Evidence map›Paper›PMID 27146150›Full record

ArticleBMC medicine2016

Mirror, mirror on the wall: which microbiomes will help heal them all?

Renuka R Nayak, Peter J Turnbaugh

Registry-linked trialAbstract readEditorial
In one paragraph

Article in BMC medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03612193 (Role of the Gut Microbiome in Complex Regional Pain Syndrome), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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.

NCT03612193 recruitingnot on this mapstarted 2018, after this paper: background citation

Role of the Gut Microbiome in Complex Regional Pain Syndrome

TypeobservationalSponsorWashington University School of MedicineRan2018 to 2027Enrolled140ConditionsComplex Regional Pain Syndromes
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Chronic Inflammatory Diseases: Are We Ready for Microbiota-based Dietary Intervention?Cellular and molecular gastroenterology and hepatology · 2019
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. 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

2 authors.

Renuka R NayakDepartment of Microbiology and Immunology, G.W. Hooper Foundation, University of California San Francisco, 513 Parnassus Avenue, San Francisco, CA, 94143, USA.
Peter J TurnbaughDepartment of Microbiology and Immunology, G.W. Hooper Foundation, University of California San Francisco, 513 Parnassus Avenue, San Francisco, CA, 94143, USA. Peter.Turnbaugh@ucsf.edu.

Funding

UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
ACADEMIC RHEUMATOLOGY AND CLINICAL IMMUNOLOGYT32AR007304 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DAIKH, DAVID I · 1986 to 2018
$6.0M
Predicting and preventing drug metabolism by the human gut microbiomeR01HL122593 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Peter James Turnbaugh · 2016 to 2026
$5.7M
NHLBI NIH HHS R01 HL122593NHLBI NIH HHS R01HL122593NIAMS NIH HHS 5T32AR007304-37NIAMS NIH HHS T32 AR007304NIDDK NIH HHS P30 DK098722
6 · The paper itself

Abstract

backgroundClinicians have known for centuries that there is substantial variability between patients in their response to medications-some individuals exhibit a miraculous recovery while others fail to respond at all. Still others experience dangerous side effects. The hunt for the factors responsible for this variation has been aided by the ability to sequence the human genome, but this just provides part of the picture. Here, we discuss the emerging field of study focused on the human microbiome and how it may help to better predict drug response and improve the treatment of human disease. DISCUSSION: Various clinical disciplines characterize drug response using either continuous or categorical descriptors that are then correlated to environmental and genetic risk factors. However, these approaches typically ignore the microbiome, which can directly metabolize drugs into downstream metabolites with altered activity, clearance, and/or toxicity. Variations in the ability of each individual's microbiome to metabolize drugs may be an underappreciated source of differences in clinical response. Complementary studies in humans and animal models are necessary to elucidate the mechanisms responsible and to test the feasibility of identifying microbiome-based biomarkers of treatment outcomes. We propose that the predictive power of genetic testing could be improved by taking a more comprehensive view of human genetics that encompasses our human and microbial genomes. Furthermore, unlike the human genome, the microbiome is rapidly altered by diet, pharmaceuticals, and other interventions, providing the potential to improve patient care by re-shaping our associated microbial communities.

Indexed as

Gastrointestinal MicrobiomeMicrobial ConsortiaGenome, HumanHumansMetagenomicsPrecision MedicineGeneticsGut microbiomePharmacologyPharmaco-metagenomicsPrecision medicine

Identifiers

PMID27146150
PMCPMC4857263

What OpenQuestion holds

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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.