Evidence map›Paper›PMID 37264437›Full record

ArticleAnnals of clinical microbiology and antimicrobials2023

Impact of influenza virus infection on lung microbiome in adults with severe pneumonia.

Yiguo Zhou, Juan Du, Jing-Qin Wu, Quan-Rong Zhu, Ming-Zhu Xie, Lin-Yi Chen, Ya-Qiong Liu, Wei Li, Ting-Fa Zhou, Qing-Bin Lu

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. iScience · 2025
    Article
  4. Review
  5. Swine influenza-modified pulmonary microbiota.Frontiers in cellular and infection microbiology · 2025
    Article
  6. Article
  7. Article
  8. 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

10 authors at 3 institutions in 1 country.

Yiguo Zhou *Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Juan Du *Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Jing-Qin Wu *Department of Critical Care Medicine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Quan-Rong ZhuDepartment of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Ming-Zhu XieDepartment of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Lin-Yi ChenDepartment of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Ya-Qiong LiuDepartment of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China.
Wei LiDepartment of Critical Care Medicine, Lanling People's Hospital, No. 12 Tashan Road, Lanying County, Linyi, 277799, People's Republic of China. zzyxk0572@126.com.
Ting-Fa ZhouDepartment of Critical Care Medicine, Linyi People's Hospital, No. 27 Jiefang Road, Lanshan District, Linyi, 276100, People's Republic of China. zhoutingfa66@126.com.
Qing-Bin LuDepartment of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing, 100191, People's Republic of China. qingbinlu@bjmu.edu.cn.
Peking University · CNLinyi People's Hospital · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

China Mega-Project for Infectious Diseases grants 2017ZX10103004Fundamental Research Funds for the Central Universities and Peking University Health Science Center BMU2021YJ041Joint Research Fund for Beijing Natural Science Foundation and Haidian Original Innovation L202007Peking University Medicine Fund of Fostering Young Scholars' Scientific & Technological Innovation BMU2021PY005
6 · The paper itself

Abstract

backgroundBacterial and viral infections are commonly implicated in the development of pneumonia. We aimed to compare the diversity and composition of lung bacteria among severe pneumonia patients who were influenza virus positive (IFVP) and influenza virus negative (IFVN).

methodsBronchoalveolar lavage fluid specimens were procured from patients diagnosed with severe pneumonia to investigate the microbiome utilizing 16S-rDNA sequencing. The alpha diversity of the microbiome was evaluated employing Chao1, Shannon, and Simpson indexes, while the beta diversity was assessed using principal component analysis and principal coordinate analysis. Linear discriminant analysis effect size (LEfSe) was employed to determine the taxonomic differences between the IFVP and IFVN groups.

resultsA total of 84 patients with 42 in the IFVP group and 42 in the IFVN group were enrolled. Slightly higher indexes of Shannon and Simpson were observed in the IFVP group without statistically significant difference. The dominant bacterial genera were Streptococcus, Klebsiella, Escherichia-Shigella in the IFVN group and Acinetobacter, Streptococcus, Staphylococcus in the IFVP group. Streptococcus pneumoniae and Acinetobacter baumannii were the most abundant species in the IFVN and IFVP groups, respectively. LEfSe analysis indicated a greater abundance of Klebsiella in the IFVN group.

conclusionsIndividuals with severe pneumonia infected with IFV exhibit heightened susceptibility to certain bacteria, especially Acinetobacter baumannii, and the underlying mechanism of the interaction between IFV and Acinetobacter baumannii in the progression of pneumonia needs further investigation.

Indexed as

Communicable DiseasesInfluenza, HumanMicrobiotaOrthomyxoviridaePneumoniaAdultBacteriaHumansKlebsiellaLungRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S-rDNA sequencingBacteriaCase–controlInfluenza virusSevere pneumonia

Identifiers

PMID37264437
PMCPMC10234796
OpenAlexW4379094377

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.