1.Combination of AAV-delivered tumor suppressor PTEN with anti-PD-1 loaded depot gel for enhanced antitumor immunity.
Yongshun ZHANG ; Lan YANG ; Yangsen OU ; Rui HU ; Guangsheng DU ; Shuang LUO ; Fuhua WU ; Hairui WANG ; Zhiqiang XIE ; Yu ZHANG ; Chunting HE ; Cheng MA ; Tao GONG ; Ling ZHANG ; Zhirong ZHANG ; Xun SUN
Acta Pharmaceutica Sinica B 2024;14(1):350-364
Recent clinical studies have shown that mutation of phosphatase and tensin homolog deleted on chromosome 10 (PTEN) gene in cancer cells may be associated with immunosuppressive tumor microenvironment (TME) and poor response to immune checkpoint blockade (ICB) therapy. Therefore, efficiently restoring PTEN gene expression in cancer cells is critical to improving the responding rate to ICB therapy. Here, we screened an adeno-associated virus (AAV) capsid for efficient PTEN gene delivery into B16F10 tumor cells. We demonstrated that intratumorally injected AAV6-PTEN successfully restored the tumor cell PTEN gene expression and effectively inhibited tumor progression by inducing tumor cell immunogenic cell death (ICD) and increasing immune cell infiltration. Moreover, we developed an anti-PD-1 loaded phospholipid-based phase separation gel (PPSG), which formed an in situ depot and sustainably release anti-PD-1 drugs within 42 days in vivo. In order to effectively inhibit the recurrence of melanoma, we further applied a triple therapy based on AAV6-PTEN, PPSG@anti-PD-1 and CpG, and showed that this triple therapy strategy enhanced the synergistic antitumor immune effect and also induced robust immune memory, which completely rejected tumor recurrence. We anticipate that this triple therapy could be used as a new tumor combination therapy with stronger immune activation capacity and tumor inhibition efficacy.
2.Immunostimulatory gene therapy combined with checkpoint blockade reshapes tumor microenvironment and enhances ovarian cancer immunotherapy.
Yunzhu LIN ; Xiang WANG ; Shi HE ; Zhongxin DUAN ; Yunchu ZHANG ; Xiaodong SUN ; Yuzhu HU ; Yuanyuan ZHANG ; Zhiyong QIAN ; Xiang GAO ; Zhirong ZHANG
Acta Pharmaceutica Sinica B 2024;14(2):854-868
Immune evasion has made ovarian cancer notorious for its refractory features, making the development of immunotherapy highly appealing to ovarian cancer treatment. The immune-stimulating cytokine IL-12 exhibits excellent antitumor activities. However, IL-12 can induce IFN-γ release and subsequently upregulate PDL-1 expression on tumor cells. Therefore, the tumor-targeting folate-modified delivery system F-DPC is constructed for concurrent delivery of IL-12 encoding gene and small molecular PDL-1 inhibitor (iPDL-1) to reduce immune escape and boost anti-tumor immunity. The physicochemical characteristics, gene transfection efficiency of the F-DPC nanoparticles in ovarian cancer cells are analyzed. The immune-modulation effects of combination therapy on different immune cells are also studied. Results show that compared with non-folate-modified vector, folate-modified F-DPC can improve the targeting of ovarian cancer and enhance the transfection efficiency of pIL-12. The underlying anti-tumor mechanisms include the regulation of T cells proliferation and activation, NK activation, macrophage polarization and DC maturation. The F-DPC/pIL-12/iPDL-1 complexes have shown outstanding antitumor effects and low toxicity in peritoneal model of ovarian cancer in mice. Taken together, our work provides new insights into ovarian cancer immunotherapy. Novel F-DPC/pIL-12/iPDL-1 complexes are revealed to exert prominent anti-tumor effect by modulating tumor immune microenvironment and preventing immune escape and might be a promising treatment option for ovarian cancer treatment.
3.Effects of traditional Chinese medicine on treatment outcomes in severe COVID-19 patients: a single-centre study.
