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Li Z, Gong R, Chu H, Zeng J, Chen C, Xu S, Hu L, Gao W, Zhang L, Yuan H, Cheng Z, Wang C, Du M, Zhu Q, Zhang L, Rong L, Hu X, Yang L. A universal plasma metabolites-derived signature predicts cardiovascular disease risk in MAFLD. Atherosclerosis 2024; 392:117526. [PMID: 38581738 DOI: 10.1016/j.atherosclerosis.2024.117526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Metabolic associated fatty liver disease (MAFLD) is a novel concept proposed in 2020, which is more practical for identifying patients with fatty liver disease with high risk of disease progression. Fatty liver is a driver for extrahepatic complications, particularly cardiovascular diseases (CVD). Although the risk of CVD in MAFLD could be predicted by carotid ultrasound test, a very early stage prediction method before the formation of pathological damage is still lacking. METHODS Stool microbiomes and plasma metabolites were compared across 196 well-characterized participants encompassing normal controls, simple MAFLD patients, MAFLD patients with carotid artery pathological changes, and MAFLD patients with diagnosed coronary artery disease (CAD). 16S rDNA sequencing data and untargeted metabolomic profiles were interrogatively analyzed using differential abundance analysis and random forest (RF) machine learning algorithm to identify discriminatory gut microbiomes and metabolomic. RESULTS Characteristic microbial changes in MAFLD patients with CVD risk were represented by the increase of Clostridia and Firmicutes-to-Bacteroidetes ratios. Faecalibacterium was negatively correlated with mean-intima-media thickness (IMT), TC, and TG. Megamonas, Bacteroides, Parabacteroides, and Escherichia were positively correlated with the exacerbation of pathological indexes. MAFLD patients with CVD risk were characterized by the decrease of lithocholic acid taurine conjugate, and the increase of ethylvanillin propylene glycol acetal, both of which had close relationship with Ruminococcus and Gemmiger. Biotin l-sulfoxide had positive correlation with mean-IMT, TG, and weight. The general auxin pesticide beta-naphthoxyacetic acid and the food additive glucosyl steviol were both positively correlated with the increase of mean-IMT. The model combining the metabolite signatures with 9 clinical parameters accurately distinguished MAFLD with CVD risk in the proband and validation cohort. It was found that citral was the most important discriminative metabolite marker, which was validated by both in vitro and in vivo experiments. CONCLUSIONS Simple MAFLD patients and MAFLD patients with CVD risk had divergent gut microbes and plasma metabolites. The predictive model based on metabolites and 9 clinical parameters could effectively discriminate MAFLD patients with CVD risk at a very early stage.
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Affiliation(s)
- Zhonglin Li
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Rui Gong
- Health Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huikuan Chu
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Junchao Zeng
- Health Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Can Chen
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, China
| | - Sanping Xu
- Health Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lilin Hu
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Wenkang Gao
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Li Zhang
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Hang Yuan
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Zilu Cheng
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Cheng Wang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, China
| | - Meng Du
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, China
| | - Qingjing Zhu
- Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Wuhan Medical Treatment Centre, Wuhan, 430070, China
| | - Li Zhang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China
| | - Lin Rong
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China.
| | - Xiaoqing Hu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China.
| | - Ling Yang
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China.
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Xu H, Yang N, Wang BY, Zhou L, Xu LL, Chen Y, Wang DJ, Ge WH. Phenylacetyl glutamine (PAGln) enhances cardiomyocyte death after myocardial infarction through β1 adrenergic receptor. Environ Toxicol 2024; 39:1682-1699. [PMID: 38041472 DOI: 10.1002/tox.24063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 11/13/2023] [Accepted: 11/16/2023] [Indexed: 12/03/2023]
Abstract
This study aims to explore the roles of phenylacetyl glutamine (PAGln) on myocardial infarction (MI) pathogenesis. Here, using targeted metabolomics analysis, it was found that the plasma metabolite PAGln was upregulated in coronary artery disease (CAD) patients and MI mice and could be an independent risk factor for CAD. In vivo and in vitro functional experiments revealed that PAGln pretreatment enhanced MI-induced myocardial injury and cardiac fibrosis, as evident by the increased infarct size, cardiomyocyte death, and the upregulated expression of cardiac fibrosis markers (Col1a1 and α-SMA). Combined with RNA-sequencing analysis and G protein-coupled receptor (GPCR) inhibitor, we found that the GPCR signaling activation is essential for PAGln-mediated effects on cardiomyocyte death. Furthermore, drug affinity responsive target stability and cellular thermal shift assay demonstrated that PAGln could interact with β1-adrenergic receptor (AR). Moreover, β1-AR blocker treatment indeed extended the cardiac remodeling after PAGln-enhanced MI. These results suggest that PAGln might be a potential therapeutic target for extending the cardiac remodeling window in MI patients that signals via β1-AR.
