To elucidate the mechanism by which steaming affects the quality of Curcuma kwangsiensis root tubers, methods such as LSCM, RVA, dual-wavelength spectrophotometry, LF-NMR, and LC-MS were employed to qualitatively and quantitatively detect changes in starch gelatinization characteristics, water distribution, and material composition of C. kwangsiensis root tubers under different steaming durations. Based on multivariate statistical analysis, the correlation between differences in gelatinization parameters, water distribution, and terpenoid material composition was investigated. The results indicate that steaming affects both starch gelatinization and water distribution in C. kwangsiensis. During the steaming process, transformations occur between amylose and amylopectin, as well as between semi-bound water and free water. After 60 min of steaming, starch gelatinization and water distribution reached an equilibrium state. The content of amylopectin, the amylose-to-amylopectin ratio, and parameters such as gelatinization temperature, viscosity, breakdown value, and setback value were significantly correlated(P≤0.05). Additionally, the amylose-to-amylopectin ratio was significantly correlated with total free water and total water content(P≤0.05). Steaming induced differences in the material composition of C. kwangsiensis root tubers. Clustering of primary metabolites in the OPLS-DA model was distinct, while secondary metabolites were classified into 9 clusters using the K-means clustering algorithm. Differential terpenoid metabolites such as(-)-α-curcumene were significantly correlated with zerumbone, retinal, and all-trans-retinoic acid(P<0.05). Curcumenol was significantly correlated with isoalantolactone and ursolic acid(P<0.05), while all-trans-retinoic acid was significantly correlated with both zerumbone and retinal(P<0.05). Alpha-tocotrienol exhibited a significant correlation with retinal and all-trans-retinoic acid(P<0.05). Amylose was extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and α-tocotrienol(P<0.05). Amylopectin was significantly correlated with zerumbone(P<0.05) and extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and 9-cis-retinoic acid(P<0.01). The results provide scientific evidence for elucidating the mechanism of quality formation of steamed C. kwangsiensis root tubers as a medicinal material.
Curcuma/chemistry* ; Starch/chemistry* ; Multivariate Analysis ; Water/chemistry* ; Terpenes/analysis* ; Plant Roots/chemistry* ; Plant Tubers/chemistry* ; Drugs, Chinese Herbal/chemistry*

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.

Objective:To construct a nanoparticle vaccine displaying the prefusion F (preF) protein of respiratory syncytial virus (RSV) using the I53-50 protein nanoparticle platform, and to systematically evaluate its immunogenicity and protective efficacy.Methods:The RSV preF trimer antigen was genetically fused to I53-50A and assembled in vitro with I53-50B to form preF-I53-50 nanoparticles, theoretically displaying 20 preF antigens per particle. The structure and purity were characterized by size-exclusion chromatography, SDS-PAGE, and negative-stain electron microscopy. BALB/c mice were intramuscularly immunized with varying doses (1 μg or 5 μg) of preF antigen or an equimolar amount of preF-I53-50 nanoparticles. Humoral immunity, B-cell responses, and protective efficacy were assessed following intranasal viral challenge.Results:The preF-I53-50 nanoparticles self-assembled into spherical structures (50-60 nm in diameter) with uniformly arrayed antigens. The nanoparticle vaccine enhanced RSV-specific IgG1 and IgG2a antibody responses, promoting a Th1-biased immune profile. At equimolar preF doses, the neutralizing antibody titers induced by 1 μg and 5 μg nanoparticle formulations were 2.8-fold and 2.3-fold higher, respectively, than those elicited by preF alone ( P<0.05). Notably, even the low-dose nanoparticle group outperformed the high-dose preF group (1.6-fold increase). Viral challenge experiments demonstrated that preF-I53-50 effectively suppressed pulmonary viral replication, mitigated pathological damage, and induced stronger germinal center and memory B-cell responses, suggesting enhanced B-cell affinity maturation and long-term immune memory. Conclusion:The preF-I53-50 vaccine improves the immunogenicity and protective efficacy of RSV preF through multivalent antigen display.

