Modulatory effects of Xihuang Pill on lung cancer treatment by an integrative approach

Xihuang pill ameliorates colitis in mice by improving mucosal barrier injury and inhibiting inflammatory cell filtration through network regulation

ETHNOPHARMACOLOGICAL RELEVANCE

The prevalence of colitis is on the rise, and effective treatment options are currently lacking. Xihuang pill (XHP) is a traditional Chinese medicine formula mentioned in the "Volume 4 of Surgical Evidence and Treatment of the Whole Life" authored by the renowned doctor Hong-Xu Wang during the Qing Dynasty. It is now part of the "Volume 9 of Chinese medicine formula preparation in Drug Standard." XHP and its primary ingredients have been demonstrated anti-inflammatory properties against colitis. However, the specific effects and underlying mechanisms of XHP in treating colitis remain unknown.

AIM OF THE STUDY

This study aimed to investigate the potential impact of XHP on colitis and uncover the underlying mechanisms involved.

MATERIALS AND METHODS

An acute colitis model was developed in C57BL/6N mice, and the effects on weight loss, colon length, the permeability of the colonic mucosa barrier, Claudin-5 and Occludin expression, number of both infiltrating MPO-positive cells and CD68-positive cells, and the content of pro-inflammatory cytokines (IL-6, IL-22, IL-1β, and TNF-α) in the colon tissue were investigated. Low-, medium-, and high-dose XHP (0.45, 0.9, and 1.8 g/kg/day) (batch number: z21021222) were administered to the mice by gavage over the course of two weeks. Additionally, the protein expression levels in colon tissue from the control group, colitis group, and XHP low-dose administration group mice were analyzed by quantitative proteomics techniques. The comprehensive profiling and characterization of absorbed components in mice blood following oral administration of XHP were identified by HPLC/Q-TOF-MS techniques, and the absorbed components in blood were combined with proteomics to reveal the mechanism of enteritis inhibition by XHP.

RESULTS

Our findings indicated that XHP enhanced weight loss and colonic shortening of colitis mice. Additionally, XHP reduced the increase in permeability of the colonic mucosa barrier and decreased expression of Claudin-5 and Occludin, while significantly reducing the number of infiltrating MPO-positive cells and CD68-positive cells in the colon tissue. We found that XHP reduced the production of pro-inflammatory cytokines, including IL-6, IL-22, IL-1β, and TNF-α in colon tissue. Pharmacokinetic analysis suggested that XHP contained 24 blood-entering prototype ingredients, which improved colitis through the regulation of various proteins (e.g., Ctsb, Sting1, and Abat) linked to mucosal barrier injury and inflammation.

CONCLUSION

XHP improved intestinal mucosal barrier injury and reduced MPO-positive cells and CD68-positive cell infiltration through multiple targets and pathways, providing support for XHP as a promising therapy for colitis.

Hsa_circ_0080608 Attenuates Lung Cancer Progression by Functioning as a Competitive Endogenous RNA to Regulate the miR-661/ADRA1A Pathway

Circular RNAs (circRNAs) participate in the progression of human cancers and have been broadly elucidated. Here, we aimed to elucidate the roles and functional mechanisms of hsa_circ_0080608 (circ_0080608) in lung cancer. Quantitative real-time PCR (qPCR) was performed to assess the mRNA expression levels of circ_0080608, miR-661, and adrenoceptor alpha 1A (ADRA1A). Western blotting was performed to measure ADRA1A protein levels. CCK-8, colony formation, and Transwell assays were performed to determine the effect of circ_0080608 on cell proliferation and migration. Animal models were used to assess how circ_0080608 influences tumor progression in vivo. The binding relationships of miR-661's with circ_0080608 and ADRA1A was confirmed using dual-luciferase reporter and RIP assays. Circ_0080608 exhibited relatively low expression in lung cancer samples and cells. Lung cancer cells overexpressing circ_0080608 exhibited reduced migratory and proliferative abilities. Additionally, circ_0080608 binds to miR-661 and operates as a competing endogenous RNA (ceRNA) and shares a miR-661 binding site with the 3' UTR of ADRA1A. Furthermore, circ_0080608 inversely regulates miR-661 expression, consequently restraining the aggressive behavior of lung cancer cells. Lung cancer cells overexpressing ADRA1A also exhibit repressed migratory and proliferative abilities. However, reintroduction of miR-661 led to a decline in ADRA1A expression, thereby attenuating the functional effects of ADRA1A. Circ_0080608 impedes lung cancer progression by regulating the miR-661/ADRA1A pathway. Our findings provide new insights into the progression of lung cancer.

