1.Correlation analysis between coronary artery calcifications and cardiovascular disease in patients with breast cancer after radiotherapy
Buzhi SONG ; Ziyi XIAO ; Zekai ZENG ; Yingshan GAO ; Qingyu WU ; Yingying ZHOU ; Hongmei WANG
Chinese Journal of Radiation Oncology 2024;33(1):85-89
Coronary artery calcifications (CAC) is an independent risk factor for cardiovascular disease (CVD). It has been revealed that this condition can be automatically quantified through computerize tomographic (CT) scan contained in radiotherapy plan for patients with breast cancer, with which, physicians can identify the patients with increased risk of CVD after radiotherapy prematurely and take intervention measures in advance. In this article, the current literature and research progress on the correlation between CAC and cardiotoxicity in patients with breast cancer after radiotherapy were reviewed, expecting to provide a strategy to reduce the CVD risk in patients with breast cancer after radiotherapy.
2.Research Progress of Artificial Intelligence and Molecular Simulation in Drug Design
Minquan ZHANG ; Mingcheng GONG ; Zekai CHEN ; Zhenhua CHEN ; Liangliang ZHOU
Herald of Medicine 2024;43(1):78-84
With the deepening of modern drug research,traditional computer simulation can not meet the needs of future drug design experiments.As a classic technology of standard computer simulation,molecular simulation can construct and analyze complex molecular models to study the dynamic processes of molecular motion.However,the simulation results are easy to be affected by human factors.In recent years,the integration of artificial intelligence and molecular simulation has become a new method of drug design research.Artificial intelligence technology uses big data to screen out the corresponding compounds for molecular simulation and feedback on the simulation results to the artificial intelligence system to optimize the artificial neural network.The combination of artificial intelligence and molecular simulation technology improves the efficiency of drug design research,reduces the influence of human factors on simulation results,and increases the credibility of simulation results.In this review,we summarized the progress of artificial intelligence and molecular simulation technology in drug design to provide a reference for the change from computer assisted drug design(CADD)to artificial intelligence-aided drug design(AIDD)in future pharmaceutical development.
3.Sensory attenuation abnormalities and intervention strategies in patients with schizophrenia
Aibao ZHOU ; Zekai LI ; Yalian HUANG ; Tao HU
Sichuan Mental Health 2024;37(6):487-491
Prior research has demonstrated significant deficits in sensory attenuation in patients with schizophrenia, which is a phenomenon that pertains to their inability to adequately modulate the intensity of sensory feedback associated with self-initiated voluntary actions. Sensory attenuation, a fundamental aspect of the sense of agency, is crucial for individuals to accurately perceive their own actions and effectively adapt to the external environment. Investigation on this phenomenon sheds light on the intricate mechanisms underlying sensory information processing deficits in patients with schizophrenia. This paper comprehensively examines the intricate relationship between abnormal sensory attenuation and the early identification of schizophrenia, delves into the underlying mechanisms that give rise to these abnormalities, and explores intervention strategies specifically designed to address them. Ultimately, our aim is to offer novel perspectives and insights that can contribute to the advancement of diagnosis and treatment of schizophrenia. [Funded by Regional Project of National Natural Science Foundation of China (number, 32160202)]
4.Analysis of the differences in the characteristics of mesenchymal stem cells derived from jaw and long bones based on single-cell RNA-sequencing
Hao WANG ; Zekai ZHOU ; Bingdong SUI ; Fang JIN ; Jun ZHOU ; Chenxi ZHENG
Chinese Journal of Stomatology 2024;59(3):247-254
Objective:To study the whole bone marrow cellular composition of jaw and long bones, and further analyze the heterogeneity of mesenchymal stem cells (MSCs) derived from these two tissue, aiming at exploring the differences in functional characteristics of bone MSCs from different lineage sources.Methods:The Seurat package of R language was used to analyze the mandibular and femur whole bone marrow single-cell RNA-sequencing (scRNA-seq) datasets in the literature, and the subpopulations were annotated by reference to the marker genes reported by previous studies. The differentially expressed genes between mandible-derived MSCs (M-MSCs) and femur-derived MSCs (F-MSCs) were calculated, and cell-cell communication analysis between M-MSCs or F-MSCs with other cell populations was performed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on up-regulated and down-regulated differentially expressed genes of M-MSCs, and Gene Set Enrichment Analysis (GSEA) was performed on M-MSCs or F-MSCs.Results:cRNA-seq analysis showed that the mandible and femur had the same bone marrow cell composition, but there were differences in the proportion of specific cell populations. Also, there were significantly differentially expressed genes between M-MSCs and F-MSCs. In addition, cell-cell communication analysis revealed differences in numbers of ligand-receptor pairs between M-MSCs or F-MSCs with other cell populations. Furthermore, GO, KEGG and GSEA analysis showed that M-MSCs had higher extracellular matrix production potential than F-MSCs, but had lower ability to regulate other cells in the bone marrow, especially immune cells.Conclusions:M-MSCs and F-MSCs showed distinct differences in the gene expression pattern and up-regulated signaling pathways, which may be closely related to the developmental sources and functional characteristics of jaw and long bones.