Front. Pharmacol.Frontiers in PharmacologyFront. Pharmacol.1663-9812Frontiers Media S.A.111100710.3389/fphar.2023.1111007PharmacologyOriginal ResearchExploring the mechanism of anti-chronic heart failure effect of qiweiqiangxin І granules based on metabolomicsZhong et al.10.3389/fphar.2023.1111007ZhongWanru1†LiYihua2†ZhongHaixiang1ChengYuanyuan1ChenQi13ZhaoXinjun3LiuZhongqiu1*LiRong3*ZhangRong1*1Guangdong Provincial Key Laboratory of Translational Cancer Research of Chinese Medicines, Joint International Research Laboratory of Translational Cancer Research of Chinese Medicines, School of Pharmaceutical Sciences, International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China2The first clinical medical college, Guangzhou University of Chinese Medicine, Guangzhou, China3Department of Internal Medicine-Cardiovascular, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
Edited by:Guo-Chang Fan, University of Cincinnati, United States
Reviewed by:Kunming Qin, Jiangsu Ocean Universiity, China
Tao Ban, Harbin Medical University, China
*Correspondence: Zhongqiu Liu, liuzq@gzucm.edu.cn; Rong Li, lr1348@gzucm.edu.cn; Rong Zhang, zhangrong@gzucm.edu.cn
These authors have contributed equally to this work and share first authorship
This article was submitted to Cardiovascular and Smooth Muscle Pharmacology, a section of the journal Frontiers in Pharmacology
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Background: Qiweiqiangxin І granules (QWQX І) is a traditional Chinese medicine preparation based on the basic theory of traditional Chinese medicine, which produces a good curative effect in treating chronic heart failure (CHF). However, its pharmacological effect and potential mechanism for CHF remain unknown.
Aim of the study: The purpose of this study is to clarify the efficacy of QWQX І and its possible mechanisms.
Materials and methods: A total of 66 patients with CHF were recruited and randomly assigned to the control or QWQX І groups. The primary endpoint was the effect of left ventricular ejection fraction (LVEF) after 4 weeks of treatment. The LAD artery of rats was occluded to establish the model of CHF. Echocardiography, HE and Masson staining were performed to evaluate the pharmacological effect of QWQX І against CHF. Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) untargeted metabolomics was to screen endogenous metabolites in rat plasma and heart and elucidate the mechanism of QWQX І against CHF. Results: In the clinical study, a total of 63 heart failure patients completed the 4-week follow-up, including 32 in the control group and 31 in QWQX І group. After 4 weeks of treatment, LVEF was significantly improved in QWQX І group compared with the control group. In addition, the patients in QWQX І group had better quality of life than the control group. In animal studies, QWQX І significantly improved cardiac function, decreased B-type natriuretic peptide (BNP) levels, reduced inflammatory cell infiltration, and inhibited collagen fibril rate. Untargeted metabolomic analysis revealed that 23 and 34 differential metabolites were screened in the plasma and heart of chronic heart failure rats, respectively. 17 and 32 differential metabolites appeared in plasma and heart tissue after QWQX І treatment, which were enriched to taurine and hypotaurine metabolism, glycerophospholipid metabolism and linolenic acid metabolism by KEGG analysis. LysoPC (16:1 (9Z)) is a common differential metabolite in plasma and heart, which is produced by lipoprotein-associated phospholipase A2 (Lp-PLA2), hydrolyzes oxidized linoleic acid to produce pro-inflammatory substances. QWQX І regulates the level of LysoPC (16:1 (9Z)) and Lp-PLA2 to normal.
Conclusion: QWQX І combined with western medicine can improve the cardiac function of patients with CHF. QWQX І can effectively improve the cardiac function of LAD-induced CHF rats through regulating glycerophospholipid metabolism and linolenic acid metabolism-mediated inflammatory response. Thus, QWQX I might provide a potential strategy for CHF therapy.
chronic heart failurerandomized controlled clinical trialspharmacodynamicsmetabolomicspathway analysisefficacy819301142021A15152200462020B1111100004202102021262 202201020356National Natural Science Foundation of China10.13039/501100001809Natural Science Foundation of Guangdong Province10.13039/501100003453Special Project for Research and Development in Key areas of Guangdong Province10.13039/501100015956Guangzhou Municipal Science and Technology Project10.13039/5011000102561 Introduction
Chronic heart failure (CHF) has been recognized as a major clinical and public health problem (Ambrosy et al., 2014). Globally, an estimated 64.3 million people suffer from CHF and more than 1 million are hospitalized per year in the United States and Europe (Groenewegen et al., 2020). Coronary heart disease and hypertension are the most important causes for CHF(Ziaeian and Fonarow, 2016). CHF is a complex clinical syndrome characterized by structural changes or functional abnormalities of the heart (Ponikowski et al., 2016), which is a severe manifestation or end-stage of various heart diseases (Metra and Teerlink, 2017). Current treatment focuses on inhibiting abnormal neuroendocrine activation (Sayer and Bhat, 2014), including inhibitors of angiotensin-converting enzyme (ACEI), inhibitors of angiotensin II receptors (ARBs), inhibitors of angiotensin receptor enkephalinase (ARINs), beta-blockers, and antagonists of aldosterone receptors (McDonagh et al., 2021). The latest research shows that sodium-glucose cotransporter 2 (SGLT2) inhibitors reduced the risk of hospitalizations for heart failure (Nassif et al., 2021). However, CHF patients after the current treatment still have poor prognosis and low 5-year survival rate (Rosano and Vitale, 2018). Therefore, it is still urgent to find a new strategy for CHF therapy at this stage (Zhuang et al., 2021).
