Evidence map›Paper›PMID 36976204›Full record

ArticleMarine drugs2023

Possible Role of Docosahexaenoic Acid in Response to Diarrhetic Shellfish Toxins in the Mussel

Kuan-Kuan Yuan, Zi-Min Chen, Ya-Xin Liu, Hong-Ye Li, Wei-Dong Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Marine drugs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. 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 1 institution in 1 country.

Kuan-Kuan YuanKey Laboratory of Aquatic Eutrophication and Control of Harmful Algal Blooms of Guangdong Higher Education Institute, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-0241-9759
Zi-Min ChenKey Laboratory of Aquatic Eutrophication and Control of Harmful Algal Blooms of Guangdong Higher Education Institute, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Ya-Xin LiuKey Laboratory of Aquatic Eutrophication and Control of Harmful Algal Blooms of Guangdong Higher Education Institute, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Hong-Ye LiKey Laboratory of Aquatic Eutrophication and Control of Harmful Algal Blooms of Guangdong Higher Education Institute, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.ORCID 0000-0001-7427-0706
Wei-Dong YangKey Laboratory of Aquatic Eutrophication and Control of Harmful Algal Blooms of Guangdong Higher Education Institute, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-3002-0972
Jinan University · CN

Funding

National Natural Science Foundation of China 42076143, 41776120
6 · The paper itself

Abstract

Marine bivalves are rich in docosahexaenoic acid (DHA), a polyunsaturated fatty acid known to be beneficial for human health; however, the potential role of DHA in protecting shellfish from the toxicity of diarrhetic shellfish toxins (DSTs) remains poorly understood. Here, we aimed to study the effect of DHA on the response of the bivalve,

Indexed as

DinoflagellidaPernaAnimalsChromatography, LiquidDocosahexaenoic AcidsHumansMarine ToxinsNF-E2-Related Factor 2ShellfishTandem Mass SpectrometryDocosahexaenoic AcidsMarine ToxinsNF-E2-Related Factor 2DHAdiarrhetic shellfish toxinsesterificationhistopathologyNrf2 signaling pathwayqPCR

Identifiers

PMID36976204
PMCPMC10058962
OpenAlexW4322503024

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.