Revealing the Preventable Effects of Fu-Zheng-Qu-Xie Decoction against Recurrence and Metastasis of Postoperative Early-Stage Lung Adenocarcinoma Based on Network Pharmacology Coupled with Metabolomics Analysis

Fu-Zheng-Qu-Xie (FZQX) decoction is a traditional Chinese herbal prescription for the treatment of lung cancer and exerts proapoptotic and immunomodulatory effects. It has been clinically suggested to be effective in improving the survival of postoperative early-stage lung adenocarcinoma (LUAD), but the mechanism remains unclear. In this study, we used network pharmacology coupled with metabolomics approaches to explore the pharmacological action and effective mechanism of FZQX against the recurrence and metastasis of postoperative early-stage LUAD. Network pharmacology analysis showed that FZQX could prevent the recurrence and metastasis of postoperative early-stage LUAD by regulating a series of targets involving vascular endothelial growth factor receptor 2, estrogen receptor 1, sarcoma gene, epidermal growth factor receptor, and protein kinase B and by influencing the Ras, PI3K-Akt, and mitogen-activated protein kinase signaling pathways. In liquid chromatography-mass spectrometry analysis, 11 differentially expressed metabolites, including PA(12:0/18:4(6Z,9Z,12Z,15Z)), PC(16:0/0:0)[U], LysoPC(18:1(11Z)), and LysoPC(18:0), were discovered in the FZQX-treated group compared to those in the model group before treatment or normal group. They were enriched in cancer metabolism-related signaling pathways such as central carbon metabolism in cancer, choline metabolism, and glycerol phospholipid metabolism. Collectively, our results suggest that the multicomponent and multitarget interaction network of FZQX inhibits the recurrence and metastasis of postoperative early-stage LUAD by activating the receptor signal transduction pathway to inhibit proliferation, induce cell apoptosis, inhibit aerobic glycolysis, and reprogram tumor lipid metabolism.

The activities and mechanisms of intestinal microbiota metabolites of TCM herbal ingredients could be illustrated by a strategy integrating spectrum-effects, network pharmacology, metabolomics and molecular docking analysis: Platycodin D as an example

BACKGROUND

The intestinal microbiota plays a key role in understanding the mechanism of traditional Chinese medicine (TCM), as it could transform the herbal ingredients to metabolites with higher bioavailability and activity comparing to their prototypes. Nevertheless, the study of the activity and mechanism of microbiota metabolites reported by the published literature still lacks viable ways. Hence a new strategy is proposed to solve this issue.

PURPOSE

A new strategy to study the activity and mechanism of intestinal microbiota metabolites of TCM herbal ingredients by integrating spectrum-effect relationship, network pharmacology, metabolomics analysis and molecular docking together was developed and proposed.

METHOD

Platycodin D (PD) and its microbiota metabolites with antitussive and expectorant effect were selected as an example for demonstration. First, the PD and its microbiota metabolites with important contribution to antitussive and/or expectorant effects were screened through spectrum-effect relationship analysis. Second, network pharmacology and metabolomics analysis were integrated to identify the upstream key targets of PD and its microbiota metabolites as well as the downstream endogenous metabolites. Finally, the active forms of PD were further confirmed by molecular docking.

RESULTS

Results showed that PD was an active ingredient with antitussive and/or expectorant effects, and the active forms of PD were its microbiota metabolites: 3-O-β-d-glucopyranosyl platycodigenin, 3-O-β-d-glucopyranosyl isoplatycodigenin, 7‑hydroxyl-3-O-β-d-glucopyranosyl platycodigenin, platycodigenin and isoplatycodigenin. In addition, those microbiota metabolites could bind the key targets of PAH, PLA2G2A, ALOX5, CYP2C9 and CYP2D6 to exert antitussive effects by regulating four metabolic pathways of phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, glycerophospholipid metabolism and linoleic acid metabolism. Similarly, they could also bind the key targets of PLA2G1B, ALOX5, CYP2C9 and CYP2D6 to exert expectorant effect by regulating two pathways of glycerophospholipid metabolism and linoleic acid metabolism.

