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Shi H, Cui W, Qin Y, Chen L, Yu T, Lv J. A glimpse into novel acylations and their emerging role in regulating cancer metastasis. Cell Mol Life Sci 2024; 81:76. [PMID: 38315203 PMCID: PMC10844364 DOI: 10.1007/s00018-023-05104-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 02/07/2024]
Abstract
Metastatic cancer is a major cause of cancer-related mortality; however, the complex regulation process remains to be further elucidated. A large amount of preliminary investigations focus on the role of epigenetic mechanisms in cancer metastasis. Notably, the posttranslational modifications were found to be critically involved in malignancy, thus attracting considerable attention. Beyond acetylation, novel forms of acylation have been recently identified following advances in mass spectrometry, proteomics technologies, and bioinformatics, such as propionylation, butyrylation, malonylation, succinylation, crotonylation, 2-hydroxyisobutyrylation, lactylation, among others. These novel acylations play pivotal roles in regulating different aspects of energy mechanism and mediating signal transduction by covalently modifying histone or nonhistone proteins. Furthermore, these acylations and their modifying enzymes show promise regarding the diagnosis and treatment of tumors, especially tumor metastasis. Here, we comprehensively review the identification and characterization of 11 novel acylations, and the corresponding modifying enzymes, highlighting their significance for tumor metastasis. We also focus on their potential application as clinical therapeutic targets and diagnostic predictors, discussing the current obstacles and future research prospects.
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Affiliation(s)
- Huifang Shi
- Clinical Laboratory, The Rizhao People's Hospital Affiliated to Jining Medical University, No. 126 Taian Road, Rizhao, 276826, Shandong, China
| | - Weigang Cui
- Central Laboratory, The Rizhao People's Hospital Affiliated to Jining Medical University, No. 126 Taian Road, Rizhao, 276826, Shandong, China
| | - Yan Qin
- Clinical Laboratory, The Rizhao People's Hospital Affiliated to Jining Medical University, No. 126 Taian Road, Rizhao, 276826, Shandong, China
| | - Lei Chen
- Clinical Laboratory, The Rizhao People's Hospital Affiliated to Jining Medical University, No. 126 Taian Road, Rizhao, 276826, Shandong, China
| | - Tao Yu
- Center for Regenerative Medicine, Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, 266000, China.
- Department of Cardiac Ultrasound, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, 266000, China.
| | - Jie Lv
- Clinical Laboratory, The Rizhao People's Hospital Affiliated to Jining Medical University, No. 126 Taian Road, Rizhao, 276826, Shandong, China.
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Gao S, Zhao X, Leng Y, Xia Z. Dietary supplementation with inulin improves burn-induced skeletal muscle atrophy by regulating gut microbiota disorders. Sci Rep 2024; 14:2328. [PMID: 38282163 PMCID: PMC10822858 DOI: 10.1038/s41598-024-52066-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 01/12/2024] [Indexed: 01/30/2024] Open
Abstract
Inulin, as a prebiotic, could modulate the gut microbiota. Burn injury leads to gut microbiota disorders and skeletal muscle catabolism. Therefore, whether inulin can improve burn-induced muscle atrophy by regulating microbiota disorders remains unknown. This study aimed to clarify that inulin intake alleviates gut microbiota disorders and skeletal muscle atrophy in burned rats. Rats were divided into the sham group, burn group, prebiotic inulin intervention group, and pseudo-aseptic validation group. A 30% total body surface area (TBSA) third-degree burn wound on dorsal skin was evaluated in all groups except the sham group. Animals in the intervention group received 7 g/L inulin. Animals in the validation group received antibiotic cocktail and inulin treatment. In our study inulin intervention could significantly alleviate the burn-induced skeletal muscle mass decrease and skeletal myoblast cell apoptosis. Inulin intake increased the abundances of Firmicutes and Actinobacteria but decreased the abundance of Proteobacteria. The biosynthesis of amino acids was the most meaningful metabolic pathway distinguishing the inulin intervention group from the burn group, and further mechanistic studies have shown that inulin can promote the phosphorylation of the myogenesis-related proteins PI3K, AKT and P70S6K and activate PI3K/AKT signaling for protein synthesis. In conclusion, inulin alleviated burn induced muscle atrophy through PI3K/AKT signaling and regulated gut microbiota dysbiosis.