Yongjiu XIAO ; Binbin LI ; Chang LIU ; Xiuyu HUANG ; Ling MA ; Zhirong QIAN ; Xiaopeng ZHANG ; Qian ZHANG ; Dunqing LI ; Xiaoqing CAI ; Xiangyong YAN ; Shuping LUO ; Dawei XIANG ; Kun XIAO
Chinese Journal of Natural Medicines (English Ed.) 2024;22(1):89-96
As the search for effective treatments for COVID-19 continues, the high mortality rate among critically ill patients in Intensive Care Units (ICU) presents a profound challenge. This study explores the potential benefits of traditional Chinese medicine (TCM) as a supplementary treatment for severe COVID-19. A total of 110 critically ill COVID-19 patients at the Intensive Care Unit (ICU) of Vulcan Hill Hospital between Feb., 2020, and April, 2020 (Wuhan, China) participated in this observational study. All patients received standard supportive care protocols, with a subset of 81 also receiving TCM as an adjunct treatment. Clinical characteristics during the treatment period and the clinical outcome of each patient were closely monitored and analysed. Our findings indicated that the TCM group exhibited a significantly lower mortality rate compared with the non-TCM group (16 of 81 vs 24 of 29; 0.3 vs 2.3 person/month). In the adjusted Cox proportional hazards models, TCM treatment was associated with improved survival odds (P < 0.001). Furthermore, the analysis also revealed that TCM treatment could partially mitigate inflammatory responses, as evidenced by the reduced levels of proinflammatory cytokines, and contribute to the recovery of multiple organic functions, thereby potentially increasing the survival rate of critically ill COVID-19 patients.
Humans
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COVID-19
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Medicine, Chinese Traditional
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SARS-CoV-2
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Critical Illness
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Treatment Outcome
4.Analysis methods and case analysis of effect modification (1): effect modification in epidemiology and traditional Meta-analysis
Fengqi LIU ; Zhirong YANG ; Shanshan WU ; Houyu ZHAO ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(1):148-154
This paper briefly introduces the definition, classification and significance of effect modification in epidemiological studies, summarizes the difference between effect modifier and confounders, and analyze the influence as well as the role of effect modification in epidemiological studies and Meta-analysis. In this paper, the possible scenarios of effect modification and related analysis strategy in Meta-analysis are indicated by graphics, aiming to arouse researchers' attention to effect modification. This paper also demonstrates how to identify and deal with effect modification in Meta-analysis through a study case of "Efficacy of sodium-glucose cotransporter 2 inhibitors in patients with type 2 diabetes", and shows the analysis process and interpretation of results of subgroup analysis and Meta-regression methods respectively. The advantages and disadvantages of these two methods are summarized to provide reference for the method selection of future research.
5.Analysis methods and case analysis of effect modification (2): effect modification in network Meta-analysis
Fengqi LIU ; Zhirong YANG ; Shanshan WU ; Houyu ZHAO ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(2):273-278
This paper briefly introduces the characteristics, research significance, and global reporting status of effect modification in network Meta-analysis, demonstrates the heterogeneity caused by effect modification in network Meta-analysis, and emphasizes the importance of exploring effect modification in network Meta-analysis. This paper also summarizes the normalized description and analysis strategies of effect modification in network Meta-analysis. Finally, by the case of "comparison of efficacy of three new hypoglycemic drugs in reducing body weight in type 2 diabetes patients", this paper demonstrates the realization of subgroup analysis and network Meta-regression in exploring effect modification, summarizes the advantages and disadvantages of the two methods, to provide references for future researchers.
6.Progress in methodological research on bridging the efficacy-effectiveness gap of clinical interventions (1): to improve the validity of real-world evidence
Zuoxiang LIU ; Zilin LONG ; Zhirong YANG ; Shuyuan SHI ; Xinran XU ; Houyu ZHAO ; Zuyao YANG ; Zhu FU ; Haibo SONG ; Tengfei LIN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(2):286-293
Objective:Differences between randomized controlled trial (RCT) results and real world study (RWS) results may not represent a true efficacy-effectiveness gap because efficacy-effectiveness gap estimates may be biased when RWS and RCT differ significantly in study design or when there is bias in RWS result estimation. Secondly, when there is an efficacy- effectiveness gap, it should not treat every patient the same way but assess the real-world factors influencing the intervention's effectiveness and identify the subgroup likely to achieve the desired effect.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:Ten articles were included to discuss how to use the RCT research protocol as a template to develop the corresponding RWS research protocol. Moreover, based on correctly estimating the efficacy-effectiveness gap, evaluate the intervention effect in the patient subgroup to confirm the subgroup that can achieve the expected benefit-risk ratio to bridge the efficacy-effectiveness gap.Conclusion:Using real-world data to simulate key features of randomized controlled clinical trial study design can improve the authenticity and effectiveness of study results and bridge the efficacy-effectiveness gap.
