Pharmacological Models Research Articles

Pregnenolone 16α-carbonitrile negatively regulates hippocampal cytochrome P450 enzymes and ameliorates phenytoin-induced hippocampal neurotoxicity

The central nervous system is susceptible to the modulation of various neurophysiological processes by the cytochrome P450 enzyme (CYP), which plays a crucial role in the metabolism of neurosteroids. The antiepileptic drug phenytoin (PHT) has been observed to induce neuronal side effects in patients, which could be attributed to its induction of CYP expression and testosterone (TES) metabolism in the hippocampus. While pregnane X receptor (PXR) is widely known for its regulatory function of CYPs in the liver, we have discovered that the treatment of mice with pregnenolone 16α-carbonitrile (PCN), a PXR agonist, has differential effects on CYP expression in the liver and hippocampus. Specifically, the PCN treatment resulted in the induction of cytochrome P450, family 3, subfamily a, polypeptide 11 (CYP3A11), and CYP2B10 expression in the liver, while suppressing their expression in the hippocampus. Functionally, the PCN treatment protected mice from PHT-induced hippocampal nerve injury, which was accompanied by the inhibition of TES metabolism in the hippocampus. Mechanistically, we found that the inhibition of hippocampal CYP expression and attenuation of PHT-induced neurotoxicity by PCN were glucocorticoid receptor dependent, rather than PXR independent, as demonstrated by genetic and pharmacological models. In conclusion, our study provides evidence that PCN can negatively regulate hippocampal CYP expression and attenuate PHT-induced hippocampal neurotoxicity independently of PXR. Our findings suggest that glucocorticoids may be a potential therapeutic strategy for managing the neuronal side effects of PHT.

Real-Time Personalised Pharmacokinetic-Pharmacodynamic Modelling in Propofol Anesthesia through Bayesian Inference.

Pharmacological models describe a patient's response to the administration of a medicinal drug based on parameters derived from population studies. However, considerable inter-patient variability exists, such that population models may underperform when used to predict the actual response of a specific individual. In applications which demand predictive accuracy-such as target-controlled infusion of anesthetic agents-modeling uncertainty may reduce system dependability and introduce clinical risk. Our work investigates the use of Bayesian inference, implemented through a particle filter algorithm, to refine a prior model of propofol pharmacokinetics-pharmacodynamics and estimate patient-specific parameters in real-time. We report here on an observational clinical study conducted on 40 adults undergoing general anesthesia, where we evaluated the performance of Bayesian inference-personalized models in forecasting forward trends of depth of anesthesia (Bispectral Index) measurements and compared it with that of a traditional population-based pharmacological model. Our results show a significant reduction in prediction error metrics for the patient-specific models. Our study demonstrates the viability and practical implementability of Bayesian inference as a tool for real-time intra-operative estimation of personalized pharmacological models in anesthesia applications.

Mouse models of cerebral injury and cognitive impairment in hypertension.

Hypertension is a major risk factor for dementia, including both vascular and neurodegenerative etiologies. With the original aim of studying the effect of blood pressure elevation on canonical target organs of hypertension as the heart, the vasculature or the kidneys, several experimental models of hypertension have sprouted during the years. With the more recent interest of understanding the cerebral injury burden caused by hypertension, it is worth understanding how the main models of hypertension or localized cerebral hypertension stand in the field of hypertension-induced cerebral injury and cognitive impairment. With this review we will report main genetic, pharmacological and surgical models of cognitive impairment induced by hypertension, summarizing how each specific category and model can improve our understanding of the complex phenomenon of cognitive loss of vascular etiology.

