Aitongping patch could alleviate cancer pain via suppressing microglia activation and modulating the miR-150-5p/CXCL12 signaling.

PURPOSE: We aimed to investigate the pharmacological effects and mechanisms of the Aitongping formula for treating cancer pain. METHODS: We enrolled 60 cancer patients with Numeric Rating Scale above 4 and grouped them randomly as a Control group (N = 30) and a Patch group (N = 30). We also established bone cancer mice models via tumor implantation. And the animal groups were established as a Sham group, a tumor cell implantation (TCI) group, a TCI + Patch group, and a Patch group. RESULTS: After the validation of successful tumor implantation, we identified candidate miRNAs and genes that were dysregulated in TCI mice and compared their expressions between different mice groups. We also observed the effect of Aitongping patch in vitro in mice primary microglia. The time to disease progression and cancer stability were prolonged by Aitongping patch in cancer patients. And the daily morphine dose was lower, and patients' quality of life was improved in the Patch group. Moreover, Aitongping patch alleviated cancer pain and inhibited microglia activation after the successful implantation of bone tumor in TCI mice. We also observed the dysregulation of miR-150-5p and chemokine CXC motif ligand 12 (CXCL12) mRNA in TCI mice. And CXCL12 was found to be targeted by miR-150-5p. Aitongping patch was found to upregulate miR-150-5p and downregulate CXCL12 in vivo and in vitro. CONCLUSION: Aitongping patch could alleviate cancer pain via suppressing microglia activation, and the downregulation of miR-150-5p, as well as the upregulation of CXCL12 mRNA and protein, induced by tumor implantation or lipopolysaccharide stimulation, was restored by Aitongping treatment.

Elucidation of the Anti-Lung Cancer Mechanism of Xiao'ai Jiedu Prescription Based on Network Pharmacology and Molecular Docking.

Objective: Network pharmacology is an emerging discipline that applies computational methods to understand drug actions and interactions with multiple molecular targets. Xiao'ai Jiedu is a valued traditional Chinese medicine preparation for which the mechanism of action is not yet established. This study aims to explore the mechanism of Xiao'ai Jiedu in treating lung cancer through network pharmacology. Methods: First, the Traditional Chinese Medicine Systems Pharmacology (TCMSP) data platform was used to analyze the target treatment results of different medicinal materials in Mr. Zhou's cancer prescriptions. Then, functional enrichment analysis was performed to conduct a secondary analysis of the dissemination of cancer biological and pharmacological information in the human body. The Cancer Genome Atlas (TCGA) was used to obtain several cancer-aggressive target groups, and their transcription RNA was extracted for collection. The CIBERSORT evaluation method was used to conduct a Spearman correlation analysis on the data processing results. Then the matching degree between the experimental cells and the principle of drug treatment was analyzed to improve the statistical analysis. Results: Pharmacology research results showed that the network can accurately eliminate cancer detoxification targeted target correlation set, and through the data interpretation found that four different gene transcription have significant influence on lung cancer. The findings also confirmed that the degree of immune cell infiltration has a key role in lung cancer The study summarizes the active ingredients and their targets and mechanisms of action of the elimination of Xiao'ai Jiedu formula for the treatment of lung cancer. Conclusion: Network pharmacology can carry on the processing of the data, find the key to conform to the goal of research data, and the corresponding results are obtained, and the development of network pharmacology is not limited to, the study of lung cancer.

[Exploration of cancer biological characteristics in people with different five movements and six climates constitution based on pan-cancer Bulk RNA-Seq].

