1.Role of SWI/SNF Chromatin Remodeling Complex in Tumor Drug Resistance
Gui-Zhen ZHU ; Qiao YE ; Yuan LUO ; Jie PENG ; Lu WANG ; Zhao-Ting YANG ; Feng-Sen DUAN ; Bing-Qian GUO ; Zhu-Song MEI ; Guang-Yun WANG
Progress in Biochemistry and Biophysics 2025;52(1):20-31
Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca2+ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca2+ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.
2.Body fat distribution and semen quality in 4304 Chinese sperm donors.
Si-Han LIANG ; Qi-Ling WANG ; Dan LI ; Gui-Fang YE ; Ying-Xin LI ; Wei ZHOU ; Rui-Jun XU ; Xin-Yi DENG ; Lu LUO ; Si-Rong WANG ; Xin-Zong ZHANG ; Yue-Wei LIU
Asian Journal of Andrology 2025;27(4):524-530
Extensive studies have identified potential adverse effects on semen quality of obesity, based on body mass index, but the association between body fat distribution, a more relevant indicator for obesity, and semen quality remains less clear. We conducted a longitudinal study of 4304 sperm donors from the Guangdong Provincial Human Sperm Bank (Guangzhou, China) during 2017-2021. A body composition analyzer was used to measure total and local body fat percentage for each participant. Generalized estimating equations were employed to assess the association between body fat percentage and sperm count, motility, and morphology. We estimated that each 10% increase in total body fat percentage (estimated change [95% confidence interval, 95% CI]) was significantly associated with a 0.18 × 10 6 (0.09 × 10 6 -0.27 × 10 6 ) ml and 12.21 × 10 6 (4.52 × 10 6 -19.91 × 10 6 ) reduction in semen volume and total sperm count, respectively. Categorical analyses and exposure-response curves showed that the association of body fat distribution with semen volume and total sperm count was stronger at higher body fat percentages. In addition, the association still held among normal weight and overweight participants. We observed similar associations for upper limb, trunk, and lower limb body fact distributions. In conclusion, we found that a higher body fat distribution was significantly associated with lower semen quality (especially semen volume) even in men with a normal weight. These findings provide useful clues in exploring body fat as a risk factor for semen quality decline and add to evidence for improving semen quality for those who are expected to conceive.
Humans
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Male
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Adult
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Semen Analysis
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China
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Body Fat Distribution
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Longitudinal Studies
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Sperm Count
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Sperm Motility
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Body Mass Index
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Tissue Donors
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Obesity/complications*
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Spermatozoa
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Young Adult
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Middle Aged
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East Asian People
3.A comparative study on spirometry and type 2 inflammatory markers in cough-variant asthma,asthma-COPD overlap,and classic asthma
Zhengzhang GUI ; Lu YE ; Yang ZHOU ; Ling WANG ; Yifeng JIN
The Journal of Practical Medicine 2025;41(13):2065-2072
Objective To analyze the characteristics of spirometry and type 2 inflammation indicators of patients with CVA,ACO and CA to determine their clinical utility in identifying and distinguishing among CVA,ACO and CA patients.Methods Clinical data from 483 patients diagnosed with bronchial asthma,CVA,and bronchial asthma combined with chronic obstructive pulmonary disease in the outpatient department of the First Affiliated Hospital of Soochow University from July 2023 to June 2024 were collected and divided into CA,CVA and ACO groups according to diagnosis.Comparison of spirometry,fractional exhaled nitric oxide(FeNO),blood eosinophil(EOS),serum total immunoglobulin E(tIgE)and other tests between CA and CVA,CA and ACO groups.Perform logistic regression analysis on significant test results,then construct receiver operating characteristic(ROC)curves