ObjectiveTo assess the efficiency of a Sophora flavescens Ait (S. flavescens, Ku Shen)-soluble microneedle (SFA-MN) for improving skin lesion symptoms in mice with psoriasis.MethodsSFA-MNs were prepared using a two-mold molding process with 20% w/v polyvinylpyrrolidone and 15% w/v polyvinyl alcohol. The SFA-MNs were assessed for morphology, mechanical properties, in vitro dissolution, identification of components, and skin lesion improvement in imiquimod-induced psoriasis mice.ResultsThe SFA-MNs demonstrated good mechanical properties for efficiently penetrating the dermis, facilitating efficient drug delivery. Furthermore, they effectively inhibited mast cell levels in the dorsal lesion area of psoriasis mice and reduced the expression of the T-lymphocyte factor cluster of differentiation 3 and tumor necrosis factor-α. In addition, this system alleviated skin inflammation, splenic swelling, and thymic atrophy in the psoriasis-like mouse model. Seven major components were detected from SFA-MNs by comparison of the mass-to-nucleus ratios (m/z) of the secondary fragments N-methylcytisine, 5α, 9α-dihydroxymatrine, sophoramine, matrine, oxysophocarpine, oxymatrine, and kushenol O.ConclusionThe drug delivery strategy combining traditional herbal S. flavescens with soluble microneedle technology provides more targeted and effective immune regulation for treating psoriasis-like mice models, enabling enhanced therapeutic effects compared with the control group.

ObjectiveGastric cancer (GC) seriously affects human health and life, and research has shown that it is closely related to the serine/glycine metabolism. The proliferation ability of tumor cells is greatly influenced by the metabolism of serine and glycine. The aim of this study was to investigate the molecular mechanism of serine/glycine metabolism can affect the proliferation of gastric cancer cells. MethodsIn this work, a stable metabolic dynamic model of gastric cancer cells was established via a large-scale metabolic network dynamic modeling method in terms of a potential landscape description of stochastic and non-gradient systems. Based on the regulation of the model, a quantitative analysis was conducted to investigate the dynamic mechanism of serine/glycine metabolism affecting the proliferation of gastric cancer cells. We introduced random noise to the kinetic equations of the general metabolic network, and applied stochastic kinetic decomposition to obtain the Lyapunov function of the metabolic network parameter space. A stable metabolic network was achieved by further reducing the change in the Lyapunov function tied to the stochastic fluctuations. ResultsDespite the unavailability of a large number of dynamic parameters, we were able to successfully construct a dynamic model for the metabolic network in gastric cancer cells. When extracellular serine is available, the model preferentially consumes serine. In addition, when the conversion rate of glycine to serine increases, the model significantly upregulates the steady-state fluxes of S-adenosylmethionine (SAM) and S-adenosyl homocysteine (SAH). ConclusionIn this paper, we provide evidence supporting the preferential uptake of serine by gastric cancer cells and the important role of serine/glycine conversion rate in SAM generation, which may affect the proliferation ability of gastric cancer cells by regulating the cellular methylation process. This provides a new idea and direction for targeted cancer therapy based on serine/glycine metabolism.

Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P＜0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P＞0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P＞0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.

