Evidence map›Paper›PMID 35759608›Full record

ArticleEnvironmental science & technology2022

Demonstrating a Comprehensive Wastewater-Based Surveillance Approach That Differentiates Globally Sourced Resistomes.

Maria Virginia Prieto Riquelme, Emily Garner, Suraj Gupta, Jake Metch, Ni Zhu, Matthew F Blair, Gustavo Arango-Argoty, Ayella Maile-Moskowitz, An-Dong Li, Carl-Fredrik Flach and 7 more

Open access · greenAbstract read
In one paragraph

Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.8field-weighted citation impact, top 5% of its field
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

37 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Molecular Insights into Carbapenem Resistance inInternational journal of molecular sciences · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Monitoring Antibiotic Resistance in Wastewater: Findings from Three Treatment Plants in Sicily, Italy.International journal of environmental research and public health · 2025
    Article
  20. Article
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

17 authors at 7 institutions in 5 countries.

Maria Virginia Prieto RiquelmeDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.
Emily GarnerDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.ORCID 0000-0002-1579-155X
Suraj GuptaDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.
Jake MetchDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.
Ni ZhuDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.
Matthew F BlairDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.
Gustavo Arango-ArgotyDepartment of Computer Science, Virginia Tech, Blacksburg, Virginia24061, United States.
Ayella Maile-MoskowitzDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.
An-Dong LiDepartment of Civil Engineering, The University of Hong Kong, Pokfulam, Hong Kong.
Carl-Fredrik FlachCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, 405 30Göteborg, Sweden.ORCID 0000-0002-4101-5095
Diana S AgaDepartment of Chemistry, University at Buffalo, Buffalo, New York14260, United States.ORCID 0000-0001-6512-7713
Indumathi M NambiDepartment of Civil Engineering, Indian Institute of Technology, Madras, Chennai600036, India.ORCID 0000-0002-2456-7138
D G Joakim LarssonCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, 405 30Göteborg, Sweden.ORCID 0000-0002-5496-0328
Helmut BürgmannEawag: Swiss Federal Institute of Aquatic Science and Technology, CH-6047Kastanienbaum, Switzerland.ORCID 0000-0002-5651-5906
Tong ZhangDepartment of Civil Engineering, The University of Hong Kong, Pokfulam, Hong Kong.ORCID 0000-0003-1148-4322
Amy PrudenDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.ORCID 0000-0002-3191-6244
Peter J VikeslandDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia24061, United States.ORCID 0000-0003-2654-5132
Virginia Tech · USUniversity of Gothenburg · SEUniversity of Hong Kong · HKIndian Institute of Technology Madras · INSwiss Federal Institute of Aquatic Science and Technology · CHUniversity at Buffalo, State University of New York · USWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based surveillance (WBS) for disease monitoring is highly promising but requires consistent methodologies that incorporate predetermined objectives, targets, and metrics. Herein, we describe a comprehensive metagenomics-based approach for global surveillance of antibiotic resistance in sewage that enables assessment of 1) which antibiotic resistance genes (ARGs) are shared across regions/communities; 2) which ARGs are discriminatory; and 3) factors associated with overall trends in ARGs, such as antibiotic concentrations. Across an internationally sourced transect of sewage samples collected using a centralized, standardized protocol, ARG relative abundances (16S rRNA gene-normalized) were highest in Hong Kong and India and lowest in Sweden and Switzerland, reflecting national policy, measured antibiotic concentrations, and metal resistance genes. Asian versus European/US resistomes were distinct, with macrolide-lincosamide-streptogramin, phenicol, quinolone, and tetracycline versus multidrug resistance ARGs being discriminatory, respectively. Regional trends in measured antibiotic concentrations differed from trends expected from public sales data. This could reflect unaccounted uses, captured only by the WBS approach. If properly benchmarked, antibiotic WBS might complement public sales and consumption statistics in the future. The WBS approach defined herein demonstrates multisite comparability and sensitivity to local/regional factors.

Indexed as

SewageWastewaterAnti-Bacterial AgentsGenes, BacterialRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16SSewageWastewaterantibiotic resistancemetagenomicsmicrobiomeresistomesewagewastewater-based surveillance (WBS)

Identifiers

PMID35759608
PMCPMC9631994
OpenAlexW4283579304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.