{"doi":"10.1002/oby.24034","title":"Deficits in brain glucose transport among younger adults with obesity","abstract":"Abstract Objective Obesity is associated with alterations in eating behavior and neurocognitive function. In this study, we investigate the effect of obesity on brain energy utilization, including brain glucose transport and metabolism. Methods A total of 11 lean participants and 7 young healthy participants with obesity (mean age, 27 years) underwent magnetic resonance spectroscopy scanning coupled with a hyperglycemic clamp (target, ~180 mg/dL) using [1‐ 13 C] glucose to measure brain glucose uptake and metabolism, as well as peripheral markers of insulin resistance. Results Individuals with obesity demonstrated an ~20% lower ratio of brain glucose uptake to cerebral glucose metabolic rate (T max /CMR glucose ) than lean participants (2.12 ± 0.51 vs. 2.67 ± 0.51; p = 0.04). The cerebral tricarboxylic acid cycle flux (V TCA ) was similar between the two groups ( p = 0.64). There was a negative correlation between total nonesterified fatty acids and T max /CMR glucose ( r = −0.477; p = 0.045). Conclusions We conclude that CMR glucose is unlikely to differ between groups due to similar V TCA , and, therefore, the glucose transport T max is lower in individuals with obesity. These human findings suggest that obesity is associated with reduced cerebral glucose transport capacity even at a young age and in the absence of other cardiometabolic comorbidities, which may have implications for long‐term brain function and health.","journal":"Obesity","year":2024,"id":442476,"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":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9477,"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":517903,"name":"Brooke C. Matson","orcid":"0000-0003-1979-1562","position":1,"is_corresponding":false},{"id":810741,"name":"Anastasia Coppoli","orcid":null,"position":2,"is_corresponding":false},{"id":810740,"name":"Lihong Jiang","orcid":null,"position":3,"is_corresponding":false},{"id":825703,"name":"Yuyan Ding","orcid":"0009-0004-8796-3615","position":4,"is_corresponding":false},{"id":232238,"name":"Rachel J. Perry","orcid":"0000-0003-0748-8064","position":5,"is_corresponding":false},{"id":301734,"name":"Elizabeth Sanchez‐Rangel","orcid":"0000-0001-5758-3305","position":6,"is_corresponding":false},{"id":1256237,"name":"Renata Belfort DeAguiar","orcid":null,"position":7,"is_corresponding":false},{"id":812173,"name":"Kevin L. Behar","orcid":"0000-0003-1467-0446","position":8,"is_corresponding":false},{"id":424958,"name":"Douglas L. Rothman","orcid":"0000-0001-9321-4195","position":9,"is_corresponding":false},{"id":298418,"name":"Graeme F. Mason","orcid":"0000-0002-6573-5222","position":10,"is_corresponding":false},{"id":301735,"name":"Janice J. Hwang","orcid":"0000-0002-8395-5659","position":11,"is_corresponding":false},{"id":936912,"name":"Felona Gunawan","orcid":"0000-0002-9384-1073","position":0,"is_corresponding":true}],"reference_count":44,"raw_metadata":null,"created_at":"2026-07-19T02:01:15.932178Z","pmid":"38764181","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":[]}