Proteomic profiling of human amnion for preterm birth biomarker discovery

Abstract Spontaneous preterm birth (PTB) complicates about 12% of pregnancies worldwide, remaining the main cause of neonatal morbidity and mortality. Spontaneous preterm birth PTBs is often caused by microbial-induced preterm labor, mediated by an inflammatory process threatening both maternal and...

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Autores principales:	Maurizio Bruschi, Martina Bartolucci, Andrea Petretto, Francesca Buffelli, Xhuliana Kajana, Alessandro Parodi, Riccardo Carbone, Ezio Fulcheri, Luca Antonio Ramenghi, Isabella Panfoli, Giovanni Candiano
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/25df53d5a3b84574a2c79aac7cebd7ce
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spelling	oai:doaj.org-article:25df53d5a3b84574a2c79aac7cebd7ce2021-12-05T12:15:06ZProteomic profiling of human amnion for preterm birth biomarker discovery10.1038/s41598-021-02587-32045-2322https://doaj.org/article/25df53d5a3b84574a2c79aac7cebd7ce2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02587-3https://doaj.org/toc/2045-2322Abstract Spontaneous preterm birth (PTB) complicates about 12% of pregnancies worldwide, remaining the main cause of neonatal morbidity and mortality. Spontaneous preterm birth PTBs is often caused by microbial-induced preterm labor, mediated by an inflammatory process threatening both maternal and newborn health. In search for novel predictive biomarkers of PTB and preterm prelabor rupture of the membranes (pPROM), and to improve understanding of infection related PTB, we performed an untargeted mass spectrometry discovery study on 51 bioptic mid zone amnion samples from premature babies. A total of 6352 proteins were identified. Bioinformatics analyses revealed a ranked core of 159 proteins maximizing the discrimination between the selected clinical stratification groups allowing to distinguish conditions of absent (FIR 0) from maximal Fetal Inflammatory Response (FIR 3) stratified in function of Maternal Inflammatory Response (MIR) grade. Matrix metallopeptidase-9 (MMP-9) was the top differentially expressed protein. Gene Ontology enrichment analysis of the core proteins showed significant changes in the biological pathways associated to inflammation and regulation of immune and infection response. Data suggest that the conditions determining PTB would be a transversal event, secondary to the maternal inflammatory response causing a breakdown in fetal-maternal tolerance, with fetal inflammation being more severe than maternal one. We also highlight matrix metallopeptidase-9 as a potential predictive biomarker of PTB that can be assayed in the maternal serum, for future investigation.Maurizio BruschiMartina BartolucciAndrea PetrettoFrancesca BuffelliXhuliana KajanaAlessandro ParodiRiccardo CarboneEzio FulcheriLuca Antonio RamenghiIsabella PanfoliGiovanni CandianoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Maurizio Bruschi Martina Bartolucci Andrea Petretto Francesca Buffelli Xhuliana Kajana Alessandro Parodi Riccardo Carbone Ezio Fulcheri Luca Antonio Ramenghi Isabella Panfoli Giovanni Candiano Proteomic profiling of human amnion for preterm birth biomarker discovery
description	Abstract Spontaneous preterm birth (PTB) complicates about 12% of pregnancies worldwide, remaining the main cause of neonatal morbidity and mortality. Spontaneous preterm birth PTBs is often caused by microbial-induced preterm labor, mediated by an inflammatory process threatening both maternal and newborn health. In search for novel predictive biomarkers of PTB and preterm prelabor rupture of the membranes (pPROM), and to improve understanding of infection related PTB, we performed an untargeted mass spectrometry discovery study on 51 bioptic mid zone amnion samples from premature babies. A total of 6352 proteins were identified. Bioinformatics analyses revealed a ranked core of 159 proteins maximizing the discrimination between the selected clinical stratification groups allowing to distinguish conditions of absent (FIR 0) from maximal Fetal Inflammatory Response (FIR 3) stratified in function of Maternal Inflammatory Response (MIR) grade. Matrix metallopeptidase-9 (MMP-9) was the top differentially expressed protein. Gene Ontology enrichment analysis of the core proteins showed significant changes in the biological pathways associated to inflammation and regulation of immune and infection response. Data suggest that the conditions determining PTB would be a transversal event, secondary to the maternal inflammatory response causing a breakdown in fetal-maternal tolerance, with fetal inflammation being more severe than maternal one. We also highlight matrix metallopeptidase-9 as a potential predictive biomarker of PTB that can be assayed in the maternal serum, for future investigation.
format	article
author	Maurizio Bruschi Martina Bartolucci Andrea Petretto Francesca Buffelli Xhuliana Kajana Alessandro Parodi Riccardo Carbone Ezio Fulcheri Luca Antonio Ramenghi Isabella Panfoli Giovanni Candiano
author_facet	Maurizio Bruschi Martina Bartolucci Andrea Petretto Francesca Buffelli Xhuliana Kajana Alessandro Parodi Riccardo Carbone Ezio Fulcheri Luca Antonio Ramenghi Isabella Panfoli Giovanni Candiano
author_sort	Maurizio Bruschi
title	Proteomic profiling of human amnion for preterm birth biomarker discovery
title_short	Proteomic profiling of human amnion for preterm birth biomarker discovery
title_full	Proteomic profiling of human amnion for preterm birth biomarker discovery
title_fullStr	Proteomic profiling of human amnion for preterm birth biomarker discovery
title_full_unstemmed	Proteomic profiling of human amnion for preterm birth biomarker discovery
title_sort	proteomic profiling of human amnion for preterm birth biomarker discovery
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/25df53d5a3b84574a2c79aac7cebd7ce
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Proteomic profiling of human amnion for preterm birth biomarker discovery

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