{"doi":"10.1007/s12012-024-09943-5","title":"Cohort Studies and Multi-omics Approaches to Low-Dose Ionizing Radiation-Induced Cardiovascular Disease: A Comprehensive Review","abstract":null,"journal":"Cardiovascular Toxicology","year":2025,"id":649764,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1323327,"name":"Lin Zhu","orcid":"0000-0001-8149-4273","position":1,"is_corresponding":false},{"id":1341077,"name":"Yan Wang","orcid":"0000-0002-7731-8100","position":2,"is_corresponding":false},{"id":983321,"name":"Jinhan Wang","orcid":"0000-0003-1930-2271","position":3,"is_corresponding":false},{"id":1611285,"name":"Yeqing Gu","orcid":null,"position":4,"is_corresponding":false},{"id":1221482,"name":"Qiang Liu","orcid":"0009-0007-6818-0115","position":5,"is_corresponding":false},{"id":1693979,"name":"Xumin Zong","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Cohort Studies and Multi-omics Approaches to Low-Dose Ionizing Radiation-Induced Cardiovascular Disease: A Comprehensive Review","abstract":"The effect of low-dose ionizing radiation exposure on the risk of cardiovascular disease (CVD) represents a significant concern in the field of radiation protection. The prevailing approach to mitigating the adverse effects of low-dose or low-dose-rate radiation does not currently incorporate the potential risk of CVD, despite the possibility that such risk may be a substantial contributor to overall health hazards. Current evidence suggests a potential association between radiation exposure and CVD; however, the overall findings remain inconclusive. This is particularly due to the uncertainty surrounding the influence of significant non-radiation risk factors on the associations reported in epidemiological studies. It is difficult to discern the underlying connection in observational epidemiology when there is substantial variation in baseline risk factors. The paucity of epidemiological research in this domain is being partially offset by the advancement of multi-omics approaches. These methods assist in identifying radiosensitive targets, comprehending underlying biological processes, and pinpointing biomarkers. This, in turn, fortifies the evidence gleaned from epidemiological studies. In this review, we delve into the body of epidemiological research pertaining to CVD induced by low-dose ionizing radiation and the application of multi-omics techniques. The integration of these two methodologies holds the promise of identifying specific molecules or biological pathways that can be employed to validate endpoints related to radiation risk assessment.","is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"39538046","pmcid":null,"openalex_id":"https://openalex.org/W4404307749","authors":[],"funders":[{"funder_name":"National Natural Science Foundation of China","grant_id":"82103837","title":null},{"funder_name":"The Open Project of Henan Key Laboratory of Radiobiology and Radiation Epidemiology","grant_id":"HNRBEKF202405","title":null},{"funder_name":"CAMS Innovation Fund for Medical Science","grant_id":"2021-I2M-1-042","title":null}],"total_grants":3,"fwci":0.2612,"citation_percentile":0.57882166,"influential_citations":0,"citation_trend":[{"year":2024,"count":1}],"oa_status":"closed","license":"https://www.springernature.com/gp/researchers/text-and-data-mining","oa_locations":[{"url":"https://link.springer.com/content/pdf/10.1007/s12012-024-09943-5.pdf","host_type":"publisher"},{"url":"https://link.springer.com/article/10.1007/s12012-024-09943-5/fulltext.html","host_type":"publisher"},{"url":"https://doi.org/10.1007/s12012-024-09943-5","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/39538046","host_type":"repository"}],"fields_of_study":["Cardiac Imaging and Diagnostics","Effects of Radiation Exposure","Mitochondrial Function and Pathology"],"mesh_terms":["Radiation Exposure","Heart Disease Risk Factors","Multiomics","Animals","Cardiovascular Diseases","Cardiovascular System","Dose-Response Relationship, Radiation","Humans","Radiation Dosage","Radiation Injuries","Radiation, Ionizing","Risk Factors","Cohort Studies","Risk Assessment","Gene Expression Profiling","Genomics","Proteomics","Metabolomics"],"keywords":["Ionizing radiation","Omics","Disease","Medicine","Cohort","Bioinformatics","Medical physics","Computational biology","Intensive care medicine","Internal medicine","Biology","Physics","Irradiation","Nuclear physics","Radiation","Cardiovascular disease","Epidemiological investigation","Multi-omics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T04:17:15.417185Z","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":[]}