Eiseman, B., Silen, W., Bascom, G. S. & Kauvar, A. J. Fecal enema as an adjunct in the treatment of pseudomembranous enterocolitis. Surgery 44, 854–859 (1958).
Peppercorn, M. A. & Goldman, P. The role of intestinal bacteria in the metabolism of salicylazosulfapyridine. J. Pharmacol. Exp. Ther. 181, 555–562 (1972).
Wilson, K. H. & Blitchington, R. B. Human colonic biota studied by ribosomal DNA sequence analysis. Appl. Environ. Microbiol. 62, 2273–2278 (1996).
CAS PubMed PubMed Central Article Google Scholar
Eckburg, P. B. et al. Diversity of the human intestinal microbial flora. Science 308, 1635–1638 (2005).
PubMed PubMed Central Article Google Scholar
Gill, S. R. et al. Metagenomic analysis of the human distal gut microbiome. Science 312, 1355–1359 (2006).
CAS PubMed PubMed Central Article Google Scholar
Ley, R. E. et al. Obesity alters gut microbial ecology. Proc. Natl Acad. Sci. USA 102, 11070–11075 (2005). Early work demonstrating that not only does obesity influence gut microbial ecology, but manipulation thereof could have a role in regulating energy balance.
CAS PubMed PubMed Central Article Google Scholar
Turnbaugh, P. J. et al. The human microbiome project. Nature 449, 804–810 (2007).
CAS PubMed PubMed Central Article Google Scholar
Qin, J. et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 464, 59–65 (2010).
CAS PubMed PubMed Central Article Google Scholar
Human Microbiome Project Consortium. Structure, function and diversity of the healthy human microbiome. Nature 486, 207–214 (2012). At the time, the Human Microbiome Project was the largest and most comprehensive effort to characterize the typical human microbiome across body sites, a pioneering effort that demonstrated considerable variation in community structure despite relative stability in metabolic pathways between healthy individuals.
Yatsunenko, T. et al. Human gut microbiome viewed across age and geography. Nature 486, 222–227 (2012).
CAS PubMed PubMed Central Article Google Scholar
Kolde, R. et al. Host genetic variation and its microbiome interactions within the Human Microbiome Project. Genome Med. 10, 6 (2018).
PubMed PubMed Central Article Google Scholar
Lloyd-Price, J. et al. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature 569, 655–662 (2019). One of a trio of initial manuscripts from the NIH Common Fund’s Integrative Human Microbiome Project, a large-scale initiative to densely phenotype and integrate clinical and multi-omic data in several conditions with established host–microbiome links (IBD, preterm labour and diabetes, respectively).
CAS PubMed PubMed Central Article Google Scholar
Rothschild, D. et al. Environment dominates over host genetics in shaping human gut microbiota. Nature 555, 210–215 (2018).
CAS PubMed Article Google Scholar
Mirzayi, C. et al. Reporting guidelines for human microbiome research: the STORMS checklist. Nat. Med. 27, 1885–1892 (2021).
CAS PubMed PubMed Central Article Google Scholar
Sinha, R. et al. Assessment of variation in microbial community amplicon sequencing by the Microbiome Quality Control (MBQC) project consortium. Nat. Biotechnol. 35, 1077–1086 (2017). A multi-institutional effort to characterize the impact of heterogeneous upstream data generation protocols and bioinformatic workflows that, if not considered, can undermine the comparability of disparate population-scale microbiome studies.
CAS PubMed PubMed Central Article Google Scholar
Uffelmann, E. et al. Genome-wide association studies. Nat. Rev. Methods Prim. 1, 59 (2021).
Mallick, H. et al. Experimental design and quantitative analysis of microbial community multiomics. Genome Biol. 18, 228 (2017).
PubMed PubMed Central Article Google Scholar
Tsilimigras, M. C. B. & Fodor, A. A. Compositional data analysis of the microbiome: fundamentals, tools, and challenges. Ann. Epidemiol. 26, 330–335 (2016).
