SCOPE: The soy isoflavone, daidzein, is metabolized by gut microbiota to O-desmethylangolensin (ODMA) and/or equol. Producing equol is postulated as a contributing factor for the beneficial effects of soy. METHODS AND RESULTS: This randomized, controlled, cross-over design used an untargeted metabolomic approach to assess the metabolic profile of different daidzein metabolizers. Adults (n = 17) with cardiometabolic risk factors receivedsoy nuts or control food for 4 weeks, separated by a 2-week washout. No significant differences were detected pre- and postintervention and between interventions. Examination of the ability to metabolize daidzein revealed three groups: ODMA only producers (n = 4), equol + ODMA producers (n = 8), and nonproducers (n = 5). Analysis of the serum metabolome revealed nonproducers could be distinguished from ODMA-only and equol + ODMA producers. Differences between these phenotypes were related to obesity and metabolic risk (methionine, asparagine, and trimethylamine) with equol + ODMA producers having lower concentrations, yet paradoxically higher pro-inflammatory cytokines. In urine, nonproducers clustered with ODMA producers and were distinct from equol + ODMA producers. Urinary metabolite profiles revealed significantly higher excretion of fumarate and 2-oxoglutarate, as well as pyroglutamate, alanine, and the gut microbial metabolite dimethylamine in equol + ODMA producers. CONCLUSION: These results emphasize that the serum and urine metabolomes are distinct based on the ability to metabolize isoflavones.
RCT Entities:
SCOPE: The soy isoflavone, daidzein, is metabolized by gut microbiota to O-desmethylangolensin (ODMA) and/or equol. Producing equol is postulated as a contributing factor for the beneficial effects of soy. METHODS AND RESULTS: This randomized, controlled, cross-over design used an untargeted metabolomic approach to assess the metabolic profile of different daidzein metabolizers. Adults (n = 17) with cardiometabolic risk factors received soy nuts or control food for 4 weeks, separated by a 2-week washout. No significant differences were detected pre- and postintervention and between interventions. Examination of the ability to metabolize daidzein revealed three groups: ODMA only producers (n = 4), equol + ODMA producers (n = 8), and nonproducers (n = 5). Analysis of the serum metabolome revealed nonproducers could be distinguished from ODMA-only and equol + ODMA producers. Differences between these phenotypes were related to obesity and metabolic risk (methionine, asparagine, and trimethylamine) with equol + ODMA producers having lower concentrations, yet paradoxically higher pro-inflammatory cytokines. In urine, nonproducers clustered with ODMA producers and were distinct from equol + ODMA producers. Urinary metabolite profiles revealed significantly higher excretion of fumarate and 2-oxoglutarate, as well as pyroglutamate, alanine, and the gut microbial metabolite dimethylamine in equol + ODMA producers. CONCLUSION: These results emphasize that the serum and urine metabolomes are distinct based on the ability to metabolize isoflavones.
Authors: Lucrecia Carrera-Quintanar; Rocío I López Roa; Saray Quintero-Fabián; Marina A Sánchez-Sánchez; Barbara Vizmanos; Daniel Ortuño-Sahagún Journal: Mediators Inflamm Date: 2018-03-26 Impact factor: 4.711
Authors: Sara Carbajo-Pescador; David Porras; María Victoria García-Mediavilla; Susana Martínez-Flórez; María Juarez-Fernández; María José Cuevas; José Luis Mauriz; Javier González-Gallego; Esther Nistal; Sonia Sánchez-Campos Journal: Dis Model Mech Date: 2019-04-30 Impact factor: 5.758
Authors: Victoria J Vieira-Potter; Tzu-Wen L Cross; Kelly S Swanson; Saurav J Sarma; Zhentian Lei; Lloyd W Sumner; Cheryl S Rosenfeld Journal: Sci Rep Date: 2018-11-15 Impact factor: 4.379