Objective:To investigate the association between exposure to major air pollutants (including PM 2.5, PM 10, NO 2, SO 2, O 3 and CO) and 28-day all-cause mortality in patients admitted to the intensive care unit (ICU). Methods:The electronic medical records of critically ill patients admitted to the ICU in Hubei Province General Hospital and Jingzhou Central Hospital were collected from August 2018 to August 2019 and from May 2021 to May 2022. Patients' exposure to air pollutants was assessed based on the average concentrations at their place of residence during the previous two months. A generalized linear regression model was used to estimate the association between air pollutant exposure and 28-day all-cause mortality in critically ill patients. Subgroup analysis was then conducted to examine the impact of individual air pollutant exposure on 28-day mortality, which served as the primary outcome in this study. The effect size and confidence interval were adjusted for patient characteristics including age, gender, smoking or drinking habits, length of hospital stay, and SOFA score. Additionally, mediation analysis was conducted using the mediation package (Bruce R) in R software. The direct effect represented the association between exposure to air pollutants and risk of mortality, while the indirect effect aimed to assess whether neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and monocyte- lymphocyte ratio (MLR) served as mediating variables in the correlation between exposure to air pollutants and mortality risk.Results:The study included a total of 3 772 critically ill patients admitted to the ICU, with a 28-day all-cause mortality rate of 40.0% (1 509/3 772). A significant positive correlation was observed between an incremental increase of 1 μg/m 3 in air pollutants (specifically PM 2.5, NO 2 and CO) and an elevated risk of mortality within 28 days among critically ill patients. Conversely, there is an inverse relationship between O 3 levels and mortality risk. Additionally, male gender and SOFA rating >3 scores were identified as independent risk factors for all-cause mortality in ICU patients exposed to NO 2 or CO. The Neutrophil/lymphocyte ratio (NLR) played a mediating role in the correlation between PM 2.5 or CO exposure and mortality risk, accounting for 9.09% or 4.71% of the correlations, respectively. Conclusions:The exposure to air pollutants (PM 2.5, NO 2, CO) significantly associate with a high risk of 28-day all-cause mortality in ICU patients. Even at low levels of air pollution, NO 2, CO remains positively correlate with the mortality risk in critically ill patients, who belong to a vulnerable population.

Objective:To compare the therapeutic effects of different inhaled medications on patients with frequent cough in chronic obstructive pulmonary disease (COPD), including changes in symptoms and acute exacerbation.Methods:This study was based on the RealDTC study, and the study subjects were stable COPD patients from the Department of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University from December 2016 to March 2023. The demographic characteristics, smoking status, history of biofuel exposure, history of acute exacerbation in the past year, lung function, COPD Assessment Test (CAT) score, modified British Medical Research Council Respiratory Difficulty Questionnaire (mMRC) score, and inhalation medication regimen of the patients were collected. Patients with frequent cough are defined as having a cough score of ≥2 in the first item of the CAT score. According to the type of inhaled medication, patients with frequent cough are divided into l long-acting muscarine anticholinergic (LAMA), long-acting β2 agonists (LABA)+ LAMA, inhaled corticosteroids (ICS)+ LABA, and ICS+ LABA+ LAMA groups. At the 6th month follow-up, CAT scores were collected and symptom control was evaluated, including minimum clinical improvement (MCID) (defined as a decrease of ≥2 points from baseline in CAT scores at the 6th month) and improvement in cough symptoms (defined as a decrease of ≥1 point from baseline in cough scores). During a one-year follow-up, the number of acute exacerbations was evaluated. The relationship between different inhaled medications and prognosis in patients with frequent cough in COPD was evaluated using multivariate logistic regression analysis.Results:A total of 653 patients with frequent cough in COPD were included, with a CAT score of (16.4±6.1) and a cough score of 3(2, 3). After 6 months of follow-up, 403 patients (61.7%) achieved MCID, and 394 patients (60.3%) had improved cough symptoms; During a one-year follow-up, 227 patients (34.8%) experienced acute exacerbation. After receiving inhalation medication treatment, the CAT scores and cough scores of four groups of patients with frequent cough, namely LAMA, LABA+ LAMA, ICS+ LABA, and ICS+ LABA+ LAMA, decreased compared to before treatment (all P<0.05). There was a statistically significant difference in the proportion of △CAT score, MCID, and acute exacerbation among the four groups of LAMA, LABA+ LAMA, ICS+ LABA, and ICS+ LABA+ LAMA (all P<0.05), while there was no statistically significant difference in the proportion of △cough score and cough score reduction ≥1 point (all P>0.05). The results of multivariate logistic regression analysis showed that compared with patients treated with LAMA or ICS+ LABA drugs, patients with frequent cough in COPD treated with LABA+ LAMA or ICS+ LABA+ LAMA drugs were more likely to achieve MCID and less likely to experience acute exacerbation (all P<0.05). Conclusions:Compared with LAMA or ICS+ LABA, patients with frequent cough in COPD who receive LABA+ LAMA or ICS+ LABA+ LAMA drug treatment are more likely to improve symptoms and have a lower risk of acute exacerbation.

