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国家自然科学基金(81225025)

作品数:8 被引量:534H指数:7
相关作者:李梢周婉珊褚夫江马鸿雁王东更多>>
相关机构:清华大学中国中医科学院广东药学院更多>>
发文基金:国家自然科学基金北京市科技新星计划更多>>
相关领域:医药卫生生物学理学更多>>

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Exploring Traditional Chinese Medicine by A Novel Therapeutic Concept of Network Target被引量:40
2016年
Traditional Chinese medicine(TCM) holds a holistic theory, and specializes in balancing disordered human body using numerous natural products, particularly Chinese herbal formulae. TCM has certain treatment advantages for patients suffering from various complex diseases. However, due to the complex nature of TCM, it remains difficult to unveil such holistic medicine by the current reductionism research strategies, which treat both herbal ingredients and targets in isolation. Recently, an emerging network pharmacology approach has been introduced to tackle this bottleneck problem. A TCM-derived novel therapeutic concept, "network target", which is different from the Western medicine's "onetarget" concept, has been proposed from China. The network target strategy is able to illustrate the complex interactions among the biological systems, drugs, and complex diseases from a network perspective, and thus provides an innovative approach to access ancient remedies in a precision manner and at a systematic level, which also highlights TCM's potential in current medical systems.
李梢
关键词:复杂疾病
人工智能与多组学时代基于生物网络的肿瘤精准防治
2023年
Cancer is recognized as a leading cause of deaths nowadays,accounting for 10 million annual deaths worldwide and resulting in heavy health and economic burdens[1].Reducing cancer incidence through precision prevention is thus of great scientific and clinical value.Gastric cancer(GC)is one of the most common cancers in China.Pathologically,the onset of GC,especially the intestinal-type ones,would usually suffer a series of premalignant lesions,including atrophic gastritis,intestinal metaplasia,and low-grade dysplasia(LGD),which is known as the process of gastritis-induced tumorigenesis(GIGT)[2].Epidemiological studies have shown that GIGT has exhibited the characteristics of longterm and low-probability,that is,only a small number of gastritis patients would develop into GC after a long period.Therefore,it has become the key challenge for GC precision prevention that how to uncover the biological mechanism underlying GIGT,followed by accurately identifying the critical time point at which effective diagnosis and treatment strategies could be developed to prevent GC.Of note,this is also a common challenge for the precision prevention of other cancer types,such as liver and colon cancers.
张鹏汪博洋李梢
关键词:PREVENTIONGASTRITISDIAGNOSIS
苦参中黄酮类成分的高效液相指纹图谱及5种成分的含量测定被引量:34
2013年
采用高效液相色谱法建立苦参中黄酮类成分的指纹图谱,并同时测定3种异戊烯基黄酮(苦参醇I、苦参酮、槐属二氢黄酮G)和2种紫檀素(三叶豆紫檀苷和高丽槐素)的含量。色谱条件采用ULTIMATE XB-C18色谱柱(4.6 mm×250mm,5μm),乙腈-水溶液为流动相进行梯度洗脱,以295 nm为检测波长。共收集了12批苦参和4批同属近缘种山豆根进行测定,运用中国药典委员会"中药色谱指纹图谱相似度评价软件2004AB"进行评价,对黄酮类成分进行主成分分析,并对主要5种成分进行含量测定。建立了苦参黄酮类成分HPLC指纹图谱,标定了13个共有色谱峰,并采用对照品指认了5个主要色谱峰,4批同属近缘种山豆根与苦参黄酮对照图谱明显不同。主成分分析的结果表明,苦参酮、槐属二氢黄酮G等对其质量影响显著。含量测定条件通过方法学验证,平均加样回收率在96.3%~102.3%。该法所建立的苦参黄酮类成分指纹图谱特征性强、方法简便,结合主要成分含量测定可更好地控制其质量,对苦参的鉴定及质量控制具有指导意义和参考价值。
马鸿雁周婉珊褚夫江王东梁生旺李梢
关键词:苦参黄酮指纹图谱
网络药理学与中医药现代研究的若干进展被引量:300
2015年
中医药具有以整体观和辨证论治为特色的理论体系和几千年的临床实践经验,中医药现代化亟需建立符合其整体特点的科学研究方法。随着医学与生命科学研究步入大数据时代,系统生物学、多向药理学、生物信息学等多学科快速发展,网络药理学作为药物研究的新模式应运而生,其整体性、系统性的特点与中医药整体观、辨证论治、组方配伍的原则不谋而合。网络药理学从整体的角度探索药物与疾病间的关联性,强调从"单靶标"向"网络靶标"研究模式的转变,因此,它与中医药的有机结合是一个富有原创性的研究方向。本文简要分析和论述了网络药理学在中医"理法方药"诊疗过程中的有关研究进展,以及中药网络药理学面对的挑战,并对进一步研究提出了一些建议。
张彦琼李梢
关键词:网络药理学中草药证候方剂
TCM network pharmacology:A new trend towards combining computational,experimental and clinical approaches被引量:57
2021年
Traditional Chinese medicine(TCM)is a precious treasure of the Chinese nation and has unique advantages in the prevention and treatment of diseases.The holistic view of TCM coincides with the new generation of medical research paradigm characterized by network and system.TCM gave birth to a new method featuring holistic and systematic"network target",a core theory and method of network pharmacology.TCM is also an important research object of network pharmacology.TCM network pharmacology,which aims to understand the network-based biological basis of complex diseases,TCM syndromes and herb treatments,plays a critical role in the origin and development process of network pharmacology.This review introduces new progresses of TCM network pharmacology in recent years,including predicting herb targets,understanding biological foundation of diseases and syndromes,network regulation mechanisms of herbal formulae,and identifying disease and syndrome biomarkers based on biological network.These studies show a trend of combining computational,experimental and clinical approaches,which is a promising direction of TCM network pharmacology research in the future.Considering that TCM network pharmacology is still a young research field,it is necessary to further standardize the research process and evaluation indicators to promote its healthy development.
