Evidence map›Paper›PMID 21775143›Full record

ArticleTrends in microbiology2011

Investigating the biological and clinical significance of human dysbioses.

Daniel N Frank, Wei Zhu, R Balfour Sartor, Ellen Li

Registry-linked trialAbstract read
In one paragraph

Article in Trends in microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02232282 (Acupuncture for Female Interstitial Cystitis/Painful Bladder Syndrome and Its Effect on the Urinary Microbiome), which is not on this map. Cited by 89 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 2 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.

NCT02232282 nacompletednot on this mapstarted 2014, after this paper: background citation

Acupuncture for Female Interstitial Cystitis/Painful Bladder Syndrome and Its Effect on the Urinary Microbiome: A Randomized Controlled Trial

TypeinterventionalSponsorLoyola UniversityRan2014 to 2017Enrolled22ConditionsPainful Bladder Syndrome, Interstitial CystitisArmsstandard acupuncture treatment, Control Sham/Minimal Acupuncture
3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Review
  9. Review
  10. The Role of the Microbiome in Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Review
  11. Article
  12. Effect of Lactic Fermented Cactus Pear (Indian journal of microbiology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Chronic Rhinosinusitis,Biomedicines · 2022
    Review
  19. Review
  20. Article

29 more citing papers are in PubMed but not listed here.

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

4 authors.

Daniel N FrankDivision of Infectious Diseases, School of Medicine, University of Colorado, School of Medicine, Aurora, CO 80045, USA. daniel.frank@ucdenver.edu
Wei Zhu
R Balfour Sartor
Ellen Li

Funding

PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Temitope O. Keku · 1985 to 2026
$30.5M
Colitis Induced by immune responses to luminal bacteria-mouseR01DK053347 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SARTOR, RYAN B · 1998 to 2012
$4.6M
NATIONAL GNOTOBIOTIC RODENT RESOURCE CENTER: AIDSP40RR018603 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SARTOR, RYAN B · 2004 to 2011
$4.0M
Mucosal Determinants of HIV Infection of Infants by Breast MilkR01HD059527 · NICHD · UNIVERSITY OF COLORADO DENVER · PI JANOFF, EDWARD N · 2009 to 2012
$2.2M
Effect of Crohn's Disease Risk Alleles on Enteric MicrobiotaUH2DK083994 · NIDDK · WASHINGTON UNIVERSITY · PI LI, ELLEN · 2009 to 2010
$1.2M
High Performance Validation and Classification of Metagenomic Ribosomal-RNA SequeR21HG005964 · NHGRI · UNIVERSITY OF COLORADO DENVER · PI FRANK, DANIEL N · 2010 to 2011
$456k
NCRR NIH HHS P40 RR018603NCRR NIH HHS RR018603NHGRI NIH HHS HG005964NHGRI NIH HHS R21 HG005964NICHD NIH HHS HD059527NICHD NIH HHS R01 HD059527NIDDK NIH HHS DK034987NIDDK NIH HHS DK53347NIDDK NIH HHS P30 DK034987NIDDK NIH HHS R01 DK053347NIDDK NIH HHS UH2 DK083994
6 · The paper itself

Abstract

Culture-independent microbiological technologies that interrogate complex microbial populations without prior axenic culture, coupled with high-throughput DNA sequencing, have revolutionized the scale, speed and economics of microbial ecological studies. Their application to the medical realm has led to a highly productive merger of clinical, experimental and environmental microbiology. The functional roles played by members of the human microbiota are being actively explored through experimental manipulation of animal model systems and studies of human populations. In concert, these studies have appreciably expanded our understanding of the composition and dynamics of human-associated microbial communities (microbiota). Of note, several human diseases have been linked to alterations in the composition of resident microbial communities, so-called dysbiosis. However, how changes in microbial communities contribute to disease etiology remains poorly defined. Correlation of microbial composition represents integration of only two datasets (phenotype and microbial composition). This article explores strategies for merging the human microbiome data with multiple additional datasets (e.g. host single nucleotide polymorphisms and host gene expression) and for integrating patient-based data with results from experimental animal models to gain deeper understanding of how host-microbe interactions impact disease.

Indexed as

Host-Pathogen InteractionsMetagenomeAnimalsGenetics, MedicalHumansImmunity

Identifiers

PMID21775143
PMCPMC3164499

What OpenQuestion holds

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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.