CONCLUSION

The proposed strategy paves a new way for the illustration of the activities and mechanisms of TCM herbal ingredients, which is very important to reconcile the conundrums of TCM herbal ingredients with low oral bioavailability but high activity.

Mass spectrometry-based metabolomics for discovering active ingredients and exploring action mechanism of herbal medicine

Natural products derived from herbal medicine are a fruitful source of lead compounds because of their structural diversity and potent bioactivities. However, despite the success of active compounds derived from herbal medicine in drug discovery, some approaches cannot effectively elucidate the overall effect and action mechanism due to their multi-component complexity. Fortunately, mass spectrometry-based metabolomics has been recognized as an effective strategy for revealing the effect and discovering active components, detailed molecular mechanisms, and multiple targets of natural products. Rapid identification of lead compounds and isolation of active components from natural products would facilitate new drug development. In this context, mass spectrometry-based metabolomics has established an integrated pharmacology framework for the discovery of bioactivity-correlated constituents, target identification, and the action mechanism of herbal medicine and natural products. High-throughput functional metabolomics techniques could be used to identify natural product structure, biological activity, efficacy mechanisms, and their mode of action on biological processes, assisting bioactive lead discovery, quality control, and accelerating discovery of novel drugs. These techniques are increasingly being developed in the era of big data and use scientific language to clarify the detailed action mechanism of herbal medicine. In this paper, the analytical characteristics and application fields of several commonly used mass spectrometers are introduced, and the application of mass spectrometry in the metabolomics of traditional Chinese medicines in recent years and its active components as well as mechanism of action are also discussed.

Systems biology strategy and experimental validation to uncover the pharmacological mechanism of Xihuang Pill in treating non-small cell lung cancer

BACKGROUND

Non-small cell lung cancer (NSCLC) accounts for almost 85% of lung cancer-related deaths worldwide. Xihuang Pill (XHP) is a representative anticancer Chinese patented medicine used to treat NSCLC in China. However, to date, a systematic analysis of XHP's antitumour effects and its impact on the immune microenvironment has not been performed.

PURPOSE

Based on the systems biology strategy and experimental validation, the present study aimed to investigate the pharmacological mechanisms involved in treating NSCLC with XHP.

METHODS

A subcutaneous tumour model was established to evaluate XHP's tumour-inhibitory effect in BALB/c nude mice. RNA sequencing (RNA-seq) and bioinformatics analysis were conducted to identify differentially expressed genes (DEGs) and signalling pathways related to XHP treatment. Network analysis based on network pharmacology and protein-to-protein networks was applied to identify the compounds and genes targeted by XHP. External data from the TCGA-NSCLC cohort were used to verify the clinical significance of XHP-targeted genes in NSCLC. The expression of survival-related candidate genes after XHP treatment was verified via qPCR. The protein expression of calcium voltage-gated channel subunit alpha 1C (CACNA1C) in different NSCLC cell lines was analysed in the Human Protein Atlas database (HPA) and DepMap Portal. Using the Estimation of STromal and Immune cells in MAlignant Tumour tissues using Expression data (ESTIMATE) algorithm and the single-sample gene set enrichment analysis (ssGSEA) algorithm uncovered the role of CACNA1C in the NSCLC tumour microenvironment (TME).

RESULTS

XHP (2 g/kg/d) significantly inhibited the growth of transplanted A549 tumours. RNA-seq identified a total of 529 DEGs (189 upregulated and 340 downregulated). In addition, 542 GO terms, 41 significant KEGG pathways, 9 upregulated hallmarks pathways, and 18 downregulated hallmark pathways were enriched. These GO terms and signalling pathways were closely related to cell proliferation, immunity, energy metabolism, and the inflammatory response of NSCLC. In addition, XHP's network pharmacology analysis identified 301 compounds and 1,432 target genes. A comprehensive strategic analysis identified CACNA1C as a promising gene by which XHP targets and regulates the TME of NSCLC, benefiting patient survival. CACNA1C expression was positively correlated with both the immune score and stromal score but negatively correlated with the tumour purity score. Additionally, CACNA1C expression was significantly correlated with the infiltration levels of 15 types of immune cells and the expression levels of 6 well-known checkpoint genes.