to compare the area under the curve and corresponding cut-off values.Result There was a statistically significant difference in tIgE between the CVA and CA groups(P=0.018),whereas no significant differences were observed in FeNO and EOS.Additionally,no notable differences were found between the ACO and CA groups in tIgE,FeNO,or EOS.Finally,FEV1%pred(OR=1.086,P=0.019),FEV1/FVC(OR=1.153,P=0.023),and MEF50%pred(OR=0.922,P=0.045)were used to construct the discriminative model between CA and CVA.ROC curves were plotted,with FEV1%pred showing an AUC of 0.680(P<0.001),a Youden index of 0.358,and a corresponding cutoff value of 89.200.FEV1/FVC had an AUC of 0.684(P<0.001),a Youden index of 0.334,and a cutoff value of 76.075.MEF50%pred had an AUC of 0.668(P<0.001),a Youden index of 0.309,and a cutoff value of 59.800.The combined sensitivity of these three measures was 0.909,specificity was 0.514,positive predictive value was 0.600,negative predictive value was 0.873,and the AUC was 0.773(P<0.001),with a Youden index of 0.423.FEV1(OR=0.002,P=0.045),FEV1%pred(OR=1.490,P=0.006),and FEV1/FVC(OR=0.749,P=0.005)were used to construct the discriminative model between CA and ACO.ROC curves were plotted,with FEV1 showing an AUC of 0.819(P<0.001),a Youden index of 0.532,and a corresponding cutoff value of 2.060.FEV1%pred had an AUC of 0.788(P<0.001),a Youden index of 0.501,and a cutoff value of 75.000.FEV1/FVC had an AUC of 0.891(P<0.001),a Youden index of 0.678,and a cutoff value of 68.620.The combined sensitivity of these three measures was 1.000,specificity was 0.904,positive predictive value was 0.771,negative predictive value was 1.000,and the AUC was 0.973(P<0.001),with a Youden index of 0.904.Conclusions Differences exist in the spirometry among CVA,ACO and CA.The spirometry results incor-porated into the discriminative models provide good discriminative value for distinguishing between CA and CVA patients with similar clinical symptoms,as well as for identifying ACO in the CA population.
4.Optimization of inferior vena cava imaging quality using spectral CT virtual monoenergetic images combined with multiphase scanning
Dapeng GAO ; Ziran WANG ; Xiangchuang KONG ; Quan CHEN ; Tianhe YE ; Beibei TIAN ; Shen GUI ; Lian YANG
Chinese Journal of Radiology 2025;59(9):990-996
Objective:To investigate the optimization of inferior vena cava imaging using dual-layer spectral detector CT (DLCT) virtual monoenergetic images (VMI) combined with multiphase scanning.Methods:A retrospective analysis was conducted on the imaging data of 184 patients who underwent inferior vena cava imaging using dual-layer detector spectral CT at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, from January 2021 to October 2024. Each patient underwent multiphase scanning (60, 80, and 120 s after contrast injection were referred to as the first, second, and third phases, respectively). The images were reconstructed into conventional 120 kVp polyenergetic image (PI) and VMIs at 40, 50, 60, 70, and 80 keV. Image quality of 120 kVp PI and VMI for each phase was evaluated. The objective image quality indicators included CT value, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and noise. Comparisons of the above indictors within the same phase were performed using repeated measures ANOVA or the Friedman test, while comparisons between different phases were conducted using one-way ANOVA or the Kruskal-Wallis test.Results:At the same phase, the CT value, SNR, and CNR of the 40 keV VMI were higher than those of other energy level VMIs and PI (all P<0.001). The SNR of the 40 keV VMI in the third phase was significantly higher than in the first phase ( P<0.05), while there was no significant difference between the first and second phases ( P>0.05). The standard deviation (SD) of the 40 keV VMI in the third phase was significantly lower than that in the first and second phases (all P<0.05). The subjective scores for the 40 keV VMI were higher than those for other energy level VMIs and PI at the same phase ( P<0.001). The subjective scores for the 40 keV VMI in the third phase were higher than those in the second and first phases ( P<0.001). The percentage of scores≥4 in the third phase (77.17%,142/184) was significantly higher than those in the first phase (28.26%,52/184) and second phase (61.96%,114/184) ( P<0.001). Conclusion:In inferior vena cava imaging, the 40 keV VMI, combined with the optimal phase (120 s delay), effectively optimizes image quality.
