A Potential Three-Gene-Based Diagnostic Signature for Hypertension in Pregnancy

Liu, Yan; Li, Xiqing; Zhao, Lin

doi:10.2147/ijgm.s331573

Cited by 3 publications

(2 citation statements)

References 47 publications

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“…We analyzed the gene expression profiles of placenta samples between preeclampsia and controls, and 57 differentially expressed genes were identified. Consistent with published data, the results of enrichment of these DEGs confirm their involvement in the development of preeclampsia, such as HIF1-signaling pathway, MAPK signaling pathway, cytokine-cytokine receptor interaction, which suggest that Inflammation and oxidative stress is important in preeclampsia [ 22 , 23 ]. It has been widely accepted that Inflammation and oxidative stress are vital processes concerned with placental ischemia and hypoxia in the development of preeclampsia, and part of genes in HIF1-signaling pathway are closely related to inflammation and oxidative stress.…”

Section: Discussionsupporting

confidence: 88%

Diagnostic signature composed of seven genes in HIF-1 signaling pathway for preeclampsia

Yang

Ding

et al. 2023

BMC Pregnancy Childbirth

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Purpose In this study, we explored the relationship of genes in HIF-1 signaling pathway with preeclampsia and establish a logistic regression model for diagnose preeclampsia using bioinformatics analysis. Method Two microarray datasets GSE75010 and GSE35574 were downloaded from the Gene Expression Omnibus database, which was using for differential expression analysis. DEGs were performed the Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and Gene set enrichment analysis (GSEA). Then we performed unsupervised consensus clustering analysis using genes in HIF-1 signaling pathway, and clinical features and immune cell infiltration were compared between these clusters, as well as the least absolute shrinkage and selection operator (LASSO) method to screened out key genes to constructed logistic regression model, and receiver operating characteristic (ROC) curve was plotted to evaluate the accuracy of the model. Results 57 DEGs were identified, of which GO, KEGG and analysis GSEA showed DEGs were mostly involved in HIF-1 signaling pathway. Two subtypes were identified of preeclampsia and 7 genes in HIF1-signaling pathway were screened out to establish the logistic regression model for discrimination preeclampsia from controls, of which the AUC are 0.923 and 0.845 in training and validation datasets respectively. Conclusion Seven genes (including MKNK1, ARNT, FLT1, SERPINE1, ENO3, LDHA, BCL2) were screen out to build potential diagnostic model of preeclampsia.

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Section: Discussionsupporting

confidence: 88%

Diagnostic signature composed of seven genes in HIF-1 signaling pathway for preeclampsia

Yang

Ding

et al. 2023

BMC Pregnancy Childbirth

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“…Several studies have shown that the increased levels of IGFBP1 expression facilitate the differentiation of endometrial stromal cells and have an important role in the establishment of pregnancy [ 27 , 28 ]. In addition, it allows the genetic diagnosis of hypertension in pregnancy [ 29 ]. ADCY8 is a member of the adenylate cyclase family and constitutes only a minor adenylated cyclic glucosyl methyl ether [ 30 , 31 ].…”

Section: Discussionmentioning

confidence: 99%

Transcriptome Analysis of the Ovaries of Taihe Black-Bone Silky Fowls at Different Egg-Laying Stages

