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For: Armour CR, Nayfach S, Pollard KS, Sharpton TJ. A Metagenomic Meta-analysis Reveals Functional Signatures of Health and Disease in the Human Gut Microbiome. mSystems 2019;4:e00332-18. [PMID: 31098399 DOI: 10.1128/mSystems.00332-18] [Cited by in Crossref: 52] [Cited by in F6Publishing: 35] [Article Influence: 17.3] [Reference Citation Analysis]
Number Citing Articles
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5 Zhang Z, Mocanu V, Cai C, Dang J, Slater L, Deehan EC, Walter J, Madsen KL. Impact of Fecal Microbiota Transplantation on Obesity and Metabolic Syndrome-A Systematic Review.Nutrients. 2019;11. [PMID: 31557953 DOI: 10.3390/nu11102291] [Cited by in Crossref: 50] [Cited by in F6Publishing: 44] [Article Influence: 16.7] [Reference Citation Analysis]
6 Ortega VA, Mercer EM, Giesbrecht GF, Arrieta MC. Evolutionary Significance of the Neuroendocrine Stress Axis on Vertebrate Immunity and the Influence of the Microbiome on Early-Life Stress Regulation and Health Outcomes. Front Microbiol 2021;12:634539. [PMID: 33897639 DOI: 10.3389/fmicb.2021.634539] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
7 Raber J, Fuentes Anaya A, Torres ERS, Lee J, Boutros S, Grygoryev D, Hammer A, Kasschau KD, Sharpton TJ, Turker MS, Kronenberg A. Effects of Six Sequential Charged Particle Beams on Behavioral and Cognitive Performance in B6D2F1 Female and Male Mice. Front Physiol 2020;11:959. [PMID: 32982769 DOI: 10.3389/fphys.2020.00959] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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10 Palmas V, Pisanu S, Madau V, Casula E, Deledda A, Cusano R, Uva P, Vascellari S, Loviselli A, Manzin A, Velluzzi F. Gut microbiota markers associated with obesity and overweight in Italian adults. Sci Rep 2021;11:5532. [PMID: 33750881 DOI: 10.1038/s41598-021-84928-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Kumari R, Palaniyandi S, Strattan E, Hildebrandt GC. Microbiome: an emerging new frontier in graft‑versus‑host disease. Inflamm Res 2021;70:1-5. [PMID: 33185704 DOI: 10.1007/s00011-020-01419-w] [Reference Citation Analysis]
12 Feehily C, Crosby D, Walsh CJ, Lawton EM, Higgins S, McAuliffe FM, Cotter PD. Shotgun sequencing of the vaginal microbiome reveals both a species and functional potential signature of preterm birth. NPJ Biofilms Microbiomes 2020;6:50. [PMID: 33184260 DOI: 10.1038/s41522-020-00162-8] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
13 De Maria Marchiano R, Di Sante G, Piro G, Carbone C, Tortora G, Boldrini L, Pietragalla A, Daniele G, Tredicine M, Cesario A, Valentini V, Gallo D, Babini G, D'Oria M, Scambia G. Translational Research in the Era of Precision Medicine: Where We Are and Where We Will Go. J Pers Med 2021;11:216. [PMID: 33803592 DOI: 10.3390/jpm11030216] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
14 Pisanu S, Palmas V, Madau V, Casula E, Deledda A, Cusano R, Uva P, Vascellari S, Boi F, Loviselli A, Manzin A, Velluzzi F. Impact of a Moderately Hypocaloric Mediterranean Diet on the Gut Microbiota Composition of Italian Obese Patients. Nutrients 2020;12:E2707. [PMID: 32899756 DOI: 10.3390/nu12092707] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 4.5] [Reference Citation Analysis]