Objective:To explore the impact of sleep disorders on the therapeutic effects of different inhaled medications in patients with chronic obstructive pulmonary disease (COPD).Methods:A prospective observational study was conducted on 393 patients with stable COPD who visited the Department of Respiratory and Critical Care Medicine, the Second Xiangya Hospital, Central South University from December 2020 to September 2021. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality of patients with chronic obstructive pulmonary disease, and patients were divided into a non sleep disorder group and a sleep disorder group. The Berlin questionnaire was used to assess the risk of obstructive sleep apnea syndrome (OSAS) in patients, and the hospital anxiety and depression questionnaire (HADS) was used to assess the presence of anxiety and depression in patients. The improvement of symptoms [minimum clinically significant difference (MCID)] and the deterioration of symptoms [clinical significant symptom deterioration (CID)] within six months of patient follow-up were evaluated. The moderate to severe acute exacerbation of the patient was recorded during the one-year follow-up period. The clinical characteristics of two groups of patients were compared, and multiple regression analysis was used to evaluate the relationship between sleep quality and the prognosis of chronic obstructive pulmonary disease, as well as the impact of sleep disorders on the treatment efficacy of different inhaled drugs.Results:The average age of 393 patients with chronic obstructive pulmonary disease was (62.9±8.3)years old, with a median percentage of forced expiratory volume in the first second (FEV 1%) of 53.7%(30.7%) and a mean PSQI score of (5.7±3.4)points. 186 cases (47.3%) of patients had sleep disorders. Compared with patients in the non sleep disorder group, patients in the sleep disorder group had a higher proportion of middle school education and below, lower FEV 1 and FEV 1/forced vital capacity (FVC), higher baseline COPD Assessment Test (CAT), modified Medical Research Council (mMRC) and Clinical COPD Questionnaire (CCQ) scores, and a higher proportion of comorbid anxiety (all P<0.05). Compared with patients without sleep disorders, patients with sleep disorders had a lower incidence of MCID ( P=0.030) and a higher incidence of CID ( P=0.005). During the one-year follow-up period, patients with sleep disorders experienced a higher proportion of moderate to severe acute exacerbation ( P=0.001), severe acute exacerbation ( P=0.003), and frequent acute exacerbation ( P=0.009). The results of multiple regression analysis showed that patients with sleep disorders had a lower likelihood of developing MCID ( OR: 0.288, 95% CI: 0.145-0.379, P<0.001), and an increased risk of developing CID ( OR: 3.150, 95% CI: 2.011-4.388, P<0.001) and acute exacerbation ( OR: 1.659, 95% CI: 1.162-2.368, P=0.005). Compared with patients using long-acting muscarinic antagonist (LAMA) or inhaled corticosteroids (ICS)+ long-acting β2-agonist (LABA), patients in the sleep disorder group who used LABA+ LABA were more likely to develop MCID ( OR: 1.420, 95% CI: 1.021-2.751, P=0.010; OR: 1.976, 95% CI: 1.123-2.227, P=0.023). Conclusions:Compared with patients without sleep disorders, COPD patients with sleep disorders have a lower likelihood of symptom improvement, and a higher risk of symptom deterioration and acute exacerbation.Patients with COPD with sleep disorders are more likely to achieve symptom improvement by using LABA+ LAMA.