Hong, M.-G., Pawitan, Y., Magnusson, P. K. E. & Prince, J. A. Strategies and issues in the detection of pathway enrichment in genome-wide association studies. Hum. Genet. 126, 289–301 (2009).
CAS PubMed PubMed Central Article Google Scholar
Claussnitzer, M. et al. A brief history of human disease genetics. Nature 577, 179–189 (2020).
CAS PubMed PubMed Central Article Google Scholar
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K. & Knight, R. Diversity, stability and resilience of the human gut microbiota. Nature 489, 220–230 (2012).
CAS PubMed PubMed Central Article Google Scholar
Lloyd-Price, J., Abu-Ali, G. & Huttenhower, C. The healthy human microbiome. Genome Med. 8, 51 (2016).
PubMed PubMed Central Article Google Scholar
Franzosa, E. A. et al. Sequencing and beyond: integrating molecular “omics” for microbial community profiling. Nat. Rev. Microbiol. 13, 360–372 (2015).
CAS PubMed PubMed Central Article Google Scholar
Bauermeister, A., Mannochio-Russo, H., Costa-Lotufo, L. V., Jarmusch, A. K. & Dorrestein, P. C. Mass spectrometry-based metabolomics in microbiome investigations. Nat. Rev. Microbiol. 20, 143–160 (2022).
CAS PubMed Article Google Scholar
Zhang, Y. et al. Metatranscriptomics for the human microbiome and microbial community functional profiling. Annu. Rev. Biomed. Data Sci. 4, 279–311 (2021).
Hamady, M. & Knight, R. Microbial community profiling for human microbiome projects: tools, techniques, and challenges. Genome Res. 19, 1141–1152 (2009).
CAS PubMed PubMed Central Article Google Scholar
Morgan, X. C. & Huttenhower, C. Chapter 12: human microbiome analysis. PLoS Comput. Biol. 8, e1002808 (2012).
CAS PubMed PubMed Central Article Google Scholar
Qin, J. et al. A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature 490, 55–60 (2012).
CAS PubMed Article Google Scholar
Nishiwaki, H. et al. Meta-analysis of gut dysbiosis in Parkinson’s disease. Mov. Disord. 35, 1626–1635 (2020).
CAS PubMed Article Google Scholar
Asnicar, F. et al. Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals. Nat. Med. 27, 321–332 (2021).
CAS PubMed PubMed Central Article Google Scholar
Johnson, A. J. et al. Daily sampling reveals personalized diet-microbiome associations in humans. Cell Host Microbe 25, 789–802.e5 (2019). An in-depth exploration of the personalized links between dietary intake and gut microbial communities.
CAS PubMed Article Google Scholar
Choi, Y., Hoops, S. L., Thoma, C. J. & Johnson, A. J. A guide to dietary pattern-microbiome data integration. J. Nutr. 152, 1187–1199 (2022).
Qin, Y. et al. Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort. Nat. Genet. 54, 134–142 (2022).
CAS PubMed Article Google Scholar
Lopera-Maya, E. A. et al. Effect of host genetics on the gut microbiome in 7738 participants of the Dutch Microbiome Project. Nat. Genet. 54, 143–151 (2022).
CAS PubMed Article Google Scholar
Liu, X. et al. Mendelian randomization analyses support causal relationships between blood metabolites and the gut microbiome. Nat. Genet. 54, 52–61 (2022).
CAS PubMed Article Google Scholar
David, L. A. et al. Diet rapidly and reproducibly alters the human gut microbiome. Nature 505, 559–563 (2014).
CAS PubMed Article Google Scholar
von Schwartzenberg, R. J. et al. Caloric restriction disrupts the microbiota and colonization resistance. Nature 595, 272–277 (2021).
Sonnenburg, E. D. et al. Diet-induced extinctions in the gut microbiota compound over generations. Nature 529, 212–215 (2016). This study captures the interplay between dietary chemistry, microbial ecology and host health by demonstrating ways in which evolutionarily typical relationships can be disrupted (and restored).
留言 (0)