH care to generate evidence to guide subsequent steps of human centered design (HCD) that involve designing effective strategies for improving therapeutic relationships in Shinyanga, Tanzania.

Methods
Qualitative descriptive design was employed. About 9 Focus Group Discussions (FGDs) and 12 Key Informant Interviews (KIIs) with purposefully selected nurses and midwives, women attending MCH services and administrators were conducted using semi-structured interview guides in Swahili language. Data were transcribed and translated simultaneously, managed using Nvivo Software and analyzed thematically.

Results
Factors shaping nurse-client relationships were heuristically categorized into nurse, client and health system factors. Nurse contributors of poor relationship ranged from poor reception and hospitality, not expressing care and concern, poor communication and negative attitudes, poor quality of services, job dissatisfaction and unstable mental health. Client contributors of poor relationship include being ‘much know’, late attendance, non-adherence to procedures and instructions, negative attitudes, poor communication, inadequate education and awareness, poverty, dissatisfaction with care, faith in traditional healers and unstable mental health. Health system contributors were inadequate resources, poor management practices, inadequate policy implementation and absence of an independent department or agency for gathering and management of complaints. Suggestions for improving nurse-client relationship included awards and recognition of good nurses, improving complaints mechanisms, continued professional development, peer to peer learning and mentorship, education and sensitization to clients, improving service quality and working conditions, improving renumeration and incentives, strengthening nursing school’s student screening and nursing curriculum and improving mental health for both nurses and clients.

Conclusions
The factors shaping poor nurse- client relationships appear to extend beyond nurses to both clients and healthcare facilities and system. Implementation of effective interventions for addressing identified factors considering feasibility and acceptance to both nurses and clients using novel strategies such as HCD could pave the way for employing good nurse-client relationships as a tool for improving performance indicators and health outcomes within MCH care.
Increased expression of METTL3 in pancreatic cancer tissues associates with poor survival of the patients
Authors: Li Yuan , Huang Hao , Zhu Yulan , Xu Bin , Chen Junjun , Liu Yingting , Zheng Xiao , Chen Lujun 
Published: September 2022

Abstract
Background
Methyltransferase-like 3 (METTL3) expression could be found in various normal and cancerous tissues. As of now, the clinical significance of METTL3 expression in human pancreatic cancer (PC) tissues still remains to be understood. Our present study aims to investigate the prognostic value and clinical implications of METTL3 expression in PC tissues.

Methods
The TCGA, GTEx, and GEO public databases were used to study the mRNA expression level of the m6A family members and its relationship among PC tissues and normal pancreatic tissue. The immunohistochemistry was used to analyze the difference of METTL3 expression between cancer tissues and adjacent normal tissues. The prognostic value was evaluated by using the Log-rank survival analysis and Cox model analysis. PAAD samples from TCGA and GEO databases were used to perform the immune infiltration analysis and gene set enrichment analysis based on the genes that were highly correlated with METTL3.

Results
Based on the analysis of TCGA, GTEx, and GEO public database, we found that the m6A family members showed a higher correlation in PC tissues compared to normal pancreatic tissues, and the mRNA expression level of the m6A family members showed a significant difference between PC tissues and adjacent normal tissues. Moreover, scRNA-seq data indicated that METTL3 showed a higher expression level in malignant epithelial cells. Our immunohistochemistry results also confirmed that the intensity of METTL3 immunostaining in PC tissues was significantly higher than that in adjacent normal tissues (P = 0.015). The overall survival (OS) of PC patients with high expression of METTL3 protein were significantly poorer than those with low expression of METTL3 protein (HR = 1.788, 95% CI 1.071–2.984, P = 0.026). Further analysis of PC data from the database showed that METTL3 expression was associated with a variety of tumor-infiltrating immune cells and was involved in m6A modification and metabolism in PC tissues.

Conclusion
Increased METTL3 expression at the protein level could be found in PC tissues, suggesting that the METTL3 expression was involved in the progression of PC and could serve as an important marker for prognostic prediction of this malignancy.