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Underlying anti-hypertensive mechanism of the Mizuhopecten yessoensis derived peptide NCW in spontaneously hypertensive rats via widely targeted kidney metabolomics
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作者 wenjun xue Wenzhu Zhao +1 位作者 Sijia Wu Zhipeng Yu 《Food Science and Human Wellness》 SCIE CSCD 2024年第1期472-481,共10页
The angiotensin-converting enzyme(ACE)inhibitory peptide NCW derived from Mizuhopecten yessoensis has been demonstrated to have significant in vivo anti-hypertensive effects,however,its anti-hypertensive mechanism is ... The angiotensin-converting enzyme(ACE)inhibitory peptide NCW derived from Mizuhopecten yessoensis has been demonstrated to have significant in vivo anti-hypertensive effects,however,its anti-hypertensive mechanism is still not fully clarified.This study established a UPLC-Q-TRAP-MS/MS-based widely targeted kidney metabolomics approach to explore the changes of kidney metabolic profiles and to clarify the antihypertensive mechanism of peptide NCW in spontaneously hypertensive rats(SHRs).Multivariate statistical analysis indicated that the kidney metabolic profiles were clearly separated between the SHR-NCW and SHRUntreated groups.A total of 85 metabolites were differentially regulated,and 16 metabolites were identified as potential kidney biomarkers,e.g.,3-hydroxybutyrate,malonic acid,deoxycytidine,and L-aspartic acid.The peptide NCW might regulate kidney metabolic disorder of SHRs to alleviate hypertension by suppressing inflammation and improving nitric oxide production under the regulation of linoleic acid metabolism,folate related pathways,synthesis and degradation of ketone bodies,pyrimidine metabolism,β-alanine metabolism,and retinal metabolism. 展开更多
关键词 ACE inhibitory peptide KIDNEY MECHANISM Metabolomics Spontaneously hypertensive rats
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The Treatment of Acne with the Addition and Subtraction of Loquat Qingfei Yin:A Meta-Analysis
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作者 wenjun xue Pengguang Xu 《Journal of Clinical and Nursing Research》 2021年第4期167-176,共10页
Objective:To systematically evaluate the efficacy and safety of Loquat Qingfei Yin(LQFY)in the treatment of acne.Methods:Using computer retrieval,comprehensive collection of the full text database of Chinese journals ... Objective:To systematically evaluate the efficacy and safety of Loquat Qingfei Yin(LQFY)in the treatment of acne.Methods:Using computer retrieval,comprehensive collection of the full text database of Chinese journals till December 2020(CNKI),Wanfang Data Knowledge Service Platform(Wanfang),Viper Database(VIP),PubMed,Cochrane Library,Medline were included in the LQFY addition or subtraction treatment of acne randomized controlled trial(RCT).Screening of the literatures included in the Note Express 3.2.0.Assessment of the risk of bias in trials using Cochrane collaboration tools,and used Rev Man 5.3 to evaluate the curative effect.Results:25 RCT,all in Chinese,there were 2257 cases.Of the 1216 cases who were treated,control group was 1041 cases.A random effect model was used for Meta analysis.The results showed that the effective rate of the treatment group was significantly higher than that of the control group,Differences were statistically significant(P=0.94,I2==0%),RR=2.87,CI[2.25,95 per cent 3.67],P<0.00001.Conclusion:There are limited evidence that LQFY is safe and effective in treating acne.However,this conclusion needs to be confirmed by a more large-scale,multi-center,high-quality RCTs. 展开更多
关键词 LQFY addition or subtraction ACNE Randomized controlled trial(RCT) Meta analysis
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Whole genome sequencing of 10K patients with acute ischaemic stroke or transient ischaemic attack: design, methods and baseline patient characteristics 被引量:10
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作者 Si Cheng Zhe Xu +22 位作者 Yang Liu Jinxi Lin Yong Jiang Yilong Wang Xia Meng Anxin Wang Xinying Huang Zhimin Wang Guohua Chen Songdi Wu Zhengchang Jia Yongming Chen xuerong Qiu Jun Wu Binbin Song Weizhong Ji Zhongping An wenjun xue Lili Zhao Yu Geng Hongyan Li Hao Li Yongjun Wang 《Stroke & Vascular Neurology》 SCIE CSCD 2021年第2期291-297,共7页
Background and purpose Stroke is the second leading cause of death worldwide and the leading cause of mortality and long-term disability in China,but its underlying risk genes and pathways are far from being comprehen... Background and purpose Stroke is the second leading cause of death worldwide and the leading cause of mortality and long-term disability in China,but its underlying risk genes and pathways are far from being comprehensively understood.We here describe the design and methods of whole genome sequencing(WGS)for 10914 patients with acute ischaemic stroke or transient ischaemic attack from the Third China National Stroke Registry(CNSR-III).Methods Baseline clinical characteristics of the included patients in this study were reported.DNA was extracted from white blood cells of participants.Libraries are constructed using qualified DNA,and WGS is conducted on BGISEQ-500 platform.The average depth is intended to be greater than 30×for each subject.Afterwards,Sentieon software is applied to process the sequencing data under the Genome Analysis Toolkit best practice guidance to call genotypes of single nucleotide variants(SNVs)and insertion-deletions.For each included subject,21 fingerprint SNVs are genotyped by MassARRAY assays to verify that DNA sample and sequencing data originate from the same individual.The copy number variations and structural variations are also called for each patient.All of the genetic variants are annotated and predicted by bioinformatics software or by reviewing public databases.Results The average age of the included 10914 patients was 62.2±11.3 years,and 31.4%patients were women.Most of the baseline clinical characteristics of the 10914 and the excluded patients were balanced.Conclusions The WGS data together with abundant clinical and imaging data of CNSR-III could provide opportunity to elucidate the molecular mechanisms and discover novel therapeutic targets for stroke. 展开更多
关键词 PATIENTS TRANSIENT CHARACTERISTICS
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复合分位数下门限自回归模型的变点估计 被引量:1
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作者 张立文 程东坡 +1 位作者 薛文骏 杨廷干 《中国科学:数学》 CSCD 北大核心 2022年第1期63-84,共22页
金融领域中的突发事件是变点问题的一种体现,往往由于其随机性和发生前信息量不足等因素造成突发事件难以识别和预测.金融市场常常表现出非线性和异质性等特征,门限分位数自回归模型作为金融领域变点问题研究的重要模型,逐渐在经济和统... 金融领域中的突发事件是变点问题的一种体现,往往由于其随机性和发生前信息量不足等因素造成突发事件难以识别和预测.金融市场常常表现出非线性和异质性等特征,门限分位数自回归模型作为金融领域变点问题研究的重要模型,逐渐在经济和统计学界获得更多的关注.本文结合不同的分位数对门限分位数自回归模型中的变点估计问题提出两种新的估计方法:门限自回归分位数复合估计和分位数平均估计.在一些实际数据分析中,研究发现在不同分位数水平下门限分位数自回归模型中的变点非常接近.基于变点的这种共同性,首先通过最小化不同分位数下的联合损失函数得到更有效的复合变点估计,并进一步推导复合变点估计量的渐近性质,以及基于似然比和自助法构建所提出估计量的置信区间.其次,通过对不同分位数下的变点估计量求平均提出另一种复合分位数估计方法,即门限分位数平均估计,并给出相应的大样本性质.数值模拟研究发现,相比传统的门限最小二乘估计和分位数估计,所提出的两种方法在有限样本条件下更加有效.最后,分析2005–2014年上证A股指数展示所提出方法的实际应用表现. 展开更多
关键词 有效 变点 门限分位数自回归 复合分位数 分位数平均估计
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