1.Research progress on strategies to target intestinal microbiota to improve drug resistance in tumor immunotherapy
Hui-ling LI ; Bi-qing LIU ; Ying-nan FENG ; Xin HU ; Lan ZHANG ; Xian-zhe DONG
Acta Pharmaceutica Sinica 2025;60(2):260-268
A growing body of research points out that gut microbiota plays a key role in tumor immunotherapy. By optimizing the composition of intestinal microbiota, it is possible to effectively improve immunotherapy resistance and enhance its therapeutic effect. This article comprehensively analyzes the mechanism of intestinal microbiota influencing tumor immunotherapy resistance, expounds the current strategies for targeted regulation of intestinal microbiota, such as traditional Chinese medicine and plant components, fecal microbiota transplantation, probiotics, prebiotics and dietary therapy, and explores the potential mechanisms of these strategies to improve patients' resistance to tumor immunotherapy. At the same time, the article also briefly discusses the prospects and challenges of targeting intestinal microbiota to improve tumor immunotherapy resistance, which provides a reference for related research to help the strategy research of reversing tumor immunotherapy resistance.
2.Recent advances in small-molecule inhibitors targeting influenza virus RNA-dependent RNA polymerase
Hui-nan JIA ; Rui-fang JIA ; Ji-wei ZHANG ; Yuan-min JIANG ; Chuan-feng LIU ; Ying ZHANG ; Xin-yong LIU ; Peng ZHAN
Acta Pharmaceutica Sinica 2024;59(1):43-60
Influenza virus causes serious threat to human life and health. Due to the inherent high variability of influenza virus, clinically resistant mutant strains of currently approved anti-influenza virus drugs have emerged. Therefore, it is urgent to develop antiviral drugs with new targets or mechanisms of action. RNA-dependent RNA polymerase is directly responsible for viral RNA transcription and replication, and plays key roles in the viral life cycle, which is considered an important target of anti-influenza drug design. From the point of view of medicinal chemistry, this review summarizes current advances in diverse small-molecule inhibitors targeting influenza virus RNA-dependent RNA polymerase, hoping to provide valuable reference for development of novel antiviral drugs.
3.Research progress of large-scale brain network of Alzheimer's disease based on MRI analysis
Ying-Mei HAN ; Yijie LI ; Heng ZHANG ; Jing LV ; Yi ZHANG ; Yingbo QIAO ; Nan LIN ; Huiyong XU ; Feng WANG
The Journal of Practical Medicine 2024;40(4):575-579
With the advent of an aging society,Alzheimer's disease(AD)has gradually become a major ailment affecting the elderly.AD is a neurodegenerative disorder associated with cognitive impairments.In AD patients,brain network connections are disrupted,and their topological properties are also affected,leading to the disintegration of anatomical and functional connections.Anatomical connections can be tracked and evaluated using structural magnetic imaging(MRI)and diffusion tensor imaging(DTI),while functional connections are detected through functional MRI to assess their connectivity status.This review incorporates the findings of previous scholars and summarizes the current research of AD.It mainly discusses the imaging characteristics of large-scale brain network changes in AD patients,so as to provide researchers with scientific and objective imaging markers for AD prediction and early diagnosis,as well as future research.
4.Chemical consitituents and hypoglycemic activity of Sophora tonkinensis
Xiao-yun YAN ; Ling-feng QIN ; Rui ZHANG ; Ya-nan YANG ; Jin-ying TIAN ; Fei YE ; Xu ZHANG ; Pei-cheng ZHANG ; Guo-cheng WANG
Acta Pharmaceutica Sinica 2024;59(11):3135-3140
Eleven compounds were isolated from the ethyl acetate fraction of the 95% aqueous ethanol extract of the roots of
5.Aptasensor for Detection of Small Molecules Based on Displacement Fluorescent Probe
Cheng YANG ; Sheng-Nan CUI ; Yue WANG ; Guo-Feng WANG ; Cheng-Ming LI ; Shuang-Chao GU ; Chang-Ying XUE
Chinese Journal of Analytical Chemistry 2024;52(5):674-684,中插10-中插13
By using thioflavin T(ThT)as displacement-based fluorescent probes,three kinds of aptasensors were constructed for rapid detection of three kinds of small molecules such as ochratoxin A(OTA),aflatoxin B1(AFB1)and adenosine.In the absence of target molecule,ThT bound with the aptamer to form an aptamer-ThT complex and exhibited a significant fluorescence response.Upon the addition of target molecule,because of the higher affinity between target and aptamer than that between ThT and the aptamer,ThT was displaced by the target molecule from the aptamer-ThT complex,resulting in weakened fluorescence signal.Based on this principle,the target molecule could be detected quantitatively.Further study through circular dichroism spectra showed that there was no significant change in the conformation of the aptamer after addition of ThT or target molecules.The stoichiometric ratios of ThT to OTAapt,AFB1apt and Adeapt measured through the method of equimolar continuous variation was 1∶1,1∶1 and 2∶1,respectively,and their dissociation constants were all larger than those between the target molecule and its aptamer.Therefore,the principle of this detection method was the displacement of fluorescent probe(ThT)in aptamer-ThT complex by target molecule,resulting in decrease of fluorescence intensity.Under optimal experimental conditions,the limits of detection(LODs)were 0.8 nmol/L for OTA,1.3 nmol/L for AFB1,and 0.10 μmol/L for adenosine,respectively.This method was label-free,simple to operate,with low cost,good selectivity and high sensitivity.The developed assay kit based on this method could be used for actual sample detection.