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Affiliation(s)
- Hang Xu
- School of Pharmacy, Faculty of Medicine, Macau University of Science and Technology, Macau SAR, China
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Na Yang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Bao-Yan Wang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Lin Zhou
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Li-Li Xu
- Department of Pharmacy, China Pharmaceutical University Nanjing Drum Tower Hospital, Nanjing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Yan Chen
- Department of Pharmacy, China Pharmaceutical University Nanjing Drum Tower Hospital, Nanjing, China
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Dong-Jin Wang
- Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Wei-Hong Ge
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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Jayakrishnan T, Mariam A, Farha N, Rotroff DM, Aucejo F, Barot SV, Conces M, Nair KG, Krishnamurthi SS, Schmit SL, Liska D, Khorana AA, Kamath SD. Plasma metabolomic differences in early-onset compared to average-onset colorectal cancer. Sci Rep 2024; 14:4294. [PMID: 38383634 PMCID: PMC10881959 DOI: 10.1038/s41598-024-54560-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/14/2024] [Indexed: 02/23/2024] Open
Abstract
Deleterious effects of environmental exposures may contribute to the rising incidence of early-onset colorectal cancer (eoCRC). We assessed the metabolomic differences between patients with eoCRC, average-onset CRC (aoCRC), and non-CRC controls, to understand pathogenic mechanisms. Patients with stage I-IV CRC and non-CRC controls were categorized based on age ≤ 50 years (eoCRC or young non-CRC controls) or ≥ 60 years (aoCRC or older non-CRC controls). Differential metabolite abundance and metabolic pathway analyses were performed on plasma samples. Multivariate Cox proportional hazards modeling was used for survival analyses. All P values were adjusted for multiple testing (false discovery rate, FDR P < 0.15 considered significant). The study population comprised 170 patients with CRC (66 eoCRC and 104 aoCRC) and 49 non-CRC controls (34 young and 15 older). Citrate was differentially abundant in aoCRC vs. eoCRC in adjusted analysis (Odds Ratio = 21.8, FDR P = 0.04). Metabolic pathways altered in patients with aoCRC versus eoCRC included arginine biosynthesis, FDR P = 0.02; glyoxylate and dicarboxylate metabolism, FDR P = 0.005; citrate cycle, FDR P = 0.04; alanine, aspartate, and glutamate metabolism, FDR P = 0.01; glycine, serine, and threonine metabolism, FDR P = 0.14; and amino-acid t-RNA biosynthesis, FDR P = 0.01. 4-hydroxyhippuric acid was significantly associated with overall survival in all patients with CRC (Hazards ratio, HR = 0.4, 95% CI 0.3-0.7, FDR P = 0.05). We identified several unique metabolic alterations, particularly the significant differential abundance of citrate in aoCRC versus eoCRC. Arginine biosynthesis was the most enriched by the differentially altered metabolites. The findings hold promise in developing strategies for early detection and novel therapies.
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Affiliation(s)
- Thejus Jayakrishnan
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, USA
| | - Arshiya Mariam
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, USA
- Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, USA
| | - Nicole Farha
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, USA
| | - Daniel M Rotroff
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, USA
- Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, USA
| | - Federico Aucejo
- Department of Surgery, Digestive Disease & Surgery Institute, Cleveland Clinic, Cleveland, USA
| | - Shimoli V Barot
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, USA
- Case Comprehensive Cancer Center, Cleveland, USA
| | - Madison Conces
- Case Comprehensive Cancer Center, Cleveland, USA
- Department of Hematology-Oncology, University Hospital Seidman Cancer Center, Cleveland, USA
| | - Kanika G Nair
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, USA
- Case Comprehensive Cancer Center, Cleveland, USA
- Center for Young-Onset Colorectal Cancer, Cleveland Clinic, Cleveland, USA
| | - Smitha S Krishnamurthi
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, USA
- Case Comprehensive Cancer Center, Cleveland, USA
- Center for Young-Onset Colorectal Cancer, Cleveland Clinic, Cleveland, USA
| | - Stephanie L Schmit
- Center for Young-Onset Colorectal Cancer, Cleveland Clinic, Cleveland, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, USA
| | - David Liska
- Case Comprehensive Cancer Center, Cleveland, USA
- Center for Young-Onset Colorectal Cancer, Cleveland Clinic, Cleveland, USA
- Department of Colorectal Surgery, Digestive Disease & Surgery Institute, Cleveland Clinic, Cleveland, USA
| | - Alok A Khorana
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, USA
- Case Comprehensive Cancer Center, Cleveland, USA
- Center for Young-Onset Colorectal Cancer, Cleveland Clinic, Cleveland, USA
| | - Suneel D Kamath
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, USA.
- Case Comprehensive Cancer Center, Cleveland, USA.
- Center for Young-Onset Colorectal Cancer, Cleveland Clinic, Cleveland, USA.
