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Jiang J, Shu H, Wang DW, Hui R, Li C, Ran X, Wang H, Zhang J, Nie S, Cui G, Xiang D, Shao Q, Xu S, Zhou N, Li Y, Gao W, Chen Y, Bian Y, Wang G, Xia L, Wang Y, Zhao C, Zhang Z, Zhao Y, Wang J, Chen S, Jiang H, Chen J, Du X, Chen M, Sun Y, Li S, Ding H, Ma X, Zeng H, Lin L, Zhou S, Ma L, Tao L, Chen J, Zhou Y, Guo X. Chinese Society of Cardiology guidelines on the diagnosis and treatment of adult fulminant myocarditis. SCIENCE CHINA. LIFE SCIENCES 2024; 67:913-939. [PMID: 38332216 DOI: 10.1007/s11427-023-2421-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/25/2023] [Indexed: 02/10/2024]
Abstract
Fulminant myocarditis is an acute diffuse inflammatory disease of myocardium. It is characterized by acute onset, rapid progress and high risk of death. Its pathogenesis involves excessive immune activation of the innate immune system and formation of inflammatory storm. According to China's practical experience, the adoption of the "life support-based comprehensive treatment regimen" (with mechanical circulation support and immunomodulation therapy as the core) can significantly improve the survival rate and long-term prognosis. Special emphasis is placed on very early identification,very early diagnosis,very early prediction and very early treatment.
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Affiliation(s)
- Jiangang Jiang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hongyang Shu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dao Wen Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Rutai Hui
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Chenze Li
- Zhongnan Hospital of Wuhan University, Wuhan, 430062, China
| | - Xiao Ran
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hong Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jing Zhang
- Fuwai Huazhong Cardiovascular Hospital, Zhengzhou, 450003, China
| | - Shaoping Nie
- Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Guanglin Cui
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dingcheng Xiang
- Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, 510010, China
| | - Qun Shao
- Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Shengyong Xu
- Union Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Ning Zhou
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuming Li
- Taida Hospital, Tianjin, 300457, China
| | - Wei Gao
- Peking University Third Hospital, Beijing, 100191, China
| | - Yuguo Chen
- Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Yuan Bian
- Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Guoping Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Liming Xia
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yan Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Chunxia Zhao
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhiren Zhang
- Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Yuhua Zhao
- Kanghua Hospital, Dongguan, Guangzhou, 523080, China
| | - Jianan Wang
- Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Shaoliang Chen
- Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China
| | - Hong Jiang
- Renmin Hospital of Wuhan University, Wuhan, 430060, Wuhan, China
| | - Jing Chen
- Renmin Hospital of Wuhan University, Wuhan, 430060, Wuhan, China
| | - Xianjin Du
- Renmin Hospital of Wuhan University, Wuhan, 430060, Wuhan, China
| | - Mao Chen
- West China Hospital, Sichuan University, Chengdu, 610044, China
| | - Yinxian Sun
- First Hospital of China Medical University, Shenyang, 110002, China
| | - Sheng Li
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hu Ding
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xueping Ma
- General Hospital of Ningxia Medical University, Yinchuan, 750003, China
| | - Hesong Zeng
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Li Lin
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Shenghua Zhou
- The Second Xiangya Hospital, Central South University, Changsha, 410012, China
| | - Likun Ma
- The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230002, China
| | - Ling Tao
- The First Affiliated Hospital of Air Force Medical University, Xi'an, 710032, China
| | - Juan Chen
- Central Hospital of Wuhan City, Wuhan, 430014, China
| | - Yiwu Zhou
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiaomei Guo
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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Kijpaisalratana N, Ament Z, Patki A, Bhave VM, Jones AC, Couch CA, Guarniz ALG, Cushman M, Long DL, Judd SE, Irvin MR, Kimberly WT. Plasma Metabolites and Life's Simple 7 in REGARDS. Stroke 2024; 55:1191-1199. [PMID: 38482689 PMCID: PMC11039367 DOI: 10.1161/strokeaha.123.044714] [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: 08/02/2023] [Accepted: 01/31/2024] [Indexed: 04/24/2024]
Abstract
