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| 1 | A survey on chemical and microbiological composition of kurut, naturally fermented yak milk from Qinghai in China显示文摘 | Heping Zhang Jie Xu Junguo Wang Menghebilige Tiansong Sun Haiping Li Mingruo Guo | 2007 | Food Control2007，，6： | 3 |
| 2 | Isolation and identification of lactic acid bacteria from Tarag in Eastern Inner Mongolia of China by 16S rRNA sequences and DGGE analysis显示文摘 | Wenjun Liu Qiuhua Bao Jirimutu Manjun Qing Siriguleng Xia Chen Ting Sun Meihua Li Jiachao Zhang Jie Yu Menghe Bilige Tiansong Sun Heping Zhang | 2011 | Microbiological Research2011，，2： | 2 |
| 3 | Fermentation characteristics of six probiotic strains in soymilk显示文摘 | Haiping Li Liya Yan Jicheng Wang Qing Zhang Qi Zhou Tiansong Sun Wei Chen Heping Zhang | 2012 | Annals of Microbiology2012，，4： | 1 |
| 4 | In vitro screen of Lactobacillus plantarum as probiotic bacteria and their fermented characteristics in soymilk显示文摘 | Yan Bao Yong Zhang Haiping Li Yong Liu Shuiquan Wang Ximei Dong Fang Su Guoqiang Yao Tiansong Sun Heping Zhang | 2012 | Annals of Microbiology2012，，3： | 1 |
| 5 | A survey on chemical and microbiological composition of kurut, naturally fermented yak milk from Qinghai in China显示文摘 | Heping Zhang Jie Xu Junguo Wang Menghebilige Tiansong Sun Haiping Li Mingruo Guo | 2007 | Food Control2007，，6： | 1 |
| 6 | In vitro screen of Lactobacillus plantarum as probiotic bacteria and their fermented characteristics in soymilk显示文摘 | Yan Bao Yong Zhang Haiping Li Yong Liu Shuiquan Wang Ximei Dong Fang Su Guoqiang Yao Tiansong Sun Heping Zhang | 2012 | Annals of Microbiology2012，，3： | 1 |
| 7 | Genetic character- ization of an isolate of canine distemper virus from a Tibetan Mastiff in China显示文摘 | Li Weike Li Tiansong Liu Yuxiu | 2014 | Virus Genes2014，49，： | 1 |
| 8 | View Synthesis from multi-view RGB data using multi layered representation and volumetric estimation显示文摘Background Aiming at free-view exploration of complicated scenes,this paper presents a method for interpolating views among multi RGB cameras.Methods In this study,we combine the idea of cost volume,which represent 3 D information,and 2 D semantic segmentation of the scene,to accomplish view synthesis of complicated scenes.We use the idea of cost volume to estimate the depth and confidence map of the scene,and use a multi-layer representation and resolution of the data to optimize the view synthesis of the main object.Results/Conclusions By applying different treatment methods on different layers of the volume,we can handle complicated scenes containing multiple persons and plentiful occlusions.We also propose the view-interpolation→multi-view reconstruction→view interpolation pipeline to iteratively optimize the result.We test our method on varying data of multi-view scenes and generate decent results. | Zhaoqi SU Tiansong ZHOU Kun LI David BRADY Yebin LIU | 2020 | Virtual Reality & Intelligent Hardware2020，2，1： | 0 |
| 9 | Integrated'omics analysis for the gut microbiota response to moxibustion in a rat model of chronic fatigue syndrome显示文摘OBJECTIVE:To observe the efficacy of moxibustion in the treatment of chronic fatigue syndrome(CFS)and explore the effects on gut microbiota and metabolic profiles.METHODS:Forty-eight male Sprague-Dawley rats were randomly assigned to control group(Con),CFS model group(Mod,established by multiple chronic stress for 35 d),MoxA group(CFS model with moxibustion Shenque(CV8)and Guanyuan(CV4),10 min/d,28 d)and MoxB group(CFS model with moxibustion Zusanli(ST36),10 min/d,28 d).Open-field test(OFT)and Morris-water-maze test(MWMT)were determined for assessment the CFS model and the therapeutic effects of moxibustion.16S rRNA gene sequencing analysis based gut microbiota integrated untargeted liquid chromatograph-mass spectrometer(LC-MS)based fecal metabolomics were executed,as well as Spearman correlation analysis,was utilized to uncover the functional relevance between the potential metabolites and gut microbiota.RESULTS:The results of our behavioral tests showed that moxibustion improved the performance of CFS rats in the OFT and the MWMT.Microbiome profiling analysis revealed that the gut microbiomes of CFS rats were less diverse with altered composition,including increases in pro-inflammatory species(such as Proteobacteria)and decreases in anti-inflammatory species(such as Bacteroides,Lactobacillus,Ruminococcus,and Prevotella).Moxibustion partially normalized these changes in the gut microbiota.Furthermore,CFS was associated with metabolic disorders,which were effectively ameliorated by moxibustion.This was demonstrated by the normalization of 33 microbiota-related metabolites,including mannose(P=0.001),aspartic