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Li B, Jiang XF, Dong YJ, Zhang YP, He XLS, Zhou CL, Ding YY, Wang N, Wang YB, Cheng WQ, Jiang NH, Su J, Lv GY, Chen SH. The effects of Atractylodes macrocephala extract BZEP self-microemulsion based on gut-liver axis HDL/LPS signaling pathway to ameliorate metabolic dysfunction-associated fatty liver disease in rats. Biomed Pharmacother 2024; 175:116519. [PMID: 38663104 DOI: 10.1016/j.biopha.2024.116519] [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: 01/07/2024] [Revised: 03/24/2024] [Accepted: 03/28/2024] [Indexed: 06/03/2024] Open
Abstract
OBJECTIVES To elucidate the therapeutic effects and mechanisms of Atractylodes macrocephala extract crystallize (BZEP) and BZEP self-microemulsion (BZEPWR) on metabolic dysfunction-associated fatty liver disease (MAFLD) induced by "high sugar, high fat, and excessive alcohol consumption" based on the gut-liver axis HDL/LPS signaling pathway. METHODS In this study, BZEP and BZEPWR were obtained via isolation, purification, and microemulsification. Furthermore, an anthropomorphic MAFLD rat model of "high sugar, high fat, and excessive alcohol consumption" was established. The therapeutic effects of BZEPWR and BZEP on the model rats were evaluated in terms of liver function, lipid metabolism (especially HDL-C), serum antioxidant indexes, and liver and intestinal pathophysiology. To determine the lipoproteins in the serum sample, the amplitudes of a plurality of NMR spectra were derived via deconvolution of the composite methyl signal envelope to yield HDL-C subclass concentrations. The changes in intestinal flora were detected via 16 S rRNA gene sequencing. In addition, the gut-liver axis HDL/LPS signaling pathway was validated using immunohistochemistry, immunofluorescence, and western blot. RESULTS The findings established that BZEPWR and BZEP improved animal signs, serum levels of liver enzymes (ALT and AST), lipid metabolism (TC, TG, HDL-C, and LDL-C), and antioxidant indexes (GSH, SOD, and ROS). In addition, pathological damage to the liver, colon, and ileum was ameliorated, and the intestinal barrier function of the model rats was restored. At the genus level, BZEPWR and BZEP exerted positive effects on beneficial bacteria, such as Lactobacillus and norank_f__Muribaculaceae, and inhibitory effects on harmful bacteria, such as unclassified_f__Lachnospiraceae and Blautia. Twenty HDL-C subspecies were detected, and their levels were differentially increased in both BZEPWR and BZEP groups, with BZEPWR exhibiting a stronger elevating effect on specific HDL-C subspecies. Also, the gut-liver axis HDL/LPS signaling pathway was studied, which indicated that BZEPWR and BZEP significantly increased the expressions of ABCA1, LXR, occludin, and claudin-1 proteins in the gut and serum levels of HDL-C. Concomitantly, the levels of LPS in the serum and TLR4, Myd88, and NF-κB proteins in the liver were decreased. CONCLUSION BZEPWR and BZEP exert restorative and reversal effects on the pathophysiological damage to the gut-liver axis in MAFLD rats, and the therapeutic mechanism may be related to the regulation of the intestinal flora and the HDL/LPS signaling pathway.
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Affiliation(s)
- Bo Li
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Xiao-Feng Jiang
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China
| | - Ying-Jie Dong
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; College of Pharmaceutical Science, Zhejiang Chinese Medical University, No. 548, Binwen Road, Binjiang District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Yi-Piao Zhang
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Xing-Li-Shang He
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Cheng-Liang Zhou
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Yan-Yan Ding
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Ning Wang
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Yi-Bin Wang
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Wan-Qi Cheng
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China
| | - Ning-Hua Jiang
- The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314000, China.
| | - Jie Su
- College of Pharmaceutical Science, Zhejiang Chinese Medical University, No. 548, Binwen Road, Binjiang District, Hangzhou, Zhejiang 310014, China.
| | - Gui-Yuan Lv
- College of Pharmaceutical Science, Zhejiang Chinese Medical University, No. 548, Binwen Road, Binjiang District, Hangzhou, Zhejiang 310014, China.
| | - Su-Hong Chen
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Gongshu District, Hangzhou, Zhejiang 310014, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R & D and Digital Intelligent Manufacturing of TCM Great Health Products, Huzhou, Zhejiang 313200, China.
