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For: Yu M, Jia HM, Zhou C, Yang Y, Sun LL, Zou ZM. Urinary and Fecal Metabonomics Study of the Protective Effect of Chaihu-Shu-Gan-San on Antibiotic-Induced Gut Microbiota Dysbiosis in Rats. Sci Rep 2017;7:46551. [PMID: 28425490 DOI: 10.1038/srep46551] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 4.2] [Reference Citation Analysis]
Number Citing Articles
1 Xu J, Zhang Q, Zheng J, Yuan B, Feng Y. Mass spectrometry-based fecal metabolome analysis. TrAC Trends in Analytical Chemistry 2019;112:161-74. [DOI: 10.1016/j.trac.2018.12.027] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
2 Liang Y, Dong T, Chen M, He L, Wang T, Liu X, Chang H, Mao JH, Hang B, Snijders AM, Xia Y. Systematic Analysis of Impact of Sampling Regions and Storage Methods on Fecal Gut Microbiome and Metabolome Profiles. mSphere 2020;5:e00763-19. [PMID: 31915218 DOI: 10.1128/mSphere.00763-19] [Cited by in Crossref: 15] [Cited by in F6Publishing: 9] [Article Influence: 7.5] [Reference Citation Analysis]
3 Kang ZQ, Hu JL, Chen MY, Mao Y, Xie LF, Yang N, Liu T, Zhang W, Huang WH. Effects of Capsaicin on the Hypoglycemic Regulation of Metformin and Gut Microbiota Profiles in Type 2 Diabetic Rats. Am J Chin Med 2022;50:839-61. [PMID: 35300567 DOI: 10.1142/S0192415X22500355] [Reference Citation Analysis]
4 Chen R, Wang J, Zhan R, Zhang L, Wang X. Fecal metabonomics combined with 16S rRNA gene sequencing to analyze the changes of gut microbiota in rats with kidney-yang deficiency syndrome and the intervention effect of You-gui pill. J Ethnopharmacol 2019;244:112139. [PMID: 31401318 DOI: 10.1016/j.jep.2019.112139] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.7] [Reference Citation Analysis]
5 Kanwal S, Joseph TP, Owusu L, Xiaomeng R, Meiqi L, Yi X. A Polysaccharide Isolated from Dictyophora indusiata Promotes Recovery from Antibiotic-Driven Intestinal Dysbiosis and Improves Gut Epithelial Barrier Function in a Mouse Model. Nutrients 2018;10:E1003. [PMID: 30065236 DOI: 10.3390/nu10081003] [Cited by in Crossref: 26] [Cited by in F6Publishing: 23] [Article Influence: 6.5] [Reference Citation Analysis]
6 Ito K, Miyamoto H, Matsuura M, Ishii C, Tsuboi A, Tsuji N, Nakaguma T, Nakanishi Y, Kato T, Suda W, Honda F, Ito T, Moriya S, Shima H, Michibata R, Yamada R, Takahashi Y, Koga H, Kodama H, Watanabe Y, Kikuchi J, Ohno H. Noninvasive fecal metabolic profiling for the evaluation of characteristics of thermostable lactic acid bacteria, Weizmannia coagulans SANK70258, for broiler chickens. J Biosci Bioeng 2022:S1389-1723(22)00132-3. [PMID: 35718655 DOI: 10.1016/j.jbiosc.2022.05.006] [Reference Citation Analysis]
7 Ji P, Li CC, Wei YM, Hua YL, Yao WL, Wu FL, Zhang XS, Yuan ZW, Zhao NS, Zhang YH, Wen YQ. A new method providing complementary explanation of the blood-enriching function and mechanism of unprocessed Angelica sinensis and its four kinds of processed products based on tissue-integrated metabolomics and confirmatory analysis. Biomed Chromatogr 2021;:e5252. [PMID: 34591996 DOI: 10.1002/bmc.5252] [Reference Citation Analysis]
8 Zhao J, Quan P, Liu H, Li L, Qi S, Zhang M, Zhang B, Li H, Zhao Y, Ma B, Han M, Zhang H, Xing L. Transcriptomic and Metabolic Analyses Provide New Insights into the Apple Fruit Quality Decline during Long-Term Cold Storage. J Agric Food Chem 2020;68:4699-716. [PMID: 32078318 DOI: 10.1021/acs.jafc.9b07107] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
9 Yang X, Tang T, Wen J, Li M, Chen J, Li T, Dai Y, Cheng Q. Effects of S24-7 on the weight of progeny rats after exposure to ceftriaxone sodium during pregnancy. BMC Microbiol 2021;21:166. [PMID: 34082715 DOI: 10.1186/s12866-021-02231-0] [Reference Citation Analysis]
