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Qishen granules exerts cardioprotective effects on rats with heart failure via regulating fatty acid and glucose metabolism
Chinese Medicine volume 15, Article number: 21 (2020)
Abstract
Background
Qishen granules (QSG) has been applied to treat heart failure (HF) for decades. Our previous transcriptomics study has suggested that Qishen granules (QSG) could regulate the pathways of cardiac energy metabolism in HF, but the specific regulatory mechanism has not yet been clarified. This study was to investigate the potential mechanism of QSG in regulating myocardial fatty acid (FA) and glucose metabolism in a rat model of HF.
Methods
The model of HF was induced by left anterior descending coronary artery ligation. Cardiac structure and function were assessed by cine magnetic resonance imaging (MRI) and echocardiography. Level of glucose metabolism was non-invasively evaluated by 18F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT). Blood lipid levels were determined by enzymatic analysis. The mitochondrial ultrastructure was observed with a transmission electron microscope. The critical proteins related to FA metabolism, glucose metabolism and mitochondrial function were measured by western blotting. The ANOVA followed by a Fisher’s LSD test was used for within-group comparisons.
Results
QSG ameliorated cardiac functions and attenuated myocardial remodeling in HF model. The levels of serum TC, TG and LDL-C were significantly reduced by QSG. The proteins mediating FA uptake, transportation into mitochondria and β-oxidation (FAT/CD36, CPT1A, ACADL, ACADM, ACAA2 and SCP2) as well as the upstreaming transcriptional regulators of FA metabolism (PPARα, RXRα, RXRβ and RXRγ) were up-regulated by QSG. As to glucose metabolism, QSG inhibited glycolytic activity by decreasing LDHA, while stimulated glucose oxidation by decreasing PDK4. Furthermore, QSG could facilitate tricarboxylic acid cycle, promote the transportation of ATP from mitochondria to cytoplasm and restore the mitochondrial function by increasing SUCLA2, CKMT2 and PGC-1α and decreasing UCP2 simultaneously.
Conclusion
QSG improved myocardial energy metabolism through increasing FA metabolism,inhibiting uncoupling of glycolysis from glucose oxidation.
Background
Heart failure (HF) is a major cause of cardiovascular morbidity and mortality. Despite of the great progress in drug and device therapy, the 5-year mortality rate of HF patient remains alarming [1, 2]. There’re more than 37.7 million HF patients worldwide and the total economic burden of HF was estimated at $108 billion per annum [3, 4]. The effect of current clinical drugs, such as β-blockers, angiotensin-converting enzyme inhibitors and aldosterone antagonists, are still unsatisfied due to the potential inhibition on neuroendocrine system [5]. Therefore, new therapeutic strategies for HF are urgently needed.
Energy metabolism has become the promising therapeutic targets for HF [6]. HF is characterized by dysfunction of generating adenosine triphosphate (ATP) to maintain cardiac contractility due to the metabolic imbalance of fatty acid (FA) and glucose metabolisms [7]. In the healthy circumstances, fatty acid oxidation (FAO) is the major resource of ATP [6]. In the failing heart, both FAO and glucose oxidation were inhibited compensated by glycolysis [8, 9]. The enhanced activity of glycolysis uncoupled from glucose oxidation will lead to energy deficiency and lactate accumulation which can eventually deteriorate the HF [10, 11]. FA metabolism is mainly mediated by fatty acid translocase/cluster of differentiation 36 (FAT/CD36)—carnitine palmitoyltransferase 1 (CPT1)—FAO pathway which is transcriptionally regulated by nuclear factor peroxisome proliferator activated receptor alpha (PPARα)—retinoid x receptors (RXRs) axis [12]. The glucose metabolic changes are accompanied by alterations in lactate dehydrogenase A (LDHA) and pyruvate dehydrogenase kinase 4 (PDK4). At present, it’s considered to be effective therapeutic strategies for HF to promote FA metabolism by facilitating β-oxidation or activating PPARα and enhance glucose oxidation through PDK inhibitor [9].
Traditional Chinese medicine (TCM) has been approved as an attractive candidate for promoting energy metabolism in HF therapy due to its multi-components and multitargets characteristics. Qishen granules (QSG) is composed of Radix Astragali, Radix salvia miltiorrhizae, Flos Lonicerae, Radix Scrophulariae, Radix Aconiti Lateralis Preparata, Radix Glycyrrhizae (Table 1) and the ratio of these herbs was 30:15:10:10:9:6. QSG is a frequently prescribed formula with impressive cardio-protective properties for many years in China [13]. Previous studies reported that QSG could improve microcirculation by exerting anti-inflammatory, anti-apoptosis and anti-fibrosis effects [14,15,16,17,18,19]. In our previous study, mRNA transcriptomic analysis was used to investigate the regulatory pathway of QSG on HF rat model [20]. Interestingly, transcriptomic analysis results indicated QSG could prevent HF by regulating FA and glucose metabolism [20], but the specific regulatory mechanism on FA and glucose metabolism in the treatment of HF has not been investigated so far. In the current study, the critical molecules related to FA metabolism, glucose metabolism and mitochondrial function were measured in a rat model of HF induced by acute myocardial infarction (AMI) to explore the protective effects of QSG on HF.
Materials and methods
Experimental animals
Male Sprague–Dawley rats with weights of 240 ± 10 g were obtained from the Vital River Laboratory Animal Technology Co. Ltd. (Beijing, China). The room in which rats were housed was 23 ± 2 °C and 55 ± 5% relative humidity with artificial 12:12 h equivalent light–dark cycles. All experimental procedures were conducted according to the National Institute of Health Guide for the Care and Use of Laboratory Animals, and approved by the Animal Care Committee of Beijing University of Chinese Medicine.