CONCLUSIONS

Our results show that by regulating the pathways associated with cell proliferation and immunity, XHP can suppress cancer cell growth in NSCLC. Additionally, XHP may increase the expression of CACNA1C to suppress immune cell infiltration and regulate the expression of checkpoint-related genes, thereby improving the overall survival of NSCLC patients.

Metabolomics coupled with network pharmacology study on the protective effect of Keguan-1 granules in LPS-induced acute lung injury

CONTEXT

Keguan-1 (KG-1) plays a vital role in enhancing the curative effects, improving quality of life, and reducing the development of acute lung injury (ALI).

OBJECTIVE

To unravel the protective effect and underlying mechanism of KG-1 against ALI.

MATERIALS AND METHODS

C57BL/6J mice were intratracheally instilled with lipopolysaccharide to establish the ALI model. Then, mice in the KG-1 group received a dose of 5.04 g/kg for 12 h. The levels of proinflammatory cytokines, chemokines, and pathological characteristics were determined to explore the effects of KG-1. Next, untargeted metabolomics was used to identify the differential metabolites and involved pathways for KG-1 anti-ALI. Network pharmacology was carried out to predict the putative active components and drug targets of KG-1 anti-ALI.

RESULTS

KG-1 significantly improved the levels of TNF-α (from 2295.92 ± 529.87 pg/mL to 1167.64 ± 318.91 pg/mL), IL-6 (from 4688.80 ± 481.68 pg/mL to 3604.43 ± 382.00 pg/mL), CXCL1 (from 4361.76 ± 505.73 pg/mL to 2981.04 ± 526.18 pg/mL), CXCL2 (from 5034.09 ± 809.28 pg/mL to 2980.30 ± 747.63 pg/mL), and impaired lung histological damage. Untargeted metabolomics revealed that KG-1 significantly regulated 12 different metabolites, which mainly related to lipid, amino acid, and vitamin metabolism. Network pharmacology showed that KG-1 exhibited anti-ALI effects through 17 potentially active components acting on seven putative drug targets to regulate four metabolites.

DISCUSSION AND CONCLUSIONS

This work elucidated the therapeutic effect and underlying mechanism by which KG-1 protects against ALI from the view of the metabolome, thus providing a scientific basis for the usage of KG-1.

A universal co-expression gene network and prognostic model for hepatic-biliary-pancreatic cancers identified by integrative analyses

Hepatic, biliary and pancreatic cancers are a diverse set of malignancies with poor prognoses. It is possible that common molecular mechanisms are involved in the carcinogenesis of these cancers. Here, we identified LINC01537 and seven protein-coding genes by integrative analysis of transcriptomes of mRNAs, microRNAs and long non-coding RNAs from cholangiocarcinoma, hepatocellular carcinoma and pancreatic adenocarcinoma cohorts in TCGA. A predictive model constructed from seven biomarkers was established to successfully predict the survival rate of patients, which was then further verified in external cohorts. Additionally, patients with high-risk scores in our model were prone to epithelial-mesenchymal transition. Finally, activation of the biomarker PDE2A significantly attenuated migration and epithelial-mesenchymal transition in the HepG2 liver cancer cell line.

Metabolomics Combined with Network Pharmacology-Based Strategy to Reveal the Underlying Mechanism of Zhenhuang Submicron Emulsion in Treating Oropharyngeal Mucositis Complications of Radiation Therapy for Head and Neck Cancer

Introduction

Head and neck tumors account for more than 6% of all cancers. The primary treatment for tumors of the head and neck is radiation therapy, which can induce oropharyngeal mucositis as a side effect. At present, there is no widely available therapeutic for the treatment of oropharyngeal mucositis in clinical practice. Based on the traditional prescription Liushen Wan, the pathogenesis and pathology, we developed a new Chinese medicine prescription and made Zhenhuang submicron emulsion (ZHSE) spray, which has an efficacious therapeutic effect for oropharyngeal mucositis. However, its mechanism is unclear.

