Objective To establish a pediatric rare disease catalog,analyze the current status of therapeutic drugs and their coverage of the medical insurance in China,and propose strategies to enhance drug accessibility.Methods Pediatric rare diseases were identified from China's two national rare disease catalogs combined with the EU Orphanet database,US FDA orphan drug database,and the Diagnosis and Treatment Standards for Rare Diseases in Children.We created a specialized drug catalog for pediatric rare diseases,then analyzed drug types(ATC classification),pricing,and medical insurance coverage using descriptive statistics based on Yaozhi.com drug bidding prices and the 2024 Drug of List National Basic Medical Insurance(NBMIDL).Drug affordability was assessed through annual treatment cost calculations.Results The national catalogs included 151 pediatric rare diseases(72.95%of listed conditions),spanning 13 disease systems.We identified 94 dedicated orphan drugs(by generic name)for these conditions,among which 43 were approved internationally but unavailable in China.The average unit price per package was 6 113.53 yuan.Overall NBMIDL coverage was 68.83%,but drugs priced above 7 000 yuan per unit had only 7.69%coverage.Annual treatment costs reached 4.54 million for laronidase(mucopolysaccharidosis).Conclusions Critical gaps persist in China's pediatric rare disease treatment landscape,including catalog deficiencies,inadequate coverage for high-cost drugs and insufficient domestic innovation.It is recommended to establish a list of orphan drugs for pediatric rare diseases,accelerate the import of foreign drugs and the local innovative drugs through policy incentives,optimizing medical insurance reimbursement mechanisms for pediatric rare disease drugs to comprehensively improve therapeutic accessibility.

Aim Based on coronary CT-fractional flow reserve(CT-FFR)combined with machine learning methods,a nomogram prediction model for coronary in-stent restenosis(ISR)was developed to assess the risk of ISR.Methods Retrospective analysis was performed on patients who underwent re-examination after PCI at our hospital from January 2022 to January 2025.According to the exclusion criteria,a total of 210 patients were enrolled,including 100 cases of ISR and 110 cases of non-ISR.The dataset was randomly divided into training and test sets at a 7∶3 ratio.Af-ter univariate analysis to screen potential predictors,LASSO regression was applied to identify feature variables with non-ze-ro coefficients.Subsequently,three machine learning(ML)algorithms including random forest(RF),support vector machine(SVM),and extreme gradient boosting(XGB)were used to rank the importance of the significant factors.The intersection of the top 10 variables from each algorithm was used as input for bidirectional stepwise multivariate Logistic re-gression.An ISR risk score was then constructed and visualized using a nomogram.Results A total of 14 predictive factors were identified through LASSO regression,including diastolic blood pressure,C-reactive protein,triglycerides(TG),N-terminal pro-brain natriuretic peptide(NT-proBNP),low density lipoprotein cholesterol(LDLC),minimum stent diameter＜3 mm,systolic blood pressure,△CT-FFR,CT-FFR,interleukin-6(IL-6),body mass index,glycosylated hemoglobin(HbA1c),history of hypertension,and high density lipoprotein cholesterol(HDLC).Following stepwise screening using three ML algorithms and Logistic regression,six independent risk factors for ISR were identified:elevated△CT-FFR,IL-6,NT-proBNP,TG and CT-FFR values,and minimum stent diameter＜3 mm.The area under the curve for the training set and test set were 0.995(95％CI:0.989～1.000)and 0.965(95％CI:0.927～1.000),respectively.Decision curve analysis demonstrated high net benefit across threshold probabilities of 0～1.00 in the training set and 0～0.92 in the test set.The nomogram integrating these six predictors exhibited high accuracy and clinical utility.Con-clusion The ISR nomogram prediction model based on LASSO-ML combined with CT-FFR technology has high accuracy and clinical utility for ISR.

