{"doi":"10.1016/j.cdnut.2025.107520","title":"Targeted Urinary Profiling as a Biomarker of Dietary Flavonoid Intake from Fruits and Vegetables and its Relationship to the Timing of Dietary Assessment","abstract":"Background: Dietary intake of flavonoids, a class of plant (poly)phenols, is hypothesized to mediate a variety of beneficial health outcomes linked to fruits and vegetables (FV) intake. Absorbed flavonoids are metabolized and excreted in urine and may serve as biomarkers of FV intake and host metabolism, but defining the relationship of urinary biomarkers to the specific time of intake is unclear. Objectives: To characterize a targeted panel of 6 urinary flavonoids and determine the relationship to estimated dietary flavonoid intake over time in adults. Methods: Dietary flavonoid intake was estimated from both a 30-d food frequency questionnaire and 3-d diet records using the Phenol-Explorer database in 17 adults. Twenty-four-hour urine was collected, and a targeted panel of 6 urinary flavonoids (quercetin, phloretin, naringenin, hesperetin, kaempferol, and isorhamnetin) was quantified using high-pressure liquid chromatography-diode array detection (DAD). Results: = 0.16). Conclusions: Targeted flavonoid concentrations in a 24-h urine collection may serve as a biomarker for estimating dietary exposures over 2 d prior to completion of the urine collection, but not more distant dietary exposures.This trial was registered at clinicaltrials.gov as NCT03489213.","journal":"Current Developments in Nutrition","year":2025,"id":545710,"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":1,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9581,"is_data_producer":true,"deposit_databanks":{"ClinicalTrials.gov":["NCT03489213"]},"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":1015698,"name":"Anna Pashkova","orcid":null,"position":1,"is_corresponding":false},{"id":970187,"name":"Elizabeth M. Grainger","orcid":"0000-0002-2411-6679","position":2,"is_corresponding":false},{"id":1235296,"name":"K. Roberts","orcid":"0000-0001-5619-990X","position":3,"is_corresponding":false},{"id":1436990,"name":"Chureeporn Chitchumroonchokchai","orcid":"0000-0002-0694-8332","position":4,"is_corresponding":false},{"id":876371,"name":"Ashlea Braun","orcid":"0000-0002-3538-6631","position":5,"is_corresponding":false},{"id":1437447,"name":"Robin A. Ralston","orcid":null,"position":6,"is_corresponding":false},{"id":474740,"name":"Kenneth M. Riedl","orcid":"0000-0002-9020-3471","position":7,"is_corresponding":false},{"id":876372,"name":"Colleen Spees","orcid":"0000-0001-6293-2899","position":8,"is_corresponding":false},{"id":366108,"name":"Steven K. Clinton","orcid":"0000-0002-2840-5865","position":9,"is_corresponding":false},{"id":924509,"name":"Emily B. Hill","orcid":"0000-0002-0308-5666","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":null,"created_at":"2026-07-19T02:53:27.751050Z","pmid":"41080470","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":[]}