Methods

This research explored the mechanism behind the modulatory effects of ZHSE by a strategy of metabolomics and network pharmacology. Multivariate data analyses, including unsupervised principal component analysis (PCA) and supervised orthogonal partial least squares discriminant analysis (OPLS-DA), were performed. Potential biomarkers were identified depending on the mass-charge ratio of the selected compound. Statistical and pathway enrichment analysis was performed in the KEGG pathway database. Network pharmacology combining metabolomic analyses was conducted to illustrate the key targets and pathways.

Results

Critical metabolic pathways were investigated, 56f biomarkers were enriched and key metabolites such as linoleic acid, 9,10-epoxyoctadecenoic acid, acetoacetic acid and citric acid were identified. A complex network of “compound-target-potential metabolite” interactions was drawn to illuminate the regulation of chemical constituents on key metabolites. These findings manifest that ZHSE regulates endogenous metabolite disorders during the treatment of oropharyngeal mucositis by various constituents, interacting with multiple targets associated with inflammation and pain.

Conclusion

In this work, we determined several critical biomarkers and metabolic pathways and identified the possible regulatory mechanism by which ZHSE functions in the treatment of oropharyngeal mucositis. This study provides a new perspective on integrating metabolomics and network pharmacology for exploring improved therapy for head and neck tumors based on the traditional classic prescription of LSW.

Cervical Cancer Imaging Features Associated With ADRB1 as a Risk Factor for Cerebral Neurovascular Metastases

Bioinformatics tools are used to create a clinical prediction model for cervical cancer metastasis and to investigate the neurovascular-related genes that are involved in brain metastasis of cervical cancer. One hundred eighteen patients with cervical cancer were divided into two groups based on the presence or absence of metastases, and the clinical data and imaging findings of the two groups were compared retrospectively. The nomogram-based model was successfully constructed by taking into account four clinical characteristics (age, stage, N, and T) as well as one imaging characteristic (original_glszm_GrayLevelVariance Rad-score). In patients with cervical cancer, headaches and vomiting were more often reported in the brain metastasis group than in the other metastasis groups. According to the TCGA data, mRNA differential gene expression analysis of patients with cervical cancer revealed an increase in the expression of neurovascular-related gene Adrenoceptor Beta 1 (ADRB1) in the brain metastasis group. An analysis of the correlation between imaging features and ADRB1 expression revealed that ADRB1 expression was significantly higher in the low Rad-score group compared with the high Rad-score group (P = 0.025). Therefore, ADRB1 expression in cervical cancer was correlated with imaging features and was associated as a risk factor for cerebral neurovascular metastases. This study developed a nomogram prediction model for cervical cancer metastasis using age, stage, N, T and original_glszm_GrayLevelVariance. As a risk factor associated with the development of cerebral neurovascular metastases of cervical cancer, ADRB1 expression was significantly higher in brain metastases from cervical cancer.

Application of Surface-Enhanced Raman Spectroscopy in the Screening of Pulmonary Adenocarcinoma Nodules

This study is aimed at evaluating the feasibility of a screening method for the pulmonary adenocarcinoma nodules through surface-enhanced Raman spectroscopy (SERS). Objective. Using SERS to measure serum from pulmonary nodules and healthy subjects, intraoperative biopsy pathological diagnosis was regarded as the gold standard for labeling serum samples. To explore the application value of SERS in the differential diagnosis of pulmonary adenocarcinoma nodules, benign nodules, and healthy, we build a machine learning model. Method. We collected 116 serum samples from patients. Radiographically confirmed nodules less than 3 cm in maximum diameter in all patients, including 58 cancer (pathologic diagnosis: adenocarcinoma nodules, labeled as cancer) patients, 58 pathologic diagnoses as benign nodule (labeled as benign) patients, and 63 healthy (labeled as normal) people from the clinical laboratory of Sichuan Cancer Hospital. Gold nanorods were employed as SERS substrates. Support vector machine (SVM) was used to classify the normal, benign, and cancer sample groups, and SVM model evaluated using cross-validation. Results. The average SERS spectra of serum were significantly different between the normal group and the cancer/benign group. While the average SERS spectra of the cancer group and the benign group differed slightly, for the cancer, benign, and normal groups, SVM models can predict with 93.33% accuracy. Conclusion. This exploratory study demonstrates that the SERS technique based on nanoparticles in conjunction with SVM has great potential as a clinical auxiliary diagnosis and screening for pulmonary adenocarcinoma nodules.

