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Natural product chlorogenic acid achieves pharmacological activity and health protection via regulating gut microbiota

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Food Science and Human Wellness 2024年

作者： Ke Fu Shu Dai Yafang Zhang Jia Gong cheng wang Chenhao Yao Shenglin Zhang cheng Peng Yunxia Li State Key Laboratory of Southwestern Chinese Medicine Resources， Key Laboratory of Standardization for Chinese Herbal Medicine， Ministry of Education， School of Pharmacy， chengdu University of Traditional Chinese Medicine College of Enology， Northwest A&F University

Chlorogenic acid (CA) is a natural plant-derived polyphenol compound that is widely present in beverages (coffee and tea)， fruits (blueberry， apple， and mulberry)， and medicinal plants (Lonicera japonica， Eucommia ulmoides， and Cichorium intybus). In recent years， CA has attracted extensive attention due to its various health benefits， such as anti-inflammatory， immunomodulatory， anti-obesity， anti-diabetes mellitus， and neuroprotection activities. Interestingly， the low bioavailability of CA corresponds to high bioactivity， which raises a key scientific question of how low bioavailability CA can achieve high biological activity. In this review， we highlight the gut microbiota as a key target for connecting the two by summarizing a large amount of evidence. Specifically， the composition and abundance of gut microbiota， its metabolites， intestinal immunity， barrier function and so on were all changed under different pathological conditions such as inflammatory bowel disease， liver disease， kidney disease， cardiovascular disease， diabetes mellitus， obesity， etc. Conversely， these changes could be reversed by CA. In a word， CA could achieve pharmacological activity as well as health-protective effects by modulating intestinal immune and barrier function， gut microbiota composition， gut microbiota metabolites， and signaling pathways. This review provides new targets for the prevention and treatment of diseases by CA. Meanwhile， regulating the composition of the gut microbiota through natural products may be a potential strategy to achieve health protection.

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Degradation of warm permafrost and talik formation on the Qinghai-Tibet Plateau in 2006-2021

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Advances in Climate Change Research 2024年第2期15卷 275-284页

作者： Qi-Hang MEI Ji CHEN You-Qian LIU Shou-Hong ZHANG Jing-Yi ZHAO Tian-Chun DONG Jun-cheng wang Yao-Jun ZHAO Beiluhe Observation and Research Station of Frozen Soil Engineering and Environment Key Laboratory of Cryospheric Science and Frozen Soil EngineeringNorthwest Institute of Eco-Environmental and ResourcesChinese Academy of SciencesLanzhou 730000China China Railway Qinghai-Tibet Group Co.Ltd Xining 810007China University of Chinese Academy of Sciences Beijing 100049China

Permafrost is degrading globally,particularly those with low thermal stability on the Qinghai-Tibet Plateau,owing to climate ***,the inadequacy of direct research on permafrost degradation based on in-situ monitoring limits the prediction of permafrost degradation and engineering *** study explored the processes and modes of permafrost degradation into talik by analyzing ground temperature data from five points in the hinterland of the Qinghai-Tibet Plateau from 2006 to *** results showed that the degradation of the warm permafrost layer with a geothermal gradient of zero occurred simultaneously in the top and bottom *** rate of permafrost degradation from the top down and bottom up increase during the degradation process,but the increase of the former is more drastic after the formation of thawed ***,the construction of the Qinghai-Tibet Railway changed the degradation modes of the permafrost in adjacent natural sites through horizontal heat transfer,particularly after through talik formation under the *** findings suggest that taking countermeasures before or immediately after forming thawed interlayer is more *** evaluating the thermal impact of projects in warm permafrost regions,special attention should be given to the horizontal heat transfer process that may result from the formation of a through talik.

