Related Experiment Video
Updated: Feb 12, 2026

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Akkermansia muciniphila is permissive to arthritis in the K/BxN mouse model of arthritis
Matthew L Stoll1, M Kathy Pierce2, Jordan A Watkins2
1Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, USA. mstoll@peds.uab.edu.
Abstract:
Studies have identified abnormalities in the microbiota of patients with arthritis. To evaluate the pathogenicity of human microbiota, we performed fecal microbial transplantation from children with spondyloarthritis and controls to germ-free KRN/B6xNOD mice. Ankle swelling was equivalent in those that received patient vs. control microbiota. Principal coordinates analysis revealed incomplete uptake of the human microbiota with over-representation of two genera (Bacteroides and Akkermansia) among the transplanted mice. The microbiota predicted the extent of ankle swelling (R2 = 0.185, p = 0.018). The abundances of Bacteroides (r = -0.510, p = 0.010) inversely and Akkermansia (r = 0.367, p = 0.078) directly correlated with ankle swelling. Addition of Akkermansia muciniphila to Altered Schaedler's Flora (ASF) resulted in small but statistically significant increased ankle swelling as compared to mice that received ASF alone (4.0 mm, 3.9-4.1 vs. 3.9 mm, IQR 3.6-4.0, p = 0.041), as did addition of A. muciniphila cultures to transplanted human microbiota as compared to mice that received transplanted human microbiota alone (4.5 mm, IQR 4.3-5.5 vs. 4.1 mm, IQR 3.9-4.3, p = 0.019). This study supports previous findings of an association between A. muciniphila and arthritis.
Insights
The gut microbiota in children with spondyloarthritis may influence arthritis development. Specifically, Akkermansia muciniphila abundance correlated with increased ankle swelling in mice, suggesting a role in arthritis pathogenesis.
Area of Science:
- Microbiology
- Immunology
- Gastroenterology
Background:
- Abnormalities in the gut microbiota are increasingly recognized in patients with inflammatory conditions like arthritis.
- Understanding the pathogenic potential of the human microbiota is crucial for developing targeted therapies.
Purpose of the Study:
- To investigate the pathogenicity of human microbiota from children with spondyloarthritis (SpA) in a mouse model.
- To determine the specific microbial players associated with arthritis development.
Main Methods:
- Fecal microbial transplantation from SpA patients and healthy children into germ-free mice.
- Assessment of ankle swelling as a measure of arthritis severity.
- 16S rRNA gene sequencing and bioinformatic analysis to characterize the gut microbiota composition.
- Correlation analysis to link microbial abundance with disease severity.
Main Results:
- Ankle swelling was comparable between mice receiving microbiota from SpA patients and controls, indicating complex host-microbe interactions.
- Transplanted microbiota showed incomplete engraftment with over-representation of Bacteroides and Akkermansia genera.
- Microbiota composition significantly predicted ankle swelling severity (R2 = 0.185, p = 0.018).
- Bacteroides abundance inversely correlated with swelling (r = -0.510, p = 0.010), while Akkermansia abundance showed a positive correlation (r = 0.367, p = 0.078).
- Addition of Akkermansia muciniphila to a defined microbial community (ASF) or transplanted human microbiota significantly increased ankle swelling.
Conclusions:
- This study supports an association between Akkermansia muciniphila and arthritis development.
- The findings highlight the potential role of specific gut bacteria in the pathogenesis of spondyloarthritis.
More Related Videos
Related Concept Videos
Mouse Models of Cancer Study
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Molecular Models
The Bohr Model
Stereotype Content Model
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
Compartment Models: Two-Compartment Model

