bluuebunny/crossref_metadata_2025_split huggingface dataset:
HUBUNGAN DUKUNGAN SUAMI DENGAN KECEMASAN IBU HAMIL PADA KUNJUNGAN ANTENTAL CARE DI MASA PANDEMI COVID-19 DI PUSKESMAS PARIT TIMUR TAHUN 2022
Authors: Megalina Limoy, Ivan Harwin Utama, Herlina Pina Katarina Iit, 
Published: November 2022

Pandemi covid-19 merupakan ancaman luar biasa yang terjadi secara global. Selama pandemi virus corona seperti saat ini banyak ibu yang khawatir jika dirinya hamil. Berdasarkan study pendahuluan dilakukan wawancara pada 10 ibu hamil, 10 ibu hamil mengatakan bahwa suaminya mendukung dan 8 ibu hamil mengatakan tidak cemas dan 2 ibu hamil mengatakan cemas saat melakukan kunjungan antenatal care pada masa pandemic covid-19. Tujuan dari penelitian ini adalah untuk mengetahui apakah ada hubungan antara dukungan suami dengan kecemasan ibu hamil pada kunjungan antenatal care di masa pandemic covid-19 di puskesmas parit timur tahun 2022. Metode penelitian ini mengunakan dekskritif korelari dengan pendekatan Cross sectional. Populasi dalam penelitian ini adalah seluruh ibu hamil yang aktif mengunjungi Puskesmas Parit Timur bulan Agustus 2022. Sampel dalam populasi ini adalah Accidental sampling mengunakan kuisoner. Hasil Penelitian menunjukan bahwa hampir seluruh responden yaitu 26 (87%) responden sesuai standar dalam kunjungan ANC dan sangat sedikit responden yaitu 4 (13%) responden tidak sesuai standar dalam kunjungan ANC. Ada hubungan antara dukungan suami dengan kunjugan ANC (p=0,000), ada hubungan antara kecemasan dengan kunjungan ANC (P= 0,004). Berdasarkan hasil penelitian dapat di simpulkan bahwa ada hubungan antara dukungan suami dengan kecemasan ibu hamil dalam kunjungan antenatal care di masa pandemic covid-19. Saran untuk puskesmas parit timur di harapkan bagi pihak puskesmas tetap mempertahankan semua fasilitas kesehatan agar asuhan yang diberikan kepada ibu hamil dapat tercapai secara menyeluruh dan terus memerikan informasi tentang covid-19 yang lengakap dan jelas.
Do we need to change our perspective about gut biomarkers? A public data mining approach to identify differentially abundant bacteria in intestinal inflammatory diseases
Authors: Vega Laura , Bohórquez Laura , Ramírez Juan David , Muñoz Marina 
Published: November 2022

IntroductionThe gut microbiome is involved in multiple processes that influence host physiology, and therefore, disruptions in microbiome homeostasis have been linked to diseases or secondary infections. Given the importance of the microbiome and the communities of microorganisms that compose it (microbiota), the term biomarkers were coined, which are bacteria correlated with disease states, diets, and the lifestyle of the host. However, a large field in the study of intestinal biomarkers remains unexplored because the bacterial communities associated with a given disease state have not been exactly defined yet.MethodsHere, we analyzed public data of studies focused on describing the intestinal microbiota of patients with some intestinal inflammatory diseases together with their respective controls. With these analyses, we aimed to identify differentially abundant bacteria between the subjects with the disease and their controls.ResultsWe found that frequently reported bacteria such as Fusobacterium, Streptococcus, and Escherichia/Shigella were differentially abundant between the groups, with a higher abundance mostly in patients with the disease in contrast with their controls. On the other hand, we also identified potentially beneficial bacteria such as Faecalibacterium and Phascolarctobacterium, with a higher abundance in control patients.DiscussionOur results of the differentially abundant bacteria contrast with what was already reported in previous studies on certain inflammatory diseases, but we highlight the importance of considering more comprehensive approaches to redefine or expand the definition of biomarkers. For instance, the intra-taxa diversity within a bacterial community must be considered, as well as environmental and genetic factors of the host, and even consider a functional validation of these biomarkers through in vivo and in vitro approaches. With the above, these key bacterial communities in the intestinal microbiota may have potential as next-generation probiotics or may be functional for the design of specific therapies in certain intestinal diseases.
Narrative update of clinical trials with antihypertensive drugs in children and adolescents
Authors: Redon Josep , Seeman Tomas , Pall Dénes , Suurorg Lagle , Kamperis Konstantinos , Erdine Serap , Wühl Elke , Mancia Giuseppe 
Published: November 2022