15 Moreno-Indias I, Lahti L, Nedyalkova M, Elbere I, Roshchupkin G, Adilovic M, Aydemir O, Bakir-Gungor B, Santa Pau EC, D'Elia D, Desai MS, Falquet L, Gundogdu A, Hron K, Klammsteiner T, Lopes MB, Marcos-Zambrano LJ, Marques C, Mason M, May P, Pašić L, Pio G, Pongor S, Promponas VJ, Przymus P, Saez-Rodriguez J, Sampri A, Shigdel R, Stres B, Suharoschi R, Truu J, Truică CO, Vilne B, Vlachakis D, Yilmaz E, Zeller G, Zomer AL, Gómez-Cabrero D, Claesson MJ. Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions. Front Microbiol 2021;12:635781. [PMID: 33692771 DOI: 10.3389/fmicb.2021.635781] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
16 Huang PY, Yang YC, Wang CI, Hsiao PW, Chiang HI, Chen TW. Increase in Akkermansiaceae in Gut Microbiota of Prostate Cancer-Bearing Mice. Int J Mol Sci 2021;22:9626. [PMID: 34502535 DOI: 10.3390/ijms22179626] [Reference Citation Analysis]
17 Stevens EJ, Bates KA, King KC. Host microbiota can facilitate pathogen infection. PLoS Pathog 2021;17:e1009514. [PMID: 33984069 DOI: 10.1371/journal.ppat.1009514] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
18 Lee YH, Kang GU, Jeon SY, Tagele SB, Pham HQ, Kim MS, Ahmad S, Jung DR, Park YJ, Han HS, Shin JH, Chong GO. Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia. Diagnostics (Basel) 2020;10:E1013. [PMID: 33256024 DOI: 10.3390/diagnostics10121013] [Reference Citation Analysis]
19 Sutherland VL, McQueen CA, Mendrick D, Gulezian D, Cerniglia C, Foley S, Forry S, Khare S, Liang X, Manautou JE, Tweedie D, Young H, Alekseyenko AV, Burns F, Dietert R, Wilson A, Chen C. The Gut Microbiome and Xenobiotics: Identifying Knowledge Gaps. Toxicol Sci 2020;176:1-10. [PMID: 32658296 DOI: 10.1093/toxsci/kfaa060] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
20 Ghosh TS, Das M, Jeffery IB, O'Toole PW. Adjusting for age improves identification of gut microbiome alterations in multiple diseases. Elife 2020;9:e50240. [PMID: 32159510 DOI: 10.7554/eLife.50240] [Cited by in Crossref: 30] [Cited by in F6Publishing: 13] [Article Influence: 15.0] [Reference Citation Analysis]
21 Michels N, Zouiouich S, Vanderbauwhede B, Vanacker J, Indave Ruiz BI, Huybrechts I. Human microbiome and metabolic health: An overview of systematic reviews. Obes Rev 2022;:e13409. [PMID: 34978141 DOI: 10.1111/obr.13409] [Reference Citation Analysis]
22 Gaulke CA, Schmeltzer ER, Dasenko M, Tyler BM, Vega Thurber R, Sharpton TJ. Evaluation of the Effects of Library Preparation Procedure and Sample Characteristics on the Accuracy of Metagenomic Profiles. mSystems 2021;6:e0044021. [PMID: 34636674 DOI: 10.1128/mSystems.00440-21] [Reference Citation Analysis]
23 Wallace RK. The Microbiome in Health and Disease from the Perspective of Modern Medicine and Ayurveda. Medicina (Kaunas) 2020;56:E462. [PMID: 32932766 DOI: 10.3390/medicina56090462] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
24 Nataraj BH, Shivanna SK, Rao P, Nagpal R, Behare PV. Evolutionary concepts in the functional biotics arena: a mini-review. Food Sci Biotechnol 2021;30:487-96. [PMID: 33936839 DOI: 10.1007/s10068-020-00818-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
25 Beresford-Jones BS, Forster SC, Stares MD, Notley G, Viciani E, Browne HP, Boehmler DJ, Soderholm AT, Kumar N, Vervier K, Cross JR, Almeida A, Lawley TD, Pedicord VA. The Mouse Gastrointestinal Bacteria Catalogue enables translation between the mouse and human gut microbiotas via functional mapping. Cell Host Microbe 2021:S1931-3128(21)00568-0. [PMID: 34971560 DOI: 10.1016/j.chom.2021.12.003] [Reference Citation Analysis]