Traditional Chinese medicine (TCM) has provided ideas for the treatment of various diseases over the years (Wen et al., 2018). TCM has accumulated rich clinical experience in the treatment of HF, and has unique curative effects in stabilizing heart failure, improving cardiac function and quality of life (Wang et al., 2017). In TCM, qi deficiency, static blood, and water retention are the basic pathogenesis of HF. Professor Rong Li proposed the theory “Golden Triangle of Traditional Chinese Medicine” for CHF therapy based on TCM theory and clinical experiences (Chen et al., 2021). The basic prescription for HF treatment called Qiweiqiangxin І (QWQX І) was created according to the theory. QWQX І consists of seven traditional Chinese medicines including Renshen (Panax ginseng C. A. Meyer.), Huangqi (Astragalus membranaceus (Fisch.) Bge. var. mongholicus (Bge.) Hsiao), Danshen (SaZwia miltiorrhiza Bge.), Yimucao (Leonurus japonicus Houtt.), Tinglizi (Descurainia sophia (L.) Webb, e x Prantl.), Maodongqing (Ilex pubescens) and Guizhi (Cinnamomum cassia Preslf). Previous studies showed that the single Chinese herbal in QWQX І could improve cardiac function, reducing myocardial fibrosis and maintaining circulatory system homeostasis in CHF (Bernatoniene et al., 2014; Zhang et al., 2021; Zheng et al., 2022). Active ingredients in QWQX І, such as ginsenoside Re and cinnamon sticks, which can play a role in the treatment of heart damage (Wang et al., 2019; Peng et al., 2021). QWQX І has a complex chemical composition and multiple targets. Whether and how it reverses CHF cardiac remodeling after myocardial infarction (MI) in rats remains unknown. Therefore, it is necessary to establish a good matching relationship between its pharmacodynamic material basis, pharmacodynamics and mechanism of action, hindering the further application of QWQX І.
Metabolomics is an emerging discipline in recent years (Yu et al., 2017), which is helpful to reveal the regulatory mechanism of TCM. CHF is associated with a complex set of pathologies, including profound changes in cardiometabolism (Brankovic et al., 2018). Untargeted metabolomics is the comprehensive and systematic detection for all metabolites in the body, which is widely used to study the mechanism of disease occurrence and development, such as HF (Liu et al., 2018). Currently, UPLC-QTOF/MS is currently the most commonly used analytical method for metabolomics due to its wide range of metabolites, high throughput and high sensitivity (Cui et al., 2018). Several products of multiple cardiometabolic pathways, including metabolites related to inflammation and energy metabolism, are important intermediates in the pathogenesis of heart failure (Bacmeister et al., 2019). Thus, the application of metabolomics analyzed by UHPLC-QTOF/MS is contributed to explore the mechanism of QWQX І against CHF.
In the present study, we firstly investigated the clinical effect of QWQX І treatment in CHF patients, and then evaluated the pharmacological effect of QWQX І in LAD-induced CHF rats. In addition, plasma and cardiac tissue metabolomics studies were performed using UPLC-QTOF/MS to explore the potential differential metabolites and key signaling pathways in CHF rats after QWQX І treatment. This study will provide a better understanding of the mechanism on QWQX І against CHF and alternative strategies for CHF prevention and treatment. The research process of this study is shown in Figure 1.
Research framework of this study.
2 Materials and methods2.1 Reagents and chemicals
Methanol, acetonitrile, formic acid and tamoxifen for chromatography grade were purchased from Merck (Darmstadt, Germany). QWQX І granules were obtained from China Resources Sanjiu Medical & Pharmaceutical CO., LTD (Shenzhen, China) (batch number 2205001H), UHPLC-QTOF/MS analysis of QWQX І granules was performed (Supplementary Figure S1; Supplementary Table S1). Qiliqiangxin capsule (QLQX) is purchased from Shijiazhuang Yiling Pharmaceutical Co., Ltd (batch number A2111025). Ultrapure water was produced by a Milli-Q system (Millipore, MA, United States).
2.2 Clinical studies2.2.1 Study design
The primary objective of the clinical study was to evaluate the therapeutic effect of QWQX І in patients with CHF. This study is a single-center, randomized, controlled, prospective clinical trial conducted in the First Affiliated Hospital of Guangzhou University of Chinese Medicine (NO.JY [2021]093).
IV. Participate voluntarily, understand and sign the statement of consent.
2.2.2.2 Exclusion criteria
I. Heart failure caused by valvular disease, precordial disease, or pericardial disease.
II. Patients with tumors, severe endocrine system disease, psychiatric disease, severe primary disease of the hematopoietic system, uncontrollable malignant arrhythmias, second-degree type II or greater sinus or atrioventricular block without pacemaker protection, progressive exacerbation of acute coronary syndrome, uncontrolled hypertensive crisis, hypokalemia.
III. Patients planning to receive coronary revascularization therapy or cardiac resynchronization therapy within 1 month.
IV. Women who are pregnant or planning to become pregnant and women who are breastfeeding for a short period of time.
V. Allergic patients or those with known allergy to therapeutic drugs.
VI. Those who are undergoing other drug trials.
2.2.3 Study protocol
Participants who met all inclusion criteria and any of the exclusion criteria were randomly assigned to control group or QWQX І group. The control group received standardized anti-heart failure drug therapy (ACEI/ARB/ARNI, beta-blockers, antagonists of aldosterone receptors and SGLT2) according to the “2018 Chinese Guidelines for the Diagnosis and Treatment of Heart Failure”, and patients in the QWQX І group received QWQX I and the standardized anti-heart failure drug therapy. Baseline data was collected from patients on the day of enrollment, including gender, age, duration of HF, comorbid diseases, and anti-HF drug regimen. Primary and secondary endpoints for this study were collected at enrollment and after 4 weeks of follow-up, respectively.
2.2.4 Endpoints
The primary endpoint of this clinical study was left ventricular ejection fraction (LVEF) as measured by echocardiography, and secondary endpoints included left ventricular end-diastolic internal diameter (LVEDD), left ventricular end-systolic internal diameter (LVESD), plasma N-terminal pro-B type natriuretic peptide (NT-proBNP) levels, and the Minnesota Life with Heart Failure Questionnaire (MLHFQ) score.
2.3 Pharmacodynamic analysis2.3.1 Animal models and research design
Male Sparaque-Dawley rats (body weight 220–250 g) from the Animal Experiment Center of Southern Medical University. Experimental procedures were approved by the Animal Ethical Use Committee of Guangzhou University of Traditional Chinese Medicine (No. IITCM-20211213).
After anesthesia, the rats were subjected to the ventilator and the pericardium was opened. The left anterior descending coronary artery (LAD) was ligated with a 6–0 polypropylene suture. The myocardium below the ligation point turns red to white, which indicated that a model of myocardial ischemia (MI) was successfully established. A similar surgery procedure was performed without LAD ligation in Sham group.