IntroductionTo date, our knowledge on antihypertensive pharmacological treatment in children and adolescents is still limited because there are few randomized clinical trials (CTs), hampering appropriate management. The objective was to perform a narrative review of the most relevant aspects of clinical trials carried out in primary and secondary hypertension.MethodsStudies published in PubMed with the following descriptors: clinical trial, antihypertensive drug, children, adolescents were selected. A previous Cochrane review of 21 randomized CTs pointed out the difficulty that statistical analysis could not assess heterogeneity because there were not enough data. A more recent meta-analysis, that applied more stringent inclusion criteria and selected 13 CTs, also concluded that heterogeneity, small sample size, and short follow-up time, as well as the absence of studies comparing drugs of different classes, limit the utility.ResultsIn the presented narrative review, including 30 studies, there is a paucity of CTs focusing only on children with primary or secondary, mainly renoparenchymal, hypertension. In trials on angiotensin converting enzyme inhibitors (ACEI), angiotensin receptor blockers (ARBs), calcium channel blockers (CCBs) and diuretics, a significant reduction of both SBP and DBP in mixed cohorts of children with primary and secondary hypertension was achieved. However, few studies assessed the effect of antihypertensive drugs on hypertensive organ damage.ConclusionsGiven the increasing prevalence and undertreatment of hypertension in this age group, innovative solutions including new design, such as ‘n-of-1', and optimizing the use of digital health technologies could provide more precise and faster information about the efficacy of each antihypertensive drug class and the potential benefits according to patient characteristics.
Plasma desmosine for prediction of outcomes after acute myocardial infarction
Authors: Ali Kashan , Israr Muhammad Zubair , Ng Leong L. , Mordi Ify , Lang Chim C. , Kuzmanova Elena , Huang Jeffrey T-J , Choy Anna-Maria 
Published: November 2022

BackgroundElastin degradation is implicated in the pathology of vulnerable plaque. Recent studies show promising results for plasma desmosine (pDES), an elastin-specific degradation product, as a marker of cardiovascular disease (CVD) outcomes. The aim of this study was to investigate the potential role of pDES as a marker of clinical outcome in patients with acute myocardial infarction (AMI).Materials and methodsIn this case-control study, we studied 236 AMI patients: 79 patients who had death and/or myocardial infarction (MI) at 2 years, and 157 patients who did not have an event at 2 years. pDES was measured using a validated liquid chromatography-tandem mass spectrometry method. Association of pDES with adverse outcomes, and the incremental value of pDES to global registry of acute coronary events (GRACE) score for risk stratification was assessed.ResultspDES levels were elevated in patients with the composite outcome of death/MI at 2 years (p = 0.002). Logistic regression analyses showed pDES to be associated with death/MI at 2 years [Odds ratio (OR) 5.99 (95% CI 1.81–19.86) p = 0.003]. pDES remained a significant predictor of death/MI at 2 years even after adjustment for age, sex, history of CVD, revascularisation, blood pressure, medications on discharge, Troponin I, and NT-proBNP levels.[OR 5.60 (95% CI 1.04–30.04) p = 0.044]. In another multivariable model including adjustment for eGFR, pDES was significantly associated with the composite outcome at 6 months, but not at 2 years follow up. DES was also able to reclassify risk stratification for death/MI at 6 months, when added to the GRACE risk model [Net Reclassification Index (NRI) 41.2 (95% CI 12.0–70.4) p = 0.006].ConclusionpDES concentrations predict clinical outcomes in patients with AMI, demonstrating its potential role as a prognostic marker in AMI.
A data-driven artificial neural network model for the prediction of ground motion from induced seismicity: The case of The Geysers geothermal field
Authors: Prezioso Edoardo , Sharma Nitin , Piccialli Francesco , Convertito Vincenzo 
Published: November 2022