BACKGROUND The American Heart Association's Life's Simple 7 (LS7) is a health metric that captures important factors associated with cardiovascular and cerebrovascular health. Previous studies highlight the potential of plasma metabolites to serve as a marker for lifestyle and health behavior that could be a target for stroke prevention. The objectives of this study were to identify metabolites that were associated with LS7 and incident ischemic stroke and mediate the relationship between the two. METHODS Targeted metabolomic profiling of 162 metabolites by liquid chromatography-tandem mass spectrometry was used to identify candidate metabolites in a stroke case-cohort nested within the REGARDS study (Reasons for Geographic and Racial Differences in Stroke). Weighted linear regression and weighted Cox proportional hazard models were used to identify metabolites that were associated with LS7 and incident ischemic stroke, respectively. Effect measures were based on a 1-SD change in metabolite level. Metabolite mediators were examined using inverse odds ratio weighting mediation analysis. RESULTS The study comprised 1075 ischemic stroke cases and 968 participants in the random cohort sample. Three out of 162 metabolites were associated with the overall LS7 score including guanosine (β, -0.46 [95% CI, -0.65 to -0.27]; P=2.87×10-6), cotinine (β, -0.49 [95% CI, -0.70 to -0.28]; P=7.74×10-6), and acetylneuraminic acid (β, -0.59 [95% CI, -0.77 to -0.42]; P=4.29×10-11). Guanosine (hazard ratio, 1.47 [95% CI, 1.31-1.65]; P=6.97×10-11), cotinine (hazard ratio, 1.30 [95% CI, 1.16-1.44]; P=2.09×10-6), and acetylneuraminic acid (hazard ratio, 1.29 [95% CI, 1.15-1.45]; P=9.24×10-6) were associated with incident ischemic stroke. The mediation analysis identified guanosine (27% mediation, indirect effect; P=0.002), cotinine (30% mediation, indirect effect; P=0.004), and acetylneurminic acid (22% mediation, indirect effect; P=0.041) partially mediated the relationship between LS7 and ischemic stroke. CONCLUSIONS We identified guanosine, cotinine, and acetylneuraminic acid that were associated with LS7, incident ischemic stroke, and mediated the relationship between LS7 and ischemic stroke.
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Affiliation(s)
- Naruchorn Kijpaisalratana
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Zsuzsanna Ament
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Amit Patki
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | | | - Alana C Jones
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Catharine A. Couch
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | | | - Mary Cushman
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT
| | - D. Leann Long
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Suzanne E. Judd
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - M. Ryan Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - W. Taylor Kimberly
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA
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Qian JF, Liang SQ, Wang QY, Xu JC, Luo W, Huang WJ, Wu GJ, Liang G. Isoproterenol induces MD2 activation by β-AR-cAMP-PKA-ROS signalling axis in cardiomyocytes and macrophages drives inflammatory heart failure. Acta Pharmacol Sin 2024; 45:531-544. [PMID: 37919475 PMCID: PMC10834947 DOI: 10.1038/s41401-023-01179-3] [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: 03/01/2023] [Accepted: 09/29/2023] [Indexed: 11/04/2023] Open
Abstract
Cardiac inflammation contributes to heart failure (HF) induced by isoproterenol (ISO) through activating β-adrenergic receptors (β-AR). Recent evidence shows that myeloid differentiation factor 2 (MD2), a key protein in endotoxin-induced inflammation, mediates inflammatory heart diseases. In this study, we investigated the role of MD2 in ISO-β-AR-induced heart injuries and HF. Mice were infused with ISO (30 mg·kg-1·d-1) via osmotic mini-pumps for 2 weeks. We showed that MD2 in cardiomyocytes and cardiac macrophages was significantly increased and activated in the heart tissues of ISO-challenged mice. Either MD2 knockout or administration of MD2 inhibitor L6H21 (10 mg/kg every 2 days, i.g.) could prevent mouse hearts from ISO-induced inflammation, remodelling and dysfunction. Bone marrow transplantation study revealed that both cardiomyocyte MD2 and bone marrow-derived macrophage MD2 contributed to ISO-induced cardiac inflammation and injuries. In ISO-treated H9c2 cardiomyocyte-like cells, neonatal rat primary cardiomyocytes and primary mouse peritoneal macrophages, MD2 knockout or pre-treatment with L6H21 (10 μM) alleviated ISO-induced inflammatory responses, and the conditioned medium from ISO-challenged macrophages promoted the hypertrophy and fibrosis in cardiomyocytes and fibroblasts. We demonstrated that ISO induced MD2 activation in cardiomyocytes via β1-AR-cAMP-PKA-ROS signalling axis, and induced inflammatory responses in macrophages via β2-AR-cAMP-PKA-ROS axis. This study identifies MD2 as a key inflammatory mediator and a promising therapeutic target for ISO-induced heart failure.
