1.Chemical consitituents and hypoglycemic activity of Qinhuai No. 1 Rehmannia glutinosa
Meng YANG ; Zhi-you HAO ; Xiao-lan WANG ; Chao-yuan XIAO ; Jun-yang ZHANG ; Shi-qi ZHOU ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2025;60(1):205-210
Eight compounds were isolated and purified from the ethyl acetate part of 70% acetone extract of
2.Characteristic Analysis of Adult Acute Myeloid Leukemia Patients with PTPN11 Gene Mutation
Li SHENG ; Ya-Jiao LIU ; Jing-Fen ZHOU ; Hong-Ying CHAO ; Hai-Ying HUA ; Xin ZHOU ; Xiao-Hong ZHAO
Journal of Experimental Hematology 2024;32(4):1063-1070
Objective:To investigate the incidence of PTPN11 gene mutation and its associated gene mutations in adult patients with acute myeloid leukemia(AML),and analyze its clinical characteristics.Methods:Second-generation sequencing and Sanger sequencing were used to detect 51 gene mutations,and multiplex-PCR was used to detect 41 fusion genes from 451 newly diagnosed adult AML patients admitted to Affiliated Hospital of Jiangnan University,Changzhou Second People's Hospital,Wuxi People's Hospital and Wuxi Second People's Hospital from January 2017 to July 2022.Results:Among 451 primary adult AML patients,the PTPN11 gene mutation was detected in 34 cases,and the mutation rate was 7.5%.In the 34 patients,37 PTPN11 alterations were found,which were exclusively missense mutations affecting residues located within the N-SH2(31 cases)and PTP(6 cases)domains and clustered overwhelmingly in exon 3.The platelet count of PTPN11 mutation patients was 76.5(23.5,119.0)× 109/L,which was significantly higher than 41.0(22.0,82.5)×109/L of wild-type patients(P<0.05).While,there were no significant differences in sex,age,peripheral white blood cell count,hemoglobin,and bone marrow blast between PTPN11 mutation and wild-type patients(P>0.05).In FAB subtypes,PTPN11 mutations were mainly distributed in M5,followed by M2 and M4,less frequently in M3 and M6.There was no significant difference in the distribution of FAB subtypes between PTPN11 mutation and wild-type patients(P>0.05).A total of 118 AML patients were detected positive fusion gene,among which patients with PTPN11 mutations had a higher incidence of positive MLL-AF6 than wild-type ones(P<0.01).97.1%of 34 patients with PTPN11 mutations were accompanied by other mutations,in descending order,they were respectively NPM1(38.2%),NRAS(32.4%),FLT3-ITD(32.4%),DNMT3A(32.4%)and KRAS(23.5%),etc.Conclusion:PTPN11 mutation has a certain incidence in AML patients and is clustered overwhelmingly in exon 3.ALL of them are exclusively missense mutations,and most often present in conjunction with NPM1 mutations.FAB typing of PTPN11 mutation is mostly manifested as M5 subtype,which is associated with higher platelet counts.
3.A new pregnane steroid from Poria cocos
Chao-yuan XIAO ; Zhi-you HAO ; Meng YANG ; Shi-qi ZHOU ; Jun-yang ZHANG ; Xiao-ke ZHENG ; Yan-jun SUN ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2024;59(12):3325-3329
The 95% ethanol extract of
4.Clinical trial of Morinda officinalis oligosaccharides in the continuation treatment of adults with mild and moderate depression
Shu-Zhe ZHOU ; Zu-Cheng HAN ; Xiu-Zhen WANG ; Yan-Qing CHEN ; Ya-Ling HU ; Xue-Qin YU ; Bin-Hong WANG ; Guo-Zhen FAN ; Hong SANG ; Ying HAI ; Zhi-Jie JIA ; Zhan-Min WANG ; Yan WEI ; Jian-Guo ZHU ; Xue-Qin SONG ; Zhi-Dong LIU ; Li KUANG ; Hong-Ming WANG ; Feng TIAN ; Yu-Xin LI ; Ling ZHANG ; Hai LIN ; Bin WU ; Chao-Ying WANG ; Chang LIU ; Jia-Fan SUN ; Shao-Xiao YAN ; Jun LIU ; Shou-Fu XIE ; Mao-Sheng FANG ; Wei-Feng MI ; Hong-Yan ZHANG
The Chinese Journal of Clinical Pharmacology 2024;40(6):815-819
Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P<0.05).After continuation treatment,the remission rate was 54.59%(202 cases/370 cases),and the recurrence rate was 6.49%(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35%(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.
