Evidence map›Paper›PMID 35092460›Full record

ArticleEuropean journal of nutrition2022

Screening for anti-adipogenic, pro-lipolytic and thermogenic plant extracts by models associating intestinal epithelial cells with human adipose cells.

Damien Guillemet, Chloé Belles, Aurélie Gomes, Vincent Azalbert, Mathilde André, Nourdine Faresse, Rémy Burcelin, Jean-Michel Lagarde, Danièle Lacasa, Mayoura Kéophiphath

Open access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 32% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. 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

10 authors at 3 institutions in 1 country.

Damien Guillemet *Nexira, 129 chemin de Croisset, 76000, Rouen, France. d.guillemet@nexira.com.ORCID http://orcid.org/0000-0002-6638-0531
Chloé Belles *Centre Pierre Potier, D.I.V.A. Expertise, 1 place Pierre Potier, 31100, Toulouse, France.
Aurélie GomesCentre Pierre Potier, Imactiv 3D, 1 place Pierre Potier, 31100, Toulouse, France.
Vincent AzalbertInstitute of Cardiovascular and Metabolic Diseases, 1 avenue du Professeur Jean Poulhès, 31432, Toulouse, France.
Mathilde AndréCentre Pierre Potier, D.I.V.A. Expertise, 1 place Pierre Potier, 31100, Toulouse, France.
Nourdine FaresseCentre Pierre Potier, D.I.V.A. Expertise, 1 place Pierre Potier, 31100, Toulouse, France.
Rémy BurcelinInstitute of Cardiovascular and Metabolic Diseases, 1 avenue du Professeur Jean Poulhès, 31432, Toulouse, France.
Jean-Michel LagardeCentre Pierre Potier, Imactiv 3D, 1 place Pierre Potier, 31100, Toulouse, France.
Danièle LacasaCentre Pierre Potier, D.I.V.A. Expertise, 1 place Pierre Potier, 31100, Toulouse, France.
Mayoura KéophiphathCentre Pierre Potier, D.I.V.A. Expertise, 1 place Pierre Potier, 31100, Toulouse, France. mayoura.keophiphath@diva-expertise.com.ORCID http://orcid.org/0000-0002-8388-2189
Université Toulouse III - Paul Sabatier · FRNexira (France) · FRSadir Assistance · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExcessive fat mass accumulation in obesity leads to diverse metabolic disorders, increased risks of cardiovascular diseases and in some cases, mortality. The aim of this study was to screen the actions of botanical extracts intended for oral use on human adipose tissue, using an in vitro screening model combining human intestinal cells with human adipose cells. This was to find the most effective extracts on lipid accumulation, UCP1 expression and ATP production in pre-adipocytes and on adipocyte lipolysis.

methodsIn this study, 25 individual plant extracts were screened for their effects on human adipose cells. Consequently, an original in vitro model was set up using the Caco-2 cell line, to mimic the intestinal passage of the extracts and then exposing human adipose cells to them. The biological actions of extracts were thus characterized, and compared with a coffee extract standard. The most effective extracts, and their combinations, were retained for their actions on lipid accumulation, the expression of the thermogenic effector UCP1 and ATP production in pre-adipocytes as well as on lipolysis activity of mature adipocytes.

resultsThe biphasic culture system combining human Caco-2 cells with human adipose cells was verified as functional using the green coffee extract standard. Out of the 25 plant extracts studied, only 7 and their combinations were retained due to their potent effects on adipose cells biology. The data showed that compared to the coffee extract standard, Immortelle, Catechu, Carrot and Rose hip extracts were the most effective in reducing lipid accumulation and increased UCP1 expression in human pre-adipocytes.

conclusionThis study reveals the potential inhibitory effects on lipid accumulation and thermogenic activity of Immortelle, Catechu, Carrot and Rose hip extracts, and for the first time synergies in their combinations, using an in vitro model mimicking as closely as possible, human intestinal passage linked to adipose cells. These findings need to be confirmed by in vivo trials.

Indexed as

CoffeeLipolysisAdenosine TriphosphateAdipocytesAdipose TissueAdipose Tissue, BrownCaco-2 CellsHumansLipidsPlant ExtractsAdenosine TriphosphateCoffeeLipidsPlant ExtractsAdipose cellsCaco-2Energy metabolismLipid accumulationLipolysisPlant extractsUCP1

Identifiers

PMID35092460
PMCPMC9106611
OpenAlexW4210585503

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.