26 Wang Y, Ye X, Ding D, Lu Y. Characteristics of the intestinal flora in patients with peripheral neuropathy associated with type 2 diabetes. J Int Med Res 2020;48:300060520936806. [PMID: 32938282 DOI: 10.1177/0300060520936806] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
27 Treiber ML, Taft DH, Korf I, Mills DA, Lemay DG. Pre- and post-sequencing recommendations for functional annotation of human fecal metagenomes. BMC Bioinformatics 2020;21:74. [PMID: 32093654 DOI: 10.1186/s12859-020-3416-y] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
28 Poulsen CS, Ekstrøm CT, Aarestrup FM, Pamp SJ. Library Preparation and Sequencing Platform Introduce Bias in Metagenomic-Based Characterizations of Microbiomes. Microbiol Spectr 2022;:e0009022. [PMID: 35289669 DOI: 10.1128/spectrum.00090-22] [Reference Citation Analysis]
29 Han P, Gu JQ, Li LS, Wang XY, Wang HT, Wang Y, Chang C, Sun JL. The Association Between Intestinal Bacteria and Allergic Diseases-Cause or Consequence? Front Cell Infect Microbiol 2021;11:650893. [PMID: 33937097 DOI: 10.3389/fcimb.2021.650893] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
30 Bakir-gungor B, Hacılar H, Jabeer A, Nalbantoglu OU, Aran O, Yousef M. Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods. PeerJ 2022;10:e13205. [DOI: 10.7717/peerj.13205] [Reference Citation Analysis]
31 Marfil-Sánchez A, Zhang L, Alonso-Pernas P, Mirhakkak M, Mueller M, Seelbinder B, Ni Y, Santhanam R, Busch A, Beemelmanns C, Ermolaeva M, Bauer M, Panagiotou G. An integrative understanding of the large metabolic shifts induced by antibiotics in critical illness. Gut Microbes 2021;13:1993598. [PMID: 34793277 DOI: 10.1080/19490976.2021.1993598] [Reference Citation Analysis]
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33 Latorre-Pérez A, Hernández M, Iglesias JR, Morán J, Pascual J, Porcar M, Vilanova C, Collado L. The Spanish gut microbiome reveals links between microorganisms and Mediterranean diet. Sci Rep 2021;11:21602. [PMID: 34759297 DOI: 10.1038/s41598-021-01002-1] [Reference Citation Analysis]
34 Shukla R, Pahal S, Gupta A, Choudhary P, Misra K, Singh S. Modulation of GPCR receptors common to gut inflammatory diseases and neuronal disorders, Alzheimer’s and Parkinson’s diseases as druggable targets through Withania somnifera bioactives: an in silico study. Journal of Biomolecular Structure and Dynamics. [DOI: 10.1080/07391102.2022.2068072] [Reference Citation Analysis]
35 Gupta VK, Kim M, Bakshi U, Cunningham KY, Davis JM 3rd, Lazaridis KN, Nelson H, Chia N, Sung J. A predictive index for health status using species-level gut microbiome profiling. Nat Commun 2020;11:4635. [PMID: 32934239 DOI: 10.1038/s41467-020-18476-8] [Cited by in Crossref: 22] [Cited by in F6Publishing: 21] [Article Influence: 11.0] [Reference Citation Analysis]
36 Chen Y, Wu T, Lu W, Yuan W, Pan M, Lee YK, Zhao J, Zhang H, Chen W, Zhu J, Wang H. Predicting the Role of the Human Gut Microbiome in Constipation Using Machine-Learning Methods: A Meta-Analysis. Microorganisms 2021;9:2149. [PMID: 34683469 DOI: 10.3390/microorganisms9102149] [Reference Citation Analysis]
