TY - JOUR
T1 - Integrated multiomic wastewater-based epidemiology can elucidate population-level dietary behaviour and inform public health nutrition assessments
AU - Bowes, Devin A.
AU - Driver, Erin M.
AU - Savic, Sonja
AU - Cheng, Qiwen
AU - Whisner, Corrie
AU - Krajmalnik-Brown, Rosa
AU - Halden, Rolf U.
N1 - Funding Information:
General : We thank the City of Tempe for their assistance in coordinating wastewater sample collection and transport that contributed to the success of this project. Figures and were created using BioRender.com (publication license agreement numbers HF24Z64Q5S (Fig. ) and ZX24Z64V39 (Fig. )). Funding: this study was made possible with funding from the Virginia G. Piper Charitable Trust (LTR 05/01/12) (R.U.H.). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. The authors received no specific funding for this work.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2023/3
Y1 - 2023/3
N2 - Population-level nutritional assessments often rely on self-reported data, which increases the risk of recall bias. Here, we demonstrate that wastewater-based epidemiology can be used for near real-time population dietary assessments. Neighbourhood-level, untreated wastewater samples were collected monthly from within an urban population in the south-western United States from August 2017 to July 2019. Using liquid chromatography–tandem mass spectrometry, we identify recurring seasonal dynamics in phytoestrogen consumption, including dietary changes linked to the winter holiday season. Using 16S ribosomal RNA gene amplicon sequencing, we demonstrated the feasibility of detecting sewage-derived human gut bacterial taxa involved in phytoestrogen metabolism, including Bifidobacterium, Blautia and Romboutsia. Combined metabolomic and genomic wastewater analysis can inform nutritional assessments at population scale, indicating wastewater-based epidemiology as a promising tool for actionable and cost-effective data collection to support public health nutrition.
AB - Population-level nutritional assessments often rely on self-reported data, which increases the risk of recall bias. Here, we demonstrate that wastewater-based epidemiology can be used for near real-time population dietary assessments. Neighbourhood-level, untreated wastewater samples were collected monthly from within an urban population in the south-western United States from August 2017 to July 2019. Using liquid chromatography–tandem mass spectrometry, we identify recurring seasonal dynamics in phytoestrogen consumption, including dietary changes linked to the winter holiday season. Using 16S ribosomal RNA gene amplicon sequencing, we demonstrated the feasibility of detecting sewage-derived human gut bacterial taxa involved in phytoestrogen metabolism, including Bifidobacterium, Blautia and Romboutsia. Combined metabolomic and genomic wastewater analysis can inform nutritional assessments at population scale, indicating wastewater-based epidemiology as a promising tool for actionable and cost-effective data collection to support public health nutrition.
UR - http://www.scopus.com/inward/record.url?scp=85149842277&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85149842277&partnerID=8YFLogxK
U2 - 10.1038/s43016-023-00717-w
DO - 10.1038/s43016-023-00717-w
M3 - Article
AN - SCOPUS:85149842277
SN - 2662-1355
VL - 4
SP - 257
EP - 266
JO - Nature Food
JF - Nature Food
IS - 3
ER -