Exploring the Pharmacological Mechanisms of Xihuang Pills Against Prostate Cancer via Integrating Network Pharmacology and Experimental Validation In Vitro and In Vivo

Background: Drug resistance is the major cause of increasing mortality in prostate cancer (PCa). Therefore, it an urgent to develop more effective therapeutic agents for PCa treatment. Xihuang pills (XHP) have been recorded as the efficient anti-tumor formula in ancient Chinese medical literature, which has been utilized in several types of cancers nowadays. However, the effect protective role of XHP on the PCa and its underlying mechanisms are still unclear.

Methods: The active ingredients of XHP were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and BATMAN-TCM. The potential targets of PCa were acquired from the Gene Cards and OMIM databases. R language and Perl language program were utilized to clarify the interaction between the PCa-related targets and the potential targets of XHP. The potential targets of XHP for prostate cancer were gathered from the Gene ontology and KEGG pathway. Furthermore, cell proliferation assays were verified by PC3 and LNCaP cells. The efficacy and potential mechanism tests were confirmed by the PCa PC3 cells and mice subcutaneous transplantation. The effects of PI3K/Akt/mTOR-related proteins on proliferation, apoptosis, and cell cycle of PCa cells were measured by the Cell Counting Kit-8(CCK8), TUNEL assay, real-time quantitative reverse transcription PCR (QRT-PCR), and Western Blotting, respectively.

Results: The active components of four traditional Chinese medicines in XHP were searched on the TCMSP and Batman TCM database. The biological active components of XHP were obtained as OB ≥30% and DL ≥0.18. The analysis of gene ontology and KEGG pathway identified the PI3K/Akt/mTOR signaling pathway as the XHP-associated pathway. Collectively, the results of in vitro and in vivo experiments showed that XHP had the effect of inhibiting on the proliferation of PC3 and LNCaP cells. XHP promoted the apoptosis and restrained the cell cycle and invasion of the PC3 cells and subcutaneous transplantation. Meanwhile, the suppression of XHP on the level of expression of PI3K, Akt, and mTOR-pathway-related pathway proteins has been identified in a dose-dependent manner.

Conclusion: PI3K/Akt/mTOR pathway-related pathway proteins were confirmed as the potential XHP-associated targets for PCa. XHP can suppress the proliferation of prostate cancer via inhibitions of the PI3K/Akt/mTOR pathway.

An Integrative Metabolomic and Network Pharmacology Study Revealing the Regulating Properties of Xihuang Pill That Improves Anlotinib Effects in Lung Cancer

Lung cancer ranks as a leading cause of death. Although targeted therapies usually trigger profound initial patient responses, these effects are transient due to drug resistance and severe side effects. Xihuang Pill (XHW) is a popular Chinese medicine formula that might benefit cancer patients when used as a complementary therapy. However, its underlying mechanism when combined with anticancer drugs is not clearly understood. Here, we used an integrated strategy to reveal the regulatory properties of XHW in increasing the antitumor activity of anlotinib in lung cancer. We evaluated the anti-lung cancer effect of XHW combined with anlotinib in mice bearing Lewis lung carcinoma (LLC). We applied untargeted metabolomics to identify the differences metabolism and found that XHW improved the effects of anlotinib on lung cancer. The components and targets related to the effects of XHW treatment on lung cancer were obtained through network pharmacology. Then, by integrating the biologically active components of XHW and anlotinib as well as the treatment-responsive metabolites and their related targets, an interaction network was constructed to evaluate the combination therapy. Finally, important protein candidates for this response were verified by immunohistochemistry of tumor tissues. The results showed that XHW significantly improved the inhibitory effect of anlotinib on tumor growth in LLC-bearing mice. Additionally, 12 differentially-abundant metabolites were identified by untargeted metabolomics in the XHW/anlotinib group compared with the XHW or anlotinib groups, and they were mainly enriched in fatty acid metabolism, lipid metabolism and amino acid metabolism pathways. Anlotinib, 23 components in Shexiang, 2 components in Niuhuang, 30 components in Ruxiang and 60 components in Moyao work together to act on 30 targets to regulate hexadecanoic acid (also named palmitic acid), linoleic acid, lactosylceramide, adrenaline, arachidonic acid and lysoPC(18:1(9Z)). The results of immunohistochemistry showed that XHW combined with anlotinib reduced the expression of PDGFRA in tumors. Overall, the key metabolites of XHW that enhances the efficacy of anlotinib were regulated by a multicomponent and multitarget interaction network. Our results suggested that anlotinib combined with XHW may be a promising strategy for the treatment of lung cancer.