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
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Guo H, Cui J, Li Q, Liang X, Li J, Yang B, Kalds P, Chen Y, Yang Y. A multi-omic assessment of the mechanisms of intestinal microbes used to treat diarrhea in early-weaned lambs. mSystems 2024; 9:e0095323. [PMID: 38193712 PMCID: PMC10878098 DOI: 10.1128/msystems.00953-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 10/07/2023] [Indexed: 01/10/2024] Open
Abstract
Transplant of donor microbiota can significantly alter the structure of the host's intestinal microbiota and alleviate early weaning stress. Screening for alternative-resistant products by transplanting fecal bacteria from healthy lambs is a current research trend in the livestock industry. In the present study, fecal microbiota transplantation was performed in lambs with diarrhea during early weaning. The transplanted fecal microbiota greatly reduced the diarrhea and serum inflammatory factor levels caused by early weaning. Transcriptome sequencing revealed that fecal microbiota transplantation alleviated colonic inflammation and increased the expression of colonic ion transport proteins. In addition, the levels of Streptococcus, Enterococcus, and Escherichia Shigella decreased in the jejunum, cecum, and colon of the lambs; meanwhile, the levels of Bifidobacterium and multiple secondary bile acids, such as ursodeoxycholic acid, increased in the colon. Furthermore, the abundance of Bifidobacterium was significantly negatively correlated with the diarrhea index. The fecal microbiota transplantation reshaped the intestinal microbiota of early-weaned lambs, protected the intestinal physiology and immune barrier, and reduced weaning stress. In addition to making available bacteriological products for controlling intestinal inflammation in young lambs, this study offers a theoretical framework and technical system for the mechanisms by which microbiota transplantation regulates intestinal health in young lambs.IMPORTANCEBefore weaning, the digestive system of lambs is not well developed; hence, its resistance to infectious diseases is weak. Under intensive feeding systems, lambs can easily be stressed and the risk of bacterial infection is high, which causes diarrhea, which in turn may cause mortality and significant economic losses to the livestock industry. With the elimination of antibiotics in animal feed, the incidence of mortality due to intestinal illnesses in lambs has gradually increased. There are several types of probiotics routinely used in young animals, but the effects and processes of their usage have only been assessed in monogastric animals. The lack of data on ruminants, particularly sheep, has severely hampered the process of efficient and healthy sheep breeding. Therefore, there is an urgent need to identify effective and safe functional supplements for lambs.
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Affiliation(s)
- Hongran Guo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
| | - Jiuzeng Cui
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
| | - Qian Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
| | - Xuhui Liang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
| | - Junda Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
| | - Bohua Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
| | - Peter Kalds
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
| | - Yulin Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
| | - Yuxin Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi Province, China
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Zhu Q, Qin M, Wang Z, Wu Y, Chen X, Liu C, Ma Q, Liu Y, Lai W, Chen H, Cai J, Liu Y, Lei F, Zhang B, Zhang S, He G, Li H, Zhang M, Zheng H, Chen J, Huang M, Zhong S. Correction: Plasma metabolomics provides new insights into the relationship between metabolites and outcomes and left ventricular remodeling of coronary artery disease. Cell Biosci 2022; 12:201. [PMID: 36527165 PMCID: PMC9758852 DOI: 10.1186/s13578-022-00926-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2022] [Indexed: 12/23/2022] Open
Affiliation(s)
- Qian Zhu
- grid.410643.4Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510080 Guangdong China
| | - Min Qin
- grid.410643.4Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510080 Guangdong China
| | - Zixian Wang
- grid.410643.4Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Yonglin Wu
- grid.410643.4Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Xiaoping Chen
- grid.216417.70000 0001 0379 7164Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Chen Liu
- grid.412615.50000 0004 1803 6239Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080 Guangdong China
| | - Qilin Ma
- grid.216417.70000 0001 0379 7164Department of Cardiology, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Yibin Liu
- grid.410643.4Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510080 Guangdong China
| | - Weihua Lai
- grid.410643.4Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Hui Chen
- grid.410643.4Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510080 Guangdong China
| | - Jingjing Cai
- grid.49470.3e0000 0001 2331 6153Institute of Model Animal, Wuhan University, Wuhan, 430072 Hubei China
| | - Yemao Liu
- grid.49470.3e0000 0001 2331 6153Institute of Model Animal, Wuhan University, Wuhan, 430072 Hubei China
| | - Fang Lei
- grid.49470.3e0000 0001 2331 6153Institute of Model Animal, Wuhan University, Wuhan, 430072 Hubei China
| | - Bin Zhang
- grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510080 Guangdong China
| | - Shuyao Zhang
- grid.258164.c0000 0004 1790 3548Department of Pharmacy, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, 510220 Guangdong China
| | - Guodong He
- grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510080 Guangdong China
| | - Hanping Li
- grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Mingliang Zhang
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, 430000 Hubei China
| | - Hui Zheng
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, 430000 Hubei China
| | - Jiyan Chen
- grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Min Huang
- grid.12981.330000 0001 2360 039XInstitute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006 Guangdong China
| | - Shilong Zhong
- grid.410643.4Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.410643.4Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China ,grid.79703.3a0000 0004 1764 3838School of Medicine, South China University of Technology, Guangzhou, 510080 Guangdong China
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