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Ma Z, He Y, Li Y, Wang Q, Fang M, Yang Q, Gong Z, Xu L. Effects of Deoxynivalenol and Its Acetylated Derivatives on Lipid Metabolism in Human Normal Hepatocytes. Toxins (Basel) 2024; 16:294. [PMID: 39057934 PMCID: PMC11281666 DOI: 10.3390/toxins16070294] [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: 04/30/2024] [Revised: 06/08/2024] [Accepted: 06/14/2024] [Indexed: 07/28/2024] Open
Abstract
Deoxynivalenol (DON), 3-acetyldeoxynivalenol (3-ADON) and 15-acetyldeoxynivalenol (15-ADON) belong to type B trichothecenes that are widely detected in agricultural products as one of the most common classes of mycotoxins. In the present study, we aimed to characterize the alteration of lipid metabolism in normal human hepatocytes by poisoning with DON and its acetylated derivatives. After verifying the hepatotoxicity of the three toxins, DON, 15-ADON, and 3-ADON, the mRNA expression was determined by transcriptomics, and the results showed that DON and 15-ADON had a significant regulatory effect on the transcriptome, in which glycerophospholipid metabolism pathway and phospholipase D signaling pathways have not been reported in studies of DON and its acetylated derivatives. For further validation, we explored lipid metabolism in depth and found that PC (15:0/16:0), PC (16:1/18:3), PC (18:1/22:6), PC (16:0/16:0), PC (16:0/16:1), PC (16:1/18:1), PC (14:0/18:2), PE (14:0/16:0) and PE (18:1/18:3) were downregulated for all nine lipids. Combined with the transcriptome results, we found that hepatic steatosis induced by the three toxins, DON, 15-ADON and 3-ADON, was associated with altered expression of genes related to lipid oxidation, lipogenesis and lipolysis, and their effects on lipid metabolism in L-02 cells were mainly realized through the PC-PE cycle.
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Affiliation(s)
- Zhaoqing Ma
- College of Food Scienceand Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Yuyun He
- College of Food Scienceand Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Yuzhi Li
- College of Food Scienceand Engineering, Wuhan Polytechnic University, Wuhan 430023, China
- Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan 430023, China
- Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan 430023, China
- Key Laboratory of Detection Technology of Focus Chemical Hazards in Animal-Derived Food for State Market Regulation, Wuhan 430075, China
| | - Qiao Wang
- College of Food Scienceand Engineering, Wuhan Polytechnic University, Wuhan 430023, China
- Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan 430023, China
- Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan 430023, China
| | - Min Fang
- College of Food Scienceand Engineering, Wuhan Polytechnic University, Wuhan 430023, China
- Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan 430023, China
- Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan 430023, China
| | - Qing Yang
- College of Food Scienceand Engineering, Wuhan Polytechnic University, Wuhan 430023, China
- Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan 430023, China
- Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan 430023, China
| | - Zhiyong Gong
- College of Food Scienceand Engineering, Wuhan Polytechnic University, Wuhan 430023, China
- Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan 430023, China
- Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan 430023, China
| | - Lin Xu
- College of Food Scienceand Engineering, Wuhan Polytechnic University, Wuhan 430023, China
- Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan 430023, China
- Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan 430023, China
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Du S, Chen X, Ren R, Li L, Zhang B, Wang Q, Meng Y, Qiu Z, Wang G, Zheng G, Hu J. Integration of network pharmacology, lipidomics, and transcriptomics analysis to reveal the mechanisms underlying the amelioration of AKT-induced nonalcoholic fatty liver disease by total flavonoids in vine tea. Food Funct 2024; 15:5158-5174. [PMID: 38630029 DOI: 10.1039/d4fo00586d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the main reason for chronic liver diseases and malignancies. Currently, there is a lack of approved drugs for the prevention or treatment of NAFLD. Vine tea (Ampelopsis grossedentata) has been used as a traditional Chinese beverage for centuries. Vine tea carries out several biological activities including the regulation of plasma lipids and blood glucose, hepato-protective function, and anti-tumor activity and contains the highest content of flavonoids. However, the underlying mechanisms of total flavonoids from vine tea (TF) in the attenuation of NAFLD remain unclear. Therefore, we investigated the interventions and mechanisms of TF in mice with NAFLD using an integrated analysis of network pharmacology, lipidomics, and transcriptomics. Staining and biochemical tests revealed a significant increase in AKT-overexpression-induced (abbreviated as AKT-induced) NAFLD in mice. Lipid accumulation in hepatic intracellular vacuoles was alleviated after TF treatment. In addition, TF reduced the hepatic and serum triglyceride levels in mice with AKT-induced NAFLD. Lipidomics results showed 32 differential lipids in the liver, mainly including triglycerides (TG), diglycerides (DG), phosphatidylcholine (PC), and phosphatidylethanolamine (PE). Transcriptomic analysis revealed that 314 differentially expressed genes were commonly upregulated in the AKT group and downregulated in the TF group. The differential regulation of lipids by the genes Pparg, Scd1, Chpt1, Dgkz, and Pla2g12b was further revealed by network enrichment analysis and confirmed by RT-qPCR. Furthermore, we used immunohistochemistry (IHC) to detect changes in the protein levels of the key proteins PPARγ and SCD1. In summary, TF can improve hepatic steatosis by targeting the PPAR signaling pathway, thereby reducing de novo fatty acid synthesis and modulating the glycerophospholipid metabolism.
