Placenta autophagy is closely associated with preeclampsia.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36541903", "kind": "science-record", "revision": 4, "content_hash": "sha256:132f858ff3bf3bcc343d16e9987529edaa0082b3c66c48564fa1ff6b090e9857", "created_at": "2026-11-01T19:01:04Z", "updated_at": "2026-11-01T22:50:53Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Placenta autophagy is closely associated with preeclampsia.", "doi": "10.18632/aging.204436", "pmid": "36541903", "authors": ["Chaomei Li", "Wei Liu", "Qunxiu Lao", "Haiying Lu", "Yingting Zhao"], "journal": "Aging", "year": 2022, "abstract": "The pathogenesis of preeclampsia (PE) is complex and placental internal homeostasis is regulated by cellular autophagy. However, there are fewer studies related to the role of placental autophagy in the pathogenesis of PE. The GSE75010 and GSE10588 datasets were downloaded from the gene expression omnibus (GEO) database. In the GSE75010 (test cohort), 103 differentially expressed genes (DEGs) were screened using \"Limma\" package, and 281 PE characteristic genes were screened by weighted gene coexpression network analysis (WGCNA). Combined with the autophagy gene set, a total of 5 autophagy-related hub genes were obtained. Three biomarkers (HK2, PLOD2, and TREM1) were then further screened by random forest(RF) model and least absolute shrinkage and selection operator(LASSO) algorithm as diagnostic of PE. In the unsupervised consensus clustering analysis, HK2, PLOD2, and TREM1 may be synergistically involved in hypoxia-induced autophagy and hypoxia-inducible factor 1(HIF-1) signaling pathway to induce PE. In addition, we constructed and evaluated a nomogram model for PE diagnosis using these three key diagnostic biomarkers, and the results showed that the model had significantly excellent predictive power (AUC values of GSE75010 and GSE10588 datasets were 0.869 and 0.876, respectively). In terms of immune infiltration, a higher proportion of T cells CD8, and a lower proportion of Macrophages M2 were found in PE placentas compared to normal tissue, and high expression of HK2, PLOD2, and TREM1 were accompanied by low levels of Macrophages M2 infiltration. HK2, PLOD2, and TREM1 may be associated with the development of pre-eclampsia, and their mechanisms of action in preeclampsia need to be further investigated.", "claims": [{"id": "claim-method", "statement": "Finally, the “randomForest” package in R language and the least absolute shrinkage and selection operator (LASSO) logistic regression [16] were used to screen out the corresponding diagnostic genes and take the intersection to obtain the PE diagnostic biomarkers.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36541903", "locator": "sections[6] \"Diagnostic gene screening and diagnostic model construction\" paragraph 2", "quote": "Finally, the “randomForest” package in R language and the least absolute shrinkage and selection operator (LASSO) logistic regression [16] were used to screen out the corresponding diagnostic genes and take the intersection to obtain the PE diagnostic biomarkers."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used in this study were downloaded from the GSE75010 dataset [11] and the GSE10588 dataset [12]. The GSE75010 was used as the test cohort (including 80 PE placentas and 77 non-PE placentas) and the GSE10588 as the validation cohort (including 17 PE placentas and 26 non-PE placentas), as shown in Table 1.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36541903", "locator": "sections[3] \"Extraction of PE data based on GEO database\" paragraph 2", "quote": "The data used in this study were downloaded from the GSE75010 dataset [11] and the GSE10588 dataset [12]. The GSE75010 was used as the test cohort (including 80 PE placentas and 77 non-PE placentas) and the GSE10588 as the validation cohort (including 17 PE placentas and 26 non-PE placentas), as shown in Table 1."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Three biomarkers (HK2, PLOD2, and TREM1) were then further screened by random forest(RF) model and least absolute shrinkage and selection operator(LASSO) algorithm as diagnostic of PE.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36541903", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Three biomarkers (HK2, PLOD2, and TREM1) were then further screened by random forest(RF) model and least absolute shrinkage and selection operator(LASSO) algorithm as diagnostic of PE."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Three biomarkers (HK2, PLOD2, and TREM1) were then further screened by random forest(RF) model and least absolute shrinkage and selection operator(LASSO) algorithm as diagnostic of PE.", "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:36541903"], "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. 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