作者机构：
[Yang, Ping; Lei, Huijun; Fu, Yue; Tang, Li; Li, Liang; Chen, Cheng] Department of Chinese and Western Integrative Medicine, Hunan Brain Hospital, Clinical Medical School of Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China;[Yang, Ping; Guo, Yan] Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China;[Lei, Huijun; Fu, Yue; Li, Liang; Chen, Guangyu; Xie, Mengzhou; Chen, Cheng; Xia, Shuaishuai] Provincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China;[Lei, Huijun; Fu, Yue; Li, Liang; Chen, Guangyu; Xie, Mengzhou; Chen, Cheng; Xia, Shuaishuai] Key Laboratory of TCM Heart and Lung Syndrome Differentiation & Medicated Diet and Dietotherapy, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China;[Yang, Jingjing] Community Health Service Center of Dongtang Street, Yuhua District, Changsha, Hunan, 410004, China
摘要：
Gastric cancer (GC) is one of the most prominent malignancies that originate in the epithelial cells of the gastric mucosa and is one of the main causes of cancer-related mortality worldwide. New circulating biomarkers of exosomal RNA might have great potential for non-invasive early prognosis of GC. Sijunzi Decoction (SJZD) is a typical representative formula of the method of benefiting Qi and strengthening the spleen in Traditional Chinese Medicine (TCM). However, the effects and mechanism of SJZD in treating GC remain unclear. This study looked for biomarkers of exosomal RNA for early prognosis of GC, and explored the mechanism of SJZD in treating GC. A gastric cancer model with spleen deficiency syndrome was established in nude mice, and the curative effects of SJZD were investigated. Differentially expressed miRNAs in plasma and saliva exosomes were sequenced and analyzed. Potential target genes of these miRNAs were predicted and applied for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment annotation. Overlapping miRNAs in saliva and plasma samples were analyzed, and qRT-PCR was performed for verification. miR-151a-3p was selected, and qRT-PCR further determined that miR-151a-3p was downregulated in saliva and plasma exosomes from the SJZD group. The intersected miR-151a-3p target genes were predicted and enriched in the extrinsic apoptotic signaling pathways. SJZD significantly ameliorates gastric cancer with spleen deficiency syndrome in mouse models, and exosomal miRNAs, particularly miR-151-3p, might be modulated by SJZD in plasma and saliva. The exosomal miR-151-3p in saliva may serve as a non-invasive potential marker for gastric cancer diagnosis and prognosis.
摘要：
Objective Based on metabolomics,it explored the differential metabolites screened by Chinese herbal medicines(compound/single decoction pieces)for the treatment of coronary heart disease with blood stasis syndrome in different species and summarized the biomarkers and related metabolic pathways after the intervention of Chinese herbal medicines.Methods The metabonomics study of traditional Chinese medicine(compound/single decoction pieces)in the treatment of coronary heart dis-ease with blood stasis syndrome was retrieved from CNKI,Wanfang database,VIP database,EMBASE,PubMed,the Cochrane Li-brary and web of science database.The differential metabolites included in the study were summarized.The metabolites were anno-tated by HMDB,PubChem subs and KEGG,and the metabolite path visualization was analyzed by metPA network software.Re-sults A total of eight publications were included in this study,and a total of 89 differential metabolites were counted after counting the recurring metabolites in both species that were mainly involved in 132 metabolic pathways.Through the analysis of pathway to-pology and the statistics of repeated metabolic pathways,16 metabolic pathways with P values less than 0.05 were selected as the metabolic pathways of traditional Chinese medicine(compound/single decoction pieces)in the treatment of coronary heart disease with blood stasis syndrome in different species.For the metabolites enriched in various differential metabolic pathways,the metab-olites repeatedly screened in different studies included phenylalanine,glutamine,glycine,citric acid,choline,creatine,lactic acid,β-glucose,α-glucose and arachidonic acid.Conclusion The herbs(compound/single decoction pieces)used for the treatment of coronary heart disease with blood stasis syndrome in various studies were represented by Xuefu Zhuyu Decoction(血府逐瘀汤),Taohong Siwu Decoction(桃红四物汤),Yangxin Tongmai Formula(养心通脉方)and Suhexiang(Styrax).Bioinformatics analysis based on metabolomics of Chinese herbal medicines(compound/single decoction pieces)for the treatment of coronary heart disease with blood stasis showed that the mechanism of action involves various aspects of glucose metabolism,amino acid metabolism,energy metabolism,choline metabolism and fatty acid metabolism,in which the basic tricarboxylic acid cycle is in-volved.The differential metabolites related to coronary heart disease with blood stasis syndrome,including lactic acid,glucose,cit-ric acid,arachidonic acid,creatine,phenylalanine,choline,glutamine and glycine,were summarized.
摘要：
目的筛选家系早发冠心病血瘀证的特异性蛋白,为今后临床早期诊断和预防疾病提供潜在生物标志物。方法通过同位素相对标记与绝对定量技术(isobaric tags for relative and absolute quanti...展开更多 目的筛选家系早发冠心病血瘀证的特异性蛋白,为今后临床早期诊断和预防疾病提供潜在生物标志物。方法通过同位素相对标记与绝对定量技术(isobaric tags for relative and absolute quantification,i TRAQ)分析家系早发冠心病血瘀证患者、家系早发冠心病非血瘀证患者及健康人的血浆蛋白表达,数据分析后得到各组间的差异蛋白表达情况,再经差异蛋白筛选标准初步得到疾病的预测蛋白,并使用Western blot验证预测蛋白。结果通过i TRAQ技术共得到差异蛋白75个,其中家系早发冠心病血瘀证组与健康对照组之间共得到32个差异蛋白,包括22个上调蛋白与10个下调蛋白,共涉及429个生物学过程,其与角质化、皮肤发展、蛋白质激活级联反应等关系最为密切;在代谢途径金黄色葡萄球菌感染、补体和凝血级联、血小板激活等KEGG通路上富集。与健康对照组相比,家系早发冠心病血瘀证组差异蛋白补体因子H(complement factor H,CFH)表达水平差异有统计学意义(P<0.01)。结论经差异蛋白筛选标准得到的CFH蛋白,可作为家系早发冠心病血瘀证早期诊断的潜在生物标志物。收起
摘要：
目的 直接动脉血压（arterial blood pressure,ABP）连续监测是侵入式的，传统袖带式的间接血压测量法无法实现连续监测。既往利用光学体积描记术（photoplethysmography,PPG）实现了连续无创血压监测，但其为收缩压和舒张压的离散值，而非ABP波的连续值，本研究期望基于卷积神经网络-长短期记忆神经网络（CNN-LSTM）利用PPG信号波重建ABP波信号，实现连续无创血压监测。方法 构建CNN-LSTM混合神经网络模型，利用重症监护医学信息集（medical information mart for intensive care,MIMIC）中的PPG与ABP波同步记录信号数据，将PPG信号波经预处理降噪、归一化、滑窗分割后输入该模型，重建与之同步对应的ABP波信号。结果 使用窗口长度312的CNN-LSTM神经网络时，重建ABP值与实际ABP值间误差最小，平均绝对误差（mean absolute error,MAE）和均方根误差（root mean square error,RMSE）分别为2.79 mmHg和4.24 mmHg，余弦相似度最大，重建ABP值与实际ABP值一致性和相关性情况良好，符合美国医疗器械促进协会（Association for the Advancement of Medical Instrumentation,AAMI）标准。结论 CNN-LSTM混合神经网络可利用PPG信号波重建ABP波信号，实现连续无创血压监测。
