1.Effect of safflower yellow injection on the pharmacokinetics and anticoagulation of aspirin
Dandan SHEN ; Zhonghui YANG ; Ji HUANG ; Yingfei OU ; Yunlong SHAN
Journal of China Pharmaceutical University 2024;55(6):795-800
This article explores the interaction between aspirin and safflower yellow injection from the perspective of pharmacokinetics, combined with pharmacological indicators such as anticoagulation. Quantitative HPLC analysis was performed for the detection of salicylic acid in plasma samples, and the pharmacokinetic effects of aspirin in combination with safflower yellow injection on aspirin’s hydrolyzed product salicylic acid was evaluated. Thromboxane B2 (TXB2) and 6-keto prostaglandin F1 in plasma were determined using enzyme-linked immunosorbent assay and fully automated biochemical analyzer α (6-keto-PGF1) α), and the levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), blood urea nitrogen (BUN), and serum creatinine (Scr) were tested to evaluate the anticoagulant effect and safety indicators after long-term combined use of the two drugs, including liver and kidney function and cardiac pathological examination. The results showed that, compared with the aspirin group, there was no significant difference (P>0.05) in the plasma pharmacokinetic parameters of rats with combined use of safflower yellow injection. In addition, the plasma TXB2 in the combination group was significantly reduced compared to the aspirin group (P<0.01), yet with no significant difference for 6-keto-PGF1 α (P>0.05). There was no statistically significant difference in the levels of serum BUN, Scr, AST, and ALT between the two groups before and after treatment (P>0.05). These results suggest that the combination of aspirin and safflower yellow injection does not cause significant change in the blood concentration of salicylic acid. It does not affect the antiplatelet effect of aspirin.
2.ANGPTL8 knockout reduces lipopolysaccharide-induced hepatic lipid deposition
Shan LUO ; Ying FENG ; Dandan FAN ; Wenxin ZHENG ; Xingrong GUO ; Xuzhi RUAN
The Journal of Practical Medicine 2024;40(9):1197-1203
Objective To study the influence of ANGPTL8 in lipopolysaccharide(LPS)-induced hepatic lipid deposition.Methods Male wild-type(WT)and ANGPTL8 knockout mice at 6-8 weeks were used to induce sepsis models by intrabitoneal injection of LPS(10 mg/kg).qPCR and immunofluorescence were used to detected the mRNA and protein expression of ANGPTL8 in liver tissue and HepG2 cells respectively;The contents of alanine aminotransferase(ALT),aspartate aminotransferase(AST)in serum and the triglyceride(TG)and malondialdehyde(MDA)in liver homogenate were detected by kits;the histopathological changes of liver tissue were analyzed through HE staining.Lipids accumulation in liver were detected by oil red O staining.The apoptosis of liver was determinated by TUNEL staining.RNA-seq was used to analyzing the differentially expressed genes in the liver tissue of WT and ANGPTL8 KO mice,and the qPCR and Western Blot were used to verify the differential expressed genes.Results The expression of ANGPTL8 in the liver was significantly upregulated at 48 hours after LPS stimulation.Compared with WT mice,the hepatic lipid deposition,steatosis,and apoptosis were significantly alleviated in liver of ANGPTL8 KO mice,the ALT and AST levels in serum and the TG and MDA content in liver homogenate of ANGPTL8 KO mice were also reduced significantly.The expression of caveolin-1(CAV1)in liver of ANGPTL8 KO mice was significantly higher than that of WT mice.Conclusions LPS promoted the expression and secretion of ANGPTL8 in liver tissue,and ANGPTL8 increased hepatic lipid deposition and peroxidation by inhibiting the expression of CAV1.