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Affiliation(s)
- Siyu Du
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Center of Traditional Chinese Medicine Modernization for Liver Diseases, Hubei University of Chinese Medicine, Wuhan, People's Republic of China
- Hubei Shizhen Laboratory, Wuhan, People's Republic of China
| | - Xin Chen
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Hubei Shizhen Laboratory, Wuhan, People's Republic of China
| | - Rumeng Ren
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Center of Traditional Chinese Medicine Modernization for Liver Diseases, Hubei University of Chinese Medicine, Wuhan, People's Republic of China
| | - Li Li
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Center of Traditional Chinese Medicine Modernization for Liver Diseases, Hubei University of Chinese Medicine, Wuhan, People's Republic of China
| | - Baohui Zhang
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Hubei Shizhen Laboratory, Wuhan, People's Republic of China
| | - Qi Wang
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Hubei Shizhen Laboratory, Wuhan, People's Republic of China
| | - Yan Meng
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Center of Traditional Chinese Medicine Modernization for Liver Diseases, Hubei University of Chinese Medicine, Wuhan, People's Republic of China
- Hubei Shizhen Laboratory, Wuhan, People's Republic of China
| | - Zhenpeng Qiu
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Center of Traditional Chinese Medicine Modernization for Liver Diseases, Hubei University of Chinese Medicine, Wuhan, People's Republic of China
- Hubei Shizhen Laboratory, Wuhan, People's Republic of China
| | - Guihong Wang
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
| | - Guohua Zheng
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Center of Traditional Chinese Medicine Modernization for Liver Diseases, Hubei University of Chinese Medicine, Wuhan, People's Republic of China
- Hubei Shizhen Laboratory, Wuhan, People's Republic of China
| | - Junjie Hu
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
- Center of Traditional Chinese Medicine Modernization for Liver Diseases, Hubei University of Chinese Medicine, Wuhan, People's Republic of China
- Hubei Shizhen Laboratory, Wuhan, People's Republic of China
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Li Y, Wu X, Pan J, Gong L, Min D. Hepatocyte steatosis activates macrophage inflammatory response accelerating atherosclerosis development. Zhejiang Da Xue Xue Bao Yi Xue Ban 2023; 52:751-765. [PMID: 38105677 PMCID: PMC10764189 DOI: 10.3724/zdxbyxb-2023-0315] [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: 07/08/2023] [Accepted: 09/15/2023] [Indexed: 12/19/2023]
Abstract
OBJECTIVES To investigate the mechanism of comorbidity between non-alcoholic fatty liver disease (NAFLD) and atherosclerosis (AS) based on metabolomics and network pharmacology. METHODS Six ApoE-/- mice were fed with a high-fat diet for 16 weeks as a comorbid model of NAFLD and AS (model group). Normal diet was given to 6 wildtype C57BL/6J mice (control group). Serum samples were taken from both groups for a non-targeted metabolomics assay to identify differential metabolites. Network pharmacology was applied to explore the possible mechanistic effects of differential metabolites on AS and NAFLD. An in vitro comorbid cell model was constructed using NCTC1469 cells and RAW264.7 macrophage. Cellular lipid accumulation, cell viability, morphology and function of mitochondria were detected with oil red O staining, CCK-8 assay, transmission electron microscopy and JC-1 staining, respectively. RESULTS A total of 85 differential metabolites associated with comorbidity of NAFLD and AS were identified. The top 20 differential metabolites were subjected to network pharmacology analysis, which showed that the core targets of differential metabolites related to AS and NAFLD were STAT3, EGFR, MAPK14, PPARG, NFKB1, PTGS2, ESR1, PPARA, PTPN1 and SCD. The Kyoto Encyclopedia of Genes and Genomes showed the top 10 signaling pathways were PPAR signaling pathway, AGE-RAGE signaling pathway in diabetic complications, alcoholic liver disease, prolactin signaling pathway, insulin resistance, TNF