Metagenomic next-generation sequencing for rapid detection of pulmonary infection in patients with acquired immunodeficiency syndrome.


Journal

Annals of clinical microbiology and antimicrobials
ISSN: 1476-0711
Titre abrégé: Ann Clin Microbiol Antimicrob
Pays: England
ID NLM: 101152152

Informations de publication

Date de publication:
10 Jul 2023
Historique:
received: 22 03 2023
accepted: 05 07 2023
medline: 12 7 2023
pubmed: 11 7 2023
entrez: 10 7 2023
Statut: epublish

Résumé

Acquired immunodeficiency syndrome (AIDS) is associated with a high rate of pulmonary infections (bacteria, fungi, and viruses). To overcome the low sensitivity and long turnaround time of traditional laboratory-based diagnostic strategies, we adopted metagenomic next-generation sequencing (mNGS) technology to identify and classify pathogens. This study enrolled 75 patients with AIDS and suspected pulmonary infections who were admitted to Nanning Fourth People's Hospital. Specimens were collected for traditional microbiological testing and mNGS-based diagnosis. The diagnostic yields of the two methods were compared to evaluate the diagnostic value (detection rate and turn around time) of mNGS for infections with unknown causative agent. Accordingly, 22 cases (29.3%) had a positive culture and 70 (93.3%) had positive valve mNGS results (P value < 0.0001, Chi-square test). Meanwhile, 15 patients with AIDS showed concordant results between the culture and mNGS, whereas only one 1 patient showed concordant results between Giemsa-stained smear screening and mNGS. In addition, mNGS identified multiple microbial infections (at least three pathogens) in almost 60.0% of patients with AIDS. More importantly, mNGS was able to detect a large variety of pathogens from patient tissue displaying potential infection and colonization, while culture results remained negative. There were 18 members of pathogens which were consistently detected in patients with and without AIDS. In conclusion, mNGS analysis provides fast and precise pathogen detection and identification, contributing substantially to the accurate diagnosis, real-time monitoring, and treatment appropriateness of pulmonary infection in patients with AIDS.

Sections du résumé

BACKGROUND BACKGROUND
Acquired immunodeficiency syndrome (AIDS) is associated with a high rate of pulmonary infections (bacteria, fungi, and viruses). To overcome the low sensitivity and long turnaround time of traditional laboratory-based diagnostic strategies, we adopted metagenomic next-generation sequencing (mNGS) technology to identify and classify pathogens.
RESULTS RESULTS
This study enrolled 75 patients with AIDS and suspected pulmonary infections who were admitted to Nanning Fourth People's Hospital. Specimens were collected for traditional microbiological testing and mNGS-based diagnosis. The diagnostic yields of the two methods were compared to evaluate the diagnostic value (detection rate and turn around time) of mNGS for infections with unknown causative agent. Accordingly, 22 cases (29.3%) had a positive culture and 70 (93.3%) had positive valve mNGS results (P value < 0.0001, Chi-square test). Meanwhile, 15 patients with AIDS showed concordant results between the culture and mNGS, whereas only one 1 patient showed concordant results between Giemsa-stained smear screening and mNGS. In addition, mNGS identified multiple microbial infections (at least three pathogens) in almost 60.0% of patients with AIDS. More importantly, mNGS was able to detect a large variety of pathogens from patient tissue displaying potential infection and colonization, while culture results remained negative. There were 18 members of pathogens which were consistently detected in patients with and without AIDS.
CONCLUSIONS CONCLUSIONS
In conclusion, mNGS analysis provides fast and precise pathogen detection and identification, contributing substantially to the accurate diagnosis, real-time monitoring, and treatment appropriateness of pulmonary infection in patients with AIDS.

Identifiants

pubmed: 37430367
doi: 10.1186/s12941-023-00608-9
pii: 10.1186/s12941-023-00608-9
pmc: PMC10334547
doi:

Substances chimiques

Azure Stains 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

57

Subventions

Organisme : the Science and Technology Planning Project of Nanning City
ID : 20203052
Organisme : the Youth Science and Technology Talents Cultivation Project of Nanning
ID : RC20180103

Informations de copyright

© 2023. The Author(s).

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Auteurs

Juan Zhong (J)

Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China. syzj0059@126.com.

Yanfen Liu (Y)

The Fourth People's Hospital of Nanning, Nanning, China.

Na Luo (N)

NanNing Center for Disease Control and Prevention, Nanning, China.

Qiu Wei (Q)

Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China.

Qisi Su (Q)

The Fourth People's Hospital of Nanning, Nanning, China.

Jun Zou (J)

The Fourth People's Hospital of Nanning, Nanning, China.

Xiaozhong Wu (X)

Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China.

Xianzhen Huang (X)

The Fourth People's Hospital of Nanning, Nanning, China.

Yuting Jiang (Y)

Department of Traditional Chinese Medicine, The First People's Hospital of Nanning, Nanning, China.

Lijuan Liang (L)

Nanning Yunju Biotechnology Co., Ltd, Nanning, China.

Hongmian Li (H)

The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China. 18022081568@163.com.

Jianyan Lin (J)

The First People's Hospital of Nanning, Nanning, China. linjianyan@126.com.

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