Ursodeoxycholic acid (UDCA) is a naturally occurring, low-toxicity, and hydrophilic bile acid (BA) in the human body that is converted by intestinal flora using primary BA. Solute carrier family 7 member 11 (SLC7A11) functions to uptake extracellular cystine in exchange for glutamate, and is highly expressed in a variety of human cancers. Retroperitoneal liposarcoma (RLPS) refers to liposarcoma originating from the retroperitoneal area. Lipidomics analysis revealed that UDCA was one of the most significantly downregulated metabolites in sera of RLPS patients compared with healthy subjects. The augmentation of UDCA concentration (≥25 μg/mL) demonstrated a suppressive effect on the proliferation of liposarcoma cells. [¹⁵N₂]-cystine and [¹³C₅]-glutamine isotope tracing revealed that UDCA impairs cystine uptake and glutathione (GSH) synthesis. Mechanistically, UDCA binds to the cystine transporter SLC7A11 to inhibit cystine uptake and impair GSH de novo synthesis, leading to reactive oxygen species (ROS) accumulation and mitochondrial oxidative damage. Furthermore, UDCA can promote the anti-cancer effects of ferroptosis inducers (Erastin, RSL3), the murine double minute 2 (MDM2) inhibitors (Nutlin 3a, RG7112), cyclin dependent kinase 4 (CDK4) inhibitor (Abemaciclib), and glutaminase inhibitor (CB839). Together, UDCA functions as a cystine exchange factor that binds to SLC7A11 for antitumor activity, and SLC7A11 is not only a new transporter for BA but also a clinically applicable target for UDCA. More importantly, in combination with other antitumor chemotherapy or physiotherapy treatments, UDCA may provide effective and promising treatment strategies for RLPS or other types of tumors in a ROS-dependent manner.

Objective To construct the demand model of four types of medical resources including beds in hospi-tal,beds in intensive care unit(ICU),ventilators and medical human resources during the major infectious disease epidemic events,simulate and analyze the treatment of infectious diseases when different medical resources are in short supply.Methods Based on the susceptible-exposed-infectious-recovered(SEIR)model,considering the infec-tivity of infected persons,the susceptibility of the population and the immunity of convalescents,the characteristics of asymptomatic COVID-19 patients and different clinical types,the"COVID-19 infection-hospitalization model"was constructed.By collecting and setting the parameters of disease transmission,clinical course and medical re-source shortage scenarios,an analysis model of allocation and supply of urban medical resources during infectious di-sease epidemic events was initially formed based on Anylogic platform,the supply and demand of medical resources during infectious disease events in different scenarios were analyzed.Results In the non-intervention scenario,the peak time of bed demand was on the 107th day,and the peak value was 160.92 beds per thousand people;the peak time of ventilator demand was on the 122nd day,and the peak value was 5.61 units per thousand people;the peak time of ICU bed demand was on the 117th day,and the peak value was 12.78 beds per thousand people;the peak time of the demand for medical human resources was on the 109th day,and the peak value was 151.12 persons per thousand persons.The simulation results suggested that there were some differences in the impact of different medi-cal resources on the outcome of medical treatment.Conclusion This study constructs an analytical tool for the allo-cation and supply of urban medical resources under the epidemic events of infectious diseases,and the results of mul-tiple simulation experiments suggest that bed resources and medical human resources play more important roles in the outcome of medical treatment.