signaling pathway, hepatitis B, the relax in signaling pathway, IL-17 signaling pathway and NAFLD. Experimental validation showed that lipid metabolism-related genes PPARG, PPARA, PTPN1, and SCD were significantly changed in hepatocyte models, and steatotic hepatocytes affected the expression of macrophage inflammation-related genes STAT3, NFKB1 and PTGS2; steatotic hepatocytes promoted the formation of foam cells and exacerbated the accumulation of lipids in foam cells; the disrupted morphology, impaired function, and increased reactive oxygen species production were observed in steatotic hepatocyte mitochondria, while the formation of foam cells aggravated mitochondrial damage. CONCLUSIONS Abnormal lipid metabolism and inflammatory response are distinctive features of comorbid AS and NAFLD. Hepatocyte steatosis causes mitochondrial damage, which leads to mitochondrial dysfunction, increased reactive oxygen species and activation of macrophage inflammatory response, resulting in the acceleration of AS development.
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Affiliation(s)
- Yue Li
- Department of Cardiology, the First Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, China.
| | - Xize Wu
- Department of Critical Care Medicine, Nantong Hospital of Traditional Chinese Medicine, Nantong 226000, Jiangsu Province, China
- Graduate School of Liaoning University of Traditional Chinese Medicine, Shenyang 110847, China
| | - Jiaxiang Pan
- Department of Cardiology, the First Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, China
| | - Lihong Gong
- Department of Cardiology, the First Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, China.
| | - Dongyu Min
- Experimental Center of Traditional Chinese Medicine, the First Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, China.
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Zeleznik OA, Welling DB, Stankovic K, Frueh L, Balasubramanian R, Curhan GC, Curhan SG. Association of Plasma Metabolomic Biomarkers With Persistent Tinnitus: A Population-Based Case-Control Study. JAMA Otolaryngol Head Neck Surg 2023; 149:404-415. [PMID: 36928544 PMCID: PMC10020935 DOI: 10.1001/jamaoto.2023.0052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 01/17/2023] [Indexed: 03/18/2023]
Abstract
Importance Persistent tinnitus is common, disabling, and difficult to treat. Objective To evaluate the association between circulating metabolites and persistent tinnitus. Design, Setting, and Participants This was a population-based case-control study of 6477 women who were participants in the Nurses' Health Study (NHS) and NHS II with metabolomic profiles and tinnitus data. Information on tinnitus onset and frequency was collected on biennial questionnaires (2009-2017). For cases, metabolomic profiles were measured (2015-2021) in blood samples collected after the date of the participant's first report of persistent tinnitus (NHS, 1989-1999 and 2010-2012; NHS II, 1996-1999). Data analyses were performed from January 24, 2022, to January 14, 2023. Exposures In total, 466 plasma metabolites from 488 cases of persistent tinnitus and 5989 controls were profiled using 3 complementary liquid chromatography tandem mass spectrometry approaches. Main Outcomes and Measures Logistic regression was used to estimate odds ratios (ORs) of persistent tinnitus (per 1 SD increase in metabolite values) and 95% CIs for each individual metabolite. Metabolite set enrichment analysis was used to identify metabolite classes enriched for associations with tinnitus. Results Of the 6477 study participants (mean [SD] age, 52 [9] years; 6477 [100%] female; 6121 [95%] White individuals) who were registered nurses, 488 reported experiencing daily persistent (≥5 minutes) tinnitus. Compared with participants with no tinnitus (5989 controls), those with persistent tinnitus were slightly older (53.0 vs 51.8 years) and more likely to be postmenopausal, using oral postmenopausal hormone therapy, and have type 2 diabetes, hypertension, and/or hearing loss at baseline. Compared with controls, homocitrulline (OR, 1.32; (95% CI, 1.16-1.50); C38:6 phosphatidylethanolamine (PE; OR, 1.24; 95% CIs, 1.12-1.38), C52:6 triglyceride (TAG; OR, 1.22; 95% CIs, 1.10-1.36), C36:4 PE (OR, 1.22; 