Intra-amniotic infection: diagnosis, nomenclature, clinical significance, management, and microbiologic tools used

Pisut Pongchaikul1,2,3, Puntabut Warintaksa4, Piroon Jenjaroenpun5,6,7

  • 1Chakri Naruebodindra Medical Institute, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Samut Prakarn, Thailand.

Insights

Intra-amniotic infection diagnosis is crucial for preterm birth. Molecular methods like sequencing offer faster, more comprehensive pathogen detection than traditional cultures, improving maternal-fetal outcomes.

Area of Science:

  • Obstetrics and Gynecology
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Intra-amniotic infection is a primary cause of spontaneous preterm birth and adverse maternal-fetal outcomes.
  • Conventional microbiological methods for diagnosing intra-amniotic infection are slow and cannot detect all causative organisms.

Purpose of the Study:

  • To review current diagnostic methods for intra-amniotic infection.
  • To evaluate the advantages and limitations of molecular diagnostic approaches.
  • To discuss considerations for implementing molecular diagnostics in clinical settings.

Main Methods:

  • Review of literature on intra-amniotic infection diagnosis.
  • Evaluation of conventional culture-based methods.
  • Analysis of targeted nucleic acid amplification methods (PCR, 16S rRNA gene sequencing).
  • Assessment of whole-genome sequencing and metagenomic next-generation sequencing.

Main Results:

  • Molecular methods like PCR and sequencing significantly improve the detection of bacteria, including unculturable organisms, in intra-amniotic infections.
  • Next-generation sequencing enables comprehensive pathogen profiling, detecting bacteria, viruses, and fungi, along with resistance and virulence genes.
  • Challenges in low-biomass samples include contamination, host DNA, and data interpretation, impacting specificity.

Conclusions:

  • Molecular diagnostics offer improved etiological diagnosis for intra-amniotic infection compared to traditional methods.
  • Addressing pre-analytical, analytical, and bioinformatic challenges is essential for reliable implementation.
  • Integrating molecular diagnostics into clinical workflows can guide targeted therapy and improve maternal and fetal outcomes.

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