Evidence map›Paper›PMID 25883569›Full record

ReviewFrontiers in physiology2015

Individualized medicine and the microbiome in reproductive tract.

Andrea G Braundmeier, Katherine M Lenz, Kristin S Inman, Nicholas Chia, Patricio Jeraldo, Marina R S Walther-António, Margret E Berg Miller, Fang Yang, Douglas J Creedon, Heidi Nelson and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Female reproductive tract microbiome and early miscarriages.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

11 authors.

Andrea G BraundmeierDepartment of Medical Microbiology, Immunology and Cell Biology, Department of Obstetrics and Gynecology, Southern Illinois University School of Medicine Springfield, IL, USA.
Katherine M LenzDepartment of Medical Microbiology, Immunology and Cell Biology, Department of Obstetrics and Gynecology, Southern Illinois University School of Medicine Springfield, IL, USA.
Kristin S InmanDepartment of Cancer Biology, Mayo Clinic College of Medicine Jacksonville, FL, USA.
Nicholas ChiaThe Center for Individualized Medicine, Mayo Clinic Rochester, MN, USA ; Division of Nutritional Sciences, University of Illinois Urbana, IL, USA ; Biomedical Engineering and Physiology, Mayo College Rochester, MN, USA.
Patricio JeraldoThe Center for Individualized Medicine, Mayo Clinic Rochester, MN, USA ; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana, IL, USA ; Department of Surgery, Mayo Clinic Rochester, MN, USA.
Marina R S Walther-AntónioThe Center for Individualized Medicine, Mayo Clinic Rochester, MN, USA ; Department of Surgery, Mayo Clinic Rochester, MN, USA.
Margret E Berg MillerCarl R. Woese Institute for Genomic Biology, University of Illinois Urbana, IL, USA.
Fang YangDivision of Nutritional Sciences, University of Illinois Urbana, IL, USA ; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana, IL, USA.
Douglas J CreedonDepartment of Obstetrics and Gynecology, Mayo Clinic Rochester, MN, USA.
Heidi NelsonThe Center for Individualized Medicine, Mayo Clinic Rochester, MN, USA ; Department of Surgery, Mayo Clinic Rochester, MN, USA.
Bryan A WhiteCarl R. Woese Institute for Genomic Biology, University of Illinois Urbana, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans have evolved along with the millions of microorganisms that populate their bodies. These microbes (10(14)) outnumber human cells by 10 to 1 and account for 3 × 10(6) genes, more than ten times the 25,000 human genes. This microbial metagenome acts as our "other genome" and like our own genes, is unique to the individual. Recent international efforts such as the Human Microbiome Project (HMP) and the MetaHIT Project have helped catalog these microbial genomes using culture-independent, high-throughput, next-generation sequencing. This manuscript will describe recent efforts to define microbial diversity in the female reproductive tract because of the impact that microbial function has on reproductive efficiency. In this review, we will discuss current evidence that microbial communities are critical for maintaining reproductive health and how perturbations of microbial community structures can impact reproductive health from the aspect of infection, reproductive cyclicity, pregnancy, and disease states. Investigations of the human microbiome are propelling interventional strategies from treating medical populations to treating individual patients. In particular, we highlight how understanding and defining microbial community structures in different disease and physiological states have lead to the discovery of biomarkers and, more importantly, the development and implementation of microbial intervention strategies (probiotics) into modern day medicine. Finally this review will conclude with a literature summary of the effectiveness of microbial intervention strategies that have been implemented in animal and human models of disease and the potential for integrating these microbial intervention strategies into standard clinical practice.

Indexed as

biomarkersindividualized medicinemicrobiomePregnancyreproductive tract infections

Identifiers

PMID25883569
PMCPMC4381647

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.