{"doi":"10.17615/8m8h-9b59","title":"Nicotinamide benefits both mothers and pups in two contrasting mouse models of preeclampsia","abstract":"Preeclampsia (PE), high blood pressure and protein in the urine in the last third of pregnancy, complicates about 1 in 20 human pregnancies, and it is one of the leading causes of pregnancy-related maternal deaths. The only definitive treatment, induced delivery, invariably results in premature babies. Blood pressure-lowering drugs help, but results in preventing preterm delivery and correcting the fetal growth restriction (FGR) that also occurs in PE have been disappointing. Here we show that feeding high doses of nicotinamide, a vitamin, improves the maternal condition, prolongs pregnancies, and prevents FGR in mice having PE-like conditions due to two contrasting causes. Because nicotinamide benefits both mothers and pups, it merits evaluation for preventing or treating PE in humans.","journal":"UNC Libraries","year":2020,"id":108467,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9508,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":520160,"name":"H. W. Davin Townley-Tilson","orcid":null,"position":1,"is_corresponding":false},{"id":520161,"name":"Gen Oyanagi","orcid":null,"position":2,"is_corresponding":false},{"id":376942,"name":"Daisuke Saigusa","orcid":"0000-0001-9484-9870","position":3,"is_corresponding":false},{"id":520162,"name":"Hironobu Nakada","orcid":null,"position":4,"is_corresponding":false},{"id":462681,"name":"John R. Hagaman","orcid":null,"position":5,"is_corresponding":false},{"id":45210,"name":"Oliver Smithies","orcid":"0000-0002-4934-3931","position":6,"is_corresponding":false},{"id":520163,"name":"Tomofumi Fushima","orcid":null,"position":7,"is_corresponding":false},{"id":25194,"name":"J. Charles Jennette","orcid":"0000-0002-8081-6565","position":8,"is_corresponding":false},{"id":293224,"name":"S. Ananth Karumanchi","orcid":"0000-0002-2281-6831","position":9,"is_corresponding":false},{"id":519443,"name":"Emiko Sato","orcid":"0000-0002-6998-2909","position":10,"is_corresponding":false},{"id":15747,"name":"Manyu Li","orcid":"0000-0002-8679-1346","position":11,"is_corresponding":false},{"id":519444,"name":"Sadayoshi Ito","orcid":"0000-0002-5092-3626","position":12,"is_corresponding":false},{"id":462680,"name":"Jennifer Wilder","orcid":null,"position":13,"is_corresponding":false},{"id":519445,"name":"Hiroshi Satō","orcid":"0000-0002-5899-1340","position":14,"is_corresponding":false},{"id":519446,"name":"Yuji Oe","orcid":"0000-0001-8558-8832","position":15,"is_corresponding":false},{"id":446134,"name":"Nobuyo Maeda","orcid":"0000-0002-2248-3299","position":16,"is_corresponding":false},{"id":519447,"name":"Feng Li","orcid":"0000-0003-1291-5315","position":17,"is_corresponding":false},{"id":435869,"name":"Nobuyuki Takahashi","orcid":"0000-0002-9705-662X","position":18,"is_corresponding":false},{"id":520159,"name":"Akiyo Sekimoto","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-18T23:12:43.081337Z","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":[]}