{"doi":"10.2337/dc24-1754","title":"Association of Insulin Resistance With Radiographic Lung Abnormalities and Incident Lung Disease: The Framingham Offspring Study","abstract":"OBJECTIVE: Insulin resistance (IR) may be a risk factor for lung disease, but objective evidence is limited. We sought to define the relationship of longitudinal IR with radiographic imaging outcomes and examiner-identified incident lung disease in the Framingham Offspring Study. RESEARCH DESIGN AND METHODS: Participants without baseline lung disease underwent repeated measurements of fasting insulin and glucose levels over an average period of 13.6 years, from which time-weighted average HOMA-IR was calculated. Each participant then underwent a cardiac gated whole-lung computed tomography scan, which was analyzed for the presence of emphysema, interstitial lung abnormalities (ILAs), and quantitative airway features. Incident lung disease was determined by a study examiner. The relationship of HOMA-IR to these outcomes was estimated in models adjusted for demographics, BMI, and lifetime smoking. RESULTS: A total of 875 participants with longitudinal IR data and outcomes were identified. Their mean age was 51.5 years, and BMI was 26.7 kg/m2. HOMA-IR was temporally unstable, with a within-person SD approximately two-thirds of the between-person SD. In adjusted models, a 1 SD increase in log(HOMA-IR) z score was associated with higher odds of qualitative emphysema (odds ratio [OR] 1.33; 95% CI 1.04-1.70), ILAs (OR 1.35; 95% CI 1.05-1.74), and modest increases in airway wall thickness and wall area percentage. These radiographic findings were corroborated by a positive association of HOMA-IR with incident lung disease. CONCLUSIONS: IR is associated with radiographic lung abnormalities and incident lung disease. Deeper phenotyping is necessary to define mechanisms of IR-associated lung injury.","journal":"Diabetes Care","year":2024,"id":449592,"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":0.93,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1269869,"name":"Paula Sierra","orcid":null,"position":1,"is_corresponding":false},{"id":528625,"name":"Vickram Tejwani","orcid":"0000-0003-2100-6148","position":2,"is_corresponding":false},{"id":1269377,"name":"Kristen A. Staggers","orcid":"0000-0003-0312-1214","position":3,"is_corresponding":false},{"id":313967,"name":"Meredith C. McCormack","orcid":"0000-0003-1702-3201","position":4,"is_corresponding":false},{"id":331915,"name":"Dennis T. Villareal","orcid":"0000-0003-1365-7960","position":5,"is_corresponding":false},{"id":34736,"name":"Iván O. Rosas","orcid":"0000-0003-4622-618X","position":6,"is_corresponding":false},{"id":326871,"name":"Nicola A. Hanania","orcid":"0000-0003-3087-9530","position":7,"is_corresponding":false},{"id":690788,"name":"Tianshi David Wu","orcid":"0000-0003-4906-3232","position":8,"is_corresponding":false},{"id":640271,"name":"Sarath Raju","orcid":"0000-0003-4056-5615","position":0,"is_corresponding":true}],"reference_count":34,"raw_metadata":null,"created_at":"2026-07-19T02:02:20.585759Z","pmid":"39571139","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":[]}