The rats with MI were randomized into 6 groups after 4 weeks: sham group, model group, QLQX group (600 mg/kg), low-dose QWQX І group (QWQX І-L, 850 mg/kg, equivalent to 0.5 time of the clinical dose), medium-dose QWQX І group (QWQX І-M, 1700 mg/kg, a dose equivalent to the clinical dose) and a high-dose QWQX І group (QWQX І-H, 3400 mg/kg, which corresponds to twice of the clinical dose). The model group and the sham group were given the same dose of deionized water. Low, medium and high dose groups received QWQX І. Gastric suspension was administered to the QLQX group. The above 6 groups were treated with continuous medication or distilled water for 4 weeks.
2.3.2 Echocardiographic assessment of cardiac function
Cardiac geometry and function were assessed by echocardiographic analysis using a 30 MHz high-resolution imaging system radiofrequency scan head (VisualSonics Vevo770, VisualSonics, Toronto, Canada).
2.3.3 Plasma and cardiac tissue sample collection
Plasma and cardiac tissue were collected after completion of the 8-week echocardiographic study. All animals were anesthetized by intraperitoneal injection of 40 mg/kg 2% sodium pentobarbital. Blood was collected from the abdominal aorta and plasma was prepared as follows: the blood was placed in purple capped tubes and left at room temperature for 30 min. The tubes were placed in a refrigerated centrifuge (4°C) and spun at 4000 rpm for 15 min. Transfer the supernatant to cryovials and snap freeze in liquid nitrogen. Expose the heart and inject KCl (0.1 mol/L) through the apex of the left ventricle until diastole stops. Hearts were immediately removed and washed in ice-cold saline and snap frozen in liquid nitrogen. Plasma and cardiac tissue samples were stored in a −80°C freezer until metabolomic analysis.
2.3.4 ELISA kit for the detection of BNP in plasma
Rat peripheral plasma BNP was determined using ELISA kit (Quanzhou Ruixin Biology, Hangzhou, China). Measure the absorbance at OD of 450 nm using a Thermofisher microplate reader according to instructions.
After paraffin-embedding the sections, the sections were alternately treated with xylene, 100%, 95%, 80%, and 70% ethanol and distilled water for 5 min, respectively. Then, sections were stained with hematoxylin for 5 min and blued in water. After differentiation with 0.5% HCl/EtOH solution for 5 s, sections were stained with eosin for 5 min. After that, the sections were observed and photographed under a light microscope.
2.3.5.2 Masson staining
The cardiac tissue of each group was harvested, dehydrated with graded ethanol, completely immersed in xylene, embedded in paraffin, routinely sectioned, after melting the wax on the paraffin sections, the sections were soaked in potassium dichromate overnight, washed in tap water, incubated in iron hematoxylin for 3 min, and differentiated with hydrochloric acid ethanol solution. Then, the slices were dipped with ponceau red acid fuchsin (5–10 min), and washed with tap water. After that, the slices were dipped with phosphomolybdic acid aqueous solution for 1–3 min and stained directly with aniline blue dye solution (3–6 min). Finally, the slices were differentiated with 1% glacial acetic acid, dehydrated with absolute ethanol, a sealed with neutral gum and examined for myocardial fibrosis by microscopy. The fibrotic area was analyzed using image analysis software (Image Pro Plus 6.0, Media Cybernetics, United States) and the ratio of the area of the blue area (fibrotic area) to the area of the red area (normal myocardium) was calculated as collagen volume fraction. Myocardial collagen content was expressed as collagen volume fraction (CVF).
After thawing on ice, 50 µl plasma was mixed with 150 µl MeOH, vortexed for 3 min, kept overnight at −20°C, and then centrifuged at 14,000 rpm for 15 min at 4°C. Next, the supernatant was collected and dried under vacuum in 100 µl MeOH:H2O (1:1, v:v) at room temperature through a SpeedVac concentrator (Savant™ SPD1010, Thermo Scientific, Shanghai, China), internal standard Reconstituted (500 nM tamoxifen and d4-CA) and centrifuged at 14,000 rpm for 30 min at 4°C prior to analysis.
2.4.1.2 Cardiac tissue sample preparation
50 mg of cardiac tissue were mixed with 1 ml of MeOH and four small steel beads for homogenization by using an automated homogenizer (Tissuelyser-24, Jingxin Industrial Development Co., Ltd., Shanghai, China). Tissues were homogenized for 3 cycles and stored at -20°C for 1 h, then centrifuged at 14,000 rpm for 15 min at 4°C. Next, the supernatant was collected and dried in vacuo at room temperature through a SpeedVac concentrator (Savant™ SPD1010, Thermo Scientific, Shanghai, China), and mixed in 100 µl MeOH:H2O (1:1, v:v) and internal standard (500 nM tamoxifen and d4-CA) and centrifuged at 14,000 rpm for 30 min at 4 °C prior to analysis.
2.4.1.3 Quality control samples preparation
An equal amount of plasma or cardiac homogenate was taken from each sample, mixed well, and processed in the same way as the sample processing method.
2.4.2 UHPLC-QTOF/MS analysis
UHPLC-QTOF/MS analysis was performed using a 1290 ultra-high performance liquid chromatography system (Agilent, California, United States) and a 6540 Q-TOF mass spectrometer (Agilent, California, United States), operated in positive and negative ion modes. MS parameter settings are shown in Supplementary Table S2. Analysis were separated on a Waters BEH C18 column (2.1 × 150 mm, 1.7 μm, Milford, MA, United States) at a constant flow rate of 0.4 ml/min at a column temperature of 50°C. LC conditions were as follows: 0.1% formic acid in deionized water (solvent A) and 0.1% formic acid in acetonitrile (solvent B); gradient elution method is shown in Supplementary Table S3.