In this study, we explored the mechanism of Huganning tablet (HGNP) in the treatment of nonalcoholic fatty liver disease (NAFLD) based on network pharmacology and computer-aided drug design. Firstly, the potential ingredients and targets of HGNP were identified from TCMSP database, Swiss Target Prediction database, Chinese pharmacopoeia (2015) and literatures, and then the targets of HGNP intersected with NAFLD disease targets that obtained in GeneCards database to acquired potential targets. The bioconductor bioinformatics package of R software was used for gene ontology (GO) enrichment and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis. The network of “potential ingredient-key target-pathway” was formed in Cytoscape software to study the interactions between potential ingredients of HGNP, key targets, pathways and NAFLD. Based on the results of network pharmacology, the molecular docking analysis of the key targets and potential active ingredients in HGNP tablets with top degree in the network was conducted using Discovery Studio 2020 software, followed by molecular dynamics simulations, binding free energy calculation, drug-likeness properties analysis and ADMET (absorption, distribution, metabolism, excretion and toxicity) properties prediction. In vitro, HepG2 cells were used to establish steatosis model, and the effects of five key compounds on hepatocyte steatosis were analyzed by oil red O staining and triglyceride (TG) content determination. The results showed that 141 ingredients and 151 potential targets were obtained. A total of 2 526 items and 151 pathways were identified by GO and KEGG enrichment analysis. The molecular docking suggested that five components, isorhamnetin, salvianolic acid B, emodin, resveratrol and rhein, exhibited strong binding ability with key targets [retinoic acid receptor RXR-alpha (RXRA), tumor necrosis factor (TNF), glycogen synthase kinase-3 beta (GSK3B), serine/threonine-protein kinase 1 (AKT1)]. It was further verified that isorhamnetin and salvianolic acid B bind to key targets with good structural stability and binding affinity based on molecular dynamics simulations and binding free energy calculations. The drug-likeness properties, pharmacokinetic properties and toxicity of five key compounds were more comprehensively analyzed through drug-likeness properties analysis and ADMET properties prediction. In vitro, all five compounds, isorhamnetin, salvianolic acid B, emodin, resveratrol, and rhein, improved hepatocyte steatosis of HepG2 cells, confirming the reliability of the present study. In conclusion, based on network pharmacology, computer-aided drug design and in vitro validation, this study investigated the mechanism of HGNP for the treatment of NAFLD at multiple levels and provided a basis for its clinical application.

Metabolic reprogramming is a common phenomenon in cancer, with aerobic glycolysis being one of its important characteristics. Hypoxia-inducible factor-1α (HIF1Α) is thought to play an important role in aerobic glycolysis. Meanwhile, naringin is a natural flavanone glycoside derived from grapefruits and many other citrus fruits. In this work, we identified glycolytic genes related to HIF1Α by analyzing the colon cancer database. The analysis of extracellular acidification rate and cell function verified the regulatory effects of HIF1Α overexpression on glycolysis, and the proliferation and migration of colon cancer cells. Moreover, naringin was used as an inhibitor of colon cancer cells to illustrate its effect on HIF1Α function. The results showed that the HIF1Α and enolase 2 (ENO2) levels in colon cancer tissues were highly correlated, and their high expression indicated a poor prognosis for colon cancer patients. Mechanistically, HIF1Α directly binds to the DNA promoter region and upregulates the transcription of ENO2; ectopic expression of ENO2 increased aerobic glycolysis in colon cancer cells. Most importantly, we found that the appropriate concentration of naringin inhibited the transcriptional activity of HIF1Α, which in turn decreased aerobic glycolysis in colon cancer cells. Generally, naringin reduces glycolysis in colon cancer cells by reducing the transcriptional activity of HIF1Α and the proliferation and invasion of colon cancer cells. This study helps to elucidate the relationship between colon cancer progression and glucose metabolism, and demonstrates the efficacy of naringin in the treatment of colon cancer.
Glycolysis ; Colonic Neoplasms/metabolism* ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Phosphopyruvate Hydratase/metabolism* ; Flavanones/pharmacology* ; Cell Line, Tumor ; Databases, Genetic ; Cell Proliferation/drug effects* ; Transfection ; Warburg Effect, Oncologic