Preparation and quantitative analysis of QSG
QSG consists of 6 Chinese herbs, including Radix Astragali, Radix salvia miltiorrhizae, Flos Lonicerae, Radix Scrophulariae, Radix Aconiti Lateralis Preparata, Radix Glycyrrhizae. The Chinese herbs were identified by Professor Dr. Jian Ni, School of Chinese Materia Medica, Beijing University of Chinese Medicine. The voucher specimens (Voucher numbers: HQ-2016-007; DQ-2016-008; JYH-2016-009; XS-2016-010; FZ-2016-011; GC-2016-012) were submitted to Department of Chinese medicine teaching and Research, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine. The drug used in this study was the same batch as the previously published study [16]. The fingerprint spectrum was established by the high performance liquid chromatography method to control the quality of the QSG. The results of the quality control of QSG were described in detail in our previous study [16].
Animal grouping, HF model induction and drug administration
Total 60 rats were randomly divided into 4 groups (15 rats per group): sham, model, QSG and fosinopril groups. Rats were anesthetized with 1% pentobarbital sodium (45Â mg/kg) by intraperitoneal injection before received ligation surgery of left anterior descending (LAD) coronary artery as previously reported [14]. Briefly, left thoracotomy between third and fourth intercostal space was performed on rats. After exposing the cardiac tissues, LAD was ligated with a sterile suture (Shuangjian, Shanghai, P. R. China) 1Â mm below the left atrium. The thorax was then closed layer by layer. After thoracotomy, rats were warmed on a heated blanket. Sham-operated rats were manipulated in the same way, with no actual ligation of LAD. There was no animal death in the sham group during the entire experiment, while the mortality rate of rats in the model group, QSG group and fosinopril group was 26.7%, 13.3%, and 13.3% during the entire experiment, respectively.
QSG and fosinopril (Bristol-Myers Squibb, China) were dissolved in sterile saline. The rats in the QSG group were treated with QSG at a daily dose of 18.66Â g/kg for 28Â days as previous study [16]. The rats in the positive control group were treated with fosinopril at a daily dose of 1.2Â mg/kg as previous study [16]. Rats in the sham group and model group were administered with normal saline (10Â ml/kg/day).
Assessment of cardiac functions by echocardiography
Echocardiography was applied to detect the Left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), ejection fraction (EF), fractional shortening (FS). A PST 65A sector scanner (8-MHz probe) was employed, which generates two-dimensional images at a frame rate of 300 to 500 frames/s. The left ventricular dimension was measured using M-model ractional shortening, and FS was calculated using the following equation:
EF was calculated using the following equation:
Assessment of cardiac functions and myocardial remodeling by cine MRI
Rats (n = 6 per group) were inhaled anesthetized with 1.5–2% isoflurane by isoflurane anesthesia system (JD Medical Dist. Co. Inc., USA) before scanning. Minor adjustments of anesthesia would be made so that heart rate could be kept as constant as possible during the experiment, considering the effect of heart rate on imaging. After the rats were fully anesthetized, the animal was moved to a 7-T MRI (Bruker pharmascan) scanner and placed in a supine position on a scan bed. A standard echo axis was first performed on a gradient echo scan of a rat thoracic cavity, followed by a cardiac movie scan. Transverse magnetic resonance images were obtained for the body region containing the heart. 11 to 12 layers of ventricular short-axis movie images were performed at the end of expiration. MR images were acquired using a flash sequence with 2.5 ms of echo time, 10 ms of repetition time, 15° of flip angle, 1 mm of thickness, 0 mm of gap, 60 mm × 60 mm field of view (FOV), 2 of number of excitations, 192 × 192 of matrix, the sequence was ECG-triggered and respiratory gated. 20 frames of movie images were captured during each cardiac cycle.
All images were segmented and calculated by the MRI software VnmrJ 3.1. Regional left ventricular (LV) function and wall motion was visually appreciated on cine MRI and short-axis slices from the base to the apex of the heart were used for quantitative assessment. Myocardium segmentation was performed among at least 8 short-axis slices outlining both, endocardial and epicardial borders in all the cardiac frames. The contour curves of left ventricular end-diastole and left ventricular end-systole were drawn manually at the level of short axis in each slice so that endocardial area could be got by the software. Left ventricular end-diastolic volume (LVEDV) and Left ventricular end-systolic volume (LVESV) were calculated from the largest and smallest areas, respectively, according to the formula [21]:
To minimize measurement errors, apical and basal slices without blood pool at either end-systole or end-diastole were disregarded [22]. Left ventricular ejection fraction (LVEF) was calculated as follow:
LVEDD, LVESD, left ventricular end-diastolic anterior wall thickness (LVEDAWT), and left ventricular end-systolic anterior wall thickness (LVESAWT) were measured at the level of papillary muscle. Left ventricular fractional shortening (LVFS) was calculated as follow:
Assessment of glucose metabolism by PET/CT imaging
Prior to scanning, rats (n = 6 per group) in the sham, model and QSG groups were prohibited from eating for more than 12 h to enhance tracer uptake into the myocardium [23] and then received an injection of 18F-FDG (5.5 MBq/kg) via abdominal cavity. Anesthesia was initiated and maintained using the same protocol as MRI examination. A micro PET P4 dedicated animal PET system (Siemens Preclinical Solutions, Knoxville, TN, USA) was used in this study. Briefly, the system has an axial FOV of 7.8 cm and a translational FOV of 12.7 cm, with a spatial resolution of 0.7 mm at the center of the FOV. Prior to imaging, the system was calibrated by imaging a rat-sized cylinder phantom filled with a known concentration of FDG (500 uci). After a low-dose CT scan for attenuation correction (tube voltage 80 kV; tube current 500 ua, total rotation degrees 220, rotation steps 120, exposure time 0.26 s, slice thick 0.2 mm), PET was performed to evaluate myocardial uptake. The heart was made in the center of the FOV, and then PET emission images of the thorax were obtained for 15 min. Data were reconstructed using the iterative OSEM3D/MAP algorithm provided by the system manufacturer, with all available corrections applied, including that for attenuation and scattering. The images were analyzed using the software Inveon Research Workplace (Siemens Preclinical Solutions, USA) with iterative ordered-subsets expectation maximization (2 iterations and 8 subsets). The matrix size was 2.0 × 2.0 mm with 128 × 128 pixels, and the slice thickness was 3.125 mm. In addition, 18F-FDG uptake in the regions of interest was also judged quantitatively by measuring the mean standard uptake value (SUVmean), the max standard uptake value (SUVmax), and the min standard uptake value (SUVmin) of LV and global heart.