2.4.3 Metabolomics data processing
LC-MS data was acquired using Agilent MassHunter Acquisition software, and the data was batch processed using ProFinder 10.0 and Mass Profiler Professional software to extract characteristic information for characteristic ion peaks. Peak areas were log-transformed and finally normalized using the total peak area normalization method. A table containing ion identities, retention times, and normalized peak areas was imported into SIMCA-P for data analysis. The principle component analysis (PCA) and orthogonal projection to latent structures-discriminant analysis (OPLS-DA) model has been overfit validated and is only used if it is not overfit. Differential metabolites were screened according to the criteria of Variable Importance in Projection (VIP) > 1 and p < 0.05. MetaboAnalyst 5.0 was used for metabolic pathway analysis.
2.5 Statistical analysis
The results of the measurement data were expressed as the Mean ± SEM, and were analyzed using SPSS software (version 20.0, IBM, Chicago, Illinois, United States). If normality and homogeneity of variances were met, the differences among the groups were compared using one-way analysis of variance (0ne-way ANOVA); Bonferroni test was used for pairwise comparisons; if the variances were not homogeneous, Dunnett’s T3 test was used. If the normal distribution was not satisfied, non-parametric analysis was used to test the difference. Count data were analyzed by chi-square test or Fisher’s exact probability method. p < 0.05 means the difference is statistically significant.
3 Results3.1 QWQX І combined with western medicine can improve CHF patients’ cardiac function
A total of 66 patients with heart failure were included in this study, of which 3 (1 in the control group and 2 in the QWQX І group) were dislodged due to inaccessibility, resulting in 32 in the control group and 31 in the QWQX І group. Baseline data for the two groups are presented in Table 1. After statistical analysis, there were no statistically significant differences between the two groups at baseline in terms of age, gender, disease duration, comorbidities, and medication regimen (p > 0.05). As shown in Table 2, in the control group, the mean LVEF of patients after 4 weeks of treatment was 36.19 ± 10.39%, with no statistically significant differences before and after treatment (p > 0.05). In contrast, the mean LVEF in the QWQXІ group after treatment was 42.10 ± 12.38%, which was significantly higher than before treatment (p < 0.01). There was also a statistically significant difference in LVEF between the two groups (-1.19 ± 8.12% vs. 4.12 ± 9.15%, p < 0.01). LVESD, plasma NT-proBNP levels and MLHFQ scores decreased statistically after treatment in the QWQX І group compared with before treatment (p < 0.05), and MLHFQ scores decreased before and after treatment in both groups (p < 0.05); however, there was no statistically significant difference in LVEDD, LVESD and plasma NT-proBNP before and after treatment between the two groups (p > 0.05).
Baseline Characteristics of Patients in control or QWQX І groups.
Terms
Control group
QWQX І group
P
Demographic Information
Male, n
19
24
0.124
Female, n
13
7
Age, years
67.09 ± 10.21
66.45 ± 9.23
0.795
Disease Duration, years
3.54 ± 4.32
3.41 ± 4.38
0.746
Combined Diseases
Coronary heart disease, n
25
16
0.755
Essential hypertension, n
22
22
Type 2 diabetes, n
16
14
Atrial fibrillation, n
6
7
Chronic kidney disease, n
13
15
Medication regimen
A, n
20
18
0.977
B, n
23
24
M, n
18
17
S, n
18
20
NYHA cardiac function classification
Class II, n
2
0
0.364
Class III, n
20
19
Class IV, n
10
12
A = angiotensin-converting enzyme inhibitors/angiotensin receptor blockers/angiotensin receptor-neprilysin inhibitors, B = adrenergic beta-blockers, M = mineralocorticoid receptor antagonists, S = sodium-glucose cotransporter 2 inhibitors.
Change in endpoints from baseline to after 4 weeks of follow-up.
Endpoints
Groups
Baseline
4-week
P
LVEF
Control group
37.38 ± 12.44
36.19 ± 10.39
0.415
QWQX І group
37.97 ± 11.95
42.10 ± 12.38
0.018
P
0.848
p = 0.044
LVEDD
Control group
61.66 ± 9.73
61.84 ± 9.11
0.887
QWQX І group
60.71 ± 9.68
60.55 ± 9.05
0.880
P
0.700
0.573
LVESD
Control group
50.16 ± 9.44
50.50 ± 9.80
0.741
QWQX І group
49.65 ± 10.56
47.61 ± 10.13
0.047
P
0.840
0.255
NT-proBNP levels
Control group
2221.15 (822.80, 7085.94)
1230.36 (452.80, 2590.75)
0.010
QWQX І group
1331.00 (827.05, 2609.50)
927.80 (382.60, 1910.00)
0.000
P
0.111
0.402
MLHFQ score
Control group
60.59 ± 7.04
43.94 ± 7.94
0.000
QWQX І group
61.65 ± 5.33
39.26 ± 5.65
0.000
P
0.506
0.009
3.2 QWQX І treatment improved cardiac function and decreased BNP in CHF rats
As shown in Figures 2A–G, after 4 weeks of drug intervention, echocardiography was performed on the rats in each group. The echocardiography results showed that compared with the sham group, the EF and FS of the Model group decreased (p < 0.001) after LAD induction. LVEDD, LVESD, left ventricular end-systolic volume (EVS), and left ventricular end-diastolic volume (EVD) were all significantly decreased (p < 0.05). QWQX І treatment significantly increased the EF from 34.66% to 36.77%, 49.01%, 54.92%, and FS from 17.55% to 20.90%, 25.91%, 32.05% in a dose-dependent manner, which at QWQX І-M group was equivalent to the effect of QLQX treatment. In addition, LVEDD, LVESD, EVS and EVD were significantly reduced (p < 0.05). The plasma BNP levels of rats were detected, and the Model was significantly higher than the sham group in Figure 3A (p < 0.01). QWQW I and QLQX decreased the level of BNP (p < 0.05); and the BNP in the QWQX І-M group decreased significantly from 785.65 pg/ml to 248.98 pg/ml (p < 0.05). decreased (p < 0.01). The above results suggest that QWQX І can protect rats against LAD-induced CHF.
QWQX І treatment improved cardiac function in CHF rats. (A) Echocardiography images of rats in different groups. (B–G) Effect of QWQX І on LAD-induced echocardiographic parameters. Data are expressed as the Mean ± SEM. ##p < 0.01, ###p < 0.001, the Model group vs. the sham group; *p < 0.05, **p < 0.01, ***p < 0.001, drug treatment group vs. the Model group.
