Evidence map›Paper›PMID 32245478›Full record

ArticleMicrobial cell factories2020

Impact of lignans in oilseed mix on gut microbiome composition and enterolignan production in younger healthy and premenopausal women: an in vitro pilot study.

Giulia Corona, Anna Kreimes, Monica Barone, Silvia Turroni, Patrizia Brigidi, Enver Keleszade, Adele Costabile

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Small Molecule Metabolites at the Host-Microbiota Interface.Journal of immunology (Baltimore, Md. : 1950) · 2021
    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

7 authors at 2 institutions in 2 countries.

Giulia CoronaHealth Science Research Centre, Department of Life Sciences, University of Roehampton, London, UK.
Anna KreimesHealth Science Research Centre, Department of Life Sciences, University of Roehampton, London, UK.
Monica BaroneUnit of Holobiont Microbiome and Microbiome Engineering, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Silvia TurroniUnit of Holobiont Microbiome and Microbiome Engineering, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Patrizia BrigidiUnit of Holobiont Microbiome and Microbiome Engineering, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
Enver KeleszadeHealth Science Research Centre, Department of Life Sciences, University of Roehampton, London, UK.
Adele CostabileHealth Science Research Centre, Department of Life Sciences, University of Roehampton, London, UK. adele.costabile@roehampton.ac.uk.
University of Roehampton · GBUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary lignans belong to the group of phytoestrogens together with coumestans, stilbenes and isoflavones, and themselves do not exhibit oestrogen-like properties. Nonetheless, the gut microbiota converts them into enterolignans, which show chemical similarity to the human oestrogen molecule. One of the richest dietary sources of lignans are oilseeds, including flaxseed. The aim of this pilot study was to determine the concentration of the main dietary lignans in an oilseed mix, and explore the gut microbiota-dependent production of enterolignans for oestrogen substitution in young and premenopausal women. The oilseed mix was fermented in a pH-controlled batch culture system inoculated with women's faecal samples. The lignan content and enterolignan production were measured by ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS), and the faecal-derived microbial communities were profiled by 16S rRNA gene-based next-generation sequencing.

resultsIn vitro batch culture fermentation of faecal samples inoculated with oilseed mix for 24 h resulted in a substantial increase in enterolactone production in younger women and an increase in enterodiol in the premenopausal group. As for the gut microbiota, different baseline profiles were observed as well as different temporal dynamics, mainly related to Clostridiaceae, and Klebsiella and Collinsella spp.

conclusionsDespite the small sample size, our pilot study revealed that lignan-rich oilseeds could strongly influence the faecal microbiota of both younger and premenopausal females, leading to a different enterolignan profile being produced. Further studies in larger cohorts are needed to evaluate the long-term effects of lignan-rich diets on the gut microbiota and find out how enterolactone-producing bacterial species could be increased. Diets rich in lignans could potentially serve as a safe supplement of oestrogen analogues to meet the cellular needs of endogenous oestrogen and deliver numerous health benefits, provided that the premenopausal woman microbiota is capable of converting dietary precursors into enterolignans.

Indexed as

Case-Control StudiesFemaleGastrointestinal MicrobiomeHumansLignansPilot ProjectsPlant OilsPremenopauseLignansPlant OilsEnterodiolEnterolactoneEnterolignansFlaxseedGut microbiomeMetabolism

Identifiers

PMID32245478
PMCPMC7119089
OpenAlexW3014732816

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.