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：探究野生型水疱性口炎病毒印第安纳株（VSV-IN）对小鼠三阴性乳腺癌4T1细胞移植模型小鼠的免疫调节及肿瘤转移的影响。方法：VSV以MOI=1、MOI=10、MOI=100感染4T1细胞12、24、48 h后，CCK-8法检测4T1细胞死亡率，划痕愈合实验检测细胞迁移能力，qPCR检测细胞中E-cadherin、MMP-2、MMP-9 mRNA的表达。于雌性BALB/c小鼠脂肪垫接种1×106个/mL的4T1细胞0.1 mL，构建4T1细胞荷瘤小鼠模型，待小鼠肿瘤体积达200 mm3，分别向移植瘤内注射PBS、紫杉醇（TAX）（15 mg/kg）、VSV-IN（1×106 pfu/只），每周1次。给药4次后，处死小鼠、剥离完整移植瘤组织，测量肿瘤体积及质量，肺组织病理切片经H-E染色后观察肿瘤肺部转移结节，流式细胞术检测脾组织中T细胞亚群比例，ELISA法检测小鼠血清IL-6及TNF-α水平，利用GEPIA在线分析乳腺肿中迁移相关蛋白mRNA的表达，免疫组化法检测肿瘤中MMP-2、MMP-9与E-cadherin的表达，利用蛋白-蛋白对接技术预测VSV-IN的G蛋白、M蛋白与ERK2、E-cadherin的亲和力。结果：经MOI=10、100的VSV-IN处理48 h后，4T1细胞死亡率显著高于对照组（均P<0.01）；与对照组相比，VSV-IN组（MOI=10）细胞迁移率明显降低（P<0.01），MMP-9 mRNA的相对表达量明显降低（P<0.05）；与对照组小鼠相比，VSV-IN组移植瘤生长较对照组减缓且终点体积显著减小（P<0.05），VSV-IN组小鼠肺转移结节数量显著减少[（12.86±1.86） vs （24±3.67）个，P<0.01]，脾内CD4+ T、CD8+ T细胞比例显著升高（均P<0.05），血清TNF-α、IL-6含量显著升高（均P<0.01）；GEPIA分析发现在乳腺癌中E-cadherin、MMP-9表达水平均高于癌旁组织（P<0.05）；VSV-IN组小鼠肿瘤细胞内MMP-9表达明显低于对照组（P<0.05）；VSV-IN的G、M蛋白与ERK2的结合自由能分别为–11.7 kcal/mol、–6.4 kcal/mol。结论：野生型VSV-IN可抑制4T1细胞荷瘤小鼠的移植瘤生长及转移，这可能与其促进抗肿瘤免疫及调控迁移相关蛋白表达有关。

[摘 要] 目的：探讨补肾健脾方（BSJP）介导法尼醇X受体（FXR）抑制肝癌细胞AH-130诱导的癌性恶病质（CC）大鼠模型的作用及其机制。方法：腹腔注射AH-130细胞建立肝癌CC大鼠模型，实验分为空白对照组、模型对照组、FXR激动剂（CDCA）组、BSJP组和BSJP + CDCA组。建模后，用CDCA、BSJP连续治疗大鼠16 d，每周称量大鼠体质量。实验结束时开腹，取腹主动脉血、粪便及附睾、腹股沟和肩胛区棕色脂肪质量。采用液相色谱-质谱法（LC-MS）检测大鼠血清和粪便中胆汁酸组分及含量，WB、qPCR法检测大鼠空肠、棕色及白色脂肪组织中FXR、Wnt家族成员10b（Wnt10b）、β-连环蛋白（β-catenin）、解偶联蛋白1（UCP-1）的表达。结果：与空白对照组相比，模型对照组大鼠体质量明显降低（P < 0.01）；与模型对照组相比，CDCA、BSJP、BSJP + CDCA组大鼠体质量均增加（均P < 0.01）。与空白对照组相比，模型对照组附睾、腹股沟和肩胛区域及总棕色脂肪质量均上升（均P < 0.05）；与模型对照组相比，各治疗组大鼠附睾、腹股沟区、棕色脂肪质量均下降（均P < 0.05），而肩胛区棕色脂肪组织质量下降无差异（P > 0.05）；各治疗组总棕色脂肪质量均显著下降（P < 0.05或P < 0.01）。LC-MS分析显示，各组大鼠血清及粪便中胆汁酸组成及含量均发生改变。qPCR、WB法结果证实，与模型组相比，BSJP和BSJP + CDCA可促进大鼠回肠、棕色脂肪及白色脂肪组织中FXR mRNA和蛋白表达升高（均P < 0.05），Wnt10b、β-catenin、UCP-1 mRNA和蛋白表达均下降（均P < 0.05）。结论：BSJP能够抑制肝癌AH-130细胞诱导的大鼠CC，并减轻由此引起的体质量下降和棕色脂肪组织的形成，其机制可能涉及调控FXR并通过抑制棕色脂肪中与Wnt通路相关的Wnt10b、β-catenin和UCP-1的表达来实现。

