OBJECTIVE:To investigate the clinical efficacy and safety of alprostadil in the treatment of heart failure in pa-tients with normal left ventricular ejection fraction (LVEF). METHODS:120 patients diagnosed as heart farlture with normal LVEF were divided into observation group and control group by radom number table method,with 60 cases in each group. Control group was given symptomatic treatment;observation group was additionally treated with Alprostadil dried emulsion for injection 10μg,bid,on the basis of control group. Both groups received treatment for 5 d. The cardiac function indexes,serum inflammatory factors and oxidative stress indexes were observed in 2 groups before and after treatment,and the occurrence of ADR was com-pared between 2 groups. RESULTS:Before treatment,there was no statistical significance in cardiac function indexes,serum in-flammatory factors and oxidative stress indexes between 2 groups (P>0.05). After treatment,above indexes of 2 groups were all improved significantly,and the observation group was significantly better than the control group,with statistical significance(P<0.05). No obvious ADR was found in 2 groups. CONCLUSIONS:Alprostadil can improve cardiac function of patients with heart failure of normal LVEF,improve serum inflammatory factors and oxidative stress level with good safety.

Objective:To investigate the protective effect of pine pollen on lipopolysaccharide (LPS)-induced learning and memory impairments in mice and the underlying mechanism.Methods:Sixty mice were randomly divided into four groups ( n = 15/group): normal control, model, low-dose pine pollen (500 mg/kg) and high-dose pine pollen (1 000 mg/kg). Mouse models of learning and memory impairment were established by lateral ventricle injection of LPS. The learning and memory abilities of mice were determined by the Morris water maze test. Superoxide dismutase (SOD) activity and glutathione (GSH) and malondialdehyde (MDA) levels in the hippocampus of mice were measured. Interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), dopamine (DA), and norepinephrine (NE) levels in the hippocampus were also determined. Results:The latency in the passive avoidance test in the model group was significantly shorter than that in the normal control group [(134.80 ± 33.89) s vs. (282.20 ± 17.43) s, t = 4.23, P < 0.01]. The number of errors in the model group was significantly higher than that in the normal control group [(4.00 ± 1.58) vs. (1.20 ± 1.30) times, t = 2.85, P < 0.01]. The latency in the passive avoidance test in the low-dose pine pollen (500 mg/kg) and high-dose pine pollen (1000 mg/kg) groups was significantly longer than that in the normal control group [(189.40 ± 27.21) s or (213.40 ± 21.26) s vs. (134.80 ± 33.89) s, t = 3.21, 4.38, all P < 0.05]. The number of errors in the low-dose pine pollen (500 mg/kg) and high-dose pine pollen (1 000 mg/kg) groups was significantly lower than that in the normal control group [(1.60 ± 1.44) times or (1.40 ± 1.44) times vs. (4.00 ± 1.58) times, t = 5.12, 6.42, both P < 0.05]. SOD activity and GSH, DA and NE levels in the hippocampus in the model group were significantly decreased compared with the normal control group [SOD: (7.59 ± 1.77) kU/g vs. (39.90 ± 6.37) kU/g; GSH: (3.49 ± 0.13) mmol/g vs. (6.37 ± 0.14) mmol/g; DA: (418.42 ± 2.57) ng/L vs. (586.37 ± 3.64) ng/L; NE: (187.20 ± 5.41) ng/L vs. (298.42 ± 2.32) ng/L, t = 3.67, 8.23, 2.23, 3.65, all P < 0.05]. MDA, IL-6 and TNF-α levels in the hippocampus in the normal control group were significantly higher than those in the model group [MDA: (8.79 ± 0.82) mmol/g vs. (2.62 ± 0.16) mmol/g, IL-6: (48.07 ± 5.56) ng/L vs. (18.76 ± 1.42) ng/L, TNF-α: (87.20 ± 4.31) ng/L vs. (22.42 ± 3.39) ng/L, t = 7.45, 2.67, 4.35, P < 0.05 or P < 0.01]. SOD activity, GSH, DA and NE levels in the hippocampus in the low-dose pine pollen (500 mg/kg) and high-dose pine pollen (1 000 mg/kg) groups were significantly higher than those in the model group [SOD: (18.80 ± 2.39) kU/g, (28.70 ± 2.36) kU/g vs. (7.59 ± 1.77) kU/g, GSH: (5.04 ± 0.36) mmol/g, (5.45 ± 0.17) mmol/g vs. (3.49 ± 0.13) mmol/g, DA: (488.37 ± 3.46) ng/L, (506.29 ± 5.72) ng/L vs. (418.42 ± 2.57) ng/L, NE: (225.65 ± 3.72) ng/L, (239.76 ± 5.58) ng/L vs. (187.20 ± 5.41) ng/L, t = 4.56 or 6.71, t = 4.65 or 5.32, t = 4.73 or 6.72, t = 3.84 or 5.63, P < 0.05 or P < 0.01]. MDA, IL-6 and TNF-α levels in the hippocampus in the low-dose pine pollen (500 mg/kg) and high-dose pine pollen (1 000 mg/kg) groups were significantly lower than those in the model group [MDA: (5.72 ± 0.47) mmol/g, (3.77 ± 0.23) mmol /g vs. (8.79 ± 0.82) mmol/g, IL-6: (28.42 ± 3.54) ng/L, (23.43 ± 5.62) ng/L vs. (48.07 ± 5.56) ng/L, TNF-α: (48.87 ± 4.82) ng/L, (39.65 ± 6.69) ng/L vs. (87.20 ± 4.31) ng/L, t = 6.31 or 7.28, t = 3.46 or 6.31, t = 4.28 or 3.57, P < 0.05 or P < 0.01]. Conclusion:Pine pollen can improve LPS-induced learning and memory impairments possibly through up-regulating the levels of monoamine neurotransmitters DA and NE and inhibiting the levels of oxidative stress and inflammatory reaction in the hippocampus of mice.

