bluuebunny/crossref_metadata_2025_split huggingface dataset:
AtSYP71 Is Important for Plant Cell Wall Biosynthesis and Stress Adaptation.
Authors: Kou Xiaoyue , Zhang Hailong , Zhao Xiaonan , Wang Mingjing , Qin Guochen , Zhou Jingwen , Zhao Zhenjie , Feng Xianzhong , Li Lixin 
Published: December 2021

Abstract
Background: SYP71, the plant-specific Qc-SNARE protein, is reported to regulate vesicle trafficking. SYP71 is localized on the ER, endosome, plasma membrane and cell plate, suggesting its multiple functions. Lotus SYP71 is essential for symbiotic nitrogen fixation in nodules. AtSYP71, GmSYP71 and OsSYP71 are implicated in plant resistance to pathogenesis. To date, SYP71 regulatory role on plant development remain unclear.Results: AtSYP71-knockout mutant atsyp71-4 was lethal at early development stage. Early development of AtSYP71-knockdown mutant atsyp71-2 was delayed, and stress response was also affected. Confocal images revealed that protein secretion was blocked in atsyp71-2. Transcriptomic analysis indicated that metabolism, response to environmental stimuli pathways and apoplast components were influenced in atsyp71-2. Moreover, the contents of lignin, cellulose and flavonoids as well as cell wall structures were also altered.Conclusion: Our findings suggested that AtSYP71 is essential for plant development. AtSYP71 probably regulates plant development, metabolism and environmental adaptation by affecting cell wall homeostasis via mediating secretion of materials and regulators required for cell wall biosynthesis and dynamics.
Role of Cannabidiol and Tetrahydrocannabivarin on Paclitaxel-Induced Neuropathic Pain in Rodents
Authors: Kalvala Anil Kumar , Bagde Arvind , Arthur Peggy , Surapaneni Sunil Kumar , Nimma Ramesh , Nathani Aakash , Singh Mandip 
Published: December 2021

Abstract
The purpose of this study was to investigate the neuroprotective effects of phytocannabinoids, synthetic cannabidiol (CBD) and tetrahydrocannabivarin (THCV) and their combination on taxol induced peripheral neuropathy (PIPN) in mice. Briefly, six groups of C57BL/6J mice (n = 6) were used. PTX (8 mg/kg/day, i.p.) was given to the mice on days 1, 3, 5, and 7 to induce neuropathy. Mice were evaluated for their behavioral parameters and also at the end of the study, DRG collected from the animals were subjected to RNA sequence and westernblot analysis. Further, immunocytochemistry and mitochondrial functional assays were performed on cultured DRGs derived from SD rats. The combination of CBD and THCV improved thermal and mechanical neurobehavioral symptoms in mice by two folds as compared to individual treatments. KEGG (RNA Sequencing) identified P38-MAPK, AMPK, and PI3K-AKT pathways as potential CBD and THCV therapeutic targets. In PTX-treated animals, the expression of p-AMPK, SIRT1, NRF2, HO1, SOD2, and catalase was significantly reduced (p<0.001), whereas the expression of PI3K, p-AKT, p-P38 MAP kinase, BAX, TGF-, NLRP3 inflammasome, and caspase 3 was significantly increased (p<0.001) when compared to control group. In reversing these protein expressions, combination therapy outperformed single therapies. CBD and THCV treatment increased AMPK, Catalase, and Complex I expression while decreasing mitochondrial superoxides in DRG primary cultures. In mice and DRG primary cultures, WAY100135 and rimonabant inhibited the effects of CBD and THCV by blocking 5 HT1A and CB1 receptors. In conclusion, entourage effect of CBD and THCV combination against PIPN appears to protect neurons in mice by modulating 5HT1A and CB1 receptors, respectively.
Diversity and Ethno-Mycological Importance of Mushrooms from Western Himalayas, Kashmir.
Authors: ULLAH Tariq Saiff , Firdous Syeda Sadiqa , Shaheen Hamayun , Hussain Javeed , Khalid Abdul Nasir 
Published: December 2021

