[摘 要] 免疫细胞介导的药物递送系统是以免疫细胞为载体，利用细胞固有的趋化作用将治疗药物靶向递送至特定病灶部位，因其具有优异的生物相容性、低免疫原性、组织特异性归巢及易穿过生物屏障等多重优势，已成为药物递送和疾病治疗的重要手段。本文系统论述免疫细胞的载药策略和单核细胞、中性粒细胞、间充质干细胞和树突状细胞等作为载体细胞的生物学特性、主要优缺点，以及应用于肿瘤治疗的最新研究进展，为深入研究免疫细胞介导的药物递送系统和临床转化提供重要参考。

[摘 要] 目的：探讨KH型剪切调节蛋白（KHSRP）靶向调控JAK1/STAT3信号轴对食管胃结合部腺癌（AEG）细胞增殖、迁移和侵袭及移植瘤生长与肺转移的影响。方法：收集2017年1月至2018年12月间在淮河医院确诊的64例AEG组织和癌旁组织标本及临床资料，采用免疫组化法观察AEG组织和癌旁组织中KHSRP的表达水平。qPCR法检测AEG细胞OE-19、TE-7、BIC-1、FLO-1、SK-GT-4、BE-3与正常食管上皮细胞Het-1A中KHSRP的表达差异。通过慢病毒载体对KHSRP进行敲减和过表达处理，分别转染OE-19与TE-7细胞、FLO-1与SK-GT-4细胞，实验分为sh-NC组、sh-KHSRP组和Vector组、KHSRP过表达组（KHSRP组）。采用qPCR法检测敲减或过表达效率，CCK-8法、Transwell小室法分别检测敲减或过表达KHSRP对AEG细胞增殖、迁移和侵袭的影响。构建小鼠异种移植瘤和肺转移模型，观察KHSRP对移植瘤体内生长和转移的作用。WB法验证KHSRP靶向JAK/STAT信号通路。细胞拯救实验验证KHSRP是否通过调节JAK1/STAT3信号通路促进AEG细胞的恶性进程。结果：与癌旁组织相比，AEG组织中KHSRP表达水平显著增高（P < 0.05或P < 0.01）。细胞功能实验分析显示，KHSRP过表达在体外均显著促进AEG细胞增殖、迁移和侵袭（P < 0.05或P < 0.01）。动物实验结果显示，KHSRP在裸鼠体内具有促进AEG细胞移植瘤生长与肺转移的作用（P < 0.05或P < 0.01）。在敲减KHSRP后，JAK/STAT信号通路中JAK1、STAT3磷酸化水平均明显降低，过表达KHSRP后情况则均反之（P < 0.05或P < 0.01）。细胞拯救实验显示，KHSRP可以逆转敲减JAK1/STAT3对细胞增殖、迁移和侵袭的抑制作用（P < 0.05或P < 0.01）。结论：KHSRP通过激活JAK1/STAT3信号通路调控AEG细胞转移的恶性进程，KHSRP有望成为AEG临床治疗的潜在靶点。

