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Hypertension is one of the most reported cardiovascular and cerebrovascular diseases with significantly high morbidity and mortality rates. This condition threatens the very existence of human beings. Numerous studies conducted earlier revealed the good therapeutic effect of isorhynchophylline on hypertension since the former regulates the metabolic disorders in neurotransmitters. However, the mechanism behind this action is yet to be deciphered. The current study followed the targeted metabolomics method to investigate the changes in the neurotransmitter level in the hippocampus of spontaneously hypertensive rats (SHRs) after the rats were treated with isorhynchophylline. The authors predicted the metabolic pathways involved in extensively modified neurotransmitters. Further, the expressions of metabolism-key enzymes in mRNA and protein levels were also determined. When treated with isorhynchophylline, it induced notably varying metabolomic profiles of the hippocampus in SHRs. Isorhynchophylline perturbed a total of seven extensively modified neurotransmitters as well as the primarily related pathways such as tyrosine and glutamate metabolism. An increase in the key metabolic enzymes such as DDC, MAO, COMT, TH, and DβH was observed in the SHR group, whereas their levels decreased after treatment with isorhynchophylline. The expression of GAD67 established cross-current validity. So, isorhynchophylline has been proved to have potential therapeutic value to treat hypertension via tyrosine and glutamate metabolism in the hippocampus. Further, the current study also opened new ventures to further investigate the working mechanism of isorhynchophylline in hypertension.

In this study, patients with prehypertensive liver-fire hyperactivity syndrome(LFHS) were selected as the research objects. The plasma samples of healthy volunteers and patients with prehypertensive LFHS were analyzed by non-targeted metabolomics based on UPLC-Q-Exactive MS. The differential biomarkers and metabolic pathways were screened out by multivariate statistics and metabolic pathway analysis, which revealed the characteristics of metabolic patterns of the syndrome. Thirty-three potential biomarkers such as androsterone and lysophosphatidylcholine and 16 related metabolic pathways such as steroid hormone metabolism and lipid metabolism were identified, and a partial least squares-discriminant analysis(PLS-DA) model of traditional Chinese medicine(TCM) syndromes was preliminarily constructed: Y =-0.070X_(13)-0.006X_8+ 0.040X_5-0.152X_1+0.131X_(10)+0.036X_(11)+0.043X_(23)+0.076X_(16)+0.132X_(20)+0.081X_(19)-0.101X_(31)+0.082X_(15)-0.038X_9+0.079X_(24). The predictive value of the model was 88.1%, and the explanatory power was 88.4%. In this study, the characteristic metabolic pattern of the prehypertensive LFHS was distinguished and revealed by metabolomics. The constructed PLS-DA model is expected to provide an objective basis for the identification of TCM syndromes in prehypertension, and inspiration for exploring the biological basis of TCM syndromes at small-molecular and overall levels.

Objective: To realize quadratic formula optimization of Renshen Jianxin Capsule (RJC) by screening Chinese herbs with major anti-myocardial ischemia effect in RJC and optimize their optimal dosages., Methods: By following "uniform design-pharmacodynamic experiment-mathematical modeling-formula optimization", authors employed U10(10(8)) uniform design in the experiment. Eight Chinese herbs contained in RJC were taken as observatory factors. Electrocardiograph (ECG) changes of myocardial ischemia induced by isoproterenol were taken as pharmacodynamic indices. The mathematical model between herbal factors and pharmacodynamic indices was established using stepwise regression analysis to screen Chinese herbs with major anti-myocardial ischemia effect. Their optimal dosages were optimized using the grid algorithm., Results: The regression equation was y =1. 7889 -0. 3247 Ginseng xSalvia Miltiorrhiza -0. 0663 Astragalus membranaceus xOriental Waterplantain tuber. Forecasting factors included were Ginseng, Salvia Miltiorrhiza, Astragalus membranaceus, and Oriental Waterplantain tuber. The optimal formula dosage calculated by the grid algorithm was Ginseng 1. 62 g, Astragalus membranaceus 4. 62 g, Salvia Miltiorrhiza 2. 43 g, and Oriental Waterplantain tuber 1. 66 g., Conclusion: Uniform design combined with stepwise regression analysis and grid algorithm were able to realize quadratic formula optimization of RJC.

