bluuebunny/crossref_metadata_2025_split huggingface dataset:
DHHC2-Mediated AKAP150 Palmitoylation Regulates Hippocampal Synaptic Plasticity and Fear Memory
Authors: Li Meng-Die , Huang Dan-Hong , Zheng Yu-Qi , Tian Dan , OuYang Hui , Song Ke-Xin , Huang Zhen , Lin Xiao-Shan , Zhu Xiao-Qian , Huang Jun-Jie , Wang Si-Ying , Chen Wei-Kai , Yang Shao-Wei , Liu Jian-Min , Xia Zhi-Xuan , Shen Zu-Cheng 
Published: November 2022

Abstract
Background
A-kinase anchoring protein 79/150 (AKAP150) has been suggested to be involved in learning and memory, and synaptic plasticity in the hippocampus is closely associated with memory. However, its effect and underlying mechanisms have not yet been fully elucidated.
Result
Here, we show that there is a significant increase in global and AKAP150 palmitoylation level after high frequency stimulation (HFS). 2-bromopalmitic acid (2-BP), a palmitoylation inhibitor, attenuated the increased palmitoylation level of AKAP150, and abolished the increased interaction between AKAP150 and postsynaptic density protein 95 (PSD-95) induced by HFS. We also found that HFS increased the synaptic expression of protein kinase A (PKA), but not calcineurin (CaN), and the HFS-mediated high affinity binding of PKA to AKAP150 was reversed by 2-BP. Furthermore, the activity of DHHC2, an enzyme responsible for palmitoylation of AKAP150, was upregulated after HFS, and DHHC2 knockdown decreased the level of glutamate receptor 1 phosphorylation at Ser845, as well as induced an impairment of long term potentiation (LTP) in the hippocampus. Importantly, DHHC2 knockdown in the hippocampus impaired the LTP induced by fear conditioning, as well as fear memory.
Conclusion
Our results suggest that DHHC2-mediated AKAP150 palmitoylation plays a critical role in the regulation of hippocampal synaptic plasticity and fear memory.
Use of Icts: What Effect on Youth Access to Employment in Cameroon?
Authors: NOUFFEUSSIE Astride Claudel NJIEPUE , MEKA'A Cosmas Bernard , NOUFELIE Romus , BALGUESSAM Bruno NDOUYANG 
Published: November 2022

Abstract
Based on ECAM4 (2014) database, this paper aims at analysing the effect of Information and Communication Technologies (ICTs) based on youth’s access employment aged between 15-35 years old in Cameroun. The cases of employees of more than 15 and thos of more than 35 years old are considered for comparisons. In order to solve the endogeneity bias of the simple probit model, a robust instrumental variable probit model was used, and this gave consistent results with regard to the diagnostics based on the specificity/sensitivity tests. The estimates suggest that: (i) using the internet increases the chances of getting a job, and this for all age group considered; (ii) this increase it between 17-38% for youth, 0.39-1.118% for seniors and 18-40% for all workes; (iii) compared to senior employees, the young internet users are 25 times luckier to find a job. Finally, this result is in accordance with the literature which considers ICTs as the most important component of labor market.
Enantioselective copper-catalysed cascade hydroboration and hydroallylation of alkynes to access chiral homoallylic boronates
Authors: Wang Simin , Niu Junbo , Guo Xiaobing , Li Yanfei , Yuan Xiuping , Yin Jianjun , Xiong Tao , Zhang Qian 
Published: November 2022

Abstract
Chiral homoallylic boronates are not only deemed to be the precursors of some valuable skeletons that are prevalent in natural products and pharmaceuticals, but also the versatile building blocks by the two versatile boronate and olefin fragment reaction handles. However, the development of a general and economic synthetic approach for their preparation remains an ongoing challenge. Herein, we describe a general copper-catalysed 1,1-difunctionalization of alkynes, consisting of a cascade hydroboration and asymmetric hydroallylation reaction, furnishing a general, economic and concise approach to chiral homoallylic secondary boronates. This catalytic system displays excellent chemo-, regio- and enantioselectivity, and also showcases good functional group tolerance and a broad scope of substrates (> 120 examples). Equally importantly, industrially relevant acetylene and propyne can also be successfully incorporated, laying the foundation for scalable and economic synthetic applications. In addition, the potential of this method is further highlighted through an array of late-stage functionalization of complicated, biologically active molecules and further applications of chiral homoallylic secondary boronates.
Efficient Design of Static Segment Inaccurate Multiplier using Leading One-Bit Approach for Image Processing Applications
Authors: Daram Tilak Raju , Srinivasa Y. 
Published: November 2022