Measurement of lipid metabolism in serum
Rats were anesthetized with 1% pentobarbital sodium (50 mg/kg) by intraperitoneal injection, and then blood samples (n = 6 per group) were collected from the abdominal aorta and centrifuged at 1000×g for 20 min to obtain serum. Serum total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) levels were measured by automatic biochemical analyzer (HITACH17080, Tokyo, Japan) following the instructions of kits (Sekisui chemical company, Tokyo, Japan).
Hematoxylin–eosin staining
The hearts (n = 4) were excised and irrigated with saline solution. Four left ventricles in each group were fixed in 4% paraformaldehyde solution for more than 48 h and embedded in paraffin. Sections (5 μm thick) were cut for further histological analysis. Hematoxylin–eosin (HE) staining was performed to visualize cardiomyocyte architecture [24]. Images were visualized under an optical microscope at 400× magnification.
Mitochondrial ultrastructure observation using a transmission electron microscope
The 1 mm × 1 mm × 2 mm cardiac tissues of left ventricle in infarct border zone (n = 4) which were obtained from each group randomly were fixed in 4% glutaraldehyde more than 2 h, in 1% osmic acid for 1–2 h, and then washed by PBS buffer solution 5 min (3 times). And after dehydration, permeation, embedding, and ultrathin sections cut. Ultrastructural alterations in heart tissues were observed using a transmission electron microscope (Hitachi, Tokyo, Japan).
Measurement of lactate in serum and myocardial Tissue
Lactate in serum and myocardial tissue was determined by lactic acid assay kit (Nanjing Jiancheng Bioengineering institute, A019-2-1).
Western blotting
Cardiac tissues of left ventricle in infarct border zone were rapidly frozen in nitrogen and stored at − 80 °C for further experiments. Western blotting was performed as previous study [14]. Briefly, proteins were extracted from cardiac tissues, using RIPA buffer (50 mM Tris–HCl PH7.4, 150 mM NaCl, 1% NP-40 and 0.1% SDS containing a protease inhibitor cocktail (Sigma, St. louis, MO, USA). Equal amounts of protein were subjected to sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and transferred onto polyvinylidene fluoride membranes. Standard western blot analysis was conducted using FAT/CD36 (1:500 dilutio, Abcam: ab64014). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) antibody (1:10,000 dilution, Cell Signaling Technology: 5174s) was used as a loading control. After incubation with the appropriate secondary antibodies, signals were visualized using the ECL Plus Western blotting detection reagents (Bio-Rad) for 1 min at room temperature. The bands in the membrane were visualized and densitometric analysis of band intensity was performed using Imagelab software (Bio-Rad, Hercules, CA, USA). Then the same procedure was taken to detect the CPT1A (1:2000 dilution; Abcam: ab128568), acetyl-coenzyme a acyltransferase 2 (ACAA2) (1:2000 dilution; Abcam: ab128911), acyl-coa dehydrogenase long chain (ACADL) (1:3000 dilution; Abcam: ab196655), acyl-coA dehydrogenase medium chain (ACADM) (1:4000 dilution; Abcam: ab110296), sterol carrier protein 2 (SCP2) (1:3000 dilution; Abcam: ab140126), PPARα (1:2000 dilution; Abcam: ab8934), retinoid x receptor α (RXRα) (1:4000 dilution; Abcam: ab125001), retinoid x receptor β (RXRβ) (1:2000 dilution; Cell Signaling Technology: 8715s), retinoid x receptor γ (RXRγ, 1:3000 dilution; Abcam: ab15518), succinate-coa ligase ADP-forming β-subunit 2 (SUCLA2) (1:2000 dilution; Abcam: ab202582), creatine kinase mitochondrial 2 (CKMT2) (1:2000 dilution; Abcam: ab55963), peroxisome proliferator-activated receptor gamma coactivator 1α (PGC-1α) (1:2000 dilution; Abcam: ab54481), uncoupling protein 2 (UCP2) (1:4000 dilution, Cell Signaling Technology: 89326 s), LDHA (1:500 dilution; Abcam: ab101562) and PDK4 (1:1000 dilution; Abcam: ab214938).
Statistics analysis
Data are expressed as mean ± standard error (SE). ANOVA using SPSS 17.0 software (SPSS, Chicago, IL, USA) was applied to evaluate between-group differences in the outcome variables, follow-up least significant differences (LSD) analysis verified these differences were significant. A significant difference was considered if the p value was less than 0.05.