Abstract
Wild edible mushrooms (WEM) are economically significant and used in traditional medicines worldwide. The region of Jammu and Kashmir (Western Himalayas) is enriched with the diversity of edible mushrooms, collected by the rural people for food and income generation. This is the first detailed study on diversity and ethno-medicinal uses of mushrooms from the State of Jammu and Kashmir. Methods: Consecutive surveys were conducted to record ethno-mycological diversity and socio-economic importance of wild edible mushrooms value chain in rural areas of Azad Jammu and Kashmir during 2015-2020. Data were collected with a semi-structured questionnaire having a set of questions on indigenous mycological knowledge and collection and retailing of wild edible mushrooms. A total of 923 informants from the study area provided results identifying the gender, type of mushroom species, medicinal uses, and marketing of mushrooms. Principal component analysis (PCA) was also applied to the data set to analyse the relationship between species distribution, the underlying environmental factors and habitat types. PCA identified the major species specific to the sites and put them close to the sites of distribution.Results: A total of 131 mushroom species were collected and identified during 2015-2020 from the study area. One hundred and one species of mushrooms were reported new to the State of Jammu and Kashmir. The dominant mushroom family was Russullaceae with 23 species followed by Agaricaceae, 16 species. Major mushroom species identified and grouped by the PCA were Coprinus comatus, Lactarius sangufulus, Amanita fulva, Armillaria gallica, Lycoperdon perlatum, Lycoperdon pyriforme, and Russula creminicolor. Sparassis crispa, Pleurotus sp and Laetiporus sulphurous were recorded most edible and medicinally significant fungi. Morels were the most expensive and medicinally important among all harvested macro-fungal species. These were reported to use against the common ailments and various health problems. Conclusions: Collection and retailing of WEM contribute to improve the socioeconomic status, providing alternative employment and food security to rural people of the area. These mushrooms are used as a source of food and traditional medicines among the rural informants and could be used a potential source of antibacterial and anticancer drugs in future.
Machine Learning and In-Vivo Expression Analyses Reveal Circadian Clock Features Predictive of Anxiety in Humans
Authors: Zafar Aziz , Overton Rebeccah , Attia Ziad , Ay Ahmet , Ingram Krista 
Published: December 2021

Abstract
Mood disorders, including anxiety, are associated with disruptions in circadian rhythms and are linked to polymorphisms in circadian clock genes. Molecular mechanisms underlying these connections may be direct—via transcriptional activity of clock genes on downstream mood pathways in the brain, or indirect—via clock gene influences on the phase and amplitude of circadian rhythms which, in turn, modulate physiological processes influencing mood. Employing machine learning combined with statistical approaches, we explored clock genotype combinations that predict risk for anxiety symptoms in a deeply phenotyped population. We identified multiple novel circadian genotypes predictive of anxiety, with the PER3B-AG/CRY1-CG genotype being the strongest predictor of anxiety risk in males. Molecular chronotyping, using clock gene expression oscillations, revealed that advanced circadian phase and robust circadian amplitudes are associated with high levels of anxiety symptoms. Further analyses revealed that individuals with advanced phases and pronounced circadian misalignment were at higher risk for severe anxiety symptoms. Our results support both direct and indirect influences of clock gene variants on mood: while sex-specific clock genotype combinations predictive of anxiety symptoms suggest direct effects on mood pathways, the mediation of PER3B effects on anxiety via diurnal preference measures and the association of circadian phase with anxiety symptoms provide evidence for indirect effects of the molecular clockwork on mood. Unraveling the complex molecular mechanisms underlying the links between circadian physiology and mood is essential to identifying the core clock genes to target in future functional studies, thereby advancing the development of non-invasive treatments for anxiety-related disorders.
Subsurface Oxygen Defects Electronically Interacting with Active Sites on In2O3 for Enhanced Photothermocatalytic CO2 Reduction
Authors: Wei Weiqin , Wei Zhen , Li Ruizhe , Li zhenhua , Shi Run , Ouyang Shuxin , Qi Yuhang , Phillips David , Yuan Hong 
Published: December 2021

Abstract
Oxygen defects play an important role in many catalytic reactions. Increasing surface oxygen defects can be done through reduction treatment. However, excessive reduction blocks electron channels and deactivates the catalyst surface due to electron-trapped effects by subsurface oxygen defects. How to effectively extract electrons from subsurface oxygen defects which cannot directly interact with reactants is challenging and remains elusive. Herein, we report a metallic In-embedded In2O3 nanoflake catalyst over which the turnover frequency of CO2 reduction into CO increases by a factor of 866 (7615 h-1) and 376 (2990 h-1) at same light intensity and reaction temperature, respectively, compared to In2O3. Under electron-delocalization effect of O-In-(O)Vo-In-In structural units at the interface, the electrons in the subsurface oxygen defects are extracted and gather at surface active sites. This improves the electronic coupling with CO2 and stabilizes COOH intermediate. The study opens up new insights for exquisite electronic manipulation of oxygen defects.
Identification of RPSA as a Potential Biomarker in Bronchoalveolar Lavage Fluid for Acute Respiratory Distress Syndrome
Authors: Xia Yang , Gao Lei , Guo Lili , Li Hao , Shao Min , Yang Qigang , Liu Nian , Fang Ming , Xu Hui , Li Jiajin , Gu Hao , Zhao Hui , Sun Gengyun , Zhang Ling 
Published: December 2021