According to the theory of five movements and six climates, the innate constitution plays a crucial role in determining the underlyingpa thological mechanisms of diseases later in life. Previous studies have demonstrated a close association between the constitution, as defined by the theory of five movements and six climates, and the development of various types of tumors. Furt hermore,the tumorsubtype determined by the constitution has prognostic implications. This highlights the potential of utilizing the fivemovements and six climates theory to guide the implementation of precision medicine strategies in thefield of oncology. However, no resear ch has yet been conducted to investigate the use of this theory in guiding the development of tumor molecular classification and precisi onmedicine strategies. The objective of this research is to uncover the biological characteristics of each constitution within a pancanc ercohort and identify potential anti-tumor drugs that are applicable to patients with different constitutional types. By doing so, we aimto c ontribute to the establishment of a precision medicine strategy for tumors derived from the original concepts of traditional Chi nesemedicine(TCM). In this study, we obtainedpan-cancer Bulk RNA-Seq data from UCSC Xena, GWAS cohort data from the UKBiobank, and cis-eQTLs data from eQ TLGen and GTEx V8. We employed machine learning methods to screen for hub genes associated with each constitution. Subsequently, we utilized informatics tools to explore the biological characteristics of each constitut iondefined by the theory of five movements and six bioclimates. Further, potential anti-tumor drugs suitable for patients with differen tconstitutional types were identified through mendelian randomization, molecular docking, and drug-like prediction techniques. Withinthe pan-cancer cohort, significant differences were observed among different constitutions in terms of progression-free interval, biological f unctions, immune cell abundance, tumor drug sensitivity, and immunotherapy response. These findings suggest that the five movements and six climates theory can guide tumor molecular classification and the development of precision medicine strategies. Moreover,the biological characteristics inherent to each constitution partially shed light on the scientific implications of Chinese medicinetheories, offering a fresh perspective towards clinical cancer treatment. Through molecular docking and drug-like prediction, several po tential anti-tumor drugs such as 17-beta-estradiol, serotonin, trans-resveratrol, and linoleic acid were identified. Overall, the util izationof multi-omics approaches pro vides a powerful tool to unravel the scientific foundations of TCM theories. The elucidation of themu lti-omics features associated witheach constitution in tumors serves as the basis for applying the five movements and six climates theoryto tumor molecular classification and the development of precision medicine strategies.

Exploration of molecular mechanism underlying protective effect of astragaloside IV against radiation-induced lung injury by suppressing ferroptosis.

In this study, we aimed to investigate the pharmacological effects and underlying mechanisms of astragaloside IV (AS IV) against radiation-induced lung injury. We established experimental models of radiation-induced lung injury and observed the effect of AS IV on cell viability, cell death, inflammatory responses and ferroptosis. Accordingly, we found that AS IV restored the suppressed cell viability and promoted cell death induced by X-ray irradiation. Moreover, radiation-induced up-regulation of lactate dehydrogenase (LDH) release, ferroptosis, reactive oxygen species (ROS) and inflammatory responses were also restored by AS IV in a dose-dependent manner. Besides, in radiation-induced lung injury C57BL/6 mice, AS IV evidently alleviated lung injury and promoted the survival rate of lung-injured mice. And the ferroptosis level in mice lung tissues were also alleviated by the administration of AS IV in a dose-dependent manner. As a conclusion, by comparing the changes of ferroptosis, ROS and inflammatory responses in the experimental models, we validated that AS IV could inhibit inflammatory responses and cell injury in the treatment of radiation-induced lung injury by suppressing ferroptosis. This finding not only find potentially effective treatments to mitigate radiation-induced lung injury, but also provides supporting evidence for clinical application of AS IV to improve the management of radiation-treated patients and minimize the associated lung complications or other adverse effects. Moreover, as inflammation and ROS are key contributors to tissue damage in various diseases, our study suggested the potential application of AS IV in the treatments for other diseases.

6-Gingerol inhibits proliferation in gastric cancer via the STAT3 pathway in vitro.

With high incidence and mortality, gastric cancer seriously threatened human's life. It is arduous and necessary to investigate its pathogenesis and dig effective drugs. In this study, we explored the role of 6-Gingerol (GI), a natural active ingredient, in treating gastric cancer cells. MTT assay and colony formation assay were utilized to confirmed that GI can control the proliferation of gastric cancer cells, which is time and concentration-dependent to some extent. The Annexin V-FITC/PI staining results by flow cytometry reveal that GI induces the apoptosis of gastric cancer cells. And a study on further pathways by western blot shows that GI brings about cell apoptosis by inhibiting the activation of STAT3. GI therefore may be a good candidate for treating gastric cancer.

