Evidence map›Paper›PMID 34842270›Full record

ArticleBiology open2021

A new method to localise and quantify oxidative stress in live juvenile mussels.

Natalí J Delorme, Alfonso J Schmidt, Leonardo N Zamora, David J Burritt, Norman L C Ragg

Open access · goldAbstract read
In one paragraph

Article in Biology open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Natalí J DelormeAquaculture Group, Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand.ORCID 0000-0001-6105-3323
Alfonso J SchmidtHugh Green Cytometry Centre, Malaghan Institute of Medical Research, PO Box 7060, Wellington 6242, New Zealand.
Leonardo N ZamoraAquaculture Group, Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand.ORCID 0000-0002-2909-785X
David J BurrittBotany Department, University of Otago, PO Box 56, Dunedin 9054, New Zealand.
Norman L C RaggAquaculture Group, Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
Cawthron Institute · NZMalaghan Institute of Medical Research · NZUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stress and survival of the juvenile New Zealand green-lipped mussel, Perna canaliculus, is a poorly understood bottleneck in the ecological and economic performance of a significant aquaculture crop. This species was therefore selected as a model organism for the development of a new method to quantify oxidative stress in whole individuals. An in vivo ROS-activated stain (CellROX™) was administered to anaesthetised, translucent juveniles that were subsequently formaldehyde fixed and then visualised using confocal microscopy. Subsequent application of image analysis to quantifying ROS-positive tissue areas was successfully used to detect stress differences in juvenile mussels exposed to varying levels of emersion. This integrated method can be used to localise and quantify ROS production in individual translucent bivalve life stages (larval and juvenile), while relative stability following fixation greatly expands potential practical field applications. This article has an associated First Person interview with the first and third authors of the paper.

Indexed as

PernaAnimalsHumansOxidative StressAquacultureEmersion stressFluorescent stainingGreenshell™ musselReactive oxygen speciesSpat

Identifiers

PMID34842270
PMCPMC8689488
OpenAlexW3216404359

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.