5.A comparative study on spirometry and type 2 inflammatory markers in cough-variant asthma,asthma-COPD overlap,and classic asthma
Zhengzhang GUI ; Lu YE ; Yang ZHOU ; Ling WANG ; Yifeng JIN
The Journal of Practical Medicine 2025;41(13):2065-2072
Objective To analyze the characteristics of spirometry and type 2 inflammation indicators of patients with CVA,ACO and CA to determine their clinical utility in identifying and distinguishing among CVA,ACO and CA patients.Methods Clinical data from 483 patients diagnosed with bronchial asthma,CVA,and bronchial asthma combined with chronic obstructive pulmonary disease in the outpatient department of the First Affiliated Hospital of Soochow University from July 2023 to June 2024 were collected and divided into CA,CVA and ACO groups according to diagnosis.Comparison of spirometry,fractional exhaled nitric oxide(FeNO),blood eosinophil(EOS),serum total immunoglobulin E(tIgE)and other tests between CA and CVA,CA and ACO groups.Perform logistic regression analysis on significant test results,then construct receiver operating characteristic(ROC)curves to compare the area under the curve and corresponding cut-off values.Result There was a statistically significant difference in tIgE between the CVA and CA groups(P=0.018),whereas no significant differences were observed in FeNO and EOS.Additionally,no notable differences were found between the ACO and CA groups in tIgE,FeNO,or EOS.Finally,FEV1%pred(OR=1.086,P=0.019),FEV1/FVC(OR=1.153,P=0.023),and MEF50%pred(OR=0.922,P=0.045)were used to construct the discriminative model between CA and CVA.ROC curves were plotted,with FEV1%pred showing an AUC of 0.680(P<0.001),a Youden index of 0.358,and a corresponding cutoff value of 89.200.FEV1/FVC had an AUC of 0.684(P<0.001),a Youden index of 0.334,and a cutoff value of 76.075.MEF50%pred had an AUC of 0.668(P<0.001),a Youden index of 0.309,and a cutoff value of 59.800.The combined sensitivity of these three measures was 0.909,specificity was 0.514,positive predictive value was 0.600,negative predictive value was 0.873,and the AUC was 0.773(P<0.001),with a Youden index of 0.423.FEV1(OR=0.002,P=0.045),FEV1%pred(OR=1.490,P=0.006),and FEV1/FVC(OR=0.749,P=0.005)were used to construct the discriminative model between CA and ACO.ROC curves were plotted,with FEV1 showing an AUC of 0.819(P<0.001),a Youden index of 0.532,and a corresponding cutoff value of 2.060.FEV1%pred had an AUC of 0.788(P<0.001),a Youden index of 0.501,and a cutoff value of 75.000.FEV1/FVC had an AUC of 0.891(P<0.001),a Youden index of 0.678,and a cutoff value of 68.620.The combined sensitivity of these three measures was 1.000,specificity was 0.904,positive predictive value was 0.771,negative predictive value was 1.000,and the AUC was 0.973(P<0.001),with a Youden index of 0.904.Conclusions Differences exist in the spirometry among CVA,ACO and CA.The spirometry results incor-porated into the discriminative models provide good discriminative value for distinguishing between CA and CVA patients with similar clinical symptoms,as well as for identifying ACO in the CA population.