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Affiliation(s)
- Jin-Fu Qian
- Department of Cardiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
| | - Shi-Qi Liang
- Department of Cardiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
| | - Qin-Yan Wang
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
| | - Jia-Chen Xu
- Department of Cardiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
| | - Wu Luo
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
- Medical Research Center, the First Affiliated Hospital, Wenzhou Medical University, Wenzhou, 325035, China
| | - Wei-Jian Huang
- Department of Cardiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China
| | - Gao-Jun Wu
- Department of Cardiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
| | - Guang Liang
- Department of Cardiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
- Chemical Biology Research Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
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Liu L, Xiang M, Cai X, Wu B, Chen C, Cai N, Ao D. Multi-omics analyses of gut microbiota via 16S rRNA gene sequencing, LC-MS/MS and diffusion tension imaging reveal aberrant microbiota-gut-brain axis in very low or extremely low birth weight infants with white matter injury. BMC Microbiol 2023; 23:387. [PMID: 38057706 DOI: 10.1186/s12866-023-03103-5] [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: 09/10/2023] [Accepted: 11/02/2023] [Indexed: 12/08/2023] Open
Abstract
OBJECTIVE The goal of this study was to comprehensively investigate the characteristics of gut microbiota dysbiosis and metabolites levels in very low or extremely low birth weight (VLBW/ELBW) infants with white matter injury (WMI). METHODS In this prospective cohort study, preterm infants with gestational age < 32 weeks and weight < 1.5 kg were investigated. Additionally, fecal samples were collected on days zero, 14d and 28d after admission to the intensive care unit. All subjects underwent brain scan via MRI and DTI at a corrected gestational age of 37 ~ 40 weeks. Based on the results of MRI examination, the VLBW/ELBW infants were divided into two groups: WMI and non-WMI. Finally, based on a multi-omics approach, we performed 16S rRNA gene sequencing, LC-MS/MS, and diffusion tension imaging to identify quantifiable and informative biomarkers for WMI. RESULT We enrolled 23 patients with and 48 patients without WMI. The results of 16S RNA sequencing revealed an increase in the number of Staphylococcus and Acinetobacter species in the fecal samples of infants with WMI, as well as increasing levels of S. caprae and A._johnsonii. LEfSe analysis (LDA ≥ 4) showed that the WMI group carried an abundance of Staphylococcus species including S. caprae, members of the phyla Bacteroidota and Actinobacteriota, and Acinetobacter species. A total of 139 metabolic markers were significantly and differentially expressed between WMI and nWMI. KEGG pathway enrichment analysis revealed that the WMI group showed significant downregulation of 17 metabolic pathways including biosynthesis of arginine and primary bile acids. The WMI group showed delayed brain myelination, especially in the paraventricular white matter and splenium of corpus callosum. Staphylococcus species may affect WMI by downregulating metabolites such as cholic acid, allocholic acid, and 1,3-butadiene. Gut microbiota such as Acinetobacter and Bacteroidetes may alter white matter structurally by upregulating metabolites such as cinobufagin. CONCLUSION Based on 16S RNA sequencing results, severe gut microbiota dysbiosis was observed in the WMI group. The results might reveal damage to potential signaling pathways of microbiota-gut-brain axis in gut microbiota. The mechanism was mediated via downregulation of the bile acid biosynthetic pathway.
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Affiliation(s)
- Ling Liu
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Min Xiang
- Department of Orthopedics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China
| | - Xiangsheng Cai
- Guangzhou Cadre Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, Guangdong, China
| | - Benqing Wu
- University of the Chinese Academy of Science-Shenzhen Hospital, Shenzhen, 518000, Guangdong, China
| | - Chaohong Chen
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Nali Cai
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Dang Ao
- Department of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524000, Guangdong, China.