Objective To establish a pediatric rare disease catalog,analyze the current status of therapeutic drugs and their coverage of the medical insurance in China,and propose strategies to enhance drug accessibility.Methods Pediatric rare diseases were identified from China's two national rare disease catalogs combined with the EU Orphanet database,US FDA orphan drug database,and the Diagnosis and Treatment Standards for Rare Diseases in Children.We created a specialized drug catalog for pediatric rare diseases,then analyzed drug types(ATC classification),pricing,and medical insurance coverage using descriptive statistics based on Yaozhi.com drug bidding prices and the 2024 Drug of List National Basic Medical Insurance(NBMIDL).Drug affordability was assessed through annual treatment cost calculations.Results The national catalogs included 151 pediatric rare diseases(72.95%of listed conditions),spanning 13 disease systems.We identified 94 dedicated orphan drugs(by generic name)for these conditions,among which 43 were approved internationally but unavailable in China.The average unit price per package was 6 113.53 yuan.Overall NBMIDL coverage was 68.83%,but drugs priced above 7 000 yuan per unit had only 7.69%coverage.Annual treatment costs reached 4.54 million for laronidase(mucopolysaccharidosis).Conclusions Critical gaps persist in China's pediatric rare disease treatment landscape,including catalog deficiencies,inadequate coverage for high-cost drugs and insufficient domestic innovation.It is recommended to establish a list of orphan drugs for pediatric rare diseases,accelerate the import of foreign drugs and the local innovative drugs through policy incentives,optimizing medical insurance reimbursement mechanisms for pediatric rare disease drugs to comprehensively improve therapeutic accessibility.

Aim Based on coronary CT-fractional flow reserve(CT-FFR)combined with machine learning methods,a nomogram prediction model for coronary in-stent restenosis(ISR)was developed to assess the risk of ISR.Methods Retrospective analysis was performed on patients who underwent re-examination after PCI at our hospital from January 2022 to January 2025.According to the exclusion criteria,a total of 210 patients were enrolled,including 100 cases of ISR and 110 cases of non-ISR.The dataset was randomly divided into training and test sets at a 7∶3 ratio.Af-ter univariate analysis to screen potential predictors,LASSO regression was applied to identify feature variables with non-ze-ro coefficients.Subsequently,three machine learning(ML)algorithms including random forest(RF),support vector machine(SVM),and extreme gradient boosting(XGB)were used to rank the importance of the significant factors.The intersection of the top 10 variables from each algorithm was used as input for bidirectional stepwise multivariate Logistic re-gression.An ISR risk score was then constructed and visualized using a nomogram.Results A total of 14 predictive factors were identified through LASSO regression,including diastolic blood pressure,C-reactive protein,triglycerides(TG),N-terminal pro-brain natriuretic peptide(NT-proBNP),low density lipoprotein cholesterol(LDLC),minimum stent diameter＜3 mm,systolic blood pressure,△CT-FFR,CT-FFR,interleukin-6(IL-6),body mass index,glycosylated hemoglobin(HbA1c),history of hypertension,and high density lipoprotein cholesterol(HDLC).Following stepwise screening using three ML algorithms and Logistic regression,six independent risk factors for ISR were identified:elevated△CT-FFR,IL-6,NT-proBNP,TG and CT-FFR values,and minimum stent diameter＜3 mm.The area under the curve for the training set and test set were 0.995(95％CI:0.989～1.000)and 0.965(95％CI:0.927～1.000),respectively.Decision curve analysis demonstrated high net benefit across threshold probabilities of 0～1.00 in the training set and 0～0.92 in the test set.The nomogram integrating these six predictors exhibited high accuracy and clinical utility.Con-clusion The ISR nomogram prediction model based on LASSO-ML combined with CT-FFR technology has high accuracy and clinical utility for ISR.