3.Protective effect of Qideng Mingmu capsule on retinal vessels in mice with oxygen-induced retinopathy
Chunmeng LIU ; Shan DING ; Xuewen DONG ; Dandan ZHAO ; Siyuan PU ; Li PEI ; Fuwen ZHANG
Chinese Journal of Experimental Ophthalmology 2024;42(5):428-435
Objective:To investigate the effect of Qideng Mingmu capsule on the formation and remodeling of retinal neovascularization in mice with oxygen-induced retinopathy (OIR).Methods:Thirty-six postnatal day 7 (P7)SPF grade C57BL/6J pups were divided into normal group, OIR group, Qideng Mingmu capsule group and apatinib group by random number table method, with 9 mice in each group.The mice in the normal group were raised in normal environment.The mice in the other three groups were fed in hyperoxic environment of (75±2)% oxygen concentration for 5 days from P7 to P12 and then were fed in normal environment for 5 days from P12 to P17 to establish the OIR model.From P12, mice in Qideng Mingmu capsule group and apatinib group were given intragastric administration of Qideng Mingmu capsule (900 mg/kg) and vascular endothelial growth factor receptor 2 inhibitor apatinib (70 mg/kg) respectively, once a day for 5 consecutive days.On P17, paraffin sections of mouse eyeballs were made and stained with hematoxylin-eosin to count the number of vascular endothelial cells that broke through the internal limiting membrane.The retinal slices were prepared and stained with FITC-dextran to quantify the retinal non-perfusion area, neovascularization density and total vascular density.The distribution and fluorescence intensity of retinal vascular endothelial cell marker CD31 and pericyte marker α-smooth muscle actin (α-SMA) were observed by double immunofluorescence staining.Immunohistochemical staining was used to detect the expression and distribution of retinal hypoxia inducible factor-1α (HIF-1α) and vascular endothelial cadherin (VE-cadherin).The use and care of animals were in accordance with the Regulations on the Management of Laboratory Animals issued by the Ministry of Science and Technology.This study was approved by the Animal Ethics Committee of Chengdu University of Traditional Chinese Medicine (No.2019-30).Results:The number of vascular endothelial cells breaking through the internal limiting membrane in normal group, OIR group, Qideng Mingmu capsule group and apatinib group were (2.83±4.40), (37.33±5.43), (23.83±6.79) and (14.00±9.34), respectively, with a statistically significant overall difference ( F=28.313, P<0.001).There were more vascular endothelial cells breaking through internal limiting membrane in OIR group than in normal group, Qideng Mingmu capsule group and apatinib group, showing statistically significant differences (all at P<0.05).In the observation of mouse retinal slices, there were large non-perfusion areas, neovascularization buds and disordered distribution of blood vessels in OIR group.The distribution of blood vessels was more uniform and the areas of non-perfusion and neovascularization were smaller in Qideng Mingmu capsule group and apatinib group than in OIR group.The relative area of central retinal non-perfusion area and neovascularization density were significantly lower in normal group, Qideng Mingmu capsule group and apatinib group than in OIR group (all at P<0.05).The immunofluorescence intensity of CD31 and the absorbance value of HIF-1α were significantly lower, and the immunofluorescence intensity of α-SMA and the absorbance value of VE-cadherin were significantly higher in normal group, Qideng Mingmu capsule group and apatinib group than in OIR group (all at P<0.05). Conclusions:Qideng Mingmu capsule can inhibit retinal neovascularization formation, increase vascular pericyte coverage, relieve retinal hypoxia and increase vascular integrity in OIR mice.It can protect the retinal vessels of OIR mice.
4.Role of high-frequency ultrasound in differentiating benign and malignant skin lesions: potential and limitations
Qiao WANG ; Weiwei REN ; Lifan WANG ; Xiaolong LI ; Anqi ZHU ; Dandan SHAN ; Jing WANG ; Yujing ZHAO ; Danhua LI ; Tian Tian REN ; Lehang GUO ; Huixiong XU ; Liping SUN
Ultrasonography 2024;43(4):237-249
Purpose:
This study examined the diagnostic value of high-frequency ultrasound (HFUS) features in differentiating between benign and malignant skin lesions.