6.Optimization of inferior vena cava imaging quality using spectral CT virtual monoenergetic images combined with multiphase scanning
Dapeng GAO ; Ziran WANG ; Xiangchuang KONG ; Quan CHEN ; Tianhe YE ; Beibei TIAN ; Shen GUI ; Lian YANG
Chinese Journal of Radiology 2025;59(9):990-996
Objective:To investigate the optimization of inferior vena cava imaging using dual-layer spectral detector CT (DLCT) virtual monoenergetic images (VMI) combined with multiphase scanning.Methods:A retrospective analysis was conducted on the imaging data of 184 patients who underwent inferior vena cava imaging using dual-layer detector spectral CT at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, from January 2021 to October 2024. Each patient underwent multiphase scanning (60, 80, and 120 s after contrast injection were referred to as the first, second, and third phases, respectively). The images were reconstructed into conventional 120 kVp polyenergetic image (PI) and VMIs at 40, 50, 60, 70, and 80 keV. Image quality of 120 kVp PI and VMI for each phase was evaluated. The objective image quality indicators included CT value, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and noise. Comparisons of the above indictors within the same phase were performed using repeated measures ANOVA or the Friedman test, while comparisons between different phases were conducted using one-way ANOVA or the Kruskal-Wallis test.Results:At the same phase, the CT value, SNR, and CNR of the 40 keV VMI were higher than those of other energy level VMIs and PI (all P<0.001). The SNR of the 40 keV VMI in the third phase was significantly higher than in the first phase ( P<0.05), while there was no significant difference between the first and second phases ( P>0.05). The standard deviation (SD) of the 40 keV VMI in the third phase was significantly lower than that in the first and second phases (all P<0.05). The subjective scores for the 40 keV VMI were higher than those for other energy level VMIs and PI at the same phase ( P<0.001). The subjective scores for the 40 keV VMI in the third phase were higher than those in the second and first phases ( P<0.001). The percentage of scores≥4 in the third phase (77.17%,142/184) was significantly higher than those in the first phase (28.26%,52/184) and second phase (61.96%,114/184) ( P<0.001). Conclusion:In inferior vena cava imaging, the 40 keV VMI, combined with the optimal phase (120 s delay), effectively optimizes image quality.
7.Effects of Ganoderma lucidum polysaccharide peptide on proliferation,migration and apoptosis of diffuse large B-cell lymphoma cells by regulating the expression of PRMT6
Hui-Yan HUANG ; Yan-Fang WU ; Ai-Wei WANG ; Gui-Bing ZHANG ; Wen-Zhong SHANG ; Ye SUN
The Chinese Journal of Clinical Pharmacology 2024;40(15):2187-2191
Objective To investigate the effect of Ganoderma lucidum polysaccharide peptide(GLPP)on proliferation,migration and apoptosis of diffuse large B cell lymphoma(DLBCL)cells and its mechanism.Methods OCI-LY19 cells were divided into six groups:control,GLPP,si-NC,si-protein arginine methyltransferase 6(PRMT6),GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups.The si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were transfected with si-NC,si-PRMT6,pcDNA3.1-NC and pcDNA3.1-PRMT6,respectively.After the transfection was completed,control,si-NC and si-PRMT6 groups were treated with RPMI-1640 medium,while the GLPP,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were cultured with RPMI-1640 medium containing with 20 μg·mL-1 GLPP.After administration 24 h,the cell proliferation inhibition rates,mobility rates and apoptosis rates were detected.The expression levels of PRMT6 protein were measured by Western blotting.Results The cell proliferation inhibition rates of si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were(1.28±0.16)%,(38.61±3.29)%,(52.84±7.74)%and(22.75±3.87)%,respectively.The number of cell migrations in the control,GLPP,si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups was(252.65±24.65),(136.54±16.46),(231.65±21.24),(142.76±15.34),(140.23±9.84)and(192.38±23.38)cells;the apoptosis rates were(4.36±0.52)%,(28.24±2.36)%,(4.23±0.45)%,(24.54±2.27)%,(28.42±3.85)%and(14.25±2.13)%);the expression levels of PRMT6 protein were 1.82±0.21,0.56±0.05,1.78±0.19,0.54±0.05,0.29±0.02 and 0.32±0.03,respectively.The differences of above indexes were statistically significant between control group and GLPP group,between si-NC group and si-PRMT6 group,between GLPP+pcDNA3.1-NC group and GLPP+pcDNA3.1-PRMT6 group(all P<0.05).Conclusion GLPP could inhibit proliferation,migration and promote apoptosis of DLBCL cells by down-regulating PRMT6 expression.