Abstract
Traditionally, Image processing applications perform momentous data refinement. One of the most efficacious methods for data manipulation in multiple image processing applications is approximate computing. This mitigates the circuit complexity and thereby reinforces the power, latency, and area metrics. Furthermore, multiplication is also an essential operation in most image-processing applications. In the current scenario, numerous existing state-of-the-art multipliers employed approximation computation techniques to raise the design metrics with limited accuracy. As a consequence, this paper instigates two novel multipliers, namely, one-bit Based Static Segment Inaccurate Multipliers - LBSSIM0 and LBSSIM1, with and without a Hybrid Estimator Logic Circuit (HELC), so as to revamp the accuracy and design metrics. The HELC function is to efface the lower-order significant input bit width data and conceal the inaccurate multiplication of the proposed LBSSIM designs using the barrel shifter and the leading unit. The preferred inaccurate multipliers are simulated and synthesized using Xilinx Vivado, MATLAB, and Cadence RTL compilers for the input widths of 8-bit, 16-bit, and 32-bit. The results reveal that the recommended LBSSIMs dwindle the delay, area, energy, and power on an average of 32.13%, 65.23%, 57.12%, and 64.3%, respectively, with the state-of-the-art Inaccurate Multipliers (IMs). It is also unveiled through the simulation results that the proposed LBSSIMs reinforce the performance of accuracy metrics, namely, MRED, NED, MED, and WCE, on an average of 42.12%, 17.23%, 46.54%, and 28.24%, respectively, as opposed to the state-of-the-art IMs. Eventually, after incorporating the proposed LBSSIMs in the image processing applications, they purveyed higher Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM) when collated with the state-of-the-art IMs.
Comparison and validation of different risk models for papillary renal cell carcinoma
Authors: Lin Haiyue , Sun Qi , Quan Xiaolin , Zheng Jingmei , Zhang Xue , Xiong Ying , Hou Yingyong , Xi Wei , lin Jinglai 
Published: November 2022

Abstract
Background: Several prognostic algorithms were specifically or non-specifically used for papillary renal cell carcinoma (PRCC). No consensus was reached upon their efficacy of discrimination. We aim to compare the stratifying ability of current models or systems in predicting the risk of recurrence of PRCC.
Methods: A PRCC cohort consisting of 308 patients from our institution and 279 patients from TCGA was generated. With ISUP grade, TNM classification, UISS, SSIGN, Leibovich model and VENUSS system, recurrence-free survival (RFS), disease-specific survival (DSS) and overall survival (OS) were studied using Kaplan-Meier method and concordance index (c-index) was compared. Differences between risk groups in gene mutation and infiltration of inhibitory immune cells were studied with TCGA database.
Results:All the algorithms were able to stratify patients in RFS as well as DSS and OS (all p<0.001). VENUSS score and risk group generally had the highest and balanced c-index (0.815 and 0.797 for RFS). ISUP grade, TNM stage and Leibovich model had the lowest c-indexes in all analysis. Among the 25 most frequently mutated genes in PRCC, eight had different mutation frequency between VENUSS low- and intermediate-/high- risk patients and mutated KMT2D and PBRM1 resulted in worsened RFS (p=0.053 and p=0.007). Increased Treg cells in tumors of intermediate-/high- risk patients were also identified.
Conclusions: VENUSS system showed better predictive accuracy in RFS, DSS and OS compared with SSIGN, UISS and Leibovich risk models. VENUSS intermediate-/high- risk patients had increased frequency of mutation in KMT2D and PBRM1 and increased infiltration of Treg cells.
Health-related Quality of Life Among Breast Cancer Patients Referred for Radiotherapy During the Covid 19 Pandemic Using a Validated, Culture-specific Questionnaire
Authors: Crisostomo Benedict Mihangel , Sugui Ricci Pilar 
Published: November 2022