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Wei H, Wu J, Wang H, Huang J, Li C, Zhang Y, Song Y, Zhou Z, Sun Y, Xiao L, Peng L, Chen C, Zhao C, Wang DW. Increased circulating phenylacetylglutamine concentration elevates the predictive value of cardiovascular event risk in heart failure patients. J Intern Med 2023; 294:515-530. [PMID: 37184278 DOI: 10.1111/joim.13653] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND Phenylacetylglutamine (PAGln)-a newly discovered microbial metabolite produced by phenylalanine metabolism-is reportedly associated with cardiovascular events via adrenergic receptors. Nonetheless, its association with cardiovascular outcomes in heart failure (HF) patients remains unknown. OBJECTIVES This study aimed to prospectively investigate the prognostic value of PAGln for HF. METHODS Plasma PAGln levels were quantified by liquid chromatography-tandem mass spectrometry. We first assessed the association between plasma PAGln levels and the incidence of adverse cardiovascular events in 3152 HF patients (including HF with preserved and reduced ejection fraction) over a median follow-up period of 2 years. The primary endpoint was the composite of cardiovascular death or heart transplantation. We then assessed the prognostic role of PAGln in addition to the classic biomarker N-terminal pro-B-type natriuretic peptide (NT-proBNP). The correlation between PAGln levels and β-blocker use was also investigated. RESULTS In total, 520 cardiovascular deaths or heart transplantations occurred in the HF cohort. Elevated PAGln levels were independently associated with a higher risk of the primary endpoint in a dose-response manner, regardless of HF subtype. Concurrent assessment of PAGln and NT-proBNP levels enhanced risk stratification among HF patients. PAGln further showed prognostic value at low NT-proBNP levels. Additionally, the interaction effects between PAGln and β-blocker use were not significant. CONCLUSIONS Plasma PAGln levels are an independent predictor of an increased risk of adverse cardiovascular events in HF. Our work could provide joint and complementary prognostic value to NT-proBNP levels in HF patients.
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Affiliation(s)
- Haoran Wei
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junfang Wu
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huiqing Wang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Jin Huang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Chenze Li
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Institute of Myocardial Injury and Repair, Wuhan University, Wuhan, China
| | - Yuxuan Zhang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Yaonan Song
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Zhitong Zhou
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Yang Sun
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Lei Xiao
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Liyuan Peng
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Chen Chen
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Chunxia Zhao
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Dao Wen Wang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
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Liu C, Ge P, Zeng C, Yu X, Zhai Y, Liu W, He Q, Li J, Liu X, Wang J, Ye X, Zhang Q, Wang R, Zhang Y, Zhao J, Zhang D. Correlation of Serum N-Acetylneuraminic Acid with the Risk of Moyamoya Disease. Brain Sci 2023; 13:913. [PMID: 37371391 DOI: 10.3390/brainsci13060913] [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: 04/23/2023] [Revised: 05/28/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
N-acetylneuraminic acid (Neu5Ac) is a functional metabolite and has been demonstrated to be a risk factor for cardiovascular diseases. It is not clear whether Neu5Ac is associated with a higher risk of cerebrovascular disorders, especially moyamoya disease (MMD). We sought to elucidate the association between serum Neu5Ac levels and MMD in a case-control study and to create a clinical risk model. In our study, we included 360 MMD patients and 89 matched healthy controls (HCs). We collected the participants' clinical characteristics, laboratory results, and serum Neu5Ac levels. Increased level of serum Neu5Ac was observed in the MMD patients (p = 0.001). After adjusting for traditional confounders, the risk of MMD (odds ratio [OR]: 1.395; 95% confidence interval [CI]: 1.141-1.706) increased with each increment in Neu5Ac level (per μmol/L). The area under the curve (AUC) values of the receiver operating characteristic (ROC) curves of the basic model plus Neu5Ac binary outcomes, Neu5Ac quartiles, and continuous Neu5Ac are 0.869, 0.863, and 0.873, respectively. Furthermore, including Neu5Ac in the model offers a substantial improvement in the risk reclassification and discrimination of MMD and its subtypes. A higher level of Neu5Ac was found to be associated with an increased risk of MMD and its clinical subtypes.
