Evidence map›Paper›PMID 35982311›Full record

ArticleNature microbiology2022

Characterization of interactions of dietary cholesterol with the murine and human gut microbiome.

Henry H Le, Min-Ting Lee, Kevin R Besler, Janine M C Comrie, Elizabeth L Johnson

Open access · hybridAbstract read
In one paragraph

Article in Nature microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 116 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Expanding bile acid diversityNatural product reports · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. The Potential of Microbiota-Modulating Dietary Strategies in Gallstone Prevention: Evidence from 2 Large Population- Based Cohorts.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Frontiers in microbiology · 2026
    Article

19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Henry H Le *Division of Nutritional Sciences, Cornell Univesity, Ithaca, NY, USA.ORCID http://orcid.org/0000-0003-2942-2357
Min-Ting Lee *Division of Nutritional Sciences, Cornell Univesity, Ithaca, NY, USA.
Kevin R BeslerDivision of Nutritional Sciences, Cornell Univesity, Ithaca, NY, USA.
Janine M C ComrieDivision of Nutritional Sciences, Cornell Univesity, Ithaca, NY, USA.
Elizabeth L JohnsonDivision of Nutritional Sciences, Cornell Univesity, Ithaca, NY, USA. elj54@cornell.edu.ORCID http://orcid.org/0000-0002-8290-1122
Cornell University · US

Funding

Sphingolipid-dependent host-microbe interactionsR35GM138281 · NIGMS · CORNELL UNIVERSITY · PI Elizabeth L Johnson · 2020 to 2026
$3.1M
Broad wavelength range Zeiss 780 NLO/confocal system for the Cornell Imaging CoreS10OD018516 · OD · CORNELL UNIVERSITY · PI ZIPFEL, WARREN R · 2014 to 2014
$834k
NIGMS NIH HHS R35 GM138281NIH HHS S10 OD018516
6 · The paper itself

Abstract

Consumption of dietary lipids, such as cholesterol, modulates the gut microbiome with consequences for host health through the production of microbiome-derived metabolites. Despite the implications for host metabolism, a limited number of specific interactions of the gut microbiome with diet-derived lipids have been characterized. This is partially because obtaining species-level resolution of the responsible taxa can be challenging and additional approaches are needed to identify health-relevant metabolites produced from cholesterol-microbiome interactions. Here we performed bio-orthogonal labelling sort sequence spectrometry, a click chemistry based workflow, to profile cholesterol-specific host-microbe interactions. Mice were exposed to an alkyne-functionalized variant of cholesterol and 16S ribosomal RNA gene amplicon sequencing of faecal samples identified diet-derived cholesterol-interacting microbes from the genera Bacteroides, Bifidobacterium, Enterococcus and Parabacteroides. Shotgun metagenomic analysis provided species-level resolution of diet-derived cholesterol-interacting microbes with enrichment of bile acid-like and sulfotransferase-like activities. Using untargeted metabolomics, we identify that cholesterol is converted to cholesterol sulfate in a Bacteroides-specific manner via the enzyme BT_0416. Mice monocolonized with Bacteroides thetaiotaomicron lacking Bt_0416 showed altered host cholesterol and cholesterol sulfate compared with wild-type mice, identifying a previously uncharacterized microbiome-transformation of cholesterol and a mechanism for microbiome-dependent contributions to host phenotype. Moreover, identification of a cholesterol-responsive sulfotransferase in Bacteroides suggests diet-dependent mechanisms for altering microbiome-specific cholesterol metabolism. Overall, our work identifies numerous cholesterol-interacting microbes with implications for more precise microbiome-conscious regulation of host cholesterol homeostasis.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsBacteroidesCholesterolCholesterol, DietaryDietary FatsHumansMiceSulfotransferasesCholesterolCholesterol, DietaryDietary FatsSulfotransferases

Identifiers

PMID35982311
PMCPMC9417993
OpenAlexW4293067895

What OpenQuestion holds

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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.