6.A multicenter study of neonatal stroke in Shenzhen,China
Li-Xiu SHI ; Jin-Xing FENG ; Yan-Fang WEI ; Xin-Ru LU ; Yu-Xi ZHANG ; Lin-Ying YANG ; Sheng-Nan HE ; Pei-Juan CHEN ; Jing HAN ; Cheng CHEN ; Hui-Ying TU ; Zhang-Bin YU ; Jin-Jie HUANG ; Shu-Juan ZENG ; Wan-Ling CHEN ; Ying LIU ; Yan-Ping GUO ; Jiao-Yu MAO ; Xiao-Dong LI ; Qian-Shen ZHANG ; Zhi-Li XIE ; Mei-Ying HUANG ; Kun-Shan YAN ; Er-Ya YING ; Jun CHEN ; Yan-Rong WANG ; Ya-Ping LIU ; Bo SONG ; Hua-Yan LIU ; Xiao-Dong XIAO ; Hong TANG ; Yu-Na WANG ; Yin-Sha CAI ; Qi LONG ; Han-Qiang XU ; Hui-Zhan WANG ; Qian SUN ; Fang HAN ; Rui-Biao ZHANG ; Chuan-Zhong YANG ; Lei DOU ; Hui-Ju SHI ; Rui WANG ; Ping JIANG ; Shenzhen Neonatal Data Network
Chinese Journal of Contemporary Pediatrics 2024;26(5):450-455
Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75%(27/36);boys accounted for 64%(23/36).Among the 36 neonates,31(86%)had disease onset within 3 days after birth,and 19(53%)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61%)had left cerebral infarction and 13(36%)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75%)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72%)and seizures in 10 neonates(34%).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33%,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44%(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.
7.The Mechanisms of Deubiquitinases in Colorectal Cancer
Xiao-Nan CHEN ; Hong-Ying LAN ; Feng WANG
Chinese Journal of Biochemistry and Molecular Biology 2024;40(10):1329-1342
Colorectal cancer ranks among the malignancies with high incidence and mortality rates,po-sing significant challenges to its prevention and treatment.In recent years,accumulating evidence has highlighted the critical involvement of deubiquitinases in the development and progression of colorectal cancer.Deubiquitinases meticulously remove ubiquitin moieties from proteins,thereby regulating protein stability,cellular signaling cascades,and gene expression,which in turn impacts key processes in tumor cells such as proliferation,survival,and metastasis.Deubiquitinases can influence the stability of cell cycle proteins,promoting cell cycle progression and accelerating cellular proliferation.Within the Wnt/β-catenin signaling pathway,deubiquitinases contribute to pathway hyperactivation by enhancing nuclear localization of β-catenin,a pivotal event in colorectal cancer initiation.Deubiquitinases also play a role in modulating the stability of immune checkpoint regulators,affecting the function of immune cells within the tumor microenvironment and facilitating immune evasion.Through regulation of transcription factor ubiquitination status,deubiquitinases impact target gene expression,promoting epithelial-mesenchymal transition,thereby augmenting colorectal cancer's invasive and metastatic potential.Moreover,deubiq-uitinases mediate chemoresistance in tumor cells by controlling the stability of apoptosis inhibitors,DNA repair enzymes,or drug efflux pumps.Given the critical role of deubiquitinases in colorectal cancer pro-gression,the development of small molecule inhibitors targeting specific deubiquitinases has emerged as an attractive yet challenging field of research.Several inhibitors have demonstrated the capability to in-hibit colorectal cancer cell growth and induce apoptosis in vitro and animal models.This review delves in-to the advancements in understanding the roles of deubiquitinases in colorectal cancer and discusses the application of small molecule inhibitors in colorectal cancer,providing insights for therapeutic strategies against this disease.
