bluuebunny/crossref_metadata_2025_split huggingface dataset:
17β-Estradiol (E2) Alleviates Depressive-Like Behaviors By Inhibiting Gp130/JAK1/STAT3 Signaling Pathway Through Estrogen Receptor-β
Authors: Chen Qian , Sun Ting , Cheng Jingru , Mei Yufeng , Liu Bohao , Li Yan 
Published: February 2022

Abstract
Background: Neuroinflammation has an important role in the pathogenesis of depression, and estrogen can inhibit the secretion of inflammatory factors IL-6 and TNF-and relieve depression-like behaviors in MDD patients. The gp130 / JAK1 / STAT3-mediated neuroinflammation plays an important role in the pathogenesis of depression. Exploring the specific mechanism of estrogen inhibition of neuroinflammation in depression has a positive effect on the treatment of MDD.Methods: Wild-type female C57BL / 6 mice were randomly divided into control mice, OVX mice and OVX + E2 mice, and OVX + E2 mice were pretreated with a 0.2 mg/kg/day dose for one month to observe their depression-like behavior. In addition, E2 was also used to interfere with the BV2 cells. Intraperitoneal injection of E2 after OVX confirmed the therapeutic effect of E2 and further verified the molecular mechanism of E2.Results: the inflammatory response and impairment was significantly reduced and the depression-like behavior was alleviated in OVX+E2 group. Moreover, gp130 / JAK1 / STAT3 signaling pathway was also downregulated. On the other hand, hippocampal apoptosis was significantly reduced in mice in the OVX + E2 group. We further demonstrated that E2 inhibited gp130 / JAK1 / STAT3 signaling pathway via estrogen receptor-β (ER-β).Conclusion: we confirmed the anti-depressant effect and anti-apoptotic of E2 we verified that E2 alleviated inflammatory response and depressive-like behaviors by inhibiting gp130/JAK1/STAT3 signaling pathway via combining with ER-β and gp130. This study suggested that E2 exerted neuroprotective effects and estrogen replacement therapy will be a promising therapeutic strategy to alleviate neuroinflammation and depressive-like behaviors.
First Clinical Experience With [89Zr]Zr-Df-IAB22M2C PET/MRI in Patients With Metastatic Cancer
Authors: Schwenck Johannes , Sonanini Dominik , Seyfried Dominik , Ehrlichmann Walter , Kienzle Gabriele , Reischl Gerald , Krezer Pascal , Wilson Ian , Korn Ron , Gonzalez-Menendez Irene , Quintanilla-Martinez Leticia , Seith Ferdinand , Forschner Andrea , Eigentler Thomas , Zender Lars , Röcken Martin , Pichler Bernd , Flatz Lukas , Kneilling Manfred , Fougère Christian la 
Published: February 2022

Abstract
Aim/Introduction: Despite the spectacular success of immune checkpoint inhibitor therapy (ICT) in patients with metastatic cancer, only a limited proportion of patients benefit from ICT. An important gatekeeper for the therapeutic response to ICT are CD8+ cytotoxic T cells which are able to recognize MHC class I-dependent tumor antigens and destroy tumor cells. The radiolabeled minibody [89Zr]Zr-Df-IAB22M2C has a high affinity for human CD8+ T cells and was already successfully tested in a phase I study. Here, we aimed to gain first clinical PET/MRI experience with the non-invasive assessment of the CD8+ T cell distribution in cancer patients by in vivo [89Zr]Zr-Df-IAB22M2C.Material and Methods: We investigated 8 patients with metastasized cancers undergoing ICT. Radiolabeling of Df-IAB22M2C with Zr-89 was performed according to Good Manufacturing Practice. Multiparametric PET/MRI was acquired 24 h after injection of 74.2±17.9 MBq [89Zr]Zr-Df-IAB22M2C. We analyzed the [89Zr]Zr-Df-IAB22M2C uptake within the metastases and primary and secondary lymphatic organs. Results: [89Zr]Zr-Df-IAB22M2C injection was tolerated well without noticeable side effects. The CD8 PET/MRI data acquisitions 24 hours post administration of [89Zr]Zr-Df-IAB22M2C revealed a good image quality with a relatively low background signal due to only low unspecific tissue uptake and marginal blood pool retention. Only two metastatic lesions showed a markedly increased tracer uptake in our cohort of patients. Furthermore, we observed a high interpatient variability in the [89Zr]Zr-Df-IAB22M2C uptake within the primary and secondary lymphoid organs. Four out of five ICT patients exhibited a rather high [89Zr]Zr-Df-IAB22M2C uptake in the bone marrow. Two of these four patients as well as two other patients yielded a pronounced [89Zr]Zr-Df-IAB22M2C uptake within non metastatic lymph nodes. Interestingly, cancer progression in ICT patients was associated with a relatively low [89Zr]Zr-Df-IAB22M2C uptake in the spleen compared to the liver in 4 out of the 6 patients.Conclusion: Our first clinical experiences revealed the feasibility of [89Zr]Zr-Df-IAB22M2C PET/MRI to assess potential immune-related changes in the metastases and the primary and secondary lymphatic organs. According to our results, we hypothesize that alteration in the [89Zr]Zr-Df-IAB22M2C uptake in primary and secondary lymphoid organs might be associated with the response to ICT.
Inspiratory Hyperoxia Suppresses Lung Cancer Metastasis Through A MYC/SLC1A5-Dependent Metabolic Pathway
Authors: Liu Xiucheng , Qin Hao , Feng Shoujie , Zhuang Wei , Quan Xiaoyu , Lv Yin , Guo Chen , Chen Chang , Zhang Hao 
Published: February 2022