关键词： Warm permafrost Degradation Talik Qinghai-Tibet Plateau Climate change

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复杂无向图的同构判定方法

自动化学报 2024年第6期50卷 1143-1150页

作者：王卓王成红北京航空航天大学仪器科学与光电工程学院北京100191 中国自动化学会理事会北京100190

针对一般复杂无向图的同构判定问题,给出了基于邻接矩阵之和的特征多项式判定条件;针对复杂无向连通图的同构判定问题,给出了基于距离矩阵特征多项式和邻接矩阵特征多项式的同构判定条件,将该条件用于复杂无向不连通图的各个连通子图,... 详细信息

针对一般复杂无向图的同构判定问题,给出了基于邻接矩阵之和的特征多项式判定条件;针对复杂无向连通图的同构判定问题,给出了基于距离矩阵特征多项式和邻接矩阵特征多项式的同构判定条件,将该条件用于复杂无向不连通图的各个连通子图,就可解决复杂无向不连通图的同构判定问题.上述两个判定条件均是充要条件且当复杂无向图退化为简单无向图时仍然适用.

关键词：复杂无向图邻接矩阵距离矩阵特征多项式同构判定条件

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Discrimination of polysorbate 20 by high-performance liquid chromatography-charged aerosol detection and characterization for components by expanding compound database and library

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Journal of Pharmaceutical Analysis 2024年第5期14卷 722-732页

作者： Shi-Qi wang Xun Zhao Li-Jun Zhang Yue-Mei Zhao Lei Chen Jin-Lin Zhang Bao-cheng wang Sheng Tang Tom Yuan Yaozuo Yuan Mei Zhang Hian Kee Lee Hai-Wei Shi Jiangsu Institute for Food and Drug Control Nanjing210019China School of Pharmacy China Pharmaceutical UniversityNanjing211112China School of Pharmacy Nanjing University of Chinese MedicineNanjing210046China Chinese Pharmacopoeia Commission Beijing100061China Nanjing Well Pharmaceutical Group Co. Ltd.Nanjing210018China School of Environmental and Chemical Engineering Jiangsu University of Science and TechnologyZhenjiangJiangsu212003China University of Massachusetts Amherst Amherst01003USA Department of Chemistry National University of SingaporeSingapore117543Singapore

Analyzing polysorbate 20(PS20)composition and the impact of each component on stability and safety is crucial due to formulation variations and individual *** similar structures and polarities of PS20 components make accurate separation,identification,and quantification *** this work,a high-resolution quantitative method was developed using single-dimensional high-performance liquid chromatography(HPLC)with charged aerosol detection(CAD)to separate 18 key components with multiple *** separated components were characterized by ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UHPLC-Q-TOF-MS)with an identical gradient as the HPLC-CAD *** polysorbate compound database and library were expanded over 7-time compared to the commercial *** method investigated differences in PS20 samples from various origins and grades for different dosage forms to evaluate the composition-process ***-Q-TOF-MS identified 1329 to 1511 compounds in 4 batches of PS20 from different *** method observed the impact of 4 degradation conditions on peak components,identifying stable components and their tendencies to ***-CAD and UHPLC-Q-TOF-MS results provided insights into fingerprint differences,distinguishing quasi products.

关键词： Polysorbate 20 Component Database Discrimination Degradation

Targeting colorectal cancer with Herba Patriniae and Coix seed:Network pharmacology,molecular docking,and in vitro validation

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World Journal of Gastrointestinal Oncology 2024年第8期16卷 3539-3558页

作者： cheng-Lei wang Bing-Wei Yang Xin-Yan wang Xue Chen Wei-Dong Li Hao-Yu Zhai Ying Wu Mu-YaoCui Jia-He Wu Qing-Hui Meng Nan Zhang Department of Oncology Guang’anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China The First Clinical Medical College Shaanxi University of Chinese MedicineXianyang 712046Shaanxi ProvinceChina Department of Scientific Research Management Guang’anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China School of Clinical Medicine Qinghai University Xining 810000Qinghai ProvinceChina School of Chinese Materia Medica Beijing University of Chinese MedicineBeijing 100029China