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.Analysis of red blood cells supply before and after the outbreak of COVID-19 from 2018 to 2021 in 18 domestic blood centers
Dongyan ZHAO ; Hongwei MA ; Dingjie TANG ; Xiaorong FENG ; Hao TIAN ; Mengzhuo LUO ; Nan WU ; Yan LIN ; Xia DU ; Qi FU ; Junlei HUANG ; Changchun LU ; Xiaoli CAO ; Yi YANG ; Lin WANG ; Ying LI ; Hai QI ; Dongtai WANG ; Yan QIU
Chinese Journal of Blood Transfusion 2023;36(10):892-898
【Objective】 To compare the supply data of red blood cells(RBCs) from 18 blood centers in China before and after the outbreak of COVID-19 during 2018 to 2021. 【Methods】 Eight indicators related to RBCs supply from 18 blood centers in China during 2018-2021 were collected retrospectively, including the storage of total amount of qualified RBCs (referred to as the total amount of storage), the distribution of total amount of RBCs (referred to as the total amount of distribution), the distribution amount of RBCs per 1 000 population (referred to as the amount of distribution per 1 000 population), the distribution amount of RBCs from 400 mL original blood per 1 000 population [referred to as the amount of distribution per 1 000 population (400 mL)], the average daily distribution amount of RBCs (referred to as the average daily distribution amount), the average daily storage amount of RBCs (referred to as the average daily storage amount), the average storage days of RBCs when distribute (referred to as the RBC storage days), and the expired amount of RBCs (referred to as the expired amount). Based on the outbreak time of COVID-19, the data of 2018 and 2019 were the pre-pandemic group, and the data of 2020 and 2021 were the post-pandemic group. 【Results】 Data on RBCs supply in 18 blood centers from 2018 to 2021(comparison of the pre-pandemic group and the post-pandemic group): the amount of distribution per 1 000 population (median 14.68 U>13.92 U) decreased, the amount of distribution per 1 000 population (400 mL) (median 10.16 U>9.21 U) decreased, and the difference was statistically significant (P<0.05); data comparison between 2019 and 2020:the total amount of distribution (median 117 770.38 U>99 084.08 U) decreased, the amount of distribution per 1 000 population (median 15.04 U>12.19 U) decreased, the amount of distribution per 1000 population (400 mL) (median 10.11 U>8.94 U), the average daily distribution amount(322.66 U>270.73 U) decreased and RBC storage days (median 10.50 d<11.45 d) increased, the difference has statistical significance (P<0.05); data comparison between 2020 and 2021:the total amount of storage (median 101 920.25 U<120 328.63 U), the total amount of distribution (median 99 084.08 U<118 428.62 U), the amount of distribution per 1 000 population (median 12.19 U<15.00 U), the amount of distribution per 1 000 population (400 mL) (median 8.94 U<9.46 U), the average daily distribution amount (270.73 U>324.46 U), the average daily inventory (median 3 222.00 U<4 328.00 U) increased, the expired amount (median 1.50 U>0.00 U) decreased, the difference has statistical significance (P<0.05). The results of ANOVA showed that there were significant differences on the data related to RBCs supply (except expired amount) in different blood centers (P<0.05). The ratio of average daily stock to average daily distribution in the post-outbreak group (median 12.36 d) was higher than that in the pre-outbreak group (median 10.92 d), the difference has statistical significance (P<0.05), with significant difference among different blood centers (P <0.05). 【Conclusion】 The COVID-19 pandemic has a significant impact on RBCs supply in different blood centers. In the second year of the pandemic, the supply capability had recovered to some extent, and there were differences in RBCs supply in different blood centers.
10.Angiotensin-(1-7) improves endothelium-dependent vasodilation in rats with monocrotaline-induced pulmonary arterial hypertension.
Xuan-Xuan LIU ; Ai-Dong CHEN ; Yan PAN ; Feng ZHANG ; Zhen-Bao QI ; Nan CAO ; Ying HAN
Acta Physiologica Sinica 2023;75(4):497-502
In this study, we used a rat model of pulmonary arterial hypertension (PAH) induced by monocrotaline (MCT) to investigate the role and mechanism of angiotensin (Ang)-(1-7) in regulating pulmonary artery diastolic function. Three weeks after subcutaneous injection of MCT or normal saline, the right ventricular systolic pressure (RVSP) and right ventricular hypertrophy index (RVHI) of rats were detected using a right heart catheter. Vascular endothelium-dependent relaxation was evaluated by acetylcholine (ACh)-induced vasodilation. The relaxation function of vascular smooth muscle was evaluated by sodium nitroprusside (SNP)-induced vasodilation. Human pulmonary artery endothelial cells (HPAECs) were incubated with Ang-(1-7) to measure nitric oxide (NO) release levels. The results showed that compared with control rats, RVSP and RVHI were significantly increased in the MCT-PAH rats, and both ACh or SNP-induced vasodilation were worsened. Incubation of pulmonary artery of MCT-PAH rats with Ang-(1-7) (1 × 10-9-1 × 10-4 mol/L) caused significant vaso-relaxation. Pre-incubation of Ang-(1-7) in the pulmonary artery of MCT-PAH rats significantly improved ACh-induced endothelium-dependent relaxation, but had no significant effect on SNP-induced endothelium-independent relaxation. In addition, Ang-(1-7) treatment significantly increased NO levels in HPAECs. The Mas receptor antagonist A-779 inhibited the effects of Ang-(1-7) on endothelium-dependent relaxation and NO release from endothelial cells. The above results demonstrate that Ang-(1-7) promotes the release of NO from endothelial cells by activating Mas receptor, thereby improving the endothelium-dependent relaxation function of PAH pulmonary arteries.
Rats
;
Humans
;
Animals
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Vasodilation
;
Pulmonary Arterial Hypertension
;
Monocrotaline/toxicity*
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Rats, Sprague-Dawley
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Hypertension, Pulmonary/chemically induced*
;
Endothelial Cells
;
Pulmonary Artery
;
Endothelium
;
Acetylcholine/pharmacology*
;
Nitroprusside/pharmacology*

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