Results
Effects of QSG on cardiac functions and myocardial remodeling in HF rats after AMI
MRI results showed that the anterior wall of the left ventricle in HF model rats was thinner and ventricular cavity was larger than those in sham-operated rats (Fig. 1). After treatment for 28 days, ventricular remodeling was attenuated in the QSG and fosinopril groups (Fig. 1). Left ventricle parameters, including LVEDAWT, LVESAWT, LVEDD, LVESD, LVEDV, LVESV, EF and FS, in each group were detailed in Fig. 1. LVEDAWT and LVESAWT were decreased whereas LVEDD, LVESD, LVEDV and LVESV were increased in the model group as compared to the sham group (P < 0.01, Fig. 1). The cardiac functions were impaired in the model group, as manifested by significant reduction in FS and EF (P < 0.01 versus the sham group, Fig. 1). The results were consistent with MRI images (Fig. 1). QSG and fosinopril could restore the LVEDD, LVESD, LVEDV and LVESV, and increase the LVEDAWT, LVESAWT, FS and EF significantly compared to the model group (P < 0.01, Fig. 1), suggesting a definite cardioprotective effect of QSG on HF.
Echocardiography showed down-regulation of EF and FS in the model group as compared with the sham group (P < 0.01, Table 2). This was accompanied by the enlargement of left ventricular end-diastolic diameter (LVEDD) and left ventricular end-systolic diameter (LVESD) (P < 0.01, Table 2). In contrast, EF and FS increased obviously while LVEDD and LVESD decreased significantly in the QSG and fosinopril groups compared to the model group (P < 0.01 or P < 0.05, Table 2), suggesting QSG could improve cardiac functions in HF.
Effects of QSG on blood lipid indicators in HF rats after AMI
TC, TG and LDL-C levels are regarded as the independent risk factors of HF. Enzymatic analysis indicated that TC, TG, and LDL-C levels in the model group were up-regulated compared with the sham group (P < 0.01, Fig. 2). After treatment with QSG and Fosinopril, TG, TC and LDL-C levels were significantly reduced (P < 0.01, Fig. 2). HDL-C showed no significant changes among the different groups (P > 0.05, Fig. 2).
Effects of QSG on myocardial morphological injury in HF rats after AMI
Results of HE staining demonstrated that cardiomyocytes in the sham group were orderly arranged and the nuclei were lightly stained (Fig. 3). The myocardial tissue in the model group exhibited obvious pathological abnormalities with pyknotic dark-staining nuclei and inflammatory cell infiltration. QSG and fosinopril could attenuate cellular degeneration and inflammatory cell infiltration (Fig. 3).
Effects of QSG on FAT/CD36-CPT1-FAO pathway in HF rats after AMI
Since QSG could regulate the blood lipid as showed above, we further detected the uptake, transportation and β-oxidation of FA which mainly mediated by FAT/CD36-CPT1-FAO pathway in myocardiocytes [9]. FAT/CD36 medicates the entry of long-chain FA into cardiac cells [25], and CPT1 is the rate-limiting enzyme for transportation of FA from cytoplasm to mitochondria [9]. ACADL, ACADM, ACAA2 and SCP2 facilitate the metabolism of FA through β-oxidation in mitochondria [26,27,28]. The protein levels of cardiac FAT/CD36, CPT1A, ACADL, ACADM, ACAA2 and SCP2 were all impressively reduced in the model group compared to the sham group (P < 0.05 or P < 0.01, Fig. 4), suggesting that the capacity of FA intake, transportation and β-oxidation was severely impaired. Intriguingly, QSG could remarkably up-regulated those indicators (P < 0.05 or P < 0.01, Fig. 4), indicating that QSG could promote FA metabolism to exert the protective effect on HF.
Effects of QSG on PPARα-RXRs pathway in HF rats after AMI
Transcription of the key molecules mentioned above are mainly regulated by PPARα-RXRs pathway in cardiac cells [12]. In the model group, the proteins levels of PPARα, RXRα, RXRβ and RXRγ decreased compared with the sham group (P < 0.05 or P < 0.01, Fig. 5). After treatment with QSG, PPARα-RXRs pathway was activated, as illustrated by the increased levels of PPARα, RXRα, RXRβ and RXRγ (P < 0.05, Fig. 5).
Effects of QSG on regulating glucose metabolism in HF rats after AMI
Glucose metabolism was assessed non-invasively by 18F-FDG PET/CT. PET images displayed transaxial, coronal and sagittal sections of 18F-FDG uptake in the different groups (Fig. 6a). Compared with the sham group, 18F-FDG uptake of the model group was significantly elevated, as evidenced by the highlight signal shown on PET images (Fig. 6a). Correspondingly, SUVmean, SUVmax, and SUVmin of LV and global heart in the model group were remarkably higher than the sham group (P < 0.05 or P < 0.01, Fig. 6b). QSG could restore abnormal metabolism evidenced by the weakened abnormal signals (Fig. 6a). Correspondingly, SUVmean, SUVmax, and SUVmin of LV and SUVmean and SUVmax of global heart were significantly decreased in the QSG group (P < 0.05 or P < 0.01, versus the model group, Fig. 6b).
Effects of QSG on the uncoupling of glycolysis from glucose oxidation in HF rats after AMI
The level of lactate in serum and myocardial tissue in the model group elevated significantly (P < 0.01 or P < 0.05, Fig. 7) compared with the sham group. QSG treatment reduced lactate level significantly compared with the model group (P < 0.01 or P < 0.05, Fig. 7). Cardiac LDHA involved in glycolysis was dramatically elevated in the HF model group (P < 0.05, Fig. 7) due to the lack of oxygen in heart. In contrast, expression of LDHA was significantly downregulated in QSG group (P < 0.01, Fig. 7). PDK4 decreases glucose oxidation by phosphorylating the pyruvate dehydrogenase complex [29]. Expression of PDK4 was up-regulated in the model group compared with the sham group (P < 0.01, Fig. 7) and down-regulated in the QSG group versus the model group (P < 0.01, Fig. 7), indicating that QSG inhibited uncoupling of glycolysis from glucose oxidation.