Abstract
Background The lack of knowledge about the effect of inspiratory hyperoxia (IH) on the lung-specific tumor microenvironment and progression of lung cancer has attracted considerable attention.Methods The effects of different oxygenation parameters on the proliferation, apoptosis, invasion and migration of lung cancer cells were systematically evaluated in vitro and in vivo, including CCK-8, transwell and metastasis models. Mechanistically, transcriptome, proteome and metabolome analysis were combined to reveal the effects of IH on the malignant phenotype of lung cancer cell. Luciferase reporter analysis, Western blot, RNA immunoprecipitation and immunohistochemical staining were performed to examine the detailed regulatory mechanism of IH regulating metabolic reprogramming of lung cancer cells.Results Our results reveal that IH treatment (60% O2, 6h/day) not only has no tumor progression-promoting effects, but also suppresses lung cancer metastasis and promotes long-term survival. MYC/SLC1A5-induced metabolic reprogramming and glutamine addiction serves as a new mechanism that drives lung cancer metastasis, which can be significantly suppressed by IH.Conclusion MYC/SLC1A5-induced metabolic reprogramming and glutamine addiction is a new mechanism that drives lung cancer metastasis, which can be significantly suppressed by IH treatment. These findings are relevant to the debate on the perils, promises and antitumor effect of IH, especially for patients with lung cancer.
Quantification of Acceleration as Activity Counts in ActiGraph Wearables
Authors: Neishabouri Ali , Nguyen Joe , Samuelsson John , Guthrie Tyler , Biggs Matt , Wyatt Jeremy , Cross Doug , Karas Marta , Migueles Jairo Hidalgo , Khan Sheraz , Guo Christine Cong 
Published: February 2022

Abstract
Background

Digital clinical measures based on data collected by wearable devices have seen rapid growth in both clinical trials and healthcare. The widely-used measures based on wearables are epoch-based physical activity counts using accelerometer data. Even though activity counts have been the backbone of thousands of clinical and epidemiological studies, there are large variations of the algorithms that compute counts and their associated parameters – many of which have often been kept proprietary by device providers. This lack of transparency has hindered comparability between studies using different devices and limited their broader clinical applicability. ActiGraph devices have been the most-used wearable accelerometer devices for over two decades.

Results

Recognizing the importance of data transparency, interpretability and interoperability to both research and clinical use, we here describe the detailed counts algorithms of five generations of ActiGraph devices going back to the first AM7164 model, and publish the current counts algorithm in ActiGraph’s ActiLife and CentrePoint software as a standalone Python package for research use.

Conclusion

We believe that this material will provide a useful resource for the research community, accelerate digital health science and facilitate clinical applications of wearable accelerometry.
Computer Vision Reveals Fish Behaviour Through Structural Equation Modelling of Movement Patterns
Authors: Lopez-Marcano Sebastian , Turschwell Mischa P , Brown Christopher J , Jinks Eric L , Wang Dadong , Connolly Rod M 
Published: February 2022

