The effect of octreotide on pharmacological studies after ANP.

<p>The contractile response to ACh in ileal muscle from the ANP+saline rats were lower than that obtained from the control+saline group at 24 h(*; <i>P</i> = 0.026; <i>A, C</i>). No significant difference were observed between the ANP+octreotide groups (24 h, 48 h and 72 h) and the control+octreotide group (<i>C</i>). The response to ACh in ANP+octreotide group was much higher than the ANP+saline group at 24 h (**; <i>P</i> = .002; n = 8; <i>A, C</i>). No difference in response to l-NNA was found between any of the ANP+saline groups (24 h, 48 h and 72 h) and the control+saline group or between any of the ANP+octreotide groups (24 h, 48 h and 72 h) and the control+octreotide group (<i>B, D</i>). The response to l-NNA in the ANP+octreotide group was higher than the ANP+saline group at 24 h (<i>P</i> = .053; n = 8; <i>B, D</i>). Data are expressed as means ± SEM. (*, <i>P</i><.05; **, <i>P</i><.01).</p

Image_1_Nucleic acid-sensing-related gene signature in predicting prognosis and treatment efficiency of small cell lung cancer patients.tif

IntroductionNucleic acid-sensing (NAS) pathways could induce innate and adaptive immune responses. However, rare evidence exhibited how the core genes of the NAS pathways affected the immune response and prognosis of small cell lung cancer (SCLC) patients.MethodsWe conducted a comprehensive bioinformatic analysis based on the RNA profiles of 114 SCLC patients, including 79 from cBioPortal, 21 from GSE30219, and 14 from our sequencing data. The multiplex immunohistochemistry (mIHC) was used to characterize the role of NAS related genes in the tumor microenvironment (TME) of SCLC.ResultsA prognostic model (7NAS risk model) was constructed based on 7 NAS-related genes which was demonstrated as an independent prognostic index. The low-risk group was identified to have a better prognosis and an immune-activated microenvironment in both the public datasets and our dataset. Intriguingly, mIHC data showed that CD45+ immune cells, CD8+ T lymphocytes, and CD68+ macrophages were prevalently enriched in low-risk SCLC patients and positively correlated with IRF1 expression. Additionally, Patients in the low-risk group might have superior responses to chemotherapy and immunotherapy.ConclusionConclusively, this study created a new risk model based on genes associated with NAS pathways which could predict the prognosis and response of treatment in patients with SCLC.</p

Image_2_Nucleic acid-sensing-related gene signature in predicting prognosis and treatment efficiency of small cell lung cancer patients.tif

IntroductionNucleic acid-sensing (NAS) pathways could induce innate and adaptive immune responses. However, rare evidence exhibited how the core genes of the NAS pathways affected the immune response and prognosis of small cell lung cancer (SCLC) patients.MethodsWe conducted a comprehensive bioinformatic analysis based on the RNA profiles of 114 SCLC patients, including 79 from cBioPortal, 21 from GSE30219, and 14 from our sequencing data. The multiplex immunohistochemistry (mIHC) was used to characterize the role of NAS related genes in the tumor microenvironment (TME) of SCLC.ResultsA prognostic model (7NAS risk model) was constructed based on 7 NAS-related genes which was demonstrated as an independent prognostic index. The low-risk group was identified to have a better prognosis and an immune-activated microenvironment in both the public datasets and our dataset. Intriguingly, mIHC data showed that CD45+ immune cells, CD8+ T lymphocytes, and CD68+ macrophages were prevalently enriched in low-risk SCLC patients and positively correlated with IRF1 expression. Additionally, Patients in the low-risk group might have superior responses to chemotherapy and immunotherapy.ConclusionConclusively, this study created a new risk model based on genes associated with NAS pathways which could predict the prognosis and response of treatment in patients with SCLC.</p

