Gene Expression Network Analysis Identifies Potential Targets for Prevention of Preeclampsia.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35140505", "kind": "science-record", "revision": 4, "content_hash": "sha256:fce63c446e16fe0a96ca5eb4b494e9d7374ad51c957a976d3c6d2ff030ad9557", "created_at": "2026-11-01T17:36:53Z", "updated_at": "2026-11-01T22:05:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Gene Expression Network Analysis Identifies Potential Targets for Prevention of Preeclampsia.", "doi": "10.2147/IJGM.S348175", "pmid": "35140505", "authors": ["Yu Xia", "Yu-Dong Zhao", "Gui-Xiang Sun", "Shuai-Shuai Xia", "Zheng-Wang Yang"], "journal": "International journal of general medicine", "year": 2022, "abstract": "OBJECTIVE: Preeclampsia (PE) is a pregnancy-specific multisystem disease as well as an important cause of maternal and perinatal death. This study aimed to analyze the placental transcriptional data and clinical information of PE patients available in the published database and predict the target genes for prevention of PE.\nMETHODS: The clinical information and corresponding RNA data of PE patients were downloaded from the GEO database. Cluster analysis was performed to examine the correlation between different genotyping genes and clinical manifestations. Then, bioinformatic approaches including GO, KEGG, WGCNA, and GSEA were employed to functionally characterize candidate target genes involved in pathogenesis of PE.\nRESULTS: Two PE datasets GSE60438 and GSE75010 were obtained and combined, thereby providing the data of 205 samples in total (100 non-PE and 105 PE samples). After eliminating the batch effect, we grouped and analyzed the integrated data, and further performed GSEA analysis. It was found that the genes in group 1 and group 2 were different from those in normal samples. Moreover, WGCNA analysis revealed that genes in group 1 were up-regulated in turquoise module, including SASH1, PIK3CB and FLT-1, while genes in group 2 were up-regulated in the blue and brown modules. We further conducted GO and KEGG pathway enrichment analyses and found that the differential genes in turquoise module were mainly involved in biological processes such as small molecular catabolic process, while being highly enriched in pathways, including MAPK signaling pathway and Rap1 signaling pathway.\nCONCLUSION: FLT-1 was conventionally used to predict PE risk, and sFLT-1 could also be used as an indicator to evaluate PE treatment effect. As a candidate biomarker for predicting PE, SASH1 may participate in proliferation, migration, invasion and epithelial mesenchymal transformation of human trophoblast cells by regulating MAPK pathway and Rap1 signaling pathway, thus affecting the progression of PE. The mechanism allowing PIK3CB to regulate PE development was not clear, while the gene could be another candidate biomarker for PE risk prediction. This is an exploratory study and our findings were still required verification in further studies.", "claims": [{"id": "claim-method", "statement": "R “WGCNA” package was used to calculate the threshold (optimal weight) of the co-expressive gene correlation network.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35140505", "locator": "sections[5] \"GSEA and WGCNA\" paragraph 2", "quote": "R “WGCNA” package was used to calculate the threshold (optimal weight) of the co-expressive gene correlation network."}], "state": "complete"}, {"id": "claim-data-access", "statement": "According to the inclusion criteria, two PE chip datasets GSE60438 and GSE75010 were obtained from the GEO database and included in this study.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35140505", "locator": "sections[8] \"Data Inclusion and Processing\" paragraph 2", "quote": "According to the inclusion criteria, two PE chip datasets GSE60438 and GSE75010 were obtained from the GEO database and included in this study."}], "state": "complete"}, {"id": "claim-target-result", "statement": "WGCNA analysis revealed that genes in group 1 were up-regulated in turquoise module, including SASH1, PIK3CB and FLT-1, while genes in group 2 were up-regulated in the blue and brown modules.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35140505", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "WGCNA analysis revealed that genes in group 1 were up-regulated in turquoise module, including SASH1, PIK3CB and FLT-1, while genes in group 2 were up-regulated in the blue and brown modules."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "WGCNA analysis revealed that genes in group 1 were up-regulated in turquoise module, including SASH1, PIK3CB and FLT-1, while genes in group 2 were up-regulated in the blue and brown modules.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35140505"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE60438"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE60438"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35140505", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/IJGM.S348175", "sha256": 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