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Chen X, Zhong J, Lv Y, Wei L, Zhou H, Yang Y, Chi J, Lee Z, Wu H, Zhang H. Epigenetic age acceleration mediates the association between low-grade systemic inflammation and cardiovascular diseases: insight from the NHANES 1999-2002. Clin Epigenetics 2025; 17:89. [PMID: 40450302 DOI: 10.1186/s13148-025-01895-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: 02/17/2025] [Accepted: 05/08/2025] [Indexed: 06/03/2025] Open
Abstract
BACKGROUND Currently, with the global aging of the population, inflammation, recognized as a hallmark in age-related diseases, has been studied and linked to cardiovascular diseases (CVD). However, limited evidence on whether inflammation modifies epigenetic aging and affects CVD risk. METHODS This study included 404 CVD patients and 1941 non-CVD individuals from the 1999-2002 National Health and Nutrition Examination Survey cross-sectional data. Low-grade systemic inflammation was assessed using C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), and systemic inflammation response index (SIRI). Epigenetic age accelerations (EAAs) were calculated as the residuals between chronological and epigenetic ages: Horvath age acceleration (AgeAccel), AgeAccelHannum, and AgeAccelPheno. Weighted linear and logistic regression analyzed the associations between exposures and outcomes, with mediating effects assessed using the Sobel test. RESULTS After adjusting confoundings, the log-transformed NLR and SIRI were positively associated with CVD risk, and the odds ratio (OR) ranges from 1.260 to 1.354 (all P < 0.05). Furthermore, the ln-transformed CRP was positively associated with AgeAccelHannum and AgeAccelPheno, and the coefficient (β) ranges from 0.505 to 1.304 (all P < 0.05); the ln-transformed NLR and SIRI were positively associated with all three EAAs, and the β ranges from 0.392 to 2.212 (all P < 0.005). Additionally, 1-unit increase in AgeAccelHannum and AgeAccelPheno was associated with 2.8% (OR: 1.028, 95% CI 1.007-1.049, P = 0.011) and 3.5% (OR: 1.035, 95% CI 1.014-1.056, P = 0.002) increase in CVD risk, respectively. After adjusting confoundings, mediation analysis showed that AgeAccelHannum mediates 10.44% (P = 0.046) of the association between NLR and CVD risk; and AgeAccelPheno mediates 24.03% (P = 0.009) and 18.16% (P = 0.015) of the NLR-CVD and SIRI-CVD risk associations, respectively. CONCLUSION Our results demonstrate that EAAs mediate the association between systemic inflammation and CVD risk, highlighting the potential of a multi-target approach to inflammation and epigenetic modifications for personalized management to reduce CVD risk.
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Affiliation(s)
- Xiaolang Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jin Zhong
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yingnan Lv
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, University Engineering Research Center of Digital Medicine and Healthcare, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Lancheng Wei
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Huijiao Zhou
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yongmei Yang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jinfan Chi
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Zhen Lee
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Huabei Wu
- School of General Practice, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China.
| | - Haiying Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, No. 22, Shuangyong Road, Nanning, 530021, Guangxi, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Department of Public Health, School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, Guangxi, China.
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Palczewski MB, Kuschman HP, Hoffman BM, Kathiresan V, Yang H, Glynn SA, Wilson DL, Kool ET, Montfort WR, Chang J, Petenkaya A, Chronis C, Cundari TR, Sappa S, Islam K, McVicar DW, Fan Y, Chen Q, Meerzaman D, Sierk M, Thomas DD. Nitric oxide inhibits ten-eleven translocation DNA demethylases to regulate 5mC and 5hmC across the genome. Nat Commun 2025; 16:1732. [PMID: 39966373 PMCID: PMC11836389 DOI: 10.1038/s41467-025-56928-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 02/05/2025] [Indexed: 02/20/2025] Open
Abstract
DNA methylation at cytosine bases (5-methylcytosine, 5mC) is a heritable epigenetic mark regulating gene expression. While enzymes that metabolize 5mC are well-characterized, endogenous signaling molecules that regulate DNA methylation machinery have not been described. We report that physiological nitric oxide (NO) concentrations reversibly inhibit the DNA demethylases TET and ALKBH2 by binding to the mononuclear non-heme iron atom forming a dinitrosyliron complex (DNIC) and preventing cosubstrates from binding. In cancer cells treated with exogenous NO, or endogenously synthesizing NO, 5mC and 5-hydroxymethylcytosine (5hmC) increase, with no changes in DNA methyltransferase activity. 5mC is also significantly increased in NO-producing patient-derived xenograft tumors from mice. Genome-wide methylome analysis of cells chronically treated with NO (10 days) shows enrichment of 5mC and 5hmC at gene-regulatory loci, correlating with altered expression of NO-regulated tumor-associated genes. Regulation of DNA methylation is distinctly different from canonical NO signaling and represents a unique epigenetic role for NO.