A–D

<p>The effect of octreotide on nNOS and CHAT immunoreactive myenteric neurons after ANP. A significant decrease in the number of nNOS immunoreactive cells per myenteric ganglia was evident in all of ANP+saline groups and ANP+octreotide groups, when compared to their controls (for 24 h, 48 h, 72 h, all <i>P</i> = .000, not shown; n = 6). The numbers of nNOS immunoreactive cells in the ANP+octreotide groups were much higher than in the corresponding ANP+saline groups at 24 h and 48 h (24 h, **, <i>P</i> = .003; 48 h,**, <i>P</i> = .0046; n = 6; <i>A, C</i>). The CHAT immunoreactive cells per myenteric ganglia significantly decreased in the ANP+saline groups at 3 time points (24 h, <i>P</i> = .000; 48 h, <i>P</i> = .000; 72 h, <i>P</i> = .005; n = 6; <i>B,D</i>) and in the ANP+octreotide groups at 24 h and 48 h (24 h, <i>P</i> = .000; 48 h, <i>P</i> = .000; n = 6; <i>B,D</i>) compared with their control. The numbers of CHAT neurons in the ANP+octreotide groups were observed to be higher than in the ANP+saline groups at 24 h and 48 h (24 h, *, <i>P</i> = .034; 48 h, *, <i>P</i> = .024; n = 6; <i>B,D</i>). Data are expressed as means ± SEM. (*, <i>P</i><.05; **, <i>P</i><.01). <b>E</b> The effect of octreotide on PGP9.5 and SSTR₂ immunoreactive myenteric neurons 24 h after ANP. <i>E</i> shows the disruption of the myenteric nerve network stained with PGP9.5 in the ANP+saline rats at 24 h. However, the disruption of myenteric ganglia in the ANP+octreotide group appeared to be ameliorated. There was a significant increase in the number of SSTR₂-positive cells in the ANP+saline rats (*<i>P</i> = .024; n = 6, <i>F</i>) and ANP+octreotide at 24 h (**<i>P</i> = .008; n = 6, <i>F</i>), compared to the control+saline, respectively. No difference in the numbers of SSTR₂-positive cells between the ANP+saline and ANP+octreotide groups (<i>P</i>>.05, n = 6, <i>F</i>). The staining intensity for SSTR₂ was increased and the diameter of SSTR₂-positive cells in the ANP+octreotide group was smaller than in the control group. Data are expressed as means ± SEM. (*, <i>P</i><.05; **, <i>P</i><.01).</p

Western blot analysis of nNOS and CHAT.

<p><i>A</i> shows relative protein expression of nNOS obtained by densitometric analysis normalized to GAPDH. The predicted molecular weights are indicated by arrows. A drastic difference in protein expression of nNOS between the ANP+saline and ANP+octreotide groups was observed at 48 h (**; <i>P</i> = .001; n = 5, <i>C</i>). The molecular weight of the lower band corresponds well with the molecular weight of nNOS-ß, a splice variant of nNOS (Ld: protein ladder). <i>B</i> shows representative images from CHAT and GAPDH blots. The reduction of the CHAT-IR band density in the ANP+saline rats was more evident than in the ANP+octreotide rats at 24 h, ( <i>P</i> = .057; n = 5, <i>D</i>). Data are expressed as means ± SEM. (*, <i>P</i><.05; **, <i>P</i><.01).</p

The effect of octreotide on spontaneous contractions of small intestine from ANP rats.

<p>The contractile activities were normal in control rats, but were abnormal and variable in ANP rats (<i>A</i>). The tendency of decline in amplitude of spontaneous ileal contractions of ANP+saline rats at 48 h was considered to be significant, compared with that in the control+saline rats(*; <i>P</i> = .015; n = 8; <i>B</i>). Compared with the corresponding ANP+saline group, the amplitude of contractions at 24 h and 48 h were significantly higher in the ANP+octreotide groups (24 h, **, <i>P</i> = .001; 48 h, *, <i>P</i> = .028; n = 8; <i>B</i>). No difference was observed between the 2 groups at the 72 h (<i>P</i>>.05, <i>B</i>). Data are expressed as means ± SEM. (*, <i>P</i><.05; **, <i>P</i><.01).</p

Table_1_Nucleic acid-sensing-related gene signature in predicting prognosis and treatment efficiency of small cell lung cancer patients.docx

IntroductionNucleic acid-sensing (NAS) pathways could induce innate and adaptive immune responses. However, rare evidence exhibited how the core genes of the NAS pathways affected the immune response and prognosis of small cell lung cancer (SCLC) patients.MethodsWe conducted a comprehensive bioinformatic analysis based on the RNA profiles of 114 SCLC patients, including 79 from cBioPortal, 21 from GSE30219, and 14 from our sequencing data. The multiplex immunohistochemistry (mIHC) was used to characterize the role of NAS related genes in the tumor microenvironment (TME) of SCLC.ResultsA prognostic model (7NAS risk model) was constructed based on 7 NAS-related genes which was demonstrated as an independent prognostic index. The low-risk group was identified to have a better prognosis and an immune-activated microenvironment in both the public datasets and our dataset. Intriguingly, mIHC data showed that CD45+ immune cells, CD8+ T lymphocytes, and CD68+ macrophages were prevalently enriched in low-risk SCLC patients and positively correlated with IRF1 expression. Additionally, Patients in the low-risk group might have superior responses to chemotherapy and immunotherapy.ConclusionConclusively, this study created a new risk model based on genes associated with NAS pathways which could predict the prognosis and response of treatment in patients with SCLC.</p