Abstract
Purpose: The objective of this study was to assess the health-related quality of life (HR-QoL) of breast cancer patients referred for radiotherapy during the COVID-19 pandemic.
Methodology: This cross-sectional analysis included histopathologically-proven breast cancer patients referred for radiotherapy at the Philippine General Hospital from June to October 2020. The University of the Philippines-Department of Health Quality of Life Scale for Cancer Patients was used to assess the HR-QoL of the respondents across five domains.
Results: A total of 60 respondents (median age of 52, range 33-71) were surveyed and eligible for analysis. College degree holders and good performers were associated with higher HR-QoL scores (p=0.008). The median interval from diagnosis to survey was 10.7 (SD±6.18) months and a longer illness duration was detrimental to HR-QoL. Overall, the global HR-QoL score was high (80.0% of respondents, HR-QoL score of 5.38±0.46). This was observed in all, except for the cognitive domain where HR-QoL was moderate among respondents (4.24±0.76).
Conclusion: This assessment was conducted within seven months into the pandemic, when an overall high HR-QoL score was observed among breast cancer patients. With further restrictions in treatment census encountered during the pandemic, strategies are recommended to address these indicators of health related QoL in this patient population through equitable and prompt access to needed care, such as radiotherapy.
Education for Being A Spine Endoscopic Surgeon: What Matters?
Authors: Xie Yizhou , Zhou Qun , Wang Yongtao , Feng Chengzhi , Yu Yang , Fan Xiaohong 
Published: November 2022

Abstract
Objectives
Spine endoscopic surgery has been promoted rapidly in the past decade attracting more and more spine surgeons of young generations to be dedicated in. However, it has long been denounced of its long learning curve as a factor to impede the state-of-the-art technique to continually develop. Current study is aimed to dig out what vitally matters in the educational process for being a spine endoscopic surgeon.
Methods
The online survey consisted of fourteen compulsory questions and was distributed in April and May 2022 through the First Chinese Spinal Endoscopic Surgeons Skills Competition. Reminders were sent to improve the response rate.
Results
We received 637 responses out of 2893 emails which had been sent out. 375 surgeons (76.7%) most frequently used endoscopic technique in their practices. Regardless of their different background, 284 of them (75.7%) thought it would be necessary for a young spine endoscopic surgeon to perform 300 cases independently in order to become proficient, followed by 500 cases (43, 11.5%), 100 cases (40, 10.7%) and 1000 cases (8, 2.1%). According to the surgeons, the most difficult aspect to master endoscopic technique is disparate surgical view (255, 68%), followed by novel instrument adaption (86, 22.9%) and hand-eye coordination (34, 9.1%). The most helpful training method to facilitate spine endoscopic surgeon of younger generation to improve is operating on simulation models or cadaver courses(216, 57.6%), followed by online or offline theoretical courses (67, 17.9%), acquiring the opportunities during surgeries (51, 13.6%) and frequently participating in surgeries as an assistant (41, 10.9%).
Conclusion
From the perspective of surgeons, to be skilled in spine endoscopic surgery has to overcome a steep learning curve. However, training system should be attached more importance to make it more accessible for surgeons of younger generations to operate on simulation models or take cadaver courses.
Enzymatic modification of plant proteins for improved functional and bioactive properties
Authors: Olatunde Oladipupo Odunayo , Owolabi Iyiola Olayinka , Fadairo Olamide Sulaimon , Ghosal Anujit , Coker Oluwafemi Jeremiah , Soladoye Olugbenga Philip , Aluko Rotimi E. , Bandara Nandika 
Published: November 2022

Abstract
Plant-based proteins have shown great potential as an alternative substitute for animal proteins to meet the increasing global demand. Nevertheless, several limitations mitigate plant-based protein application and utilization. As a panacea to meeting the market demand, it is imperative to modify plant-based proteins to produce improved quality and techno-functionalities compared to conventional animal protein ingredients. Enzymatic, chemical, and physical modifications have been used for plant-based proteins, which has shown exciting results in improving their techno-functional properties, digestibility, and inherent allergenicity. Among these modification methods, the low cost, limited time, high sensitivity, and high reproducibility give enzymatic modification leverage over chemical and physical methods. This review gave a concise summary of the advantages and disadvantages of enzymatic modifications. The efficacy of enzymatic modification in producing protein ingredients from plant sources with improved techno-functional properties, digestibility, and alleviated allergenicity was discussed. Furthermore, the application of enzymatic modification in the production of bioactive compounds with health-beneficial properties adds in no small measure to the novelty of this review.
A simple and effective method to purify and activate T cells for successful generation of chimeric antigen receptor T (CAR-T) cells from patients with high monocyte count.
Authors: Wang Haiying , Tsao Shih-Ting , Gu Mingyuan , Fu Chengbing , He Feng , Li Xiu , Zhang Mian , Li Na , Hu Hong-Ming 
Published: November 2022

