Evidence map›Paper›PMID 37201600›Full record

ReviewChemosphere2023

Understanding common population markers for SARS-CoV-2 RNA normalization in wastewater - A review.

Femi F Oloye, Yuwei Xie, Jonathan K Challis, Oluwabunmi P Femi-Oloye, Markus Brinkmann, Kerry N McPhedran, Paul D Jones, Mark R Servos, John P Giesy

Open access · greenAbstract readReview
In one paragraph

Review in Chemosphere, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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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

9 authors at 4 institutions in 2 countries.

Femi F OloyeToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada. Electronic address: pen2crown@yahoo.com.
Yuwei XieToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada.
Jonathan K ChallisToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada.
Oluwabunmi P Femi-OloyeToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada.
Markus BrinkmannToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada.
Kerry N McPhedranSchool of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada; Department of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada.
Paul D JonesToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada.
Mark R ServosDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.
John P GiesyToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Department of Environmental Sciences, Baylor University, Waco, TX, USA; Department of Integrative Biology and Center for Integrative Toxicology, Michigan State University, East Lansing, MI, 48824, USA. Electronic address: john.giesy@usask.ca.
University of Saskatchewan · CAGlobal Institute for Water Security · CAMichigan State University · USUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater monitoring and epidemiology have seen renewed interest during the recent COVID-19 pandemic. As a result, there is an increasing need to normalize wastewater-derived viral loads in local populations. Chemical tracers, both exogenous and endogenous compounds, have proven to be more stable and reliable for normalization than biological indicators. However, differing instrumentation and extraction methods can make it difficult to compare results. This review examines current extraction and quantification methods for ten common population indicators: creatinine, coprostanol, nicotine, cotinine, sucralose, acesulfame, androstenedione 5-hydroindoleacetic acid (5-HIAA), caffeine, and 1,7-dimethyluric acid. Some wastewater parameters such as ammonia, total nitrogen, total phosphorus, and daily flowrate were also evaluated. The analytical methods included direct injection, dilute and shoot, liquid/liquid, and solid phase extraction (SPE). Creatine, acesulfame, nicotine, 5-HIAA and androstenedione have been analysed by direct injection into LC-MS; however, most authors prefer to include SPE steps to avoid matrix effects. Both LC-MS and GC-MS have been successfully used to quantify coprostanol in wastewater, and the other selected indicators have been quantified successfully with LC-MS. Acidification to stabilize the sample before freezing to maintain the integrity of samples has been reported to be beneficial. However, there are arguments both for and against working at acidic pHs. Wastewater parameters mentioned earlier are quick and easy to quantify, but the data does not always represent the human population effectively. A preference for population indicators originating solely from humans is apparent. This review summarises methods employed for chemical indicators in wastewater, provides a basis for choosing an appropriate extraction and analysis method, and highlights the utility of accurate chemical tracer data for wastewater-based epidemiology.

Indexed as

COVID-19Water Pollutants, ChemicalAndrostenedioneCholestanolHumansHydroxyindoleacetic AcidIndicators and ReagentsNicotinePandemicsRNA, ViralSARS-CoV-2Solid Phase ExtractionThiazinesWastewateracetosulfameAndrostenedioneCholestanolHydroxyindoleacetic AcidIndicators and ReagentsNicotineRNA, ViralThiazinesWastewaterWater Pollutants, ChemicalChemical indicatorExtractionGC-MSLC-MSPopulation biomarkerWastewaterWastewater parameter

Identifiers

PMID37201600
PMCPMC10186006
OpenAlexW4376649268

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.