Evidence map›Paper›PMID 35866020›Full record

ArticleEcology and evolution2022

Methodological confounds of measuring urinary oxidative stress in wild animals.

Zoe E Melvin, Hussein Dhirani, Christopher Mitchell, Tim R B Davenport, Jonathan D Blount, Alexander V Georgiev

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Zoe E MelvinSchool of Natural Sciences, Bangor University Bangor UK.ORCID https://orcid.org/0000-0003-0661-9317
Hussein DhiraniZanzibar Red Colobus Project Bangor University Bangor UK.
Christopher MitchellCentre for Ecology & Conservation, College of Life & Environmental Sciences University of Exeter, Penryn Campus Penryn UK.
Tim R B DavenportReWild Arusha Tanzania.
Jonathan D BlountCentre for Ecology & Conservation, College of Life & Environmental Sciences University of Exeter, Penryn Campus Penryn UK.
Alexander V GeorgievSchool of Natural Sciences, Bangor University Bangor UK.ORCID https://orcid.org/0000-0001-5622-3826
Bangor University · GBUniversity of Exeter · GBUniversity of Arusha · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers of oxidative stress (OS) are useful in addressing a wide range of research questions, but thus far, they have had limited application to wild mammal populations due to a reliance on blood or tissue sampling. A shift toward non-invasive measurement of OS would allow field ecologists and conservationists to apply this method more readily. However, the impact of methodological confounds on urinary OS measurement under field conditions has never been explicitly investigated. We combined a cross-sectional analysis with a field experiment to assess the impact of four potential methodological confounds on OS measurements: (1) time of sampling, (2) environmental contamination from foliage; (3) delay between sample collection and flash-freezing in liquid nitrogen; and (4) sample storage of up to 15 months below -80°C. We measured DNA oxidative damage (8-hydroxy-2'-deoxyguanosine, 8-OHdG), lipid peroxidation (malondialdehyde, MDA), total antioxidant capacity (TAC), and uric acid (UA) in 167 urine samples collected from wild Zanzibar red colobus (

Indexed as

8‐oxodGDNA damageecophysiologylipid peroxidationnon‐invasive samplingoxidative stressZanzibar red colobus

Identifiers

PMID35866020
PMCPMC9288928
OpenAlexW4285735866

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.