Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

OBJECTIVE: Gastric cancer (GC) is one of the most common malignancies seen in clinic and requires novel treatment options. Morin is a natural flavonoid extracted from the flower stalk of a highly valuable medicinal plant Prunella vulgaris L., which exhibits an anti-cancer effect in multiple types of tumors. However, the therapeutic effect and underlying mechanism of morin in treating GC remains elusive. The study aims to explore the therapeutic effect and underlying molecular mechanisms of morin in GC. METHODS: For in vitro experiments, the proliferation inhibition of morin was measured by cell counting kit-8 assay and colony formation assay in human GC cell line MKN45, human gastric adenocarcinoma cell line AGS, and human gastric epithelial cell line GES-1; for apoptosis analysis, microscopic photography, Western blotting, ubiquitination analysis, quantitative polymerase chain reaction analysis, flow cytometry, and RNA interference technology were employed. For in vivo studies, immunohistochemistry, biomedical analysis, and Western blotting were used to assess the efficacy and safety of morin in a xenograft mouse model of GC. RESULTS: Morin significantly inhibited the proliferation of GC cells MKN45 and AGS in a dose- and time-dependent manner, but did not inhibit human gastric epithelial cells GES-1. Only the caspase inhibitor Z-VAD-FMK was able to significantly reverse the inhibition of proliferation by morin in both GC cells, suggesting that apoptosis was the main type of cell death during the treatment. Morin induced intrinsic apoptosis in a dose-dependent manner in GC cells, which mainly relied on B cell leukemia/lymphoma 2 (BCL-2) associated agonist of cell death (BAD) but not phorbol-12-myristate-13-acetate-induced protein 1. The upregulation of BAD by morin was due to blocking the ubiquitination degradation of BAD, rather than the transcription regulation and the phosphorylation of BAD. Furthermore, the combination of morin and BCL-2 inhibitor navitoclax (also known as ABT-737) produced a synergistic inhibitory effect in GC cells through amplifying apoptotic signals. In addition, morin treatment significantly suppressed the growth of GC in vivo by upregulating BAD and the subsequent activation of its downstream apoptosis pathway. CONCLUSION Morin suppressed GC by inducing apoptosis, which was mainly due to blocking the ubiquitination-based degradation of the pro-apoptotic protein BAD. The combination of morin and the BCL-2 inhibitor ABT-737 synergistically amplified apoptotic signals in GC cells, which may overcome the drug resistance of the BCL-2 inhibitor. These findings indicated that morin was a potent and promising agent for GC treatment. Please cite this article as: Wang Y, Sun XY, Ma FQ, Ren MM, Zhao RH, Qin MM, Zhu XH, Xu Y, Cao ND, Chen YY, Dong TG, Pan YF, Zhao AG. Morin inhibits ubiquitination degradation of BCL-2 associated agonist of cell death and synergizes with BCL-2 inhibitor in gastric cancer cells. J Integr Med. 2025; 23(3): 320-332.
Humans ; Flavonoids/therapeutic use* ; Stomach Neoplasms/pathology* ; Animals ; Proto-Oncogene Proteins c-bcl-2/metabolism* ; Cell Line, Tumor ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Ubiquitination/drug effects* ; Mice ; Drug Synergism ; Mice, Inbred BALB C ; Mice, Nude ; Xenograft Model Antitumor Assays ; Flavones

Objective To explore the incidence of long CO VID symptoms in patients infected with Omicron variant of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Methods According to the inclusion and exclu-sion criteria of literatures,relevant studies without language restrictions published up to 2024 were retrieved from both Chinese and English databases.The Chinese databases were China National Knowledge Infrastructure(CNKI),Wanfang Database,and VIP databases,and the foreign databases were PubMed,Embase,and Web of Science.Three-step screening was used to select literatures,and Stata 17.0 software was used for analysis.Results The incidence of at least one sequelae in patients infected with Omicron variant was 29.62％.The most common symptoms included fatigue(19.10％),joint or muscle pain(11.06％),memory loss(9.71％),brain fog(8.80％),cough(8.42％),headache(7.26％),and sore throat(6.68％).Subgroup analysis results showed that with the extension of follow-up(3 months vs 6 months),the incidence of smell or taste changes was significantly re-duced(7.22％vs 0.78％).The higher the proportion of women(＜50％vs 50％-65％vs＞65％),the higher the incidence of joint or muscle pain(1.09％vs 4.62％vs 19.53％);the greater the median age(≥45 years vs＜45 years),the higher the incidence of chest pain or chest distress(0.90％vs 3.86％),all with statistically significant differences(all P＜0.05).Conclusion Incidence of long COVID in Omicron-infected patients is high and can cause various symptoms.Follow-up time,median age and gender proportion have significant impacts on the incidence of some symptoms.

