Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics
Objective: To screen for novel predictive serum markers of preeclampsia (PE). Method: Blood samples were collected from seven women with PE and five with healthy pregnancies. Serum proteins were identified using isobaric tags for relative and absolute quantitation (iTRAQ) technology combined with li...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2019-07-01
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| Series: | Hypertension in Pregnancy |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10641955.2019.1640246 |
| _version_ | 1827814501309743104 |
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| author | Yuee Ling Jie Su Jie Lin Sumei Wang |
| author_facet | Yuee Ling Jie Su Jie Lin Sumei Wang |
| author_sort | Yuee Ling |
| collection | DOAJ |
| description | Objective: To screen for novel predictive serum markers of preeclampsia (PE). Method: Blood samples were collected from seven women with PE and five with healthy pregnancies. Serum proteins were identified using isobaric tags for relative and absolute quantitation (iTRAQ) technology combined with liquid chromatography mass spectrometry analysis. The differentially expressed proteins in the PE samples were identified using the SwissProt database, and functionally annotated by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The upregulated proteins from iTRAQ result were verified by ELISA. Results: We identified 121 differentially expressed proteins, of which 76 were upregulated and 45 were downregulated, and 14 were differentially expressed by more than two-folds. The top GO terms for Cellular Components (CC) were high-density lipoprotein particles and plasma lipoprotein particles, defense response for Biological Processes (BP), and glycosaminoglycan binding, heparin binding and sulfur compound for Molecular functions (MF). The pathway hsa04979 for Cholesterol metabolism was significantly enriched among the upregulated proteins, while the structural domain was enriched in immunoglobulin subtype 2. The dysregulation of pregnancy-specific beta-1-glycoprotein 2 (PSG2) was confirmed by ELISA. Conclusion: PE pathogenesis is related to lipid metabolism and inflammation, and proteins related to these pathways are potential early diagnostic markers for PE.PSG2 may be a marker of PE. |
| first_indexed | 2024-03-11T23:47:02Z |
| format | Article |
| id | doaj.art-64941e226df34e0d90419134fdee8e1d |
| institution | Directory Open Access Journal |
| issn | 1064-1955 1525-6065 |
| language | English |
| last_indexed | 2024-03-11T23:47:02Z |
| publishDate | 2019-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Hypertension in Pregnancy |
| spelling | doaj.art-64941e226df34e0d90419134fdee8e1d2023-09-19T09:24:43ZengTaylor & Francis GroupHypertension in Pregnancy1064-19551525-60652019-07-0138318419210.1080/10641955.2019.16402461640246Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformaticsYuee Ling0Jie Su1Jie Lin2Sumei Wang3The First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityObjective: To screen for novel predictive serum markers of preeclampsia (PE). Method: Blood samples were collected from seven women with PE and five with healthy pregnancies. Serum proteins were identified using isobaric tags for relative and absolute quantitation (iTRAQ) technology combined with liquid chromatography mass spectrometry analysis. The differentially expressed proteins in the PE samples were identified using the SwissProt database, and functionally annotated by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The upregulated proteins from iTRAQ result were verified by ELISA. Results: We identified 121 differentially expressed proteins, of which 76 were upregulated and 45 were downregulated, and 14 were differentially expressed by more than two-folds. The top GO terms for Cellular Components (CC) were high-density lipoprotein particles and plasma lipoprotein particles, defense response for Biological Processes (BP), and glycosaminoglycan binding, heparin binding and sulfur compound for Molecular functions (MF). The pathway hsa04979 for Cholesterol metabolism was significantly enriched among the upregulated proteins, while the structural domain was enriched in immunoglobulin subtype 2. The dysregulation of pregnancy-specific beta-1-glycoprotein 2 (PSG2) was confirmed by ELISA. Conclusion: PE pathogenesis is related to lipid metabolism and inflammation, and proteins related to these pathways are potential early diagnostic markers for PE.PSG2 may be a marker of PE.http://dx.doi.org/10.1080/10641955.2019.1640246preeclampsiahypertensionitraqprediction |
| spellingShingle | Yuee Ling Jie Su Jie Lin Sumei Wang Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics Hypertension in Pregnancy preeclampsia hypertension itraq prediction |
| title | Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics |
| title_full | Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics |
| title_fullStr | Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics |
| title_full_unstemmed | Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics |
| title_short | Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics |
| title_sort | screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics |
| topic | preeclampsia hypertension itraq prediction |
| url | http://dx.doi.org/10.1080/10641955.2019.1640246 |
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