<b>Objectiveb> To explore the efficacy and safety of oral solution of magnesium sodium potassium sulfate in bowel preparation before colonoscopy. <b>Methodsb> Patients who planned to undergo colonoscopy at the digestive department of the Ninth People’s Hospital, affiliated to School of Medicine of Shanghai Jiao Tong University from January 2023 to August 2023 were selected and eligible subjects were divided into two groups: Group A took polyethylene glycol （PEG） and Group B took oral solution of magnesium sodium potassium sulfate （OSS）. The quality, drug tolerance, and safety of intestinal preparation were evaluated. The quality of bowel preparation was evaluated by the boston bowel preparation scale （BBPS）. <b>Resultsb> The right colon BBPS score of Group B was (2.39±0.82) points, which was significantly higher than of Group A (2.11±0.43) points （P<0.05）. The overall score of Group B was higher than that of Group A （P<0.05）. OSS was easier to take than PEG, with a good taste and overall sensation. Patients were willing to use OSS to clean their bowels even when they were willing to undergo another examination （P<0.05）. There was a significant difference in nausea and vomiting symptoms between the two groups （P<0.05）, and there were no significant changes in renal function and electrolytes before and after medication in the two groups of patients. <b>Conclusionb> OSS had a higher quality of bowel cleaning and was easier for patients to accept.

Direct electrical stimulation of the human cortex can produce subjective visual sensations, yet these sensations are unstable. The underlying mechanisms may stem from differences in electrophysiological activity within the distributed network outside the stimulated site. To address this problem, we recruited 69 patients who experienced visual sensations during invasive electrical stimulation while intracranial electroencephalography (iEEG) data were recorded. We found significantly flattened power spectral slopes in distributed regions involving different brain networks and decreased integrated information during elicited visual sensations compared with the non-sensation condition. Further analysis based on minimum information partitions revealed that the reconfigured network interactions primarily involved the inferior frontal cortex, posterior superior temporal sulcus, and temporoparietal junction. The flattened power spectral slope in the inferior frontal gyrus was also correlated with integrated information. Taken together, this study indicates that the altered electrophysiological signatures provide insights into the neural mechanisms underlying subjective visual sensations.
Humans ; Male ; Female ; Adult ; Visual Perception/physiology* ; Electric Stimulation ; Middle Aged ; Young Adult ; Electrocorticography ; Electroencephalography ; Brain Mapping

[摘 要] 目的：基于生物信息学分析和体内、体外实验研究长链非编码RNA00511（LINC00511）敲减对非小细胞肺癌细胞增殖、凋亡、侵袭等恶性生物学行为的影响，并初步探究其作用机制。方法：通过基因表达谱交互分析（GEPIA）数据库分析LINC00511在非小细胞肺癌的表达水平，及其与患者肿瘤分期、生存期等临床特征、肿瘤细胞恶性生物学行为有关基因的相关性；利用shRNA慢病毒载体构建LINC00511敲减的H1299肺癌细胞株，克隆形成实验、划痕愈合实验和流式细胞术分别检测对H1299细胞增殖、迁移、细胞周期和凋亡能力的影响，qRT-PCR检测相关调控基因表达，WB法检测肿瘤相关蛋白的表达；构建裸鼠皮下移植瘤模型，取瘤组织进行免疫组织化学实验检测Ki67表达情况。结果：GEPIA数据库分析表明LINC00511在非小细胞肺癌组织中表达水平升高，且与该病的临床分期情况相关（P < 0.05），LINC00511与肺癌中CASP3、CCNB1、CDK4等多种基因表达均有相关性（P < 0.01）；LINC00511敲减可抑制细胞的克隆形成和迁移能力、促进肺癌细胞凋亡并影响细胞周期进展（P < 0.05，P < 0.01）；LINC00511敲减可下调肺癌细胞CCNB、CDK4、TGF-β1基因的表达（P < 0.01），对CCND1、VEGFA基因表达无明显影响，LINC00511敲减可抑制细胞内MMP9、CTNNB1表达，上调CASP3的表达（P < 0.05，P < 0.01）；裸鼠体内实验证实，LINC00511敲减可抑制移植瘤体组织内Ki67的表达（P < 0.01）。结论：LINC00511在非小细胞肺癌组织中呈高表达，与肺癌临床分期和多种基因表达具有相关性，LINC00511敲减可能通过影响相关基因、蛋白的表达，抑制肺癌H1299细胞的恶性生物学行为。

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.

The original version of this article (Yang et al., 2023) unfortunately contained a mistake. In Acknowledgments, the funding information for the Zhejiang Provincial Natural Science Foundation of China (No. LBY21H160001) was wrong. The correct funding should be the Zhejiang Health Science and Technology Project (No. 2022KY682), China.

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.

三级淋巴结构（TLS）是指非生理条件下由于长期发生炎症而形成的异位淋巴组织，是架构在成纤维细胞网络上的淋巴细胞聚集体，包含两个重要的结构区域——T细胞区和滤泡B细胞区。TLS在肿瘤中以不同的成熟状态存在，最终形成生发中心，其内含有T滤泡辅助细胞和滤泡树突状细胞，并且与B细胞紧密联系。近年研究明确了新生的 TLS的关键特征、相关的生物标志物及检测手段，进一步阐述了TLS通过刺激相关的肿瘤抗原调控淋巴细胞的浸润，以增强抗肿瘤免疫效应的作用机制。对TLS与肿瘤患者临床获益之间的相关性研究结果表明，TLS可作为包括免疫治疗在内的生物治疗的良好预后和预测因素。目前，研究者正在开发诱导TLS形成的技术，包括使用趋化因子、细胞因子、抗体、抗原提呈细胞或合成支架等。在“冷肿瘤”和“热肿瘤”中诱导TLS新生联合抑制炎性环境的治疗剂或免疫检查点抑制剂的方案，代表了肿瘤治疗的新希望。