Evidence map›Paper›PMID 23365674›Full record

ArticlePloS one2013

Sputum microbiota in tuberculosis as revealed by 16S rRNA pyrosequencing.

Man Kit Cheung, Wai Yip Lam, Wendy Yin Wan Fung, Patrick Tik Wan Law, Chun Hang Au, Wenyan Nong, Kai Man Kam, Hoi Shan Kwan, Stephen Kwok Wing Tsui

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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.

NCT04079400 completednot on this mapstarted 2016, after this paper: background citation

Microbiome in Patients With Pulmonary Tuberculosis, Non-tuberculous Mycobacterial Pulmonary Diseases (NTM-PD), Lung Cancer and Hemoptysis

Typeobservational_patient_registrySponsorGachon University Gil Medical CenterRan2016 to 2019Enrolled43ConditionsTuberculosis, Pulmonary, Non-Tuberculous Mycobacterial Pneumonia, Lung Cancer, Hemoptysis
NCT04687709 completednot on this mapstarted 2021, after this paper: background citation

To Investigate the Role of Gut Microbiome in Androgen Deprivation Therapy Related Metabolic Changes in Prostate Cancer Patients

TypeobservationalSponsorChinese University of Hong KongRan2021 to 2023Enrolled50ConditionsProstate Cancer
NCT04700579 recruitingnot on this mapstarted 2021, after this paper: background citation

Pre- and Post-treatment Lung Microbiota, Metabolome and Immune Signatures at the Site of Disease in Patients With Active Pulmonary Tuberculosis

Typeobservational_patient_registrySponsorUniversity of StellenboschRan2021 to 2027Enrolled150ConditionsTB - Tuberculosis, HIV/AIDS
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

  1. Pooled it
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  14. The Interplay betweenClinics and practice · 2024
    Review
  15. What Makes the Gut-Lung Axis Working? From the Perspective of Microbiota and Traditional Chinese Medicine.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Review
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  18. TheAccess microbiology · 2023
    Article
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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

9 authors at 2 institutions in 1 country.

Man Kit CheungSchool of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Wai Yip Lam
Wendy Yin Wan Fung
Patrick Tik Wan Law
Chun Hang Au
Wenyan Nong
Kai Man Kam
Hoi Shan Kwan
Stephen Kwok Wing Tsui
Chinese University of Hong Kong · CNDepartment of Health · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a global threat in the 21st century. Traditional studies of the disease are focused on the single pathogen Mycobacterium tuberculosis. Recent studies have revealed associations of some diseases with an imbalance in the microbial community. Characterization of the TB microbiota could allow a better understanding of the disease. METHODOLOGY/PRINCIPAL

findingsHere, the sputum microbiota in TB infection was examined by using 16S rRNA pyrosequencing. A total of 829,873 high-quality sequencing reads were generated from 22 TB and 14 control sputum samples. Firmicutes, Proteobacteria, Bacteroidetes, Actinobacteria, and Fusobacteria were the five major bacterial phyla recovered, which together composed over 98% of the microbial community. Proteobacteria and Bacteroidetes were more represented in the TB samples and Firmicutes was more predominant in the controls. Sixteen major bacterial genera were recovered. Streptococcus, Neisseria and Prevotella were the most predominant genera, which were dominated by several operational taxonomic units grouped at a 97% similarity level. Actinomyces, Fusobacterium, Leptotrichia, Prevotella, Streptococcus, and Veillonella were found in all TB samples, possibly representing the core genera in TB sputum microbiota. The less represented genera Mogibacterium, Moryella and Oribacterium were enriched statistically in the TB samples, while a genus belonging to the unclassified Lactobacillales was enriched in the controls. The diversity of microbiota was similar in the TB and control samples. CONCLUSIONS/SIGNIFICANCE: The composition and diversity of sputum microbiota in TB infection was characterized for the first time by using high-throughput pyrosequencing. It lays the framework for examination of potential roles played by the diverse microbiota in TB pathogenesis and progression, and could ultimately facilitate advances in TB treatment.

Indexed as

AdultAgedAged, 80 and overBacteriaBiodiversityCase-Control StudiesFemaleHigh-Throughput Nucleotide SequencingHumansMaleMetagenomeMiddle AgedPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASputumRNA, Ribosomal, 16S

Identifiers

PMID23365674
PMCPMC3554703
OpenAlexW2006800719

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.