Evidence map›Paper›PMID 29530126›Full record

ReviewZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2018

[Advances in application of Jurkat cell model in research on infectious diseases].

Jing-Lun Chen, Guang-Min Nong

Open access · greenAbstract readReview
In one paragraph

Review in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 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
0.1field-weighted citation impact, top 51% 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, 10 citations in OpenAlex.

  1. The TPx Protein ofCells · 2026
    Article
  2. The TPx protein ofFrontiers in immunology · 2026
    Article
  3. Article
  4. Foods (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Evaluation ofIranian journal of biotechnology · 2021
    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

2 authors at 1 institution in 1 country.

Jing-Lun ChenDepartment of Pediatrics, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China. chankinglun@foxmail.com.
Guang-Min Nong
First Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases can be caused by multiple pathogens, which can produce specific immune response in human body. The immune response produced by T cells is cellular immunity, which plays an important role in the anti-infection process of human body, and can participate in immunological protection and cause immunopathology. The outcome of various infectious diseases is closely related to cellular immune function, especially the function of T cells. Jurkat cells belong to the human acute T lymphocyte leukemia cell line. Jurkat cell model can simulate the function T lymphocytes, so it is widely used in the in vitro studies of T cell signal transduction, cytokines, and receptor expression, and can provide reference and guidance for the treatment of various infectious diseases and the research on their pathogenesis. The Jurkat cell model has been widely used in the in vitro studies of viral diseases and atypical pathogens, but parasitic infection studies using the Jurkat cell model are still rare. This article reviews advances in the application of Jurkat cell model in the research on infectious diseases.

Indexed as

Communicable DiseasesDeltaretrovirus InfectionsEnterovirus A, HumanEnterovirus InfectionsEpstein-Barr Virus InfectionsHIV InfectionsHumansJurkat CellsT-Lymphocytes

Identifiers

PMID29530126
PMCPMC7389782
OpenAlexW2975701786

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.