Methods:
A total of 1,392 patients with 1,422 skin lesions who underwent HFUS examinations were included in an initial dataset (cohort 1) to identify features indicative of malignancy. Qualitative clinical and HFUS characteristics were recorded for all lesions. To determine which HFUS and clinical features were suggestive of malignancy, univariable and multivariable logistic regression analyses were employed. The diagnostic performance of HFUS features combined with clinical information was evaluated. This assessment was validated using internal data (cohort 2) and multicenter external data (cohort 3).
Results:
Features significantly associated with malignancy included age above 60 years; lesion location in the head, face, and neck or genital regions; changes in macroscopic appearance; crawling or irregular growth pattern; convex or irregular base; punctate hyperechogenicity; blood flow signals; and feeding arteries. The area under the receiver operating characteristic curve, sensitivity, and specificity of HFUS features combined with clinical information were 0.946, 92.5%, and 86.9% in cohort 1; 0.870, 93.1%, and 80.8% in cohort 2 (610 lesions); and 0.864, 86.2%, and 86.6% in cohort 3 (170 lesions), respectively. However, HFUS is not suitable for evaluating lesions less than 0.1 mm in thickness or lesions exhibiting surface hyperkeratosis.
Conclusion
In a clinical setting, the integration of HFUS with clinical information exhibited good diagnostic performance in differentiating malignant and benign skin lesions. However, its utility was limited in evaluating extremely thin lesions and those exhibiting hyperkeratosis.
5.Role of high-frequency ultrasound in differentiating benign and malignant skin lesions: potential and limitations
Qiao WANG ; Weiwei REN ; Lifan WANG ; Xiaolong LI ; Anqi ZHU ; Dandan SHAN ; Jing WANG ; Yujing ZHAO ; Danhua LI ; Tian Tian REN ; Lehang GUO ; Huixiong XU ; Liping SUN
Ultrasonography 2024;43(4):237-249
Purpose:
This study examined the diagnostic value of high-frequency ultrasound (HFUS) features in differentiating between benign and malignant skin lesions.
Methods:
A total of 1,392 patients with 1,422 skin lesions who underwent HFUS examinations were included in an initial dataset (cohort 1) to identify features indicative of malignancy. Qualitative clinical and HFUS characteristics were recorded for all lesions. To determine which HFUS and clinical features were suggestive of malignancy, univariable and multivariable logistic regression analyses were employed. The diagnostic performance of HFUS features combined with clinical information was evaluated. This assessment was validated using internal data (cohort 2) and multicenter external data (cohort 3).
Results:
Features significantly associated with malignancy included age above 60 years; lesion location in the head, face, and neck or genital regions; changes in macroscopic appearance; crawling or irregular growth pattern; convex or irregular base; punctate hyperechogenicity; blood flow signals; and feeding arteries. The area under the receiver operating characteristic curve, sensitivity, and specificity of HFUS features combined with clinical information were 0.946, 92.5%, and 86.9% in cohort 1; 0.870, 93.1%, and 80.8% in cohort 2 (610 lesions); and 0.864, 86.2%, and 86.6% in cohort 3 (170 lesions), respectively. However, HFUS is not suitable for evaluating lesions less than 0.1 mm in thickness or lesions exhibiting surface hyperkeratosis.
Conclusion
In a clinical setting, the integration of HFUS with clinical information exhibited good diagnostic performance in differentiating malignant and benign skin lesions. However, its utility was limited in evaluating extremely thin lesions and those exhibiting hyperkeratosis.
6.Role of high-frequency ultrasound in differentiating benign and malignant skin lesions: potential and limitations
Qiao WANG ; Weiwei REN ; Lifan WANG ; Xiaolong LI ; Anqi ZHU ; Dandan SHAN ; Jing WANG ; Yujing ZHAO ; Danhua LI ; Tian Tian REN ; Lehang GUO ; Huixiong XU ; Liping SUN
Ultrasonography 2024;43(4):237-249
Purpose:
This study examined the diagnostic value of high-frequency ultrasound (HFUS) features in differentiating between benign and malignant skin lesions.
