OBJECTIVE: To assess the efficacy of Qingda Granule (QDG) in ameliorating hypertension-induced cardiac damage and investigate the underlying mechanisms involved. METHODS: Twenty spontaneously hypertensive rats (SHRs) were used to develope a hypertension-induced cardiac damage model. Another 10 Wistar Kyoto (WKY) rats were used as normotension group. Rats were administrated intragastrically QDG [0.9 g/(kg•d)] or an equivalent volume of pure water for 8 weeks. Blood pressure, histopathological changes, cardiac function, levels of oxidative stress and inflammatory response markers were measured. Furthermore, to gain insights into the potential mechanisms underlying the protective effects of QDG against hypertension-induced cardiac injury, a network pharmacology study was conducted. Predicted results were validated by Western blot, radioimmunoassay immunohistochemistry and quantitative polymerase chain reaction, respectively. RESULTS: The administration of QDG resulted in a significant decrease in blood pressure levels in SHRs (P<0.01). Histological examinations, including hematoxylin-eosin staining and Masson trichrome staining revealed that QDG effectively attenuated hypertension-induced cardiac damage. Furthermore, echocardiography demonstrated that QDG improved hypertension-associated cardiac dysfunction. Enzyme-linked immunosorbent assay and colorimetric method indicated that QDG significantly reduced oxidative stress and inflammatory response levels in both myocardial tissue and serum (P<0.01). CONCLUSIONS Both network pharmacology and experimental investigations confirmed that QDG exerted its beneficial effects in decreasing hypertension-induced cardiac damage by regulating the angiotensin converting enzyme (ACE)/angiotensin II (Ang II)/Ang II receptor type 1 axis and ACE/Ang II/Ang II receptor type 2 axis.
Animals ; Drugs, Chinese Herbal/therapeutic use* ; Hypertension/pathology* ; Renin-Angiotensin System/drug effects* ; Rats, Inbred SHR ; Oxidative Stress/drug effects* ; Male ; Rats, Inbred WKY ; Blood Pressure/drug effects* ; Myocardium/pathology* ; Rats ; Inflammation/pathology*

Objective:To investigate the use of apolipoprotein B (ApoB) diagnostic algorithm for hyperlipidemia typing combined with whole exome sequencing in the precise diagnosis of familial hyperlipidemia.Methods:A retrospective observational study was conducted by collecting clinical information on all patients who attended our hospital, and had their lipid levels tested from January 2023 to May 2024, including 440 patients with low-density lipoprotein cholesterol (LDL-C)>4.10 mmol/L. Family history, current lipid levels, medication use, and comorbidities were collected by telephone follow-ups. Among them, 10 patients had a family history of hyperlipidemia. Peripheral venous blood samples were collected from patients with a family history of hyperlipidemia, and whole exome sequencing was performed.Results:According to the Fredrickson typing of WHO, 10 patients (P1 to P10) could be categorized into two groups, of which only type Ⅱa could be excluded in 6 cases, and the typing could not be determined in 4 cases. The ApoB diagnostic algorithm of hyperlipidemia typing could classify patients P1 and P2 as type Ⅱa, patients P3 to P7, P9 and P10 as type Ⅱb, and patient P8 as type Ⅴ, respectively. Whole exome sequencing detected mutations in LDLR, PCSK9, C5AR2, KIF12, ALMS1, ABCG5, COL4A3, and MTTP genes.Conclusion:The ApoB diagnostic algorithm for hyperlipidemia can be used for accurate typing of hyperlipidemia, and ApoB could be recommended as a routine lipid testing parameter. The ApoB diagnostic algorithm for hyperlipidemia combined with whole exome sequencing could be used for the accurate typing of patients with familial hyperlipidemia and defining the underlying gene mutations.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

As a new generation of time-of-flight mass spectrometry,multiple-reflection time-of-flight mass spectrometry(MR-TOF-MS)has been increasingly applied in the fields such as nuclear physics,chemistry,and biology due to its ultra-high resolution and rapid analysis capabilities.However,the analytical performance of MR-TOF-MS largely depends on the ion bunch state entering the mass analyzer.In this study,a rectangular ion trap(RIT)was developed,designed and processed using printed circuit board technology,as an ion accumulating and focusing device for MR-TOF mass analyzer.Compared to traditional ion traps composed of two sets of planar electrodes,this RIT had higher voltage utilization efficiency,resulting in more efficient ion collection and focusing.The ions were cooled to a sufficiently small bunch for precise mass measurement with MR-TOF-MS mass spectrometry in only 1 ms of cooling time in the RIT,then orthogonally ejected to the MR-TOF mass spectrometer for mass analysis.Experimental results indicated that the working cycle,ion flux,and ion focusing state of the RIT fully met the requirements of the MR-TOF mass analyzer.When coupled with the MR-TOF mass analyzer,the RIT enabled MR-TOF-MS to achieve a mass resolution of 1.5×105.