Abstract
BackgroundAcute respiratory distress syndrome (ARDS) is a life-threatening condition leading to severe pulmonary injuries, and proteomic analysis of bronchoalveolar lavage fluid (BALF) might elucidate potential biomarkers for diagnosis and targets for treatment of ARDS. MethodsThrough iTRAQ analysis, we investigated paired BALF samples from three ARDS patients in the acute and recovery phases. The proteins sharing the same expression patterns between the two ARDS phases among different patients were determined as co-upregulated and co-downregulated proteins (CUDPs), and differentially expressed proteins (DEPs), whose fold change > 1.2 and P value < 0.05, were selected from CUDPs. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were applied to determine the enriched functions and pathways of the CUDPs. Protein-protein interaction (PPI) network was generated at STRING database, and hub genes were identified by the Cytoscape software. A549 cells were treated by lipopolysaccharide (LPS) to simulate alveolar epithelial cells in ARDS.ResultsWe identified 374 CUDPs and 53 DEPs. The GO analysis indicated that the most significantly enriched function was neutrophil mediated immunity response, and the KEGG analysis revealed that the 374 CUDPs were most significantly enriched in Coronavirus disease COVID-19 interaction. RPSA was discovered as the most top hub gene among DEPs, and was downregulated at protein levels during ARDS recovery. Moreover, we further confirmed that both RNA and protein level of RPSA increased upon inflammatory stimulation in vitro.ConclusionOur results proposed RPSA as a candidate for biomarker and therapeutic target of ARDS.
Compilation of Drilling Load Spectrum Based on the Characteristics of Drilling Force
Authors: Jin Tongtong , Yan Chuliang , Guo Jinyan , Chen Chuanhai , Zhu Dong 
Published: December 2021

Abstract
In order to overcome the problem that the existing methods of compiling load spectrum of spindle or machine tool mainly aim at the cutting force spectrum, torque spectrum and speed spectrum respectively, which ignore the connection between each spectrum, in this paper, a method for compiling drilling load spectrum of motorized spindle in CNC machine tool based on the characteristics of drilling force is proposed. Firstly, drilling tests under different processing technologies are carried out to measure its load, and the correction coefficient in the empirical formula of drilling force is obtained through fitting the measured drilling force, which makes the calculation of the axial force and torque more reasonable. Secondly, compared with the extended factor method, the transcendental probability method is optimized to solve the ultimate load of the axial force. Then, after setting the axial force as the main load of drilling, an eight-stage load spectrum for the main load is compiled. Finally, according to the relationship between the axial force and other loads, the eight-stage loading spectrum is transformed into a multi-dimensional drilling load spectrum.
Severe, But Not Moderate Asthmatics Share Blood Transcriptomic Changes With Post-Traumatic Stress Disorder And Depression.
Authors: Haas-Neill Sandor , Dvorkin-Gheva Anna , Forsythe Paul 
Published: December 2021

Abstract
Asthma, an inflammatory disorder of the airways, is one of the most common chronic illnesses worldwide and is associated with significant morbidity. There is growing recognition of an association between asthma and mood disorders including post-traumatic stress disorder (PTSD) and major depressive disorder (MDD). Although there are several hypotheses regarding the relationship between asthma and mental health, there is little understanding of underlying mechanisms and causality. In the current study we utilized publicly available datasets of human blood mRNA collected from patients with severe and moderate asthma, MDD, and PTSD. We performed differential expression (DE) analysis and Gene Set Enrichment Analysis (GSEA) on diseased subjects against the healthy subjects from their respective datasets, compared the results between diseases, and validated DE genes and gene sets with 4 more independent datasets. Our analysis revealed that commonalities in blood transcriptomic changes were only found between the severe form of asthma and mood disorders. Gene expression commonly regulated in PTSD and severe asthma, included ORMDL3 a gene known to be associated with asthma risk and STX8, which is involved in TrkA signalling. We also identified several pathways commonly regulated to both MDD and severe asthma. This study reveals gene and pathway regulation that potentially drives the comorbidity between severe asthma, PTSD, and MDD and may serve as foci for future research aimed at gaining a better understanding of both the relationship between asthma and PTSD, and the pathophysiology of the individual disorders.
Targeting Galectin 3 to Counteract Spike-Phase Uncoupling of Fast-Spiking Interneurons to Gamma Oscillations in Alzheimer’s Disease
Authors: Arroyo-García Luis Enrique , Bachiller Sara , Boza-Serrano Antonio , Rodríguez-Moreno Antonio , Deierborg Tomas , Andrade-Talavera Yuniesky , Fisahn André 
Published: December 2021