Ground-motion models have gained foremost attention during recent years for being capable of predicting ground-motion intensity levels for future seismic scenarios. They are a key element for estimating seismic hazard and always demand timely refinement in order to improve the reliability of seismic hazard maps. In the present study, we propose a ground motion prediction model for induced earthquakes recorded in The Geysers geothermal area. We use a fully connected data-driven artificial neural network (ANN) model to fit ground motion parameters. Especially, we used data from 212 earthquakes recorded at 29 stations of the Berkeley–Geysers network between September 2009 and November 2010. The magnitude range is 1.3 and 3.3 moment magnitude (Mw), whereas the hypocentral distance range is between 0.5 and 20 km. The ground motions are predicted in terms of peak ground acceleration (PGA), peak ground velocity (PGV), and 5% damped spectral acceleration (SA) at T=0.2, 0.5, and 1 s. The predicted values from our deep learning model are compared with observed data and the predictions made by empirical ground motion prediction equations developed bySharma et al. (2013)for the same data set by using the nonlinear mixed-effect (NLME) regression technique. For validation of the approach, we compared the models on a separate data made of 25 earthquakes in the same region, with magnitudes ranging between 1.0 and 3.1 and hypocentral distances ranging between 1.2 and 15.5 km, with the ANN model providing a 3% improvement compared to the baseline GMM model. The results obtained in the present study show a moderate improvement in ground motion predictions and unravel modeling features that were not taken into account by the empirical model. The comparison is measured in terms of both theR2statistic and the total standard deviation, together with inter-event and intra-event components.
Finnish teachers’ and students’ programming motivation and their role in teaching and learning computational thinking
Authors: Fagerlund Janne , Leino Kaisa , Kiuru Noona , Niilo-Rämä Mikko 
Published: November 2022

IntroductionDespite the growing importance of teaching and learning computational thinking (CT) through programming in schools, research has shown major individual differences in teachers’ instruction emphasis and students’ skills in these topics.ObjectiveThis study aims to shed further light on the role that teachers’ and students’ programming motivation plays in CT.MethodsThe topic is approached from the viewpoint of the self-determination theory, which can help to understand teachers’ instruction and students’ learning. Our sample consisted of Finnish Grade 8 teachers (N = 1,853) and students (N = 2,546) who participated in the International Computer and Information Literacy Study (ICILS) in 2018. Focusing on teachers’ CT instruction emphasis, students’ CT test scores, and the Intrinsic Motivation Inventory, we investigate (1) distributions of teachers’ and students’ responses to intrinsic and extrinsic programming motivation questions, (2) associations between teachers’ and students’ programming motivation and their background factors, and (3) associations between programming motivation and teachers’ CT instruction emphasis and students’ CT test scores. The data was analyzed by examining descriptive statistics, computing mean differences and correlation coefficients and by performing (multiple) linear regression models.ResultsThe results showed that teachers had high extrinsic programming motivation, but the extent of their intrinsic programming motivation varied widely based on their prior programming teaching experience, subject taught, and gender. Students, in turn, reported both high intrinsic and extrinsic motivation toward programming, but boys were generally more motivated for programming than girls. High programming motivation was moderately related to teachers’ higher CT instruction emphasis and students’ higher CT test scores.ConclusionThe findings give a strong incentive to pay attention to increasing especially girls’ programming motivation and providing teachers with positive CT experiences relevant to their subject and with a particular objective to increase intrinsic motivation especially among teachers who lack prior programming teaching experience and interest in the topic.
Identification of a novel AIFM1 variant from a Chinese family with auditory neuropathy
Authors: Wang Rongrong , Bai Xiaohui , Yang Huiming , Ma Jingyu , Yu Shudong , Lu Zhiming 
Published: November 2022

Background: Auditory neuropathy (AN) is a specific type of hearing loss characterized by impaired language comprehension. Apoptosis inducing factor mitochondrion associated 1 (AIFM1) is the most common gene associated with late-onset AN. In this study, we aimed to screen the pathogenic variant of AIFM1 in a Chinese family with AN and to explore the molecular mechanism underlying the function of such variant in the development of AN.Methods: One patient with AN and eight unaffected individuals from a Chinese family were enrolled in this study. A comprehensive clinical evaluation was performed on all participants. A targeted next-generation sequencing (NGS) analysis of a total of 406 known deafness genes was performed to screen the potential pathogenic variants in the proband. Sanger sequencing was used to confirm the variants identified in all participants. The pathogenicity of variant was predicted by bioinformatics analysis. Immunofluorescence and Western blot analyses were performed to evaluate the subcellular distribution and expression of the wild type (WT) and mutant AIFM1 proteins. Cell apoptosis was evaluated based on the TUNEL analyses.Results: Based on the clinical evaluations, the proband in this family was diagnosed with AN. The results of NGS and Sanger sequencing showed that a novel missense mutation of AIFM1, i.e., c.1367A &gt; G (p. D456G), was identified in this family. Bioinformatics analysis indicated that this variant was pathogenic. Functional analysis showed that in comparison with the WT, the mutation c.1367A &gt; G of AIFM1 showed no effect on its subcellular localization and the ability to induce apoptosis, but changed its protein expression level.Conclusion: A novel variant of AIFM1 was identified for the first time, which was probably the genetic cause of AN in a Chinese family with AN.
Circulating tumour cell combined with DNA methylation for early detection of hepatocellular carcinoma
Authors: Liang Wenjin , Xu Zhigao , Kong Fangyu , Huang Xiao , Xiao Yuxin , Zhou Wei , Ye Shaojun , Ye Qifa 
Published: November 2022