Abstract
Background Chimeric antigen receptor T (CAR-T) cells are genetically modified T cells with redirected specificity and potent T-cell-mediated cytotoxicity toward malignant cells. Despite several CAR-T products being approved and commercialized in the USA, Europe, and China, CAR-T products still requires additional optimiztion to ensure reproducible and cost-effective manufacture. Here, we investigated the critical parameters in the CD3+ T-cell isolation process that exihibited a significant impact on the success of CAR-T manufacture.
Methods CAR-T cells were prepared from cryopreserved peripheral blood mononuclear cells (PBMC). The thawed PBMC was rested overnight prior to the CD3+ T cell isolation process using CTS™ Dynabeads™ CD3/CD28. Different isolation media, cell-bead co-incubation time, and cell density were examined in this study. Activated CD3+ T cells were transduced with a gamma retroviral vector carrying the CD19 or BCMA CAR sequence. The CAR-T cells proliferated in a culture medium supplemented with interleukin 2 (IL-2).
Results We found that CD14+ monocytes hindered T-cell isolation when X-VIVO 15 basic medium was used as the selection buffer and the activation of T cells was blocked because monocytes actively engulfed CD3/28 beads. In contrast, when DPBS was as the selection medium, the T-cell isolation and activation were no longer blocked even in patients whose PBMC contains abnormally high CD14+ monocytes and a low level of CD3+ T cells.
Conclusions In this study, we discovered that the selection of CD3+ T-cell isolation media is critical for the success of T-cell activation, transduction, and CAR-T proliferation. Using DPBS as a CD3+ T cell isolation buffer significantly improved the success rate and shortened the duration of CAR-T production. The optimized process has been successfully applied in our ongoing clinical trials.
Trial registration: NCT03798509: Human CD19 Targeted T Cells Injection Therapy for Relapsed and Refractory CD19- positive Leukemia. Date of registration: January 10, 2019.
NCT03720457: Human CD19 Targeted T Cells Injection (CD19 CAR-T) Therapy for Relapsed and Refractory CD19-positive Lymphoma. Date of registration: October 25, 2018.
NCT04003168: Human BCMA Targeted T Cells Injection Therapy for BCMA-positive
Relapsed/Refractory Multiple Myeloma. Date of registration: July 1, 2019.
Identification and Experimental Validation of Autophagy-Related Genes in Abdominal aortic aneurysm
Authors: Yuan Xiaoli , Song Yancheng , Xin Hai , Zhang Lu , Liu Bingyu , Ma Jianmin , Sun Ruicong , Guan Xiaomei , Jiang Zhirong 
Published: November 2022

Abstract
Aim
Autophagy plays essential roles in abdominal aortic aneurysm (AAA) happening and movement. The objective of this study was to verify the autophagy-related genes (ARGs) underlying AAA empirically and using bioinformatics analysis.
Methods
Two gene expression profile datasets (GSE98278 and GSE57691) were taken from the GEO database. These datasets were combined and then standardized. The underlying differential expression autophagy-related genes (DEARGs) of AAA were tested using R software. PPIs, associativity, GO enrichment and KEGG pathway functional analyses were used to identify the DEARGs. Finally, qRT-PCR was used to identify the RNA expression levels of the top five hub genes in clinical samples.
Results
In data from 97 AAA patients and 10 healthy controls, a total of 44 DEARGs (6 up-regulated expressed genes and 38 down-regulated expressed genes) were classified. PPI results showed that these ARGs interact. GO and KEGG enrichment analyses were directed to elucidate the bio-functional of DEARGs. qRT-PCR results presented that the expressed of IL6, PPARG, SOD1 and MAP1LC3B in AAA cases and negative control were in accordance with the bioinformatic analysis results.
Conclusion
Hub genes such as IL6, PPARG, SOD1 and MAP1LC3B may influence the happening of AAA by controlling autophagy. These findings enhance interpretation of AAA and may be helpful in its diagnosis and treatment.
Premenopausal Breast Cancer: Comparative analysis of clinical, pathological features and survival with postmenopausal breast cancer from an Indian cohort
Authors: Nimbalkar Vidya Prasad , Rajarajan Savitha , VP Snijesh V , Alexander Annie , Kaluve Rohini , Ramesh Rakesh , BS Srinath , Prabhu Jyothi S 
Published: November 2022