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Affiliation(s)
- Marianne B Palczewski
- Department of Pharmaceutical Sciences, University of Illinois Chicago, College of Pharmacy, Chicago, IL, USA
| | - Hannah Petraitis Kuschman
- Department of Pharmaceutical Sciences, University of Illinois Chicago, College of Pharmacy, Chicago, IL, USA
| | - Brian M Hoffman
- Department of Chemistry, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
| | - Venkatesan Kathiresan
- Department of Chemistry, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
| | - Hao Yang
- Department of Chemistry, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
| | - Sharon A Glynn
- Discipline of Pathology, University of Galway, College of Medicine, Nursing and Health Sciences, School of Medicine, Galway, Ireland
| | - David L Wilson
- Department of Chemistry, Stanford University, School of Humanities and Sciences, Stanford, CA, USA
| | - Eric T Kool
- Department of Chemistry, Stanford University, School of Humanities and Sciences, Stanford, CA, USA
| | - William R Montfort
- Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ, USA
| | - Jenny Chang
- Dr. Mary and Neal Cancer Center at Houston Methodist, Weill Cornell Medical College, Houston, NY, USA
| | - Aydolun Petenkaya
- Department of Biomedical Engineering, University of Illinois Chicago, College of Engineering, Chicago, IL, USA
| | - Constantinos Chronis
- Department of Biochemistry and Molecular Genetics, University of Illinois Chicago, College of Medicine, Chicago, IL, USA
| | - Thomas R Cundari
- Department of Chemistry, University of North Texas, Denton, TX, USA
| | - Sushma Sappa
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kabirul Islam
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel W McVicar
- Cancer Innovation Laboratory, National Cancer Institute, Center for Cancer Research, Frederick, MD, USA
| | - Yu Fan
- National Cancer Institute, Center for Biomedical Informatics and Information Technology, Bethesda, USA
| | - Qingrong Chen
- National Cancer Institute, Center for Biomedical Informatics and Information Technology, Bethesda, USA
| | - Daoud Meerzaman
- Cancer Innovation Laboratory, National Cancer Institute, Center for Cancer Research, Frederick, MD, USA
| | - Michael Sierk
- Cancer Innovation Laboratory, National Cancer Institute, Center for Cancer Research, Frederick, MD, USA
| | - Douglas D Thomas
- Department of Pharmaceutical Sciences, University of Illinois Chicago, College of Pharmacy, Chicago, IL, USA.
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Dong H, You Y, Yang X, Mei L, Che Y, Wang N, Peng T, He Y. Total Synthesis and Anti-Inflammatory Activity of Tectoridin and Related Isoflavone Glucosides. JOURNAL OF NATURAL PRODUCTS 2025; 88:94-102. [PMID: 39731557 DOI: 10.1021/acs.jnatprod.4c01108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2024]
Abstract
The first total syntheses of four isoflavone glucosides, tectoridin (1), tectoridin A (2), tectorigenin 7-O-β-d-glucopyranosyl-12-O-β-d-glucopyranoside (3), and isotectroigenin 7-O-β-d-glucopyranoside (4), have been accomplished. Key steps in our synthetic approach include a regioselective halogenation reaction, followed by methanolysis to introduce the -OCH3 group into isoflavone frameworks and a PTC-promoted stereoselective glycosidation to establish glycosidic bonds. The synthesized isoflavone glucosides (1-4) and their corresponding aglycones (32 and 34) were evaluated for anti-inflammatory activity against nitric oxide (NO), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and interleukin-1 β (IL-1β) in lipopolysaccharide (LPS)-induced RAW264.7 cells. Aglycones 32 and 34 exhibited stronger anti-inflammatory activity in vitro compared to isoflavone glucosides 1-4.
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Affiliation(s)
- Hongbo Dong
- Antibiotics Research and Re-evaluation Key Laboratory of Sichuan Province, School of Pharmacy, Chengdu University, Chengdu 610106, China
- Anti-infective Agent Creation Engineering Research Centre of Sichuan Province, School of Pharmacy, Chengdu University, Chengdu 610106, China
| | - Yuanwei You
- Anti-infective Agent Creation Engineering Research Centre of Sichuan Province, School of Pharmacy, Chengdu University, Chengdu 610106, China
| | - Xiuli Yang
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 610057, China
| | - Ling Mei
- Anti-infective Agent Creation Engineering Research Centre of Sichuan Province, School of Pharmacy, Chengdu University, Chengdu 610106, China
| | - Yufei Che
- Antibiotics Research and Re-evaluation Key Laboratory of Sichuan Province, School of Pharmacy, Chengdu University, Chengdu 610106, China
| | - Na Wang
- Anti-infective Agent Creation Engineering Research Centre of Sichuan Province, School of Pharmacy, Chengdu University, Chengdu 610106, China
| | - Ting Peng
- Antibiotics Research and Re-evaluation Key Laboratory of Sichuan Province, School of Pharmacy, Chengdu University, Chengdu 610106, China
| | - Yujiao He
- Anti-infective Agent Creation Engineering Research Centre of Sichuan Province, School of Pharmacy, Chengdu University, Chengdu 610106, China
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