Background: The inadequate early detection strategies makes hepatocellular carcinoma (HCC) patients with poor prognisis. Therefore, more effective detection methods are urgently needed for early detection and early intervention of HCC.Methods: 17 cases of suspected HCC patients and 11 cases of HBV-related decompensated cirrhosis (HBV-DeCi) patients were enrolled. For each patient, 5 ml blood sample was separated into circulating tumor cells (CTCs) and plasma, CTCs were stained with Diff staining for counting. Plasma was used for extracting cell free DNA (cfDNA) and then analyzed by qMSP assay. Ct values were recorded for GNB4 and Riplet as target genes and β-actin as an endogenous reference gene. Finally, clinical efficacy of CTC count combined with GNB4/Riplet methylation detection for early diagnosis of HCC was analyzed.Results: The CTC of HCC patients has pleomorphic characteristics, but it is difficult to distinguish from other blood cells with non-obviously pleomorphic of CTC. Although a small number of CTCs can also be detected in HBV-DeCi patients (control group), the number is significantly lower than that in HCC patients, the sensitivity and specificity of CTC for HCC detection were 70.6% and 90.9% (AUC = 0.81). The Ct values of GNB4 and Riplet methylation were significantly different between HCC patients and control group patients. When CTC combined with two genes, the AUC value was significantly increased to 0.98, the sensitivity was 88.2%, and the specificity was 100%.Conclusion: Our study has developed a novel test that CTC count combined with GNB4/Riplet methylation detection and showed its high performance for early diagnosis of HCC.
Molecular subtypes and a prognostic model for hepatocellular carcinoma based on immune- and immunogenic cell death-related lncRNAs
Authors: He Mingang , Gu Wenchao , Gao Yang , Liu Ying , Liu Jie , Li Zengjun 
Published: November 2022

BackgroundAccumulating evidence shows that immunogenic cell death (ICD) enhances immunotherapy effectiveness. In this study, we aimed to develop a prognostic model combining ICD, immunity, and long non-coding RNA biomarkers for predicting hepatocellular carcinoma (HCC) outcomes.MethodsImmune- and immunogenic cell death-related lncRNAs (IICDLs) were identified from The Cancer Genome Atlas and Ensembl databases. IICDLs were extracted based on the results of differential expression and univariate Cox analyses and used to generate molecular subtypes using ConsensusClusterPlus. We created a prognostic signature based on IICDLs and a nomogram based on risk scores. Clinical characteristics, immune landscapes, immune checkpoint blocking (ICB) responses, stemness, and chemotherapy responses were also analyzed for different molecular subtypes and risk groups.ResultA total of 81 IICDLs were identified, 20 of which were significantly associated with overall survival (OS) in patients with HCC. Cluster analysis divided patients with HCC into two distinct molecular subtypes (C1 and C2), with patients in C1 having a shorter survival time than those in C2. Four IICDLs (TMEM220-AS1, LINC02362, LINC01554, and LINC02499) were selected to develop a prognostic model that was an independent prognostic factor of HCC outcomes. C1 and the high-risk group had worse OS (hazard ratio &gt; 1.5, p &lt; 0.01), higher T stage (p &lt; 0.05), higher clinical stage (p &lt; 0.05), higher pathological grade (p &lt; 0.05), low immune cell infiltration (CD4+ T cells, B cells, macrophages, neutrophils, and myeloid dendritic cells), low immune checkpoint gene expression, poor response to ICB therapy, and high stemness. Different molecular subtypes and risk groups showed significantly different responses to several chemotherapy drugs, such as doxorubicin (p &lt; 0.001), 5-fluorouracil (p &lt; 0.001), gemcitabine (p &lt; 0.001), and sorafenib (p &lt; 0.01).ConclusionOur study identified molecular subtypes and a prognostic signature based on IICDLs that could help predict the clinical prognosis and treatment response in patients with HCC.
Functional molecular expression of nature killer cells correlated to HBsAg clearance in HBeAg-positive chronic hepatitis B patients during PEG-IFN α-2a therapy
Authors: Cao Weihua , Lu Huihui , Zhang Luxue , Wang Shiyu , Deng Wen , Jiang Tingting , Lin Yanjie , Yang Liu , Bi Xiaoyue , Lu Yao , Zhang Lu , Shen Ge , Liu Ruyu , Chang Min , Wu Shuling , Gao Yuanjiao , Hao Hongxiao , Xu Mengjiao , Chen Xiaoxue , Hu Leiping , Xie Yao , Li Minghui 
Published: November 2022