Objective To explore the efficacy of T-cell spot test of tuberculosis infection(T-SPOT.TB)in the differential diagnosis of spinal tuberculosis(STB),and optimize diagnostic efficacy through the optimal cut-off value of receiver operating characteristic(ROC)curve.Methods Clinical data of patients with spinal infection in a hospi-tal from January 2010 to May 2019 were collected,including preoperative T-SPOT.TB test results,white blood cell count,C-reactive protein,erythrocyte sedimentation rate,procalcitonin,and tuberculosis antibodies,etal.Clinical diagnosis was conducted based on diagnostic criteria.The sensitivity and specificity of T-SPOT.TB in preoperative diagnosis of STB and other spinal infection was analyzed,and the diagnostic efficacy of the optimized T-SPOT.TB indicators was evaluated.Results A total of 132 patients were included in this study,out of whom 78 patients(59.09％)were diagnosed with STB,and 54(40.91％)were diagnosed with non-tuberculosis(non-TB)spinal in-fection.The sensitivity and specificity of T-SPOT.TB in differential diagnosis of STB were 67.68％and 66.67％,respectively.Univariate logistic regression analysis showed that compared with non-TB spinal infection,the OR va-lue of T-SPOT.TB test in diagnosing STB was 4.188(95％CI:1.847-9.974,P＜0.001).The optimized T-SPOT.TB evaluation index through ROC curve to determine the optimal cut-off values of ESAT-6,CFP-10,and CFP-10+ESAT-6 for differential diagnosis of STB and non-TB spinal infection were 12.5,19.5,and 36,respec-tively,and area under curve(AUC)values were 0.765 6,0.741 5,and 0.778 6,respectively,all with good diag-nostic efficacy.CFP-10+ESAT-6 had the highest AUC.CFP-10+ESAT-6 specific spot count had higher efficacy in the diagnosis of STB,with a diagnostic accuracy of 75.56％,higher than 67.42％of pre-optimized T-SPOT.TB.Conclusion T-SPOT.TB test has high diagnostic efficacy in differentiating STB from non-TB spinal infection.Posi-tivity in T-SPOT.TB test,especially with spot count of CFP-10+ESAT-6 over 36,indicates a higher likelihood of STB.

The study investigated the effect of casticin on the proliferation of non-small cell lung cancer(NSCLC) H322 cells and explored its molecular mechanism. Firstly, the cell counting kit-8(CCK-8) assay, colony formation assay, and EdU assay were used to detect the effect of casticin on the proliferation capacity of H322 cells under different concentrations and treatment durations. Then, glucose uptake, lactate production, extracellular pH, and oxygen consumption of H322 cells were measured before and after casticin treatment to analyze its impact on glycolysis in NSCLC H322 cells. Finally, real-time fluorescence quantitative PCR(RT-qPCR) and Western blot assays were performed to explore glycolysis-related molecules affected by casticin. The experiments showed that casticin inhibited the proliferation of NSCLC H322 cells in a dose-and time-dependent manner, with half-maximal inhibitory concentrations(IC_(50)) of 28.64 and 19.41 μmol·L~(-1) after 48 and 72 hours of treatment, respectively. Casticin also inhibited glucose uptake and lactate production in H322 cells, while increasing extracellular pH and oxygen consumption. Further investigation revealed that casticin inhibited the expression of glycolysis-related molecules, including glucose transporter 1(GLUT1), hexokinase 2(HK2), aldolase A(ALDOA), pyruvate kinase M2(PKM2), and hypoxia-inducible factor-1α(HIF-1α). Overexpression of HIF-1α was found to reverse the inhibitory effects of casticin on H322 cell proliferation and glycolysis. These findings suggest that casticin may regulate cellular glycolysis by inhibiting the expression of HIF-1α, thereby inhibiting the proliferation of NSCLC H322 cells. This study identifies a potential drug for the treatment of NSCLC and provides a direction for further research.
Humans ; Cell Proliferation/drug effects* ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics* ; Carcinoma, Non-Small-Cell Lung/physiopathology* ; Lung Neoplasms/drug therapy* ; Glucose/metabolism* ; Cell Line, Tumor ; Glycolysis/drug effects*

