Evidence map›Paper›PMID 31164407›Full record

ArticlemSystems2019

Digitalizing the Microbiome for Human Health.

Kirti Nath, Christoph A Thaiss

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Kirti NathMicrobiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Christoph A ThaissMicrobiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA thaiss@pennmedicine.upenn.edu.

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Patrick Seale · 1986 to 2026
$48.3M
TRANSGENIC AND CHIMERIC MOUSE COREP30DK050306 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI REBECCA G WELLS · 1997 to 2026
$32.5M
Study Design and Data AnalysisP30AR069589 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth Anne Grice · 2016 to 2026
$8.6M
NIAMS NIH HHS P30 AR069589NIDDK NIH HHS P30 DK019525NIDDK NIH HHS P30 DK050306
6 · The paper itself

Abstract

The microbiome has recently joined the club of endocrine entities of the human body that are involved in homeostasis and disease. Microbiome characterizations are now typically included in longitudinal and cross-sectional population studies, associations with microbiome features have been made for almost any human disease, and the molecules by which the microbiome functionally contributes to host physiology are being elucidated. The leverage of these efforts for human health, however, is still rather modest. In this Perspective, we summarize some of the challenges that need to be overcome in order to make microbiome studies as informative for human health as genetic studies. Focusing on the role of the microbiome in host metabolism and inflammation, we also outline potential strategies that can be employed to achieve the next milestones in the journey toward microbiome-informed human health assessment and action.

Indexed as

artificial intelligencediseasehealthmicrobiomeMWAS

Identifiers

PMID31164407
PMCPMC6584879

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.