Traditional Chinese Medicine Xihuang Wan Inhibited Lewis Lung Carcinoma in a Syngeneic Model, Equivalent to Cytotoxic Chemotherapy, by Altering Multiple Signaling Pathways

BACKGROUND/AIM

Xihuang Wan (XHW), a traditional Chinese medicine (TCM), has been used in China for a variety of cancers including lung cancer. The present study evaluated the efficacy of XHW on a Lewis lung mouse model and explored the potential mechanism via transcriptomics.

MATERIALS AND METHODS

The mice were randomized into 6 groups: 1) untreated control (n=10); 2) low-dose XHW; 3) medium-dose XHW; 4) high-dose XHW; 5) cisplatin; and 6) untreated blank (n=4). Lewis lung carcinoma (LLC) cells were injected subcutaneously except for the 4 mice in the blank group. The body weight and tumor length and width were measured every 3 days. RNA-sequencing was performed on tumors in the high-dose XHW group and the control group.

RESULTS

XHW inhibited the growth of LLC in a syngeneic mouse model, without toxicity, with equivalent efficacy to cisplatin. RNA-sequencing demonstrated that many signaling pathways were involved in XHW-mediated inhibition of LLC, including tumor necrosis factor, estrogen, cyclic guanosine 3', 5'-monophosphate-protein kinase G, apelin and the peroxisome proliferator-activated receptor signaling pathways.

CONCLUSION

XHW inhibited LLC carcinoma through different pathways and shows clinical promise for patients who cannot tolerate platinum-based drugs.

Efficacy and safety of Xihuang pill for gastric cancer: A protocol for systematic review and meta-analysis

BACKGROUND

Xihuang pill has been widely applied as a promising adjunctive drug for gastric cance. However, the exact effects and safety of Xihuang pill have yet to be systematically investigated. We aimed to summarize the effificacy and safety of Xihuang pill for the treatment of advanced GC through the meta-analysis, in order to provide scientific reference for the design of future clinical trials.

METHODS

The protocol followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. Relevant randomized controlled trials were searched from PubMed, the Cochrane Library, Embase, the China National Knowledge Infrastructure, Wanfang Database, Chinese Science and echnology Periodical Database, and Chinese Biomedical Literature Database. Papers in English or Chinese published from their inception to October 2020 will be included without any restrictions. Cochrane Risk of Bias tool will be used to assess the risk of bias of included studies. The RevMan 5.4 and Stata 16.0 software will be applied for statistical analyses. Statistical heterogeneity will be computed by I2 tests. Sensitivity analysis will be conducted to evaluate the stability of the results. The publication bias will be evaluated by funnel plots and Egger test. The quality of evidence will be assessed by the Grading of Recommendations Assessment, Development and Evaluate system.

RESULTS

The results of our research will be published in a peer-reviewed journal.

CONCLUSION

The conclusion of this study will provide helpful evidence of the effect and safety of Xihuang pill for the treatment of GC in clinical practice.

OSF REGISTRATION NUMBER

10.17605/OSF.IO/VFJAK.