Effect of QWQX І on histopathological changes in CHF rats. (A)Plasma level of BNP. (B) Images of HE staining. (C) Images of Masson staining. (D) Quantitative analysis of CVF. Data are expressed as the Mean ± SEM. ###p < 0.001, the Model group vs. the sham group; *p < 0.05, **p < 0.01, ***p < 0.001, drug treatment group vs. the Model group.
3.3 QWQX І treatment improved the pathological changes and cardiac fibrosis in CHF rats
HE staining in Figure 3B showed that compared with the sham group, there was a widely thinned infarct area in the left ventricular wall in the Model group. These pathological changes were relatively improved in the QLQX and QWQX І groups. Specifically, after QLQX and QWQX І treatment, the morphology of muscle fibers in the infarct border area was basically regular, and the number of necrotic muscle cells was reduced. As shown in Figure 3C, the normal muscle tissue of the sham group had only a small amount of collagen. However, a large amount of blue collagen was occupied in the infarcted area and interstitial area of muscle cells in the Model group. Based on Masson’s trichrome staining, CVF is the recommended index for evaluating left ventricular fibrosis. As shown in Figure 3D, compared with the sham group, the CVF of the Model group was significantly increased (p < 0.001), however, QLQX and QWQX І treatment partially reduced the collagen (p < 0.05).
3.4 QWQX І modulated the metabolome of plasma in CHF rats
Based on the clinical study and pharmacodynamic results, the sham group, Model group and QWQX І -M group were selected for UHPLC-QTOF/MS analysis.
UHPLC-Q-TOF-MS was used for data acquisition of plasma samples, and the total ion flow chromatograms of rat plasma in positive and negative ion modes (Supplementary Figure S1). Plasma quality control samples showed tight clustering results in the PCA score plot in positive and negative ion mode, and PCA also showed that all quality control samples are within 2 times the standard deviation (SD) in the score plot, which means the stability of the UHPLC-QTOF/MS system in batch analysis was satisfactory (Supplementary Figure S1). Multivariate statistical analysis constructed an unsupervised and integrated view of OPLS-DA to explore distributions and trends in the sham, Model, and QWQX І groups. As shown in Figures 4A, B, the three groups had a good trend of separation in 3D space, indicating that significant metabolic changes occurred after LAD induction. An OPLS-DA model was performed to show pairwise differences between the sham, Model, and QWQX І groups to explore potential differential metabolites associated with chronic heart failure and QWQX І treatment. Figures 5A, B showed good separation between the sham and Model groups in the OPLS-DA score plots, revealing significant changes in metabolites in LAD-induced chronic heart failure rats; Figures 6A, B showed that Model group and QWQX І group rat plasma samples were clearly separated in the supervised OPLS-DA score map in positive and negative ion mode, indicating that QWQX І has a certain regulatory effect on the rat plasma metabolic disorder caused by chronic heart failure. Furthermore, 200 times permutation tests were performed to validate the OPLS-DA model and to avoid overfitting, resulting in a pattern with intercepts of R2 = 0.994, Q2 = -0.0913 and R2 = 0.994, Q2 = -0.0913, indicating that the established OPLS-DA model has outstanding applicability and predictability (Figures 5C, D and Figures 6C, D). Metabolites were carefully screened before being approved as potential differential metabolites. A visual sigmoid plot was used to show the relationship between the covariance and correlation of the OPLS-DA model and the variable importance (VIP) value in the projection to identify features that contributed to group separation, reducing metabolite selection. risk of false positives. As shown in Figures 5E, F and the S panel of Figures 6E, F, combined with VIP value (VIP > 1) and t-test (p < 0.05) and combined with online databases such as HMDB and KEGG, 23 and 16 metabolites with important contributions after CHF interference and QWQX І treatment were screened in positive and negative mode (Tables 3 and 4). A heatmap cluster analysis of their shared differential metabolites (Figures 5G, 6G) showed that the different metabolites leveled back to the sham group after QWQX І treatment. The 23 and 16 differential metabolites were imported into the MetaboAnalyst 5.0 (https://www.metaboanalyst.ca/) webpage for metabolic pathway analysis, with p < 0.05 or pathway impact > 0.1 as the screening criteria for potential key metabolic pathways (Figures 5H, 6H), the results show that QWQX І mainly regulates the metabolism of plasma through glycerophospholipid metabolism and linoleic acid metabolism to exert its therapeutic effect on CHF.
Plasma metabolomics OPLS-DA scores for each group of rats. (A) Negative mode of various rats. (B) Positive mode of various rats.
Multivariate statistical analysis of plasma in sham and model groups of rats. (A–B) OPLS-DA score plots of sham and model groups. (C–D) Validation plots after 200 replacement tests. (E–F) S-plots of sham and model groups from the OPLS-DA model. (G) Heatmap of chronic heart failure rats. (H) Plots of metabolic pathways associated with chronic heart failure rats. (A, C, E) negative mode; (B, D, F) positive mode.
Multivariate statistical analysis of plasma in QWQX І and the model groups of rats. (A–B) Plots of OPLS-DA scores in QWQX І and model groups. (C–D) Validation plots after 200 replacement tests. (E–F) S-plots of QWQX І and model groups in OPLS-DA model. (G) Heatmap of QWQX І against chronic heart failure in rats. (H) Plots of metabolic pathways associated with QWQX І against chronic heart failure in rats. (A, C, E) negative mode; (B, D, F) positive mode.
Differential metabolites in rat plasma associated with chronic heart failure (p < 0.05).