Xiaoai Jiedu Recipe Inhibits Proliferation and Metastasis of Non-Small Cell Lung Cancer Cells by Blocking the P38 Mitogen-Activated Protein Kinase (MAPK) Pathway.

BACKGROUND Lung cancer is the leading cause of cancer deaths in the world. Its major histopathological subtype is non-small cell lung cancer (NSCLC). Xiaoai Jiedu recipe (XJR) is a traditional Chinese medicine formula that can suppress growth and invasion of tumor cells. Here, we assessed the antitumor effect of XJR on NSCLC explored the underlying mechanisms. MATERIAL AND METHODS Three concentrations of XJR (low, middle, and high) were used to treat A549 cells. Cell Counting Kit-8 and colony formation assay were used to measure proliferation of A549 cells. Apoptosis was evaluated by Hoechst 33342 staining and flow cytometry. The expression of apoptosis-associated proteins was measured by Western blot analysis. Transwell and scratch wound healing assay were used to assess invasion and migration, respectively, of A549 cells. The expression of p38 MAPK pathway-associated proteins were measured using Western blot analysis. RESULTS XJR suppressed proliferation and promoted apoptosis of A549 cells, especially in the high-dose group. The expression of Bcl-2 was reduced with increasing expression of Bax, cleaved caspase-3, and cleaved caspase-9. Invasion and migration abilities of A549 cells were inhibited after XJR treatment. XJR treatment decreased the expression levels of phosphorylated p38 (p-p38), p-ERK, and p-JNK in a dose-dependent manner. CONCLUSIONS The results demonstrated that XJR can inhibit proliferation, invasion, and migration, and induce apoptosis of NSCLC by blocking the p38 MAPK pathway, which shows the potential of XJR as a new treatment of NSCLC.

Luteolin Inhibits Tumorigenesis and Induces Apoptosis of Non-Small Cell Lung Cancer Cells via Regulation of MicroRNA-34a-5p.

Luteolin (LTL) exerts remarkable tumor suppressive activity on various types of cancers, including non-small cell lung cancer (NSCLC). However, it is not completely understood whether the mechanism of its action against NSCLC is related to microRNAs (miRNAs). In the present study, we investigated the anti-tumor effects of LTL on NSCLC in vitro and in vivo. The results revealed that LTL could inhibit cell proliferation and induce apoptosis in both A549 and H460 cells. In a H460 xenograft tumor model of nude mice, LTL significantly suppressed tumor growth, inhibited cell proliferation, and induced apoptosis. miRNA microarray and quantitative PCR (qPCR) analysis indicated that miR-34a-5p was dramatically upregulated upon LTL treatment in tumor tissues. Furthermore, MDM4 was proved to be a direct target of miR-34a-5p by luciferase reporter gene assay. LTL treatment was associated with increased p53 and p21 protein expressions and decreased MDM4 protein expression in both NSCLC cells and tumor tissues. When miR-34a-5p was inhibited in vitro, the protein expressions of Bcl-2 and MDM4 were recovered, while that of p53, p21, and Bax were attenuated. Moreover, caspase-3 and caspase-9 activation induced by LHL treatment in vitro were also suppressed by miR-34a-5p inhibition. Overall, LTL could inhibit tumorigenesis and induce apoptosis of NSCLC cells by upregulation of miR-34a-5p via targeting MDM4. These findings provide novel insight into the molecular functions of LTL that suggest its potential as a therapeutic agent for human NSCLC.

Bioinformatics analysis to identify action targets in NCI-N87 gastric cancer cells exposed to quercetin.

