Evidence map›Paper›PMID 25405975›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014

Leveraging existing data for prioritization of the ecological risks of human and veterinary pharmaceuticals to aquatic organisms.

Carlie A LaLone, Jason P Berninger, Daniel L Villeneuve, Gerald T Ankley

Open access · bronzeAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-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

13 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Comparison of Prioritisation Schemes for Human Pharmaceuticals in the Aquatic Environment.Environmental science and pollution research international · 2019
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Medicating the environment: assessing risks of pharmaceuticals to wildlife and ecosystems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Article
  12. Medicines, shaken and stirred: a critical review on the ecotoxicology of pharmaceutical mixtures.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Review
  13. Comparative metabolism as a key driver of wildlife species sensitivity to human and veterinary pharmaceuticals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    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

4 authors at 3 institutions in 1 country.

Carlie A LaLoneWater Resources Center, College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, 1985 Buford Avenue, St Paul, MN 55108, USA Office of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, US Environmental Protection Agency, 6201 Congdon Boulevard, Duluth, MN 55804, USA lalone.carlie@epa.gov.
Jason P BerningerNational Research Council, 6201 Congdon Boulevard, Duluth, MN 55804, USA.
Daniel L VilleneuveOffice of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, US Environmental Protection Agency, 6201 Congdon Boulevard, Duluth, MN 55804, USA.
Gerald T AnkleyOffice of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, US Environmental Protection Agency, 6201 Congdon Boulevard, Duluth, MN 55804, USA.
Environmental Protection Agency · USNational Academies of Sciences, Engineering, and Medicine · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal innovation has led to the discovery and use of thousands of human and veterinary drugs. With this comes the potential for unintended effects on non-target organisms exposed to pharmaceuticals inevitably entering the environment. The impracticality of generating whole-organism chronic toxicity data representative of all species in the environment has necessitated prioritization of drugs for focused empirical testing as well as field monitoring. Current prioritization strategies typically emphasize likelihood for exposure (i.e. predicted/measured environmental concentrations), while incorporating only rather limited consideration of potential effects of the drug to non-target organisms. However, substantial mammalian pharmacokinetic and mechanism/mode of action (MOA) data are produced during drug development to understand drug target specificity and efficacy for intended consumers. An integrated prioritization strategy for assessing risks of human and veterinary drugs would leverage available pharmacokinetic and toxicokinetic data for evaluation of the potential for adverse effects to non-target organisms. In this reiview, we demonstrate the utility of read-across approaches to leverage mammalian absorption, distribution, metabolism and elimination data; analyse cross-species molecular target conservation and translate therapeutic MOA to an adverse outcome pathway(s) relevant to aquatic organisms as a means to inform prioritization of drugs for focused toxicity testing and environmental monitoring.

Indexed as

AnimalsAquatic OrganismsHumansPharmaceutical PreparationsRisk FactorsSpecies SpecificityWater Pollutants, ChemicalPharmaceutical PreparationsWater Pollutants, Chemicaladverse outcome pathwaymolecular target conservationpharmacokineticsread-acrossSeqAPASS

Identifiers

PMID25405975
PMCPMC4213598
OpenAlexW2026690875

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.