Dataset Information

Analysis of plasma proteome of pregnant women with polycystic ovary syndrome (PCOS

ABSTRACT: Polycystic ovary syndrome (PCOS) is the most common endocrinological disorder of fertile-aged women. PCOS has been associated with adverse pregnancy outcomes and abnormalities of the placenta. By taking a quantitative label-free quantitative proteomics approach we set out to investigate if changes in the plasma proteome of pregnant women with PCOS could elucidate the mechanisms behind the pathologies observed in PCOS pregnancies. We have performed label-free quantitative proteomics on plasma samples from pregnant women with PCOS at term (n=14) and plasma samples from pregnant control women (n = 23) matched for age, gestational length and BMI. The samples are derived from BASIC pregnancy cohort from Uppsala, Sweden. A total of 169 proteins with two or more unique peptides were identified.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Polycystic Ovary Syndrome

SUBMITTER: Sakari Joenväärä

LAB HEAD: Terhi T. Piltonen

PROVIDER: PXD012034 | Pride | 2019-11-25

REPOSITORIES: Pride

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Publications

Thromboinflammatory changes in plasma proteome of pregnant women with PCOS detected by quantitative label-free proteomics.

Arffman R K RK Saraswat M M Joenväärä S S Khatun M M Agarwal R R Tohmola T T Sundström-Poromaa I I Renkonen R R Piltonen T T TT

Scientific reports 20191126 1

Polycystic ovary syndrome (PCOS) is the most common endocrinological disorder of fertile-aged women. Several adverse pregnancy outcomes and abnormalities of the placenta have been associated with PCOS. By using quantitative label-free proteomics we investigated whether changes in the plasma proteome of pregnant women with PCOS could elucidate the mechanisms behind the pathologies observed in PCOS pregnancies. A total of 169 proteins with ≥2 unique peptides were detected to be differentially expr ...[more]

PMID: 31772271

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Project description:Low fertility remains a leading cause of poor productivity in dairy cattle. In this context, there is significant interest in developing novel tools for accurate early diagnosis of pregnancy. MicroRNAs (miRNAs) are short RNA molecules which are critically involved in regulating gene expression during both health and disease. MiRNAs have been shown to regulate ovarian function, uterine receptivity, embryonic development and placental function. Circulating miRNAs can provide useful biomarkers of tissue function and disease; importantly, differential miRNA profiles have been linked to pregnancy and preeclampsia in humans. This study sought to establish the potential of circulating miRNAs as biomarkers of early pregnancy in cattle. We applied Illumina small-RNA sequencing to profile miRNAs in plasma samples collected from eight non-pregnant heifers on Days 0, 8 and 16 of the oestrous cycle and 11 heifers on Days 16 and 24 of pregnancy. We sequenced a total of 46 samples and generated 9.2 million miRNA reads per sample. There were no differences in miRNA read abundance between any of the pregnant and non-pregnant time-points (FDRâ>â0.1). As a complementary approach, we analysed sample pools (3-4 samples/pool) corresponding to Days 0, 8 and 16 of the oestrous cycle and Day 24 of pregnancy (nâ=â3 pools/group) using Qiagen PCR arrays. A total of 16 miRNAs were differentially expressed (FDRâ<â0.1) in plasma between pregnant and non-pregnant animals. RT-qPCR validation using the same plasma samples confirmed that miR-26a was differentially upregulated on Day 16 pregnant relative to non-pregnant heifers (1.7-fold; Pâ=â0.043), whereas miR-1249 tended to be upregulated in Day 16 pregnant heifers (1.6-fold; Pâ=â0.081). Further validation in an independent group of heifers confirmed an increase in plasma miR-26a levels during early pregnancy, which was significant only on Day 24 (2.0-fold; Pâ=â0.027). Through genome-wide analyses we have successfully profiled plasma miRNA populations associated with early pregnancy in cattle. We have identified miR-26a as a potential circulating biomarker of early pregnancy. Sequencing of three sequencial samples from each of eight cycling animals (Days 0, 8 and 16, total 24 samples) and two samples from each of 11 pregnant animals (Days 16 and 24, total 22 samples). Main comparisons were between non-pregnant and pregnant groups

Dataset Information

Analysis of plasma proteome of pregnant women with polycystic ovary syndrome (PCOS

Publications

Thromboinflammatory changes in plasma proteome of pregnant women with PCOS detected by quantitative label-free proteomics.

Similar Datasets

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