CONTEXT: Quercetin exerts antiproliferative effects on gastric cancer. However, its mechanisms of action on gastric cancer have not been comprehensively revealed. OBJECTIVE: We investigated the mechanisms of action of quercetin against gastric cancer cells. MATERIALS AND METHODS: Human NCI-N87 gastric cancer cells were treated with 15 µM quercetin or dimethyl sulfoxide (as a control) for 48 h. DNA isolated from cells was sequenced on a HiSeq 2500, and the data were used to identify differentially expressed genes (DEGs) between groups. Then, enrichment analyses were performed for DEGs and a protein-protein interaction (PPI) network was constructed. Finally, the transcription factors (TFs)-DEGs regulatory network was visualized by Cytoscape software. RESULTS: A total of 121 DEGs were identified in the quercetin group. In the PPI network, Fos proto-oncogene (FOS, degree = 12), aryl hydrocarbon receptor (AHR, degree = 12), Jun proto-oncogene (JUN, degree = 11), and cytochrome P450 family 1 subfamily A member 1 (CYP1A1, degree = 11) with higher degrees highly interconnected with other proteins. Of the 5 TF-DEGs, early growth response 1 (EGR1), FOS like 1 (FOSL1), FOS, and JUN were upregulated, while AHR was downregulated. Moreover, FOSL1, JUN, and Wnt family member 7B (WNT7B) were enriched in the Wnt signaling pathway. DISCUSSION AND CONCLUSIONS: CYP1A1 highly interconnected with AHR in the PPI network. Therefore, FOS, AHR, JUN, CYP1A1, EGR1, FOSL1, and WNT7B might be targets of quercetin in gastric cancer.

Effects of the Notch1 signaling pathway on human lung cancer A549 cells.

PURPOSE: To evaluate the effects of the Notch1 signaling pathway on human lung cancer A549 cells. MATERIALS AND METHODS: A549 cells were transfected with recombinant plasmids. Cell proliferation was detected by MTT assay. A tumor-bearing mouse model was established for intratumoral gene injection. Apoptosis-related factors were detected by immunohistochemical assay. Caspase-8, caspase-3, caspase-9, PI3K, pAkt and pSTAT3 expressions were detected by Western blotting. RESULTS: Compared with A549-GFP and A549 cells, A549-ICN cell growth in mice decelerated, tumor volume significantly reduced (p < 0.01), and survival time significantly increased (p < 0.05). Cyclin E and phosphorylated Rb protein expressions were significantly down-regulated. Compared with control, apoptosis-related protein Bcl-2 expression in tumors injected with Notch1 gene was significantly inhibited. After Deltex1 transfection, A549 cell proliferation decelerated, growth was significantly inhibited (p < 0.05), and survival time was significantly extended (p < 0.05). Cyclin E and mutant p53 protein expressions in tumors were down-regulated, phosphorylated Rb expression was almost completely inhibited, and Bcl-2 expression was significantly inhibited. TNF-α-related apoptosis-inducing ligand (TRAIL) inhibited A549-ICN cell growth time- and dose-dependently. After treatment for 24 h or longer, TRAIL induced apoptosis of more A549-ICN cells. Cleaved caspase-3 and cleaved caspase-9 were detected only in A549-ICN cells after 6 h of 40 ng/mL TRAIL treatment, but cleaved caspase-8 was not detected. Combining Notch1 signal with TRAIL inhibited PI3K, phosphorylated Akt and phosphorylated STAT3 expressions. CONCLUSION: The Notch1 signaling pathway may inhibit A549 cell growth in vitro and in vivo by regulating cell cycle-related and anti-apoptotic protein expressions. Notch1 activation also suppressed A549 cell apoptosis by inhibiting the PI3K/pAkt pathway and activating the caspase-3 pathway in cooperation with TRAIL.

Maimendong and Qianjinweijing Tang combined with cisplatin suppressed lung cancer through targeting lncRNA-p21.

