{"doi":"10.1016/j.cdnut.2025.107479","title":"Low-Carbohydrate Diet Patterns That Favor High-Quality Carbohydrates Are Associated with Beneficial Long-Term Changes in Biomarkers of Inflammation and Oxidative Stress in the Framingham Offspring Cohort","abstract":"Background: Low-carbohydrate diet (LCD) patterns have been studied as a potential strategy to reduce chronic inflammation. Evidence remains equivocal, likely because of differences in the quality of carbohydrate sources among LCD patterns. Objectives: To prospectively examine the associations between LCD patterns varying in carbohydrate quality, and changes of inflammation and oxidative stress biomarkers. Methods: = 2225; median 6.7-y follow-up, mean baseline age: 60.1 y), we used food frequency questionnaires to create 2 LCD scores (LCDS) accounting for quality of carbohydrates sources. These reflected higher intake of total fat and protein, and lower intake of either low-quality carbohydrates [high-quality LCDS (HQ-LCDS)] or high-quality carbohydrates [low-quality LCDS (LQ-LCDS)]. We calculated an inflammation and oxidative stress score by summing the standardized values of 9 inflammatory and oxidative stress biomarkers. Least-square mean change in the inflammation and oxidative stress score across quintile categories of LCDS was estimated using multivariable linear regression models, adjusted for potential confounders. Results: = 0.003). No significant associations were observed for LQ-LCDS. Conclusions: LCD patterns that preserved high-quality carbohydrates while replacing low-quality carbohydrates sources, such as refined grains and added sugars, with fat and protein were inversely associated with inflammation and oxidative stress score, potentially lowering chronic disease risk.","journal":"Current Developments in Nutrition","year":2025,"id":536213,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9598,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":465891,"name":"Nicola M. McKeown","orcid":"0000-0002-1437-7533","position":1,"is_corresponding":false},{"id":314772,"name":"Gail Rogers","orcid":"0000-0003-0673-8092","position":2,"is_corresponding":false},{"id":282557,"name":"Sai Krupa Das","orcid":"0000-0003-0788-0461","position":3,"is_corresponding":false},{"id":73082,"name":"Alice H. Lichtenstein","orcid":"0000-0002-1053-9478","position":4,"is_corresponding":false},{"id":326889,"name":"Paul F. Jacques","orcid":"0000-0001-5567-3147","position":5,"is_corresponding":false},{"id":1421541,"name":"Ghaida F Aloraini","orcid":null,"position":0,"is_corresponding":true}],"reference_count":81,"raw_metadata":null,"created_at":"2026-07-19T02:52:05.227140Z","pmid":"40612047","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":[]}