Evidence map›Paper›PMID 32671610›Full record

ArticleFish physiology and biochemistry2020

Effects of two kinds of fishery drugs on the expressions of GAD and GABA-T mRNA in crucian carp (Carassius auratus gibelio).

Fan Zhang, Kun Hu, Jianzhen Huang, Zhi Tan, Jiming Ruan

Open access · hybridAbstract readRandomized Controlled Trial, Veterinary
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Fan ZhangDepartment of Aquaculture, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, China.
Kun HuNational Center for Aquatic Pathogen Collection, College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, China.
Jianzhen HuangDepartment of Aquaculture, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, China.
Zhi TanDepartment of Aquaculture, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, China.
Jiming RuanDepartment of Aquaculture, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, China. rjm903@163.com.ORCID http://orcid.org/0000-0002-2387-1525
Jiangxi Agricultural University · CNShanghai Ocean University · CN

Funding

National Natural Science Foundation of China No. 31860735the Science and Technology Support Project of JiangXi Province No. 20151BBF60056
6 · The paper itself

Abstract

The objective of this study was to investigate the effects of difloxacin (DIF) and avermectin (AVM) on glutamate decarboxylase (GAD) and GABA-transaminase (GABA-T) in different tissues of crucian carp (Carassius auratus gibelio). After the treatments of DIF and AVM, the mRNA expressions of GAD and GABA-T in different tissues were detected by quantitative real-time PCR (qPCR). The results showed that the mRNA expressions of GAD

Indexed as

4-Aminobutyrate TransaminaseAnimalsAnti-Bacterial AgentsAntiprotozoal AgentsBrainCarpsCiprofloxacinFisheriesGlutamate DecarboxylaseIvermectinKidneyLiverMusclesRNA, Messenger4-Aminobutyrate TransaminaseAnti-Bacterial AgentsAntiprotozoal AgentsavermectinCiprofloxacindifloxacinGlutamate DecarboxylaseIvermectinRNA, MessengerAvermectinDifloxacinGABA-transaminaseGamma-aminobutyric acidGlutamate decarboxylase

Identifiers

PMID32671610
PMCPMC7584538
OpenAlexW3043066414

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.