124 research outputs found
m6A-modified circXPO1 accelerates colorectal cancer progression via interaction with FMRP to promote WWC2 mRNA decay
No full textIs Emerging Nanomedicine a Friend or Foe to Germ Cells?
No full textHui Yu,1,2,* Chunhui Hu,3,* Xuelin Wang,1 Ying Zhang,1 Nanhui Zhang,1 Pengxia Yu,1,2 Kai Lian,1 Jiaolong Huang,1 Peng Duan1,2 1Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, 441000, People’s Republic of China; 2Hubei Provincial Clinical Research Center for Accurate Fetus Malformation Diagnosis, Department of Obstetrics and Gynecology, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, 441000, People’s Republic of China; 3Department of Clinical Laboratory, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, 441000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Peng Duan, Email [email protected] Jiaolong Huang, Email [email protected]: Nanomaterials are increasingly applied in biomedicine and have significant potential in reproductive medicine. However, because they can impact germ cells, use of nanomaterials could represent a “double-edged sword”, whose benefits must be balanced with the possible risks. Because of their excellent physicochemical properties, nanoparticles (NPs) can serve as multi-functional platforms for targeted drug delivery, enhancing outcomes in assisted reproductive technologies, refining in vitro culture systems, and improving the precision of diagnostic imaging. Nevertheless, accumulating evidence indicates that various NPs, including metallic and polymeric forms, can accumulate in reproductive tissues and induce detrimental effects, primarily through increased oxidative stress, DNA damage, and activation of apoptotic pathways. Moreover, NPs can directly compromise gamete quality and function: in oocytes, NP exposure can disrupt key processes, such as meiotic spindle assembly and chromosomal segregation; while in sperm, NPs can impair critical functions, such as histone-to-protamine exchange and mitochondrial integrity. The delicate balance between the benefits and risks of NP use are profoundly influenced by their physicochemical properties. This review critically assesses the “friend or foe” duality of NP use in reproductive medicine, by systematically analyzing their beneficial applications in contrast with their potential for NP-induced toxicity. Mechanistic pathways of NP toxicity are described, and the necessity of a safety-focused approach for the future development of reproductive nanomedicine is emphasised.Keywords: nanoparticles, reproductive medicine, oxidative stress, gamete quality, nanotoxicolog
Treatment of Cancer Gene Changes in Chronic Myeloid Leukemia by Big Data Analysis Platform-Based Dasatinib
No full textBased on data mining, an innovative big data analysis platform was utilized to discuss the treatment of cancer in chronic myeloid leukemia (CML) by dasatinib, aiming to offer help to the diagnosis and treatment of cancer. An integrated gene expression analysis system (IEAS) was firstly constructed to automatically classify data in the online human Mendelian genetic database using clustering algorithms. At the same time, the gene expression profile was analyzed by principal component analysis (PCA) in the analysis system. In addition, the efficacy of dasatinib in the treatment of patients with advanced CML was then retrospectively analyzed. The results showed that the IEAS system could incorporate the gene expression analysis vectors it contained by JAVA-related technologies, and the generated clustering genes showed similar functions. The clustering algorithm could homogenize data and generate visual clustering heat maps. The analysis results of major elements were diverse under different experimental conditions. The characteristic value of the first major element was the largest. Messenger ribonucleic acid (mRNA) datasets of CML patients were selected from cancer genomic map, including 120 samples and 20,614 mRNA in total. In micro-RNA (miRNA) datasets, there were 202 samples including 1,406 miRNAs. Data were screened by miRNA–mRNA regulation template, and 20 differentially expressed mRNAs were obtained. In conclusion, the proposed IEAS system could mine and analyze the gene expression data. Dasatinib showed good efficacy in the treatment of patients with advanced CML. Besides, it could improve visual queries, and data mining had a broad application prospect in clinical application. Dasatinib was considered to be a good option for patients with advanced CML
One step hydrothermal synthesis of carbon nanodots to realize the fluorescence detection of picric acid in real samples
No full textLow-Carbon Travel Behavior in Daily Residence and Tourism Destination: Based on TPB-ABC Integrated Model