Objective:To investigate the effects of Curcumol on the malignant biological characteristics of acute myeloid leukemia (AML)cells and its molecular mechanism,and to provide theoretical and experimental evidence for the anti-leukemia treatment of traditional Chinese medicine.Methods:After the AML cell lines HL-60 and KG-1 cells were treated different concentrations of with Curcumol.The proliferation activity of cells was detected by CCK-8 method,and the expression changes of apoptotic proteins and PI3 K/AKT signaling pathway proteins were detected by Western blot. Real-time quantitative fluorescence polymerase chain reaction (RT-qPCR ) was used to detect the expression of Caspase family mRNA.Results:Curcumol could inhibit the proliferation and induce apoptosis of HL-60 and KG-1 cells,promote apoptosis by up-regulating the expression of Bax and down-regulating the expression of Bcl-2 protein (P<0.05).When Curcumol interferes with HL-60 and KG-1 cells,it can also induce programmed cell death of AML by inhibiting PI3 K/AKT signaling pathway.In addition,after the intervention of Curcumol,the expression of Caspase 3,Caspase 6,Caspase 8 and Caspase 9 were up-regulated in HL-60 cells (P<0.05 ),the expression of Caspase 3,Caspase 8 and Caspase 9 were significantly up-regulated in KG-1 cells (P<0.01),while the expression of Caspase 6 was weakly affected (P<0.05 ),but low concentration of Curcumol (<60 μg/ml)had no effect on the expression of Caspase 6 in KG-1 cells (P>0.05).Conclusion:Curcumol may mediate the programmed death of AML cells by inhibiting the PI3K/AKT signaling pathway,affecting the expression of Bcl-2 family proteins,and promoting the activation of core members of Caspase family,so as to play an anti-leukemia role.

A quartz crystal microbalance(QCM)-systematic evolution of ligands by the exponential en-richment(SELEX)technique was developed to screen out aptamers with high affinity for arsenic(Ⅲ).A random single strand DNA library was designed and fixed on the mercaptoethylamine-modified crystal plate with arsenic(Ⅲ)as the target,and the free aptamer was captured in the solution,and the QCM-SELEX screening method was constructed.After 6 rounds of screening,the secondary library was se-quenced with high throughput method,and the 6S1 dissociation coefficient Kd value was 0.36 μmol/L based on QCM resonance frequency.Using 6S1 as a probe,the QCM biosensor was constructed for the detection of arsenic(Ⅲ).The sensor has a good linear relationship in the range of 0.01 μmol/L～0.2μmol/L,and the detection limit of arsenic(Ⅲ)is 5.2 nmol/L(3σ),indicatinggood selectivity.

Objective:To analyze and explore the effects of Huayu Jiedu Decoction on the malignant biological characteristics of multiple myeloma(MM)cells and its molecular mechanism,so as to provide experimental basis and theoretical basis for the alternative therapy of anti-MM in traditional Chinese medicine.Methods:Different concentrations of Huayu Jiedu Decoction were used to intervene myeloma U266 cells.The changes of cell proliferation activity were detected by CCK-8 assay,apoptosis was detected by Annexin V/PI double staining flow cytometry,and apoptosis and protein expression of related signaling pathways were detected by Western blot.Real-time quantitative PCR was used to detect mRNA expression changes of high mobility group protein B1(HMGB1),CXC chemokine receptor 4(CXCR4)and interleukin-6(IL-6).Results:Huayu Jiedu Decoction inhibited the proliferative activity of U266 cells and induced their apoptosis in a concentration and time dependent manner(r=-0.713,r=-0.827).After treatment with Huayu Jiedu Decoction for 48 h,the expressions of anti-apoptotic protein Bcl-2 and survivin were down-regulated,while the expression of pro-apoptotic protein Bax was up-regulated,and the phosphorylation level of TLR4/NF-κB signaling pathway was inhibited.After intervention of Huayu Jiedu decoction,the expressions of HMGB1 and IL-6 mRNA were significantly decreased,while the expression of CXCR4 was not significantly decreased.Conclusion:Huayu Jiedu Decoction can inhibit the proliferative activity of U266 cells and induce programmed death.Its molecular mechanism may be related to regulating the expression of apoptotic proteins,inhibiting the activation of TLR4/NF-κB pathway and down-regulating the expression of HMGB1 and IL-6 mRNA.