Abstract
Background: Studying and quantifying fish behaviour is important to understand how fish interact with their environments. Yet much of fish behaviour in aquatic ecosystems remains hard to observe and time-consuming to manually document. Automated tracking through computer vision techniques can provide fine-scale movement data of many individuals across spatial and temporal scales. When used alongside statistical methodologies such as structural equation models (SEMs), these data can be used to infer underlying latent behavioural events of an animal without direct observations. However, interpreting the main modes of fish behaviour when presented with large datasets remains a challenge. Methods: We developed a cross-validation routine to evaluate methods for accurately predicting behaviour from a large field dataset. We created SEM behavioural models using different combinations of temporal buffers in training data and evaluated them against a fixed evaluation dataset for three common fish species (Moses perch, southern herring and yellowfin bream). We then used the SEM model with the lowest error for each species to translate movement data into ecologically relevant behavioural events. Results: The temporal buffer generating the SEM models with the best predictive capacity varied among species, from 1 min for Moses perch and southern herring, to 45 min for yellowfin bream. Models were able to accurately predict behavioural events such as foraging (slow, sinuous movement near the substrate) and fine-scale diurnal migration (fast, directional movement near the surface).Conclusions: We developed a framework to optimise temporal partitioning in computer vision tracking data using SEMs. We demonstrate how data can be translated into ecologically relevant behavioural events such as foraging and fine-scale migrations. This is a step towards bridging the gap between development and application of new technologies to monitor behaviour of animals in aquatic ecosystems.
Dosimetric comparison of AcurosBV with AAPM TG43 dose calculation formalism in cervical intraductal high-dose-rate brachytherapy using three different applicators
Authors: Dai Zhitao , Bi Su-yan , Chen Zhi-jian , Sun Xing-ru 
Published: February 2022

Abstract
Purpose: To compare the dosimetric effects of American Association of Physicists in Medicine (AAPM) TG43 dose formalism and AcurosBV ( grid-based Boltzmann solver ,GBBS) formalism on High-dose-rate(HDR) brachytherapy planning for cervical cancer patients irradiated using three different applicators.Methods: A TG43 plan and a AcurosBV plan were generated for each of the 30 patients. twenty patients who had undergone whole pelvic radiotherapy followed by cervical HDR brachytherapy and the remaining 10 patients who underwent total hysterectomy only gave HDR brachytherapy also were enrolled in this study. The patients were divided into three groups according to the types of applicators used: tandem and ovoid (T&O), tandem and ring (T&R), and Cylinder. To compare the dosimetric parameters, the cumulative dose-volume histograms (DVHs) were measured. We also compared the doses at 90% of the volume (D90%) , the volume receiving 100% and 150% of the prescribed dose (V100% and V150%) for the clinical target volume (CTV-HR) and the doses of point A, the dose receiving 0.1 cc and 2 cc of the volume (D0.1cc and D2cc) for the organs-at-risk (OARs).Results: In this study, compared with the AcurosBV plans, TG43 plans predicted higher D90%, V100%, and V150% of CTV-HR, dose of point A and D0.1cc and D2cc of OARs in three types of applicators. Except D2cc of sigmoid in T&R and Cylinder applicators, the D90%, V100%, and V150% of CTV-HR; the Dose of point A and the D0.1cc and D2cc of bladder, recutum and small bowel exhibited significant discrepancies (P>0.05). The effects of the three types of applicators on the dose distribution were quite different due to the difference of the materials: The dose difference of CTV-HR and OARs was greatest (around 10%) for T&O applicators but only 1%-5% for T&R and Cylinder applicators.Conclusions: This study demonstrated that AcurosBV was more accurate in calculating the doses in the air cavity and high-density substance than TG43. In the clinical setting, the AcurosBV exhibited different dosimetric distributions in the cervix plans for HDR brachytherapy, especially in treatment planning when using T&O applicators. The AcurosBV algorithm should be considered when using T&O applicators or some other materials with a much higher or lower density (metal or air) than soft tissue. Howevere, If the density is close to the soft tissue, considering AcurosBV algorithm requires more calculation time, TG43 could still be selected when using applicators in clinical.
High CENPA expression in papillary renal cell carcinoma tissues is associated with poor prognosis
Authors: li Junwu , Li Qinke , Xie Yiteng , Zhang Yuanfeng , Zhang Ronggui 
Published: February 2022