10 Dou X, Qiao L, Chang J, Yan S, Song X, Chen Y, Xu Q, Xu C. Lactobacillus casei ATCC 393 and it's metabolites alleviate dextran sulphate sodium-induced ulcerative colitis in mice through the NLRP3-(Caspase-1)/IL-1β pathway. Food Funct 2021;12:12022-35. [PMID: 34755743 DOI: 10.1039/d1fo02405a] [Reference Citation Analysis]
11 Zhang LY, Zhou T, Zhang YM, Xu XM, Li YY, Wei KX, He JP, Ding N, Zhou H, Liu YQ. Guiqi Baizhu Decoction Alleviates Radiation Inflammation in Rats by Modulating the Composition of the Gut Microbiota. Evid Based Complement Alternat Med 2020;2020:9017854. [PMID: 33133218 DOI: 10.1155/2020/9017854] [Reference Citation Analysis]
12 Sun Y, Liu T, Si Y, Cao B, Zhang Y, Zheng X, Feng W. Integrated metabolomics and 16S rRNA sequencing to investigate the regulation of Chinese yam on antibiotic-induced intestinal dysbiosis in rats. Artif Cells Nanomed Biotechnol 2019;47:3382-90. [PMID: 31422707 DOI: 10.1080/21691401.2019.1649271] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
13 Shi W, Ye H, Deng Y, Chen S, Xiao W, Wang Z, Xiong Z, Zhao L. Yaobitong capsules reshape and rebalance the gut microbiota and metabolites of arthritic rats: An integrated study of microbiome and fecal metabolomics analysis. J Chromatogr B Analyt Technol Biomed Life Sci 2022;1190:123096. [PMID: 34998201 DOI: 10.1016/j.jchromb.2021.123096] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Di S, Wang Y, Han L, Bao Q, Gao Z, Wang Q, Yang Y, Zhao L, Tong X. The Intervention Effect of Traditional Chinese Medicine on the Intestinal Flora and Its Metabolites in Glycolipid Metabolic Disorders. Evid Based Complement Alternat Med 2019;2019:2958920. [PMID: 31275408 DOI: 10.1155/2019/2958920] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
15 Cheng H, Liu J, Zhang D, Tan Y, Feng W, Peng C. Gut microbiota, bile acids, and nature compounds. Phytother Res 2022. [PMID: 35701855 DOI: 10.1002/ptr.7517] [Reference Citation Analysis]
16 Huang G, Wang Z, Wu G, Cao X, Zhang R, Dong L, Huang F, Zhang M, Su D. In vitro simulated digestion and colonic fermentation of lychee pulp phenolics and their impact on metabolic pathways based on fecal metabolomics of mice. Food Funct 2021;12:203-14. [DOI: 10.1039/d0fo02319a] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
17 Liu X, Zheng H, Lu R, Huang H, Zhu H, Yin C, Mo Y, Wu J, Liu X, Deng M, Li D, Cheng B, Wu F, Liang Y, Guo H, Song H, Su Z. Intervening Effects of Total Alkaloids of Corydalis saxicola Bunting on Rats With Antibiotic-Induced Gut Microbiota Dysbiosis Based on 16S rRNA Gene Sequencing and Untargeted Metabolomics Analyses. Front Microbiol 2019;10:1151. [PMID: 31214133 DOI: 10.3389/fmicb.2019.01151] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.7] [Reference Citation Analysis]
18 Zhang Y, Zhao M, Jiang X, Qiao Q, Liu T, Zhao C, Wang M. Comprehensive Analysis of Fecal Microbiome and Metabolomics in Hepatic Fibrosis Rats Reveal Hepatoprotective Effects of Yinchen Wuling Powder From the Host-Microbial Metabolic Axis. Front Pharmacol 2021;12:713197. [PMID: 34385924 DOI: 10.3389/fphar.2021.713197] [Reference Citation Analysis]
19 Yi Y, Li Y, Guo S, Yan H, Ma X, Tao W, Shang E, Niu Y, Qian D, Duan J. Elucidation of the Reinforcing Spleen Effect of Jujube Fruits Based on Metabolomics and Intestinal Flora Analysis. Front Cell Infect Microbiol 2022;12:847828. [DOI: 10.3389/fcimb.2022.847828] [Reference Citation Analysis]
20 Kong Y, Feng YQ, Lu YT, Feng SS, Huang Z, Wang QY, Huang HM, Ling X, Su ZH, Guo Y. Predictive serum biomarkers of patients with cerebral infarction. Neurol Res 2021;:1-11. [PMID: 34763612 DOI: 10.1080/01616412.2021.1987055] [Reference Citation Analysis]
