Evidence map›Paper›PMID 40075077›Full record

ArticleNature communications2025

Low leucine levels in the blood enhance the pathogenicity of neonatal meningitis-causing Escherichia coli.

Hao Sun, Xiaoya Li, Xinyuan Yang, Jingliang Qin, Yutao Liu, Yangyang Zheng, Qian Wang, Ruiying Liu, Hongmin Sun, Xintong Chen and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. A digital twin forJournal of medical microbiology · 2026
    Article
  3. Research Progress on perinatalFrontiers in microbiology · 2026
    Review
  4. 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

16 authors.

Hao Sun *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Xiaoya Li *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Xinyuan YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Jingliang QinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Yutao LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Yangyang ZhengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Qian WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Ruiying LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Hongmin SunNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Xintong ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Qiyue ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Tianyuan JiaShenzhen National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.
Xiaoxue WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.
Lu FengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China.ORCID http://orcid.org/0000-0002-9459-0907
Lei WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China. wanglei@nankai.edu.cn.ORCID http://orcid.org/0000-0003-4427-0881
Bin LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, 300457, China. liubin1981@nankai.edu.cn.ORCID http://orcid.org/0000-0002-1896-6941

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32070130National Natural Science Foundation of China (National Science Foundation of China) 32070133National Natural Science Foundation of China (National Science Foundation of China) 32130003National Natural Science Foundation of China (National Science Foundation of China) 32370194National Natural Science Foundation of China (National Science Foundation of China) 32470111National Natural Science Foundation of China (National Science Foundation of China) 82372267National Natural Science Foundation of China (National Science Foundation of China) 82402643
6 · The paper itself

Abstract

Neonatal bacterial meningitis is associated with substantial mortality and morbidity worldwide. Neonatal meningitis-causing Escherichia coli (NMEC) is the most common gram-negative bacteria responsible for this disease. However, the interactions of NMEC with its environment within the host are poorly understood. Here, we showed that a low level of leucine, a niche-specific signal in the blood, promotes NMEC pathogenicity by enhancing bacterial survival and replication in the blood. A low leucine level downregulates the expression of NsrP, a small RNA (sRNA) identified in this study, in NMEC in an Lrp-dependent manner. NsrP destabilizes the mRNA of the purine biosynthesis-related gene purD by direct base pairing. Decreased NsrP expression in response to low leucine levels in the blood, which is a purine-limiting environment, activates the bacterial de novo purine biosynthesis pathway, thereby enhancing bacterial pathogenicity in the host. Deletion of NsrP or purD significantly increases or decreases the development of E. coli bacteremia and meningitis in animal models, respectively. Furthermore, we showed that intravenous administration of leucine effectively reduces the development of bacteremia and meningitis caused by NMEC by blocking the Lrp-NsrP-PurD signal transduction pathway. This study provides a potential strategy for the prevention and treatment of E. coli-induced meningitis.

Indexed as

Escherichia coliEscherichia coli InfectionsLeucineMeningitis, Escherichia coliAnimalsBacteremiaEscherichia coli ProteinsFemaleGene Expression Regulation, BacterialHumansInfant, NewbornMicePurinesSignal TransductionVirulenceEscherichia coli ProteinsLeucinePurines

Identifiers

PMID40075077
PMCPMC11904087

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.