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Affiliation(s)
- Chenglong Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Chaofan Zeng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Xiaofan Yu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Yuanren Zhai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Wei Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Xingju Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Jia Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Xun Ye
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
| | - Dong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing 100070, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing 100070, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing 100070, China
- Department of Neurosurgery, Beijing Hospital, Beijing 100730, China
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7
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Chen L, Wang S, Zhang Y, Li Y, Zhang X, Ma J, Zou X, Yao T, Li S, Chen J, Zhou H, Wu L, Zhou Y, Zhang L. Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage. Front Cell Infect Microbiol 2022; 12:999627. [PMID: 36619742 PMCID: PMC9813413 DOI: 10.3389/fcimb.2022.999627] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022] Open
Abstract
Intracerebral hemorrhage (ICH) is the most devastating subtype of stroke, but effective prevention and treatment strategies are lacking. Recently, gut microbiome and its metabolitesis are considered to be an influencing factor of stroke. However, little is known about the effects of the gut microbiome on ICH and host metabolic activity. Therefore, we used 16S sequencing, macrogenomics sequencing and untargeted metabolomics to explore the differences in gut microbial-metabolome interactions between patients with intracerebral hemorrhage and healthy control populations. We found a significant decrease in the phylum of Firmicutes and a significant increase of Bacteroidetes in ICH patients. At the genus level, Streptococcus, Bifidobacterium, Akkermansia, and Lactobacillus were more abundant in ICH patients. Macrogenomic analysis revealed active glycosaminoglycan degradation, heme synthesis, galactose degradation, lipopolysaccharide core region synthesis, and beta-Lactam resistance in ICH patients. Serum untargeted metabolomic analysis combined with ROC curves showed that octanoylcarnitine, decanoylcarnitine, dodecanoylcarnitine, glyceric acid, pyruvic acid, aspartic acid, methylcysteine, pyroglutamic acid, 9E-tetradecenoic acid, N-Acetylneuraminic acid, and aconitic acid were the best markers for the diagnosis of ICH. Correlation analysis showed that microbiome enriched in the gut of ICH patients were significantly correlated with serum metabolites, revealing a close correlation between the gut microbiome of ICH patients and the host metabolome, and significant differences from the healthy population. microbiota-host co-metabolites including pyruvic acid and 9E-tetradecenoic acid is associated with the the National Institutes of Health Stroke Scale (NIHSS) scores. In conclusion, microbiome-related metabolites in ICH patients was associated with the severity of ICH, the microbiota-host co-metabolites may be a potential may be potential therapeutic targets.
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Affiliation(s)
- Lei Chen
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Sai Wang
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yupeng Zhang
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ye Li
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiangbin Zhang
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Junyi Ma
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xuelun Zou
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - TianXing Yao
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Si Li
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Junyou Chen
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Huifang Zhou
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Lianxu Wu
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yanhong Zhou
- Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan, China,*Correspondence: Le Zhang, ; Yanhong Zhou,
| | - Le Zhang
- Department of Neurology, Multi-Modal Monitoring Technology for Severe Cerebrovascular Disease of Human Engineering Research Center, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China,*Correspondence: Le Zhang, ; Yanhong Zhou,
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8
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Heimerl M, Gausepohl T, Mueller JH, Ricke-Hoch M. Neuraminidases-Key Players in the Inflammatory Response after Pathophysiological Cardiac Stress and Potential New Therapeutic Targets in Cardiac Disease. BIOLOGY 2022; 11:biology11081229. [PMID: 36009856 PMCID: PMC9405403 DOI: 10.3390/biology11081229] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/11/2022] [Accepted: 08/16/2022] [Indexed: 05/24/2023]
Abstract
Glycoproteins and glycolipids on the cell surfaces of vertebrates and higher invertebrates contain α-keto acid sugars called sialic acids, terminally attached to their glycan structures. The actual level of sialylation, regulated through enzymatic removal of the latter ones by NEU enzymes, highly affects protein-protein, cell-matrix and cell-cell interactions. Thus, their regulatory features affect a large number of different cell types, including those of the immune system. Research regarding NEUs within heart and vessels provides new insights of their involvement in the development of cardiovascular pathologies and identifies mechanisms on how inhibiting NEU enzymes can have a beneficial effect on cardiac remodelling and on a number of different cardiac diseases including CMs and atherosclerosis. In this regard, a multitude of clinical studies demonstrated the potential of N-acetylneuraminic acid (Neu5Ac) to serve as a biomarker following cardiac diseases. Anti-influenza drugs i.e., zanamivir and oseltamivir are viral NEU inhibitors, thus, they block the enzymatic activity of NEUs. When considering the improvement in cardiac function in several different cardiac disease animal models, which results from NEU reduction, the inhibition of NEU enzymes provides a new potential therapeutic treatment strategy to treat cardiac inflammatory pathologies, and thus, administrate cardioprotection.
