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Sun M, Liu W, Jiang H, Wu X, Zhang S, Liu H. Large-scale, comprehensive plasma metabolomic analyses reveal potential biomarkers for the diagnosis of early-stage coronary atherosclerosis. Clin Chim Acta 2024; 562:119832. [PMID: 38936535 DOI: 10.1016/j.cca.2024.119832] [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: 01/09/2024] [Revised: 06/11/2024] [Accepted: 06/23/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND Coronary atherosclerosis (CAS) is a prevalent and chronic life-threatening disease. However, the detection of CAS at an early stage is difficult because of the lack of effective noninvasive diagnostic methods. The present study aimed to characterize the plasma metabolome of early-stage CAS patients to discover metabolomic biomarkers, develop a novel metabolite-based model for accurate noninvasive diagnosis of early-stage CAS, and explore the underlying metabolic mechanisms involved. METHODS A total of 100 patients with early-stage CAS and 120 age- and sex-matched control subjects were recruited from the Chinese Han population and further randomly divided into training (n = 120) and test sets (n = 100). The metabolomic profiles of the plasma samples were analyzed by an integrated untargeted liquid chromatography-mass spectrometry approach, including two separation modes and two ionization modes. Univariate and multivariate statistical analyses were employed to identify potential biomarkers and construct an early-stage CAS diagnostic model. RESULTS The integrated analytical method established herein improved metabolite coverage compared with single chromatographic separation and MS ionization mode. A total of 80 metabolites were identified as potential biomarkers of early-stage CAS, and these metabolites were mainly involved in glycerophospholipid, fatty acid, sphingolipid, and amino acid metabolism. An effective diagnostic model for early-stage CAS was established, incorporating 11 metabolites and achieving areas under the receiver operating characteristic curve (AUCs) of 0.984 and 0.908 in the training and test sets, respectively. CONCLUSIONS Our study not only successfully developed an effective noninvasive diagnostic model for identifying early-stage CAS but also provided novel insights into the pathogenesis of CAS.
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Affiliation(s)
- Meng Sun
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China
| | - Wei Liu
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China
| | - Hao Jiang
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China
| | - Xiaoyan Wu
- Department of Epidemiology and Biostatistics, Guilin Medical University, Guilin 514499, PR China
| | - Shuo Zhang
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China.
| | - Haixia Liu
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China.
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Jia Y, Zhao Y, Niu M, Zhao C, Li X, Chen H. Preliminary study of metabonomic changes during the progression of atherosclerosis in miniature pigs. Animal Model Exp Med 2024. [PMID: 38923366 DOI: 10.1002/ame2.12462] [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: 09/26/2023] [Accepted: 05/19/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND To explore potential biomarkers for early diagnosis of atherosclerosis (AS) and provide basic data for further research on AS, the characteristics of serum metabolomics during the progression of AS in mini-pigs were observed dynamically. METHODS An AS model in Bama miniature pigs was established by a high-cholesterol and high-fat diet. Fasting serum samples were collected monthly for metabolomics and serum lipid detection. At the end of the treatment period, pathological analysis of the abdominal aorta and coronary artery was performed to evaluate the lesions of AS, thereby distinguishing the susceptibility of mini-pigs to AS. The metabolomics was detected using a high-resolution untargeted metabolomic approach. Statistical analysis was used to identify metabolites associated with AS susceptibility. RESULTS Based on pathological analysis, mini-pigs were divided into two groups: a susceptible group (n = 3) and a non-susceptible group (n = 6). A total of 1318 metabolites were identified, with significant shifting of metabolic profiles over time in both groups. Dynamic monitoring analysis highlighted 57 metabolites that exhibited an obvious trend of differential changes between two groups with the advance of time. The KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analysis indicated significant disorders in cholesterol metabolism, primary bile acid metabolism, histidine metabolism, as well as taurine and hypotaurine metabolism. CONCLUSIONS During the progression of AS in mini-pigs induced by high-cholesterol/high-fat diet, the alterations in serum metabolic profile exhibited a time-dependent pattern, accompanied by notable disturbances in lipid metabolism, cholesterol metabolism, and amino acid metabolism. These metabolites may become potential biomarkers for early diagnosis of AS.
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Affiliation(s)
- Yunxiao Jia
- Laboratory Animal Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Yuqiong Zhao
- Laboratory Animal Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Miaomiao Niu
- Laboratory Animal Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Changqi Zhao
- Laboratory Animal Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Xuezhuang Li
- Laboratory Animal Center, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Hua Chen
- Laboratory Animal Center, Chinese PLA General Hospital, Beijing, People's Republic of China
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Wang LM, Zhang WL, Lyu N, Suo YR, Yang L, Yu B, Jiang XJ. Research Advance of Chinese Medicine in Treating Atherosclerosis: Focus on Lipoprotein-Associated Phospholipase A2. Chin J Integr Med 2024; 30:277-288. [PMID: 38057549 DOI: 10.1007/s11655-023-3611-6] [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] [Accepted: 04/24/2023] [Indexed: 12/08/2023]
Abstract
As a serious cardiovascular disease, atherosclerosis (AS) causes chronic inflammation and oxidative stress in the body and poses a threat to human health. Lipoprotein-associated phospholipase A2 (Lp-PLA2) is a member of the phospholipase A2 (PLA2) family, and its elevated levels have been shown to contribute to AS. Lp-PLA2 is closely related to a variety of lipoproteins, and its role in promoting inflammatory responses and oxidative stress in AS is mainly achieved by hydrolyzing oxidized phosphatidylcholine (oxPC) to produce lysophosphatidylcholine (lysoPC). Moreover, macrophage apoptosis within plaque is promoted by localized Lp-PLA2 which also promotes plaque instability. This paper reviews those researches of Chinese medicine in treating AS via reducing Lp-PLA2 levels to guide future experimental studies and clinical applications related to AS.