Background: A comparative study of classical medical texts within Traditional Medicine provides a vital framework for uncovering the origins, development, transmission, and historical significance of healing traditions. This approach highlights a specific culture’s contribution to medical knowledge and reflects the intricate interplay of religion, culture, and philosophical thought embedded in those eras. Aim: To conduct a comparative analysis of the depictions of the “Medicinal Mandala” as described in the first chapter of the “Root Tantra” section in the two classical medical sources Sorig Bumshi and Gyudshi. Materials and Methods: This research examines two foundational Tibetan medical texts—Sorig Bumshi and Gyudshi—using theme-based classification and content analysis methodologies grounded in textual source criticism. Results: The findings confirm that Sorig Bumshi, a Bönpo medical text from the ancient Zhangzhung civilization, was composed earlier. The great translator Byaruzana translated it from the Zhangzhung language, after which Yuthok Yönten Gönpo and collaborators edited, revised, and systematized the text to form Gyudshi, embedding it in Buddhist epistemological frameworks. Conclusions 1. The medicinal mandala of Gyudshi—structured around a central "beautiful medicinal city" surrounded by four directional mountains—demonstrates a refined adaptation of the more expansive, sacred mandala depicted in Sorig Bumshi, which is centered on Olmo Lung Ring, a Bönpo pure land rich in symbolic geography. 2. The numerical values recorded in both texts—particularly the recurring use of 360 and 404—suggest different paradigms in medical theory. Sorig Bumshi embeds these numbers within a Bön cosmological and ritual context (e.g., 360 deities, mountains, and healing lakes), while Gyudshi reinterprets them under Buddhist causal reasoning (e.g., 404 diseases derived from wind, bile, phlegm, and karma). This transformation reflects a shift from Bön to Buddhist medical epistemology through selective integration and doctrinal refinement.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

[摘 要] 目的：探究茯苓酸（PA）是否通过AKT/MDM2/p53通路影响结直肠癌HCT116细胞的恶性生物学行为。方法：常规培养HCT116细胞，并将其分为对照组、MK-2206（AKT抑制剂）组、PA低浓度（PA-L）组、PA高浓度（PA-H）组、PA-H+ SC79（AKT激活剂）组。CCK-8法、细胞克隆形成实验、流式细胞术、Transwell、qPCR法和WB法实验分别检测各组HCT116细胞的增殖活力，克隆形成能力，细胞凋亡，迁移、侵袭能力，E-cadherin、N-cadherin和vimentin mRNA表达以及AKT/MDM2/p53通路相关蛋白的表达。结果：PA可明显抑制HCT116细胞的增殖活力（P<0.05）、克隆形成能力（P<0.05）、迁移和侵袭能力（P<0.05），诱导其凋亡（P<0.05），抑制N-cadherin、vimentin mRNA的表达（P<0.05），促进E-cadherin mRNA的表达（P<0.05），抑制AKT、MDM2的磷酸化水平（P<0.05），促进p53蛋白的表达（P<0.05）；AKT抑制剂MK-2206可模拟PA的作用（均P<0.05），而其激活剂SC79则可逆转PA的作用（均P<0.05）。结论：PA通过调控AKT/MDM2/p53信号通路来抑制HCT116细胞的增殖、迁移和侵袭并诱导其凋亡。

[摘 要] 目的：探讨多结节非小细胞肺癌（NSCLC）组织中的驱动基因突变情况与临床病理特征的关系，为多结节NSCLC患者治疗提供分子诊断依据。方法：本研究共纳入2018年1月至2023年10月间云南省肿瘤医院分子诊断中心检测的121例多结节NSCLC患者的253个肺结节肿瘤组织标本，以第二代测序（NGS）技术或扩增阻滞突变系统PCR（ARMS-PCR）技术检测多结节NSCLC 组织中驱动基因突变情况，分析其与患者临床病理特征的关系，比较不同结节间肺癌驱动基因的突变异质性。结果：与非“宣威”NSCLC相比，“宣威”多结节NSCLC患者驱动基因突变具有显著的地域特点，表现在“宣威”患者具有较低（20%）的EGFR敏感突变（L858R、19-del）及较高（27.26%）的EGFR少见突变（主要为G719/S768I、G719）；“宣威”多结节NSCLC患者的KRAS突变率（27.27%）亦显著高于非“宣威”患者突变率（12.59%）（P<0.05）。此外，“宣威”多结节NSCLC患者驱动基因突变不一致率高达69.23%，远高于非“宣威”患者驱动基因突变不一致率（55.07%）（P<0.05）。结论：“宣威”多结节NSCLC患者具有较高的EGFR少见突变及KRAS突变率，同一患者不同病灶之间存在更高的驱动基因突变异质性，本研究将为“宣威”多结节NSCLC的诊疗策略提供更多的选择。