BACKGROUND Herba Patriniae and Coix seed(HC)constitute a widely utilized drug combination in the clinical management of colorectal cancer(CRC)that is known for its diuretic,anti-inflammatory,and swelling-reducing *** its efficacy has been demonstrated in a clinical setting,the active compounds and their mechanisms of action in CRC treatment remain to be fully *** To identify the active,CRC-targeting components of HC and to elucidate the mechanisms of action *** Active HC components were identified and screened using *** for each component were ***-related targets were obtained from human gene *** targets between HC and CRC were identified.A“drug-ingredient-target”network was created to identify the core components and targets *** Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)analyses were conducted to elucidate the key pathways *** docking between core targets and key components was *** vitro experiments validated core *** Nineteen active components of HC were identified,with acacetin as the primary active *** predictive analysis identified 454 targets of the active compounds in *** mapping with 2685 CRC-related targets yielded 171 intervention targets,including 30 core *** and KEGG analyses indicated that HC may influence the phosphoinositide 3-kinase(PI3K)/Akt signaling *** docking showed that acacetin exhibited an optimal interaction with AKT1,identifying PI3K,AKT,and P53 as key genes likely targeted by HC during CRC *** inhibited HT-29 cell proliferation and migration,as well as promoted apoptosis,in *** blotting analysis revealed increased p53 and cleaved caspase-3 expression and decreased levels of p-PI3K,p-Akt,and survivin,which likely contributed to CRC *** Acacetin,the principal active compound in the HC pair,inhibited the proliferati

关键词： Colorectal cancer Baijiangcao(Herba Patriniae) Yiyiren(Coix seed) Acacetin Proliferation Migration Apoptosis Network pharmacology

Data-driven mapping-relationship mining between hardness and mechanical properties of dual-phase titanium alloys via random forest and statistical analysis

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Rare Metals 2024年第2期43卷 829-841页

作者： Hai-Chao Gong Qun-Bo Fan Hong-Mei Zhang Xing-wang cheng Wen-Qiang Xie Kai Chen Lin Yang Jun-Jie Zhang Bing-Qiang Wei Shun Xu School of Materials Science and Engineering Beijing Institute of TechnologyBeijing100081China National Key Laboratory of Science and Technology on Materials Under Shock and Impact Beijing100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing401135China Department of Mechanical and Materials Engineering University of Nebraska-LincolnLincolnNE68588USA

In order to accelerate the research on the property optimization of titanium alloy based on high-throughput methods,it is necessary to reveal the relationship between hardness and other mechanical properties which is still *** this work,taking Ti20C alloy as research object,almost all the microstructure of dual-phase titanium alloys were covered by traversing over 100 heat treatment ***,massive experiments including microstructure characterization and performance test were conducted,obtaining 51,590 pieces of microstructure data and 3591 pieces of mechanical property ***,based on large-scale data-driven technology,the quantitative mapping relationship between hardness and other mechanical properties was deeply *** results of random forest models showed that the correlation between hardness(H)and Charpy impact energy(A_(k))(or elongation,A)was hardly dependent on the microstructure types,while the relationship between H and tensile strength(R_(m))(or yield strength,R_(p0.2))was highly dependent on microstructure ***,combined with statistical analysis,it was found that the relationship between H and Ak(or A)were negatively ***,the relationship between H and strength was positively linear for equiaxed microstructure,and strength was linked to d^(−1/2)(d,equivalent circle diameter)ofα-grains in the form of classical Hall–Petch formula;but for other microstructures,the relationships were ***,the above rules were nearly the same in the rolling direction and transverse ***,a"four-quadrant partition map"between H and R_(p0.2)/R_(m) was established as a versatile material-screening tool,which can provide guidance for on-demand selection of titanium alloys.

关键词： Dual-phase titanium alloy Data-driven Hardness Mapping relationship

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Advancing the understanding and management of blastic plasmacytoid dendritic cell neoplasm:Insights from recent case studies

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World Journal of Clinical Cases 2024年第31期12卷 6441-6446页

作者： Yan Luo Li-Juan wang cheng-Long wang Department of Stomatology The People's Hospital of Dadukou DistrictChongqing 400084China Department of Pathology The Chongqing Hospital of Traditional Chinese MedicineChongqing 400021China

