{"doi":"10.3390/cimb47050371","title":"Effects of Aerobic Exercise on Irisin and Skeletal Muscle Autophagy in ApoE−/− Mice","abstract":"As a chronic inflammatory disease, atherosclerosis can affect the occurrence of skeletal muscle autophagy through a variety of mechanisms. Previous studies have demonstrated that exercise enhances autophagic activity through irisin-mediated pathways. Building upon this evidence, this study investigated the effects of a 12-week aerobic exercise training on irisin levels and skeletal muscle autophagy-related proteins in atherosclerotic mice. Male C57BL/6J and ApoE−/− mice were randomly assigned to four groups: Control Group (C), Aerobic Exercise Group (CE), ApoE−/− Control Group (AC), and ApoE−/− Aerobic Exercise Group (AE). Serum and muscle irisin levels were measured by ELISA; the expression levels of FNDC5, AMPK/mTOR pathway proteins and autophagy markers were detected by immunoblots, and muscle morphology was examined using H&amp;E staining. Compared with the C group, the serum levels of TAG, TC, and LDL-C were higher than the AC group. Aerobic exercise increased irisin levels in skeletal muscle, upregulated the expression of LKB1 and p-AMPK, and presented an elevated LC3-II/I ratio, accompanied by reduced mTORC1 expression in CE mice. Aerobic exercise increased FNDC5 expression and irisin levels in serum and skeletal muscle, but also upregulated mTORC1 expression and reduced the LC3-II/I ratio in the AE group. Aerobic exercise enhances irisin synthesis and improves dyslipidemia in ApoE−/− mice. However, the increased expression of the mTORC1 protein contributed to decreasing the expression of autophagy-related proteins following exercise.","journal":"Current Issues in Molecular Biology","year":2025,"id":566217,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9497,"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":1470343,"name":"Fengting Zheng","orcid":null,"position":1,"is_corresponding":false},{"id":1470021,"name":"Jiawei Zhou","orcid":"0009-0008-4971-1125","position":2,"is_corresponding":false},{"id":1470344,"name":"Yangfan Cao","orcid":null,"position":3,"is_corresponding":false},{"id":291083,"name":"Liang Zhang","orcid":"0009-0001-2052-2792","position":4,"is_corresponding":false},{"id":1470022,"name":"Lu Yao","orcid":"0000-0002-6278-8564","position":5,"is_corresponding":false},{"id":1470023,"name":"Qingbo Li","orcid":"0009-0006-7527-2213","position":6,"is_corresponding":false},{"id":1470024,"name":"Ting Li","orcid":"0009-0007-8797-2353","position":7,"is_corresponding":false},{"id":1470025,"name":"Mallikarjuna Korivi","orcid":"0000-0002-4038-1368","position":8,"is_corresponding":false},{"id":1470026,"name":"Lifeng Wang","orcid":"0009-0001-8258-7911","position":9,"is_corresponding":false},{"id":247364,"name":"Wei Li","orcid":"0000-0001-6728-1300","position":10,"is_corresponding":false},{"id":1070469,"name":"Wenxin Wang","orcid":"0000-0002-5053-0611","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":null,"created_at":"2026-07-19T02:56:36.440192Z","pmid":"40699770","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":[]}