Pharmacological and surgical experimental animal models of induction of spermatogenesis disorders

Introduction. Experimental induction of spermatogenesis disorders is possible mainly by physical, pharmacological methods. However, not all methods can cause non-obstructive azoospermia.Objective. To evaluate and compare the effectiveness of induction of spermatogenesis disorders in rat models by applying ligatures to the spermatic cords and administration of cisplatin.Materials & methods. Seventy-three mature male rats (Wistar) were divided into 2 experimental groups and 1 control (n = 9) group: group 1 (n = 27) with ligature on the spermatic cord for 12 h (n = 9), 24 h (n = 9), 36 h (n = 9); group 2 (n = 37) with five-fold intraperitoneal administration of cisplatin at concentrations of 5 mg/kg, 3 mg/kg, 1 mg/kg. On days 0, 7, 14, 28 after the last day of induction of spermatogenesis disorders, epididymal semen analysis, blood test, total serum testosterone, pathomorphological examination of testes tissue, body weight, reproductive system organ weight were performed to assess model performance.Results. Ligation to the spermatic cords did not have a negative effect on the general condition of the animals (p < 0.05), blood test (p < 0.05); there was a decrease in the testicular weight (p < 0.05), the appendage of the testis (p < 0.05), prostate (p < 0.05), the weight of the seminal vesicles did not change (p > 0.05). In group 1, the number of epidermal spermatozoa decreased in all subgroups, statistically significant changes were recorded at 7 (exposure 24 h) and 28 (exposure 12, 36 h) days of research. Histologically, there was no significant inhibition of spermatogenesis, except for a decrease in the area, diameter of the seminal tubules on 7, 28 days after surgery (exposure 24, 36 h). In group 2, the survival of animals was noted only when using cisplatin at a dose of 1 mg/kg five times. Body weight decreased in all rats without recovery, thrombocytopenia recorded after 1 wk, leukocytopenia regressed by 2 wk of the study. A decrease in the weight of all reproductive organs was noted. Sperm concentration decreased at 1 wk and recovered at 28 wk. In the analysis of testicular biopsies: pronounced disorganization of the spermatogenic epithelium, a decrease in the absolute area and diameter of the seminal tubules.Conclusion. Ligation to the spermatic cord does not cause permanent inhibition of spermatogenesis. Cisplatin at a dose of 1 mg/kg causes persistent severe damage to the spermatogenic epithelium.

Intravenous Magnesium: Prompt Use for Asthma in Children Treated in the Emergency Department (IMPACT-ED): Protocol for a Multicenter Pilot Randomized Controlled Trial.

Children managed for asthma in an emergency department (ED) may be less likely to be hospitalized if they receive intravenous magnesium sulfate (IVMg). Asthma guidelines recommend IVMg for severely sick children but note a lack of evidence to support this recommendation. All previous trials of IVMg in children with asthma have been too small to answer whether IVMg is effective and safe. A few major questions remain about IVMg. First, it has not been tested early in the course of ED treatment, when the impact on hospitalization would be greatest. Second, the clinical impact of hypotension, a known adverse effect of IVMg, has not been well characterized in previous research. Third, no trials have compared different IVMg doses or serial serum magnesium (total and ionized) concentrations to optimize dosing, so the most effective dose is unknown. A large, conclusive, randomized, placebo-controlled clinical trial of IVMg might be challenging due to the need to enroll and complete study procedures quickly, a lack of understanding of blood pressure changes after IVMg, and a lack of pharmacologic information to guide the optimal doses of IVMg to be tested. Therefore, a pilot study to inform the above gaps is warranted before conducting a definitive trial. The objectives of this study are to (1) demonstrate the feasibility of enrolling children with severe acute asthma in the ED in a multicenter, randomized controlled trial of a placebo, low-dose IVMg, or high-dose IVMg; (2) demonstrate the feasibility of timely delivery of study medication, assessment of blood pressure, and evaluation of adverse events in a standardized protocol; and (3) externally validate a previously constructed pharmacokinetic model and develop a combined pharmacokinetic/pharmacodynamic model for IVMg using magnesium (total and ionized) serum concentrations and their correlation with measures of efficacy and safety. This pilot trial tests procedures and gathers information to plan a definitive trial. The pilot trial will enroll as many as 90 children across 3 sites, randomize each child to 1 of 3 study arms, measure blood pressure frequently, and collect 3 blood samples from each participant with corresponding clinical asthma scores. The project was funded by the National Heart, Lung, and Blood Institute (1 R34HL152047-2) in March 2022. Enrollment began in September 2022, and 43 children have been enrolled as of April 2023. We will submit the results for publication in late 2023. The results of this study will guide the planning of a large, definitive, multicenter trial powered to evaluate if IVMg reduces hospitalization. Blood pressure measurements will inform a monitoring plan for the larger trial, and blood samples and asthma scores will be used to validate pharmacologic models to select the optimal dose of IVMg to be evaluated in the definitive trial. ClinicalTrials.gov NCT05166811; https://clinicaltrials.gov/ct2/show/NCT05166811. DERR1-10.2196/48302.

