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Li G, Huang S, Liu X, Du Q. Potential biomarkers and molecular mechanisms in preeclampsia progression. Open Life Sci 2022; 17:529-543. [PMID: 35647297 PMCID: PMC9123303 DOI: 10.1515/biol-2022-0053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 01/11/2022] [Accepted: 01/21/2022] [Indexed: 11/15/2022] Open
Abstract
Abstract
This study aimed to explore potential biomarkers and molecular mechanisms in preeclampsia (PE) progression. Gene expression profiles of GSE147776 and GSE96984 were downloaded, followed by the identification of common differentially expressed genes (co-DEGs) and common differentially expressed lncRNAs (co-DElncRNAs) in PE patients between the two datasets. Key genes were identified using gene set enrichment analysis (GSEA), followed by functional enrichment analyses. Subsequently, the miRNAs of key genes and miRNA-related lncRNAs were predicted, followed by the construction of the lncRNA–miRNA–gene ceRNA network. Furthermore, the key genes associated with different gestational stages were identified. As a result, 192 co-DEGs and 16 co-DElncRNAs were revealed from the two datasets. Based on two outstanding PE-associated pathways, including glaucoma and PE, identified by GSEA, ten key genes, including IGFBP1, CORIN, and C3, were revealed. Key genes, including IL1A and IL1B, were enriched in the developmental process involved in reproduction. Furthermore, ceRNAs, such as LINC00473-miR-4476-IL1A, LINC00473-miR-1291-IL1B, and NAV2-AS4-miR-6131-REN, were identified. Moreover, REN expression was significantly upregulated in the first- and second-trimester placentae compared to C-section-term placentae. In conclusion, these key genes may serve as novel biomarkers for PE. The detection of REN expression may help in the early prediction of PE and the initiation of prophylactic medical treatment.
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Affiliation(s)
- Guohua Li
- Department of Reproductive Immunology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University , Shanghai , 200092 , China
| | - Shijia Huang
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University , Shanghai , 200092 , China
| | - Xiaosong Liu
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University , Shanghai , 200092 , China
| | - Qiaoling Du
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University , Shanghai , 200092 , China
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Katz TA. Potential Mechanisms underlying the Protective Effect of Pregnancy against Breast Cancer: A Focus on the IGF Pathway. Front Oncol 2016; 6:228. [PMID: 27833901 PMCID: PMC5080290 DOI: 10.3389/fonc.2016.00228] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2016] [Accepted: 10/11/2016] [Indexed: 01/21/2023] Open
Abstract
A first full-term birth at an early age protects women against breast cancer by reducing lifetime risk by up to 50%. The underlying mechanism resulting in this protective effect remains unclear, but many avenues have been investigated, including lobular differentiation, cell fate, and stromal composition. A single pregnancy at an early age protects women for 30-40 years, and this long-term protection is likely regulated by a relatively stable yet still modifiable method, such as epigenetic reprograming. Long-lasting epigenetic modifications have been shown to be induced by pregnancy and to target the IGF pathway. Understanding how an early first full-term pregnancy protects against breast cancer and the role of epigenetic reprograming of the IGF system may aid in developing new preventative strategies for young healthy women in the future.
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Affiliation(s)
- Tiffany A Katz
- Center for Precision Environmental Health, Baylor College of Medicine , Houston, TX , USA
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