Early-life antibiotic exposure and type 1 diabetes risk: a systematic review and meta-analysis

Callum De Pasquale1,2, Leonard C Harrison1,2

  • 1Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.

PubMed

Insights

Maternal antibiotic use before conception, specifically macrolides, sulfonamides, or tetracyclines, is linked to an increased risk of type 1 diabetes (T1D) in offspring. Other exposure periods showed no significant association.

Area of Science:

  • Immunology
  • Microbiome Research
  • Public Health

Background:

  • Antibiotic exposure can alter the gut microbiome and infant immune development.
  • Early-life antibiotic use has been inconsistently linked to type 1 diabetes (T1D) risk.
  • Understanding this association is crucial for public health and preventative strategies.

Purpose of the Study:

  • To systematically review and meta-analyze the association between early-life antibiotic exposure and T1D development.
  • To investigate specific antibiotic classes and timing of exposure in relation to T1D risk.
  • To identify potential modifiable risk factors for T1D.

Main Methods:

  • Systematic review and meta-analysis of observational studies.
  • Searched Medline, Embase, Web of Science, and Scopus databases.
  • Included 20 studies with 10,960 T1D cases, analyzing data from preconception to 24 months postnatal.

Main Results:

  • Maternal preconception exposure to macrolide, sulfonamide/trimethoprim, or tetracycline antibiotics was associated with increased T1D odds (ORs ranging from 1.23 to 1.34).
  • No significant association was found for prenatal, neonatal, or postnatal antibiotic exposure.
  • Pooled odds ratios (ORs) and hazard ratios (HRs) were calculated with 95% confidence intervals (CIs).

Conclusions:

  • Preconception antibiotic exposure to specific classes may be a modifiable maternal risk factor for offspring T1D.
  • Findings suggest potential implications for antibiotic prescribing guidelines.
  • Further research is needed to validate these associations and explore precise timing of exposure.
Abstract

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