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Affiliation(s)
- Shan Gao
- Department of Anaesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xiaoshuai Zhao
- Department of Anaesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yan Leng
- Department of Anaesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Zhongyuan Xia
- Department of Anaesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
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Yang Z, He M, Austin J, Sayed D, Abdellatif M. Reducing branched-chain amino acids improves cardiac stress response in mice by decreasing histone H3K23 propionylation. J Clin Invest 2023; 133:e169399. [PMID: 37669116 PMCID: PMC10645387 DOI: 10.1172/jci169399] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 08/24/2023] [Indexed: 09/07/2023] Open
Abstract
Identification of branched-chain amino acid (BCAA) oxidation enzymes in the nucleus led us to predict that they are a source of the propionyl-CoA that is utilized for histone propionylation and, thereby, regulate gene expression. To investigate the effects of BCAAs on the development of cardiac hypertrophy and failure, we applied pressure overload on the heart in mice maintained on a diet with standard levels of BCAAs (BCAA control) versus a BCAA-free diet. The former was associated with an increase in histone H3K23-propionyl (H3K23Pr) at the promoters of upregulated genes (e.g., cell signaling and extracellular matrix genes) and a decrease at the promoters of downregulated genes (e.g., electron transfer complex [ETC I-V] and metabolic genes). Intriguingly, the BCAA-free diet tempered the increases in promoter H3K23Pr, thus reducing collagen gene expression and fibrosis during cardiac hypertrophy. Conversely, the BCAA-free diet inhibited the reductions in promoter H3K23Pr and abolished the downregulation of ETC I-V subunits, enhanced mitochondrial respiration, and curbed the progression of cardiac hypertrophy. Thus, lowering the intake of BCAAs reduced pressure overload-induced changes in histone propionylation-dependent gene expression in the heart, which retarded the development of cardiomyopathy.
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Kumari S, Gupta R, Ambasta RK, Kumar P. Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme. Biochim Biophys Acta Rev Cancer 2023; 1878:188999. [PMID: 37858622 DOI: 10.1016/j.bbcan.2023.188999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/06/2023] [Accepted: 10/06/2023] [Indexed: 10/21/2023]
Abstract
Recent multi-omics studies, including proteomics, transcriptomics, genomics, and metabolomics have revealed the critical role of post-translational modifications (PTMs) in the progression and pathogenesis of Glioblastoma multiforme (GBM). Further, PTMs alter the oncogenic signaling events and offer a novel avenue in GBM therapeutics research through PTM enzymes as potential biomarkers for drug targeting. In addition, PTMs are critical regulators of chromatin architecture, gene expression, and tumor microenvironment (TME), that play a crucial function in tumorigenesis. Moreover, the implementation of artificial intelligence and machine learning algorithms enhances GBM therapeutics research through the identification of novel PTM enzymes and residues. Herein, we briefly explain the mechanism of protein modifications in GBM etiology, and in altering the biologics of GBM cells through chromatin remodeling, modulation of the TME, and signaling pathways. In addition, we highlighted the importance of PTM enzymes as therapeutic biomarkers and the role of artificial intelligence and machine learning in protein PTM prediction.
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Affiliation(s)
- Smita Kumari
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, India
| | - Rohan Gupta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, India; School of Medicine, University of South Carolina, Columbia, SC, United States of America
| | - Rashmi K Ambasta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, India; Department of Biotechnology and Microbiology, SRM University, Sonepat, Haryana, India.
| | - Pravir Kumar
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, India.
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Ma W, Luo L, Liang K, Liu T, Su J, Wang Y, Li J, Zhou SK, Shyh-Chang N. XAI-enabled neural network analysis of metabolite spatial distributions. Anal Bioanal Chem 2023; 415:2819-2830. [PMID: 37083759 DOI: 10.1007/s00216-023-04694-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/03/2023] [Accepted: 04/06/2023] [Indexed: 04/22/2023]
Abstract
We used deep neural networks to process the mass spectrometry imaging (MSI) data of mouse muscle (young vs aged) and human cancer (tumor vs normal adjacent) tissues, with the aim of using explainable artificial intelligence (XAI) methods to rapidly identify biomarkers that can distinguish different classes of tissues, from several thousands of metabolite features. We also modified classic neural network architectures to construct a deep convolutional neural network that is more suitable for processing high-dimensional MSI data directly, instead of using dimension reduction techniques, and compared it to seven other machine learning analysis methods' performance in classification accuracy. After ascertaining the superiority of Channel-ResNet10, we used a novel channel selection-based XAI method to identify the key metabolite features that were responsible for its learning accuracy. These key metabolite biomarkers were then processed using MetaboAnalyst for pathway enrichment mapping. We found that Channel-ResNet10 was superior to seven other machine learning methods for MSI analysis, reaching > 98% accuracy in muscle aging and colorectal cancer datasets. We also used a novel channel selection-based XAI method to find that in young and aged muscle tissues, the differentially distributed metabolite biomarkers were especially enriched in the propanoate metabolism pathway, suggesting it as a novel target pathway for anti-aging therapy.