37 Bilen M. Strategies and advancements in human microbiome description and the importance of culturomics. Microb Pathog 2020;149:104460. [PMID: 32853680 DOI: 10.1016/j.micpath.2020.104460] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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39 Le Goallec A, Tierney BT, Luber JM, Cofer EM, Kostic AD, Patel CJ. A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. PLoS Comput Biol 2020;16:e1007895. [PMID: 32392251 DOI: 10.1371/journal.pcbi.1007895] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
40 Mallick H, Rahnavard A, McIver LJ, Ma S, Zhang Y, Nguyen LH, Tickle TL, Weingart G, Ren B, Schwager EH, Chatterjee S, Thompson KN, Wilkinson JE, Subramanian A, Lu Y, Waldron L, Paulson JN, Franzosa EA, Bravo HC, Huttenhower C. Multivariable association discovery in population-scale meta-omics studies. PLoS Comput Biol 2021;17:e1009442. [PMID: 34784344 DOI: 10.1371/journal.pcbi.1009442] [Cited by in Crossref: 4] [Article Influence: 4.0] [Reference Citation Analysis]
41 Grumet L, Tromp Y, Stiegelbauer V. The Development of High-Quality Multispecies Probiotic Formulations: From Bench to Market. Nutrients 2020;12:E2453. [PMID: 32824147 DOI: 10.3390/nu12082453] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
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43 Liu Y, Li W, Yang H, Zhang X, Wang W, Jia S, Xiang B, Wang Y, Miao L, Zhang H, Wang L, Wang Y, Song J, Sun Y, Chai L, Tian X. Leveraging 16S rRNA Microbiome Sequencing Data to Identify Bacterial Signatures for Irritable Bowel Syndrome. Front Cell Infect Microbiol 2021;11:645951. [PMID: 34178718 DOI: 10.3389/fcimb.2021.645951] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
44 Bengtsson-Palme J. Microbial model communities: To understand complexity, harness the power of simplicity. Comput Struct Biotechnol J 2020;18:3987-4001. [PMID: 33363696 DOI: 10.1016/j.csbj.2020.11.043] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
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46 Sharpton TJ, Stagaman K, Sieler MJ Jr, Arnold HK, Davis EW 2nd. Phylogenetic Integration Reveals the Zebrafish Core Microbiome and Its Sensitivity to Environmental Exposures. Toxics 2021;9:10. [PMID: 33467528 DOI: 10.3390/toxics9010010] [Reference Citation Analysis]
47 Popescu SC, Tomaso-peterson M, Wilkerson T, Bronzato-badial A, Wesser U, Popescu GV. Metagenomic Analyses of the Soybean Root Mycobiome and Microbiome Reveal Signatures of the Healthy and Diseased Plants Affected by Taproot Decline. Microorganisms 2022;10:856. [DOI: 10.3390/microorganisms10050856] [Reference Citation Analysis]
48 David MM, Tataru C, Pope Q, Baker LJ, English MK, Epstein HE, Hammer A, Kent M, Sieler MJ Jr, Mueller RS, Sharpton TJ, Tomas F, Vega Thurber R, Fern XZ. Revealing General Patterns of Microbiomes That Transcend Systems: Potential and Challenges of Deep Transfer Learning. mSystems 2022;:e0105821. [PMID: 35040699 DOI: 10.1128/msystems.01058-21] [Reference Citation Analysis]
49 Chen Y, Wang H, Lu W, Wu T, Yuan W, Zhu J, Lee YK, Zhao J, Zhang H, Chen W. Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning. Gut Microbes 2022;14:2025016. [PMID: 35040752 DOI: 10.1080/19490976.2021.2025016] [Reference Citation Analysis]
50 Aleksandrova K, Egea Rodrigues C, Floegel A, Ahrens W. Omics Biomarkers in Obesity: Novel Etiological Insights and Targets for Precision Prevention. Curr Obes Rep 2020;9:219-30. [PMID: 32594318 DOI: 10.1007/s13679-020-00393-y] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]