7.Analysis methods and case analysis of effect modification (3): effect modification in individual patient data Meta-analysis
Fengqi LIU ; Zhirong YANG ; Shanshan WU ; Houyu ZHAO ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(3):447-454
This paper briefly introduces the unique advantages, overall analysis ideas and existing analysis methods of individual patient data Meta-analysis in terms of effect modification. In addition to Meta-regression and subgroup analysis, this paper also introduces the analysis methods based on part of individual patient data integrated with aggregated data and summarizes the current reporting of the above mentioned methods. In addition, the application and results interpretation of the above mentioned methods in individual patient data Meta-analysis are presented in this paper by taking "Effects of sodium-glucose cotransporter 2 inhibitors on SBP in patients with type 2 diabetes" as an example and by introducing their advantages and limitations.
8.Progress in methodological research on bridging the efficacy-effectiveness gap of clinical interventions(2): to improve the extrapolation of efficacy
Zuoxiang LIU ; Zilin LONG ; Zhirong YANG ; Shuyuan SHI ; Xinran XU ; Houyu ZHAO ; Zuyao YANG ; Zhu FU ; Haibo SONG ; Tengfei LIN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(4):579-584
Objective:Randomized controlled trials (RCT) usually have strict implementation criteria. The included subjects' characteristics of the conditions for the intervention implementation are quite different from the actual clinical environment, resulting in discrepancies between the risk-benefit of interventions in actual clinical use and the risk-benefit shown in RCT. Therefore, some methods are needed to enhance the extrapolation of RCT results to evaluate the real effects of drugs in real people and clinical practice settings.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:A total of 12 articles were included. Three methods in the included literature focused on: ①improving the design of traditional RCT to increase population representation; ②combining RCT Data with real-world data (RWD) for analysis;③calibrating RCT results according to real-world patient characteristics.Conclusions:Improving the design of RCT to enhance the population representation can improve the extrapolation of the results of RCT. Combining RCT data with RWD can give full play to the advantages of data from different sources; the results of the RCT were calibrated against real-world population characteristics so that the effects of interventions in real-world patient populations can be predicted.
9.Study on Ecological Suitability Regionalization of Sophora japonica cv.jinhuai Based on MaxEnt Model and ArcGIS
Yanjun WANG ; Xinyu SU ; Chenghao ZHU ; Shurui ZHANG ; Siyu MA ; Pingguo FU ; Zhirong SUN
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(6):1-6
Objective To predict the potential suitable distribution areas of Sophora japonica cv.jinhuai in China;To provide a references for resource development and expanded cultivation of Sophora japonica cv.jinhuai.Methods Totally 85 pieces of information on the distribution of sample sites were collected and combined data on 72 environmental factors,and the dominant environmental factors affecting the suitability distribution of Sophora japonica cv.jinhuai were analyzed using the maximum entropy(MaxEnt)model and geographic information system software ArcGIS.Results The five dominant environmental factors influencing the suitability distribution of Sophora japonica cv.jinhuai were dry month precipitation,May light radiation,November precipitation,September mean temperature,and October light radiation.The potentially suitable distribution area of Sophora japonica cv.jinhuai in China was mainly concentrated in the transition zone between south-central Hunan Province and northeast Guangxi Zhuang Autonomous Region.Conclusion The results of this study can provide references for the selection of the cultivation areas of Sophora japonica cv.jinhuai and protection of wild reso of Sophora japonica cv.jinhuai.
10.Study on Quality Evaluation of Symbiotic Armillaria in Gastrodia elata Bl. Based on AHP-Entropy Weight Method
Yuanfan ZHANG ; Chenghao ZHU ; Yuan JIANG ; Yue ZHANG ; Huairong ZHANG ; Wei ZHANG ; Shengbo ZHAO ; Zhirong SUN
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(7):113-121
Objective To use analytic hierarchy process(AHP)-entropy weight method to evaluate the quality of symbiotic Armillaria in Gastrodia elata Bl.Methods The physiological,growth and chemical indexes of 6 strains of G.elata symbiotic Armillaria were used as evaluation factors,and the weight coefficients of each index were calculated by the AHP-entropy weight method.A comprehensive quality evaluation system was established to evaluate the quality of Armillaria strains,and the results were verified by red G.elata and hybrid G.elata combined planting experiments.Results The quality evaluation results showed that extracellular xylanase activity,extracellular cellulase activity and total sugar weight were relatively high,among which strains N6 and N3 ranked the top.The results showed that strains N5 and N4 combined with red G.elata had better quality,that strains N6 and N3 combined with hybrid G.elata had better quality.Conclusion The correlation of extracellular xylanase activity and total sugar of cellulase activity should be paid attention to in the quality evaluation of symbiotic Armillaria in G.elata.The quality evaluation system constructed in this artilcle is basically consistent with the results of hybrid G.elata combined with hybrid G.elata experiment,which can provide references for the quality screening of symbiotic Armillaria in G.elata.

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