Detection of poor-water-soluble substances typically requires an organic solvent containing solution,and therefore,the biosensors that can operate in such conditions are highly promising for practical applications.However,most existing biosensors have been developed in aqueous solution and it is hard to work effectively in organic solvent systems.In this work,we uncovered that the G-quadruplex(G4)/hemin DNAzyme(G4HD)could be strongly reactivated by NH4 in organic solvents at concentration up to 30％,and the activity was significantly higher than that in aqueous solutions containing K+.Based on this discovery,a biosensing system was developed for small molecule in 40％methanol by coupling G4HD with our previously identified RNA-cleaving DNAzyme(E3).This system comprised an ATP-activated aptazyme that was made of E3 and a G4HD that was activated by the cleavage product of the aptazyme.By using a manmade pipette tip filter to separate the reaction products,the subsequent colorimetric reaction of the G4HD could be triggered.This biosensing system enabled the visualization of target molecules in organic cosolvents without any other instruments.The activable DNAzyme-cascade sensing system had potential in point-of-care detection of poor-water-soluble pollutants,thereby enhancing the practical values of functional nucleic acid-based biosensors in real-world detection conditions.

Objective The molding process of compound Shexiang Huangqi dropping pills was optimized by central composite design and response surface method,the determination of volatile components in the compound by gas chromatography was established in order to improve the quality standard of the compound.Methods Single factor method was used to select the optimum range of matrix type,the ratio of matrix to liquid,and drop distance of compound Shexiang Huangqi dropping pills;Appearance traits,a difference of pill weight,and dissolution time were used as evaluation indexes,the optimum forming process conditions of compound Shexiang Huangqi dropping pills were optimized by central composite design and response surface method;Three batches of compound Shexiang Huangqi dropping pills were taken as test samples and determined by gas chromatography;The gas chromatographic column was HP-5 sillica capillary column,the inlet temperature was 260 ℃,the temperature was programmed,and the detector temperature was 300 ℃,the split ratio was 10∶1,nitrogen was selected as the carrier gas with a flow rate of 1.0 mL·min-1.Results The optimum forming process conditions of compound Shexiang Huangqi dropping pills were selected by central composite design and response surface method as a matrix:matrix=0.99,drug:matrix=0.55,drop distance=6.00,and the comprehensive score were 0.845 2.Under these conditions,the quality of the prepared dropping pills was the best;The chromatographic peaks of borneol,muscone,and ligustilide reached the baseline separation;the linear ranges of the three components were 0.327-1.962,0.140-0.840,0.710 5-4.263 μg(all r＞0.999);The average recoveries were 92.30％(RSD=1.65％,n=6),101.28％(RSD=0.81％,n=6)and 98.99％(RSD=0.65％,n=6);The average contents of the three components were 0.201 7,0.084 7 and 1.382 9 mg·g-1,respectively.Conclusions The forming process is stable and feasible,which can provide a reference for the development and application of compound Shexiang Huangqi dropping pills;The gas chromatography method established can simultaneously determine the contents of borneol,muscone,and ligustilide in compound Shexiang Huangqi dropping pills,which can be used for quality control of compound Shexiang Huangqi dropping pills.

Stent entrapment is a rare complication of percutaneous coronary intervention.In recent years,with the development of distal radial artery puncture technology,the rare complications related to distal radial artery have been gradually understood.This article describes a patient who underwent coronary intervention through a distal radial approach,and the stent was dislodged and trapped in the far radial artery.The patient came to our hospital for stent implantation because of acute extensive anterolateral myocardial infarction.During the intervention,the balloon could not be filled when the stent was released from the left anterior descending artery,and the retracting stent could not be used to remove the guide catheter.The stent was dislodged and embedded in the distal vessel.The sheath was inserted through the proximal radial reverse puncture,and the stent was captured with a snare and removed.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Stent entrapment is a rare complication of percutaneous coronary intervention.In recent years,with the development of distal radial artery puncture technology,the rare complications related to distal radial artery have been gradually understood.This article describes a patient who underwent coronary intervention through a distal radial approach,and the stent was dislodged and trapped in the far radial artery.The patient came to our hospital for stent implantation because of acute extensive anterolateral myocardial infarction.During the intervention,the balloon could not be filled when the stent was released from the left anterior descending artery,and the retracting stent could not be used to remove the guide catheter.The stent was dislodged and embedded in the distal vessel.The sheath was inserted through the proximal radial reverse puncture,and the stent was captured with a snare and removed.