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Zhezhi D, Zhihui Z, Shifeng Z, Minping L, Xue X, Weiwei Q, Junjie G, Dongxiao Z, Qian M, Yuemin Q, Deng DX, Haiwei H. HDL subfractions determined by microfluidic chip electrophoresis predict the vulnerability of intracranial plaque: A HRMRI study. Clin Chim Acta 2024; 553:117713. [PMID: 38104956 DOI: 10.1016/j.cca.2023.117713] [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: 08/02/2023] [Revised: 12/09/2023] [Accepted: 12/12/2023] [Indexed: 12/19/2023]
Abstract
AIM High-density lipoprotein (HDL) can be divided into several subfractions based on density, size and composition. Accumulative evidence strongly suggests that the subfractions of HDL have very different roles in the pathogenesis of atherosclerosis. The purpose of this study was to further delineate the relationship between HDL subfractions extracted by microfluidic chip electrophoresis and the vulnerability of plaques in patients with intracranial atherosclerosis with a high-resolution magnetic resonance imaging (HRMRI) study. METHODS We prospectively enrolled patients with single atherosclerotic plaque in the middle cerebral artery (MCA) or basilar artery (BA) between July 2020 and Dec 2022 and performed 3-tesla HRMRI on the relevant artery. The HDL cholesterol concentration and HDL subfractions (HDL-2a, HDL-2b and HDL-3) percentage were analyzed in serum samples from the same patients by electrophoresis on a microfluidics system. RESULTS A total of 81 MCA or BA plaques [38 (46.9%) symptomatic and 43 (53.1%) asymptomatic] in 81 patients were identified on HRMRI. Patients with symptomatic plaques had a significantly lower HDL-2b level than asymptomatic plaques [symptomatic vs. asymptomatic: 0.16 (0.10-0.18) vs. 0.27(0.21-0.34), p = 0.001]. After adjusting for demographics and vascular risk factors, logistic regression showed that HDL-2b was inversely associated with asymptomatic plaques (B = -0.04, P = 0.017). According to receiver operating characteristic (ROC) curve model analysis, the cutoff point of HDL-2b in predicting asymptomatic plaques was 0.21 mmol/L (Area under curve: 0.719, specificity: 73.7%, sensitivity: 72.1%). Furthermore, plaque enhancement on HRMRI (P < 0.001), positive remodeling (P < 0.001), plaque load (P < 0.001) and luminal stenosis (P < 0.001) were superior among patients with HDL-2b < 0.21 mmol/L. CONCLUSIONS Our data showed that serum HDL-2b levels may serve as a biomarker for predicting vulnerability in intracranial atherosclerotic plaques.
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Affiliation(s)
- Deng Zhezhi
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Zheng Zhihui
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Zhang Shifeng
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Li Minping
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Xu Xue
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Qi Weiwei
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Guo Junjie
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Zhou Dongxiao
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Ma Qian
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Qiu Yuemin
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | | | - Huang Haiwei
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou 510080, China.