Mitochondrial respiratory complex I deficiency inhibits brown adipogenesis by limiting heme regulation of histone demethylation

Mitochondrial functions play a crucial role in determining the metabolic and thermogenic status of brown adipocytes. Increasing evidence reveals that the mitochondrial oxidative phosphorylation (OXPHOS) system plays an important role in brown adipogenesis, but the mechanistic insights are limited. Herein, we explored the potential metabolic mechanisms leading to OXPHOS regulation of brown adipogenesis in pharmacological and genetic models of mitochondrial respiratory complex I deficiency. OXPHOS deficiency inhibits brown adipogenesis through disruption of the brown adipogenic transcription circuit without affecting ATP levels. Neither blockage of calcium signaling nor antioxidant treatment can rescue the suppressed brown adipogenesis. Metabolomics analysis revealed a decrease in levels of tricarboxylic acid cycle intermediates and heme. Heme supplementation specifically enhances respiratory complex I activity without affecting complex II and partially reverses the inhibited brown adipogenesis by OXPHOS deficiency. Moreover, the regulation of brown adipogenesis by the OXPHOS-heme axis may be due to the suppressed histone methylation status by increasing histone demethylation. In summary, our findings identified a heme-sensing retrograde signaling pathway that connects mitochondrial OXPHOS to the regulation of brown adipocyte differentiation and metabolic functions.

Therapeutic potential of the chemical composition of Dendrobium nobile Lindl.

Dendrobium nobile Lindl. belongs to the genus Dendrobium of the orchid family and is a valuable herbal medicinal material. The information in this paper has been collected from the scientific literature databases including PubMed, Google Scholar, Web of Science, SciFinder, China National Knowledge Infrastructure, published books, Ph.D., and M.S. dissertations systematically in recent 20 years. "Dendrobium nobile Lindl.," "chemical composition," "pharmacological activities," and "diseases" were used as search terms to screen the literature. The collected chemical compositions are classified and summarized according to their different chemical structures, and the clinical disease treatment effects of Dendrobium nobile Lindl. are classified and summarized based on their pharmacological activities and different experimental disease models. Recent studies have revealed that Dendrobium nobile Lindl. contains chemical components such as alkaloids, bibenzyls, sesquiterpenes, phenanthrenes, and polysaccharides, and that its pharmacological activities are closely related to the chemical components, with pharmacological activities such as anti-tumor, anti-aging, immune enhancement, hypoglycemic, and anti-cataract. Currently, researchers are conducting extensive and detailed studies on Dendrobium nobile Lindl. and research experiments on its chemical constituents in the treatment of various clinical diseases. Therefore, the purpose of this paper is to review the chemical composition of Dendrobium nobile Lindl. and its experimental studies in the treatment of diseases and to provide a scientific reference for the future application of Dendrobium nobile Lindl. in the treatment of diseases.

Canagliflozin shares common mTOR and MAPK signaling mechanisms with other lifespan extension treatments

Long-lived mouse models and treatments that extend lifespan, such as Rapamycin, acarbose and 17α- -estradiol, lead to reduction in mTORC1 activity, declines in cap-dependent translation and increases in cap-independent translation. In addition, these treatments reduce the MEK-ERK-MNK (ERK1–2) signaling cascade, leading to reduction in eIF4E phosphorylation, which also regulates mRNA translation. Here, we report that Canagliflozin, a drug that extends lifespan only in male mice reduces mTORC1 and ERK1–2 signaling in male mice only. The data suggest reduction in mTORC1 and ERK pathways are common mechanisms shared by both genetic and pharmacological models of slowed aging in mice. Our data also reveal a significant sexual dimorphism in the ERK1–2 signaling pathway which might help to explain why some drugs can extend lifespan in males but have no effects in female mice.

