Evidence map›Paper›PMID 32750535›Full record

ArticleWater research2020

A novel droplet digital PCR human mtDNA assay for fecal source tracking.

Kevin Zhu, Brittany Suttner, Amy Pickering, Konstantinos T Konstantinidis, Joe Brown

Open access · hybridAbstract read
In one paragraph

Article in Water research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Exploring the Pathogen Profiles of Ancient Feces.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Simultaneous detection and quantification of multiple pathogen targets in wastewater.medRxiv : the preprint server for health sciences · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Phylodynamics Uncovers the Transmission of Antibiotic-ResistantbioRxiv : the preprint server for biology · 2023
    Article
  17. PersistentEnvironmental science & technology · 2022
    Article
  18. Article
  19. Article
  20. Inferring transmission fitness advantage of SARS-CoV-2 variants of concern from wastewater samples using digital PCR, Switzerland, December 2020 through March 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    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

5 authors at 2 institutions in 1 country.

Kevin ZhuSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Brittany SuttnerSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Amy PickeringCivil and Environmental Engineering, Tufts University, Medford, MA, USA.
Konstantinos T KonstantinidisSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Joe BrownSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Electronic address: joe.brown@ce.gatech.edu.
Georgia Institute of Technology · USTufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human mitochondrial DNA provides a promising target for fecal source tracking because it is unique and intrinsic to humans. We developed a TaqMan chemistry assay, hCYTB484, targeting the cytochrome b gene of the human mitochondrial genome on a droplet digital PCR (ddPCR) platform and compared the performance of hCYTB484 with the HF183/BacR287 assay, a widely used assay targeting human-associated Bacteroides. For both assays, we defined the analytical limit of detection and analytical lower limit of quantification using frequency of detection and imprecision goals, respectively. We then established these analytical limits using empirical ddPCR data, presenting a novel approach to determining the analytical lower limit of quantification. We evaluated assay sensitivity using individual human feces from US, Bangladesh, and Mozambique and evaluated assay specificity using cow, pig, chicken, and goat samples collected from the US. To compare assay performance across a range of thresholds, we utilized receiver operating characteristic curves. The hCYTB484 marker was detected and quantifiable in 100% of the human feces from the 3 geographical distant regions whereas the HF183/BacR287 marker was detectable and quantifiable in 51% and 31% (respectively) of human feces samples. The hCYTB484 marker also was more specific (97%), having fewer detections in pig, chicken, and goat samples than the HF183/BacR287 marker (80%). The higher performance of the hCYTB484 marker in individual feces from geographically distant regions is desirable in the detection of fecal pollution from sources to which fewer individuals contribute, such as the non-sewered forms of sanitation (e.g. pit latrines and septic tanks) that serve most of Earth's population and carry the highest risk of exposure to fecal-oral pathogens.

Indexed as

DNA, MitochondrialAnimalsBacteroidesBangladeshCattleEnvironmental MonitoringFecesFemaleHumansPolymerase Chain ReactionSwineWater MicrobiologyWater PollutionDNA, MitochondrialAnalytical limit of detectionAnalytical lower limit of quantificationDigital droplet PCRFecal source trackingHuman mtDNA

Identifiers

PMID32750535
PMCPMC7495096
OpenAlexW3037325694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.