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Neonatal microbiome dysbiosis decoded by mNGS: from mechanistic insights to precision interventions.

作者信息

Huang Fangjun, Li Jiawen, Liu Dengjun, Li Yuling, Tang Jun

机构信息

Department of Neonatology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.

Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.

出版信息

Front Cell Infect Microbiol. 2025 Aug 18;15:1642072. doi: 10.3389/fcimb.2025.1642072. eCollection 2025.


DOI:10.3389/fcimb.2025.1642072
PMID:40901000
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12399635/
Abstract

The neonatal period is a critical stage for microbial colonization and immune system development, with dynamic changes in the microbiome closely linked to the pathogenesis of various diseases. Traditional microbiological testing methods have low sensitivity and time-consuming limitations compared to metagenomic next-generation sequencing (mNGS), which makes it difficult to meet the diagnostic and therapeutic needs of critically ill neonates. mNGS analyzes the total DNA in a sample without bias, allowing comprehensive identification of bacteria, viruses, fungi, and parasites, and resolution of functional genes, providing new avenues for precision diagnosis and treatment of diseases such as neonatal sepsis, necrotizing enterocolitis, neonatal pneumonia, neonatal meningitis, neonatal jaundice, and other diseases. However, challenges remain, including the need to optimize sample processing workflows and develop portable devices to enhance clinical conversion potential. In this review, we summarize the application, efficacy, and limitations of mNGS in neonatal diseases. This approach paves the way for novel avenues in mechanistic research, early diagnosis, and personalized therapy for these conditions.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d896/12399635/05c3ea0baf07/fcimb-15-1642072-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d896/12399635/e4ccc92757d1/fcimb-15-1642072-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d896/12399635/05c3ea0baf07/fcimb-15-1642072-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d896/12399635/e4ccc92757d1/fcimb-15-1642072-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d896/12399635/05c3ea0baf07/fcimb-15-1642072-g002.jpg

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Neonatal microbiome dysbiosis decoded by mNGS: from mechanistic insights to precision interventions.

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本文引用的文献

[1]
Oxygenation and intestinal perfusion and its association with perturbations of the early life gut microbiota composition of children with congenital heart disease.

Front Microbiol. 2025-1-15

[2]
[Two cases of neonatal pneumonia].

Zhongguo Dang Dai Er Ke Za Zhi. 2024

[3]
[Application of metagenomic next-generation sequencing technology in preterm infants with sepsis following antibiotic use].

Zhongguo Dang Dai Er Ke Za Zhi. 2024-5-15

[4]
High Detection Frequency of Vaccine-Associated Polioviruses and Non-Polio Enteroviruses in the Stools of Asymptomatic Infants from the Free State Province, South Africa.

Microorganisms. 2024-4-30

[5]
The application value of metagenomic next-generation sequencing technology in the diagnosis and treatment of neonatal infectious meningitis - a single center retrospective case-control study.

Neurol Res. 2024-6

[6]
Utilizing metagenomic next-generation sequencing for pathogen detection and diagnosis in lower respiratory tract infections in real-world clinical practice.

Infection. 2024-4

[7]
A fatal case of neonatal viral sepsis caused by human parainfluenza virus type 3.

Virol J. 2023-10-27

[8]
A systematic review and meta-analysis of the diagnostic accuracy of metagenomic next-generation sequencing for diagnosing tuberculous meningitis.

Front Immunol. 2023

[9]
Metagenomic sequencing of post-mortem tissue samples for the identification of pathogens associated with neonatal deaths.

Nat Commun. 2023-9-4

[10]
Differences caused by blood and secretion samples for the detection of Klebsiella pneumoniae using metagenomic next-generation sequencing: A comparative analysis.

J Infect. 2023-11

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