ETHNOPHARMACOLOGICAL RELEVANCE: Maimendong and Qianjinweijing Tang (Jin formula) is a traditional Chinese medicine formula that has been proven effective in the treatment of lung cancer in long-term clinical practice. AIM OF THE STUDY: To evaluate the anti-tumor effects of Jin formula combined with cisplatin (JIN + DDP) in vivo and in vitro, as well as to explore the role of long non-coding RNA (lncRNA) in the anti-lung cancer mechanism of its action. MATERIALS AND METHODS: A Lewis lung cancer model was established in C57 BL/6 mice to study the in vivo anti-tumor effect of Jin formula combined with cisplatin. TUNEL staining and western blot were applied to study the effects of Jin formula combined cisplatin on apoptosis. The in vitro anti-cancer function of Jin formula combined with cisplatin was explored by cell viability assay, flow cytometry, wound healing assay and transwell assay. The changes in lncRNA expression profiles were determined by lncRNA microarray, and the differentially expressed lncRNA-p21 was verified by quantitative reverse-transcription polymerase chain reaction (qRT-PCR) analysis. The expression differences of lncRNA-p21 in tumor and normal tissues were analyzed by bioinformatics, and the expression differences of lncRNA-p21 in tumor cells and normal cells were detected by qRT-PCR. The role of lncRNA-p21 in the anti-cancer effect of Jin formula combined cisplatin was investigated by knockdown or overexpression of lncRNA-p21 and a series of cell experiments. The expression of MAPK pathway-related proteins was analyzed by western blot. RESULTS: Jin formula combined with cisplatin (JIN + DDP) can suppress tumor growth and promote apoptosis in Lewis lung cancer mouse model. LncRNA-p21 was significantly up-regulated in the JIN and JIN + DDP groups, and the expression of lncRNA-p21 in lung cancer tissues and cells was lower than that in normal tissues and cells. In vitro, JIN + DDP significantly induced apoptosis and inhibited the proliferation, migration, and invasion of H460 and H1650 lung cancer cells. The above effects can be enhanced by the overexpression of lncRNA-p21 and eliminated by knock-down of lncRNA-p21. Further studies revealed that JIN + DDP inhibited the expression of mitogen-activated protein kinase (MAPK) pathway-related proteins, whereas knock-down of lncRNA-p21 abrogated the inhibition of the MAPK signaling pathway. CONCLUSIONS: This study showed that Jin formula combined with cisplatin could effectively inhibit the progression of lung cancer partially through targeting lncRNA-p21.

[Corrigendum] Ophiopogonin B suppresses the metastasis and angiogenesis of A549 cells in vitro and in vivo by inhibiting the EphA2/Akt signaling pathway.

Subsequently to the publication of the above article, an interested reader drew to the authors' attention that, for the scratch­wound assay experiments shown in Fig. 3C, two images appeared to overlap [specifically, the '0 h / Control' and 0 h / OP­B (5 µmol/l) data panels], albeit with different magnification and after a 180° rotation. The authors have examined their original data, and realize that an inadvertent error was made in assembling the images in the figure; specifically, the images of 5 and 10 µmol/l OP­B treatment for 0 h were both misused. The corrected version of Fig. 3, showing all the correct data for Fig. 3C, is shown on the next page. Note that these errors did not affect the overall conclusions reported in the paper. All the authors agree with the publication of this corrigendum, and are grateful to the Editor of Oncology Reports for allowing them the opportunity to publish this. They also apologize to the readership for any inconvenience caused. [Oncology Reports 40: 1339­1347, 2018; DOI: 10.3892/or.2018.6531].

[Effect of xiaoai jiedu recipe on gene expression profiles in H22 tumor-bearing mice].

