Evidence map›Paper›PMID 31164406›Full record

ArticlemSystems2019

New Approaches to Microbiome-Based Therapies.

Andrea C Wong, Maayan Levy

Abstract read
In one paragraph

Article in mSystems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
–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

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

  1. Pooled it
  2. Review
  3. Pharmaceutics · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Optimization of Flavonoid Extraction fromMolecules (Basel, Switzerland) · 2024
    Article
  15. Review
  16. Article
  17. Review
  18. Engineered probioticMicrobiology spectrum · 2023
    Article
  19. Targeting the Gut Microbiota in Kidney Disease: The Future in Renal Nutrition and Metabolism.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2023
    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

2 authors.

Andrea C WongDepartment of Microbiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Maayan LevyDepartment of Microbiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA maayanle@pennmedicine.upenn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade, our understanding of the composition and functions of the gut microbiota has greatly increased. To a large extent, this has been due to the development of high-throughput genomic analyses of microbial communities, which have identified the critical contributions of the microbiome to human health. Consequently, the intestinal microbiota has emerged as an attractive therapeutic target. The large majority of microbiota-targeted therapies aim at engineering the intestinal ecosystem by means of probiotics or prebiotics. Recently, a novel therapeutic approach has emerged which focuses on molecules that are secreted, modulated, or degraded by the microbiome and act directly on the host. Here, we discuss the advantages and challenges associated with the metabolite-based "postbiotic" approach, highlighting recent progress and the areas that need intensive attention and investigation over the next 5 years. The time is ripe for postbiotic therapies to be developed in the near future.

Indexed as

gnotobioticsmetabolitesmetagenomicsmicrobiomemicrobiome-based therapiespostbiotics

Identifiers

PMID31164406
PMCPMC6584878

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.