Evidence map›Paper›PMID 41459157›Full record

ArticleFrontiers in cellular and infection microbiology2025

Characteristics of CD103

Xingfei Pan, Feihu Shi, Shanni Tang, Meilin Liu, Li Pan, Guikuan Liang, Lu Li, Hongyan Xie, Shan Zhao, Jun Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Xingfei PanDepartment of Infectious Diseases, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Feihu ShiDepartment of Infectious Diseases, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Shanni TangDepartment of Infectious Diseases, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Meilin LiuDepartment of Infectious Diseases, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Li PanKey Lab of Immunology, Sino-French Hoffmann Institute, Guangzhou Medical University, Guangzhou, China.
Guikuan LiangKey Lab of Immunology, Sino-French Hoffmann Institute, Guangzhou Medical University, Guangzhou, China.
Lu LiKey Lab of Immunology, Sino-French Hoffmann Institute, Guangzhou Medical University, Guangzhou, China.
Hongyan XieKey Lab of Immunology, Sino-French Hoffmann Institute, Guangzhou Medical University, Guangzhou, China.
Shan ZhaoKey Lab of Immunology, Sino-French Hoffmann Institute, Guangzhou Medical University, Guangzhou, China.
Jun HuangDepartment of Infectious Diseases, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: CD8 Methods: In this study, a Results: Here, we identified a substantial subset of CD103 Conclusions: Collectively, our findings demonstrate that splenic CD103

Indexed as

Antigens, CDCD8-Positive T-LymphocytesIntegrin alpha ChainsMalariaPlasmodium yoeliiSpleenAnimalsDisease Models, AnimalFemaleLymphocyte ActivationMiceMice, Inbred C57BLalpha E integrinsAntigens, CDIntegrin alpha ChainsCD103CD8 T cellsLEF1Plasmodium yoeliispleen

Identifiers

PMID41459157
PMCPMC12738814

What OpenQuestion holds

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Registered trials

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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.