{"doi":"10.3390/cells9061368","title":"Insulin-like Growth Factor-1 and IGF Binding Proteins Predict All-Cause Mortality and Morbidity in Older Adults","abstract":"While the growth hormone/insulin-like growth factor-1 (GH/IGF-1) pathway plays essential roles in growth and development, diminished signaling via this pathway in model organisms extends lifespan and health-span. In humans, circulating IGF-1 and IGF-binding proteins 3 and 1 (IGFBP-3 and 1), surrogate measures of GH/IGF-1 system activity, have not been consistently associated with morbidity and mortality. In a prospective cohort of independently-living older adults (n = 840, mean age 76.1 ± 6.8 years, 54.5% female, median follow-up 6.9 years), we evaluated the age- and sex-adjusted hazards for all-cause mortality and incident age-related diseases, including cardiovascular disease, diabetes, cancer, and multiple-domain cognitive impairment (MDCI), as predicted by baseline total serum IGF-1, IGF-1/IGFBP-3 molar ratio, IGFBP-3, and IGFBP-1 levels. All-cause mortality was positively associated with IGF-1/IGFBP-3 molar ratio (HR 1.28, 95% CI 1.05–1.57) and negatively with IGFBP-3 (HR 0.82, 95% CI 0.680–0.998). High serum IGF-1 predicted greater risk for MDCI (HR 1.56, 95% CI 1.08–2.26) and composite incident morbidity (HR 1.242, 95% CI 1.004–1.538), whereas high IGFBP-1 predicted lower risk for diabetes (HR 0.50, 95% CI 0.29–0.88). In conclusion, higher IGF-1 levels and bioavailability predicted mortality and morbidity risk, supporting the hypothesis that diminished GH/IGF-1 signaling may contribute to human longevity and health-span.","journal":"Cells","year":2020,"id":59224,"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":68,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9611,"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":311484,"name":"Sandra Aleksić","orcid":"0000-0001-9255-1392","position":1,"is_corresponding":false},{"id":283208,"name":"Tina Gao","orcid":null,"position":2,"is_corresponding":false},{"id":280513,"name":"Erica Weiss","orcid":"0000-0002-0726-7547","position":3,"is_corresponding":false},{"id":313027,"name":"Eleni Demetriou","orcid":null,"position":4,"is_corresponding":false},{"id":280515,"name":"Joe Verghese","orcid":"0000-0003-4252-2547","position":5,"is_corresponding":false},{"id":311485,"name":"Roee Holtzer","orcid":"0000-0001-6639-0724","position":6,"is_corresponding":false},{"id":90076,"name":"Nir Barzilai","orcid":"0000-0002-7787-6268","position":7,"is_corresponding":false},{"id":280514,"name":"Sofiya Milman","orcid":"0000-0001-9247-0082","position":8,"is_corresponding":false},{"id":311483,"name":"William B. Zhang","orcid":"0000-0002-4372-5496","position":0,"is_corresponding":true}],"reference_count":104,"raw_metadata":null,"created_at":"2026-07-18T21:07:59.189921Z","pmid":"32492897","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":[]}