Evidence map›Paper›PMID 26417538›Full record

ArticlePeerJ2015

Novel epitopes identified from efflux pumps of Mycobacterium tuberculosis could induce cytotoxic T lymphocyte response.

Ming-Xia Zhai, Fei Chen, Yuan-Yuan Zhao, Ya-Hong Wu, Guo-Dong Li, Yan-Feng Gao, Yuan-Ming Qi

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2015. 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
0.6field-weighted citation impact, top 31% 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, 6 citations in OpenAlex.

  1. Article
  2. T CELL EPITOPES OF THEAfrican journal of infectious diseases · 2018
    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.

Ming-Xia ZhaiSchool of Life Sciences, Zhengzhou University , Zhengzhou , China.
Fei ChenSchool of Life Sciences, Zhengzhou University , Zhengzhou , China.
Yuan-Yuan ZhaoSchool of Life Sciences, Zhengzhou University , Zhengzhou , China.
Ya-Hong WuSchool of Life Sciences, Zhengzhou University , Zhengzhou , China.
Guo-Dong LiSchool of Life Sciences, Zhengzhou University , Zhengzhou , China.
Yan-Feng GaoSchool of Life Sciences, Zhengzhou University , Zhengzhou , China.
Yuan-Ming QiSchool of Life Sciences, Zhengzhou University , Zhengzhou , China.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overcoming drug-resistance is one of the major challenges to control tuberculosis (TB). The up-regulation of efflux pumps is one common mechanism that leads to drug-resistance. Therefore, immunotherapy targeting these efflux pump antigens could be promising strategy to be combined with current chemotherapy. Considering that CD8+ cytotoxic T lymphocytes (CTLs) induced by antigenic peptides (epitopes) could elicit HLA-restricted anti-TB immune response, efflux pumps from classical ABC family (Mycobacterium tuberculosis, Mtb) were chosen as target antigens to identify CTL epitopes. HLA-A2 restricted candidate peptides from Rv2937, Rv2686c and Rv2687c of Mycobacterium tuberculosis were predicted, synthesized and tested. Five peptides could induce IFN-γ release and cytotoxic activity in PBMCs from HLA-A2(+) PPD(+) donors. Results from HLA-A2/K(b) transgenic mice immunization assay suggested that four peptides Rv2937-p168, Rv2937-p266, Rv2686c-p151, and Rv2686c-p181 could induce significant CTL response in vivo. These results suggested that these novel epitopes could be used as immunotherapy candidates to TB drug-resistance.

Indexed as

Cytotoxic T lymphocytesEfflux pumpEpitopeImmunotherapyMycobacterium tuberculosis

Identifiers

PMID26417538
PMCPMC4582945
OpenAlexW2236395170

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.