ArticleFrontiers in immunology2022
Inflammation in Preeclampsia: Genetic Biomarkers, Mechanisms, and Therapeutic Strategies.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 4 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
82 citing papers in PubMed, 4 syntheses or guidelines pooled it, 189 citations in OpenAlex.
- Epigenetic alterations in preeclampsia: a systematic review of current mechanisms and biomarker potential.Journal of medicine and life · 2026Pooled it
- Cross-ancestry genome-wide association study identifies new susceptibility genes for preeclampsia.BMC pregnancy and childbirth · 2025Pooled it
- Glycosylated fibronectin in preeclampsia: a systematic review and meta-analysis.BMC pregnancy and childbirth · 2025Pooled it
- Association between high-mobility group box 1 levels and preeclampsia: a systematic review and meta-analysis.Journal of assisted reproduction and genetics · 2024Pooled it
- The association between air pollution and hypertension: An umbrella review of systematic reviews and meta-analyses.iScience · 2026Article
- Kaempferol inhibited pyroptosis in preeclampsia by modulating the NLRP3 inflammasome through the STAT3-associated mitophagy pathway.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- The Ghrelin/GHSR-1a Axis Attenuates Preeclampsia-like Features with Decidual Macrophage Reprogramming and Improved Placental Remodeling.Biomolecules · 2026Article
- Systemic Immune-Inflammation Index as a Predictive Biomarker for Pre-Eclampsia.Journal of clinical medicine · 2026Review
- Integrating single-cell RNA and bulk RNA sequencing data to identify prognostic genes associated with pyrimidine metabolism in triple-negative breast cancer by machine learning algorithm combinations.Discover oncology · 2026Article
- TyHGB as a predictive marker for preeclampsia: association with increased risk in pregnant women with normal glucose tolerance.Lipids in health and disease · 2026Article
- Transcription factor IRF1 modulates HDAC1 and PANoptosis to regulate preeclampsia progression.Biology direct · 2026Article
- Placental dysfunction, inflammation, and impaired autophagy in preeclampsia: A pathophysiological link to autism spectrum disorder.Metabolic brain disease · 2026Review
- Interplay Among Endothelial Dysfunction, NLRP3 Pathway Activation, and microRNAs in the Pathogenesis of Preeclampsia.Diseases (Basel, Switzerland) · 2026Review
- Placental Steroid Hormones in Preeclampsia: Multilayered Regulation of Endocrine Pathogenesis.Endocrine reviews · 2026Review
- Aberrant Uteroplacental and Vascular Signaling and Remodeling by Matrix Metalloproteinases in Pregnancy-Related Hypertension and Preeclampsia.Biomolecules · 2026Review
- Protein networks are influenced by maternal BMI and differentiate preterm birth types.Communications medicine · 2026Article
- Serum autoantibody panel as a novel predictor for preeclampsia: a nested case-control study.BMC pregnancy and childbirth · 2026Article
- Immune regulation and lymphangiogenesis by lymphatic endothelial cells in the decidua in severe preeclampsia.Scientific reports · 2026Article
- Integrated stress response genes as novel biomarkers and therapeutic targets in ankylosing spondylitis: a transcriptomic and Mendelian randomization study.Frontiers in immunology · 2026Article
- Predictive Value of Inflammatory Indices for Preeclampsia and Adverse Perinatal Outcomes: A Retrospective Case-Control Study.International journal of women's health · 2026Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Preeclampsia is a common and serious complication of pregnancy, posing a threat to maternal and fetal safety due to the lack of effective biomarkers and treatment strategies. This study aimed to identify potential biomarkers that can be used to predict preeclampsia and identify the molecular mechanisms of preeclampsia pathogenesis and drug prediction at the transcriptome level. Methods: We analyzed differential expression genes (DEGs) in preeclampsia and non-preeclampsia groups in the GSE75010 dataset, cross-linking with extracted inflammatory response-related genes to obtain differentially expressed inflammation-related genes (DINRGs). Enrichment analysis and protein-protein interaction (PPI) networks were constructed to understand the functions and enrichment pathways. Machine learning models were used to identify key genes associated with preeclampsia and build a nomogram in the training set, which was validated in the validation set. The R package RcisTarget was used to predict transcription factors, and Cytoscape was used to construct miRNA-mRNA pathways, which could identify the molecular mechanisms. Then, we conducted molecular docking of the obtained key genes Results: A total of 69 DINRGs associated with preeclampsia patients were screened. Conclusion: In summary, we identified three key inflammation-associated genes, namely
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.