PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 5, 2025Nature Communications16 citationsOpen Access

Microbiome-derived bile acid signatures in early life and their association with islet autoimmunity

View Full Paper
SLSantosh LamichhaneADAlex M. DickensTBTanja Buchacher

Key Points

  • Altered bile acid levels were associated with islet autoimmunity, including unique patterns in children with autoantibodies.
  • Distinct levels of ursodeoxycholic and deoxycholic acid conjugates were identified in children who later developed islet autoimmunity.
  • Analysis of 303 stool samples collected longitudinally from 3 to 36 months highlighted correlations with gut microbiome composition.
  • These findings imply a significant role of microbiome-derived bile acids in immune development and diabetes risk.

Abstract

Abstract Emerging studies reveal that gut microbes can conjugate diverse amino acids to bile acids, known as microbially conjugated bile acids. However, their regulation and health effects remain unclear. Here, we analyzed early-life microbially conjugated bile acid patterns and their link to islet autoimmunity. We quantified 110 microbial bile acids in 303 stool samples collected longitudinally (3–36 months) from children who developed one or more islet autoantibodies and controls who remained autoantibody-negative. We identified distinct age-dependent trajectories of these bile acid amidates and correlated them with gut microbiome composition. We found that altered levels of ursodeoxycholic and deoxycholic acid conjugates were linked to islet autoimmunity as well as modulated monocyte activation in response to immunostimulatory lipopolysaccharide and Th17/Treg cell balance. These findings suggest that microbially conjugated bile acids influence immune development and type 1 diabetes risk.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lamichhane et al. (2025) studied this question.

synapsesocial.com/papers/6932313d8e51979591dcef9chttps://doi.org/10.1038/s41467-025-66619-6
Ask AI
Helpful
Bookmark
Share
View Full Paper