OBJECTIVE: To explore the mechanism of Xiaoai Jiedu Recipe (XJR) for fighting against tumors by detecting tumor gene expression profiles of H22 tumor-bearing mice. METHODS: H22 tumor-bearing mice were randomly divided into the normal control group, the low dose XJR group, the medium dose XJR group, the high dose XJR group, and the Cisplatin group. The differentially expressed genes of tumor tissues in H22 tumor-bearing mice were detected by using gene chip technique. The antitumor mechanism of XJR associated signaling pathways and gene expressions were found out by pathway analysis. The chemokine signaling pathways were analyzed. RESULTS: XJP could significantly affect multiple signaling pathways associated with tumor growth, apoptosis, and immunity. XJP also could decrease expressions of CCL3 and CXCL2 in the chemokine signaling pathway. CONCLUSION: XJP could inhibit the growth and invasion of tumor cells possibly by affecting expressions of some genes in the chemokine signaling pathway.

[Systems biology is a bridge of integrated traditional Chinese and Western medicine].

The integration of Chinese medicine (CM) and Western medicine (WM) is the only way for the development of medicine, and it is the best form for unifying systems theory and reductionism. In this paper, systems biology and its application in medical research were discussed. The authors put forward that systems biology may possibly interpret the scientific connotation of the complex theoretic systems of CM, which will make WM to well know the human body and disease. We hold that systems biology is a bridge of integrated CM and WM.

Noninvasive radiomic analysis of enhanced CT predicts CTLA4 expression and prognosis in head and neck squamous cell carcinoma.

Developing a radiomic model to predict CTLA4 expression levels and assessing its prognostic accuracy for patients. Medical imaging data were sourced from the TCIA database, while transcriptome sequencing data were derived from the TCGA database. We utilized a linear kernel SVM algorithm to develop a radiomic model for predicting CTLA4 gene expression. We then assessed the model's clinical relevance using survival and Cox regression analyses. Performance evaluations of the model were illustrated through ROC, PR, calibration, and decision curves. (1) Bioinformatics analysis: Kaplan-Meier curves indicated that increased CTLA4 expression correlates with enhanced overall survival (OS) (p < 0.001). Both univariate and multivariate analyses revealed that high CTLA4 expression served as a protective factor for OS (HR = 0.562, 95% CI 0.427-0.741, p < 0.001). (2) Radiomics evaluation: the ROC curve demonstrated that the AUC for the SVM radiomics model was 0.766 in the training set and 0.742 in the validation set. The calibration curve affirmed that the model's prediction probability for high gene expression aligns with the actual outcomes. Furthermore, decision curve analysis (DCA) indicated that our model boasts robust clinical applicability. CTLA4 expression level serves as an independent prognostic factor for HNSCCs. Using enhanced CT images, the SVM radiomic model effectively predicts CTLA4 expression levels. As a result, this model offers strong prognostic insights for HNSCCs, guiding precise diagnosis, treatment, and assisting in clinical decision-making.

A Network Pharmacology Approach for Uncovering the Mechanism of 'Kouchuangling' in Radiation-induced Oral Mucositis Treatment.

BACKGROUND: Radiation-induced oral mucositis (RIOM) is an intractable inflammatory disease whose pathogenesis needs to be clarified. "Kouchuangling" (KCL), a traditional Chinese medicine formula, is composed of Lonicerae Japonicae Flos, Radix Paeoniae Rubra, and Radix Sanguisorbae. Although all of them are Chinese folk medicines which have long been utilized for ameliorating inflammation, the mechanism of KCL to RIOM remains unclear. PURPOSE: To predict the active ingredients of KCL and identify the mechanism of KCL on RIOM. MATERIALS AND METHODS: We identified the chemical ingredients in KCL using TCM Systems Pharmacology (TCMSP), TCM@Taiwan, PubChem, and SuperPred databases and used the oral bioavailability (OB), drug-like properties (DL) and Degree of compounds for screening. Targets for oral mucositis were obtained from the Online Mendelian Inheritance in Man (OMIM), Therapeutic Target Database (TTD), PharmGKB, and DrugBank databases. Cytoscape 3.7.0 was used to visualize the compound-target-disease network for KCL and RIOM. The biological processes of target gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were analyzed using DAVID. RESULTS: Based on OB≥30%, DL≥0.18 and Degree≥3, 24 active ingredients and 960 targets on which the active components acted were identified. A total of 1387 targets for oral mucositis were screened. GO enrichment and KEGG pathway analyses resulted in 43 biological processes (BPs), 3 cell components (CCs), 5 molecular functions (MFs), and 32 KEGG pathways, including leishmaniasis, Toll-like receptor signaling, TNF signaling, and Influenza A pathways. CONCLUSION: This experiment preliminarily verified that the active ingredients of KCL play a role in the treatment of RIOM through multiple targets and pathways, providing a reference for further study of the pharmacological mechanism of Chinese herbal medicine.