95% CIs, 1.10-1.35), C40:6 PE (OR, 1.22; 95% CIs, 1.09-1.35), and C56:7 TAG (OR, 1.21; 95% CIs, 1.09-1.34) were positively associated, whereas α-keto-β-methylvalerate (OR, 0.68; 95% CIs, 0.56-0.82) and levulinate (OR, 0.60; 95% CIs, 0.46-0.79) were inversely associated with persistent tinnitus. Among metabolite classes, TAGs (normalized enrichment score [NES], 2.68), PEs (NES, 2.48), and diglycerides (NES, 1.65) were positively associated, whereas phosphatidylcholine plasmalogens (NES, -1.91), lysophosphatidylcholines (NES, -2.23), and cholesteryl esters (NES,-2.31) were inversely associated with persistent tinnitus. Conclusions and Relevance This population-based case-control study of metabolomic profiles and tinnitus identified novel plasma metabolites and metabolite classes that were significantly associated with persistent tinnitus, suggesting that metabolomic studies may help improve understanding of tinnitus pathophysiology and identify therapeutic targets for this challenging disorder.
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Affiliation(s)
- Oana A. Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - D. Bradley Welling
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Otolaryngology–Head and Neck Surgery, Massachusetts Eye and Ear, Boston
| | - Konstantina Stankovic
- Department of Otolaryngology–Head and Neck Surgery, Stanford University, Palo Alto, California
| | - Lisa Frueh
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst
| | - Gary C. Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Sharon G. Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
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Zhou Y, Li R, Zheng Y, Song M, Zhang S, Sun Y, Wei M, Fan X. Diosgenin Ameliorates Non-alcoholic Fatty Liver Disease by Modulating the Gut Microbiota and Related Lipid/Amino Acid Metabolism in High Fat Diet-Fed Rats. Front Pharmacol 2022; 13:854790. [PMID: 35548355 PMCID: PMC9081533 DOI: 10.3389/fphar.2022.854790] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/01/2022] [Indexed: 12/13/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a metabolic disease closely associated with dietary habits. Diosgenin is abundant in yam, a common food and traditional Chinese medicine. The molecular mechanism of diosgenin on NAFLD has been preliminarily explored. However, the effect of diosgenin on metabolism and gut microbiota in NAFLD has not been reported. This study confirmed that diosgenin could suppress excessive weight gain, reduce serum levels of total cholesterol and triglycerides, and decrease liver fat accumulation in high-fat diet-induced NAFLD rats. Moreover, fecal metabolomics analysis suggested diosgenin improved abnormal lipid and amino acid metabolism. Bile acids, including lithocholic acid and ursodeoxycholic acid 3-sulfate that function as excretion, absorption, and transport of fats, were remarkably regulated by diosgenin. Aromatic amino acid and lysine metabolism was regulated by diosgenin as well. 16S rRNA gene sequencing analysis demonstrated that diosgenin restored gut microbiota disorder, especially Globicatella, Phascolarctobacterium, Pseudochrobactrum, and uncultured_bacterium_f_Prevotellaceae at the genus level. Additionally, these regulated bacterial genera showed significant correlations with lipid and amino acid metabolism-related biomarkers. This study further confirmed the significant effect of diosgenin on NAFLD, and provided a new perspective for the mechanism.
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Affiliation(s)
- Yuan Zhou
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Ruoqi Li
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yingyi Zheng
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Meiying Song
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Shanshan Zhang
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yunxia Sun
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Mengying Wei
- Department of Pharmacology and Department of Gastroenterology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiang Fan
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, Zhejiang Chinese Medical University, Hangzhou, China
- *Correspondence: Xiang Fan,
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