Pharmacokinetics/pharmacometabolomics-pharmacodynamics reveals the synergistic mechanism of a multicomponent herbal formula, Baoyuan decoction against cardiac hypertrophy

Multicomponent herbal formulas (MCHFs) have earned a wide reputation for their definite efficacy in preventing or treating chronic complex diseases. However, holistic elucidation of the causal relationship between the bioavailable ingredients of MCHFs and their multitarget interactions is very challenging. To solve this problem, pharmacokinetics/pharmacometabolomics-pharmacodynamics (PK/PM-PD) combined with a multivariate biological correlation-network strategy was developed and applied to a classic MCHF, Baoyuan decoction (BYD), to clarify its active components and synergistic mechanism against cardiac hypertrophy (CH). First, multiple plasma metabolic biomarkers for β-adrenergic agonist-induced CH rats were identified by using untargeted metabolomic profiling, and then, these CH-associated endogenous metabolites and the absorbed BYD-compounds in plasma at different treatment stages after oral administration of BYD were analyzed by using targeted PK and PM. Second, the dynamic relationship of BYD-related compounds and CH-associated endogenous metabolites and signaling pathways was built by using multivariate and bioinformatic correlation analysis. Finally, metabolic-related PD indicators were predicted and further verified by biological tests. The results demonstrated that the bioavailable BYD-compounds, such as saponins and flavonoids, presented differentiated and distinctive metabolic features and showed positive or negative correlations with various CH-altered metabolites and PD-indicators related to gut microbiota metabolism, amino acid metabolism, lipid metabolism, energy homeostasis, and oxidative stress at different treatment stages. This study provides a novel strategy for investigating the dynamic interaction between BYD and the biosystem, providing unique insight for disclosing the active components and synergistic mechanisms of BYD against CH, which also supplies a reference for other MCHF related research.

Profile of gut flora in hypertensive patients with insufficient sleep duration

Recently, the contribution of both insufficient sleep duration and gut microbiome dysbiosis to hypertension (HTN) have been revealed, yet the profile of gut flora in hypertensive patients with insufficient sleep duration remains unknown. To examine this condition, the specific shifts in the fecal microbiome of 53 participants with or without HTN were investigated. The patients were divided into those who slept short (≤6 h) or optimal (6-9 h) duration per day. Comprehensive metagenomic sequencing analysis of fecal specimens was performed in healthy controls with sufficient sleep (s-CTR, n = 10), healthy controls with insufficient sleep (ins-CTR, n = 6), hypertensive patients with sufficient sleep (s-HTN, n = 25), and HTNs complicated by short sleep duration (ins-HTN, n = 12). We found that the α-diversity and β-diversity were quite similar between s-HTN and ins-HTN. Similarities were also observed in the enterotype distribution between s-HTN and ins-HTN subjects. In addition, the enrichment of gut bacteria was evident, such as Fusobacterium mortiferum and Roseburia inulinivorans in ins-HTN subjects. Several functional modules that were distinct between s-HTN and ins-HTN subjects were identified, which were unique to hypertensive patients with insufficient sleep duration. Overall, the data demonstrated that the gut microbial features were largely maintained in hypertensive participants with insufficient sleep duration.

Efficacy and safety of Xihuang pill for lung cancer: A protocol for systematic review and meta-analysis

BACKGROUND

Xihuang pill, a famous traditional Chinese medicine formulation, is a broad-spectrum anti-tumor drug and has been widely used for the treatment of lung cancer in China. The aim of this study is to systematically investigate the efficacy and safety of Xihuang pill for the treatment of lung cancer.

METHODS

We will perform the comprehensive literature search in the following databases from their inceptions to August 2020 for data extraction: PubMed, the Cochrane Library, Embase, the China National Knowledge Infrastructure, Wanfang Database, Chinese Science and Technology Periodical Database, and Chinese Biomedical Literature Database. Cochrane Risk of Bias tool will be used to assess the risk of bias of included studies. The RevMan 5.4 and Stata 16.0 software will be applied for statistical analyses. Statistical heterogeneity will be computed by I tests. Sensitivity analysis will be conducted to evaluate the stability of the results. The publication bias will be evaluated by funnel plots and Egger test. The quality of evidence will be assessed by the Grading of Recommendations Assessment, Development and Evaluate system (GRADE) system.

RESULTS

The results of our research will be published in a peer-reviewed journal.

CONCLUSION

The conclusion of this study will provide evidence to show whether Xihuang pill is an effective intervention for patient with lung cancer.

OSF REGISTRATION NUMBER

10.17605/OSF.IO/W2GHN.