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Streese L, Habisch H, Deiseroth A, Carrard J, Infanger D, Schmidt-Trucksäss A, Madl T, Hanssen H. Lipoprotein Subclasses Independently Contribute to Subclinical Variance of Microvascular and Macrovascular Health. Molecules 2022; 27:molecules27154760. [PMID: 35897932 PMCID: PMC9332701 DOI: 10.3390/molecules27154760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/15/2022] [Accepted: 07/21/2022] [Indexed: 11/16/2022] Open
Abstract
Lipoproteins are important cardiovascular (CV) risk biomarkers. This study aimed to investigate the associations of lipoprotein subclasses with micro- and macrovascular biomarkers to better understand how these subclasses relate to atherosclerotic CV diseases. One hundred and fifty-eight serum samples from the EXAMIN AGE study, consisting of healthy individuals and CV risk patients, were analysed with nuclear magnetic resonance (NMR) spectroscopy to quantify lipoprotein subclasses. Microvascular health was quantified by measuring retinal arteriolar and venular diameters. Macrovascular health was quantified by measuring carotid-to-femoral pulse wave velocity (PWV). Nineteen lipoprotein subclasses showed statistically significant associations with retinal vessel diameters and nine with PWV. These lipoprotein subclasses together explained up to 26% of variation (R2 = 0.26, F(29,121) = 2.80, p < 0.001) in micro- and 12% (R2 = 0.12, F(29,124) = 1.70, p = 0.025) of variation in macrovascular health. High-density (HDL-C) and low-density lipoprotein cholesterol (LDL-C) as well as triglycerides together explained up to 13% (R2 = 0.13, F(3143) = 8.42, p < 0.001) of micro- and 8% (R2 = 0.08, F(3145) = 5.46, p = 0.001) of macrovascular variation. Lipoprotein subclasses seem to reflect micro- and macrovascular end organ damage more precisely as compared to only measuring HDL-C, LDL-C and triglycerides. Further studies are needed to analyse how the additional quantification of lipoprotein subclasses can improve CV risk stratification and CV disease prediction.
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Affiliation(s)
- Lukas Streese
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland; (L.S.); (A.D.); (J.C.); (D.I.); (A.S.-T.); (H.H.)
| | - Hansjörg Habisch
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria;
| | - Arne Deiseroth
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland; (L.S.); (A.D.); (J.C.); (D.I.); (A.S.-T.); (H.H.)
| | - Justin Carrard
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland; (L.S.); (A.D.); (J.C.); (D.I.); (A.S.-T.); (H.H.)
| | - Denis Infanger
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland; (L.S.); (A.D.); (J.C.); (D.I.); (A.S.-T.); (H.H.)
| | - Arno Schmidt-Trucksäss
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland; (L.S.); (A.D.); (J.C.); (D.I.); (A.S.-T.); (H.H.)
| | - Tobias Madl
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria;
- BioTechMed Graz, 8010 Graz, Austria
- Correspondence: ; Tel.: +43-316-385-71972
| | - Henner Hanssen
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland; (L.S.); (A.D.); (J.C.); (D.I.); (A.S.-T.); (H.H.)
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Bagavad Geetha M., Maheshkumar K., Jayakumar M., Sowmya, Santhi Silambanan, Viji Devanand. Novel biomarkers of inflammation for endothelial dysfunction in chronic kidney disease patients. Biomedicine (Taipei) 2022. [DOI: 10.51248/.v42i1.594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Introduction and Aim: One of the main complications of chronic kidney diseases (CKD) resulting in morbidity and mortality is cardiac complications. High-sensitive C -reactive protein (hs- CRP), a novel biomarker of systemic inflammation is elevated in all the stages of kidney impairment. This leads to endothelial dysfunction resulting in cardiovascular complications. The aim is to evaluate the levels of novel inflammatory biomarkers for endothelial dysfunction which could predict cardiovascular risk in CKD patients.
Materials and Methods: This cross-sectional study was conducted among 50 CKD patients at a tertiary care hospital in Chennai. Study participants were from both sexes, aged between 20 and 65 years. Fasting blood samples were drawn for analysis of lipid profile, hs- CRP, calcium and phosphorus.
Results: The participants were grouped into three based on the hs-CRP Levels, as Low (<0.80 mg/L), Medium (0.81–1.76 mg/L) and High (>1.76 mg/L). Serum creatinine was significantly increased (P=0.007) across the groups. hs-CRP showed positive correlation with creatinine, while it showed negative correlation with HDLc.
Conclusion: Highly sensitive CRP is a marker of endothelial dysfunction. Elevated hsCRP levels in CKD patients indicate that they are prone for cardiovascular complications. Early detection of systemic low-grade inflammation may prevent future cardiovascular complications.
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