Banxia Xiexin Decoction Prevents HT22 Cells From High Glucose-Induced Neurotoxicity via JNK/SIRT1/Foxo3a Signaling Pathway.

BACKGROUND: Type 2 diabetes-associated cognitive dysfunction (DCD) is a chronic complication of diabetes that has gained international attention. The medicinal compound Banxia Xiexin Decoction (BXXXD) from traditional Chinese medicine (TCM) has shown potential in improving insulin resistance, regulating endoplasmic reticulum stress (ERS), and inhibiting cell apoptosis through various pathways. However, the specific mechanism of action and medical value of BXXXD remain unclear. METHODS: We utilized TCMSP databases to screen the chemical constituents of BXXXD and identified DCD disease targets through relevant databases. By using Stitch and String databases, we imported the data into Cytoscape 3.8.0 software to construct a protein-protein interaction (PPI) network and subsequently identified core targets through network topology analysis. The core targets were subjected to Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. The results were further validated through in vitro experiments. RESULTS: Network pharmacology analysis revealed the screening of 1490 DCD-related targets and 190 agents present in BXXXD. The topological analysis and enrichment analysis conducted using Cytoscape software identified 34 core targets. Additionally, GO and KEGG pathway analyses yielded 104 biological targets and 97 pathways, respectively. BXXXD exhibited its potential in treating DCD by controlling synaptic plasticity and conduction, suppressing apoptosis, reducing inflammation, and acting as an antioxidant. In a high glucose (HG) environment, the expression of JNK, Foxo3a, SIRT1, ATG7, Lamp2, and LC3 was downregulated. BXXXD intervention on HT22 cells potentially involved inhibiting excessive oxidative stress, promoting neuronal autophagy, and increasing the expression levels of JNK, SIRT1, Foxo3a, ATG7, Lamp2, and LC3. Furthermore, the neuroprotective effect of BXXXD was partially blocked by SP600125, while quercetin enhanced the favorable role of BXXXD in the HG environment. CONCLUSION: BXXXD exerts its effects on DCD through multiple components, targets, levels, and pathways. It modulates the JNK/SIRT1/Foxo3a signaling pathway to mitigate autophagy inhibition and apoptotic damage in HT22 cells induced by HG. These findings provide valuable perspectives and concepts for future clinical trials and fundamental research.

Cuproptosis-related lncRNAs predict prognosis and immune response of thyroid carcinoma.

Objective: To estimate the survival and prognosis of patients with thyroid carcinoma (THCA) based on the Long non-coding RNA (lncRNA) traits linked to cuproptosis and to investigate the connection between the immunological spectrum of THCA and medication sensitivity. Methods: RNA-Seq data and clinical information for THCA were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We built a risk prognosis model by identifying and excluding lncRNAs associated with cuproptosis using Cox regression and LASSO methods. Both possible biological and immune infiltration functions were investigated using Principal Component Analysis (PCA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and immunoassays. The sensitivity of the immune response to possible THCA medicines was assessed using ratings for tumor immune dysfunction and exclusion (TIDE) and tumor mutational burden (TMB). Results: Seven cuproptosis-related lncRNAs were used to construct our prognostic prediction model: AC108704.1, DIO3OS, AL157388.1, AL138767.3, STARD13-AS, AC008532.1, and PLBD1-AS1. Using data from TCGA's training, testing, and all groups, Kaplan-Meier and ROC curves demonstrated this feature's adequate predictive validity. Different clinical characteristics have varying effects on cuproptosis-related lncRNA risk models. Further analysis of immune cell infiltration and single sample Gene Set Enrichment Analysis (ssGSEA) supported the possibility that cuproptosis-associated lncRNAs and THCA tumor immunity were closely connected. Significantly, individuals with THCA showed a considerable decline in survival owing to the superposition effect of patients in the high-risk category and high TMB. Additionally, the low-risk group had a higher TIDE score compared with the high-risk group, indicating that these patients had suboptimal immune checkpoint blocking responses. To ensure the accuracy and reliability of our results, we further verified them using several GEO databases. Conclusion: The clinical and risk aspects of cuproptosis-related lncRNAs may aid in determining the prognosis of patients with THCA and improving therapeutic choices.