Abstract
Objective: This work focused on investigating the relation of centromeric protein A (CENPA) gene expression with prognosis of papillary renal cell carcinoma (PRCC). Methods: We obtained data from PRCC cases in TCGA. Thereafter, CENPA levels between the paired PRCC and matched non-carcinoma samples were analyzed by Wilcoxon rank-and-sum test, while the relations of clinicopathological characteristics with CENPA level were examined by logistic regression and Wilcoxon rank-sum test. The prognostic value of CENPA was assessed by plotting the receiver operating feature curve (ROC) and calculating the value of area under curve (AUC). In addition, relations between clinicopathological features and PRCC survival were analyzed through Kaplan-Meier (KM) and Cox regression analyses. Additionally, we constructed a nomogram according to multivariate Cox regression results for predicting how CENPA affected patient survival. We also determined CENPA levels within cancer and matched non-carcinoma samples through immunohistochemistry (IHC). Finally, we utilized functional enrichment for identifying key pathways related to differentially expressed genes (DEGs) between PRCC cases with CENPA up-regulation and down-regulation. Results: CENPA expression enhanced in PRCC tissues compared with healthy counterparts (P <0.001). CENPA up-regulation was related to clinical stage and pathological TNM stage (P<0.05). Meanwhile, the ROC curve indicated that CENPA had a remarkable diagnostic capacity for PRCC (AUC=0.936). As revealed by KM curve, PRCC cases with CENPA up-regulation were associated with poor survival compared with those with CENPA down-regulation (risk ratio, RR=3.07, 95% CI: 1.58-5.97, P=0.001). In the meantime, univariate as well as multivariate analysis showed an independent association of CENPA with overall survival (OS, P <0.001). IHC analysis indicated that PRCC cases showed an increased CENPA positive rate compared with controls. As revealed by functional annotations, CENPA was enriched into pathways associated with KEGG - NEUROACTIVE - LIGAND - RECEPTOR - INTERACTION, KEGG - CYTOKINE - CYTOKINE - RECEPTOR INTERACTION, NABA - ECM - REGULATORS, NABA - ECM - GLYCOPROTEINS, and NABA - CORE - MATRISOME pathways. Conclusion: CENPA expression increases within PRCC samples, which predicts dismal PRCC survival. CENPA may become a molecular prognostic marker and therapeutic target for PRCC patients.
Evaluation of Quality of Neonatal Intensive Care Unit Service in Primary Hospitals of Jimma Zone, Southwest Ethiopia
Authors: Fikadu Lamesa , Adamu Kidist , Haile Yosef 
Published: February 2022

Abstract
Background: Neonatal Intensive Care Unit (NICU) is a health facility based package of interventions to address newborns that need advanced care for ill or premature new-borns in the first 28 days of life. The period with in the first month of life was the most important time for child’s survival and they face the highest risk of death. There is paucity of information regarding this important issue in south west Ethiopia therefore, it is very important to evaluate quality of neonatal Intensive Care Unit services especially in the era of mid covid-19 pandemic. Hence, the aim of this study was to evaluate the quality of neonatal intensive care unit service at primary hospitals in Jimma zone, 2020. Methods: A single case study using both quantitative and qualitative data collection methods was conducted from August 20 to September 15, 2020 in neonatal intensive care units of primary hospitals located in Jimma zone. The evaluation was done using Donabedian’s Structure-Process-Outcome model in terms of availability, compliance and acceptability dimensions. Data were entered in EpiData version 3.1 and analyzed using SPSS version 25. Descriptive statistics was used to summarize the data. Bivariate and multivariable logistic regression analyses were performed to see the association between independent variable and satisfaction of parents on quality of service. The quantitative findings were supplemented with qualitative data. Finally the findings of the evaluation were interpreted on the basis of pre-determined judgment matrix.Results: Most of the required resources (88.32%) were available at the study sites. But the rooms had been inadequate. Health care providers’ compliance was 82.59%. However, after discharge, only 26.67% of neonates received appointment based on guideline. About 72.75% of parents were satisfied with the services given to their babies. The overall quality of neonatal intensive care service was partially implemented (82.42%) according to the preset judgment criteria. Parental satisfaction was found to be associated with place of residence (AOR=3.68, 95 % CI: 1.15-11.76) and occupation (AOR=2.69, 95% CI: 1.01-7.2).Conclusions and Recommendations: The overall quality of neonatal intensive care service was partially implemented according to the preset judgment criteria. Rural residence and having no occupation were predictors for parenteral satisfaction. There is a need for improvements on preparation of maternal waiting area, hand washing facilities, provision of appointments to discharged neonates and the availability of medical equipment’s (Continuous Positive Airway Pressure).
IL-6 Production Through Repression of UBASH3A Gene via Epigenetic Dysregulation of Super-Enhancer in CD4+T Cells in Rheumatoid Arthritis
Authors: Yamagata Kaoru , Nakayamada Shingo , Zhang Tong , Nguyen Phuong Anh , Ohkubo Naoyuki , Iwata Shigeru , Kato Shigeaki , Tanaka Yoshiya 
Published: February 2022