Phytochemistry and Pharmacology of Indian Traditional Plant Hyssop (Hyssopus officinalis L.): A Review

Abstract: Hyssopus officinalis is a traditional medicinal plant that belongs to the family Lamiaceae, which has been used from centuries for various purposes like carminative, expectorant, cough reliever. It has been used for the treatment of numerous diseases in patients such as ulcers, asthma, jaundice, leprosy, dropsy, bronchitis, COPD, diabetes, AIDS, bacterial and fungal infections as an herbal remedy due to its fewer side effects and is more efficacies than other traditional medicine. Major classes of chemical compounds found in H. officinalis essential oil are bicyclic monoterpenes, monoterpenoids, acyclic monoterpenes, phenolic monoterpenoids, monocyclic monoterpenes, monocyclic sesquiterpenes, tricyclic sesquiterpenes, bicyclic sesquiterpenes, tricyclic sesquiterpenoids, straight chain saturated hydrocarbons. Some of the major chemical constituents present in the H. officinalis are β-pinene, α-pinene, 1, 8-cineole, apigenin, diosmin, caffeic acid, rosmarinic acid, cis-pinocamphone, trans-pinocamphone, iso-pinocamphone, pinocarvone, which are responsible for its various pharmacological activity. Various studies have been performed on the pharmacological activity of its extract, such as antioxidant, antimicrobial, anti-diabetic, anticancer, antiviral, anti-inflammatory, analgesic, anti-leishmanial, anthelmintic, anti-protozoal and anti-anxiety. Recently, it is use as an anticancer agent has been demonstrated by studying its cytotoxic and apoptotic effects on breast cancer and colon cancer cells. It is used as a potent antibacterial and antifungal agent was studied on the antibiotic-resistant bacterial and fungal strains recently, which can be further useful in developing herbal medicine against AMR. It is an excellent natural antioxidant due to the presence of polyphenolic compounds, and H. officinalis is used in various food industries as a source of natural antioxidants, which has minimum side effects as compared to artificial antioxidants. Furthermore, the pharmacological activity of these individual chemical constituents in H. officinalis extract still needs to be investigated for identifying the effectiveness of this plant in the natural treatment of various diseases. This review aims to collect various data regarding the traditional herbal plant hyssop (Hyssopus Officinalis), including its photochemistry, chemical structures of the phyto-constituents and pharmacological profile, along with all the pharmacological models. This plant has significant importance in the health industry, so further studies are required on its effective usage against various emerging health problems, including COVID-19, cancer, diabetes, AMR.

Discovery of novel thiazole derivatives as anti‐breast cancer agents (MCF‐7) and validation of homologous effects on SARS‐CoV‐2 virus using in silico approaches

AbstractThe development of new drugs with activity against breast cancer (MCF‐7) and SARS‐CoV‐2 based on new thiazole derivatives is still of great interest to many scientists. In silico models have been successfully used to orient the design of novel substances, predict IC50 activity, and screen 12 newly designed derivatives of TAZD. The predictive quality of the QSAR models are shown in the statistical values R2train = 0.945, Q2LOO = 0.919, and SE = 8.40 for QSARMLR, and the statistical values R2 = 0.984, Q2test = 0.985, and Q2CV = 0.996 for the QSARANN I(8)‐HL(10)‐O(1) models. The PPI interaction network pharmacological model was used to screen and evaluate the specific effects of TAZDs on target proteins for breast cancer and SARS‐CoV‐2. The obtained TAZD derivatives were consistent in drug‐likeness according to the Lipinski principle. The compound TAZD8 has good inhibitory potential for the 1R42‐PDB protein of breast cancer cells MCF‐7 and the SARS‐CoV‐2 virus. The compound TAZD8 has the ability to strongly bind to the middle region of two proteins, ACE2‐PDB and 6LU7‐PDB. Therefore, thiazole‐based TAZD8 was found to be a derivative with good potential inhibitory activity against Mpro SARS‐CoV‐2 and the 1R42‐PDB protein for breast cancer MCF‐7.

Special Issue on Network Pharmacology Modeling for Drug Discovery

During the process of drug discovery, many compounds have exhibited polypharmacological interactions with various biological entities [...]

A transcriptome-informed QSP model of metastatic triple-negative breast cancer identifies predictive biomarkers for PD-1 inhibition.