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Affiliation(s)
- Wenwu Ma
- Department of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Lanfang Luo
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Kun Liang
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Taoyan Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Jiali Su
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Yuefan Wang
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Jun Li
- Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China
- Center for Medical Imaging Robotics, Analytic Computing & Learning (MIRACLE), School of Biomedical Engineering &, Suzhou Institute for Advance Research, University of Science and Technology of China, Suzhou, China
| | - S Kevin Zhou
- Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China
- Center for Medical Imaging Robotics, Analytic Computing & Learning (MIRACLE), School of Biomedical Engineering &, Suzhou Institute for Advance Research, University of Science and Technology of China, Suzhou, China
| | - Ng Shyh-Chang
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Beijing, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
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Tang H, Zhan Z, Liu X, Zhang Y, Huang X, Xu M. Propionate reduces the viability of Salmonella enterica Serovar Typhi in macrophages by propionylation of PhoP K102. Microb Pathog 2023; 178:106078. [PMID: 36965832 DOI: 10.1016/j.micpath.2023.106078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/15/2023] [Accepted: 03/19/2023] [Indexed: 03/27/2023]
Abstract
Propionate, a major constituent of short chain fatty acids, has recently been reported to be involved in both prokaryotic and eukaryotic lysine propionylation (Kpr). However, the propionylation characteristics of the enteric pathogen Salmonella enterica serovar Typhi (S. Typhi) following invasion of the human gut under the influence of propionate, whether virulence is affected, and the underlying mechanisms are not yet known. In the present study, we report that propionate significantly reduces the viability of S. Typhi in macrophages through intra-macrophage survival assays. We also demonstrate that the concentration of propionate and the propionate metabolic intermediate propionyl coenzyme A can affect the level of modification of PhoP by propionylation, which is tightly linked to intracellular survival. By expressing and purifying PhoP protein in vitro and performing EMSA and protein phosphorylation analyses, We provide evidence that K102 of PhoP is modified by Kpr propionate, which regulates S. Typhi viability in macrophages by decreasing the phosphorylation and DNA-binding ability of PhoP. In conclusion, our study reveals a potential molecular mechanism by which propionate reduces the viability of S. Typhi in macrophages via Kpr.
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Affiliation(s)
- Hao Tang
- Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China; Department of Biochemistry and Molecular Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Ziyang Zhan
- Department of Biochemistry and Molecular Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Xiucheng Liu
- Department of Biochemistry and Molecular Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Ying Zhang
- Department of Biochemistry and Molecular Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Xinxiang Huang
- Department of Biochemistry and Molecular Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
| | - Min Xu
- Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China; Institute of Digestive Diseases, Jiangsu University, Zhenjiang, Jiangsu, China.
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Decrotonylation of AKT1 promotes AKT1 phosphorylation and activation during myogenic differentiation. J Adv Res 2022:S2090-1232(22)00235-1. [PMID: 36265762 PMCID: PMC10403674 DOI: 10.1016/j.jare.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/13/2022] [Accepted: 10/11/2022] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Myogenic differentiation plays an important role in pathophysiological processes including muscle injury and regeneration, as well as muscle atrophy. A novel type of posttranslational modification, crotonylation, has been reported to play a role in stem cell differentiation and disease. However, the role of crotonylation in myogenic differentiation has not been clarified. OBJECTIVES This study aims to find the role of crotonylation during myogenic differentiation and explore whether it is a potential target in myogenic dysfunction disease. METHODS C2C12 cell line and skeletal muscle mesenchymal progenitors of Mus musculus were used for myogenic process study in vitro, while muscle injury model of mice was used for in vivo muscle regeneration study. Mass spectrometry favored in discovery of potential target protein of crotonylation and its specific sites. RESULTS We confirmed the gradual decrease in total protein crotonylation level during muscle differentiation and found decreased crotonylation of AKT1, which facilitated an increase in AKT1 phosphorylation. Then we verified that crotonylation of AKT1 at specific sites weakened its binding with PDK1 and impaired its phosphorylation. In addition, we found that increased expression of the crotonylation eraser HDAC3 decreased AKT1 crotonylation levels during myogenic differentiation, jointly promoting myogenic differentiation. CONCLUSION Our study highlights the important role of decrotonylation of AKT1 in the process of muscle differentiation, where it aids the phosphorylation and activation of AKT1 and promotes myogenic differentiation. This is of great significance for exploring the pathophysiological process of muscle injury repair and sarcopenia.