5.Oncogene goosecoid is transcriptionally regulated by E2F1 and correlates with disease progression in prostate cancer
Yue GE ; Sheng MA ; Qiang ZHOU ; Zezhong XIONG ; Yanan WANG ; Le LI ; Zheng CHAO ; Junbiao ZHANG ; Tengfei LI ; Zixi WU ; Yuan GAO ; Guanyu QU ; Zirui XI ; Bo LIU ; Xi WU ; Zhihua WANG
Chinese Medical Journal 2024;137(15):1844-1856
Background::Although some well-established oncogenes are involved in cancer initiation and progression such as prostate cancer (PCa), the long tail of cancer genes remains to be defined. Goosecoid ( GSC) has been implicated in cancer development. However, the comprehensive biological role of GSC in pan-cancer, specifically in PCa, remains unexplored. The aim of this study was to investigate the role of GSC in PCa development. Methods::We performed a systematic bioinformatics exploration of GSC using datasets from The Cancer Genome Atlas, Genotype-Tissue Expression, Gene Expression Omnibus, German Cancer Research Center, and our in-house cohorts. First, we evaluated the expression of GSC and its association with patient prognosis, and identified GSC-relevant genetic alterations in cancers. Further, we focused on the clinical characterization and prognostic analysis of GSC in PCa. To understand the transcriptional regulation of GSC by E2F transcription factor 1 ( E2F1), we performed chromatin immunoprecipitation quantitative polymerase chain reaction (qPCR). Functional experiments were conducted to validate the effect of GSC on the tumor cellular phenotype and sensitivity to trametinib. Results::GSC expression was elevated in various tumors and significantly correlated with patient prognosis. The alterations of GSC contribute to the progression of various tumors especially in PCa. Patients with PCa and high GSC expression exhibited worse progression-free survival and biochemical recurrence outcomes. Further, GSC upregulation in patients with PCa was mostly accompanied with higher Gleason score, advanced tumor stage, lymph node metastasis, and elevated prostate-specific antigen (PSA) levels. Mechanistically, the transcription factor, E2F1, stimulates GSC by binding to its promoter region. Detailed experiments further demonstrated that GSC acted as an oncogene and influenced the response of PCa cells to trametinib treatment. Conclusions::GSC was highly overexpressed and strongly correlated with patient prognosis in PCa. We found that GSC, regulated by E2F1, acted as an oncogene and impeded the therapeutic efficacy of trametinib in PCa.
6.Role of macrophages in pulmonary blood-air barrier impairment induced by PM2.5 exposure
Mengfei YAO ; Guozhen WANG ; Xiaonan HOU ; Duo TANG ; Zijia LIU ; Chao SHENG ; Yuchen ZHENG ; Qi ZONG ; Wenke LI ; Zhixiang ZHOU
Journal of Army Medical University 2024;46(8):849-858
Objective To investigate the role of macrophages in the process of fine particulate matter (PM2.5)exposure induced damage to pulmonary blood-air barrier.Methods Eighteen male BALB/C mice (aged of 10 weeks,weighing 24~27 g)were randomly divided into control group and low-and high-dose PM2.5 exposure groups (receiving 1 .8 and 16.2 mg/kg,respectively),with 6 mice in each group.The control group received tracheal instillations of normal saline on days 1,4,and 7,whereas the exposure groups were administered corresponding dose of PM2.5 exposure at the same time points.In 24 h after last exposure,pathological changes in the lung tissues were observed,and the contents of total protein (TP ),lactate dehydrogenase (LDH ),and alkaline phosphatase (AKP ) in bronchoalveolar lavage fluid (BALF ),and F4/80 protein level in lung tissue were measured to evaluate the blood-air barrier damage and macrophage infiltration within the lung tissues.Additionally,an in vitro model of the blood-air barrier was established using A549 alveolar epithelial cells and EA.hy926 vascular endothelial cells.In combination with a THP-1 macrophage