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9
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Nemkov T, Skinner S, Diaw M, Diop S, Samb A, Connes P, D’Alessandro A. Plasma Levels of Acyl-Carnitines and Carboxylic Acids Correlate With Cardiovascular and Kidney Function in Subjects With Sickle Cell Trait. Front Physiol 2022; 13:916197. [PMID: 35910560 PMCID: PMC9326174 DOI: 10.3389/fphys.2022.916197] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Abstract
Subjects with sickle cell trait (SCT) carry one copy of mutated β-globin gene at position E6V at the origin of the production of sickle hemoglobin (HbS). Indeed, individuals with SCT have both normal hemoglobin and HbS, in contrast to patients with sickle cell disease who inherited of two copies of the mutated gene. Although SCT is generally benign/asymptomatic, carriers may develop certain adverse outcomes such as renal complications, venous thromboembolism, exercise-induced rhabdomyolysis … However, little is known about whether similar metabolic pathways are affected in individuals with SCT and whether these metabolic derangements, if present, correlate to clinically relevant parameters. In this study, we performed metabolomics analysis of plasma from individuals with sickle cell trait (n = 34) compared to healthy controls (n = 30). Results indicated a significant increase in basal circulating levels of hemolysis markers, mono- (pyruvate, lactate), di- and tri-carboxylates (including all Krebs cycle intermediates), suggestive of systems-wide mitochondrial dysfunction in individuals with SCT. Elevated levels of kynurenines and indoles were observed in SCT samples, along with increases in the levels of oxidative stress markers (advanced glycation and protein-oxidation end-products, malondialdehyde, oxylipins, eicosanoids). Increases in circulating levels of acyl-carnitines and fatty acids were observed, consistent with increased membrane lipid damage in individuals with sickle cell trait. Finally, correlation analyses to clinical co-variates showed that alterations in the aforementioned pathways strongly correlated with clinical measurements of blood viscosity, renal (glomerular filtration rate, microalbuminuria, uremia) and cardiovascular function (carotid-femoral pulse wave velocity, blood pressure).
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Affiliation(s)
- Travis Nemkov
- Department of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO, United States
| | - Sarah Skinner
- Inter-university Laboratory of Biology of Motor Function EA7424, Vascular Biology and the Red Blood Cell Team, Claude Bernard University Lyon 1, Lyon, France
| | - Mor Diaw
- Laboratory of Physiology and Functional Exploration, FMPO, UCAD, Dakar, Senegal
- IRL3189 Environnement, Santé, Sociétés CNRS/UCAD Dakar/ UGB Saint-Louis/ USTT Bamako/ CNRST Ouagadougou, Dakar, Senegal
| | - Saliou Diop
- Laboratory of Hemato-immunology, FMPO, UCAD, Dakar, Senegal
| | - Abdoulaye Samb
- Laboratory of Physiology and Functional Exploration, FMPO, UCAD, Dakar, Senegal
- IRL3189 Environnement, Santé, Sociétés CNRS/UCAD Dakar/ UGB Saint-Louis/ USTT Bamako/ CNRST Ouagadougou, Dakar, Senegal
| | - Philippe Connes
- Inter-university Laboratory of Biology of Motor Function EA7424, Vascular Biology and the Red Blood Cell Team, Claude Bernard University Lyon 1, Lyon, France
| | - Angelo D’Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO, United States
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