Effects of QSG on tricarboxylic acid cycle and the transfer of ATP from mitochondria to cytoplasm in HF rats after AMI
SUCLA2 is a core enzyme of tricarboxylic acid cycle (TAC), participates in acetyl-CoA oxidation [42]; CKMT2, a member of creatine kinase isoenzyme family, is responsible for the transfer of mitochondrial ATP to the cytoplasm [30]. Reduction of SUCLA2 and CKMT2 were observed in HF model group when compared to the sham group (P < 0.01, Fig. 8). QSG increased cardiac CKMT2 and SUCLA2 levels (P < 0.01 versus the model group, Fig. 8) to facilitate TAC and energy transfer from mitochondria to cytoplasm.
Effects of QSG on the structure and function of mitochondria in myocardial tissue of HF rats after AMI
Transmission electron microscope photos of heart tissues were shown in Fig. 9. The mitochondria arranged orderly and densely, and were round or oval in the sham group (Fig. 9a). The mitochondrial membrane’s structure was complete, and the mitochondrial cristae and matrix are clearly visible and evenly arranged in the sham group (Fig. 9b). Compared to the sham group, mitochondrial arrangement was scattered, swelling was obvious, matrix was loose, and cristae was fuzzy with obvious partial fracture in the model group (Fig. 9c, d). Compared to the model group, mitochondrial arrangement was in order (Fig. 9e), and swelling of mitochondria was significantly improved, the matrix was relatively uniform, the cristae was clear and the structure was complete (Fig. 9f).
To further investigate the effect of QSG on mitochondrial function, the expressions of PGC-1α and UCP2 were examined. PGC-1α is a key nuclear receptor coactivator that can induce mitochondrial biogenesis [31]. A reduced level of PGC-1α was observed in the model group (P < 0.05, Fig. 9g). After treatment with QSG, cardiac PGC-1α level was significantly up-regulated in comparison to the model group (P < 0.05, Fig. 9g). UCP2, a mitochondrial anion carrier protein, can lead to the uncoupling of oxidative phosphorylation and a decline in ATP synthesis when it is activated [32]. The level of UCP2 was significantly increased in the model group compared to the sham group (P < 0.01), which could be downregulated by QSG (P < 0.01 versus the model group, Fig. 9g).
Discussion
In this study, cine MRI and echocardiography were used to evaluate the effects of QSG on cardiac functions. Moreover, MRI is a non-invasive diagnostic tool applicable for simultaneous assessment of structural status of the heart during the cardiac cycles. Thus, the remodeling process and hemodynamic changes of the heart in HF rat model can also be captured accurately by MRI [33]. In this study, MRI and echocardiography results showed that QSG could improve cardiac functions and attenuate myocardial remodeling during development of HF. The cardiomyocytes were arranged in a disordered way and myocardial interstitial inflammatory cell infiltration could be observed in HF rats, accompanied with disorders of lipid metabolism. To further study the cardiac protective effect on energy metabolism, we made a comprehensive research on FA and glucose metabolism. As a result, we found that the protective effects of QSG were potentially mediated by regulating FA and glucose metabolism (Fig. 10).
QSG promoted FA uptake, transportation into mitochondria and β-oxidation in HF
The FAT/CD36-CPT1-FAO pathway, mediating FA uptake, transportation into mitochondria and β-oxidation, was suppressed in HF model in our study, which was consistent with previous studies [9]. HF is consistently associated with decreased FA metabolism and therefore an approach to treat HF is to enhance FA metabolism [9]. QSG promoted the level of FAT/CD36 to increase FA uptake in cytoplasm of cardiomyocytes [25]. Furthermore, CPT1, which facilitates the transportation of long chain FA into the mitochondrial matrix [34], was also increased by treatment of QSG. ACADL, ACADM, ACAA2 and SCP2, the critical enzymes for β-oxidation of FA within the mitochondria [26,27,28, 35], were all up-regulated by QSG treatment, indicating that QSG could promote fatty acid β-oxidation.
QSG activated PPARα-RXRs pathway to regulate the transcription of FA metabolism in HF
The protein level of PPARα, RXRα, RXRβ, RXRγ and PGC-1α in cardiac tissues of left ventricle in infarct border zone dropped significantly in the rat model of HF. The PPAR transcriptional complex controls the expression of FA utilization genes by binding to RXRs, and interacting with PGC-1α to recruit other cofactors to initiate gene transcription for FA metabolism [36, 37]. For instance, FA metabolism related molecules FAT/CD36, CPT1A, ACADL, ACADM and ACAA2 were all transcriptionally regulated by PPAR-RXRs signaling pathway [27]. There are three subtypes of PPAR, including PPARα, PPARβ and PPARγ. Among them, the principal transcriptional regulator of FA metabolism gene is PPARα, a member of the ligand-activated nuclear receptor superfamily [38, 39]. In addition, PGC-1α serves as a co-activator of PPARα and enhances FA oxidation and mitochondrial biogenesis through its synergistic effects with PPARα [31]. Our experimental study showed that PPARα-RXRs pathway was inhibited, which means that fatty acid metabolism was weakened in the rat model of HF. The up-regulated protein levels of PPARα, RXRα, RXRβ, RXRγ and PGC-1α in HF model rats indicate that QSG could promote FA metabolism by activation of PPAR-RXRs signaling pathway.
