{"doi":"10.1093/stcltm/szaf066","title":"Predicting metabolic dysfunction–associated steatotic liver disease risk using patient-derived induced pluripotent stem cells","abstract":"Metabolic dysfunction-associated steatotic liver disease (MASLD) is reversible at early stages, making early identification critical. We previously demonstrated that patient-derived induced pluripotent stem cells (iPSCs) carrying MASLD-associated genetic risk variants exhibit greater oleate-induced intracellular lipid accumulation than those without these variants. This study aimed to develop an iPSC-based MASLD risk predictor using functional lipid accumulation assessments. We quantified oleate-induced lipid accumulation in iPSCs from three cohorts: (1) CIRM (22 cases, 20 controls), (2) POST (18 cases, 16 controls), and (3) UCSF (4 cases, 8 controls). Data from the CIRM cohort was used to define an iPSC-based MASLD risk score, which was subsequently validated in the POST and UCSF cohorts. Lipid accumulation was consistently higher in MASLD iPSCs across cohorts. The risk score achieved 44% sensitivity/75% specificity in POST and 75%/100% in UCSF. These findings suggest that oleate-induced lipid accumulation in iPSCs may be a predictor of MASLD risk. Larger studies incorporating additional cellular phenotypes, clinical, and genetic data could enhance predictive accuracy for MASLD surveillance and prevention.","journal":"Stem Cells Translational Medicine","year":2025,"id":549862,"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":0.9621,"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":717916,"name":"Parth D. Chhetri","orcid":"0000-0003-0248-2317","position":1,"is_corresponding":false},{"id":493032,"name":"Elizabeth Theusch","orcid":null,"position":2,"is_corresponding":false},{"id":294858,"name":"Grace Lim","orcid":"0000-0001-8013-0080","position":3,"is_corresponding":false},{"id":1445235,"name":"Sheila Teker","orcid":null,"position":4,"is_corresponding":false},{"id":1445236,"name":"Yu-Lin Kuang","orcid":null,"position":5,"is_corresponding":false},{"id":1445237,"name":"Shahrbanoo Keshavarz Aziziraftar","orcid":null,"position":6,"is_corresponding":false},{"id":1444565,"name":"Mohammad Hossein Mehraban","orcid":"0000-0002-5512-0726","position":7,"is_corresponding":false},{"id":1445238,"name":"Antonio Munoz-Howell","orcid":null,"position":8,"is_corresponding":false},{"id":1273113,"name":"Varun Saxena","orcid":"0000-0003-1278-3455","position":9,"is_corresponding":false},{"id":693934,"name":"Dounia Le Guillou","orcid":"0000-0002-1614-5381","position":10,"is_corresponding":false},{"id":271167,"name":"Aras N. Mattis","orcid":"0000-0002-5813-164X","position":11,"is_corresponding":false},{"id":1445239,"name":"J Maher","orcid":null,"position":12,"is_corresponding":false},{"id":471244,"name":"Marisa W. Medina","orcid":"0000-0002-3631-0129","position":13,"is_corresponding":false},{"id":544001,"name":"Yuanyuan Qin","orcid":"0000-0003-0482-4632","position":0,"is_corresponding":true}],"reference_count":16,"raw_metadata":null,"created_at":"2026-07-19T02:54:12.321988Z","pmid":"41510817","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":[]}