ObjectiveTo explore the effects of different dosage forms of Kaixinsan （KXS） on the morphology and function of mitochondria in rat models of Alzheimer's disease （AD） and potential mechanisms of action. MethodsMale SD rats were randomly assigned to a sham group， model group， treatment groups receiving KXS decoction， powders， and granules （3.08 g·kg^-1）， as well as donepezil group （0.51×10^-3 g·kg^-1）， with 10 rats in each group. AD model was created using intracerebroventricular injection of streptozocin （STZ）. After 30 days of administration， behavioral assessments were conducted， and mitochondrial morphology was observed using transmission electron microscopy. Mitochondrial respiratory chain complex content was measured via enzyme-linked immunosorbent assay （ELISA）. Changes in mitochondrial membrane potential were measured via JC-1 staining， and superoxide dismutase （SOD） activity and reactive oxygen species （ROS） levels were measured via biochemical assays. The mRNA expression of adenosine 5'-monophosphate-activated protein kinase （AMPK）， peroxisome proliferator-activated receptor gamma coactivator-1α （PGC-1α）， and silent information regulator 3 （SIRT3） was detected by real-time fluorescent quantitative polymerase chain reaction （Real-time PCR）， and Western blot was used to examine the protein expression levels of optic atrophy protein1 （OPA1）， mitochondrial fission protein 1 （FIS1）， AMPK， p-AMPK， PGC-1α， and SIRT3. ResultsCompared with the sham group， rats in the model group had significantly lower recognition index， spontaneous alternation rate， escape latency， number of platform crossings， time spent in the target quadrant， and percentage of distance traveled in the target quadrant distance （P<0.05， P<0.01）. Significant mitochondrial damage was observed in the hippocampal tissue， with a marked decrease in mitochondrial respiratory chain complex content （P<0.01） and reduced mitochondrial membrane potential （P<0.05）. Additionally， the SOD activity was reduced， while ROS levels were elevated （P<0.01）. The mRNA expression of PGC-1α and SIRT3 was significantly downregulated （P<0.01）， along with decreased protein expression levels of OPA1， p-AMPK/AMPK， PGC-1α， and SIRT3， whereas FIS1 protein expression was significantly upregulated （P<0.05， P<0.01）. Compared with the model group， rats in KXS-treated groups （various dosage forms） showed significant improvement in behavioral indexes （P<0.05， P<0.01）， reduced hippocampal mitochondrial damage， and more organized mitochondrial cristae. Mitochondrial respiratory chain complex content was significantly increased （P<0.05， P<0.01）， and mitochondrial membrane potentials were elevated （P<0.05）. SOD activity was elevated， and ROS levels were significantly reduced （P<0.05， P<0.01）. Furthermore， the mRNA expression of PGC-1α and SIRT3 was upregulated， with increased protein levels of OPA1， p-AMPK/AMPK， PGC-1α， and SIRT3， while FIS1 protein expression levels were significantly reduced （P<0.05， P<0.01）. Across the KXS-treated groups， the granule group showed a higher spontaneous alternation rate than the decoction and powder groups （P<0.05）. ConclusionKXS decoction， powders， and granules can improve the learning and memory ability of rats， with granules being the most effective. The mechanism of action may involve activation of the AMPK/PGC-1α/SIRT3 signaling pathway， improvement of the mitochondrial function， and subsequent amelioration of the brain energy metabolism disorders.

ObjectiveTo explore the effects of different dosage forms of Kaixinsan （KXS） on the morphology and function of mitochondria in rat models of Alzheimer's disease （AD） and potential mechanisms of action. MethodsMale SD rats were randomly assigned to a sham group， model group， treatment groups receiving KXS decoction， powders， and granules （3.08 g·kg^-1）， as well as donepezil group （0.51×10^-3 g·kg^-1）， with 10 rats in each group. AD model was created using intracerebroventricular injection of streptozocin （STZ）. After 30 days of administration， behavioral assessments were conducted， and mitochondrial morphology was observed using transmission electron microscopy. Mitochondrial respiratory chain complex content was measured via enzyme-linked immunosorbent assay （ELISA）. Changes in mitochondrial membrane potential were measured via JC-1 staining， and superoxide dismutase （SOD） activity and reactive oxygen species （ROS） levels were measured via biochemical assays. The mRNA expression of adenosine 5'-monophosphate-activated protein kinase （AMPK）， peroxisome proliferator-activated receptor gamma coactivator-1α （PGC-1α）， and silent information regulator 3 （SIRT3） was detected by real-time fluorescent quantitative polymerase chain reaction （Real-time PCR）， and Western blot was used to examine the protein expression levels of optic atrophy protein1 （OPA1）， mitochondrial fission protein 1 （FIS1）， AMPK， p-AMPK， PGC-1α， and SIRT3. ResultsCompared with the sham group， rats in the model group had significantly lower recognition index， spontaneous alternation rate， escape latency， number of platform crossings， time spent in the target quadrant， and percentage of distance traveled in the target quadrant distance （P<0.05， P<0.01）. Significant mitochondrial damage was observed in the hippocampal tissue， with a marked decrease in mitochondrial respiratory chain complex content （P<0.01） and reduced mitochondrial membrane potential （P<0.05）. Additionally， the SOD activity was reduced， while ROS levels were elevated （P<0.01）. The mRNA expression of PGC-1α and SIRT3 was significantly downregulated （P<0.01）， along with decreased protein expression levels of OPA1， p-AMPK/AMPK， PGC-1α， and SIRT3， whereas FIS1 protein expression was significantly upregulated （P<0.05， P<0.01）. Compared with the model group， rats in KXS-treated groups （various dosage forms） showed significant improvement in behavioral indexes （P<0.05， P<0.01）， reduced hippocampal mitochondrial damage， and more organized mitochondrial cristae. Mitochondrial respiratory chain complex content was significantly increased （P<0.05， P<0.01）， and mitochondrial membrane potentials were elevated （P<0.05）. SOD activity was elevated， and ROS levels were significantly reduced （P<0.05， P<0.01）. Furthermore， the mRNA expression of PGC-1α and SIRT3 was upregulated， with increased protein levels of OPA1， p-AMPK/AMPK， PGC-1α， and SIRT3， while FIS1 protein expression levels were significantly reduced （P<0.05， P<0.01）. Across the KXS-treated groups， the granule group showed a higher spontaneous alternation rate than the decoction and powder groups （P<0.05）. ConclusionKXS decoction， powders， and granules can improve the learning and memory ability of rats， with granules being the most effective. The mechanism of action may involve activation of the AMPK/PGC-1α/SIRT3 signaling pathway， improvement of the mitochondrial function， and subsequent amelioration of the brain energy metabolism disorders.

Benzylisoquinoline alkaloids (BIAs) are a structurally diverse group of plant metabolites renowned for their pharmacological properties. However, sustainable sources for these compounds remain limited. Consequently, researchers are focusing on elucidating BIA biosynthetic pathways and genes to explore alternative sources using synthetic biology approaches. CYP80B, a family of cytochrome P450 (CYP450) enzymes, plays a crucial role in BIA biosynthesis. Previously reported CYP80Bs are known to catalyze the 3'-hydroxylation of (S)-N-methylcoclaurine, with the N-methyl group essential for catalytic activity. In this study, we successfully cloned a full-length CYP80B gene (StCYP80B) from Stephania tetrandra (S. tetrandra) and identified its function using a yeast heterologous expression system. Both in vivo yeast feeding and in vitro enzyme analysis demonstrated that StCYP80B could catalyze N-methylcoclaurine and coclaurine into their respective 3'-hydroxylated products. Notably, StCYP80B exhibited an expanded substrate selectivity compared to previously reported wild-type CYP80Bs, as it did not require an N-methyl group for hydroxylase activity. Furthermore, StCYP80B displayed a clear preference for the (S)-configuration. Co-expression of StCYP80B with the CYP450 reductases (CPRs, StCPR1, and StCPR2), also cloned from S. tetrandra, significantly enhanced the catalytic activity towards (S)-coclaurine. Site-directed mutagenesis of StCYP80B revealed that the residue H205 is crucial for coclaurine catalysis. Additionally, StCYP80B exhibited tissue-specific expression in plants. This study provides new genetic resources for the biosynthesis of BIAs and further elucidates their synthetic pathway in natural plant systems.
Cytochrome P-450 Enzyme System/chemistry* ; Benzylisoquinolines/chemistry* ; Hydroxylation ; Plant Proteins/chemistry* ; Alkaloids/metabolism* ; Stephania tetrandra/genetics*

Objective:To investigate the consistency and sensitivity of minimal residual disease (MRD) detected by multicolor flow cytometry (FCM) and real-time quantitative polymerase chain reaction (RQ-PCR) in patients with acute myeloid leukemia (AML) accompanied by monocytic differentiation after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:A retrospective case series study was conducted. A total of 218 patients diagnosed with AML accompanied by monocytic differentiation who underwent allo-HSCT in Peking University People's Hospital between January 2017 and December 2021 were included. MRD was detected by using bone marrow FCM and RQ-PCR at predefined intervals (at 1-, 2-, 3-, 4.5-, 6-, 9-, and 12-month before and after transplantation). Patients were grouped based on AML-related specific genes, and dynamic changes in MRD results detected by FCM and RQ-PCR after transplantation were analyzed to evaluate the correlation with post-transplant relapse.Results:A total of 218 enrolled patients included 114 males and 106 females, with the median age of 32 years (1-65 years). The median follow-up duration was 218 d (21-1 541 d). Hematologic relapse occurred in 26 patients (12.7%), with a median relapse time of 272 d (83-934 d); 35 patients (15.9%) died, including 15 (6.9%) due to leukemia relapse and 20 (9.2%) due to transplant-related mortality. Predictive markers for relapse included once WT1 positive (WT1+once), twice WT1 positive (WT1+twice), CBFβ::MYH11 fusion genes positive, mixed-lineage leukemia (MLL)-related fusion genes positive, AML1::ETO fusion genes positive, and once FCM positive (FCM+once), twice FCM positive (FCM+twice). The overall consistency rate between FCM and RQ-PCR for MRD detection in AML patients accompanied by monocytic differentiation after transplantation was 75.7% (165/218). The consistency rate of MRD detection results in WT1+once, WT1+ twice, MLL-related fusion gene positive, and NPM1 gene mutation positive with FCM was higher than the average value (>75.7%), while the consistency rate of MRD detection results in AML1::ETO and CBFβ::MYH11 fusion gene positive with FCM was lower than the average value (<75.7%). Notably, persistent low-level positivity without relapse after transplantation occurred in cases with WT1 (15 patients), NPM1 (2 patients), CBFβ::MYH11 (11 patients), or AML1::ETO (2 patients); in contrast, MLL-related fusion genes (particularly MLL::AF6 and MLL::AF9) positive after transplantation indicated relapse in patients. The sensitivity and specificity of RQ-PCR for MRD monitoring varied by genetic markers: WT1+once and WT1+twice (sensitivity: 66.7%, 50.0%; specificity: 84.5%, 91.1%, respectively), AML1::ETO (sensitivity: 100.0%; specificity: 50.0%), CBFβ::MYH11 (sensitivity: 100.0%; specificity: 58.6%), MLL-related fusion genes (sensitivity: 75.0%; specificity: 96.4%), and NPM1 (sensitivity: 75.0%; specificity: 91.7%).Conclusions:The sensitivity and specificity of AML-related genetic markers for recurrence prediction show differences. Discrepancies between RQ-PCR and FCM in MRD detection are notable in AML with monocytic differentiation after transplantation. FCM exhibits relatively lower sensitivity for MRD monitoring in this subtype, while RQ-PCR based on AML-related genes may compensate for FCM limitations.