Xiang

Huang

Wang³

et al. 2022

Genes

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The poor egg-laying performance and short peak egg-laying period restrict the economic benefits of enterprises relating to the Taihe black-bone silky fowl. Ovaries are the main organ for egg production in poultry. Unlike that of mammals, the spawning mechanism of poultry has rarely been reported. As a prominent local breed in China, the reproductive performance of Taihe black-bone silky fowls is in urgent need of development and exploitation. To further explore the egg-laying regulation mechanism in the different periods of Taihe black-bone silky fowls, the ovarian tissues from 12 chickens were randomly selected for transcriptome analysis, and 4 chickens in each of the three periods (i.e., the pre-laying period (102 days old, Pre), peak laying period (203 days old, Peak), and late laying period (394 days old, Late)). A total of 12 gene libraries were constructed, and a total of 9897 differential expression genes (DEGs) were identified from three comparisons; the late vs. peak stage had 509 DEGs, the pre vs. late stage had 5467 DEGs, and the pre vs. peak stage had 3921 DEGs (pre-stage: pre-egg-laying period (102 days old), peak-stage: peak egg-laying period (203 days old), and late-stage: late egg-laying period (394 days old)). In each of the two comparisons, 174, 84, and 2752 differentially co-expressed genes were obtained, respectively, and 43 differentially co-expressed genes were obtained in the three comparisons. Through the analysis of the differential genes, we identified some important genes and pathways that would affect reproductive performance and ovarian development. The differential genes were LPAR3, AvBD1, SMOC1, IGFBP1, ADCY8, GDF9, PTK2B, PGR, and CD44, and the important signaling pathways included proteolysis, extracellular matrices, vascular smooth muscle contraction, the NOD-like receptor signaling pathway and the phagosome. Through the analysis of the FPKM (Fragments Per Kilobase of exon model per Million mapped fragments) values of the genes, we screened three peak egg-laying period-specific expressed genes: IHH, INHA, and CYP19A1. The twelve genes and five signaling pathways mentioned above have rarely been reported in poultry ovary studies, and our study provides a scientific basis for the improvement of the reproductive performance in Taihe black-bone silky fowls.

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Integration of LC-LTQ-Orbitrap-MS and Network Pharmacology to Analyze the Active Components of Sijunzi Decoction and their Mechanism of Action Against Cytotoxicity-associated Premature Ovarian Insufficiency

Chen¹,

Han

et al. 2023

CCHTS

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Introduction: Sijunzi Decoction (SJZD) is a classical prescription in traditional Chinese medicine that enhances neuroimmune endocrine function to alleviate inflammatory aging, a key pathogenic mechanism underlying premature ovarian insufficiency (POI). However, the mechanism through which SJZD alleviates POI remains unknown. Hence, we aimed to identify the active components of SJZD and its mechanism of therapeutic action against POI. Methods: We identified compounds in SJZD using liquid chromatography-linear trap quadrupole-Orbitrap-mass spectrometry (LC-LTQ-Orbitrap-MS) and the TCMSP, HERB, Swiss, SEA, and STRING databases. We analyzed Gene Ontology (GO) terms and enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways using RStudio and constructed a visual network using Cytoscape. Results: We identified 98 compounds using LC-LTQ-Orbitrap-MS, among which 29 were bioactive and screened using the databases. The screen yielded 151 predicted targets of these compounds that were associated with POI. The results of the GO and KEGG analyses showed that these compounds play key roles in cell growth, division, migration, and survival signaling pathways. Therefore, phosphatidylinositol 3-kinase (PI3K)/AKT, mitogen-activated protein kinase (MAPK), and epidermal growth factor receptor (EGFR) pathways might be closely associated with the pharmacological effects of SJZD on the pathological processes of POI. method: We identified compounds in SJZD using liquid chromatography-linear trap quadrupole-Orbitrap-mass spectrometry (LC-LTQ-Orbitrap-MS) and the TCMSP, HERB, Swiss, SEA, and STRING databases. We analyzed Gene Ontology (GO) terms and enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways using RStudio and constructed a visual network using Cytoscape. result: We identified 98 compounds using LC-LTQ-Orbitrap-MS, among which 29 were bioactive and screened using the databases. The screen yielded 151 predicted targets of these compounds that were associated with POI. The results of the GO and KEGG analyses showed that these compounds play key roles in cell growth, division, migration, and survival signaling pathways. Therefore, phosphatidylinositol 3-kinase (PI3K)/AKT, mitogen-activated protein kinase (MAPK), and epidermal growth factor receptor (EGFR) pathways might be closely associated with the pharmacological effects of SJZD on the pathological processes of POI. Conclusion: Our findings provide a scientific basis for rapidly analyzing bioactive compounds in SJZD and their pharmacological mechanisms.

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A Potential Three-Gene-Based Diagnostic Signature for Hypertension in Pregnancy

Cited by 3 publications

References 47 publications

Diagnostic signature composed of seven genes in HIF-1 signaling pathway for preeclampsia

Diagnostic signature composed of seven genes in HIF-1 signaling pathway for preeclampsia

Transcriptome Analysis of the Ovaries of Taihe Black-Bone Silky Fowls at Different Egg-Laying Stages

Integration of LC-LTQ-Orbitrap-MS and Network Pharmacology to Analyze the Active Components of Sijunzi Decoction and their Mechanism of Action Against Cytotoxicity-associated Premature Ovarian Insufficiency

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