High performance liquid chromatography-time-off-flight mass spectrometer (HPLC-TOFMS) technology coupled with partial least squares discriminant analysis (PLS-DA) processed by SIMCA-P software was applied to investigate serum endogenous metabolites alternations of valsartan in spontaneous hypertension rats (SHR). And MetPA platform was used to connect identified potential biomarkers in corresponding metabolic pathways to find possible therapeutic mechanism of valsartan. Valsartan significantly declined the blood pressure of SHRs (P < 0.05) at fourth week. The metabolic profiling significantly changed and four metabolites involved in G protein-coupled pathway were identified. Metabolomics is able to detect holistic and microcosmic alternations in organism, so as to elucidate therapeutic mechanism of drugs.

Endothelial dysfunction and low-grade inflammation are closely associated with hypertension and other cardiovascular diseases. The combination of Uncaria (U) and Semen Raphani (R) is common in traditional Chinese medicine for the treatment of hypertension and heart diseases. We aimed to investigate the therapeutic effect of the combination of Uncaria and Semen Raphani on spontaneously hypertensive rats (SHRs), and valsartan was used as a positive control. In the present study, all extracts decreased systolic pressure, diastolic pressure, and mean arterial pressure. U alone showed antihypertensive efficacy and effectively decreased CECs count, while R alone showed efficacy in relieving inflammatory level. The combination of U and R showed enhanced effectiveness at lowering activated CECs and improving endothelial integrity of thoracic aorta and mesenteric artery and normalized the level of plasma biomarkers of endothelial damage. The combination of U and R decreased the mRNA level of VCAM-1, Sel-L, TFPI, and Sel-P, while it elevated mRNA expression of FGF-1 and THBD of the thoracic aorta, which may be, at least in part, involved in the mechanism of protective effect on hypertensive endothelial injury.

Thirty SHRs were obtained randomly to hypertension, model group, captopril group and Qingre jiangya capsule group. Ten Wistar rats were used as control group. The hippocampus tissue was removed to explore the damage of spontaneously hypertensive rats (SHR) and the protective effect of Qingre jiangya capsule after continuously administered for 14 days. And then the data were processed by principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). The research results revealed captopril group was significantly different from the other three groups. The classification of other three groups is also very clear after captopril group removed. This suggested that Qingre jiangya capsule could improve the overall metabolism compared with captopril. Four metabolites were identified: dimethylglycine, glycerophosphocholine, aldosterone and noradrenaline. Hypertension hippocampus damage may mainly be expressed in tyrosine metabolism, aldosterone-regulated sodium, vascular smooth muscle contraction reabsorption, and Qingre jiangya capsule could reverse the hippocampus tissue damage of SHR.

Objective: To study the changes of urine metabolites in hypertension patients of ascendant hyperactivity of Gan yang syndrome (AHGYS), and to explore its essence in hypertension patients., Methods: Ten typical hypertension patients of AHGYS were recruited as the patient group, and the other twelve healthy volunteers were recruited as the normal group. The metabolite profiling in the urine were collected using by high performance liquid chromatography coupled with time of flight mass spectrometry (HPLC-TOFMS). The principal component analysis (PCA) and partial least-square discriminant analysis (PLS-DA) were analyzed using SIMCA-P Software. The differential metabolites in the urine were found out and identified. The possible relevant metabolic pathways were explained., Results: The data from the analysis by PCA in the urine samples of the patient group and the normal group showed, two sets of data could be obviously classified in the score plot. Compared with the normal group, significant changes happened to the body metabolism in the patient group. The metabolites relevant to hypertension patients of AHGYS were determined using the PLS-DA. Fifteen compounds of the structure and metabolic pathways had been confirmed through inquiring KEGG Database, mainly including amino acids, free fatty acids, sphingosine, and so on., Conclusions: The hypertension patients of AHGYS were studied using HPLC-TOFMS combined with pattern recognition, thus finding out small molecular metabolic markers from the microscopic field, which was advantageous in probing the biological nature of Chinese medicine syndromes.