Evidence map›Paper›PMID 37118274›Full record

ArticleNature food2023

Integrated multiomic wastewater-based epidemiology can elucidate population-level dietary behaviour and inform public health nutrition assessments.

Devin A Bowes, Erin M Driver, Sonja Savic, Qiwen Cheng, Corrie M Whisner, Rosa Krajmalnik-Brown, Rolf U Halden

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Using Wastewater to Monitor Suggested Changes in Dietary Intake: A Participatory Experiment.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Devin A BowesThe Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-9819-2503
Erin M DriverThe Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-9675-9764
Sonja SavicThe Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA.
Qiwen ChengThe Biodesign Institute Center for Health Through Microbiomes, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-3673-5821
Corrie M WhisnerThe Biodesign Institute Center for Health Through Microbiomes, Arizona State University, Tempe, AZ, USA.
Rosa Krajmalnik-BrownThe Biodesign Institute Center for Health Through Microbiomes, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-6064-3524
Rolf U HaldenThe Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA. rolf.halden@asu.edu.ORCID 0000-0001-5232-7361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

WastewaterWastewater-Based Epidemiological MonitoringDietHumansMultiomicsNutrition AssessmentPhytoestrogensPublic HealthUnited StatesPhytoestrogensWastewater

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.