model,the supernatant PM2.5 supernatant,macrophage supernatant,and PM2.5-macrophage supernatant were incubated with the barrier model for 24 h,respectively.Transmembrane electrical resistance (TEER),sodium fluorescein permeability of the barrier model,and LDH release from the barrier cells were measured to ascertain the extent of macrophage-mediated enhancement in barrier damage induced by PM2.5 exposure.Furthermore,the expression of inflammatory cytokines,such as TNF-α,IL-1β,IL-6,and IL-8 in the macrophages after PM2.5 exposure was analyzed with quantitative real-time PCR (qPCR)and enzyme-linked immunosorbent assay (ELISA).Results PM2.5 exposure induced lung tissue damage in mice in a dose-dependent manner,significantly elevated the contents of TP,LDH and AKP in the BALF and caused marked infiltration of macrophages into the lung tissue,especially the high-dose exposure when compared with the mice from the control group (P<0.01 ).In vitro barrier model exposure experiments showed that in comparison with the treatment of 150 and 300 μg/mL PM2.5 and macrophage supernatant,the same doses of PM2.5-macrophage supernatant resulted in notably decreased TEER and significantly enhanced permeability in the barrier model (P<0.01 ),and markedly increased LDH release from epithelial and endothelial barrier cells (P<0.01 ).Additionally,the exposure of 150 and 300μg/mL PM2.5 led to a significant up-regulation of TNF-α,IL-1β,IL-6,and IL-8 in the macrophages (P<0.01 ).Conclusion Macrophages deteriorate PM2.5-induced functional impairment of the pulmonary blood-air barrier.
7.Design,numerical simulation and experimental study of novel oxygenator
Ming-Hao YUE ; Shi-Yao ZHANG ; Ji-Nian LI ; Hui-Chao LIU ; Zi-Hua SU ; Ya-Wei WANG ; Zeng-Sheng CHEN ; Shi-Hang LIN ; Jin-Yu LI ; Ya-Ke CHENG ; Yong-Fei HU ; Cun-Ding JIA ; Ming-Zhou XU
Chinese Medical Equipment Journal 2024;45(3):23-28
Objective To design a novel oxygenator to solve the existing problems of extracorporeal membrane oxygenation(ECMO)machine in high transmembrane pressure difference,low efficiency of blood oxygen exchange and susceptibility to thrombosis.Methods The main body of the oxygenator vascular access flow field was gifted with a flat cylindrical shape.The topology of the vascular access was modeled in three dimensions,and the whole flow field was cut into a blood inlet section,an inlet buffer,a heat exchange zone,a blood oxygen exchange zone,an outlet buffer and a blood outlet section.The oxygenator was compared with Quadrox oxygenator by means of ANSYS FLUENT-based simulation and prototype experiments.Results Simulation calculations showed the oxygenator designed was comparable to the clinically used ones in general,and gained advantages in transmembrane pressure difference,blood oxygen exchange and flow uniformity.Experimental results indicated that the oxygenator behaved better than Quadrox oxygenator in transmembrane pressure difference and blood oxygen exchange.Conclusion The oxygenator has advantages in transmem-brane pressure difference,temperature change,blood oxygen ex-change and low probability of thrombosis.[Chinese Medical Equipment Journal,2024,45(3):23-28]
8.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.
9.A new biphenyl lignan from Cornus officinalis
Meng YANG ; Zhi-you HAO ; Xiao-lan WANG ; Shi-qi ZHOU ; Chao-yuan XIAO ; Jun-yang ZHANG ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2024;59(6):1751-1756
Macroporous adsorption resin, MCI, Toyopearl HW-40C and silica gel column chromatography combined with the semi-preparative HPLC were used to isolate and purify the water extract of
10.A new iridoid from Eucommia ulmoides
Shi-qi ZHOU ; Zhi-you HAO ; Meng YANG ; Chao-yuan XIAO ; Jun-yang ZHANG ; Bo-wen ZHANG ; Si-qi TAO ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2024;59(7):2062-2068
Eleven compounds were isolated from

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