Overview of research progress and application of experimental models of colorectal cancer.

Colorectal cancer (CRC) is the third most common malignancy in terms of global tumor incidence, and the rates of morbidity and mortality due to CRC are rising. Experimental models of CRC play a vital role in CRC research. Clinical studies aimed at investigating the evolution and mechanism underlying the formation of CRC are based on cellular and animal models with broad applications. The present review classifies the different experimental models used in CRC research, and describes the characteristics and limitations of these models by comparing the research models with the clinical symptoms. The review also discusses the future prospects of developing new experimental models of CRC.

DNAH7 mutations benefit colorectal cancer patients receiving immune checkpoint inhibitors.

Background: Colorectal cancer (CRC) is a malignant tumor associated with a high mortality rate. While the advent of immune checkpoint inhibitors (ICIs) has been a gamechanger, only a small percentage of CRC patients benefit from ICIs. The pathological mechanism of CRC is not well understood, but somatic mutations, especially missense mutations, are believed to play an important role. This study examined the relationship between ICIs in colorectal cancer and missense mutations in the axonemal dynein heavy chain gene 7 (DNAH7). Methods: A clinical cohort (n=690) and the CRC data from the publicly available Cancer Genome Atlas (TCGA) were examined. Gene Set Enrichment Analysis, ESTIMATE analysis, and clinical correlation analysis were performed to explore the effects and mechanisms of DNAH7 mutation on immunotherapy in colorectal cancer. Results: The results showed that CRC patients with DNAH7 mutations can benefit more from ICIs (P<0.05). Patients with DNAH7 mutation had higher ESTIMATE scores, immune scores, and matrix scores, compared to patients without the DNAH7 mutation (P<0.001). The transport of small molecules, keratinization, asthma, autoimmune thyroid disease, allograft rejection, and other pathways were significantly enriched in DNAH7 mutated tissues (P<0.05). The top key genes associated with the DNAH7 mutation included AQP8, MS4A12, GUCA2B, and ZG16 (P<0.01). Conclusions: The current study not only demonstrated the significance of DNAH7 as a risk factor and prognostic feature in CRC, but also revealed that DNAH7 mutations might affect the clinical efficacy of ICIs by impacting the tumor immune microenvironment.

Improved Rodent Model of Myocardial Ischemia and Reperfusion Injury.

Myocardial ischemia and reperfusion injury (MIRI), induced by coronary heart disease (CHD), causes damage to the cardiomyocytes. Furthermore, evidence suggests that thrombolytic therapy or primary percutaneous coronary intervention (PPCI) does not prevent reperfusion injury. There is still no ideal animal model for MIRI. This study aims to improve the MIRI model in rats to make surgery easier and more feasible. A unique method for establishing MIRI is developed by using a soft tube during a key step of the ischemic period. To explore this method, thirty rats were randomly divided into three groups: sham group (n = 10); experimental model group (n = 10); and existing model group (n = 10). Findings of triphenyltetrazolium chloride staining, electrocardiography, and percent survival are compared to determine the accuracies and survival rates of the operations. Based on the study results, it has been concluded that the improved surgery method is associated with a higher survival rate, elevated ST-T segment, and larger infarct size, which is expected to mimic the pathology of MIRI better.