Name
Formula
mode
Mass m/z
RT (min)
HMDB
Log2FC
DG (18:1 (11Z)/22:5 (7Z,10Z,13Z,16Z,19Z)/0:0)
C43 H72 O5
ESI-
668.5356
14.476
HMDB07207
-1.34
PI(18:1 (9Z)/20:3 (8Z,11Z,14Z))
C47 H83 O13 P
ESI-
886.5514
19.18
HMDB09843
-1.60
Piperochromenoic acid
C22 H28 O3
ESI-
340.2053
13.198
HMDB0040635
-0.75
trifluoroacetic acid
C2 H F3 O2
ESI-
113.9929
0.87
HMDB14118
0.59
Acetyl-DL-Valine
C7 H13 N O3
ESI-
159.0895
4.921
HMDB11757
1.97
5-keto-n-caproic acid
C6 H10 O3
ESI-
130.0628
4.526
HMDB0061881
0.80
7-trans,9-cis-octadecadienoic acid
C18 H32 O2
ESI-
280.2392
14.357
HMDB0062784
-0.79
beta-Doradecin
C40 H52 O3
ESI-
580.3938
16.188
HMDB39143
-2.47
Serinyl-Proline
C8 H14 N2 O4
ESI-
202.0947
0.999
HMDB29047
1.03
Sodium glycocholate
C26 H43 N O6
ESI-
465.3075
8.316
HMDB32596
1.31
Glycoursodeoxycholic acid
C26 H43 N O5
ESI-
449.3127
9.522
HMDB00708
1.542
PE (20:0/0:0)
C25 H52 N O7 P
ESI-
509.3465
12.88
HMDB0011511
-0.60
PC(18:1 (11Z)/20:3 (5Z,8Z,11Z))
C46 H85 N O8 P
ESI+
810.604
15.213
HMDB0008079
-3.93
4-Hydroxy-6-docosanone
C22 H44 O2
ESI+
340.3346
12.693
HMDB35667
-2.35
PC(18:1 (11Z)/20:3 (8Z,11Z,14Z))
C46 H85 N O8 P
ESI+
810.6043
15.241
HMDB08080
-4.72
PC(16:0/22:5 (7Z,10Z,13Z,16Z,19Z))
C46 H83 N O8 P
ESI+
808.5871
18.15
HMDB07990
-3.25
N-stearoyl valine
C23 H45 N O3
ESI+
383.3399
15.008
HMDB0241952
1.49
PC(18:1 (9Z)/22:5 (4Z,7Z,10Z,13Z,16Z))
C48 H85 N O8 P
ESI+
834.6027
15.183
HMDB08121
-1.26
PE (22:0/0:0)
C27 H56 N O7 P
ESI+
537.3799
14.087
HMDB0011520
-1.01
LysoPC(20:3 (8Z,11Z,14Z))
C28 H53 N O7 P
ESI+
546.3579
12.258
HMDB10394
-0.59
LysoPC(16:1 (9Z))
C24 H49 N O7 P
ESI+
494.3247
11.2
HMDB0010383
0.95
LysoPC(16:0)
C24 H51 N O7 P
ESI+
496.3422
12.198
HMDB0010382
3.04
N-stearoyl glutamic acid
C23 H43 N O5
ESI+
413.3136
13.18
HMDB0241942
1.20
Differential metabolites of QWQX І anti-chronic heart failure-related rat plasma (p < 0.05).
3.5 QWQX І modulated the metabolome of cardiac tissue in CHF rats
UHPLC-Q-TOF-MS was to collect data on cardiac tissue samples, and the total ion flow chromatograms of rat cardiac tissue in positive and negative ion modes are shown in Supplementary Figure S2. The PCA score plots of cardiac tissue QC samples in positive and negative ion mode showed tight clustering results, and the PCA also showed that all QC samples are within 2 times the SD of the score plot, which means the stability of the UHPLC-Q-TOF-MS system in batch analysis was satisfactory (Supplementary Figure S2). Multivariate statistical analysis constructed an unsupervised and integrated view of OPLS-DA to explore distributions and trends in the sham, Model, and QWQX І groups. As shown in Figures 7A, B, the three groups had a good trend of separation in 3D space, indicating that significant metabolic changes occurred after LAD induction. An OPLS-DA model was performed to show pairwise differences between the sham, Model, and QWQX І groups to explore potential differential metabolites associated with chronic heart failure and QWQX І treatment. Figures 8A, B show good separation between the sham and Model groups in the OPLS-DA score plot, revealing significant changes in metabolites in LAD-induced chronic heart failure rats; Figures 9A, B show, Model group and QWQX І group rat plasma samples were clearly separated in the supervised OPLS-DA score map in positive and negative ion mode, indicating that QWQX І has a certain regulatory effect on the metabolic disorder of rat cardiac tissue caused by chronic heart failure. In addition, to validate the OPLS-DA model and to avoid overfitting, performed 200 times permutation tests, and high values of Q2 were obtained without overfitting, indicating the outstanding applicability and predictiveness of the established OPLS-DA model (Figures 8C, D and Figures 9C, D). Metabolites were carefully screened before being approved as potential differential metabolites. A visual sigmoid plot was used to show the relationship between the covariance and correlation of the OPLS-DA model and the variable importance (VIP) value in the projection to identify features that contributed to group separation, reducing metabolite selection. risk of false positives. As shown in Figure 8 E-F and 9 E-F’s diagram, combined with VIP value (VIP>1) and t-test (p < 0.05) and combined with online databases such as HMDB and KEGG, the metabolites that contributed significantly after obtaining CHF and QWQX І treatment in positive and negative mode were screened34 and 32 (Tables 5 and 6). Heatmap clustering analysis of their shared differential metabolites (Figure 8G; Figure 9G) showed that different metabolites were leveled back to the sham group after QWQX І treatment. The 34 and 32 differential metabolites were imported into the MetaboAnalyst 5.0 (https://www.metaboanalyst.ca/) webpage for metabolic pathway analysis, with p < 0.05 or pathway impact > 0.1 as the screening criteria for potential key metabolic pathways (Figure 8H; Figure 9H), the results show that QWQX І mainly regulates the metabolism of cardiac tissue through taurine and hypotaurine metabolism, glycerophospholipid metabolism and linoleic acid metabolism to exert its therapeutic effect on CHF.
Cardiac tissue metabolomics OPLS-DA scores for each group of rats. (A) Negative mode of various rats. (B) Positive mode of various rats.
Multivariate statistical analysis of cardiac tissue in sham and model groups of rats. (A–B) OPLS-DA score plots of sham and model groups. (C–D) validation plots after 200 replacement tests. (E–F) S-plots of sham and model groups from the OPLS-DA model. (G) Heatmap of chronic heart failure rats. (H) plots of metabolic pathways associated with chronic heart failure rats. (A, C, E) negative mode; (B, D, F) positive mode.