OBJECTIVE To study the mechanism of interfering with long non-coding RNA nicotinamide nucleotide transhydrogenase-antisense RNA1 （LncRNA NNT-AS1） expressing to reduce paclitaxel （TAX） resistance in non-small cell lung cancer （NSCLC） cells. METHODS NSCLC TAX-resistant cell line （A549/TAX） was constructed， and the expressions of LncRNA NNT-AS1 in normal， parental， and drug-resistant cells were observed. The targeting relationship of microRNA-582-5p （miR-582- 5p） with LncRNA NNT-AS1 and high mobility group box2 （HMGB2） was verified. A549/TAX cells were cultured in vitro to observe the effects of interfering with LncRNA NNT-AS1 alone or interfering with LncRNA NNT-AS1 and miR-582-5p on the expressions of LncRNA NNT-AS1 and miR-582-5p， the mRNA and protein expressions of HMGB2， cell viability， clone formation and apoptosis. The effects of interfering with LncRNA NNT-AS1 on tumor growth and the expression of miR-582-5p and the mRNA and protein expressions of HMGB2 in tumor tissue were observed in nude mice. RESULTS Compared with normal cells， LncRNA NNT-AS1 was highly expressed in parental and drug-resistant cells （P＜0.05）， showing an increasing trend. It was validated that miR-582-5p had a targeting relationship with LncRNA NNT-AS1 and HMGB2. After interfering with the expression of LncRNA NNT-AS1， the expression of LncRNA NNT-AS1 and the mRNA and protein expressions of HMGB2， cell viability and the number of cloned cells in A549/TAX cell， decreased significantly， while the expression of miR-582-5p and the apoptotic rate increased significantly （P＜0.05）； simultaneously interfering with the expression of miR-582-5p could reverse above changes （P＜ 0.05）. Interfering with the expression of LncRNA NNT-AS1 in tumor cell could significantly reduce tumor volume and tumor weight of nude mice bearing tumors； at the same time， the expression of miR-582-5p was up-regulated significantly and the mRNA and protein expressions of HMGB2 were down-regulated significantly （P＜0.05）. CONCLUSIONS Interfering with the expression of LncRNA NNT-AS1 may alleviate TAX chemotherapy resistance in NSCLC through targeted up-regulation of miR-582-5p and down-regulation of HMGB2.

Objective:To explore the prediction model of tissue chip technology for the chemotherapy response of patients with colorectal cancer.Methods:217 patients with colorectal cancer who had received standardized chemotherapy in the Affiliated People’s Hospital of Ningbo University from Jan. 2017 to Dec. 2019 were prospectively selected. The patients were randomly divided into training set (152 cases) and test set (65 cases) according to the ratio of 7:3, and were followed up for 6 months. The clinical data of the patients in the training set were compared, the expression levels of Ang-2, caspase-3 and CD147 in the patients were analyzed by tissue microarray technology, and the related factors affecting the responsiveness of colorectal cancer chemotherapy were analyzed by the Logistic regression model. R software was used based on the training set. A nomogram prediction model was built and model performance on the test set was evaluated.Results:One case was excluded from the training center, and 151 cases were finally included, including 93 cases in the chemotherapy response group and 58 cases in the chemotherapy response group. The tumor diameter, serum carcinoembryonic antigen, caspase3, Ang2 expression level, and the proportion of clinical stage IV in the poor chemotherapy group were significantly higher than those in the good chemotherapy group (all P<0.05) ; Logistic regression showed tumor diameter ( OR=2.394), serum carcinoembryonic antigen ( OR=1.878), caspase-3 ( OR=4.261), Ang-2 expression level ( OR=5.457), and clinical stage IV ( OR=5.954) were independent risk factors for adverse drug reactions in patients with colorectal cancer (all P<0.05). The consistency index (C-index) for predicting the factors related to adverse chemotherapy reactions in patients with colorectal cancer was 0.915. External verification showed that the sensitivity was 86.96%, the specificity was 92.50%, and the accuracy was 90.48% (42/65) . Conclusion:The expression levels of Ang-2 and caspase-3 are correlated with the responsiveness of colorectal cancer to chemotherapy, and can be used as predictive indicators to evaluate the responsiveness of colorectal cancer to chemotherapy.