QSG regulated abnormal glucose metabolism by inhibiting uncoupling of glycolysis from glucose oxidation in HF
The change of glucose metabolism was determined by PET-CT which can directly reflect the uptake of glucose located in myocardial tissue. Results showed that glucose was accumulated abnormally in periinfarct area in HF model group, whereas that in the sham group was intact. The abnormal increase of glucose in periinfarct area in the model group may be due to compensatory increasing glucose uptake from blood into the heart and local inflammatory response in the myocardium with low energy metabolism, which is consistent with the previous study [40]. The accumulating glucose was significantly metabolized after treatment with QSG.
To further study the mechanism of glucose metabolism in HF, We examined the key enzymes involved in glycolysis and glucose oxidation. QSG inhibited the final step of anaerobic glycolysis to reduce lactic acid production by downregulating the protein level of LDHA in HF model. Lactate level in serum and myocardial tissue was also confirmed to drop significantly with QSG treatment in this study. PDK4 decreases glucose oxidation by an inhibitory phosphorylation of the pyruvate dehydrogenase complex [29] and the expression of PDK4 was down-regulated with QSG administration, indicating that QSG could inhibit uncoupling of glycolysis from glucose oxidation.
QSG facilitated TAC and the transfer of ATP from mitochondria to cytoplasm in HF
Tricarboxylic acid cycle and the transfer of ATP from mitochondria to cytoplasm are the key steps in energy metabolism. They are suppressed in the process of HF. SUCLA2 is a core enzyme of TAC [41] and the reduction of SUCLA2 in HF model rats would result in reduced ATP production [42]. CKMT2 which is responsible for the transfer of mitochondrial ATP to the cytoplasm [30] was also decreased in HF model rats in this study. In contrast, QSG facilitated TAC and the transfer of ATP from mitochondria to cytoplasm by increasing SUCLA2 and CKMT2 in HF rats.
QSG protected mitochondrial function in HF
Mitochondria function is closely related to its structure, so first of all, the mitochondrial ultrastructure was observed with an electron microscope. The mitochondrial arrangement was scattered, swelling was obvious, matrix was loose, and cristae was fuzzy with obvious partial fracture in HF model rats. QSG treatment reduced the mitochondrial structural damage significantly. PGC-1α that controls mitochondrial function and biogenesis was up-regulated after treatment with QSG in HF. The expression of UCP2 was significantly increased in HF model, leading to a decline in ATP synthesis [32]. The decreased protein level of UCP2 in QSG-treated rats indicated that QSG could enhance mitochondrial function in cardiac cells of HF model.
QSG has been demonstrated to improve myocardial energy metabolism by regulating FA and glucose metabolism in the rat model of HF induced by AMI in this study. In our previous studies, we have established stable injury models of cardiomyocytes and fibroblasts in vitro [15, 43]. We will explore the regulatory mechanism of QSG on the energy metabolism of cardiomyocytes and myocardial fibroblasts, and endeavor to find out which compounds in QSG can regulate the targets of myocardial energy metabolism in the future study.
Conclusion
The protective effects of QSG in treating HF were potentially mediated by improving FA metabolism,inhibiting uncoupling of glycolysis from glucose oxidation, facilitating tricarboxylic acid cycle, promoting the transportation of ATP from mitochondria to cytoplasm and restoring the mitochondrial function.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- ACAA2:
-
Acetyl-coenzyme A acyltransferase 2
- ACADL:
-
Acyl-coa dehydrogenase long chain
- ACADM:
-
Acyl-CoA dehydrogenase medium chain
- AMI:
-
Acute myocardial infarction
- ATP:
-
Adenosine triphosphate
- CKMT2:
-
Creatine kinase mitochondrial 2
- CPT1:
-
Carnitine palmitoyltransferase 1
- EF:
-
Ejection fraction
- FA:
-
Fatty acid
- FAO:
-
Fatty acid oxidation
- FAT/CD36:
-
Fatty acid translocase/cluster of differentiation 36
- FDG:
-
Fluorodeoxyglucose
- FFAs:
-
Free fatty acids
- FOV:
-
Field of view
- FS:
-
Fractional shortening
- GAPDH:
-
Glyceraldehyde 3-phosphate dehydrogenase
- HDL-C:
-
High-density lipoprotein cholesterol
- HE:
-
Hematoxylin-eosin
- HF:
-
Heart failure
- LAD:
-
Left anterior descending
- LDHA:
-
Lactate dehydrogenase A
- LDL-C:
-
Low-density lipoprotein cholesterol
- LSD:
-
Least significant differences
- LV:
-
Left ventricular
- LVEDAWT:
-
Left ventricular end-diastolic anterior wall thickness
- LVEDD:
-
Left ventricular end-diastolic diameter
- LVEDV:
-
Left ventricular end-diastolic volume
- LVESAWT:
-
Left ventricular end-systolic anterior wall thickness
- LVESD:
-
Left ventricular end-systolic diameter
- LVESV:
-
Left ventricular end-systolic volume
- MRI:
-
Magnetic resonance imaging
- PET/CT:
-
Positron emission tomography/computed tomography
- PPARα:
-
Peroxisome proliferator-activated receptor α
- PGC1α:
-
Peroxisome proliferator-activated receptor gamma coactivator 1-alpha
- QSG:
-
Qishen granule
- RXRα:
-
Retinoid X receptors α
- RXRs:
-
Retinoid X receptors
- RXRβ:
-
Retinoic X receptor β
- RXRγ:
-
Retinoic X receptor γ
- SCP2:
-
Sterol carrier protein 2
- SE:
-
Standard error
- SUCLA2:
-
Succinate-CoA ligase ADP-forming beta subunit
- SUV:
-
Standard uptake value
- TC:
-
Total cholesterol
- TCA:
-
Tricarboxylic acid
- TCM:
-
Traditional Chinese medicine
- TG:
-
Triglyceride
- UCP2:
-
Uncoupling protein 2
References
Liu L, Eisen HJ. Epidemiology of heart failure and scope of the problem. Cardiol Clin. 2014;32(1):1–8.