Although international researches into the hemodynamics of type B aortic dissection are well under way now, the difficulty in harvesting the aortic dissection flap is keeping us away from its changes of mechanical properties during the course of disease. This article reviews the studies on the relationships between the mechanical properties of type B aortic dissection and its development. And the changes of biomechanics of the intimal flap and its effect on the hemodynamics, the wall stress and the timing choosing of the operation are emphasized, in order to help us to predict the clinical disease of patients and study more about the hemodynamics of chronic dissection model of biomaterial in vitro in near future

Vascular complications are commonly associated with COVID-19 infection. Increasing reports suggest a close relationship between COVID-19 and venous thromboembolic diseases, including deep vein thrombosis and pulmonary embolism. Furthermore, COVID-19 has been linked to various aortic diseases such as aortic valve stenosis, aortic thrombosis, abdominal aortic aneurysm, aortic dissection, and limb ischemia. Consequently, understanding the causes and treatment of these vascular complications has become a critical aspect of comprehensive COVID-19 management. This article provides a review of aortic diseases and venous thromboembolic diseases that may be associated with COVID-19, aiming to explore potential mechanisms underlying the development of these vascular conditions and discuss strategies for preventing thrombosis in COVID-19 patients.

Vascular complications are commonly associated with COVID-19 infection. Increasing reports suggest a close relationship between COVID-19 and venous thromboembolic diseases, including deep vein thrombosis and pulmonary embolism. Furthermore, COVID-19 has been linked to various aortic diseases such as aortic valve stenosis, aortic thrombosis, abdominal aortic aneurysm, aortic dissection, and limb ischemia. Consequently, understanding the causes and treatment of these vascular complications has become a critical aspect of comprehensive COVID-19 management. This article provides a review of aortic diseases and venous thromboembolic diseases that may be associated with COVID-19, aiming to explore potential mechanisms underlying the development of these vascular conditions and discuss strategies for preventing thrombosis in COVID-19 patients.

By applying "homeostasis" to the study of the meridian and collateral system， the concept of meridian and collateral homeostasis has been proposed which refers to a balanced and stable state of meridian and collateral system， and plays an important role in maintaining body health and can provide a reference for the diagnosis and treatment of diseases. Phenomics realizes the cross-scale correlation from micro-phenotypic data， such as genome， proteome， and metabolome， to macro-phenotypic data， such as physiological state， behavioral activities， and external manifestations. From the perspective of phenomics， this paper proposes a meridian and collateral homeostasis dynamic mapping model of "macroscopic signs and microscopic expression". This model combines macro signs such as the four examinations of traditional Chinese medicine （TCM）， biophysical indicators of acupoints， and micro expression information such as genes， proteins， and metabolism， and systematically investigates the relationship between meridian and collateral homeostasis and health and disease， thereby providing ideas and references for the identification of pre-disease states as well as precise diagnosis and treatment in TCM.

【Objective 】 To explore the influencing factors of Yang deficiency constitution in traditional Chinese medicine (TCM) from the perspective of mathematics with the use of calculation formulas, so as to protect patients from getting diseases caused by Yang deficiency constitution and provide suggestions for TCM disease prevention. 【Methods】  Based on the classification and determination criteria of TCM constitution implemented by China Association of Chinese Medicine, data for 24 solar terms from May 5, 2020(Start of Summer) to April 20, 2021 (Grain Rain) for the identification of Yang deficiency were collected by mobile constitution identification system. The grey correlation analysis method was used to determine the grey correlation degree of the factors influencing Yang deficiency constitution. In addition, a random forest model was constructed for the verification of the results from the grey correlation analysis, and for the evaluation of correlation degree between Yang deficiency constitution and its influencing factors. 【Results】  A total of 16 259 sets of data were collected from healthy or sub-healthy individuals aged from 18 to 60 years living in the central and northeastern parts of Sichuan Province(China) for the identification of TCM constitutions. After screening and preprocessing, a total of 544 sets of data for the identification of Yang deficiency constitution, involving 18 aspects of factors influencing Yang deficiency constitution. The results of the grey correlation analysis showed that there were 12 influencing factors whose grey correlation degree with Yang deficiency constitution was greater than 0.6. The accuracy of these 12 influencing factors with the training set and validation set of the Yang deficiency constitution random forest model were 98.39% and 93.12%, respectively. 【Conclusion】  In the sample data selected in this paper, grey correlation analysis is the appropriate technology to analyze the influencing factors of Yang deficiency constitution. It provides a new idea and a new methodological reference for the research and analysis of the influencing factors of TCM constitution.