Multivariate statistical analysis of cardiac tissue in QWQX І and model groups of rats. (A–B) Plots of OPLS-DA scores in QWQX І and model groups. (C–D) Validation plots after 200 replacement tests. (E–F) S-plots of QWQX І and model groups in OPLS-DA model. (G) Heatmap of QWQX І against chronic heart failure in rats, (H) Plots of metabolic pathways associated with QWQX І against chronic heart failure in rats. (A, C, E) negative mode; (B, D, F) positive mode.
Differential metabolites in rat cardiac tissue associated with chronic heart failure (p < 0.05).
The top three enriched metabolic pathways affected by QWQX І included taurine and hypotaurine metabolism, glycerophospholipid metabolism and linoleic acid metabolism. Notably, these metabolic pathways are interconnected and QWQX І may affect these different therapeutic pathways for the purpose of treating CHF. To investigate the working mechanism of QWQX І, the KEGG (Kyoto Encyclopedia of Genes and Genomes) database and related metabolites were used as summarized in Figure 10A. Lp-PLA2 has the function of catalyzing the hydrolysis of phosphatidylcholine (PC) to lysophosphatidylcholine (LPC), so we compared the semiquantitative plasma and cardiac peak intensity levels of PC and LPC between different groups (Figures 10B–E). We found that the expression levels of PC and LPC in plasma and heart were opposite in CHF state and after QWQX І treatment, which should be caused by the release of LPC-like substances into the blood after heart failure. Notably, a key differential metabolite LysoPC(16:1 (9Z)) shared by plasma and heart was produced by Lp-PLA2 (Figures 10F, G), and we detected the enzyme activity for Lp-PLA2 by ELISA kit. As shown in Figure 10H, the activity of Lp-PLA2 was increased in the model group (p < 0.01), while QWQX І treatment could reduce that (p < 0.05). Since Lp-PLA2 can hydrolyze oxidized linoleic acid to produce pro-inflammatory substances, we also used ELISA kits to detect linoleic acid (LA), arachidonic acid (AA), tumor necrosis factor-α (TNF-α), leukocytes Interleukin 6 (IL-6) and Interleukin 1β (IL-1β). As shown in Figure 10I–M, the expression levels of pro-inflammatory substances in the model group increased to varying degrees (p < 0.05), and returned to normal levels after treatment with QWQX І. These results suggest that QWQX І reverses the LAD-induced cardiac remodeling process in CHF rats by suppressing the levels of inflammatory factors TNF-α, IL-1β, and IL-6 in LAD-induced CHF through mediating Lp-PLA2.
Screening of plasma and cardiac tissue candidate key differential metabolites in CHF rats after treatment with QWQX І. (A) Potential metabolic pathways. (B) Total LPC in plasma. (C) Total PC in plasma. (D) Total LPC in heart tissue. (E) Total PC in heart tissue. (F) LysoPC(16:1 (9Z)) in plasma. (G) LysoPC(16:1 (9Z)) in heart tissue. (H) The level of Lp-PLA2. (I) The level of AA. (J) The level of LA. (K) The level of TNF- α. (L) The level of IL-6. (M) The level of IL-1β. Data are expressed as the Mean ± SEM. #p < 0.05, ##p < 0.01, ###p < 0.001, the Model group vs. the sham group; *p < 0.05, **p < 0.01, ***p < 0.001, drug treatment group vs. the Model group.
4 Discussion
In this study, QWQX І was proved to be effective against MI-induced CHF. Clinical studies, in vivo pharmacodynamics and metabolomics revealed the following findings: 1) QWQX І improved cardiac function and cardiac remodeling; 2) metabolite enrichment analysis suggested that glycerophospholipid metabolism and taurine and hypotaurine metabolism were the potential pathways for CHF therapy of QWQX I; 3) KEGG analysis showed that Lp-PLA2 is a key metabolic enzyme regulated by QWQX I in CHF.
TCM have advocated combination therapy to treat cardiovascular diseases, such as heart failure (Zhang et al., 2019). QWQX І is an experienced prescription based on the theory of traditional Chinese medicine, which includes 7 herbs. Among them, astragalus and ginseng are the main herbs with positive inotropic, positive chronotropic, vasodilatory, anti-inflammatory and diuretic effects in myocardial ischemia and failure (He et al., 2021). Ginseng inhibits cardiomyocyte hypertrophy and heart failure by inhibiting Na+-H+ exchanger 1 (NHE-1) and attenuating calcineurin activation (Guo et al., 2011). At the same time, ginseng can reverse the established cardiomyocyte hypertrophy and heart failure after myocardial infarction (Moey et al., 2012). Huangqi granule protects failing hearts against electrical remodeling by downregulating CaMKII (Li et al., 2017). In the present study, the clinical trial suggested that QWQX І improved the cardiac function and quality of life in patients with heart failure. In vivo animal study also showed that QWQX І could improve myocardial function, reduce left ventricular size and inhibit interstitial inflammation and fibrosis.
Studying the mechanism of action of drugs is one of the most important tasks in drug research. Since QWQX І has shown positive clinical effects in the treatment of heart failure, we used metabolomics analysis to explore possible molecular mechanism of QWQX І against CHF. It was found that QWQX І could regulate the metabolism of taurine and hypotaurine, glycerophospholipid metabolism and linoleic acid metabolism pathways. Taurine is a key metabolite in the metabolic pathway of taurine and hypotaurine, and ubiquitously present in the mitochondria of cardiomyocytes (Schaffer et al., 2016) to maintain the normal respiratory chain of mitochondria. Taurine intake can increase the activity of mitochondrial carnitine palmitoyltransferase (CPT) involved in fatty acid oxidation and ketone body production in rats (Murakami et al., 2018). Taurine is mainly produced by a series of enzymatic reactions from methionine and cysteine. Cysteine promotes taurine production (Huang et al., 2019), Cysteine sulfite carboxylase that synthesizes taurine in humans (CSAD) is considered to be the rate-limiting enzyme in mammalian taurine biosynthesis (Abbasian et al., 2021), Cysteine can synthesize glutathione with glycine and glutamic acid in the body (Forman et al., 2009). Our results showed that the level of taurine in the heart of the CHF model rats was increased, while decreased after QWQX І intervention.