Methods:
A total of 1,392 patients with 1,422 skin lesions who underwent HFUS examinations were included in an initial dataset (cohort 1) to identify features indicative of malignancy. Qualitative clinical and HFUS characteristics were recorded for all lesions. To determine which HFUS and clinical features were suggestive of malignancy, univariable and multivariable logistic regression analyses were employed. The diagnostic performance of HFUS features combined with clinical information was evaluated. This assessment was validated using internal data (cohort 2) and multicenter external data (cohort 3).
Results:
Features significantly associated with malignancy included age above 60 years; lesion location in the head, face, and neck or genital regions; changes in macroscopic appearance; crawling or irregular growth pattern; convex or irregular base; punctate hyperechogenicity; blood flow signals; and feeding arteries. The area under the receiver operating characteristic curve, sensitivity, and specificity of HFUS features combined with clinical information were 0.946, 92.5%, and 86.9% in cohort 1; 0.870, 93.1%, and 80.8% in cohort 2 (610 lesions); and 0.864, 86.2%, and 86.6% in cohort 3 (170 lesions), respectively. However, HFUS is not suitable for evaluating lesions less than 0.1 mm in thickness or lesions exhibiting surface hyperkeratosis.
Conclusion
In a clinical setting, the integration of HFUS with clinical information exhibited good diagnostic performance in differentiating malignant and benign skin lesions. However, its utility was limited in evaluating extremely thin lesions and those exhibiting hyperkeratosis.
7.Role of high-frequency ultrasound in differentiating benign and malignant skin lesions: potential and limitations
Qiao WANG ; Weiwei REN ; Lifan WANG ; Xiaolong LI ; Anqi ZHU ; Dandan SHAN ; Jing WANG ; Yujing ZHAO ; Danhua LI ; Tian Tian REN ; Lehang GUO ; Huixiong XU ; Liping SUN
Ultrasonography 2024;43(4):237-249
Purpose:
This study examined the diagnostic value of high-frequency ultrasound (HFUS) features in differentiating between benign and malignant skin lesions.
Methods:
A total of 1,392 patients with 1,422 skin lesions who underwent HFUS examinations were included in an initial dataset (cohort 1) to identify features indicative of malignancy. Qualitative clinical and HFUS characteristics were recorded for all lesions. To determine which HFUS and clinical features were suggestive of malignancy, univariable and multivariable logistic regression analyses were employed. The diagnostic performance of HFUS features combined with clinical information was evaluated. This assessment was validated using internal data (cohort 2) and multicenter external data (cohort 3).
Results:
Features significantly associated with malignancy included age above 60 years; lesion location in the head, face, and neck or genital regions; changes in macroscopic appearance; crawling or irregular growth pattern; convex or irregular base; punctate hyperechogenicity; blood flow signals; and feeding arteries. The area under the receiver operating characteristic curve, sensitivity, and specificity of HFUS features combined with clinical information were 0.946, 92.5%, and 86.9% in cohort 1; 0.870, 93.1%, and 80.8% in cohort 2 (610 lesions); and 0.864, 86.2%, and 86.6% in cohort 3 (170 lesions), respectively. However, HFUS is not suitable for evaluating lesions less than 0.1 mm in thickness or lesions exhibiting surface hyperkeratosis.
Conclusion
In a clinical setting, the integration of HFUS with clinical information exhibited good diagnostic performance in differentiating malignant and benign skin lesions. However, its utility was limited in evaluating extremely thin lesions and those exhibiting hyperkeratosis.
8.Role of high-frequency ultrasound in differentiating benign and malignant skin lesions: potential and limitations
Qiao WANG ; Weiwei REN ; Lifan WANG ; Xiaolong LI ; Anqi ZHU ; Dandan SHAN ; Jing WANG ; Yujing ZHAO ; Danhua LI ; Tian Tian REN ; Lehang GUO ; Huixiong XU ; Liping SUN
Ultrasonography 2024;43(4):237-249
Purpose:
This study examined the diagnostic value of high-frequency ultrasound (HFUS) features in differentiating between benign and malignant skin lesions.
