Serum protein profile analysis via label-free quantitation proteomics in patients with early-onset preeclampsia.

Serum protein profile analysis via label-free quantitation proteomics in patients with early-onset preeclampsia.

Ji, Qinghong;Zhang, Shulin;Jiang, Wen;Wang, Jue;Luan, Yun;Xin, Qian;
Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology 2023 Vol. 43 pp. 2259982
51
ji2023serumjournal

Abstract

Preeclampsia (PE) is a serious pregnancy complication, resulting in potentially life-threatening conditions for both mother and foetus. It is worth noting that early-onset PE has become a great challenge for clinicians due to its complex manifestation, rapid progression and serious complications. This study aims to investigate differential serum proteome profiles in patients with early-onset PE.Each serum sample was separated using a nanoliter flow rate Easy-nLC chromatography system. Then the samples were analysed by mass spectrometry. Bioinformatics analyses were conducted to analyse the functional categories or signal transduction pathways for differentially abundant proteins. Key proteins identified by mass spectrometry were verified by ELISA.We found 30 and 34 proteins were upregulated and downregulated in early-onset PE patients ( = 3) vs controls ( = 3), respectively. Functional enrichment analysis revealed differentially expressed proteins related to the immune response and regulation of peptidase activity. ELISA confirmed that there were lower CSH1 levels and higher LPA concentrations in the serum samples of early-onset PE patients (n = 22) than in healthy controls ( = 19) ( < 0.05 for CSH1 and  < 0.001 for LPA).This study revealed the critical features of serum proteins in early-onset PE patients. LPA and CSH1 may serve as biomarkers for early-onset PE diagnosis and therapy.

Citation

ID: 277028
Ref Key: ji2023serumjournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
277028
Unique Identifier:
10.1080/01443615.2023.2259982
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet