OBJECTIVE To explore the protective mechanism of safflower on mouse hearts preserved at low temperatures,sum-marize and analyze the potential targets of safflower,and provide reference for the improvement of ex vivo myocardial injury by tradition-al Chinese medicine safflower.METHODS Databases such as TCMSP,TCMID,and Swiss Target Prediction were used to search for the chemical composition and target of safflower.Databases such as OMIM,TTD,and Genecards were employed to screen disease tar-gets for ischemic cardiomyopathy.A network diagram of"drug-ingredient-target-disease"was construct using Cytoscape,and the mechanism of the action of safflower was enriched and analyzed.A mouse ex vivo heart cold preservation model was constructed and the predicted targets of network pharmacology were validated using techniques such as ELISA detection,qPCR,Western blot,etc.RE-SULTS A total of 22 active ingredients and 421 drug targets were obtained from safflower;1 812 disease targets were identified in is-chemic cardiomyopathy,resulting in 117 drug-disease common targets.GO enrichment analysis yielded 1 906 entries,and KEGG pathway enrichment screening identified a total of 137 signaling pathways,including the Akt signaling pathway.Experimental verifica-tion showed that safflower might alleviate the damage to mouse hearts during low-temperature storage by regulating the PI3K-Akt path-way to regulate cell apoptosis.CONCLUSION This article uses network pharmacology to reveal the protective targets and pathways of safflower on the heart of mice subjected to low-temperature cold storage,and conducts relevant experimental verification.This pro-vides a basis for further exploring the mechanism of safflower in reducing myocardial injury in low-temperature cold stored hearts,and provides a theoretical basis for the clinical application and pharmacological research of safflower.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the progressive loss of dopaminergic neurons and the accumulation of Lewy bodies, leading to motor and nonmotor symptoms. While both genetic and environmental factors contribute to PD, recent studies highlight the crucial role of lipid metabolism disturbances in disease progression. Altered lipid homeostasis promotes protein aggregation and oxidative stress, with significant changes in lipid classes such as sphingolipids and glycerolipids observed in patients with PD. These disturbances are involved in key pathological processes, such as α-synuclein aggregation, organelle dysfunction, lipid-mediated neuroinflammation, and impaired lipid homeostasis. This review examines the relationship between lipid species and PD progression, focusing on the physiological roles of lipids in the central nervous system. It explores the mechanistic links between lipid metabolism and PD pathology, along with lipid-related genetic risk factors. Furthermore, this review discusses lipid-targeting therapeutic strategies to mitigate PD progression, emphasizing the potential of lipid modulation for effective treatment development.
Humans ; Parkinson Disease/metabolism* ; Lipid Metabolism/physiology* ; Animals ; Oxidative Stress/physiology* ; alpha-Synuclein/metabolism*

BACKGROUND: Parkinson's disease (PD) is a leading cause of death and disability worldwide, and is associated with a significant Global Burden of Disease (GBD). We analyzed the trends in PD incidence, mortality, and disability-adjusted life year (DALY) burden in China, and compared them with global data. METHODS: Estimates and 95% uncertainty intervals (UIs) for incidence, mortality, DALYs, years lived with disability (YLDs), and years of life lost (YLLs) for PD were extracted from the GBD, Injuries, and Risk Factors Study 2021. We describe the epidemiology of PD at global and Chinese levels, analyze trends in incidence and mortality from 1990 to 2021 by joinpoint regression models, and decompose PD burden according to population size, age structure, and epidemiological changes. RESULTS: GBD 2021 estimated 508,378 (95% UI: 430,499-592,748) incident cases of PD, 92,035 (95% UI: 75,908-108,133) deaths, and 2,159,514 (95% UI: 1,826,196-2,521,344) DALYs in China, with the higher age-standardized rate (ASR) in incidence, mortality and DALYs than the global levels. The DALY burden of PD in China increased slightly from 1990 to 2021, consistent with the global upward trend. Joinpoint regression analysis indicated that the ASR of incidence in China increased faster than the global average, while the ASR of mortality decreased, with the fastest decline in 2004-2014. Decomposition analysis revealed that men and the middle sociodemographic index (SDI) quintile (32.82%) were responsible for the most significant DALYs, whose changes were primarily driven by population growth and aging. CONCLUSIONS The burden of PD showed an overall increasing trend from 1990 to 2021, which was primarily driven by population growth and aging. This study highlights the significant challenges in controlling and managing PD, including the increase in cases and gender differences, which may provide guidance for comprehensive strategies to address the changing profiles of PD in China.
Humans ; Parkinson Disease/mortality* ; China/epidemiology* ; Global Burden of Disease ; Male ; Incidence ; Female ; Disability-Adjusted Life Years ; Middle Aged ; Aged ; Adult ; Quality-Adjusted Life Years ; Aged, 80 and over ; Cost of Illness ; Adolescent ; Pattern Analysis, Machine

Objective To investigate the factors influencing the natural outcome of low-grade squamous intraepithelial lesions(LSIL)of the cervix.Methods A total of 154 patients who underwent colposcopic cervical biopsy in the Third Affiliated Hospital of Zhengzhou University from January 2022 to January 2023 were selected and divided into negative conversion group(55 cases),continuous group(70 cases)and upgraded group(29 cases)according to the follow-up results.Logistic regression was used to analyze the influence of related factors on the outcome of LSIL.Results There were statistically significant differences in the number of vaginal births,the results of thin-prep cytology test,human papilloma virus(HPV)typing,whether vaginal LSIL was combined,whether there were symptoms,and vaginal microecology among three groups(P＜0.05).Multivariate Logistic analysis showed that combined vaginal LSIL,vaginal microecological abnormalities,atypical squamous cell-cannot exclude high-grade squamous intraepithelial lesion(ASC-H)/high-grade squamous intraepithelial lesion(HSIL),HPV 16/18 positive or mixed positive were independent risk factors for persistent infection(P＜0.05),combined vaginal LSIL,symptomatic,vaginal microecological abnormalities,ASC-H/HSIL,HPV 16/18 positive or mixed positive were all independent risk factors for escalation of lesions(P＜0.05).Conclusion Patients with vaginal LSIL,vaginal microecological abnormalities,ASC-H/HSIL,HPV 16/18 positive or mixed positive should be followed up and early intervention to reduce the risk of disease escalation.

OBJECTIVE To explore the protective mechanism of safflower on mouse hearts preserved at low temperatures,sum-marize and analyze the potential targets of safflower,and provide reference for the improvement of ex vivo myocardial injury by tradition-al Chinese medicine safflower.METHODS Databases such as TCMSP,TCMID,and Swiss Target Prediction were used to search for the chemical composition and target of safflower.Databases such as OMIM,TTD,and Genecards were employed to screen disease tar-gets for ischemic cardiomyopathy.A network diagram of"drug-ingredient-target-disease"was construct using Cytoscape,and the mechanism of the action of safflower was enriched and analyzed.A mouse ex vivo heart cold preservation model was constructed and the predicted targets of network pharmacology were validated using techniques such as ELISA detection,qPCR,Western blot,etc.RE-SULTS A total of 22 active ingredients and 421 drug targets were obtained from safflower;1 812 disease targets were identified in is-chemic cardiomyopathy,resulting in 117 drug-disease common targets.GO enrichment analysis yielded 1 906 entries,and KEGG pathway enrichment screening identified a total of 137 signaling pathways,including the Akt signaling pathway.Experimental verifica-tion showed that safflower might alleviate the damage to mouse hearts during low-temperature storage by regulating the PI3K-Akt path-way to regulate cell apoptosis.CONCLUSION This article uses network pharmacology to reveal the protective targets and pathways of safflower on the heart of mice subjected to low-temperature cold storage,and conducts relevant experimental verification.This pro-vides a basis for further exploring the mechanism of safflower in reducing myocardial injury in low-temperature cold stored hearts,and provides a theoretical basis for the clinical application and pharmacological research of safflower.

Objective To investigate the factors influencing the natural outcome of low-grade squamous intraepithelial lesions(LSIL)of the cervix.Methods A total of 154 patients who underwent colposcopic cervical biopsy in the Third Affiliated Hospital of Zhengzhou University from January 2022 to January 2023 were selected and divided into negative conversion group(55 cases),continuous group(70 cases)and upgraded group(29 cases)according to the follow-up results.Logistic regression was used to analyze the influence of related factors on the outcome of LSIL.Results There were statistically significant differences in the number of vaginal births,the results of thin-prep cytology test,human papilloma virus(HPV)typing,whether vaginal LSIL was combined,whether there were symptoms,and vaginal microecology among three groups(P＜0.05).Multivariate Logistic analysis showed that combined vaginal LSIL,vaginal microecological abnormalities,atypical squamous cell-cannot exclude high-grade squamous intraepithelial lesion(ASC-H)/high-grade squamous intraepithelial lesion(HSIL),HPV 16/18 positive or mixed positive were independent risk factors for persistent infection(P＜0.05),combined vaginal LSIL,symptomatic,vaginal microecological abnormalities,ASC-H/HSIL,HPV 16/18 positive or mixed positive were all independent risk factors for escalation of lesions(P＜0.05).Conclusion Patients with vaginal LSIL,vaginal microecological abnormalities,ASC-H/HSIL,HPV 16/18 positive or mixed positive should be followed up and early intervention to reduce the risk of disease escalation.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Objective To establish the fingerprints of QiangliDingxuan tablets(QLDX),determine their pharmacody-namic indexes of vasodilation and study the spectrum-effect relationships between the chemical components of QLDX and the property of vasodilation.Methods The rate of vascular relaxation was used as an index to evaluate the extent to which QLDX relaxed isolated superior mesenteric artery ring.The Grey correlation degree and partial least square regression(PLSR)were used to analyze"spectrum-effect"correlations before components with greater contribution to drug efficacy were screened out.Results There were 21 common peaks in the HPLC fingerprint of QLDX,and the similarity exceeded 0.88.A comparison with the chromatogram of the reference substance revealed 14 characteristic peaks.Vasodilative experiments showed that all the 10 batches of samples had vasodilatory effects.The correlation between the 21 chromato-graphic peaks was greater than 0.73.PLSR showed that 11 components were positively correlated with the vasodilatory effect.Six known compounds included parishin A,parishin C,5-hydroxymethylfurfural,luteolin,Linarin and ligustrazine.Conclusion The vasodilatory effect of QLDX results from the combined action of multiple components.Parishin A,parishin C,5-hydroxymethylfurfural,luteolin,Linarin and ligustrazine are positively correlated with this effect,which may be the main pharmacodynamic substance basis of vascular relaxation.

Purpose: The prognosis of patients with hepatocellular carcinoma (HCC) and portal vein tumor thrombus (PVTT) is extremely poor, and systemic therapy is currently the mainstream treatment. This study aimed to assess the efficacy and safety of lenvatinib combined with anti–programmed cell death-1 antibodies and transcatheter arterial chemoembolization (triple therapy) in patients with HCC and PVTT. Materials and Methods: This retrospective multicenter study included patients with HCC and PVTT who received triple therapy, were aged between 18 and 75 years, classified as Child-Pugh class A or B, and had at least one measurable lesion. The overall survival (OS), progression-free survival (PFS), objective response rates, and disease control rates were analyzed to assess efficacy. Treatment-related adverse events were analyzed to assess safety profiles. Results: During a median follow-up of 11.23 months (range, 3.07 to 34.37 months), the median OS was greater than 24 months, and median PFS was 12.53 months. The 2-year OS rate was 54.9%. The objective response rate and disease control rate were 69.8% (74/106) and 84.0% (89/106), respectively; 20.8% (22/106) of the patients experienced grade 3/4 treatment-related adverse events and no treatment-related deaths occurred. The conversion rate to liver resection was 31.1% (33/106), with manageable postoperative complications. The median OS was not reached in the surgery group, but was 19.08 months in the non-surgery group. The median PFS in the surgery and non-surgery groups were 20.50 and 9.00 months, respectively. Conclusion Triple therapy showed promising survival benefits and high response rates in patients with HCC and PVTT, with manageable adverse effects.