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Gosselin MRF, Mournetas V, Borczyk M, Verma S, Occhipinti A, Róg J, Bozycki L, Korostynski M, Robson SC, Angione C, Pinset C, Gorecki DC. Loss of full-length dystrophin expression results in major cell-autonomous abnormalities in proliferating myoblasts. eLife 2022; 11:75521. [PMID: 36164827 PMCID: PMC9514850 DOI: 10.7554/elife.75521] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 09/02/2022] [Indexed: 12/05/2022] Open
Abstract
Duchenne muscular dystrophy (DMD) affects myofibers and muscle stem cells, causing progressive muscle degeneration and repair defects. It was unknown whether dystrophic myoblasts—the effector cells of muscle growth and regeneration—are affected. Using transcriptomic, genome-scale metabolic modelling and functional analyses, we demonstrate, for the first time, convergent abnormalities in primary mouse and human dystrophic myoblasts. In Dmdmdx myoblasts lacking full-length dystrophin, the expression of 170 genes was significantly altered. Myod1 and key genes controlled by MyoD (Myog, Mymk, Mymx, epigenetic regulators, ECM interactors, calcium signalling and fibrosis genes) were significantly downregulated. Gene ontology analysis indicated enrichment in genes involved in muscle development and function. Functionally, we found increased myoblast proliferation, reduced chemotaxis and accelerated differentiation, which are all essential for myoregeneration. The defects were caused by the loss of expression of full-length dystrophin, as similar and not exacerbated alterations were observed in dystrophin-null Dmdmdx-βgeo myoblasts. Corresponding abnormalities were identified in human DMD primary myoblasts and a dystrophic mouse muscle cell line, confirming the cross-species and cell-autonomous nature of these defects. The genome-scale metabolic analysis in human DMD myoblasts showed alterations in the rate of glycolysis/gluconeogenesis, leukotriene metabolism, and mitochondrial beta-oxidation of various fatty acids. These results reveal the disease continuum: DMD defects in satellite cells, the myoblast dysfunction affecting muscle regeneration, which is insufficient to counteract muscle loss due to myofiber instability. Contrary to the established belief, our data demonstrate that DMD abnormalities occur in myoblasts, making these cells a novel therapeutic target for the treatment of this lethal disease.
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Affiliation(s)
- Maxime R F Gosselin
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, United Kingdom
| | | | - Malgorzata Borczyk
- Laboratory of Pharmacogenomics, Maj Institute of Pharmacology PAS, Krakow, Poland
| | - Suraj Verma
- School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, United Kingdom
| | - Annalisa Occhipinti
- School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, United Kingdom
| | - Justyna Róg
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, United Kingdom.,Laboratory of Cellular Metabolism, Nencki Institute of Experimental Biology, Warsaw, Poland
| | - Lukasz Bozycki
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, United Kingdom.,Laboratory of Cellular Metabolism, Nencki Institute of Experimental Biology, Warsaw, Poland
| | - Michal Korostynski
- Laboratory of Pharmacogenomics, Maj Institute of Pharmacology PAS, Krakow, Poland
| | - Samuel C Robson
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, United Kingdom.,Centre for Enzyme Innovation, University of Portsmouth, Portsmouth, United Kingdom
| | - Claudio Angione
- School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, United Kingdom
| | | | - Dariusz C Gorecki
- School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, United Kingdom
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Dürholz K, Schmid E, Frech M, Azizov V, Otterbein N, Lucas S, Rauh M, Schett G, Bruns H, Zaiss MM. Microbiota-Derived Propionate Modulates Megakaryopoiesis and Platelet Function. Front Immunol 2022; 13:908174. [PMID: 35880182 PMCID: PMC9307893 DOI: 10.3389/fimmu.2022.908174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/01/2022] [Indexed: 11/29/2022] Open
Abstract
Rheumatoid arthritis (RA) is associated with an increased risk for cardiovascular events driven by abnormal platelet clotting effects. Platelets are produced by megakaryocytes, deriving from megakaryocyte erythrocyte progenitors (MEP) in the bone marrow. Increased megakaryocyte expansion across common autoimmune diseases was shown for RA, systemic lupus erythematosus (SLE) and primary Sjögren’s syndrome (pSS). In this context, we evaluated the role of the microbial-derived short chain fatty acid (SCFA) propionate on hematopoietic progenitors in the collagen induced inflammatory arthritis model (CIA) as we recently showed attenuating effects of preventive propionate treatment on CIA severity. In vivo, propionate treatment starting 21 days post immunization (dpi) reduced the frequency of MEPs in the bone marrow of CIA and naïve mice. Megakaryocytes numbers were reduced but increased the expression of the maturation marker CD61. Consistent with this, functional analysis of platelets showed an upregulated reactivity state following propionate-treatment. This was confirmed by elevated histone 3 acetylation and propionylation as well as by RNAseq analysis in Meg-01 cells. Taken together, we identified a novel nutritional axis that skews platelet formation and function.