Objective:To construct a nanoparticle vaccine displaying the prefusion F (preF) protein of respiratory syncytial virus (RSV) using the I53-50 protein nanoparticle platform, and to systematically evaluate its immunogenicity and protective efficacy.Methods:The RSV preF trimer antigen was genetically fused to I53-50A and assembled in vitro with I53-50B to form preF-I53-50 nanoparticles, theoretically displaying 20 preF antigens per particle. The structure and purity were characterized by size-exclusion chromatography, SDS-PAGE, and negative-stain electron microscopy. BALB/c mice were intramuscularly immunized with varying doses (1 μg or 5 μg) of preF antigen or an equimolar amount of preF-I53-50 nanoparticles. Humoral immunity, B-cell responses, and protective efficacy were assessed following intranasal viral challenge.Results:The preF-I53-50 nanoparticles self-assembled into spherical structures (50-60 nm in diameter) with uniformly arrayed antigens. The nanoparticle vaccine enhanced RSV-specific IgG1 and IgG2a antibody responses, promoting a Th1-biased immune profile. At equimolar preF doses, the neutralizing antibody titers induced by 1 μg and 5 μg nanoparticle formulations were 2.8-fold and 2.3-fold higher, respectively, than those elicited by preF alone ( P<0.05). Notably, even the low-dose nanoparticle group outperformed the high-dose preF group (1.6-fold increase). Viral challenge experiments demonstrated that preF-I53-50 effectively suppressed pulmonary viral replication, mitigated pathological damage, and induced stronger germinal center and memory B-cell responses, suggesting enhanced B-cell affinity maturation and long-term immune memory. Conclusion:The preF-I53-50 vaccine improves the immunogenicity and protective efficacy of RSV preF through multivalent antigen display.

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.

Endothelial-mesenchymal transition (EndMT) disrupts vascular endothelial integrity and induces atherosclerosis. Active integrin β1 plays a pivotal role in promoting EndMT by facilitating TGFβ/Smad signaling in endothelial cells. Here, we report a novel anthraquinone compound, Kanglexin (KLX), which prevented EndMT and atherosclerosis by activating MAP4K4 and suppressing integrin β1/TGFβ signaling. First, KLX effectively counteracted the EndMT phenotype and mitigated the dysregulation of endothelial and mesenchymal markers induced by TGFβ1. Second, KLX suppressed TGFβ/Smad signaling by inactivating integrin β1 and inhibiting the polymerization of TGFβR1/2. The underlying mechanism involved the activation of FGFR1 by KLX, resulting in the phosphorylation of MAP4K4 and Moesin, which led to integrin β1 inactivation by displacing Talin from its β-tail. Oral administration of KLX effectively stimulated endothelial FGFR1 and inhibited integrin β1, thereby preventing vascular EndMT and attenuating plaque formation and progression in the aorta of atherosclerotic Apoe^-/- mice. Notably, KLX (20 mg/kg) exhibited superior efficacy compared with atorvastatin, a clinically approved lipid-regulating drug. In conclusion, KLX exhibited potential in ameliorating EndMT and retarding the formation and progression of atherosclerosis through direct activation of FGFR1. Therefore, KLX is a promising candidate for the treatment of atherosclerosis to mitigate vascular endothelial injury.
Animals ; Atherosclerosis/prevention & control* ; Mice ; Receptor, Fibroblast Growth Factor, Type 1/metabolism* ; Signal Transduction/drug effects* ; Anthraquinones/pharmacology* ; Humans ; Integrin beta1/metabolism* ; Epithelial-Mesenchymal Transition/drug effects* ; Male ; Transforming Growth Factor beta/metabolism* ; Disease Models, Animal ; Mice, Inbred C57BL ; Human Umbilical Vein Endothelial Cells/drug effects*

Fluorescent sensing technology plays a crucial role in rapid detection of substances and research on visual analysis. In this work,a new type of fluorescent molecule,named SA-AP-PPh3,was successfully synthesized through a two-step process,with a structure composed of triphenylphosphine and salicylaldehyde-aniline Schiff base. This molecule showed the nature of excited-state intramolecular proton transfer (ESIPT) and a large Stokes shift. SA-AP-PPh3 had the ability to selectively detect Cu2+,with a detection range from 0.5 to 15μmol/L and a detection limit as low as 261 nmol/L,which could be used to determine the concentration of Cu2+in actual water samples. In addition,the molecule contained a mitochondrial targeting functional group and had good biocompatibility,which could achieve the visualization of cellular mitochondria and effective detection of Cu2+in cells.

