{"doi":"10.1186/1741-7015-11-236","title":"Integrating multiple ‘omics’ analyses identifies serological protein biomarkers for preeclampsia","abstract":"<h4>Background</h4>Preeclampsia (PE) is a pregnancy-related vascular disorder which is the leading cause of maternal morbidity and mortality. We sought to identify novel serological protein markers to diagnose PE with a multi-'omics' based discovery approach.<h4>Methods</h4>Seven previous placental expression studies were combined for a multiplex analysis, and in parallel, two-dimensional gel electrophoresis was performed to compare serum proteomes in PE and control subjects. The combined biomarker candidates were validated with available ELISA assays using gestational age-matched PE (n=32) and control (n=32) samples. With the validated biomarkers, a genetic algorithm was then used to construct and optimize biomarker panels in PE assessment.<h4>Results</h4>In addition to the previously identified biomarkers, the angiogenic and antiangiogenic factors (soluble fms-like tyrosine kinase (sFlt-1) and placental growth factor (PIGF)), we found 3 up-regulated and 6 down-regulated biomakers in PE sera. Two optimal biomarker panels were developed for early and late onset PE assessment, respectively.<h4>Conclusions</h4>Both early and late onset PE diagnostic panels, constructed with our PE biomarkers, were superior over sFlt-1/PIGF ratio in PE discrimination. The functional significance of these PE biomarkers and their associated pathways were analyzed which may provide new insights into the pathogenesis of PE.","journal":"BMC Medicine","year":2013,"id":5757,"datarank":2.061924039360601,"base_score":3.970291913552122,"endowment":3.970291913552122,"self_citation_contribution":0.5955437870328184,"citation_network_contribution":1.4663802523277825,"self_endowment_contribution":0.5955437870328184,"citer_contribution":1.4663802523277825,"corpus_percentile":null,"corpus_rank":null,"citation_count":52,"citer_count":45,"citers_with_citation_signal":42,"citers_with_endowment":42,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.1011,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2013-11-06","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":17728,"name":"Ting Yang","orcid":"0000-0001-8872-8749","position":1,"is_corresponding":false},{"id":55793,"name":"Jun Ji","orcid":"0000-0003-3194-2183","position":2,"is_corresponding":false},{"id":17730,"name":"Qiaojun Wen","orcid":null,"position":3,"is_corresponding":false},{"id":3041,"name":"Alexander A. Morgan","orcid":null,"position":4,"is_corresponding":false},{"id":55794,"name":"Bo Jin","orcid":null,"position":5,"is_corresponding":false},{"id":55795,"name":"Gongxing Chen","orcid":"0000-0001-7293-1654","position":6,"is_corresponding":false},{"id":55796,"name":"Deirdre J. Lyell","orcid":"0000-0002-6853-9956","position":7,"is_corresponding":false},{"id":17735,"name":"David K. Stevenson","orcid":"0000-0002-7127-0281","position":8,"is_corresponding":false},{"id":17740,"name":"Xuefeng B. Ling","orcid":"0000-0002-5386-3884","position":9,"is_corresponding":false},{"id":51,"name":"Atul Janardhan Butte","orcid":"0000-0002-7433-2740","position":10,"is_corresponding":false},{"id":53911,"name":"Linda Y. Liu","orcid":null,"position":0,"is_corresponding":true}],"reference_count":53,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}