BACKGROUND: Previous studies have extensively investigated traditional predictors of cardiovascular disease (CVD) development, progression, and prognosis. However, the influence of novel indicators such as Klotho, on CVD prevalence and prognosis in the general population remains unclear. METHOD: This was an observational study that utilized cross-sectional and longitudinal methods to examine the general population in the National Health and Nutrition Examination Survey (NHANES) 2007-2016. The participants were divided into four groups according to the Klotho quartiles. Primary outcome was CVD [coronary artery disease (CAD), congestive heart failure, and stroke], secondary outcomes were all-cause mortality and cardiovascular mortality. Survey-weighted binary logistic regression analysis was used to analyze the association between Klotho and the prevalence of primary outcome, and the restricted cubic spline (RCS) curve was used to further analyze the nonlinear relationship. Subgroup analyses were conducted to investigate the association between Klotho values and CVD prevalence using survey-weighted binary logistic regression. The incidence of the secondary outcomes among four groups was assessed through Kaplan-Meier survival analysis. Additionally, the relationship between Klotho values and secondary endpoints was explored using survey-weighted Cox proportional hazards regression across various patient subpopulations. RESULTS: A total of 12,146 participants (56.8 ± 10.7 years, 48.5% male) were included in our study. The total incidence of CVD was 9.9% (n = 1201), of which 4.7% (n = 574) were CAD, 3.7% (n = 454) were congestive heart failure, and 4.1% (n = 497) were stroke. Binary logistics regression analysis showed that higher Klotho quartiles were associated with the decreased prevalence of CVD [Quartile 4 vs. Quartile 1: odds ratio (OR) (95% CI): 0.77 (0.64-0.93), P = 0.006] and congestive heart failure [Quartile 4 vs. Quartile 1: 0.75 (0.56-0.99), P = 0.048], However, no significant associations were found between Klotho levels and the outcomes of CAD or stroke. RCS curve illustrated a high Klotho value was negatively correlated with the prevalence of CVD (nonlinear P = 0.838), congestive heart failure (nonlinear P = 0.110) and stroke (nonlinear P = 0.972). No significant interactions were observed in any subgroups regarding the associations between Klotho and prevalence of CVD. After a median follow-up period of 93 months (range: from 1 to 160 months), there were 1228 cases (10.1%) of all-cause mortality in the general population, including 296 cases (2.4%) of cardiovascular mortality. The Kaplan-Meier curves indicated that lower Klotho levels were associated with a significant increase in all-cause mortality across the general population, CVD population, and non-CVD population. As Klotho levels decreased, there was also a notable rise in cardiovascular mortality in both the general population and the CVD population. In the overall population, Cox regression analyses demonstrated that higher Klotho values were associated with a decreased risk of both all-cause and cardiovascular mortality. And no significant interaction was observed in the CVD subgroup regarding the association between Klotho and mortality. CONCLUSION High Klotho level was associated with low prevalence of CVD and low risk of mortality in general population.

ObjectiveTo further study the pathogenic role of different types of Chlamydia trachomatis （CT） proteins in tubal factor infertility， evaluate the clinical detection value of Chlamydia trachomatis protein antibody in predicting tubal factor infertility. MethodsA total of 58 cases of tubal factor infertility （TFI）， 41 cases of fertile controls （FC） and 18 cases of infertile controls （IFC） were included. For serum detection， first， CT-IgG ELISA kit was used to detect the expression of CT-IgG in serum of three groups of people； then， 6 kinds of Chlamydia trachomatis proteins were expressed and purified in the early stage to establish the antibody test for these proteins， and ELISA detection method was used to detect the expression of their antibodies in the serum of TFI group， FC group and IFC group， respectively； and finally， the antibody OD value of the 6 kinds of Chlamydia trachomatis proteins in the three groups of subjects were statistically described， and CT-IgG was used as the reference standard to draw the receiver operating characteristic curve （ROC curve） of each CT antibody. The Youden Index determines the cutoff value for each antibody. Taking TFI as the reference class， two disordered multiple classification logistic regression models were established with the FC and IFC groups， respectively； and the reference class was used to explore the value of various antibodies and age in predicting TFI， FC and IFC of Chlamydia trachomatis. The back-off method was used to screen the variables. ResultsThe OD value of CT376 antibody in the TFI group was higher than that in the FC group （0.86 vs. 0.60， P=0.026）. The CT376 antibody OD value in the TFI group was higher than that in the IFC group （0.86 vs. 0.64， P=0.026）. The CT443 antibody OD value in the IFC group was higher than that in the TFI group （0.59 vs. 0.34， P=0.036） and higher than that in the FC group （0.59 vs. 0.30， P=0.02）. The multiple classification logistic regression analysis established between TFI and FC showed that CT-IgG ［P<0.001， OR=0.084， 95%CI （0.025， 0.284）］， CT376 antibody ［P=0.068， OR=0.359， 95%CI （0.120， 1.078）］. CT-IgG is an independent risk factor for tubal infertility， and CT376 antibody cannot be an independent risk factor for tubal infertility. The multiple classification logistic regression analysis established between TFI and IFC showed that among infertile patients， CT-IgG ［P<0.05， OR=0.194， 95%CI （0.046， 0.817）］， CT376 antibody ［P<0.05， OR=0.176， 95%CI （0.038， 0.818）］ and CT381 antibody ［P<0.05， OR=0.112， 95%CI （ 0.016， 0.796）］ were independent risk factors for tubal infertility. ConclusionThe expression of CT376 antibody in tubal infertility patients is higher than that in fertile and infertile controls， suggesting that CT-induced tubal factor infertility may be related to CT376. CT-IgG， and CT376 antibodies are meaningful in predicting CT-induced tubal factor infertility.

