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.

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 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.

Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous chronic Respiratory disease. In the past 20 years, precision medicine has gradually integrated into the management of COPD. At present, individualized treatment is mainly based on its symptoms, acute exacerbation risk and eosinophil count. In the future, with the development of risk factors and their pathophysiology, quantitative imaging technology, biomarkers and gene analysis, precision medicine will have further development in the management of COPD treatment.

Objective:To analyze the response of patients with chronic obstructive pulmonary disease (COPD) with multiple and few symptoms to different inhalation drugs, including acute exacerbation and symptom changes.Methods:This study was a multi center, retrospective Cohort study. The subjects of this study were patients with chronic obstructive pulmonary disease in stable stage in 12 hospitals in Hunan and Guangxi from December 2016 to February 2022. Demographics data, lung function, Chronic Obstructive Pulmonary Disease Assessment test questionnaire (CAT) score, modified British Medical Research Council dyspnea questionnaire (mMRC) score and inhalation drug scheme of patients were collected. According to the CAT and mMRC scores, patients were divided into a multi symptom group (CAT≥10 points or mMRC≥2 points) or a few symptom group (CAT<10 points and mMRC<1 point); Subsequently, they were divided into four subgroups based on the inhalation drug regimen: long-acting anticholinergic drugs (LAMA) group, long-acting β2-receptor agonists (LABA)+ inhaled corticosteroids (ICS) group, LABA+ LAMA group, and LABA+ LAMA+ ICS group. All patients were followed up for 1 year, with minimum clinical improvement (MCID) defined as a decrease of ≥2 points in the patient′s CAT score at 6 months, and clinical symptom deterioration (CSD) defined as an increase of ≥2 points in the patient′s CAT score at 6 months.Results:A total of 929 patients with chronic obstructive pulmonary disease were included, including 719(77.4%) with multiple symptoms and 210(22.6%) with few symptoms. There was no statistically significant difference in MCID, CSD, acute exacerbation, hospitalization frequency, and mortality rate among subgroups of asymptomatic COPD patients treated with different inhalation drug regimens (all P>0.05). Among patients with multiple symptoms of chronic obstructive pulmonary disease, compared to those who use LAMA or LABA+ ICS, those who used LABA+ LAMA or LABA+ LAMA+ ICS were more likely to obtain MCID and had a more significant improvement in CAT scores, and the risk of acute exacerbation is lower (all P<0.05). Conclusions:Lesser symptomatic COPD patients should receive single drug LAMA as the initial inhalation treatment drug, while multi symptomatic COPD patients should receive LABA+ LAMA as the initial inhalation treatment drug.

Objective:To explore the risk factors of acute exacerbation (AE) of chronic obstructive pulmonary disease (COPD) and whether Eosinophil (EOS) in peripheral blood can guide the treatment of inhaled corticosteroids (ICS).Methods:This study was a single center, Prospective cohort study. The subjects of this study were from stable COPD patients who were treated in the Department of Respiratory Medicine of the Xiangya Second Hospital of Central South University from January 2020 to December 2021. Patient general information, past year AE status, exposure risk factors, modified version of the British Medical Research Council Respiratory Difficulty Questionnaire (mMRC) score, Chronic Obstructive Pulmonary Disease Assessment Questionnaire (CAT) score, ICS usage, lung function, blood routine, etc. were collected. We followed up the patient for one year. During the follow-up period, the clinical characteristics of patients with and without AE were compared to analyze the correlation between blood EOS and ICS use.Results:The median blood EOS of 617 stable COPD patients was 0.13×10 9/L, 289 patients (46.8%) with chronic obstructive pulmonary disease had a history of AE, and 207 patients (33.5%) experienced AE during 1-year follow-up. The results of univariate analysis showed that the future occurrence of AE in COPD was correlated with body mass index (BMI), AE history, Global Initiative for Chronic Obstructive Lung Disease (GOLD) grading, GOLD grouping, mMRC score, and CAT score (all P<0.05). The results of logistic multiple factor regression analysis showed that patients with BMI<24 kg/m 2, AE in the past year, severe AE in the past year, smoking history and other exposure factors, GOLD level 2 or above, GOLD C and D groups, and mMRC score≥ 2 had a higher risk of future AE (all P<0.05). There was no statistically significant difference in the incidence of AE between patients with COPD with different levels of EOS and those without ICS during a 1-year follow-up period (all P>0.05). Conclusions:The past 1-year AE history, BMI, exposure risk factors, degree of airflow restriction, and respiratory symptoms of patients with chronic obstructive pulmonary disease can predict future AE risk. There is no significant difference in future AE risk among patients with different levels of EOS, and EOS cannot guide ICS treatment to reduce AE risk.