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Affiliation(s)
- Lu-Ming Wang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Wen-Lan Zhang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Nuan Lyu
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yan-Rong Suo
- Department of Traditional Chinese Medicine, Ganzhou People's Hospital, Ganzhou, Jiangxi Province, 341000, China
| | - Lin Yang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Bin Yu
- School of Medical Technology, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
| | - Xi-Juan Jiang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
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Zhang Y, Wu J, Dong E, Wang Z, Xiao H. Toll-like receptors in cardiac hypertrophy. Front Cardiovasc Med 2023; 10:1143583. [PMID: 37113698 PMCID: PMC10126280 DOI: 10.3389/fcvm.2023.1143583] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/24/2023] [Indexed: 04/29/2023] Open
Abstract
Toll-like receptors (TLRs) are a family of pattern recognition receptors (PRRs) that can identify pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs). TLRs play an important role in the innate immune response, leading to acute and chronic inflammation. Cardiac hypertrophy, an important cardiac remodeling phenotype during cardiovascular disease, contributes to the development of heart failure. In previous decades, many studies have reported that TLR-mediated inflammation was involved in the induction of myocardium hypertrophic remodeling, suggesting that targeting TLR signaling might be an effective strategy against pathological cardiac hypertrophy. Thus, it is necessary to study the mechanisms underlying TLR functions in cardiac hypertrophy. In this review, we summarized key findings of TLR signaling in cardiac hypertrophy.
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Affiliation(s)
- Yanan Zhang
- Inner Mongolia Key Laboratory of Disease-Related Biomarkers, The Second Affiliated Hospital, Baotou Medical College, Baotou, China
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University Third Hospital, Beijing, China
- Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Beijing, China
- Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
- Department of Clinical Laboratory, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Jimin Wu
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University Third Hospital, Beijing, China
- Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Beijing, China
- Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Erdan Dong
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University Third Hospital, Beijing, China
- Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Beijing, China
- Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhanli Wang
- Inner Mongolia Key Laboratory of Disease-Related Biomarkers, The Second Affiliated Hospital, Baotou Medical College, Baotou, China
- Department of Clinical Laboratory, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- Correspondence: Zhanli Wang Han Xiao
| | - Han Xiao
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University Third Hospital, Beijing, China
- Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Beijing, China
- Research Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
- Correspondence: Zhanli Wang Han Xiao
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Untargeted Metabolomic Profiling of Cuprizone-Induced Demyelination in Mouse Corpus Callosum by UPLC-Orbitrap/MS Reveals Potential Metabolic Biomarkers of CNS Demyelination Disorders. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:7093844. [PMID: 34567412 PMCID: PMC8457991 DOI: 10.1155/2021/7093844] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 08/13/2021] [Accepted: 08/26/2021] [Indexed: 12/13/2022]
Abstract
Multiple sclerosis (MS) is a neurodegenerative disorder characterized by periodic neuronal demyelination, which leads to a range of symptoms and eventually to disability. The goal of this research was to use UPLC-Orbitrap/MS to identify validated biomarkers and explore the metabolic mechanisms of MS in mice. Thirty-two C57BL/6 male mice were randomized into two groups that were fed either normal food or 0.2% CPZ for 11 weeks. The mouse demyelination model was assessed by LFB and the expression of MBP by immunofluorescence and immunohistochemistry. The metabolites of the corpus callosum were quantified using UPLC-Orbitrap/MS. The mouse pole climbing experiment was used to assess coordination ability. Multivariate statistical analysis was adopted for screening differential metabolites, and the ingenuity pathway analysis (IPA) was used to reveal the metabolite interaction network. We successfully established the demyelination model. The CPZ group slowly lost weight and showed an increased pole climbing time during feeding compared to the CON group. A total of 81 metabolites (VIP > 1 and P < 0.05) were determined to be enriched in 24 metabolic pathways; 41 metabolites were markedly increased, while 40 metabolites were markedly decreased in the CPZ group. The IPA results revealed that these 81 biomarker metabolites were associated with neuregulin signaling, PI3K-AKT signaling, mTOR signaling, and ERK/MAPK signaling. KEGG pathway analysis showed that two significantly different metabolic pathways were enriched, namely, the glycerophospholipid and sphingolipid metabolic pathways, comprising a total of nine biomarkers. Receiver operating characteristic analysis showed that the metabolites (e.g., PE (16 : 0/22 : 6(4Z, 7Z, 10Z, 13Z, 16Z, 19Z)), PC (18 : 0/22 : 4(7Z, 10Z, 13Z, 16Z)), cytidine 5′-diphosphocholine, PS (18 : 0/22 : 6(4Z, 7Z, 10Z, 13Z, 16Z, 19Z)), glycerol 3-phosphate, SM (d18 : 0/16 : 1(9Z)), Cer (d18:1/18 : 0), galabiosylceramide (d18:1/18 : 0), and GlcCer (d18:1/18 : 0)) have good discrimination ability for the CPZ group. In conclusion, the differential metabolites have great potential to serve as biomarkers of demyelinating diseases. In addition, we identified metabolic pathways associated with CPZ-induced demyelination pathogenesis, which provided a new perspective for understanding the relationship between metabolites and CNS demyelination pathogenesis.
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