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For: Wakita Y, Shimomura Y, Kitada Y, Yamamoto H, Ohashi Y, Matsumoto M. Taxonomic classification for microbiome analysis, which correlates well with the metabolite milieu of the gut. BMC Microbiol 2018;18:188. [PMID: 30445918 DOI: 10.1186/s12866-018-1311-8] [Cited by in Crossref: 23] [Cited by in F6Publishing: 20] [Article Influence: 5.8] [Reference Citation Analysis]
Number Citing Articles
1 Bardanzellu F, Peila C, Fanos V, Coscia A. Clinical insights gained through metabolomic analysis of human breast milk. Expert Rev Proteomics 2019;16:909-32. [PMID: 31825672 DOI: 10.1080/14789450.2019.1703679] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
2 Brubaker L, Luu S, Hoffman K, Wood A, Navarro Cagigas M, Yao Q, Petrosino J, Fisher W, Van Buren G. Microbiome changes associated with acute and chronic pancreatitis: A systematic review. Pancreatology 2021;21:1-14. [PMID: 33376062 DOI: 10.1016/j.pan.2020.12.013] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
3 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]
4 Xia Y. Correlation and association analyses in microbiome study integrating multiomics in health and disease. Prog Mol Biol Transl Sci 2020;171:309-491. [PMID: 32475527 DOI: 10.1016/bs.pmbts.2020.04.003] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Liu X, Vigorito M, Huang W, Khan MAS, Chang SL. The Impact of Alcohol-Induced Dysbiosis on Diseases and Disorders of the Central Nervous System. J Neuroimmune Pharmacol 2021. [PMID: 34843074 DOI: 10.1007/s11481-021-10033-4] [Reference Citation Analysis]
6 Wakita Y, Saiki A, Kaneda H, Segawa S, Tsuchiya Y, Kameya H, Okamoto S. Analysis of free radical production capacity in mouse faeces and its possible application in evaluating the intestinal environment: a pilot study. Sci Rep 2019;9:19533. [PMID: 31862981 DOI: 10.1038/s41598-019-56004-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
7 Shimizu C, Wakita Y, Inoue T, Hiramitsu M, Okada M, Mitani Y, Segawa S, Tsuchiya Y, Nabeshima T. Effects of lifelong intake of lemon polyphenols on aging and intestinal microbiome in the senescence-accelerated mouse prone 1 (SAMP1). Sci Rep 2019;9:3671. [PMID: 30842523 DOI: 10.1038/s41598-019-40253-x] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
8 Shimizu C, Wakita Y, Tsuchiya Y, Nabeshima T. Influence of Housing Systems on Physical, Emotional, and Cognitive Functions with Aging in DBA/2CrSlc Mice. Animals (Basel) 2020;10:E746. [PMID: 32344780 DOI: 10.3390/ani10040746] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Carranza-Naval MJ, Vargas-Soria M, Hierro-Bujalance C, Baena-Nieto G, Garcia-Alloza M, Infante-Garcia C, Del Marco A. Alzheimer's Disease and Diabetes: Role of Diet, Microbiota and Inflammation in Preclinical Models. Biomolecules 2021;11:262. [PMID: 33578998 DOI: 10.3390/biom11020262] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]
10 Chung E, Elmassry MM, Cao JJ, Kaur G, Dufour JM, Hamood AN, Shen CL. Beneficial effect of dietary geranylgeraniol on glucose homeostasis and bone microstructure in obese mice is associated with suppression of proinflammation and modification of gut microbiome. Nutr Res 2021;93:27-37. [PMID: 34352722 DOI: 10.1016/j.nutres.2021.07.001] [Reference Citation Analysis]
11 Rodríguez-Hernández P, Cardador MJ, Arce L, Rodríguez-Estévez V. Analytical Tools for Disease Diagnosis in Animals via Fecal Volatilome. Crit Rev Anal Chem 2020;:1-16. [PMID: 33180561 DOI: 10.1080/10408347.2020.1843130] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
12 Gatea F, Sârbu I, Vamanu E. In Vitro Modulatory Effect of Stevioside, as a Partial Sugar Replacer in Sweeteners, on Human Child Microbiota. Microorganisms 2021;9:590. [PMID: 33805627 DOI: 10.3390/microorganisms9030590] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 Wipf HM, Xu L, Gao C, Spinner HB, Taylor J, Lemaux P, Mitchell J, Coleman-Derr D. Agricultural Soil Management Practices Differentially Shape the Bacterial and Fungal Microbiome of Sorghum bicolor. Appl Environ Microbiol 2020:AEM. [PMID: 33310712 DOI: 10.1128/AEM.02345-20] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 Zhang W, Ramautar R. CE-MS for metabolomics: Developments and applications in the period 2018-2020. Electrophoresis 2021;42:381-401. [PMID: 32906195 DOI: 10.1002/elps.202000203] [Cited by in Crossref: 6] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
15 Namkung J. Machine learning methods for microbiome studies. J Microbiol 2020;58:206-16. [DOI: 10.1007/s12275-020-0066-8] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 8.0] [Reference Citation Analysis]
16 Kessell AK, Mccullough HC, Auchtung JM, Bernstein HC, Song H. Predictive interactome modeling for precision microbiome engineering. Current Opinion in Chemical Engineering 2020;30:77-85. [DOI: 10.1016/j.coche.2020.08.003] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
17 Tataru CA, David MM. Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease. PLoS Comput Biol 2020;16:e1007859. [PMID: 32365061 DOI: 10.1371/journal.pcbi.1007859] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
18 González-Riano C, Dudzik D, Garcia A, Gil-de-la-Fuente A, Gradillas A, Godzien J, López-Gonzálvez Á, Rey-Stolle F, Rojo D, Ruperez FJ, Saiz J, Barbas C. Recent Developments along the Analytical Process for Metabolomics Workflows. Anal Chem 2020;92:203-26. [PMID: 31625723 DOI: 10.1021/acs.analchem.9b04553] [Cited by in Crossref: 28] [Cited by in F6Publishing: 27] [Article Influence: 9.3] [Reference Citation Analysis]
19 Al Bander Z, Nitert MD, Mousa A, Naderpoor N. The gut microbiota and inflammation: An overview. Int J Environ Res Public Health. 2020;17. [PMID: 33086688 DOI: 10.3390/ijerph17207618] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 10.5] [Reference Citation Analysis]
20 Chung E, Elmassry MM, Kottapalli P, Kottapalli KR, Kaur G, Dufour JM, Wright K, Ramalingam L, Moustaid-Moussa N, Wang R, Hamood AN, Shen CL. Metabolic benefits of annatto-extracted tocotrienol on glucose homeostasis, inflammation, and gut microbiome. Nutr Res 2020;77:97-107. [PMID: 32438021 DOI: 10.1016/j.nutres.2020.04.001] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
21 Kobayashi Y, Inaba H, Iwakura Y, Namba H, Sotoyama H, Murata Y, Iwamoto K, Nawa H. Inter-breeder differences in prepulse inhibition deficits of C57BL/6J mice in a maternal immune activation model. Neuropsychopharmacol Rep 2021;41:416-21. [PMID: 34043885 DOI: 10.1002/npr2.12178] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
22 Madan S, Mehra MR. Gut dysbiosis and heart failure: navigating the universe within. Eur J Heart Fail 2020;22:629-37. [DOI: 10.1002/ejhf.1792] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]