Evidence map›Paper›PMID 25405970›Full record

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

Comparative metabolism as a key driver of wildlife species sensitivity to human and veterinary pharmaceuticals.

Thomas H Hutchinson, Judith C Madden, Vinny Naidoo, Colin H Walker

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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Frontiers in toxicology · 2022
    Article
  10. Response of Two Crop Plants,International journal of molecular sciences · 2021
    Article
  11. Article
  12. Article
  13. The Role of Omics in the Application of Adverse Outcome Pathways for Chemical Risk Assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2017
    Review
  14. Review
  15. Article
  16. 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
  17. Leveraging existing data for prioritization of the ecological risks of human and veterinary pharmaceuticals to aquatic organisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Review
  18. 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
  19. 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

4 authors at 3 institutions in 2 countries.

Thomas H HutchinsonSchool of Biological Sciences, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK tom.hutchinson@plymouth.ac.uk.
Judith C MaddenSchool of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, UK.
Vinny NaidooDepartmental of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort, Gauteng 0110, South Africa.
Colin H WalkerCissbury, Hillhead, Colyton EX24 6NJ, UK.
Liverpool John Moores University · GBUniversity of Plymouth · GBUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human and veterinary drug development addresses absorption, distribution, metabolism, elimination and toxicology (ADMET) of the Active Pharmaceutical Ingredient (API) in the target species. Metabolism is an important factor in controlling circulating plasma and target tissue API concentrations and in generating metabolites which are more easily eliminated in bile, faeces and urine. The essential purpose of xenobiotic metabolism is to convert lipid-soluble, non-polar and non-excretable chemicals into water soluble, polar molecules that are readily excreted. Xenobiotic metabolism is classified into Phase I enzymatic reactions (which add or expose reactive functional groups on xenobiotic molecules), Phase II reactions (resulting in xenobiotic conjugation with large water-soluble, polar molecules) and Phase III cellular efflux transport processes. The human-fish plasma model provides a useful approach to understanding the pharmacokinetics of APIs (e.g. diclofenac, ibuprofen and propranolol) in freshwater fish, where gill and liver metabolism of APIs have been shown to be of importance. By contrast, wildlife species with low metabolic competency may exhibit zero-order metabolic (pharmacokinetic) profiles and thus high API toxicity, as in the case of diclofenac and the dramatic decline of vulture populations across the Indian subcontinent. A similar threat looms for African Cape Griffon vultures exposed to ketoprofen and meloxicam, recent studies indicating toxicity relates to zero-order metabolism (suggesting P450 Phase I enzyme system or Phase II glucuronidation deficiencies). While all aspects of ADMET are important in toxicity evaluations, these observations demonstrate the importance of methods for predicting API comparative metabolism as a central part of environmental risk assessment.

Indexed as

AnimalsAnimals, WildEnvironmental PollutantsHumansSpecies SpecificityVeterinary DrugsEnvironmental PollutantsVeterinary Drugsbirdsenvironmentexposurefishinvertebratesmedicines

Identifiers

PMID25405970
PMCPMC4213593
OpenAlexW2083579071

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.