Triple-negative breast cancer (TNBC), a highly metastatic breast cancer subtype, has limited treatment options. While a small number of patients attain clinical benefit with single-agent checkpoint inhibitors, identifying these patients before the therapy remains challenging. Here, we developed a transcriptome-informed quantitative systems pharmacology model of metastatic TNBC by integrating heterogenous metastatic tumors. In silico clinical trial with an anti-PD-1 drug, pembrolizumab, predicted that several features, such as the density of antigen-presenting cells, the fraction of cytotoxic T cells in lymph nodes, and the richness of cancer clones in tumors, could serve individually as biomarkers but had a higher predictive power as combinations of two biomarkers. We showed that PD-1 inhibition neither consistently enhanced all antitumorigenic factors nor suppressed all protumorigenic factors but ultimately reduced the tumor carrying capacity. Collectively, our predictions suggest several candidate biomarkers that might effectively predict the response to pembrolizumab monotherapy and potential therapeutic targets to develop treatment strategies for metastatic TNBC.

Identification and characterization of the new generation soluble guanylate cyclase stimulator BAY-747 designed for the treatment of resistant hypertension.

First-generation soluble guanylate cyclase (sGC) stimulators have shown clinical benefit in pulmonary hypertension (riociguat) and chronic heart failure (vericiguat). However, given the broad therapeutic opportunities for sGC stimulators, tailored molecules for distinct indications are required. We report the high-throughput screening (HTS)-based discovery of a second generation of sGC stimulators from a novel imidazo[1,2-a]pyridine lead series. An intense medicinal chemistry programme resulted in the discovery of the sGC stimulator BAY 1165747 (BAY-747). The pharmacokinetic profile of BAY-747 was determined in different species, and it was broadly characterized in pharmacological model systems relevant for vasodilatation and hypertension. BAY-747 is a highly potent sGC stimulator in vitro. In addition, BAY-747 showed an excellent pharmacokinetic profile with long half-life and low peak-to-trough ratio. BAY-747 was investigated in experimental in vivo models of malignant and resistant hypertension (rHT). In spontaneously hypertensive (SH) rats, BAY-747 caused a dose-related and long-lasting decrease in mean arterial blood pressure (MAP). Oral treatment over 12 days resulted in a persistent decrease. BAY-747 provided additional benefit when dosed on top of losartan, amlodipine or spironolactone and even on top of triple combinations of frequently used antihypertensive drugs. In a new canine model of rHT, BAY-747 caused a dose-related and long-lasting (>6 h) MAP decrease. BAY-747 is a potent, orally available sGC stimulator. BAY-747 shows long-acting pharmacodynamic effects with a very low peak-to-trough ratio. BAY-747 could be a treatment alternative for patients with hypertension, especially those not responding to standard-of-care therapy.

Using quantitative systems pharmacology modeling to optimize combination therapy of anti-PD-L1 checkpoint inhibitor and T cell engager.

Although immune checkpoint blockade therapies have shown evidence of clinical effectiveness in many types of cancer, the outcome of clinical trials shows that very few patients with colorectal cancer benefit from treatments with checkpoint inhibitors. Bispecific T cell engagers (TCEs) are gaining popularity because they can improve patients' immunological responses by promoting T cell activation. The possibility of combining TCEs with checkpoint inhibitors to increase tumor response and patient survival has been highlighted by preclinical and clinical outcomes. However, identifying predictive biomarkers and optimal dose regimens for individual patients to benefit from combination therapy remains one of the main challenges. In this article, we describe a modular quantitative systems pharmacology (QSP) platform for immuno-oncology that includes specific processes of immune-cancer cell interactions and was created based on published data on colorectal cancer. We generated a virtual patient cohort with the model to conduct in silico virtual clinical trials for combination therapy of a PD-L1 checkpoint inhibitor (atezolizumab) and a bispecific T cell engager (cibisatamab). Using the model calibrated against the clinical trials, we conducted several virtual clinical trials to compare various doses and schedules of administration for two drugs with the goal of therapy optimization. Moreover, we quantified the score of drug synergy for these two drugs to further study the role of the combination therapy.