Abstract
Background.
UBASH3A as a negative regulator of T-cell receptors (TCRs) signaling is a susceptible factor for rheumatoid arthritis (RA) patients who exhibit immune dysfunction. We studied UBASH3A expression in CD4+ T cells from healthy donors and RA patients, the involvement of super-enhancer (SE) in the control of UBASH3A expression, and the contribution of UBASH3A to proinflammatory cytokine production.
Methods.
The UBASH3A mRNA and protein levels were examined by quantitative PCR and Western blotting, respectively. Locked nucleic acid was administered to cells to inhibit enhancer RNA (eRNA) expression. Factors recruited to UBASH3A loci displaying SE architecture were studied by chromatin immunoprecipitation. CD4+ T cells were transfected with UBASH3A plasmids, and cytokine levels were measured by cytometric bead array.
Results.
UBASH3A mRNA and protein expression was lower in CD4+ T cells from RA patients than in those from healthy donors. UBASH3A mRNA levels were reduced by eRNA_1 and eRNA_3 knockdown. In RA patients, BTB and CNC homology 2 (BACH2), the silencing transcription factor, accumulated at the UBASH3A loci in CD4+ T cells, whereas the SE-defining factor, mediator complex subunit 1 (MED1)/bromodomain 4 (BRD4), did not. However, opposite phenomena were observed in healthy donors. Although stimulation of TCRs expressed on CD4+ T cells from RA patients led to interleukin (IL)-6 production, UBASH3A over-expression significantly inhibited its production.
Conclusions.
Transcription of UBASH3A is suppressed via epigenetic regulation of SE in CD4+ T cells from RA patients. Decreased UBASH3A levels lead to excessive activation of TCR signaling, resulting in enhanced production of IL-6.
PAIP1 is a Novel Oncogene in Human Hepatocellular Carcinoma
Authors: Zhang Nuobei , Chen Xin 
Published: February 2022

Abstract
Background: Poly(A)-binding protein interacting protein 1 (PAIP1) is a translational initiation regulatory factor that has been reported as oncogene in multiple malignant diseases. However, its role in hepatocellular carcinoma (HCC) and the potential mechanisms underlying tumor progression have not been explored. Methods: PAIP1 expression level in HCC cell lines were detected by real-time PCR and western blotting. When PAIP1 was knocked down, the proliferation and colony formation of HCC cell lines were detected by MTT and colony formation assay. The apoptosis and cell cycle were detected by flow cytometry. The volume and growth rate of the xenograft tumors were observed. The potential mechanism of PAIP1 in HCC cells was analyzed by miRNA Microarray Analysis and TargetScan analysis. Results: PAIP1 is significantly upregulated in HCC cell lines. PAIP1 knockdown dramatically inhibits cell proliferation and colony formation, induces apoptosis and alters the cell cycle profile by increasing the G2/M cell percentage. Moreover, PAIP1 knockdown significantly reduces xenograft tumorigenesis in a murine transplantation model. Bioinformatics and immunoblotting analysis reveal PAIP1 knockdown dysregulates cyclin D pathway-related proteins. Conclusion: PAIP1 functions an oncogenic role in hepatocellular carcinoma.
Sustainable refining of vegetable oil made easy with a designer phospholipase C enzyme
Authors: Val Diego S. , Marchisio Fiorela , Nardo Luisina Di , Peiru Salvador , Aguirre Andres , Abriata Luciano A. , Palacios Luis , Rasia Rodolfo M. , Castelli Maria E. , Menzella Hugo G. 
Published: February 2022

Abstract
Enzymes are extraordinary catalysts and a preferred tool for green chemistry, but they have not evolved to tolerate the harsh conditions required in large scale chemical processes, making in most cases the replacement of inorganic catalysts extremely expensive. However, continuous knowledge generated by protein engineers help to realize the promise of using biocatalysts to address critical environmental and industrial challenges.The increasing demand for food and biofuels pressures the vegetable oil industry to continuously improve the manufacturing efficiency and at the same time to mitigate the environmental pollution caused by the refineries. Enzymatic degumming is a key enabling technology to obtain cleaner and more efficient methods, but advanced enzymes are needed for a widespread adoption. Here we present an enzymatic degumming process based on chPLC, a synthetic phospholipase C with remarkable thermal stability and catalytic properties. The process developed does not require modifications in current soybean oil factories, avoiding upfront investments, and is four times faster than the enzymatic processes available in the market. A techno-economic analysis predicts a ~60 % cost reduction for a base-case scenario, establishing the largely expected conditions to promote the global adoption of enzymatic oil degumming by refineries of all sizes.To the best of our knowledge, this is the first report showing the application of a synthetic enzyme designed to address an industrial need with impact in both, the global economy and the environment, in the billion-dollar range.