Nabeebaccus A, Zheng S, Shah AM. Heart failure-potential new targets for therapy. Br Med Bull. 2016;119(1):99–110.
Cook C, Cole G, Asaria P, Jabbour R, Francis DP. The annual global economic burden of heart failure. Int J Cardiol. 2014;171(3):368–76.
Ziaeian B, Fonarow GC. Epidemiology and aetiology of heart failure. Nat Rev Cardiol. 2016;13(6):368–78.
Muiesan ML, Paini A, Agabiti Rosei C, Bertacchini F, Stassaldi D, Salvetti M. Current pharmacological therapies in heart failure patients. High Blood Press Cardiovasc Prev. 2017;24(2):107–14.
Fukushima A, Milner K, Gupta A, Lopaschuk GD. Myocardial energy substrate metabolism in heart failure: from pathways to therapeutic targets. Curr Pharm Des. 2015;21(25):3654–64.
Kaimoto S, Hoshino A, Ariyoshi M, Okawa Y, Tateishi S, Ono K, et al. Activation of PPAR-alpha in the early stage of heart failure maintained myocardial function and energetics in pressure-overload heart failure. Am J Physiol Heart Circ Physiol. 2017;312(2):H305–13.
Randle PJ. Regulatory interactions between lipids and carbohydrates: the glucose fatty acid cycle after 35 years. Diabetes Metab Rev. 1998;14(4):263–83.
Sankaralingam S, Lopaschuk GD. Cardiac energy metabolic alterations in pressure overload-induced left and right heart failure (2013 Grover Conference Series). Pulm Circ. 2015;5(1):15–28.
Taegtmeyer H, Stanley WC. Too much or not enough of a good thing? Cardiac glucolipotoxicity versus lipoprotection. J Mol Cell Cardiol. 2011;50(1):2–5.
De Jong KA, Lopaschuk GD. Complex energy metabolic changes in heart failure with preserved ejection fraction and heart failure with reduced ejection fraction. Can J Cardiol. 2017;33(7):860–71.
Plutzky J. The PPAR-RXR transcriptional complex in the vasculature: energy in the balance. Circ Res. 2011;108(8):1002–16.
Wang J, Shi J, Wei J, Wang J, Gao K, Li X, et al. Safety and efficacy of Qishen granules in patients with chronic heart failure: study protocol for a randomized controlled trial. Trials. 2017;18(1):468.
Li C, Wang Y, Qiu Q, Shi T, Wu Y, Han J, et al. Qishenyiqi protects ligation-induced left ventricular remodeling by attenuating inflammation and fibrosis via STAT3 and NF-kappaB signaling pathway. PLoS ONE. 2014;9(8):e104255.
Chang H, Li C, Wang Q, Lu L, Zhang Q, Zhang Y, et al. QSKL protects against myocardial apoptosis on heart failure via PI3K/Akt-p53 signaling pathway. Sci Rep. 2017;7(1):16986.
Xia K, Wang Q, Li C, Zeng Z, Wang Y, Wang W. Effect of QSKL on MAPK and RhoA pathways in a rat model of heart failure. Evid Based Complement Alternat Med. 2017;2017(8):3903898.
Gao S, Zhang Q, Tian C, Li C, Lin Y, Gao W, et al. The roles of Qishen granules recipes, Qingre Jiedu, Wenyang Yiqi and Huo Xue, in the treatment of heart failure. J Ethnopharmacol. 2020;249:112372.
Lu W, Wang Q, Sun X, He H, Wu Y, Liu Y, et al. Qishen granule improved cardiac remodeling via balancing M1 and M2 macrophages. Front Pharmacol. 2019;10:1399.
Lu LH, Li C, Wang QY, Zhang Q, Zhang Y, Meng H, et al. Cardioprotective effects of Qishen Granule () on sarcoplasmic reticulum Ca(2+) handling in heart failure rats. Chin J integr Med. 2017;23(7):510–7.
Zhang J, Liu J, Gao S, Lin W, Gao P, Gao K, et al. Antiapoptosis and antifibrosis effects of Qishen Granules on heart failure rats via hippo pathway. Biomed Res Int. 2019;2019:1–13.
Franco F, Thomas GD, Giroir B, Bryant D, Bullock MC, Chwialkowski MC, et al. Magnetic resonance imaging and invasive evaluation of development of heart failure in transgenic mice with myocardial expression of tumor necrosis factor-alpha. Circulation. 1999;99(3):448–54.
Riegler J, Cheung KK, Man YF, Cleary JO, Price AN, Lythgoe MF. Comparison of segmentation methods for MRI measurement of cardiac function in rats. J Magn Reson Imaging. 2010;32(4):869–77.
Yan R, Song J, Wu Z, Guo M, Liu J, Li J, et al. Detection of myocardial metabolic abnormalities by 18F-FDG PET/CT and corresponding pathological changes in beagles with local heart irradiation. Korean J Radiol. 2015;16(4):919–28.
Zhou Z, Wei X, Xiang J, Gao J, Wang L, You J, et al. Protection of erythropoietin against ischemic neurovascular unit injuries through the effects of connexin43. Biochem Biophys Res Commun. 2015;458(3):656–62.
Fujitani M, Matsumura S, Masuda D, Yamashita S, Fushiki T, Inoue K. CD36, but not GPR120, is required for efficient fatty acid utilization during endurance exercise. Biosci Biotechnol Biochem. 2014;78(11):1871–8.