Using machine learning surrogate modeling for faster QSP VP cohort generation.

Virtual patients (VPs) are widely used within quantitative systems pharmacology (QSP) modeling to explore the impact of variability and uncertainty on clinical responses. In one method of generating VPs, parameters are sampled randomly from a distribution, and possible VPs are accepted or rejected based on constraints on model output behavior. This approach works but can be inefficient (i.e., the vast majority of model runs typically do not result in valid VPs). Machine learning surrogate models offer an opportunity to improve the efficiency of VP creation significantly. In this approach, surrogate models are trained using the full QSP model and subsequently used to rapidly pre-screen for parameter combinations that result in feasible VPs. The overwhelming majority of parameter combinations pre-vetted using the surrogate models result in valid VPs when tested in the original QSP model. This tutorial presents this novel workflow and demonstrates how a surrogate model software application can be used to select and optimize the surrogate models in a case study. We then discuss the relative efficiency of the methods and scalability of the proposed method.

Morphological Characterization of Human Lung Cancer Organoids Cultured in Type I Collagen Hydrogels: A Histological Approach.

The malignity of lung cancer is conditioned by the tumor microenvironment (TME), in which cancer-associated fibroblasts (CAFs) are relevant. In this work, we generated organoids by combining A549 cells with CAFs and normal fibroblasts (NF) isolated from adenocarcinoma tumors. We optimized the conditions for their manufacture in a short time. We evaluated the morphology of organoids using confocal microscopy analysis of F-actin, vimentin and pankeratin. We determined the ultrastructure of the cells in the organoids via transmission electron microscopy and the expression of CDH1, CDH2 and VIM via RT-PCR. The addition of stromal cells induces the self-organization of the organoids, which acquired a bowl morphology, as well as their growth and the generation of cell processes. They also influenced the expression of genes related to epithelial mesenchymal transition (EMT). CAFs potentiated these changes. All cells acquired a characteristic secretory phenotype, with cohesive cells appearing inside the organoids. In the periphery, many cells acquired a migratory phenotype, especially in organoids that incorporated CAFs. The deposit of abundant extracellular matrix could also be observed. The results presented here reinforce the role of CAFs in the progression of lung tumors and could lay the foundation for a useful in vitro pharmacological model.

Integrating network pharmacology and experimental models to examine the mechanisms of corosolic acid in preventing hepatocellular carcinoma progression through activation PERK-eIF2a-ATF4 signaling.

Hepatocellular carcinoma (HCC) is the most prevalent form of liver cancer, with a high recurrence rate and heterogeneity. We aimed to examine the effect of corosolic acid (CRA) on HCC. We employed transcriptomics to validate the target molecules in CRA-treated HCC cells and conducted enrichment analyses that revealed their involvement in the regulation of endoplasmic reticulum (ER) stress and apoptosis. Our experimental data indicated that CRA markedly induced apoptosis in human HCC cell lines through the mitochondrial apoptosis pathway. We also revealed that the pro-apoptotic effects of CRA depended on ER stress, as pretreatment with selective ERS inhibitor salubrinal effectively reversed CRA-induced cell apoptosis. Furthermore, the knockdown of the unfolded protein response (UPR) protein CHOP remarkably abrogated CRA-induced expression of ER stress-associated proteins. Collectively, our results suggest that CRA triggers ER stress-mediated apoptosis in HCC cells via activation of the PERK-eIF2a-ATF4 pathway. Our findings provide novel insights into the potential therapeutic strategies for HCC.

Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition

Generating realistic virtual patients from a limited amount of patient data is one of the major challenges for quantitative systems pharmacology modeling in immuno-oncology. Quantitative systems pharmacology (QSP) is a mathematical modeling methodology that integrates mechanistic knowledge of biological systems to investigate dynamics in a whole system during disease progression and drug treatment. In the present analysis, we parameterized our previously published QSP model of the cancer-immunity cycle to non-small cell lung cancer (NSCLC) and generated a virtual patient cohort to predict clinical response to PD-L1 inhibition in NSCLC. The virtual patient generation was guided by immunogenomic data from iAtlas portal and population pharmacokinetic data of durvalumab, a PD-L1 inhibitor. With virtual patients generated following the immunogenomic data distribution, our model predicted a response rate of 18.6% (95% bootstrap confidence interval: 13.3-24.2%) and identified CD8/Treg ratio as a potential predictive biomarker in addition to PD-L1 expression and tumor mutational burden. We demonstrated that omics data served as a reliable resource for virtual patient generation techniques in immuno-oncology using QSP models.

