| Title |
Antibiotic-mediated gut microbiome perturbation accelerates development of type 1 diabetes in mice
|
|---|---|
| Published in |
Nature Microbiology, August 2016
|
| DOI | 10.1038/nmicrobiol.2016.140 |
| Pubmed ID | |
| Authors |
Alexandra E. Livanos, Thomas U. Greiner, Pajau Vangay, Wimal Pathmasiri, Delisha Stewart, Susan McRitchie, Huilin Li, Jennifer Chung, Jiho Sohn, Sara Kim, Zhan Gao, Cecily Barber, Joanne Kim, Sandy Ng, Arlin B. Rogers, Susan Sumner, Xue-Song Zhang, Ken Cadwell, Dan Knights, Alexander Alekseyenko, Fredrik Bäckhed, Martin J. Blaser |
| Abstract |
The early life microbiome plays important roles in host immunological and metabolic development. Because the incidence of type 1 diabetes (T1D) has been increasing substantially in recent decades, we hypothesized that early-life antibiotic use alters gut microbiota, which predisposes to disease. Using non-obese diabetic mice that are genetically susceptible to T1D, we examined the effects of exposure to either continuous low-dose antibiotics or pulsed therapeutic antibiotics (PAT) early in life, mimicking childhood exposures. We found that in mice receiving PAT, T1D incidence was significantly higher, and microbial community composition and structure differed compared with controls. In pre-diabetic male PAT mice, the intestinal lamina propria had lower Th17 and Treg proportions and intestinal SAA expression than in controls, suggesting key roles in transducing the altered microbiota signals. PAT affected microbial lipid metabolism and host cholesterol biosynthetic gene expression. These findings show that early-life antibiotic treatments alter the gut microbiota and its metabolic capacities, intestinal gene expression and T-cell populations, accelerating T1D onset in non-obese diabetic mice. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 29% |
| United Kingdom | 8 | 11% |
| Spain | 5 | 7% |
| Chile | 3 | 4% |
| Mexico | 3 | 4% |
| Switzerland | 2 | 3% |
| Australia | 2 | 3% |
| France | 2 | 3% |
| Italy | 1 | 1% |
| Other | 9 | 13% |
| Unknown | 16 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 60% |
| Scientists | 19 | 26% |
| Practitioners (doctors, other healthcare professionals) | 8 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Thailand | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 319 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 19% |
| Researcher | 50 | 15% |
| Student > Bachelor | 38 | 12% |
| Student > Master | 30 | 9% |
| Student > Doctoral Student | 17 | 5% |
| Other | 55 | 17% |
| Unknown | 74 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 18% |
| Biochemistry, Genetics and Molecular Biology | 45 | 14% |
| Immunology and Microbiology | 43 | 13% |
| Medicine and Dentistry | 38 | 12% |
| Neuroscience | 9 | 3% |
| Other | 44 | 14% |
| Unknown | 88 | 27% |