Evidence map›Paper›PMID 29986890›Full record

ArticleInfection and immunity2018

Edwardsiella piscicida Type III Secretion System Effector EseK Inhibits Mitogen-Activated Protein Kinase Phosphorylation and Promotes Bacterial Colonization in Zebrafish Larvae.

Huifang Cao, Fajun Han, Jinchao Tan, Mingyu Hou, Yuanxing Zhang, Dahai Yang, Qin Liu

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. ThemSphere · 2025
    Article
  3. Article
  4. In vitroMicroorganisms · 2020
    Article
  5. Review
  6. Virulence · 2019
    Review
  7. Article
  8. 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

7 authors at 1 institution in 1 country.

Huifang CaoState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Fajun HanState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Jinchao TanState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Mingyu HouState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Yuanxing ZhangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Dahai YangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China dahaiyang@ecust.edu.cn qinliu@ecust.edu.cn.
Qin LiuState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China dahaiyang@ecust.edu.cn qinliu@ecust.edu.cn.
East China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria utilize type III secretion systems (T3SS) to deliver effectors directly into host cells. Hence, it is very important to identify the functions of bacterial (T3SS) effectors to understand host-pathogen interactions.

Indexed as

AnimalsEdwardsiellaEnterobacteriaceae InfectionsHeLa CellsHost-Pathogen InteractionsHumansLarvaMitogen-Activated Protein KinasesMutationPhosphorylationSignal TransductionTumor Necrosis Factor-alphaType III Secretion SystemsZebrafishMitogen-Activated Protein KinasesTumor Necrosis Factor-alphaType III Secretion SystemsEdwardsiella piscicidaMAPKsT3SS effectorzebrafish larvae

Identifiers

PMID29986890
PMCPMC6105885
OpenAlexW2812560963

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.