ANRIL promotes the regulation of colorectal cancer on lymphatic endothelial cells via VEGF-C and is the key target for Pien Tze Huang to inhibit cancer metastasis

lncRNA ANRIL is an oncogene, however the role of ANRIL in the regulation of colorectal cancer on human lymphatic endothelial cells (HLECs) is remain elusive. Pien Tze Huang (PZH, PTH) a Tradition Chinese Medicine (TCM) as an adjunctive medication could inhibit the cancer metastasis, however the mechanism still uncovering. We used network pharmacology, subcutaneous and orthotopic transplanted colorectal tumors models to determine the effect of PZH on tumor metastasis. Differential expressions of ANRIL in colorectal cancer cells, and stimulating the regulation of cancer cells on HLECs by culturing HLECs with cancer cells’ supernatants. Network pharmacology, transcriptomics, and rescue experiments were carried out to verify key targets of PZH. We found PZH interfered with 32.2% of disease genes and 76.7% of pathways, and inhibited the growth of colorectal tumors, liver metastasis, and the expression of ANRIL. The overexpression of ANRIL promoted the regulation of cancer cells on HLECs, leading to lymphangiogenesis, via upregulated VEGF-C secretion, and alleviated the effect of PZH on inhibiting the regulation of cancer cells on HLECs. Transcriptomic, network pharmacology and rescue experiments show that PI3K/AKT pathway is the most important pathway for PZH to affect tumor metastasis via ANRIL. In conclusion, PZH inhibits the regulation of colorectal cancer on HLECs to alleviate tumor lymphangiogenesis and metastasis by downregulating ANRIL dependent PI3K/AKT/VEGF-C pathway.

Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study

Epileptiform activity is associated with worse patient outcomes, including increased risk of disability and death. However, the effect of epileptiform activity on neurological outcome is confounded by the feedback between treatment with antiseizure medications and epileptiform activity burden. We aimed to quantify the heterogeneous effects of epileptiform activity with an interpretability-centred approach. We did a retrospective, cross-sectional study of patients in the intensive care unit who were admitted to Massachusetts General Hospital (Boston, MA, USA). Participants were aged 18 years or older and had electrographic epileptiform activity identified by a clinical neurophysiologist or epileptologist. The outcome was the dichotomised modified Rankin Scale (mRS) at discharge and the exposure was epileptiform activity burden defined as mean or maximum proportion of time spent with epileptiform activity in 6 h windows in the first 24 h of electroencephalography. We estimated the change in discharge mRS if everyone in the dataset had experienced a specific epileptiform activity burden and were untreated. We combined pharmacological modelling with an interpretable matching method to account for confounding and epileptiform activity-antiseizure medication feedback. The quality of the matched groups was validated by the neurologists. Between Dec 1, 2011, and Oct 14, 2017, 1514 patients were admitted to Massachusetts General Hospital intensive care unit, 995 (66%) of whom were included in the analysis. Compared with patients with a maximum epileptiform activity of 0 to less than 25%, patients with a maximum epileptiform activity burden of 75% or more when untreated had a mean 22·27% (SD 0·92) increased chance of a poor outcome (severe disability or death). Moderate but long-lasting epileptiform activity (mean epileptiform activity burden 2% to <10%) increased the risk of a poor outcome by mean 13·52% (SD 1·93). The effect sizes were heterogeneous depending on preadmission profile-eg, patients with hypoxic-ischaemic encephalopathy or acquired brain injury were more adversely affected compared with patients without these conditions. Our results suggest that interventions should put a higher priority on patients with an average epileptiform activity burden 10% or greater, and treatment should be more conservative when maximum epileptiform activity burden is low. Treatment should also be tailored to individual preadmission profiles because the potential for epileptiform activity to cause harm depends on age, medical history, and reason for admission. National Institutes of Health and National Science Foundation.