{"title":"Tissue-Specific Regulation of Fatty Acid Metabolism in a Mouse Model of Isolated Complex I Deficiency","authors":"Sibonelo Glen Khumalo, Jeremie Zander Lindeque, Marianne Venter","doi":"10.1002/pmic.13969","DOIUrl":null,"url":null,"abstract":"<p>Isolated complex I deficiency (ICD) is commonly associated with mitochondrial diseases and closely mimics subacute necrotising encephalomyelopathy. This disorder is characterised by metabolic perturbations that affect energy metabolism pathways, including fatty acid metabolism. Here, we examined the tissue-specific changes in fatty acid metabolism in the <i>Ndufs4</i> KO mice by employing mass-spectrometry-based proteomics as a hypothesis-generating approach. We investigated proteomic changes in six tissues, including brain regions (brainstem, cerebellum, olfactory bulb), heart, kidney and liver, focusing on proteins involved in fatty acid metabolism. Although it is expected that most tissues, except for the brain, will utilise fatty acids as alternative energy sources when oxidative phosphorylation (OXPHOS) is deficient, our data revealed a more complex response. In the liver, fatty acid consumption (oxidation) was favoured as expected, but in the heart, fatty acid synthesis was favoured. In the kidney, proteins involved in almost all fatty acid metabolic processes (oxidation and synthesis) were downregulated. Our data demonstrate that metabolic adaptations in fatty acid metabolism to ICD were tissue-specific and often in opposing directions. Understanding the differential adaptations across tissues could inform future treatment targets for mitochondrial disorders.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":"25 13","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.13969","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proteomics","FirstCategoryId":"99","ListUrlMain":"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/pmic.13969","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Isolated complex I deficiency (ICD) is commonly associated with mitochondrial diseases and closely mimics subacute necrotising encephalomyelopathy. This disorder is characterised by metabolic perturbations that affect energy metabolism pathways, including fatty acid metabolism. Here, we examined the tissue-specific changes in fatty acid metabolism in the Ndufs4 KO mice by employing mass-spectrometry-based proteomics as a hypothesis-generating approach. We investigated proteomic changes in six tissues, including brain regions (brainstem, cerebellum, olfactory bulb), heart, kidney and liver, focusing on proteins involved in fatty acid metabolism. Although it is expected that most tissues, except for the brain, will utilise fatty acids as alternative energy sources when oxidative phosphorylation (OXPHOS) is deficient, our data revealed a more complex response. In the liver, fatty acid consumption (oxidation) was favoured as expected, but in the heart, fatty acid synthesis was favoured. In the kidney, proteins involved in almost all fatty acid metabolic processes (oxidation and synthesis) were downregulated. Our data demonstrate that metabolic adaptations in fatty acid metabolism to ICD were tissue-specific and often in opposing directions. Understanding the differential adaptations across tissues could inform future treatment targets for mitochondrial disorders.
期刊介绍:
PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.