Interplay between Cruciferous Vegetables and the Gut Microbiome: A Multi-Omic Approach
Bouranis JA, Beaver LM, Jiang D, Choi J, Wong CP, Davis EW, Williams DE, Sharpton TJ, Stevens JF, Ho E
Nutrients · 21 citas
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- Estudio in vitro o de mecanismos (clasificado por nuestro filtro de IA)
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- Células o muestras de laboratorio
- Resultado principal
- Solo mecanismos
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- U.S. Department of Agriculture
- Gobierno
- National Institutes of Health
- Gobierno
- National Institute of Food and Agriculture
- Universidad u hospital
- Oregon Agricultural Experimental Station
- Gobierno
- United States Department of Agriculture National Institute of Food and Agriculture
- Gobierno
- NIH HHS
- Subvenciones
- National Institutes of Health (NIFA-2020-67001-31214); U.S. Department of Agriculture (W-4002); National Institute of Food and Agriculture (2020-67001-31214); National Institutes of Health (OR00735); National Institutes of Health (W4002); National Institutes of Health (NIFA-2022-67011-36576); National Institute of Food and Agriculture (NIFA‐2020‐67001‐31214); U.S. Department of Agriculture (NIFA-2022-67011-36576); National Institute of Food and Agriculture (2022-67011-36576); National Institutes of Health (1s10rr027878-01); U.S. Department of Agriculture (NIFA-2020-67001-31214); National Institutes of Health (P30 ES030287); National Institute of Food and Agriculture (OR00735)
Según 6 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2022-12-22 · Nutrients · vol. 15 · número 1 · pág. 42
- Editorial
- Multidisciplinary Digital Publishing Institute
- Citado
- 29 citas · más que el 88% de estudios similares · 2.1× el promedio de su campo
- Referencias
- 101 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Gut microbiota and health · Genomics, phytochemicals, and oxidative stress · Metabolomics and Mass Spectrometry Studies
- Palabras clave
- Metabolomics, Biology, Brassica, Cruciferous vegetables, Food science, Microbiome, Metabolite, Feces, Botany, Biochemistry, Microbiology, Bioinformatics, Genetics
- MeSH
- humans, brassica, vegetables, rna, ribosomal, 16s, chromatography, liquid, health promotion, tandem mass spectrometry, metabolomics, gastrointestinal microbiome, multiomics
10 autores
- John A. Bouranis🇺🇸Oregon State University
- Laura M. Beaver🇺🇸Oregon State University
- Duo Jiang🇺🇸Oregon State University
- Jaewoo Choi🇺🇸Oregon State University
- Carmen P. Wong🇺🇸Oregon State University
- Edward W. Davis🇺🇸Oregon State University
- David E. J. Williams🇺🇸Oregon State University
- Thomas J. Sharpton🇺🇸Oregon State University
- Jan Frederik Stevens🇺🇸Oregon State University
- Emily H. Ho🇺🇸 · autor de correspondenciaOregon State University
Resumen
El texto original del estudio, en el idioma en que se publicó.
Brassica vegetables contain a multitude of bioactive compounds that prevent and suppress cancer and promote health. Evidence suggests that the gut microbiome may be essential in the production of these compounds; however, the relationship between specific microbes and the abundance of metabolites produced during cruciferous vegetable digestion are still unclear. We utilized an ex vivo human fecal incubation model with in vitro digested broccoli sprouts (Broc), Brussels sprouts (Brus), a combination of the two vegetables (Combo), or a negative control (NC) to investigate microbial metabolites of cruciferous vegetables. We conducted untargeted metabolomics on the fecal cultures by LC-MS/MS and completed 16S rRNA gene sequencing. We identified 72 microbial genera in our samples, 29 of which were significantly differentially abundant between treatment groups. A total of 4499 metabolomic features were found to be significantly different between treatment groups (q ≤ 0.05, fold change > 2). Chemical enrichment analysis revealed 45 classes of compounds to be significantly enriched by brassicas, including long-chain fatty acids, coumaric acids, and peptides. Multi-block PLS-DA and a filtering method were used to identify microbe−metabolite interactions. We identified 373 metabolites from brassica, which had strong relationships with microbes, such as members of the family Clostridiaceae and genus Intestinibacter, that may be microbially derived.
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