Evidence map›Paper›PMID 40702458›Full record

ArticleBMC microbiology2025

Dual RNA-seq analysis reveals the interaction between multidrug-resistant Klebsiella pneumoniae and host in a mouse model of pneumonia.

Xiaolin Song, Chengyu Sui, Meng Lv, Cuicui Jiang, Lingfei Hu, Yongqiang Jiang, Dongsheng Zhou, Wenhui Yang, Chenxi Dai

Abstract read
In one paragraph

Article in BMC microbiology, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Xiaolin SongState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Chengyu SuiState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Meng LvState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Cuicui JiangDepartment of Mathematics, College of Basic Medicine, Army Medical University, Chongqing, 400038, China.
Lingfei HuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Yongqiang JiangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Dongsheng ZhouState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Wenhui YangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China. fionyoung@163.com.
Chenxi DaiState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China. daichenxi@bmi.ac.cn.

Funding

Foundation of State Key Laboratory of Pathogen and Biosecurity of China SKLPBS2225National Natural Science Foundation of China 12301644
6 · The paper itself

Abstract

backgroundMultidrug-resistant Klebsiella pneumoniae (MDR-KP) poses a significant global health threat, associated with high morbidity and mortality rates among hospitalized patients. The interaction between MDR-KP and its host is highly complex, and few studies have investigated these interactions from both the pathogen and host perspectives. Here, we explored these interactions in a mouse model of pneumonia using dual RNA-seq analysis.

methodsPCR identification and antimicrobial susceptibility test were employed to screen for MDR-KP strains. A mouse model of pneumonia was established through aerosolized intratracheal inoculation with high-dose or low-dose bacteria. Bacterial loads, pathological changes, inflammatory cytokine expression, and immune cell infiltration were assessed post-challenge. Dual RNA-seq analysis was conducted on lung tissues following infection.

resultsNY13307 was identified as an MDR-KP strain with minimal virulence factor genes and broad-spectrum drug resistance. High-dose bacteria induced more severe pulmonary pathological changes, a significant increase in bacterial load, and notably elevated secretion of inflammatory cytokines compared to low-dose bacteria. Alveolar macrophages and resident interstitial macrophages were identified as the primary sources of these cytokines. Further RNA-seq analysis revealed that, compared to the low-dose group, the high-dose group significantly upregulated hypoxia and pro-inflammatory cytokine-related genes in the host, and siderophore-related genes in the bacteria. Correlation analysis demonstrated a significant association between siderophore-related genes and clusters of genes related to pro-inflammatory cytokines and hypoxia.

conclusionsIn this mouse model of bacterial pneumonia, excessive siderophore expression may trigger the activation of hypoxia signaling pathways and the release of pro-inflammatory cytokines, ultimately reducing survival rates.

Indexed as

Drug Resistance, Multiple, BacterialHost-Pathogen InteractionsKlebsiella InfectionsKlebsiella pneumoniaePneumonia, BacterialAnimalsAnti-Bacterial AgentsBacterial LoadCytokinesDisease Models, AnimalFemaleLungMiceMicrobial Sensitivity TestsRNA-SeqVirulence FactorsAnti-Bacterial AgentsCytokinesVirulence FactorsAerosolized intratracheal inoculationDual RNA-seq analysisHypoxiaMultidrug-resistant Klebsiella pneumoniaeSiderophores

Identifiers

PMID40702458
PMCPMC12288204

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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.