The prevalence of female pelvic floor dysfunction (PFD) ranges from 17.8% to 74.07%, with approximately 30% of patients experiencing comorbid anxiety, depression, or other psychological disorders, severely impairing their quality of life. Current assessment methods for PFD are primarily based on clinical techniques such as the pelvic organ prolapse quantification and two-dimensional ultrasound. But they are limited by high subjectivity, operational complexity, and the inability to provide real-time dynamic evaluation. In recent years, emerging technologies including high-density electromyography, three-dimensional ultrasound, specific biomarkers, and artificial intelligence have complemented conventional clinical methods by providing dynamic functional data and molecular-level evidence, achieving multidimensional “structure-function-molecular”assessment of PFD. The relevant literature on PFD assessment published in CNKI, PubMed, and other databases from 2019 to 2024 were retrieved. The current application status and value of commonly used clinical techniques, the core characteristics of emerging technology assessments, and the integration path between the two were reviewed, so as to provide the evidence for individualized diagnosis and treatment of PFD.

Objective : To analyze the epidemiological characteristics and spatial clustering of brucellosis in Shanxi Province from 2019 to 2023, so as to provide a reference for formulating prevention and control measures of brucellosis. Methods: The case data of brucellosis in Shanxi Province from 2019 to 2023 were collected through the Infectious Disease Surveillance System of the Chinese Disease Prevention and Control Information System. The seasonal distribution, population distribution, and region distribution of brucellosis cases were described. Spatial autocorrelation analysis was applied to explore the spatial clustering characteristics of brucellosis. Results: A total of 21 241 human brucellosis cases were reported in Shanxi Province from 2019 to 2023, with an average annual reported incidence of 11.87/100 000, showing an upward trend (P<0.05). The peak incidence period was from March to August, with 14 163 cases reported cumulatively, accounting for 66.68% of the total. There were 16 336 male cases and 4 905 female cases, with a male-to-female ratio of 3.33:1. The high-incidence age group was 40-<70 years, with 15 675 cases accounting for 73.80%. The majority of patients were farmers, with 17 926 cases accounting for 84.39%. Spatial autocorrelation analysis showed that there was spatial clustering in the incidence of brucellosis from 2019 to 2023 (all Moran's I>0, P<0.05). The high-high clustering areas were mainly Datong City, and Shuozhou City in northern Shanxi, and Linfen City in the southern Shanxi. The low-low clustering areas were mainly Taiyuan City and Yangquan City in central Shanxi, and Changzhi City and Jincheng City in southeastern Shanxi. Conclusions From 2019 to 2023, the reported incidence of brucellosis in Shanxi Province showed an upward trend. The incidence peaked from March to August, and males, middle-aged and elderly people and farmers were the high-risk groups. There was spatial clustering and the high-high clustering areas gradually expanded from northern Shanxi to southern Shanxi.