Abstract: Objective　To investigate the clustered regularly interspaced short palindromic repeats (CRISPR) genotypes and regional distribution of Yersinia pestis strains in the natural plague foci of Hainan Tibetan Autonomous Prefecture of Qinghai Province (referred to as "Hainan prefecture") and provide a scientific basis for plague prevention and control in this area. Methods　A total of 36 representative Yersinia pestis strains, which were isolated from different host animals and insect vectors from 1954 to 2009 in Hainan Prefecture, were selected as experimental subjects. The DNAs were extracted using the traditional sodium dodecyl sulfate decomposition and phenol-chloroform method. Three pairs of CRISPR primers (YPa, Ypb, YPc) were used for PCR amplification, sequencing and analysis of the DNA of the tested strains, respectively, as a means to identify the CRISPR genotypes of Yersinia pestis in Hainan Prefecture. Results　A total of 17 spacers were observed among 36 strains of Yersinia pestis, including 9 of YPa, 5 of YPb and 3 of YPc. All strains were divided into 5 CRISPR gene clusters (Cb2, Cb4 ', Ca7, Ca7 ', Ca35 ') and 6 genotypes (G1, G9, G22, G22-A1 ', G26-A1 ', G26-A1 'A4 -). The G26-a1 ' was the main genotype, which was distributed in Gonghe, Guide and Xinghai County, and the G22 is the second type, which was distributed in Gonghe and Guide County. Conclusions　The genetic polymorphism of CRISPR loci of Yersinia pestis strains in Hainan was high, and the regional distribution characteristics of Yersinia pestis strains with different genotypes were significant.

According to the method of predicting the physical properties of oily powder based on the additive physical properties of Chinese medicinal powder, Dioscoreae Rhizoma and calcined Ostreae Concha with high sieve rate and good fluidity were mixed and crushed with Persicae Semen, Platycladi Semen, Raphani Semen, Ziziphi Spinosae Semen, and other typical oily materials with high fatty oil content in proportion to obtain 23 mixed powders. Fifteen physical properties such as bulk density, water absorption, and maximum torque force were measured, and the physical properties of typical oily powders were predicted. When the mixing and grinding ratio was in the range of 5∶1-1∶1, the r value in the correlation equation between the weighted average score of the mixed powder and the powder proportion ranged from 0.801 to 0.986, and the linearity was good, indicating that the method of predicting the physical properties of oily powder based on the additive physical properties of traditional Chinese medicine(TCM)powder was feasible. The results of cluster analysis showed that the classification boundaries of the five kinds of TCM materials were clear, and the similarity of the physical fingerprints of powdery and oily materials decreased from 80.6% to 37.2%, which solved the problem of fuzzy classification boundaries of powdery and oily materials due to the lack of representativeness of oily material model drugs. The classification of TCM materials was optimized, laying a foundation for optimizing the prediction model of the prescription of personalized water-paste pills.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Powders ; Prescriptions

This study collected epidemic data of COVID-19 in Zhengzhou from January 1 to January 20 in 2022. The epidemiological characteristics of the local epidemic in Zhengzhou High-tech Zone caused by the SARS-CoV-2 Delta variant were analyzed through epidemiological survey and big data analysis, which could provide a scientific basis for the prevention and control of the Delta variant. In detail, a total of 276 close contacts and 599 secondary close contacts were found in this study. The attack rate of close contacts and secondary close contacts was 5.43% (15/276) and 0.17% (1/599), respectively. There were 10 confirmed cases associated with the chain of transmission. Among them, the attack rates in close contacts of the first, second, third, fourth and fifth generation cases were 20.00% (5/25), 17.86% (5/28), 0.72% (1/139) and 14.81% (4/27), 0 (0/57), respectively. The attack rates in close contacts after sharing rooms/beds, having meals, having neighbor contacts, sharing vehicles with the patients, having same space contacts, and having work contacts were 26.67%, 9.10%, 8.33%, 4.55%, 1.43%, and 0 respectively. Collectively, the local epidemic situation in Zhengzhou High-tech Zone has an obvious family cluster. Prevention and control work should focus on decreasing family clusters of cases and community transmission.
Humans ; SARS-CoV-2 ; COVID-19 ; Epidemics ; Incidence