Objective To investigate the correlation between serum levels of prostaglandin-endoperoxide synthase 2(PTGS2),chitinase-3-like protein 1(CHI3L1)and cognitive impairment caused by cerebrovascular disease.Methods From October 2020 to October 2022,96 inpatients with cerebrovascular diseases admitted to the Third People's Hospital of Chengdu were regarded as the study subjects.The basic clinical data of the patients were recorded,the serum levels of PTGS2 and CHI3L1 were detected by enzyme-linked immunosorbent assay,and these patients were grouped into normal group(n=60)and impaired group(n=36)based on the presence or absence of cognitive impairment.The correlation between serum PTGS2 and CHI3L1 levels and fasting blood glucose(FBG)and homocysteine(Hcy)was analyzed by Pearson method.Logistic regression model was used to determine whether serum PTGS2 and CHI3L1 were independent risk factors for predicting cognitive impairment.Receiver operating characteristic(ROC)curve was drawn,and the predictive value of CHI3L1 and serum PTGS2 expression level in cognitive impairment in patients with cerebrovascular disease was analyzed according to the area under the curve(AUC).Results Compared with the normal group,the levels of serum PTGS2(29.30±9.46 pg/ml vs 17.86±5.40 pg/ml)and CHI3L1(13.04±4.06 pg/ml vs 7.51±2.66 pg/ml)in the disorder group were increased,and the differences were statistically significant(t=7.553,8.065,all P＜0.05).Multivariate Logistic regression analysis showed that FBG(OR=3.612,95%CI:2.324～5.614),Hcy(OR=2.584,95%CI:1.351～4.944),PTGS2(OR=1.964,95%CI:1.194～3.231)and CHI3L1(OR= 1.556,95%CI:1.023～2.367)were independent risk factors of cognitive impairment(all P＜0.05).PTGS2 was positively correlated with FBG and Hcy(r=0.368,0.551,all P＜0.05),and CHI3L1 was positively correlated with FBG and Hcy(r=0.510,0.376,all P＜0.05).The ROC curve showed that the area under curve(AUC)of PTGS2 and CHI3L1 in predicting cognitive impairment was 0.819 and 0.829,respectively.The AUC of the combined prediction of cognitive impairment was 0.902,which was obviously higher than that of the independent prediction of the two(Z =2.089,2.293;P=0.037,0.021),with sensitivity and specificity of 77.78%and 98.33%,respectively.Conclusion PTGS2 and CHI3L1 were highly expressed in the serum of patients with cognitive impairment of cerebrovascular disease,indicating that both were related to cognitive impairment of patients with cerebrovascular disease.

AIM To study the chemical constituents from flower buds of Magnolia biondii Pamp.and their in vitro acetylcholinesterase inhibitory activities.METHODS The 50% acetone extract from the flower buds of M.biondii was isolated and purified by Diaion HP-20,Toyopearl HW-40C,ODS and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The in vitro acetylcholinesterase inhibitory activities of these compounds were determined according to previous method established by research group.RESULTS Seventeen compounds were isolated and identified as crassifolioside(1),magnoloside B(2),rutin(3),isoquercitrin(4),quercetin(5),northalifoline(6),cordysinin B(7),thymidine(8),indazole(9),dihydrodehydrodiconiferyl alcohol(10),aesculetin(11),C-veratroylglycol(12),3,4-dihydroxyphenylethanol(13),3-methoxy-4-hydroxyphenylethanol(14),3,4-dihydroxybenzoic acid(15),2,4,6-trimethoxyphenol(16),syringic acid(17).CONCLUSION Compounds 1-17 are isolated from this plant for the first time,none of which show acetylcholinesterase inhibitory activities at the concentration of 20 μmol/L.

Objective:To explore the impact of rehabilitation exercise intervention mode based on cardiac function classification on clinical effect and quality of life(QOL)in patients with chronic heart failure(CHF).Methods:A total of 160 CHF patients who visited our hospital from Dec 2021 to Jan 2023 were selected,and 154 cases were fi-nally enrolled.According to the random number table method,patients were divided into study group and control group with 77 cases in each group.Control group received routine nursing program,while the study group received rehabilitation exercise intervention based on cardiac function classification on the basis of control group,both groups were intervened for three months.Clinical total effective rate,and cardiopulmonary function,serum oxidative stress indicators and MLHFQ score before and after intervention were compared between two groups.Results:Total effective rates of study subgroups of class Ⅱ and Ⅲ were significantly higher than those of control group(class Ⅱ:100.00％vs.83.78％;class Ⅲ:97.37％vs.80.00％)(P＜0.05 both).Compared with control subgroup of classⅢ after intervention,there were significant rise in peak VO2[(16.98±2.03)ml·min-1·kg-1 vs.(18.61±2.41)ml·min-1·kg-1],LVEF[(41.73±4.53)％vs.(48.03±5.22)％]and 6MWD[(351.34±61.00)m vs.(391.53±64.42)m](P＜0.01 all);and significant reductions in LVEDd[(57.55±3.91)mm vs.(53.18±3.07)mm],LVESd[(35.90±2.91)mm vs.(30.50±2.67)mm],levels of LPO[(6.00±0.99)mg/L vs.(3.95±0.61)mg/L],MPO[(3.83±0.58)mg/L vs.(2.03±0.28)mg/L],and MLHFQ total score[(57.05±4.57)points vs.(45.29±3.94)points]in study subgroup of class Ⅲ(P=0.001 all).Compared with control subgroup of class Ⅱ after intervention,there were significant rise in peak VO2,LVEF and 6MWD,and significant reductions in LVEDd,LVESd,levels of LPO,MPO and MLHFQ score in study subgroup of class Ⅱ,P＜0.05 or＜0.01.There was no significant difference in the incidence rate of adverse events during follow-up between two groups(3.90％vs.6.49％,P=0.717).Conclusion:Rehabilitation exercise intervention based on cardiac function classifi-cation can significantly improve cardiopulmonary function,inhibit oxidative stress response in vivo and improve quality of life in CHF patients,which is worthy of promotion and application in clinical practice.