OBJECTIVE: To evaluate the effectiveness and safety of Chinese medicine (CM) in the treatment of coronavirus disease 2019 (COVID-19) in China. METHODS: A multi-center retrospective cohort study was carried out, with cumulative CM treatment period of ⩾3 days during hospitalization as exposure. Data came from consecutive inpatients from December 19, 2019 to May 16, 2020 in 4 medical centers in Wuhan, China. After data extraction, verification and cleaning, confounding factors were adjusted by inverse probability of treatment weighting (IPTW), and the Cox proportional hazards regression model was used for statistical analysis. RESULTS: A total of 2,272 COVID-19 patients were included. There were 1,684 patients in the CM group and 588 patients in the control group. Compared with the control group, the hazard ratio (HR) for the deterioration rate in the CM group was 0.52 [95% confidence interval (CI): 0.41 to 0.64, P<0.001]. The results were consistent across patients of varying severity at admission, and the robustness of the results were confirmed by 3 sensitivity analyses. In addition, the HR for all-cause mortality in the CM group was 0.29 (95% CI: 0.19 to 0.44, P<0.001). Regarding of safety, the proportion of patients with abnormal liver function or renal function in the CM group was smaller. CONCLUSION This real-world study indicates that the combination of a full-course CM therapy on the basic conventional treatment, may safely reduce the deterioration rate and all-cause mortality of COVID-19 patients. This result can provide the new evidence to support the current treatment of COVID-19. Additional prospective clinical trial is needed to evaluate the efficacy and safety of specific CM interventions. (Registration No. ChiCTR2200062917).
Humans ; Retrospective Studies ; Male ; Female ; Middle Aged ; COVID-19/epidemiology* ; COVID-19 Drug Treatment ; Aged ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/adverse effects* ; SARS-CoV-2 ; Treatment Outcome ; China/epidemiology* ; Adult

Accurate receptor/ligand binding free energy calculations can greatly accelerate drug discovery by identifying highly potent ligands. By simulating the change from one compound structure to another, the relative binding free energy (RBFE) change can be calculated based on the theoretically rigorous free energy perturbation (FEP) method. However, existing FEP-RBFE approaches may face convergence challenges due to difficulties in simulating non-physical intermediate states, which can lead to increased computational costs to obtain the converged results. To fundamentally overcome these issues and accelerate drug discovery, a new combined-structure RBFE (CS-FEP) calculation strategy was proposed, which solved the existing issues by constructing a new alchemical pathway, smoothed the alchemical transformation, increased the phase-space overlap between adjacent states, and thus significantly increased the convergence and accelerated the relative binding free energy calculations. This method was extensively tested in a practical drug discovery effort by targeting phosphodiesterase-1 (PDE1). Starting from a PDE1 inhibitor (compound 9, IC₅₀ = 16.8 μmol/L), the CS-FEP guided hit-to-lead optimizations resulted in a promising lead (11b and its mesylate salt formulation 11b-Mesylate, IC₅₀ = 7.0 nmol/L), with ∼2400-fold improved inhibitory activity. Further experimental studies revealed that the lead showed reasonable metabolic stability and significant anti-fibrotic effects in vivo.

