Dynamic Alteration in the Vaginal Secretory Proteome across the Early and Mid-Trimesters of Pregnancy.
Bhoj KumarAmit Kumar DeySandhini SahaAbhishek Kumar SinghPallavi KshetrapalNitya WadhwaRamachandran ThiruvengadamBapu Koundinya DesirajuShinjini BhatnagarDinakar M SalunkeFaraz RashidDipankar MalakarTushar Kanti Maitinull nullPublished in: Journal of proteome research (2021)
Pregnancy is characterized by intense physiological and structural alterations in the vagina, cervix, and overlying fetal membranes. High vaginal fluid (HVF) is a proximal fluid that covers the lower part of the female reproductive system and the severity of vaginal pathology often adversely affects pregnancy outcomes. To identify the correlation of vaginal fluid proteome dynamics and physiological changes during the progression of pregnancy, a longitudinal study was performed on 20 pregnant women who delivered a baby in >37 weeks without any complications. SWATH-MS-based label-free quantitative proteomics was performed to profile the HVF proteome at three time points defined as V1 (7-12 weeks), V2 (18-20 weeks), and V3 (26-28 weeks). Linear mixed-effect models were used to estimate protein abundance as a function of the period of gestational age. In this study, we identified 1015 HVF proteins and 61 of them were significantly altered until late second trimester. Our result demonstrates that the HVF proteins reveal gestational age-specific expression patterns and the function of these proteins is associated with tissue remodeling, organ development, and microbial defense. Our study provides an opportunity to monitor the underlying physiology of pregnancy that may be further probed for the biomarker identification in pregnancy-related adverse outcomes. Data are available via ProteomeXchange with identifiers PXD014846 and PXD021811.
Keyphrases
- gestational age
- preterm birth
- pregnancy outcomes
- birth weight
- pregnant women
- label free
- mass spectrometry
- poor prognosis
- multiple sclerosis
- long non coding rna
- binding protein
- gene expression
- electronic health record
- genome wide
- small molecule
- wastewater treatment
- microbial community
- risk factors
- dna methylation
- artificial intelligence