Evidence map›Paper›PMID 32587579›Full record

ArticleFrontiers in microbiology2020

Exploring the Bacterial Impact on Cholesterol Cycle: A Numerical Study.

Mélanie Bourgin, Simon Labarthe, Aicha Kriaa, Marie Lhomme, Philippe Gérard, Philippe Lesnik, Béatrice Laroche, Emmanuelle Maguin, Moez Rhimi

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. How the Microbiome Drives Cardiovascular Disease.The Surgical clinics of North America · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Diet-gut microbiota interactions on cardiovascular disease.Computational and structural biotechnology journal · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. 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

9 authors.

Mélanie BourginMicalis Institute, Université Paris-Saclay, INRAE, AgroParisTech, Jouy-en-Josas, France.
Simon LabartheUniversité Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, France.
Aicha KriaaMicalis Institute, Université Paris-Saclay, INRAE, AgroParisTech, Jouy-en-Josas, France.
Marie LhommeINSERM, UMRS 1166, Sorbonne Universités, Hôpital Pitié-Salpétrière, Paris, France.
Philippe GérardMicalis Institute, Université Paris-Saclay, INRAE, AgroParisTech, Jouy-en-Josas, France.
Philippe LesnikINSERM, UMRS 1166, Sorbonne Universités, Hôpital Pitié-Salpétrière, Paris, France.
Béatrice LarocheUniversité Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, France.
Emmanuelle MaguinMicalis Institute, Université Paris-Saclay, INRAE, AgroParisTech, Jouy-en-Josas, France.
Moez RhimiMicalis Institute, Université Paris-Saclay, INRAE, AgroParisTech, Jouy-en-Josas, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High blood cholesterol levels are often associated with cardiovascular diseases. Therapeutic strategies, targeting different functions involved in cholesterol transport or synthesis, were developed to control cholesterolemia in human. However, the gut microbiota is also involved in cholesterol regulation by direct biotransformation of luminal cholesterol or conversion of bile salts, opening the way to the design of new strategies to manage cholesterol level. In this report, we developed for the first time a whole-body human model of cholesterol metabolism including the gut microbiota in order to investigate the relative impact of host and microbial pathways. We first used an animal model to investigate the ingested cholesterol distribution

Indexed as

cholesterol metabolismfunctional ecologyholobiontmathematical modelmicrobiomemicrobiotasystem biologywhole body model

Identifiers

PMID32587579
PMCPMC7298119

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.