Evidence map›Paper›PMID 31916052›Full record

ArticleFish physiology and biochemistry2020

Transcriptomic analysis of juvenile Chinese sea bass (Lateolabrax maculatus) anesthetized by MS-222 (tricaine methanesulfonate) and eugenol.

Hongbiao Dong, Wenhao Wang, Yafei Duan, Hua Li, Qingsong Liu, Yongxu Sun, Jiasong Zhang

Abstract readClinical Trial, Veterinary
PubMed Publisher
In one paragraph

Article in Fish physiology and biochemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 15 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

7 authors at 3 institutions in 1 country.

Hongbiao DongFisheries Engineering Institute, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, No. 231 West Xinggang Road, Haizhu District, Guangzhou, 510300, China.
Wenhao WangCollege of Fisheries and Life Science, Shanghai Ocean University, Shanghai, China.
Yafei DuanFisheries Engineering Institute, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, No. 231 West Xinggang Road, Haizhu District, Guangzhou, 510300, China.
Hua LiFisheries Engineering Institute, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, No. 231 West Xinggang Road, Haizhu District, Guangzhou, 510300, China.
Qingsong LiuFisheries Engineering Institute, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, No. 231 West Xinggang Road, Haizhu District, Guangzhou, 510300, China.
Yongxu SunCollege of Fisheries and Life Science, Shanghai Ocean University, Shanghai, China.
Jiasong ZhangFisheries Engineering Institute, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, No. 231 West Xinggang Road, Haizhu District, Guangzhou, 510300, China. donghongbiao@163.com.
Ministry of Agriculture and Rural Affairs · CNChinese Academy of Fishery Sciences · CNShanghai Ocean University · CN

Funding

Central Public-interest Scientific Institution Basal Research Fund, South China Sea Fisheries Research Institute 2017YB15Fund of Guangzhou science and technology planning project 201904010169The Fund of Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs FREU2018-02
6 · The paper itself

Abstract

MS-222 (tricaine methanesulfonate) and eugenol are the two frequently used fish anesthetics. This study intends to analyze the regulation of these anesthetics in Chinese sea bass, Lateolabrax maculatus, through transcriptomic analysis. L. maculatus were exposed to MS-222 or eugenol, and those without any treatments were regarded as controls. Gills and livers were extracted for transcriptomic analysis after recovery in fresh water for 6 h. Identified genes were assigned to NR, COG, SWISS, GO, and KEGG database for predicting gene functions. A FDR ≤ 0.05 and |log2(FC)| ≥ 1 were applied to determined differentially expressed gene (DEG). A total of 45,626 unigenes were annotated using at least one database. The eugenol-treated liver group presented less DEGs compared with that treated by MS-222. Both the MS-222- and eugenol-treated liver groups presented notable DEGs that participated in human disease and metabolism pathways. The eugenol group showed more pathways related to detoxification activity and xenobiotics biodegradation, and those from the MS-222 group were related to organismal system such as reproduction. By comparing gill and liver samples using the same drug, the enriched pathways were generally consistent among the three comparisons. In conclusion, eugenol and MS-222 could change the pathways related to metabolism and immunity in L. maculatus. MS-222 may trigger more damages on the fish liver and reproduction.

Indexed as

AminobenzoatesAnestheticsEugenolTranscriptomeAnimalsBassGene Expression ProfilingGillsLiverAminobenzoatesAnestheticsEugenoltricaineAnestheticAquacultureDifferentially expressed genesFishTransciptome

Identifiers

PMID31916052
OpenAlexW2999059341

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.