AI Article Synopsis

  • Preterm birth (PTB) is a significant health issue for young children, with infections being a leading cause, especially in cases of spontaneous (s)PTB linked to the rupture of membranes.
  • The specific bacteria associated with sPTB vary between studies and among individuals, highlighting the need for a deeper understanding of their complex interactions and strain-level differences.
  • Advanced methods like metaproteomics and metabolomics can provide detailed insights into microbial and host functions, potentially leading to better diagnostic and therapeutic strategies for preventing sPTB.

Article Abstract

Preterm birth (PTB) is a leading cause of morbidity and mortality in young children. Infection is a major cause of this adverse outcome, particularly in PTBs characterised by spontaneous rupture of membranes, referred to as spontaneous (s)PTB. However, the aetiology of sPTB is not well defined and specific bacteria associated with sPTB differ between studies and at the individual level. This may be due to many factors including a lack of understanding of strain-level differences in bacteria that influence how they function and interact with each other and the host. Metaproteomics and metabolomics are mass spectrometry-based methods that enable the collection of detailed microbial and host functional information. Technological advances in this field have dramatically increased the resolution of these approaches, enabling the simultaneous detection of thousands of proteins or metabolites. These data can be used for taxonomic analysis of vaginal bacteria and other microbes, to understand microbiome-host interactions, and identify diagnostic biomarkers or therapeutic targets. Although these methods have been used to assess host proteins and metabolites, few have characterized the microbial compartment in the context of pregnancy. The utilisation of metaproteomic and metabolomic-based approaches has the potential to vastly improve our understanding of the mechanisms leading to sPTB.

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http://dx.doi.org/10.1111/aji.13750DOI Listing

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