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Related Concept Videos

Composition of Blood Plasma01:24

Composition of Blood Plasma

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Blood plasma is a fluid that contains approximately 92% water and 8% solutes. The solutes include various types of proteins, which constitute about 7% of the total solutes in the plasma. The high-molecular-weight proteins—albumins, globulins, and fibrinogen—are essential to plasma function. Albumins, making up about 60% of the plasma proteins, maintain the osmotic balance within blood vessels by preventing excessive water leakage. Additionally, albumins serve as carrier proteins,...
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Transcytosis is the process in which molecules are internalized by endocytosis, transported across the cell, and released through exocytosis from the opposite end of the cell. Molecules such as insulin, immunoglobulins, and certain nutrients are transferred through the recycling endosomes by recycling and transcytosis.
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Human Plasma Proteome During Normal Pregnancy.

Adi L Tarca1,2,3, Roberto Romero1,4,5,6,7, Gaurav Bhatti1,2

  • 1Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, and, Detroit, Michigan48201, United States.

Journal of Proteome Research
|September 26, 2022
PubMed
Summary
This summary is machine-generated.

This study profiles the human plasma proteome during pregnancy, revealing dynamic changes linked to gestational age and placental development. These findings offer a new non-invasive method for monitoring pregnancy health and predicting obstetrical outcomes.

Keywords:
aptamerbiomarkermachine learningproteomic standardssingle-cell RNA signature

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Area of Science:

  • Proteomics
  • Maternal-Fetal Medicine
  • Biochemistry

Background:

  • The human plasma proteome remains underexplored for health and disease monitoring.
  • Pregnancy involves complex physiological changes impacting maternal and fetal health.

Purpose of the Study:

  • To profile the plasma proteome in normal pregnancies using an aptamer-based platform.
  • To identify proteomic changes associated with gestational age and placental development.
  • To assess the potential of plasma proteomic data for predicting pregnancy outcomes.

Main Methods:

  • Aptamer-based proteomic profiling of 7288 proteins in 528 plasma samples from 91 pregnancies.
  • Analysis of protein abundance changes relative to gestational age.
  • Machine learning models for predicting gestational age and time to delivery.

Main Results:

  • High analytical reproducibility (CV <20% for 93% of analytes).
  • Identification of 953 proteins modulated by gestational age, enriched in growth, angiogenesis, immunity, and inflammation pathways.
  • Machine learning prediction of gestational age and delivery time comparable to transcriptomic models.

Conclusions:

  • The plasma proteome provides a non-invasive readout of placental cellular dynamics throughout gestation.
  • Proteomic profiling during pregnancy can serve as a blueprint for investigating obstetrical diseases.
  • This approach holds promise for improved monitoring and prediction of pregnancy complications.