Abstract
Background: Alzheimer’s disease (AD) is a progressive multifaceted neurodegenerative disorder for which no disease-modifying treatment exists. Neuroinflammation is central to the pathology progression, with evidence suggesting that microglia-released galectin 3 (gal3) plays a pivotal role by amplifying neuroinflammation in AD. However, possible involvement of gal3 in the disruption of cognition-relevant neuronal network oscillations typical of AD remains unknown. Methods: Here, we investigate the functional implications of gal3 signaling on cognition-relevant gamma oscillations (30-80 Hz) by performing electrophysiological recordings in hippocampal area CA3 of wild-type (WT) and 5xFAD mice in vitro. Results: Gal3 application decreases gamma oscillation power and rhythmicity in an activity-dependent manner and is accompanied by impairment of cellular dynamics in fast-spiking interneurons (FSN) and pyramidal cells (PCs). We found that gal3-induced disruption is mediated by the gal3-carbohydrate-recognition domain and prevented by the gal3 inhibitor TD139, which also prevents Aβ42-induced degradation of gamma oscillations. Furthermore, we demonstrate that 5xFAD mice lacking gal3 (5xFAD-Gal3KO) exhibit WT-like gamma network dynamics.Conclusions: We report for the first time that gal3 impairs cognition-relevant neuronal network dynamics by spike-phase uncoupling of FSN inducing a network performance collapse. Moreover, our findings suggest gal3 inhibition as a potential therapeutic target to counteract the neuronal network instability typical of AD and other neurological disorders encompassing neuroinflammation and cognitive decline.
Spatiotemporal Dynamics of Brain Function During the Natural Course in a Dental Pulp Injury Model
Authors: Yu Feiyan , Li Miao , Wang Qianqian , Wang Jing , Wu Shuang , Zhou Rui , Jiang Han , Li Xiaoyi , Zhou Yu , Yang Xi , He Xiao , Cheng Yan , Ren Xiuyun , Zhang Hong , Tian Mei 
Published: December 2021

Abstract
Purpose Toothache, a common disorder afflicting most people, shows distinct features at different clinical stages. This study aimed to depict metabolic changes in brain and investigate the potential mechanism involved in the aberrant affective behaviors during the natural process of toothache. Methods We investigated the spatiotemporal patterns of brain function during the natural course of toothache in a rat model of dental pulp injury (DPI) by using positron emission tomography (PET). Results Glucose metabolism peaked on the 3rd day and gradually decreased in several brain regions after DPI, which was in line with the behavioral and histological results. PET imaging showed visual pathway was involved in the regulation of toothache. Meanwhile, the process of emotional regulation underlying toothache was mediated by N-methyl-D-aspartic receptor subunit 2B (NR2B) in the caudal anterior cingulate cortex (cACC). Conclusion Our results revealed the spatiotemporal neurofunctional patterns during toothache process and preliminarily elucidated the role of NR2B in cACC in the regulation of toothache-related affective behaviors.
Study on Chip Formation in Grinding of Nickel-Based Polycrystalline Superalloy GH4169
Authors: Zhu Tao , Cai Ming , Gong Yadong , Gao Xingjun , Yu Ning , Li Xiang 
Published: December 2021