WANG XinWANG Zi-YiZHENG Jia-HuiLI Shao
关键词:COMPUTATION
Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade被引量:22
2019年
The development of gastritis is associated with an increased risk of gastric cancer. Current invasive gastritis diagnostic methods are not suitable for monitoring progressIn this work based on 78 gastritis patients and 50 healthy individuals, we observed that the variation of tongue-coating microbiota was associated with the occurrenee and development of gastritis. Twenty-one microbial species were identified for differentiating tongue-coating microbiomes of gastritis and healthy individuals. Pathways such as microbial metabolism in diverse environments, biosynthesis of antibiotics and bacterial chemotaxis were up-regulated in gastritis patients. The abundance of Campylobacter concisus was found associated with the gastric precancerous cascade. Furthermore, Campylobacter concisus could be detected in tongue coating and gastric fluid in a validation cohort containing 38 gastritis patients. These observations provided biological evidence of tongue diagnosis in traditional Chinese medicine, and indicated that tongue-coating microbiome could be a potential non-invasive biomarker, which might be suitable for long-term monitoring of gastritis.
Jiaxing CuiHongfei CuiMingran YangShiyu DuJunfeng LiYingxue LiLiyang LiuXuegong ZhangShao Li
关键词:GASTRITISMETAGENOMICSCAMPYLOBACTERBIOMARKER
基于生物网络的关系推断原理、方法与应用被引量:7
2022年
在生物医学大数据时代,如何全面有效地发现致病基因、药物靶标等关键要素,从整体上理解宏观表型的微观本质,是目前信息科学与中西医学交叉研究面临的重大共性挑战之一.生物系统是典型的复杂系统,克服上述挑战的关键是:如何通过深入理解复杂生物系统的“关系”本质,解决复杂系统多层次信息融合难题以及生物医学大数据中广泛存在的维度高、噪声大、样本少等难点.“生物网络”是构成复杂生物系统的基础,反映人体内部基因和基因产物等各种生物分子的相互关系、生物分子与疾病和药物等不同层次的关系,生物网络已被广泛用于生物医学大数据的分析.李梢课题组从20余年前开始中西医药与生物网络的关联研究,率先提出“网络靶标”假说,并进行方法构建与应用.本文对基于生物网络的关系推断理论与方法进行总结与思考.首先,从原理上,发现疾病宏观表型与微观分子在复杂生物网络中存在“层次模块化关系”,即宏观层次的涌现在微观上具有局域模块性,宏观表型越相似,微观致病基因或药物靶标在网络上的模块性关联越强.其次,从方法上,给出基于生物网络从生物医学大数据、少量目标样本中推断关键生物要素的“关系推断”一般性方法框架:以层次模块化关系为基础,从全局角度进行关系网络构建、关系表示与建模、未知关系推断,实现关系的实体化、数学化、整体化.进而,从应用上,基于生物网络的关系推断方法在致病基因与药物靶标预测、疾病标志物识别、中医药机制解析等方面表现出很好的性能.综上,关系推断方法能够为从系统角度和分子水平揭示中西医药科学原理提供系统解决方案,也为网络药理学等新兴学科提供重要的原理和方法学支撑.
李梢张鹏古槿江瑞李衍达
关键词:模块化网络药理学
Network Pharmacology-based Approaches Capture Essence of Chinese Herbal Medicines被引量:87
2016年
Traditional Chinese Medicine(TCM), a crucial component of the current medical system, has been extensively used in clinical practice due to its valuable therapeutic efficacy, and its potentials as an important source of new pharmacophores. TCM is characterized by holistic theory, which emphasizes maintaining the balance of the patient's whole body using herbal formulae(fangji in Chinese) composed of mixtures of herbs with multiple bioactive ingredients. Because of the complex nature of these formulae, it is necessary to develop systematic methods to identify their bioactive ingredients and to clarify their mechanisms of action. With the rapid progress in bioinformatics, systems biology, and polypharmacology, "network pharmacology", which shifts the "one target, one drug" paradigm to the "network target, multi-component" strategy, has attracted the attention because it can not only reveal the underlying complex interactions between a herbal formula and cellular proteins but detect the influence of their interactions on the function and behavior of the system. Growing evidence shows that the network pharmacology strategy can be a powerful approach to modern research on TCM. The present paper focuses on the basis of network pharmacology and the recent progress in its methodology, illustrates its utility in screening bioactive ingredients and elucidating the mechanisms of action of TCM herbal formulae, analyzes its limitations and problems, and discusses its development direction and application prospects.
Yan-qiong ZhangXia MaoQiu-yan GuoNa LinShao Li
关键词:中药方剂生物活性成分中草药配方
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