Evidence map›Paper›PMID 38012553›Full record

ArticleBMC immunology2023

Activation dynamics of antigen presenting cells in vivo against Mycobacterium bovis BCG in different immunized route.

Zhengzhong Xu, Xin Li, Aihong Xia, Zhifang Zhang, Jiaxu Wan, Yan Gao, Chuang Meng, Xiang Chen, Xin-An Jiao

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Guardians within: Cross-talk between the gut microbiome and host immune system.World journal of gastrointestinal pathophysiology · 2025
    Review
  3. 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

9 authors at 2 institutions in 1 country.

Zhengzhong Xu *Jiangsu Key Laboratory of Zoonosis/Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, No. 48 Wenhui East Road, Yangzhou, Jiangsu, 225009, China.
Xin Li *Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou, 225009, China.
Aihong XiaJiangsu Key Laboratory of Zoonosis/Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, No. 48 Wenhui East Road, Yangzhou, Jiangsu, 225009, China.
Zhifang ZhangJiangsu Key Laboratory of Zoonosis/Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, No. 48 Wenhui East Road, Yangzhou, Jiangsu, 225009, China.
Jiaxu WanKey Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou, 225009, China.
Yan GaoKey Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou, 225009, China.
Chuang MengJiangsu Key Laboratory of Zoonosis/Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, No. 48 Wenhui East Road, Yangzhou, Jiangsu, 225009, China.
Xiang ChenJiangsu Key Laboratory of Zoonosis/Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, No. 48 Wenhui East Road, Yangzhou, Jiangsu, 225009, China. chenxiang@yzu.edu.cn.
Xin-An JiaoJiangsu Key Laboratory of Zoonosis/Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, No. 48 Wenhui East Road, Yangzhou, Jiangsu, 225009, China. jiao@yzu.edu.cn.
Yangzhou University · CNMinistry of Agriculture and Rural Affairs · CN

Funding

the Jiangsu Agriculture Science and Technology Innovation Fund CX(21)1004the National Key Research and Development Program of China 2021YFD1800403the Natural Science Foundation of Jiangsu Province BK20201432
6 · The paper itself

Abstract

backgroundControl of Tuberculosis (TB) infection is mainly the result of productive teamwork between T-cell populations and antigen presenting cells (APCs). However, APCs activation at the site of initiating cellular immune response during BCG early infection is not completely understood.

methodsIn this study, we injected C57BL/6 mice in intravenous (i.v) or subcutaneous (s.c) route, then splenic or inguinal lymph node (LN) DCs and MΦs were sorted, and mycobacteria uptake, cytokine production, antigen presentation activity, and cell phenotype were investigated and compared, respectively.

resultsAg85A-specific T-cell immune response began at 6 days post BCG infection, when BCG was delivered in s.c route, Th17 immune response could be induced in inguinal LN. BCG could induce high level of activation phenotype in inguinal LN MΦs, while the MHC II presentation of mycobacteria-derived peptides by DCs was more efficient than MΦs.

conclusionsThe results showed that BCG immunized route can decide the main tissue of T-cell immune response. Compared with s.c injected route, APCs undergo more rapid cell activation in spleen post BCG i.v infection.

Indexed as

Mycobacterium bovisTuberculosisAnimalsAntigen-Presenting CellsBCG VaccineMiceMice, Inbred C57BLT-LymphocytesBCG VaccineAntigen presentationCytokinesLymph nodeMacrophageM. Bovis BCG

Identifiers

PMID38012553
PMCPMC10683112
OpenAlexW4389043113

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.