Biomarker Identification for Preterm Birth Susceptibility: Vaginal Microbiome Meta-Analysis Using Systems Biology and Machine Learning Approaches.
Sudeepti KulshresthaPriyanka NaradBrojen SinghSomnath S PaiPooja VijayaraghavanAnsh TandonPayal GuptaDeepak N ModiAbhishek SenguptaPublished in: American journal of reproductive immunology (New York, N.Y. : 1989) (2024)
Vaginal infections caused by Shuttleworthia, Megasphaera, and Sneathia and altered small metabolite biosynthesis pathways such as lipopolysaccharide folate and retinal may increase the susceptibility to PTB. The identified organisms, genes, pathways, and their networks may be specifically targeted for the treatment of bacterial infections that increase PTB risk.
Keyphrases
- preterm birth
- machine learning
- systematic review
- low birth weight
- gestational age
- bioinformatics analysis
- optical coherence tomography
- meta analyses
- inflammatory response
- diabetic retinopathy
- artificial intelligence
- genome wide
- toll like receptor
- gram negative
- randomized controlled trial
- cancer therapy
- deep learning
- gene expression
- case control
- genome wide identification
- immune response
- multidrug resistant