7 Supplementary Tables from Krüppel-like Factor 4 Suppresses Serine/Threonine Kinase 33 Activation and Metastasis of Gastric Cancer through Reversing Epithelial–Mesenchymal Transition

7 Supplementary Tables: Supplementary Table S1. Clinicopathologic characteristics of the 625 GC patients from whom the TMA specimens were obtained Supplementary Table S2. Clinicopathologic characteristics of the 45 GC patients from whom the TMA specimens were obtained Supplementary Table S3. The sequences of the gene-specific primers used in real-time PCR analysis, vector constructs, and ChIP analysis Table S4. Expression of STK33 in Normal Mucosa, Intraepithelial Neoplasia and Gastric Cancer Table S5. Relation between STK33 Expression and Clinicopathological Parameters in Patients with Gastric Cancer Table S6. Univariate Cox Regression Analysis of Factors Associated With Overall Survival in Gastric Cancer Patients Table S7. Multivariate Cox Regression Analysis Of Factors Associated With Overall Survival in Gastric Cancer Patients</p

Table_2_The status quo of short videos as a health information source of Helicobacter pylori: a cross-sectional study.DOCX

BackgroundHealth education about Helicobacter pylori (H. pylori) is one of the most effective methods to prevent H. pylori infection and standardize H. pylori eradication treatment. Short videos enable people to absorb and remember information more easily and are an important source of health education. This study aimed to assess the information quality of H. pylori-related videos on Chinese short video-sharing platforms.MethodsA total of 242 H. pylori-related videos from three Chinese short video-sharing platforms with the most users, TikTok, Bilibili, and Kwai, were retrieved. The Global Quality Score (GQS) and the modified DISCERN tool were used to assess the quality and content of videos, respectively. Additionally, comparative analyzes of videos based on different sources and common H. pylori issues were also conducted.ResultsThe median GQS score and DISCERN score was 2 for H. pylori-related videos analyzed in this study. Non-gastroenterologists posted the most H. pylori-related videos (136/242, 56.2%). Videos from gastroenterologists (51/242, 21.0%) had the highest GQS and DISCERN scores, with a median of 3. Few videos had content on family-based H. pylori infection control and management (5.8%), whether all H. pylori-positive patients need to undergo eradication treatment (27.7%), and the adverse effects of H. pylori eradication therapy (16.1%).ConclusionGenerally, the content and quality of the information in H. pylori-related videos were unsatisfactory, and the quality of the video correlated with the source of the video. Videos from gastroenterologists provided more correct guidance with higher-quality information on the prevention and treatment of H. pylori infection.</p

9 Supplementary Figures from Krüppel-like Factor 4 Suppresses Serine/Threonine Kinase 33 Activation and Metastasis of Gastric Cancer through Reversing Epithelial–Mesenchymal Transition

9 Supplementary Figures: Supplementary Figure S1. Immunohitochemical analysis of STK33 in TMAs of gastric cancer tissue specimens with different differentiation grade. Supplementary Figure S2. Estimates of OS and DFS of gastric cancer patients from GSE66229 (N=300). Supplementary Figure S3. STK33 expression patterns in human gastric cancer tissues and cell lines. Supplementary Figure S4. Effect of altered STK33 expression on gastric cancer metastasis and EMT. Supplementary Figure S5. Effect of altered STK33 expression on gastric cancer growth in vitro and in vivo. Supplementary Figure S6. Identification of STK33 as a downstream target gene of KLF4. Supplementary Figure S7. KLF4 negatively regulated STK33-induced invasion and EMT. Supplementary Figure S8. Identification of transcriptional inhibition on STK33 expression by KLF4 in pancreatic cancer cells. Supplementary Figure S9. STK33 kinase inhibitor BRD-8899 failed to inhibit STK33-induced cell proliferation, migration and invasion in GC.</p