Evidence map›Paper›PMID 25403149›Full record

ArticleBMC pulmonary medicine2014

Analysis of the bacterial community in chronic obstructive pulmonary disease sputum samples by denaturing gradient gel electrophoresis and real-time PCR.

Dachang Wu, Chenxia Hou, Yanxia Li, Zinan Zhao, Jianjun Liu, Xin Lu, Xueqi Shang, Yi Xin

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Article
  3. Article
  4. Lung and Gut Microbiome in COPD.Journal of personalized medicine · 2023
    Review
  5. Metabolomics of Respiratory Diseases.Handbook of experimental pharmacology · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. How human microbiome talks to health and disease.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Review
  12. Article
  13. Article
  14. Role of microbiota on lung homeostasis and diseases.Science China. Life sciences · 2017
    Review
  15. Review
  16. Article
  17. Article
  18. The Microbiome and the Respiratory Tract.Annual review of physiology · 2016
    Review
  19. Review
  20. 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

8 authors.

Dachang Wu
Chenxia Hou
Yanxia Li
Zinan Zhao
Jianjun Liu
Xin Lu
Xueqi Shang
Yi XinBiotechnology Department, Dalian Medical University, 9 Western Section, Lvshun South Street, Dalian, P,R, China. jimxin0295@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Initiative defines COPD for chronic obstructive lung disease as an entirely preventable and treatable disease characterized by sputum production, bacterial colonisation, neutrophilic bronchial airway inflammation and poor health status. The World Health Organization (WHO) estimates that COPD will become the fourth-most common cause of death worldwide, just behind ischemic heart disease, cerebrovascular disease and HIV/AIDS, by 2030. The aim of this study was to determine the main structure feature of sputum potentially pathogenic microorganisms in subjects with COPD during the clinical stable state.

methodsWe employed a molecular genetics-based investigation of the bacteria community, including DNA isolation, PCR amplification and DGGE profiling. PCR-denaturing gradient gel electrophoresis (DGGE) with universal primers targeting the V3 region of the 16S rRNA gene was employed to characterize the overall COPD patient sputum microbiota composition, and some excised gel bands were cloned for sequencing. Real-time PCR was further utilized to quantitatively analyze the subpopulation of microbiota using group-specific primers targeting Streptococcus pneumoniae, Klebsiella pneumoniae, Pseudomonas aeruginosa.

resultsThe DGGE profiles of two groups displayed significant differences between COPD and healthy groups (P < 0.05). Real-time PCR revealed significant increases of Streptococcus pneumoniae, Klebsiella pneumoniae and Pseudomonas aeruginosa (P < 0.05) in the COPD group compared with the healthy group.

conclusionThis study revealed strong relationship between alterations of sputum microbiota and COPD. By determining the content of several types of bacteria, we can provide evidence to aid in the diagnosis and treatment of COPD.

Indexed as

MicrobiotaAgedAged, 80 and overCase-Control StudiesDenaturing Gradient Gel ElectrophoresisHumansKlebsiella pneumoniaeMiddle AgedPseudomonas aeruginosaPulmonary Disease, Chronic ObstructiveReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SSputumStreptococcus pneumoniaeRNA, Ribosomal, 16S

Identifiers

PMID25403149
PMCPMC4273488

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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.