Abstract
Based on the variation of the actual cutting depth during the grinding process, a 3D finite element (FE) simulation model for grinding nickel-based superalloy GH4169 with single abrasive was initially constructed. Then the morphological evolution of the grinding chips during the grinding process was studied. In addition, the effect of the single abrasive cutting depth and the grinding speed on chip morphology and segmentation frequency was investigated. Finally, experimental results with the same test parameters verify the finite element simulation results. The results showed that in the experimental grinding speed range, the sawtooth lamellar chip with the free surface being serrated and the contact surface being smooth due to the extrusion of the abrasive is easy to produce when grinding nickel-based superalloy GH4169. As the grinding speed increases, the chip morphology changes from a unitary lamellar chip to a continuous serrated chip, developing into a continuous ribbon chip. The chip segmentation frequency is mainly determined by grinding depth and grinding speed. To be specific, the smaller the grinding depth and the greater the grinding speed, the greater the chip formation frequency.
Applicability of Endobronchial Ultrasound and Virtual Bronchoscopic Navigation Combined with Rapid On-Site Evaluation in Diagnosing Peripheral Lung Lesions
Authors: Qi Jia-Chao , Liao Liping , Zhao Zhiwei , Zeng HuiXue , Wang Tiezhu , Hu Miaofen , Wang LiJv , Wu Zhi , Ye Yuming , Ou Yangwu , Cai Zhiming , Wu Qiyin , Xu Qiaozhen , Zhang Weiliang , Huang Wensen , Li Hao , Lin Li 
Published: December 2021

Abstract
Background

To investigate the value of endobronchial ultrasound (EBUS) and virtual bronchoscopic navigation (VBN) combined with rapid on-site evaluation (ROSE) in diagnosing peripheral pulmonary lesions (PPLs).
Methods

Between January 1st 2019 to September 1st 2021, EBUS and VBN examination were performed in 250 consecutive patients with PPLs who were admitted to Zhangzhou Affiliated Hospital of Fujian Medical University (Fujian, China). Finally, 198 eligible patients were randomly divided into ROSE group (100 cases) and non-ROSE group (98 cases). The diagnostic yield of brushing and biopsy, the complications, the procedure time, the diagnosis time and expense during diagnosis were analyzed.
Results

In the ROSE group, the positive rate of EBUS brushing and biopsy were 68%, 84%, repectively. The average procedure time and diagnosis time were 18.6 ± 6.8 min, 3.84 ± 4.28 days, repectively, and the average expense was 4093.15 ± 4494.67 yuan. In the controls, the positive rate of brushing and biopsy were 44%, 74%, repectively. The average procedure time and diagnosis time were 15.4 ± 5.7 min, 6.46 ± 3.66 days, repectively. And the average expense during diagnosis was 6420.28 ± 4541.33 yuan. There was significant difference in the positive rate of EBUS brushing and biopsy, diagnosis time and expense during diagnosis between both groups. And no significant difference was observed in the complications and the procedure time. Additionally, the impact of ROSE on diagnostic yield in right upper lobe and the size of lesion ≤2 cm in diameter was significant.
Conclusion

In combination with ROSE, EBUS could significantly improve the positive rate of diagnosing PPLs, shorten diagnosis time and reduce expense during diagnosis. ROSE will be of great importance in the diagnosis of PPLs and medical resource.
Geodetic Landmarks Soil Loss Susceptibility Using RUSLE and Climate Change Scenarios
Authors: Silveira Leonard Niero da , Nascimento Víctor Fernandez , Casagrande Fernanda , de Souza Sergio Florencio , Ometto Jean Pierre Henry Balbaud 
Published: December 2021

Abstract
Geodetic landmarks (GLs) are essential for obtaining the precise height, horizontal coordinates, and the Earth's gravity field. Once physically implanted on the surface, they are susceptible to movement and displacement. This study aims to assess the soil susceptibility of GLs for past and future scenarios through the Revised Soil Loss Equation (RUSLE). So the soil loss estimations were made for the GLs in Brazil's southern Santa Catarina region. Our results showed average soil loss values, reaching 175915 t/ha/year, while the GLs were 2109 t/ha/year. There was an increase in GLs in the null class, mainly caused by urban infrastructure increase. At the same time, a decrease occurred in the low, very severe, severe, and moderate classes. In contrast, for future scenarios, an increase in the GLs average soil loss was found until 2100. However, it is essential to highlight that the most relevant increase occurred in the 2021-2040 period. After that, some scenarios as ssp126 remained stable, ssp245 and ssp370 slightly increased while ssp585 increased the most, reaching a maximum value of 2364 t/ha/year until 2100. There are a stability in the null class with a little decreasing in the low and moderate classes. In severe and very severe classes, there are a increase in the almost all scenarios. This behavior take account only the rainfall, thus for a better analysis, would be necessary the forecast of land cover change. Therefore, the climate simulations can be used to understand the effects of climate change on soil erosion to support decision-making.