{"doi":"10.1101/2023.05.02.539100","title":"Stealth liposomes encapsulating a potent ACAT1/SOAT1 inhibitor F12511: pharmacokinetic, biodistribution and toxicity studies in wild-type mice, and efficacy studies in triple transgenic Alzheimer Disease mice","abstract":"Abstract Cholesterol is essential to cellular function and is stored as cholesteryl esters (CEs). CEs biosynthesis is responsible by the enzymes acyl-CoA: cholesterol acyltransferase 1 and 2 (ACAT1 and ACAT2), with ACAT1 as the primary isoenzyme in most cells in humans. ACATs are targets for atherosclerosis therapies and may also be promising targets for treating Alzheimer’s Disease (AD). F12511 is a high-affinity ACAT1 inhibitor that has passed phase 1 safety tests for anti-atherosclerosis. Previously, we had developed a nanoparticle system to encapsulate a large concentration of F12511 into a stealth liposome (DSPE-PEG 2000 with egg phosphatidylcholine). Here, we injected the nanoparticle encapsulated F12511 (nanoparticle F) intravenously (IV) to wild-type (WT) mice and performed HPLC/MS/MS analysis and ACAT enzyme activity measurement. The results demonstrated that F12511 was present within the mouse brain after a single IV but did not over-accumulate in the brain or other tissues after repeated IVs. Histological examination showed that F12511 did not cause overt neurological or systemic toxicity. We then showed that 2-week IV delivery of nanoparticle F to aging 3xTg AD mice ameliorated amyloidopathy, reduced hyperphosphorylated tau and non-phosphorylated tau, and reduced neuroinflammation. This work lays the foundation with nanoparticle F as a possible therapy for AD and other neurodegenerative diseases.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2023,"id":396315,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9601,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":703366,"name":"Thao N. Huynh","orcid":"0000-0003-3971-8936","position":1,"is_corresponding":false},{"id":294885,"name":"Catherine C.Y. Chang","orcid":"0000-0002-2187-8299","position":2,"is_corresponding":false},{"id":292413,"name":"Darcy B. Pooler","orcid":"0000-0001-9762-9013","position":3,"is_corresponding":false},{"id":663342,"name":"Dylan B. Ness","orcid":"0000-0003-2941-5050","position":4,"is_corresponding":false},{"id":292414,"name":"Lionel D. Lewis","orcid":"0000-0003-1164-5157","position":5,"is_corresponding":false},{"id":1112719,"name":"Sanjana Pannem","orcid":"0009-0005-0690-4224","position":6,"is_corresponding":false},{"id":1113111,"name":"Yichen Feng","orcid":null,"position":7,"is_corresponding":false},{"id":377168,"name":"Kimberley S. Samkoe","orcid":"0000-0002-8234-2308","position":8,"is_corresponding":false},{"id":855759,"name":"William F. Hickey","orcid":"0009-0007-9718-1280","position":9,"is_corresponding":false},{"id":294886,"name":"Ta‐Yuan Chang","orcid":"0000-0002-3249-0468","position":10,"is_corresponding":false},{"id":703364,"name":"Adrianna L. De La Torre","orcid":"0000-0003-2470-7687","position":0,"is_corresponding":true}],"reference_count":71,"raw_metadata":null,"created_at":"2026-07-19T01:19:27.044553Z","pmid":null,"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":[]}