LysoPC(16:1 (9Z)) is a metabolite on the metabolic pathway of glycerophospholipid metabolism and co-differential metabolite in the plasma and cardiac tissue metabolome, involved in the regulation of many cellular processes. In this study, LysoPC(16:1(9Z)) level was decreased in the heart of the Model group, and its level was back to normal levels after the administration of QWQX І for intervention. Plasma LysoPC(16:1 (9Z)) was significantly higher in the Model group rats than in the sham group rats, and it was significantly reduced after administration of QWQX І. It is speculated that this may be caused by the release of LPC-like substances into the blood after the occurrence of MI. In the MI heart, the ischemic myocardium consumes more oxygen than it supplies and energy production is impaired. As hypoxia progresses and the stress state persists, the myocardium requires more energy, at which point fat mobilization increases compensatorily (Mahat et al., 2021). It has been found that the lysophospholipid content in the peripheral blood of rats with heart failure is elevated, which may be due to the fact that in heart failure, the body is in a state of chronic hypoxia, resulting in the inability of some body cells to compensate, leading to apoptosis or necrosis, and the abnormal homeostasis of lysophospholipids alters the interaction of membrane-associated protein complexes that regulate myocardial metabolism (Fu et al., 2019). PC is involved in VLDL secretion (Rinella et al., 2008) and HDL metabolism (Jacobs et al., 2004). After being secreted into the blood stream, PC on lipoprotein particles is degraded at the Sn-2 site of oxidized fatty acids by hydrolysis of Lp-PLA 2, which then produces LPC under various physiological and pathological conditions (Law et al., 2019). LysoPC(16:1 (9Z)), which is composed of palmitoleic acid chains located at the c-1 position, is associated with oxidative damage and inflammatory responses, and can cause strong coronary artery constriction, increase myocardial oxygen consumption, and expand the extent of myocardial infarction. The breakdown of fatty acids contributes to the consumption of PC, phosphatidylethanolamine (PE) and other substances (Zhu et al., 2019), leading to a decrease in its content. This reflects further deterioration of impaired lipid uptake and utilization, as well as a marker of decreased myocardial contractility. Elevated levels of lysophospholipids have been reported to induce oxidative stress in endothelial cells, leading to atherosclerosis and cardiovascular disease (Kim et al., 2009). Lyso PC is a strong pro-inflammatory mediator that releases AA through the activation of Lp-PLA2 (Zhao et al., 2018), while AA is a precursor of various bioactive substances, which can be converted into leukotrienes under the action of lipoxygenase and dehydratase, and participating in the regulation of inflammatory response and immune system, etc, (Zimmer et al., 2004). Linoleic acid (LA) is an n-6 polyunsaturated fatty acid, which is one of the biomarkers of oxidative stress (Asselin et al., 2014), and higher levels of LA can promote fatty acid metabolism in cardiomyocytes, which plays an important role in the inhibition of cardiomyocyte hypertrophy (Sun et al., 2021). Research has shown that Shengmai Yin formula exerts cardioprotective effects on rats with chronic heart failure via regulating Linoleic Acid metabolism (Wang et al., 2022). Therefore, we infer that QWQX І can regulate the inflammatory response, immune system regulation and compensatory increase of fat by regulating glycerophospholipid metabolism and linoleic acid metabolism disorder.
In summary, QWQX І significantly improved these biochemical parameters and metabolomic features, significantly increased plasma Lp-PLA2 levels, and decreased inflammation-related lysophosphatidic acid and mediators.
5 Conclusion
In this study, standard western medicine therapy combined with QWQX І further improved cardiac function in CHF patients. QWQX І can effectively relieve the symptoms of CHF model rats via regulating the glycerophospholipid metabolism and linoleic acid metabolism. Our findings provide a new molecular basis for the study of the intervention mechanism of QWQX І, which are helpful for further clinical applications and promotion of QWQX І in the treatment of CHF.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
Ethics statement
The studies involving human participants were reviewed and approved by the First Affiliated Hospital of Guangzhou University of Chinese Medicine. The patients/participants provided their written informed consent to participate in this study. The animal study was reviewed and approved by the Animal Ethical Use Committee of Guangzhou University of Traditional Chinese Medicine. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.
Author contributions
WZ and HZ designed and conducted the study; WZ performed the animal experiment; WZ and HZ screened and extracted data; WZ interpreted metabolomics data and prepared figures; YL performed the clinical trial and analyzed the data; WZ, HZ, QC, YC, XZ, and ZL analyzed data, wrote and revised the manuscript; RL, RZ, and ZL supervised study. All authors have made an intellectual contribution to the manuscript and approved the submission.
Funding
This work was supported by the National Natural Science Foundation of China (81930114), Key-Area Research and Development Program of Guangdong Province Special Project for Research and Development in Key areas of Guangdong Province (2020B1111100004), Science and Technology Program of Guangzhou (202102021262, 202201020356), High-level University Discipline Collaborative Innovation Team of GZUCM (2021XK11, 2021XK52), the Natural Science Foundation of Guangdong Province (2021A1515220046).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2023.1111007/full#supplementary-material
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Qiweiqiangxin І granules
QLQX
Qiliqiangxin capsule
CHF
Chronic heart failure
EF
Ejection fraction
FS
Shortening fraction
LVEF
Left ventricular ejection fraction
LVESD
Left ventricular end-systolic internal diameter
LVEDD
Left ventricular end-diastolic internal diameter
LAD
Left anterior descending coronary artery
MI
Myocardial ischemia
EVS
Left ventricular end-systolic volume
EVD
Left ventricular diastolic volume
ACEI
Inhibitors of angiotensin-converting enzyme
ARBs
Inhibitors of angiotensin II receptors
ARINs
inhibitors of angiotensin receptor enkephalinase
SGLT2
sodium-glucose cotransporter 2
MLHFQ
Minnesota Cardiac Impairment Quality of Life Scale
BNP
B type natriuretic peptide
NT-proBNP
N-terminal pro-B type natriuretic peptide
HE
Hematoxylin-eosin
UHPLC-QTOF-MS
Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry
PCA
Principle component analysis
OPLS-DA
Orthogonal projection to latent structures-discriminant analysis