Objective: To investigate the clinical efficacy and safety of anti-IgE monoclonal antibody (omazumab) in the treatment of allergic united airway disease (UAD) in the real-wold. Methods: Retrospective cohort study summarizes the case data of patients with allergic united airway disease who were treated with anti IgE monoclonal antibody (omalizumab) for more than 16 weeks from March 1, 2018 to June 30, 2022 in the Peking University First Hospital.The allergic UAD is defined as allergic asthma combined with allergic rhinitis (AA+AR) or allergic asthma combined with chronic sinusitis with nasal polyps (AA+CRSwNP) or allergic asthma combined with allergic rhinitis and nasal polyps (AA+AR+CRSwNP). The control of asthma was evaluated by asthma control test (ACT), lung function test and fractional exhaled nitric oxide (FeNO). The AR was assessed by total nasal symptom score (TNSS). The CRSwNP was evaluated by nasal visual analogue scale (n-VAS), sino-nasal outcome test-22 (SNOT-22), nasal polyps score (TPS) and Lund-Mackay sinus CT grading system. The global evaluation of omalizumab for the treatment of allergic UADwas performed by Global Evaluation of Treatment Effectiveness(GETE).The drug-related side effects were also recorded. Matched t test and Wilcoxon signed-rank test were used to compare the score changes of IgE monoclonal antibody (omazumab) before and after treatment, and multivariate logistic regression analysis was used to determine the influencing factors of IgE monoclonal antibody (omazumab) response. Results: A total of 117 patients with UAD were enrolled, ranging in age from 19 to 77 years; The median age of patients was 48.7 years; Among them, 60 were male, ranging from 19 to 77 years old, with a median age of 49.9 years; There were 57 females, ranging from 19 to 68 years old, with a median age of 47.2 years. There were 32 cases in AA+AR subgroup, 59 cases in AA+CRSwNP subgroup, and 26 cases in AA+AR+CRSwNP subgroup. The total serum IgE level was 190.5 (103.8,391.3) IU/ml. The treatment course of anti IgE monoclonal antibody was 24 (16, 32) weeks. Compared with pre-treatment, omalizumab increased ACT from 20.0 (19.5,22.0) to 24.0 (23.0,25.0) (Z=-8.537, P<0.001), increased pre-bronchodilator FEV1 from 90.2 (74.8,103.0)% predicted value to 95.4 (83.2,106.0)% predicted value (Z=-5.315,P<0.001), increased FEV1/FVC from 80.20 (66.83,88.38)% to 82.72 (71.26,92.25)% (Z=-4.483,P<0.001), decreased FeNO from(49.1±24.8) ppb to (32.8±24.4) ppb (t=5.235, P<0.001), decreased TNSS from (6.5±2.6)to (2.4±1.9) (t=14.171, P<0.001), decreased n-VAS from (6.8±1.2) to (3.4±2.0)(t=14.448, P<0.001), decreased SNOT-22 from (40.0±7.9) to (21.3±10.2)(t=15.360, P<0.001), decreased TPS from (4.1±0.8) to (2.4±1.0)(t=14.718, P<0.001) and decreased Lund-Mackay CT score from (6.0±1.3) to (3.1±1.6)(t=17.012, P<0.001). The global response rate to omalizumab was 67.5%(79/117). The response rate in AA+AR (90.6%,29/32) was significantly higher than that in AA+CRSwNP (61.0%,36/59) and AA+AR+CRSwNP (53.8%,14/26) subgroups (χ²=11.144,P=0.004). Only 4 patients (3.4%,4/117) had mild side effects. Conclusion: The real-world study showed favorable effectiveness and safety of anti-IgE monoclonal antibody for treatment of allergic UAD. To provide basis for preventing the progress and precise treatment of allergic UAD.
Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adult ; Aged ; Nasal Polyps/drug therapy* ; Omalizumab/therapeutic use* ; Rhinitis/drug therapy* ; Retrospective Studies ; Asthma/diagnosis* ; Rhinitis, Allergic/drug therapy* ; Sinusitis/drug therapy* ; Antibodies, Monoclonal/therapeutic use* ; Chronic Disease

In observational studies, herbal prescriptions are usually studied in the form of "similar prescriptions". At present, the classification of prescriptions is mainly based on clinical experience judgment, but there are some problems in manual judgment, such as lack of unified criteria, labor consumption, and difficulty in verification. In the construction of a database of integrated traditional Chinese and western medicine for the treatment of coronavirus disease 2019(COVID-19), our research group tried to classify real-world herbal prescriptions using a similarity matching algorithm. The main steps include 78 target prescriptions are determined in advance; four levels of importance labeling shall be carried out for the drugs of each target prescription; the combination, format conversion, and standardization of drug names of the prescriptions to be identified in the herbal medicine database; calculate the similarity between the prescriptions to be identified and each target prescription one by one; prescription discrimination is performed based on the preset criteria; remove the name of the prescriptions with "large prescriptions cover the small". Through the similarity matching algorithm, 87.49% of the real prescriptions in the herbal medicine database of this study can be identified, which preliminarily proves that this method can complete the classification of herbal prescriptions. However, this method does not consider the influence of herbal dosage on the results, and there is no recognized standard for the weight of drug importance and criteria, so there are some limitations, which need to be further explored and improved in future research.
Humans ; COVID-19 ; Algorithms ; Databases, Factual ; Prescriptions ; Plant Extracts

Humans ; Moxibustion ; Depression ; Acupuncture Therapy ; Gastroesophageal Reflux ; Esophagitis, Peptic