Cabon L, Bertaux A, Brunelle-Navas MN, Nemazanyy I, Scourzic L, Delavallee L, et al. AIF loss deregulates hematopoiesis and reveals different adaptive metabolic responses in bone marrow cells and thymocytes. Cell Death Differ. 2018;25(5):983–1001.
Chen MC, Chang JP, Lin YS, Pan KL, Ho WC, Liu WH, et al. Deciphering the gene expression profile of peroxisome proliferator-activated receptor signaling pathway in the left atria of patients with mitral regurgitation. J Transl Med. 2016;14(1):157.
Vancura P, Wolloscheck T, Baba K, Tosini G, Iuvone PM, Spessert R. Circadian and dopaminergic regulation of fatty acid oxidation pathway genes in retina and photoreceptor cells. PLoS ONE. 2016;11(10):e0164665.
Yamane K, Indalao IL, Chida J, Yamamoto Y, Hanawa M, Kido H. Diisopropylamine dichloroacetate, a novel pyruvate dehydrogenase kinase 4 inhibitor, as a potential therapeutic agent for metabolic disorders and multiorgan failure in severe influenza. PLoS ONE. 2014;9(5):e98032.
Porter JD, Merriam AP, Gong B, Kasturi S, Zhou X, Hauser KF, et al. Postnatal suppression of myomesin, muscle creatine kinase and the M-line in rat extraocular muscle. J Exp Biol. 2003;206(Pt 17):3101–12.
Yang Y, Zhang H, Li X, Yang T, Jiang Q. Effects of PPARalpha/PGC-1alpha on the energy metabolism remodeling and apoptosis in the doxorubicin induced mice cardiomyocytes in vitro. Int J Clin Exp Pathol. 2015;8(10):12216–24.
Toda C, Diano S. Mitochondrial UCP2 in the central regulation of metabolism. Best Pract Res Clin Endocrinol Metab. 2014;28(5):757–64.
Saeed M, Liu H, Liang CH, Wilson MW. Magnetic resonance imaging for characterizing myocardial diseases. Int J Cardiovasc Imaging. 2017;33(9):1395–414.
Zizola C, Kennel PJ, Akashi H, Ji R, Castillero E, George I, et al. Activation of PPARdelta signaling improves skeletal muscle oxidative metabolism and endurance function in an animal model of ischemic left ventricular dysfunction. Am J Physiol Heart Circ Physiol. 2015;308(9):H1078–85.
Schroeder F, Atshaves BP, McIntosh AL, Gallegos AM, Storey SM, Parr RD, et al. Sterol carrier protein-2: new roles in regulating lipid rafts and signaling. Biochem Biophys Acta. 2007;1771(6):700–18.
Chen XL, Liu ZR, Xue YJ, Chen X. Dual PPARalpha/gamma ligand TZD18 improves myocardial metabolic remodeling after myocardial infarction in rats. Eur Rev Med Pharmacol Sci. 2017;21(24):5765–73.
Finck BN. The PPAR regulatory system in cardiac physiology and disease. Cardiovasc Res. 2007;73(2):269–77.
Barger PM, Kelly DP. PPAR signaling in the control of cardiac energy metabolism. Trends Cardiovasc Med. 2000;10(6):238–45.
Poulsen L, Siersbaek M, Mandrup S. PPARs: fatty acid sensors controlling metabolism. Semin Cell Dev Biol. 2012;23(6):631–9.
Zhang Q, Shao M, Zhang X, Wang Q, Guo D, Yang X, et al. The effect of chinese medicine on lipid and glucose metabolism in acute myocardial infarction through PPARgamma pathway. Front Pharmacol. 2018;9:1209.
Huang X, Bedoyan JK, Demirbas D, Harris DJ, Miron A, Edelheit S, et al. Succinyl-CoA synthetase (SUCLA2) deficiency in two siblings with impaired activity of other mitochondrial oxidative enzymes in skeletal muscle without mitochondrial DNA depletion. Mol Genet Metab. 2017;120(3):213–22.
Huss JM, Kelly DP. Nuclear receptor signaling and cardiac energetics. Circ Res. 2004;95(6):568–78.
Zeng Z, Wang Q, Yang X, Ren Y, Jiao S, Zhu Q, et al. Qishen granule attenuates cardiac fibrosis by regulating TGF-beta/Smad3 and GSK-3beta pathway. Phytomedicine. 2019;62:152949.
Acknowledgements
The authors wish to thank the Capital Medical University for providing the 7-T magnetic resonance imaging scanner and small animal positron emission tomography/computed tomography system.
Funding
This work was financially supported, in part, by the Grants from the National Natural Science Foundation of China (No. 81903950, 81530100, 81930113 and 81673712), China Postdoctoral Science Foundation (2018M641285), Young Teachers Fund of Beijing University of Chinese Medicine (2019-JYB-JS-095).
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Each author has contributed significantly to this study. WW, YW and JML conceived and designed the study, KG, JZ and PRG performed the animal and molecular biology experiments. JZ and JJL performed the cine MRI experiments. YL, YL, YLZ performed the statistical analyses. HC and PR revised the paper. KG, JZ and QYW drafted the manuscript. YW, JML and WW revised the manuscript. All authors read and approved the final manuscript.
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Gao, K., Zhang, J., Gao, P. et al. Qishen granules exerts cardioprotective effects on rats with heart failure via regulating fatty acid and glucose metabolism. Chin Med 15, 21 (2020). https://doi.org/10.1186/s13020-020-0299-9
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DOI: https://doi.org/10.1186/s13020-020-0299-9