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6. Clinical Application of PINK1 and ACSL4 Protein Levels in the Acute Myocardial Infarction Patients and Prognosis Evaluation After PCI

Author

Ao,Wei, Duan,Ping, Luo,Ping, Xiang,Dikai, Wang,Qin, Ren,Yanjiao, He,Qiwei, Ao,Wei, Duan,Ping, Luo,Ping, Xiang,Dikai, Wang,Qin, Ren,Yanjiao, and He,Qiwei

Abstract

Wei Ao,1 Ping Duan,2 Ping Luo,1 Dikai Xiang,1 Qin Wang,1 Yanjiao Ren,1 Qiwei He1 1Department of Cardiology, Yueyang People’s Hospital, Hunan Normal University, Yueyang City, Hunan Province, 414000, People’s Republic of China; 2Department of Cardiology, Shanghai Seventh People’s Hospital, Shanghai City, 200000, People’s Republic of ChinaCorrespondence: Qiwei He, Department of Cardiology, Yueyang People’s Hospital, Hunan Normal University, No. 263 Baling East Road, Yueyanglou District, Yueyang City, Hunan Province, 414000, People’s Republic of China, Tel +8615173044525, Email Yueshao1990@163.comObjective: To explore the clinical application of PTEN-induced kinase 1 (PINK1) and acyl-CoA synthetase long chain family 4 (ACSL4) protein levels in patients with acute myocardial infarction (AMI) and the prognosis evaluation after percutaneous coronary intervention (PCI).Methods: 152 AMI patients who underwent PCI at our hospital from October 2021 to February 2023 were selected as the study group. They were divided into a MACE group (31 cases) and a non MACE group (121 cases) based on the major adverse cardiovascular events (MACE) within 28 days after PCI. Additionally, 152 angina pectoris patients admitted during the same period were selected as the control group. Measure and analyze the levels and clinical significance of PINK1 and ACSL4 proteins in all study subjects.Results: The PINK1 protein level in the study group was lower than that in the control group, while the PINK1 protein level in the MACE group was lower than that in the non MACE group (P< 0.05), while the ACSL4 protein level was the opposite (P< 0.05); PINK1 expression was negatively correlated with SYNTAX score (r=− 0.602, P< 0.05), while ACSL4 expression was positively correlated with SYNTAX score (r=0.683, P< 0.05); Age, LVEF, and ACSL4 were risk factors for poor prognosis in AMI patients after PCI, while PINK1 was a protective factor (P< 0.05); The combined prediction of PINK1

Published
2024

7. Computational analysis of circadian-rhythm dysregulated genes exhibiting undifferential expression in <italic>Oryza sativa</italic>.

Author

Ren, Yanjiao, Li, Wei, Gao, Yimeng, Ma, Li, Lan, Jie, Huang, Lan, Li, Kewei, Fan, Yusi, Liang, Yanchun, Yu, Helong, and Zhou, Fengfeng

Abstract

Differential expression(DE) analysis identifies genes with differential expressions in a phenotype, but it cannot detect coordinated regulations of a gene from its transcription factors(TFs). This study selected rice diurnal rhythmic samples to train a transcriptional regulatory relationship model, which was used to predict the expression levels of target genes based on those of TFs in the other samples. The difference between the predicted and real expression levels of a target gene in a sample was defined as this gene’s model-based quantitative transcription regulation alternation (mqTrans) value. This study paid special attention to those genes with significant changes in their mqTrans values but without differential expression patterns, which were called dark biomarkers of rice circadian rhythm. The investigation revealed three dark biomarkers that were otherwise ignored by the conventional biomarker studies due to the undifferential expressions. One detected dark biomarker Os11g0135400 was crucial for rice circadian changes, but they were not on the list of published genes that were differentially expressed in circadian rhythm changes. This study captured important circadian rhythmic biomarkers ignored by traditional biological and computational methods. The proposed mqTrans analysis and the detected dark biomarkers contributed complementary information to the understanding of the rice circadian rhythmic mechanism. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Density functional theory study on the reaction mechanism of Ni+-catalysed cyclohexane dehydrogenation.

Author

Yuan, Yongning, Yuan, Nini, Guo, Tuo, Bai, Hongcun, Xia, Hongqiang, Ren, Yanjiao, and Guo, Qingjie

Subjects
DENSITY functional theory, CHEMICAL bonds, CYCLOHEXANE, DENSITY functionals, POTENTIAL energy surfaces, ANALYTICAL chemistry
Abstract

A detailed theoretical analysis of the mechanism of chemical bond activation in cyclohexane catalysed by the atomic transition-metal cation Ni+ was performed by density functional theory/Hartree–Fock method (B3LYP). A potential energy surface (PES) analysis demonstrated the existence of no PES crossover and that the entire reaction proceeded in doublet PESs. The singlet dehydrogenation of cyclohexane can be induced by monometallic cation Ni+, the second molecule H2 on the same and the first molecule D2 on the different sides only with low yield. In order to reveal the nature of the reaction, the mechanisms of activation of the cyclohexane C–H and C–C bonds were systematically investigated. Regardless of whether C–H or C–C bonds are activated, the process was predicted to proceed via an insertion–elimination mechanism. The average local ionisation energy indicated the H atom in cyclohexane to be the most vulnerable to electrophilic attack. The molecular orbital interaction analysis of the initial Ni+–C6H12 complex was obtained by a charge decomposition analysis. The Curtin–Hammett principle accurately demonstrated the product ratio of H2 to be dominant in the two competitive reaction channels. Most importantly, the meaningful molecular structures involved in this subject have been explored in detail. [ABSTRACT FROM AUTHOR]

Published
2022
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22. Proteomic biomarkers for lung cancer progression

Author

Ren, Yanjiao, primary, Zhao, Shishun, additional, Jiang, Dandan, additional, Feng, Xin, additional, Zhang, Yexian, additional, Wei, Zhipeng, additional, Wang, Zhongyu, additional, Zhang, Wenniu, additional, Zhou, Qing F, additional, Li, Yong, additional, Hou, Hanxu, additional, Xu, Ying, additional, and Zhou, Fengfeng, additional

Published
2018
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