No full textLow-carbon travel is considered as one of the most important strategies to reduce transportation carbon emissions, and its success is decided by the active participation of residents. Based on the theory of planned behavior (TPB) and Attitude-Behavior-Context theory (ABC), this study explores the influencing factors and formation paths of individual low-carbon travel behavior, and analyzes low-carbon travel behavior regarding both daily commuting from residence and tourism destinations. This study collects a sample of 506 respondents and uses Mplus 8.0 to examine the hypotheses. Empirical research results indicate that: (1) A certain gap exists in the individuals’ low-carbon travel behavior between daily residence and tourism destination. Differences exist in direct effects, mediating effects and moderating effects. (2) Low-carbon travel behavioral intention plays a significant mediating role in both daily residence and tourism destination, especially the former. Regarding daily residence, individuals’ attitude, subjective norms and perceived behavioral control have a positive effect on behavior through behavioral intention. Regarding tourism destination, only the attitude-low-carbon travel behavioral intention-behavior path is significant. (3) Situational factors play a significant positive moderating effect on the relationship between low-carbon travel behavioral intention and behavior, especially in tourism destination. This study reveals the internal mechanism of individuals’ low-carbon travel behavior and the differences between travel in daily life and tourism, helping to deepen understanding of individuals’ low-carbon travel behavior and providing guidance for promoting individuals’ low-carbon travel
Mediating Effect of Organizational Learning Capacity on the Relationship between Relational Embeddedness and Innovation Performance in Freight Logistics Service
No full textCooperative innovation has become a critical method for freight logistics firms in supply chain management. The previous study has proved that relational embeddedness (RE) has a positive effect on service innovation performance. However, the influence of organizational learning capacity (OLC) has been widely ignored. This study focuses on explaining the mechanism of OLC on the relationship between RE and innovation performance of freight logistics service (IPFLS). Firstly, a theoretical model is constructed based on Social Network Theory, and four research hypotheses are presented. Secondly, a sample of 236 respondents from freight logistics firms in China is analyzed to test the hypotheses. Finally, several management implications and recommendations are suggested. The research results demonstrate that both RE and OLC have positive effects on IPFLS. Meanwhile, OLC partially mediates the relationship between RE and IPFLS. The findings provide practical guidance for managers to strengthen the relationship with partners and enhance OLC
Circular RNAs as a potential source of neoepitopes in cancer
No full textNeoepitopes have attracted much attention as targets for immunotherapy against cancer. Therefore, efficient neoepitope screening technology is an essential step in the development of personalized vaccines. Circular RNAs (circRNAs) are generated by back-splicing and have a single-stranded continuous circular structure. So far, various circRNAs have been poorly characterized, though new evidence suggests that a few translated circRNAs may play a role in cancer. In the present study, circRNA was used as a source of neoepitope, a novel strategy as circRNA-derived neoepitopes have never been previously explored. The present study reports CIRC_neo (circRNA-derived neoepitope prediction pipeline), which is a comprehensive and automated bioinformatic pipeline for the prediction of circRNA-derived neoepitopes from RNA sequencing data. The computational prediction from sequencing data requires complex computational workflows to identify circRNAs, derive the resulting peptides, infer the types of human leukocyte antigens (HLA I and HLA II) in patients, and predict the neoepitopes binding to these antigens. The present study proposes a novel source of neoepitopes. The study focused on cancer-specific circRNAs, which have greatly expanded the source pool for neoepitope discovery. The statistical analysis of different features of circRNA-derived neoepitopes revealed that circRNAs could produce long proteins or truncated proteins. Because the peptides were completely foreign to the human body, they could be highly immunogenic. Importantly, circRNA-derived neoepitopes capable of binding to HLA were discovered. In the current study, circRNAs were systematically analyzed, revealing potential targets and novel research clues for cancer diagnosis, treatment, and prospective personalized vaccine research
Sugars in postharvest lotus seeds were modified by 6-benzylaminopurine treatment through altering related enzymes involved in starch-sucrose metabolism
No full textEffects of in‐package atmospheric cold plasma treatment on the qualitative, metabolic and microbial stability of fresh‐cut pears
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