Evidence map›Paper›PMID 35369515›Full record

ArticleFrontiers in microbiology2022

Exploring the Change of Host and Microorganism in Chronic Obstructive Pulmonary Disease Patients Based on Metagenomic and Metatranscriptomic Sequencing.

Jing Yang, Qiang Zhang, Jun Zhang, Yan Ouyang, Zepeng Sun, Xinlong Liu, Feng Qaio, Li-Qun Xu, Yunfei Niu, Jian Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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 5 institutions in 1 country.

Jing YangThe Key Laboratory of Developmental Genes and Human Disease, School of Life Sciences and Technology, Southeast University, Nanjing, China.
Qiang ZhangDepartment of Respirology, Zhongda Hospital, Southeast University, Nanjing, China.
Jun ZhangDepartment of Respirology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yan OuyangVision Medicals, Guangzhou, China.
Zepeng SunChina Mobile (Chengdu) Industrial Research Institute, Chengdu, China.
Xinlong LiuChina Mobile (Chengdu) Industrial Research Institute, Chengdu, China.
Feng QaioChina Mobile (Chengdu) Industrial Research Institute, Chengdu, China.
Li-Qun XuChina Mobile (Chengdu) Industrial Research Institute, Chengdu, China.
Yunfei NiuVision Medicals, Guangzhou, China.
Jian LiThe Key Laboratory of Developmental Genes and Human Disease, School of Life Sciences and Technology, Southeast University, Nanjing, China.
China Mobile (China) · CNSoutheast University · CNVision Medicals (China) · CNSecond Affiliated Hospital of Nanjing Medical University · CNZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is a universal respiratory disease resulting from the complex interactions between genes and environmental conditions. The process of COPD is deteriorated by repeated episodes of exacerbations, which are the primary reason for COPD-related morbidity and mortality. Bacterial pathogens are commonly identified in patients' respiratory tracts both in the stable state and during acute exacerbations, with significant changes in the prevalence of airway bacteria occurring during acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Therefore, the changes in microbial composition and host inflammatory responses will be necessary to investigate the mechanistic link between the airway microbiome and chronic pulmonary inflammation in COPD patients. Methods: We performed metatranscriptomic and metagenomic sequencing on sputum samples for twelve AECOPD patients before treatment and for four of them stable COPD (stabilization of AECOPD patients after treatment). Sequencing reads were classified by Kraken2, and the host gene expression was analyzed by Hisat2 and HTseq. The correlation between genes was obtained by the Spearman correlation coefficient. Mann-Whitney Results: At the phyla level, the top 5 dominant phyla were Conclusion: Our study may provide a clue to investigate the mechanism of COPD and potential biomarkers in clinical diagnosis and treatment.

Indexed as

COPDimmunemacrophagemetagenomemetatranscriptome

Identifiers

PMID35369515
PMCPMC8966909
OpenAlexW4220864029

What OpenQuestion holds

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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.