Microbiome
B. dorei rises before T1D autoimmunity
Open access · cc by · source: Europe PMC
Bacteroides dorei dominates the gut microbiome before autoimmunity in high-risk Finnish children.
Study at a glance
- Design
- Cohort — Longitudinal DIPP stool sequencing in HLA-risk children before T1D autoimmunity
- N
- N=76 · 947 stool samples; 29 seroconverters vs 47 autoantibody-negative controls
- Population
- HLA-DQB1 moderate-to-high-risk children in DIPP
- Outcome
- Gut microbiota (B. dorei dominance) prior to persistent T1D autoantibodies
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
Cases show B. dorei dominance prior to persistent autoantibodies (mean diagnosis age 16.8 months).
Methodology
Sequenced 947 stool samples from 76 HLA-risk children (29 seroconverters vs 47 controls) in a longitudinal DIPP cohort.
Limitations
Does not prove B. dorei causes T1D; observational association.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Genetic instruments for gut taxa link a small set of microbiome–cancer associations under Mendelian randomisation.
Using Mendelian randomisation on gut-taxa genetic instruments, eleven stringent microbiome-to-cancer associations were reported (for example higher breast-cancer odds with Actinobacteria/Bifidobacteriales signals; Tyzzerella3 linked with higher lung adenocarcinoma but lower colorectal cancer risk).
Scope note — different disease and design — observational T1D timing, not cancer MR
Limits the claim's scope: a different population, assay, or outcome.
Before type 1 diabetes autoimmunity, Bacteroides dorei can dominate children’s gut communities.
In children who later developed type 1 diabetes autoimmunity, Bacteroides dorei became dominant in the gut community before persistent autoantibodies (mean diagnosis age about 16.8 months).
Evidence for the claim as stated.
Cancer MR, pediatric T1D timing, and adult metabolic-trait associations all involve gut microbiota, but they answer different disease and design questions. Treating them as one interchangeable “gut microbiome disease effect” collapses distinct estimands.
Evidence for the claim as stated.
Specific taxa and metabolite patterns associate with autoimmunity and metabolic syndrome risk contexts.
Bacteroides dorei dominance before autoimmunity and gut microbiota–metabolite links to metabolic syndrome show community composition correlating with host disease states beyond acute barrier leak.
Evidence for the claim as stated.
Acute viral severity markers, antibiotic perturbation experiments, and chronic microbiota–disease associations should not be collapsed into one “leaky gut causes X” claim.
Evidence for the claim as stated.
Longitudinal human 16S can put a taxon on a timeline without proving it causes disease. In 947 stools from 76 HLA-risk children, Bacteroides dorei dominated before persistent autoantibodies (mean diagnosis age 16.8 months) in seroconverters versus controls — an observational sequence, not a demonstration that B. dorei causes type 1 diabetes.
Evidence for the claim as stated.
Observational blooming and experimental knockdown are not the same evidence. B. dorei rises before autoimmunity in a birth cohort; bee antibiotics and pesticides are assigned exposures with community and (for tetracycline) survival readouts. The first cannot support 'kill this taxon to prevent T1D'; the second still does not prove that every OTU shift causes colony collapse.
Evidence for the claim as stated.
In a longitudinal DIPP cohort, 947 stool samples from 76 HLA-risk children (29 seroconverters versus 47 controls) showed Bacteroides dorei dominance in cases prior to persistent autoantibodies (mean diagnosis age 16.8 months). That is an observational association, not proof that B. dorei causes type 1 diabetes.
Evidence for the claim as stated.
Shotgun gene-content metagenomics (within-species deletions across people; infant diet genes plus 459/660 host transcripts; B. dorei before seroconversion) is not the same experiment as HMP-style 16S biogeography (>24 million reads, 2,983 specimens, ~8,167 V3–V5 reads). A 16S habitat map cannot report accessory genes; a gene-deletion call cannot replace body-wide taxonomy.
Evidence for the claim as stated.
Even among shotgun studies, claims differ in strength. Infant diet work is n=6 versus 6 with host-transcript correlations; DIPP is 76 children and 947 samples but still does not prove B. dorei causes autoimmunity; within-species gene content varies without assigning a disease. Pooling them as 'the microbiome causes immunity' overreads every design.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
Cancer MR, pediatric T1D timing, and adult metabolic-trait associations all involve gut microbiota, but they answer different disease and design questions. Treating them as one interchangeable “gut microbiome disease effect” collapses distinct estimands.
Acute viral severity markers, antibiotic perturbation experiments, and chronic microbiota–disease associations should not be collapsed into one “leaky gut causes X” claim.
Observational blooming and experimental knockdown are not the same evidence. B. dorei rises before autoimmunity in a birth cohort; bee antibiotics and pesticides are assigned exposures with community and (for tetracycline) survival readouts. The first cannot support 'kill this taxon to prevent T1D'; the second still does not prove that every OTU shift causes colony collapse.
- Supports · Antibiotics hurt bee gut and survival
- Supports · Pesticides reshape honey bee gut microbes
Shotgun gene-content metagenomics (within-species deletions across people; infant diet genes plus 459/660 host transcripts; B. dorei before seroconversion) is not the same experiment as HMP-style 16S biogeography (>24 million reads, 2,983 specimens, ~8,167 V3–V5 reads). A 16S habitat map cannot report accessory genes; a gene-deletion call cannot replace body-wide taxonomy.
- Supports · How much do gut bacterial gene contents differ?
- Supports · Infant diet shapes gut–host immunity
- Supports · Human body microbiome biogeography
Even among shotgun studies, claims differ in strength. Infant diet work is n=6 versus 6 with host-transcript correlations; DIPP is 76 children and 947 samples but still does not prove B. dorei causes autoimmunity; within-species gene content varies without assigning a disease. Pooling them as 'the microbiome causes immunity' overreads every design.
- Supports · Infant diet shapes gut–host immunity
- Supports · How much do gut bacterial gene contents differ?
History
When this study was placed
Dated entries from the concept change log — when this paper was added or removed as support, challenge, or qualifier on a claim.
Removed as supporting evidence on Microbiome
Selective bacterial bile-salt hydrolases can change host bile-acid chemistry and weight-related phenotypes in colonization models—evidence that specific microbial enzymes, not only community membership lists, can matter for host physiology.
Placed as a scope qualifier on Microbiome
Using Mendelian randomisation on gut-taxa genetic instruments, eleven stringent microbiome-to-cancer associations were reported (for example higher breast-cancer odds with Actinobacteria/Bifidobacteriales signals; Tyzzerella3 linked with higher lung adenocarcinoma but lower colorectal cancer risk).
Placed as supporting evidence on Microbiome
In children who later developed type 1 diabetes autoimmunity, Bacteroides dorei became dominant in the gut community before persistent autoantibodies (mean diagnosis age about 16.8 months).
Placed as supporting evidence on Microbiome
Cancer MR, pediatric T1D timing, and adult metabolic-trait associations all involve gut microbiota, but they answer different disease and design questions. Treating them as one interchangeable “gut microbiome disease effect” collapses distinct estimands.
Related papers in this topic
Same topic cluster — not a recommendation engine.