ObjectiveTo explore whether the frequencies and functional molecules expression of Natural Killer cells (NK cells) are related to hepatitis B surface antigen (HBsAg) disappearance in hepatitis B e envelope antigen (HBeAg)-positive patients with chronic hepatitis B (CHB) throughout peginterferon alpha-2a (PEG-IFN α-2a) treatment.MethodsIn this prospective research, HBeAg-positive patients with CHB received PEG-IFN α-2a treatment, completing 4-year follow-up. After PEG-IFN α-2a treatment, undetectable HBV DNA, HBsAg loss, and HBeAg disappearance were defined as functional cure. Proportions of NK, CD56dim, CD56bright, NKp46+, NKp46dim, NKp46high, and interferon alpha receptor 2 (IFNAR2)+ NK cells, and the mean fluorescence intensity (MFI) of NK cell surface receptors IFNAR2 and NKp46 were detected.Results66 patients were enrolled into the study in which 17 patients obtained functional cure. At baseline, hepatitis B virus desoxyribose nucleic acid (HBV DNA) titer in patients with functional cure was remarkably lower than that in Non-functional cure group. Compared with baseline, HBV DNA levels, HBsAg levels, and HBeAg levels significantly declined at week 12 and 24 of therapy in patients with functional cure. At baseline, the negative correlation between CD56bright NK% and HBV DNA and the negative correlation between CD56dim NK% and HBV DNA was showed; CD56bright NK% and IFNAR2 MFI in patients with functional cure were remarkably higher than those in patients without functional cure. After therapy, CD56bright NK% and NKp46high NK% in patients with functional cure were higher than those in patients without functional cure. In Functional cure group, after 24 weeks of treatment NK%, CD56bright NK%, IFNAR2 MFI weakly increased, and NKp46high NK% and NKp46 MFI significantly increased, meanwhile, CD56dim NK% and NKp46dim NK% decreased. Only NKp46 MFI increased after therapy in patients without functional cure.ConclusionThe lower HBV DNA load and the higher CD56bright NK% before therapy, and the higher the post-treatment CD56bright NK%, IFNAR2 MFI, NKp46high NK%, the easier to achieve functional cure.
Development of Nectin4/FAP-targeted CAR-T cells secreting IL-7, CCL19, and IL-12 for malignant solid tumors
Authors: Li Fanfan , Zhao Shuping , Wei Cheng , Hu Yaodi , Xu Tianlong , Xin Xueyi , Zhu Tingwei , Shang Liting , Ke Shanwen , Zhou Jiang , Xu Xiaojun , Gao Yue , Zhao Ai , Gao Jimin 
Published: November 2022

BackgroundChimeric antigen receptor T (CAR-T) cell therapy has made significant advances for hematological malignancies but encounters obstacles in the treatment of solid tumors mainly due to tumor immunosuppressive microenvironment.MethodsImmunohistochemistry analysis was performed to examine the cellular expression of nectin cell adhesion molecule-4 (Nectin4) and fibroblast activation protein (FAP) in a variety of malignant solid tumors. Then, we engineered the fourth-generation Nectin4-targeted CAR-T (Nectin4-7.19 CAR-T) and FAP-targeted CAR-T (FAP-12 CAR-T) cells to evaluate their safety and efficacy in vitro and in vivo.ResultsIn our study, we firstly demonstrated the aberrant overexpression of Nectin4 on both primary and metastatic solid tumors and FAP on cancer-associated fibroblasts. Then, we found that our fourth-generation Nectin4-7.19 CAR-T cells expressed IL-7 and CCL19 efficiently and exhibited superior proliferation, migration, and cytotoxicity compared to the second-generation Nectin4 CAR-T cells, while FAP-12 CAR-T cells exerted their ability of targeting both murine and human FAP effectively in vitro. In a fully immune-competent mouse model of metastatic colorectal cancer, lymphodepletion pretreated mice achieved complete remission with human Nectin4-targeted murine CAR-T (Nectin4 mCAR-T) cells. In the NSG mouse model of lung metastases, Nectin4-7.19 CAR-T cells eradicated metastatic tumors and prolonged survival in combination with FAP-12 CAR-T cells.ConclusionsThese findings showed that Nectin4-7.19 CAR-T cells had potential therapeutic efficacy and exerted a synergistic role with FAP-12 CAR-T cells, further demonstrating that Nectin4 and FAP were able to serve as promising targets for safe and effective CAR-T therapy of malignant solid tumors.