Evidence map›Paper›PMID 40885864›Full record

ArticleCommunications biology2025

A single-cell atlas of mouse central nervous system immune cells reveals unique infection-stage immune signatures during the progression of meningitis caused by Streptococcus suis.

Xuan Jiang, Jikun Mei, Junhui Zhu, Yanyan Tian, Tong Wu, Ziheng Li, Zengshuai Wu, Tamim Abdelaal, Fengyang Li, Na Li and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2025. 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
–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

3 citing papers in PubMed.

  1. Engulfment by brain macrophages in a short-lived vertebrate.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Review
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

11 authors.

Xuan Jiang *State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
Jikun Mei *State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
Junhui ZhuState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
Yanyan TianState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
Tong WuState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
Ziheng LiState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
Zengshuai WuState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
Tamim AbdelaalLeiden Computational Biology Center, Leiden University Medical Center, Leiden, the Netherlands.
Fengyang LiState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
Na LiState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China. vetlina2013@126.com.ORCID http://orcid.org/0009-0006-9447-6908
Liancheng LeiState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China. leiliancheng@163.com.ORCID http://orcid.org/0000-0002-5872-1842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meningitis caused by Streptococcus suis serotype 2 (SS2) in humans and pigs is an acute nervous disorder associated with serious sequelae. Bacterial meningitis is tightly associated with immune cell responses and the local immune microenvironment. However, the dynamic changes of the immune system during the disease progression in the brain remains unclear. Here, single-cell mass cytometry analyses are used to comprehensively profile the composition and phenotypes of female mouse brain immune cells at different stages of SS2 meningitis. Ten major immune cell lineages are identified among which T cells and dendritic cells significantly increased during meningitis, with B cells increasing in the late stage. Specifically, SS2

Indexed as

Central Nervous SystemMeningitis, BacterialStreptococcal InfectionsStreptococcus suisAnimalsDisease ProgressionFemaleMiceMice, Inbred C57BLSingle-Cell Analysis

Identifiers

PMID40885864
PMCPMC12398599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.