Proteomic identification of biomarkers in maternal plasma that predict the outcome of rescue cerclage for cervical insufficiency

OBJECTIVE: We sought to identify plasma protein biomarkers that are predictive of the outcome of rescue cerclage in patients with cervical insufficiency.

METHODS: This retrospective cohort study included 39 singleton pregnant women undergoing rescue cerclage for cervical insufficiency (17-25 weeks) who gave plasma samples. Three sets of pooled plasma samples from controls (cerclage success, n = 10) and cases (cerclage failure, n = 10, defined as spontaneous preterm delivery at <33 weeks) were labeled with 6-plex tandem mass tag (TMT) reagents and analyzed by liquid chromatography-tandem mass spectrometry. Differentially expressed proteins between the two groups were selected from the TMT-based quantitative analysis. Multiple reaction monitoring-mass spectrometry (MRM-MS) analysis was further used to verify the candidate proteins of interest in patients with cervical insufficiency in the final cohort (n = 39).

RESULTS: From MRM-MS analysis of the 40 proteins showing statistically significant changes (P < 0.05) from the TMT-based quantitative analysis, plasma IGFBP-2, PSG4, and PGLYRP2 levels were found to be significantly increased, whereas plasma MET and LXN levels were significantly decreased in women with cerclage failure. Of these, IGFBP-2, PSG4, and LXN levels in plasma were independent of cervical dilatation. A multiple-biomarker panel was developed for the prediction of cerclage failure, using a stepwise regression procedure, which included the plasma IGFBP-2, PSG4, and LXN (area under the curve [AUC] = 0.916). The AUC for this multiple-biomarker panel was significantly greater than the AUC for any single biomarker included in the multi-biomarker model.

CONCLUSIONS: Proteomic analysis identified useful and independent plasma biomarkers (IGFBP-2, PSG4, and LXN; verified by MRM) that predict poor pregnancy outcome following rescue cerclage. Their combined analysis in a multi-biomarker panel significantly improved predictability.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

PloS one - 16(2021), 4 vom: 15., Seite e0250031

Sprache:

Englisch

Beteiligte Personen:

Dan, Kisoon [VerfasserIn]
Lee, Ji Eun [VerfasserIn]
Han, Dohyun [VerfasserIn]
Kim, Sun Min [VerfasserIn]
Hong, Subeen [VerfasserIn]
Kim, Hyeon Ji [VerfasserIn]
Park, Kyo Hoon [VerfasserIn]

Links:

Volltext

Themen:

67763-97-7
Biomarkers
Carrier Proteins
EC 2.7.10.1
Insulin-Like Growth Factor II
Journal Article
Lxn protein, human
MET protein, human
Nerve Tissue Proteins
PSG4 protein, human
Peptidoglycan recognition protein
Pregnancy-Specific beta 1-Glycoproteins
Proto-Oncogene Proteins c-met
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 24.09.2021

Date Revised 24.09.2021

published: Electronic-eCollection

Citation Status MEDLINE

doi:

10.1371/journal.pone.0250031

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM324120206