Methods:
A total of 1,392 patients with 1,422 skin lesions who underwent HFUS examinations were included in an initial dataset (cohort 1) to identify features indicative of malignancy. Qualitative clinical and HFUS characteristics were recorded for all lesions. To determine which HFUS and clinical features were suggestive of malignancy, univariable and multivariable logistic regression analyses were employed. The diagnostic performance of HFUS features combined with clinical information was evaluated. This assessment was validated using internal data (cohort 2) and multicenter external data (cohort 3).
Results:
Features significantly associated with malignancy included age above 60 years; lesion location in the head, face, and neck or genital regions; changes in macroscopic appearance; crawling or irregular growth pattern; convex or irregular base; punctate hyperechogenicity; blood flow signals; and feeding arteries. The area under the receiver operating characteristic curve, sensitivity, and specificity of HFUS features combined with clinical information were 0.946, 92.5%, and 86.9% in cohort 1; 0.870, 93.1%, and 80.8% in cohort 2 (610 lesions); and 0.864, 86.2%, and 86.6% in cohort 3 (170 lesions), respectively. However, HFUS is not suitable for evaluating lesions less than 0.1 mm in thickness or lesions exhibiting surface hyperkeratosis.
Conclusion
In a clinical setting, the integration of HFUS with clinical information exhibited good diagnostic performance in differentiating malignant and benign skin lesions. However, its utility was limited in evaluating extremely thin lesions and those exhibiting hyperkeratosis.
9.Analysis of Organic Components and Their Migration Studies in Butyl Rubber Clousures of Cefmetazole Sodium for Injection by GC-MS/HPLC
Fengmei ZHANG ; Dandan CHEN ; Bingyong XU ; Jianmou LIANG ; Shan LIU ; Lijia YUAN
Herald of Medicine 2023;42(12):1819-1825
Objective To investigate the organic components in cefmetazole sodium butyl rubber clousures for injection and their migration into drugs,and to evaluate the compatibility of pharmaceutical butyl rubber clousures with cefmetazole sodium.Methods The structures of volatile components in butyl rubber clousures of cefmetzole sodium for injection and those migrated into drugs were identified by GC/MS SCAN mode and National Institute of Standard and Technology(NIST)spectrum library.An HPLC method was established to quantitatively analyse the antioxidants and vulcanizing agents transferred from butyl rubber clousures into drugs.Results Organic compounds such as antioxidant BHT and silicone oil were identified by GC/MS.The HPLC was used to determine the peak area of antioxidant(168,264,330,1 076,1 010)and vulcanizing agent in the range of 0.5-100 μg·mL-1 with good linear relationship with the peak area.The average recoveries(low,medium,and high)of antioxidant and vulcanizing agents ranged from 90.0%to 110.0%,and the corresponding RSD were all less than 2%(n=9).It was found that the antioxidant BHT and silicone oil in cefmetazole sodium butyl rubber clousures for injection would migrate into the drug and affect the clarity of the solution.Conclusion GC-MS/HPLC method can be used as an effective method for quality control of packing materials(butyl rubber clousures)and drug compatibility studies,so as to ensure the safety of drug use by the public.
10.Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU quality data from 2015 to 2020.
Longxiang SU ; Xudong MA ; Sifa GAO ; Zhi YIN ; Yujie CHEN ; Wenhu WANG ; Huaiwu HE ; Wei DU ; Yaoda HU ; Dandan MA ; Feng ZHANG ; Wen ZHU ; Xiaoyang MENG ; Guoqiang SUN ; Lian MA ; Huizhen JIANG ; Guangliang SHAN ; Dawei LIU ; Xiang ZHOU
Frontiers of Medicine 2023;17(4):675-684
This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans
;
China/epidemiology*
;
Cross Infection/epidemiology*
;
Intensive Care Units/statistics & numerical data*
;
Quality Control
;
Quality Indicators, Health Care/statistics & numerical data*
;
Sepsis/therapy*
;
East Asian People/statistics & numerical data*

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