acid(P=0.009),alanine(P=0.007),serine(P=0.000),threonine(P=0.027),methionine(P=0.023),5-hydroxytryptamine(P=0.008),alpha-linolenic acid(P=0.003),eicosapentaenoic acid(P=0.006),hypoxanthine(P=0.000),vitamin B6(P=0.000),cholic acid(P=0.013),and taurocholate(P=0.002).Correlation analysis showed a significant association between the perturbed fecal microbiota and metabolite levels,with a notable negative relationship between LCA and Bacteroides.CONCLUSIONS:In this study,we demonstrated that moxibustion has an antifatigue-like effect.The results from the 16S rRNA gene sequencing and metabolomics analysis suggest that the therapeutic effects of moxibustion on CFS are related to the regulation of gut microorganisms and their metabolites.The increase in Bacteroides and decrease in LCA may be key targets for the moxibustion treatment of CFS. | LI Chaoran YANG Yan FENG Chuwen LI Heng QU Yuanyuan WANG Yulin WANG Delong WANG Qingyong GUO Jing SHI Tianyu SUN Xiaowei WANG Xue HOU Yunlong SUN Zhongren YANG Tiansong | 2023 | Journal of Traditional Chinese Medicine2023，43，6： | 0 |
| 10 | Effectiveness of Xiaoyao capsule(逍遥丸)on sleep disorders and mood disturbance in patients in recovery from coronavirus disease 2019:a randomized controlled trial显示文摘OBJECTIVE:To study the efficacy of Xiaoyao capsule(逍遥丸)in improving the clinical symptoms of sleep and mood disorders during recovery from coronavirus disease 2019(COVID-19).METHODS:The study cohort comprised 200 patients with sleep and mood disorders during recovery from COVID-19.Patients were randomized into the control group and the experimental group in a 1:1 ratio by blocked randomization.The patients received either Xiaoyao capsule(experimental group)or a placebo Xiaoyao capsule(control group)for 2 weeks.The improvements in the Traditional Chinese Medicine(TCM)syndrome scales,total effective rates,and disappearance rates of irritability,anxiety,and poor sleep were compared between the two groups.RESULTS:The TCM syndrome pattern scales,total effective rates,and disappearance rates of irritability,anxiety,and poor sleep did not significantly differ between the experimental group versus the control group in the full analysis set and the per protocol set after 1 and 2 weeks of treatment(P>0.05).CONCLUSIONS:Xiaoyao capsule do not significantly improve the clinical symptoms of sleep and mood disorders in patients in recovery from COVID-19. | YANG Cunqing LIAN Fengmei YANG Guiping HUANG Yufeng ZHANG Shuangbin WANG Jianghua ZHOU Jing GUO Dongqing SHEN Chuanyun YE Tiansong FU Aojie LI Xiaoli CHEN Le ZHANG Huifeng TU Qiyin WANG Ying YANG Wenzhe TONG Xiaolin BA Yuanming | 2023 | Journal of Traditional Chinese Medicine2023，43，2： | 0 |
| 11 | Value of negatively correlated miR-205-5p/HMGB3 and miR-96-5p/FOXO1 on the diagnosis of breast cancer and benign breast diseases显示文摘Background:MicroRNA(miRNA)and mRNA levels in matching specimens were used to identify miRNA–mRNA interactions.We aimed to integrate transcriptome,immunophenotype,methylation,mutation,and survival data analyses to examine the profiles of miRNAs and target mRNAs and their associations with breast cancer(BC)diagnosis.Methods:Based on the Gene Expression Omnibus(GEO)database and The Cancer Genome Atlas(TCGA),differentially expressed miRNAs and targeted mRNAs were screened from experimentally verified miRNA-target interaction databases using Pearson's correlation analysis.We used real-time quantitative reverse transcription polymerase chain reaction to verify BC and benign disease samples,and logistic regression analysis was used to establish a diagnostic model based on miRNAs and target mRNAs.Receiver operating characteristic curve analysis was performed to test the ability to recognize the miRNA-mRNA pairs.Next,we investigated the complex interactions between miRNA-mRNA regulatory pairs and phenotypic hallmarks.Results:We identified 27 and 359 dysregulated miRNAs and mRNAs,respectively,based on the GEO and TCGA databases.Using Pearson's correlation analysis,10 negative miRNA-mRNA regulatory pairs were identified after screening both databases,and the related miRNA and target mRNA levels were assessed in 40 BC tissues and 40 benign breast disease tissues.Two key regulatory pairs(miR-205-5p/High mobility group box 3(HMGB3)and miR-96-5p/Forkhead Box O1(FOXO1))were selected to establish the diagnostic model.They also had utility in survival and clinical analyses.Conclusions:A diagnostic model including two miRNAs and their respective target mRNAs was established to distinguish between BC and benign breast diseases.These markers play essential roles in BC pathogenesis. | Jiaying Li Shuang Peng Xuan Zou Xiangnan Geng Tongshan Wang Wei Zhu Tiansong Xia | 2023 | Cancer Pathogenesis and Therapy2023，1，3： | 0 |
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