Abstract
Purpose
Breast cancer (BC) among premenopausal women is an aggressive disease associated with poor outcome despite intensive treatment. Higher burden is observed in southeast Asian countries attributed to younger population structure.
Methods
We compared the reproductive and clinicopathological characteristics, distribution of subtypes and survival between pre and postmenopausal women from a retrospective cohort of BC patients with median follow up over 6 years to examine the differences.
Results
In our cohort of 446 BC patients,162/446 (36.3%) were premenopausal. Parity and age at last childbirth were significantly different between pre and postmenopausal women. Premenopausal BC had higher proportion of HER2 amplified and triple negative breast cancer (TNBC) tumors (p = 0.012). Stratified analysis by molecular subtypes showed TNBC had significantly better disease free (DFS) and overall survival (OS) among premenopausal group (mean survival, pre vs post, DFS = 79.2 vs 54.0 months, OS = 72.5 vs 49.5 months, p = 0.002 for both). Analysis on external datasets (SCAN-B, METABRIC) confirmed this finding for overall survival.
Conclusion
Our data confirmed the previously observed association of clinical and pathological features between pre and postmenopausal BC. Exploration of better survival among premenopausal TNBC tumors is warranted in larger cohorts with long term follow up.
Functional connectivity between red nucleus and putamen predicts clinlcal response of STN-DBS
Authors: Ni Chen , Yin Jin , Xiong Chi , Jiang Manli , Chen Peng , Chang Bowen , Mei Jiaming , Liu Aiping , Niu Chaoshi 
Published: November 2022

Abstract
Background:While deep brain stimulation (DBS) of subthalamic nucleus (STN) is proved effective in managing motor symptoms of Parkinson's disease, it has substantial individulized variability of clinlcal responses. Prediction of treatment outcomes is therefore beneficial for surgical planning. This study aims to examine the capability of preoperative resting state brain connectivity as a potential tool to predict the clinlcal response of STN-DBS.
Method: We collected the preoperative resting state functional Magnetic Resonance Imaging (MRI) of 41 participants who received DBS in the STN. The subcortical connectivity networks were estimated and correlated with postoperative exercise results. Linear regression was further used to predict the surgical improvements.
Results: Functional Connectivity (FC) between subcortical nuclei of interest and DBS response showed that FC from bilateral red nuclei to putamen was related to the overall changes of UPDRS-III (left: r = -0.44 p = 0.0056, right r = -0.46 p = 0.0029, p < 0.05 after FDR correction). Additionally, FC can predict the changes of UPDRS III at 1 year after DBS (r = 0.5 p = 0.0011 error rate = 0.175 ).
Cloclusions: The increased connectivity of the red nuclei in patients with Parkinson's disease may be a compensatory response to central nervous system damage. Functional MRI studies support the long-standing view that relatively intact cerebellar circuits can compensate for impaired basal ganglia function. Neuroplasticity is an adaptive mechanism that compensates for loss of function or maximizes residual function, leading to changes in brain function and morphology. This compensatory brain plasticity may be the reason why DBS improves the motor symptoms of Parkinson's disease.
Characterization of the fatty acid metabolism gene signature in gastric cancer to assist precision treatment in chemotherapy
Authors: Xiao Jun , Zheng Ling-Yan , Liu Wenju , Zang Wei-Dong 
Published: November 2022

Abstract
Objective
This project evaluated the efficacy of fatty acid metabolism (FAM) in gastric cancer (GC) with pII/III stage to explore potential therapeutic strategies.
Methods
Clinical features, transcriptome expression and follow-up information were downloaded from TCGA and GEO databases. "Limma" package serves to analyze differentially expressed genes (DEG). We applied "clusterprofiler" package to carry out GO and KEGG aggregation analysis on DEG. The "maftools" package was used to analyze gene transformation and association. "Coef" refers to the non-zero correlation coefficient estimated according to lasso cox regression analysis. The half maximum inhibitory concentration (IC50) is calculated according to the "prrophytic" package. We also used the "rms" package to structure nomograms.
Results
A digital model of the risk score was established by using ten FAM genes. Compare to the low-risk group, the high-risk group has a worse prognosis (p < 0.001). ROC, univariate and multivariable cox analysis all verified the above results. We also constructed nomograms based on age, sex, pathological TNM stage and risk scores. The high-risk score sample is not particularly sensitive to 5-Fu chemotherapy, and the Tumor immune dysfunction and rejection (TIDE) index of the high-risk group is higher, which indicates that the high-risk group may be more prone to immune escape.
Conclusion
The FAM gene model believes that the low-risk groups have better 5-Fu drug sensitivity, lower probability of immune escape, and better prognosis.