8.Disease characteristics and costs of pediatric Mycoplasma Pneumoniae pneumonia hospitalization:a retrospective study at municipal hospitals from 2019 to 2023 in Shanghai
Ying-Wen WANG ; Feng WANG ; Li-Bo WANG ; Ai-Zhen LU ; Yi WANG ; Yong-Hao GUI ; Quan LU ; Yong YIN ; Jian-Hua ZHANG ; Ying-Zi YE ; Hong XU ; Bing SHEN ; Dan-Ping GU ; Xiao-Yan DONG ; Jia-Yu WANG ; Wen HE ; Xiao-Bo ZHANG
Fudan University Journal of Medical Sciences 2024;51(4):515-521
Objective To investigate disease characteristics and hospitalization costs of children with Mycoplasma Pneumoniae pneumonia(MPP)admitted to Shanghai municipal medical hospitals from 2019 to 2023.Methods Depending on the Shanghai Municipal Hospital Pediatric Alliance,we retrospectively investigated community acquired MPP pediatric patients hospitalized in 22 municipal hospitals with pediatric qualifications(including 4 children's hospitals)in Shanghai from Jan 2019 to Dec 2023.We collected the patients'diagnosis codes,gender,age,length of hospital stay,hospitalization costs,and whether they progressed to severe Mycoplasma pneumoniae pneumonia(SMPP).Results From 2019 to 2023,a total of 29 045 hospitalized children with MPP were treated,with 6 035 cases(20.8%)identified as SMPP in the 22 hospitals.Trend analysis revealed a rising trend with years in the proportion of SMPP patients(χ2trend=365.498,P<0.001).Among the 4 children's hospitals,there were 18 710 cases with MPP,including 4 078 cases(21.8%)of SMPP.The proportion of SMPP patients also showed an increasing trend with years(χ2trend=14.548,P<0.001),and the proportion in 2023(23.0%)was higher than that in previous years with statistical significance.There were statistical differences in the seasonal distribution of MPP cases between different years,with higher proportions in summer and autumn overall.The age distribution of hospitalized MPP children varied among different years,with school-age children accounting for the majority(56.8%)in 2023.There was no difference in the distribution of severe cases between different genders,but there were differences in the proportion of severe cases among different age groups in different years,with a gradual increase in severe cases among children aged 1 to 3 years(χ2trend=191.567,P<0.001).The average length of hospital stay for MPP during the epidemic was higher than that during non-epidemic periods,and there were statistically significant differences in the average length of hospital stay between different years(P<0.001).The individual hospitalization costs during the epidemic were higher than in other years,and there were statistically significant differences in individual hospitalization costs between different years(P<0.001).The total hospitalization costs were still higher in 2019 and 2023.The individual hospitalization costs for SMPP were higher than for non-SMPP cases.Conclusion MPP outbreaks occurred in Shanghai in 2019 and 2023,with the higher proportions in summer and autumn overall.Compared to previous years,the number of hospitalized MPP children in Shanghai was higher in 2023,with a higher proportion of SMPP cases,especially among children under 3 years old.The individual per capita hospitalization expenses for SMPP cases were higher than for non-SMPP cases.
9.Analysis of component composition and content determination of six constituents for Xeriga-4 Powder
Jun LI ; Yue-Wu WANG ; Qian ZHANG ; Ping CUI ; Ri-Gui YE ; Ji-ri-mu-ba-tu
Chinese Traditional Patent Medicine 2024;46(1):14-22
AIM To analyze the component composition of Xeriga-4 Powder,and to determine the contents of phellodendrine,chlorogenic acid,gardenoside,berberine,rutin and curcumin.METHODS The high performance liquid chromatography-Q-exactive orbitrap mass spectrometry(HPLC-Q-Exactive-MS)qualitative analysis was performed on a 35℃thermostatic Agilent ZORBAX SB-Aq column(4.6 mm×150 mm,5 μm),with the mobile phase comprising of methanol-0.1%formic acid flowing at 0.35 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning.High performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS)quantitative analysis was performed on a 35℃thermostatic Shim-pack GIST-HP C18 column(2.1 mm×100 mm,3 μm),with the mobile phase comprising of methanol-0.1%formic acid flowing at 0.25 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning with multiple reaction monitoring mode.RESULTS Total 65 constituents were identified,containing 19 alkaloids,13 organic acids,13 flavonoids,7 curcumins,6 iridoids,4 fatty acids,2 aldehydes,and 1 amino acid.Six constituents showed good linear relationships within their own ranges(r≥0.999 1),whose average recoveries were 96.44%-102.37%with the RSDs of 2.05%-3.74%.CONCLUSION This study can provide a reference for the quality control for Xieriga-4 Powder.
10.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

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