21 Ma WN, Zhou MM, Gou XJ, Zhao L, Cen F, Xu Y, Shen HY. Urinary Metabolomic Study of Chlorogenic Acid in a Rat Model of Chronic Sleep Deprivation Using Gas Chromatography-Mass Spectrometry. Int J Genomics 2018;2018:1361402. [PMID: 29607310 DOI: 10.1155/2018/1361402] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
22 Brubaker L, Carberry C, Nardos R, Carter-brooks C, Lowder JL. American Urogynecologic Society Best-Practice Statement: Recurrent Urinary Tract Infection in Adult Women. Female Pelvic Medicine & Reconstructive Surgery 2018;24:321-35. [DOI: 10.1097/spv.0000000000000550] [Cited by in Crossref: 20] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
23 Hung YT, Song Y, Hu Q, Faris RJ, Guo J, Ma Y, Saqui-Salces M, Urriola PE, Shurson GC, Chen C. Identification of Independent and Shared Metabolic Responses to High-Fiber and Antibiotic Treatments in Fecal Metabolome of Grow-Finish Pigs. Metabolites 2022;12:686. [PMID: 35893254 DOI: 10.3390/metabo12080686] [Reference Citation Analysis]
24 Fu Q, Zhou S, Yu M, Lu Y, He G, Huang X, Huang Y. Portulaca oleracea Polysaccharides Modulate Intestinal Microflora in Aged Rats in vitro. Front Microbiol 2022;13:841397. [DOI: 10.3389/fmicb.2022.841397] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
25 Xing L, Li Y, Qi S, Zhang C, Ma W, Zuo X, Liang J, Gao C, Jia P, Shah K, Zhang D, An N, Zhao C, Han M, Zhao J. Comparative RNA-Sequencing and DNA Methylation Analyses of Apple (Malus domestica Borkh.) Buds with Diverse Flowering Capabilities Reveal Novel Insights into the Regulatory Mechanisms of Flower Bud Formation. Plant and Cell Physiology 2019;60:1702-21. [DOI: 10.1093/pcp/pcz080] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
26 Tian J, Meng Y, Wu Y, Zhao L, Xiang H, Jia J, Qin X. A novel insight into the underlying mechanism of Baihe Dihuang Tang improving the state of psychological suboptimal health subjects obtained from plasma metabolic profiles and network analysis. Journal of Pharmaceutical and Biomedical Analysis 2019;169:99-110. [DOI: 10.1016/j.jpba.2019.02.041] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
27 Vemuri R, Shinde T, Gundamaraju R, Gondalia SV, Karpe AV, Beale DJ, Martoni CJ, Eri R. Lactobacillus acidophilus DDS-1 Modulates the Gut Microbiota and Improves Metabolic Profiles in Aging Mice. Nutrients 2018;10:E1255. [PMID: 30200669 DOI: 10.3390/nu10091255] [Cited by in Crossref: 24] [Cited by in F6Publishing: 24] [Article Influence: 6.0] [Reference Citation Analysis]
28 Xing L, Qi S, Zhou H, Zhang W, Zhang C, Ma W, Zhang Q, Shah K, Han M, Zhao J. Epigenomic Regulatory Mechanism in Vegetative Phase Transition of Malus hupehensis. J Agric Food Chem 2020;68:4812-29. [PMID: 32227940 DOI: 10.1021/acs.jafc.0c00478] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
29 Vemuri R, Gundamaraju R, Shinde T, Perera AP, Basheer W, Southam B, Gondalia SV, Karpe AV, Beale DJ, Tristram S, Ahuja KDK, Ball M, Martoni CJ, Eri R. Lactobacillus acidophilus DDS-1 Modulates Intestinal-Specific Microbiota, Short-Chain Fatty Acid and Immunological Profiles in Aging Mice. Nutrients 2019;11:E1297. [PMID: 31181695 DOI: 10.3390/nu11061297] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 7.0] [Reference Citation Analysis]
30 Gangadoo S, Rajapaksha Pathirannahalage P, Cheeseman S, Dang YTH, Elbourne A, Cozzolino D, Latham K, Truong VK, Chapman J. The Multiomics Analyses of Fecal Matrix and Its Significance to Coeliac Disease Gut Profiling. Int J Mol Sci 2021;22:1965. [PMID: 33671197 DOI: 10.3390/ijms22041965] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
31 Chen MX, Wang SY, Kuo CH, Tsai IL. Metabolome analysis for investigating host-gut microbiota interactions. J Formos Med Assoc. 2019;118 Suppl 1:S10-S22. [PMID: 30269936 DOI: 10.1016/j.jfma.2018.09.007] [Cited by in Crossref: 38] [Cited by in F6Publishing: 39] [Article Influence: 9.5] [Reference Citation Analysis]