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Affiliation(s)
- Kerstin Dürholz
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Erlangen, Germany
| | - Eva Schmid
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Erlangen, Germany
| | - Michael Frech
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Erlangen, Germany
| | - Vugar Azizov
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Erlangen, Germany
| | - Nadine Otterbein
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Erlangen, Germany
| | - Sébastien Lucas
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Erlangen, Germany
| | - Manfred Rauh
- Department of Allergy and Pneumology, Children’s Hospital, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Georg Schett
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Erlangen, Germany
| | - Heiko Bruns
- Department of Internal Medicine 5, University Hospital Erlangen, Erlangen, Germany
| | - Mario M. Zaiss
- Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Erlangen, Germany
- *Correspondence: Mario M. Zaiss,
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Trefely S, Huber K, Liu J, Noji M, Stransky S, Singh J, Doan MT, Lovell CD, von Krusenstiern E, Jiang H, Bostwick A, Pepper HL, Izzo L, Zhao S, Xu JP, Bedi KC, Rame JE, Bogner-Strauss JG, Mesaros C, Sidoli S, Wellen KE, Snyder NW. Quantitative subcellular acyl-CoA analysis reveals distinct nuclear metabolism and isoleucine-dependent histone propionylation. Mol Cell 2022; 82:447-462.e6. [PMID: 34856123 PMCID: PMC8950487 DOI: 10.1016/j.molcel.2021.11.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/24/2021] [Accepted: 11/03/2021] [Indexed: 01/22/2023]
Abstract
Quantitative subcellular metabolomic measurements can explain the roles of metabolites in cellular processes but are subject to multiple confounding factors. We developed stable isotope labeling of essential nutrients in cell culture-subcellular fractionation (SILEC-SF), which uses isotope-labeled internal standard controls that are present throughout fractionation and processing to quantify acyl-coenzyme A (acyl-CoA) thioesters in subcellular compartments by liquid chromatography-mass spectrometry. We tested SILEC-SF in a range of sample types and examined the compartmentalized responses to oxygen tension, cellular differentiation, and nutrient availability. Application of SILEC-SF to the challenging analysis of the nuclear compartment revealed a nuclear acyl-CoA profile distinct from that of the cytosol, with notable nuclear enrichment of propionyl-CoA. Using isotope tracing, we identified the branched chain amino acid isoleucine as a major metabolic source of nuclear propionyl-CoA and histone propionylation, thus revealing a new mechanism of crosstalk between metabolism and the epigenome.
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Affiliation(s)
- Sophie Trefely
- Center for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA; Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Katharina Huber
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute of Biochemistry, Graz University of Technology, Graz 8010, Austria
| | - Joyce Liu
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Biochemistry and Molecular Biophysics Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael Noji
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Stephanie Stransky
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Jay Singh
- Center for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Mary T Doan
- Center for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Claudia D Lovell
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Eliana von Krusenstiern
- Center for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Helen Jiang
- Center for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Anna Bostwick
- Center for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Hannah L Pepper
- Center for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Luke Izzo
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Steven Zhao
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jimmy P Xu
- Department of Pharmacology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kenneth C Bedi
- Penn Medicine Heart Failure Mechanical Assist and Cardiac Transplant Center, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - J Eduardo Rame
- Penn Medicine Heart Failure Mechanical Assist and Cardiac Transplant Center, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Clementina Mesaros
- Department of Pharmacology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Simone Sidoli
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Kathryn E Wellen
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Epigenetics Institute, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Nathaniel W Snyder
- Center for Metabolic Disease Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA.
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