[摘 要] 目的：探讨精氨酸-甘氨酸-天冬氨酸（RGD）修饰对肿瘤抑素19肽（T-19）抗肝癌活性的影响，比较分析T-19及RGD修饰的T-19（RGD-T-19）对肝癌SK-Hep-1细胞增殖、侵袭和迁移能力的影响。方法：用Fmoc固相法合成T-19及RGD-T-19，用高效液相色谱仪和质谱进行分离、鉴定。常规培养SK-Hep-1细胞，用0、50、100、150、200、250 mg/mL的T-19及RGD-T-19分别处理细胞，分为0 mg/mL（对照）组、50 mg/mL组、100 mg/mL组、150 mg/mL组、200 mg/mL组、250 mg/mL组。CCK-8法、克隆形成实验、划痕愈合实验和Tanswell小室实验、WB法和qPCR法分别检测SK-Hep-1细胞的增殖、迁移、侵袭能力，以及环氧合酶-2（COX-2）、基质金属蛋白酶-2（MMP-2）、MMP-9、组织基质金属蛋白酶抑制剂-1（TIMP-1）、TIMP-2蛋白和MMP-1、MMP-2 mRNA的表达。结果：经质谱鉴定，用Fmoc固相法合成的T-19及RGD-T-19纯度高。T-19和RGD-T-19均能显著抑制SK-Hep-1细胞的增殖、迁移、侵袭能力，抑制COX-2蛋白、MMP-2和MMP-9蛋白及mRNA的表达、促进TIMP-1、TIMP-2蛋白的表达（P < 0.05, P < 0.01, P < 0.001），RGD-T-19的抑制或促进效应均明显强于T-19（均P < 0.05）。结论：利用Fmoc固相法合成了纯度高、活性好的T-19及RGD-T-19，两种肽均能抑制SK-Hep-1细胞增殖、侵袭和迁移能力，RGD-T-19作用明显强于T-19。

Purinergic P2Y Receptor Antagonists ; Consensus ; Cardiovascular System ; Cardiology ; Asia

[摘 要] 目的：基于蛋白质组学技术探讨麻疹减毒活疫苗191株（MV-Hu191）在体内外对三阴性乳腺癌MDA-MB-231、4T1细胞的影响及其作用机制。方法：采用CCK-8法检测MV-Hu191对MDA-MB-231和4T1细胞增殖的影响；液相色谱-质谱联用技术分析MV-Hu191处理对MDA-MB-231细胞中蛋白质谱的影响，多重数据库筛选蛋白质谱中的典型差异蛋白质并进行GO、KEGG、亚细胞定位与功能注释。瘤内注射1×106 TCID50 MV-Hu191干预4T1细胞移植瘤模型小鼠，流式细胞术检测小鼠脾组织中T细胞亚群，ELISA法检测小鼠血清TNF-α和IL-6含量。结果：体外实验结果表明，MV-Hu191具有抑制MDA-MB-231和4T1细胞增殖的作用，差异均具有统计学意义（P<0.01）。蛋白质组学分析结果显示，MV-Hu191作用MDA-MB-231细胞后明显上调蛋白质有38个、下调有12个；差异表达的蛋白质主要参与细胞黏附、信号受体激活、细胞代谢、应激反应等生物学过程，22个差异蛋白质亚细胞定位位于细胞外，KEGG功能分类显示与免疫调节功能相关的差异蛋白质最多且均为上调蛋白，包括C4A、C8B、SERPINF2、A2M、SERPINC1、CTSB、SERPING1、C5；PPI预测发现免疫相关差异蛋白与CD4、CD8、TNF-α及IL-6相互关联。体内实验结果显示，MV-Hu191干预组小鼠脾组织中CD4+ T细胞数量略高于对照组，但差异无统计学意义（P>0.05），CD4+/CD8+ T细胞比值明显高于对照组（P<0.05），血清TNF-α和IL-6含量显著上升（均P<0.01）。结论：MV-Hu191显著抑制MDA-MB-231、4T1细胞增殖及拮抗4T1细胞荷瘤小鼠成瘤性，其机制可能是MV-Hu191通过激活免疫效应分子实现抗肿瘤作用。