We specifically discuss the mechanisms of the pathogenesis,diagnosis,and management of blastic plasmacytoid dendritic cell neoplasm(BPDCN),a rare but aggressive haematologic malignancy characterized by frequent skin manifestations and systemic *** article enriches our understanding of BPDCN through detailed case reports showing the clinical,immunophenotypic,and histopathological features that are critical for diagnosing this *** cases highlight the essential role of pathologists in employing advanced immunophenotyping techniques to accurately identify the disease early in its course and guide treatment ***,we explore the implications of these findings for management strategies,emphasizing the use of targeted therapies such as tagraxofusp and the potential of allogeneic haematopoietic stem cell transplantation in achieving *** editorial underscores the importance of interdisciplinary approaches in managing BPDCN,pointing towards a future where precision medicine could significantly improve patient outcomes.

关键词： Blastic plasmacytoid dendritic cell neoplasm Immunophenotyping Targeted therapies Haematologic malignancy Pathogenesis

Intensiveness of Mothering in China and Its Relationship with Preschoolers’Emotional and Behavioral Competence:The Suppression Effect of Maternal Psychological Well-Being

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Frontiers of Education in China 2024年第1期19卷 37-60页

作者： LI Yeqing wang cheng REN Lixin School of Human Ecology University of Wisconsin-MadisonMadison 53706USA Center of Teacher Development Minhang Institute of EducationShanghai 200241China Academy of Future Education Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China

Intensive parenting is becoming a prevalent parenting style in *** invest tremendous time,energy,and money in childrearing,whereas the effectiveness of intensive parenting in helping children obtain developmental advantages remains *** the questionnaire survey,the present study investigates 388 mothers of preschoolers in Shanghai and Jinan,Shandong province,to explore the associations between the intensiveness of mothering,maternal psychological well-being,and preschoolers’emotional and behavioral *** distinct patterns of the intensiveness of mothering are identified using latent profile analysis:high-endorsement&high-practice,medium-endorsement&medium-practice,low-endorsement&lowpractice,and *** psychological well-being suppresses the relationship between the intensiveness of mothering and preschoolers’emotional and behavioral *** intensiveness of mothering is positively related to preschoolers’emotional and behavioral competence after excluding the indirect effect of maternal psychological *** addition,mothers from profiles showing higher levels of the intensiveness of mothering have worse psychological wellbeing,and their preschoolers have lower levels of social-emotional *** two pathways counteract each other,resulting in a non-significant overall relationship between the intensiveness of mothering and preschoolers’emotional and behavioral *** present study suggests that mothers may adjust their attitudes and practices toward intensive parenting,actively mediate their psychological well-being,and create a supportive environment for children’s social-emotional ***,preschools,and society as a whole are recommended to establish collaborative mechanisms to support mothers’childrearing and reduce their parenting stress.

关键词： intensive parenting maternal psychological well-being social-emotional development family education

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基于深度特征融合的协同推荐算法

南京理工大学学报 2024年第4期48卷 460-468页

作者：王成南京理工大学计算机科学与工程学院江苏南京210094

深度神经网络存在数据稀疏性难题和推荐精度不高的问题,为此提出一种基于深度特征融合的协同推荐算法,通过将深度神经网络与协同过滤算法相融合来改善问题。首先利用二次多项式回归模型对用户-项目评分矩阵进行特征提取;其次利用深度神... 详细信息

深度神经网络存在数据稀疏性难题和推荐精度不高的问题,为此提出一种基于深度特征融合的协同推荐算法,通过将深度神经网络与协同过滤算法相融合来改善问题。首先利用二次多项式回归模型对用户-项目评分矩阵进行特征提取;其次利用深度神经网络对所输入的潜在特征进行训练,生成用户-项目评分;最后利用词频-逆向文件频率算法所生成的推荐候选集,融合用户-项目评分并最终输出推荐结果。利用MovieLens评分数据进行实验,该文混合推荐算法的平均绝对差(MAE)和均方根误差(RMSE)分别为0.7459、0.8886,比传统深度神经网络分别提高14.143%与24.341%,也优于对照组的混合推荐模型。

关键词：深度神经网络二次多项式词频-逆向文件频率特征融合相似度

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