ObjectiveTo examine the influences of Shenfu injection on the endogenous metabolic byproducts in the myocardium of the rat model exhibiting chronic heart failure， thus deciphering the therapeutic mechanism of the Qi-reinforcing and Yang-warming method. MethodsSD rats were randomly allocated into a control group and a modeling group. Chronic heart failure with heart-Yang deficiency syndrome in rats was modeled by multi-point subcutaneous injection of isoproterenol， and the rats were fed for 14 days after modeling. The successfully modeled rats were randomized into model， Shenfu injection （6.0 mL·kg^-1）， and trimetazidine （10 mg·kg^-1） groups and treated with corresponding agents for 15 days. The control group and the model group were injected with equal doses of normal saline， and the samples were collected after the intervention was completed. Cardiac color ultrasound was performed. Hematoxylin-eosin （HE） staining was used to observe histopathological morphology， and the serum level of N-terminal pro-brain natriuretic peptide （NT-proBNP） was assessed by enzyme-linked immunosorbent assay （ELISA）. The mitochondrial morphological and structural changes of cardiomyocytes were observed by transmission electron microscopy， and the metabolic profiling was carried out by ultra high performance liquid chromatography-quantitative exactive-mass spectrometry （UHPLC-QE-MS）. Differential metabolites were screened and identified by orthogonal partial least squares-discriminant analysis （OPLS-DA） and other methods， and then the MetaboAnalyst database was used for further screening. The relevant biological pathways were obtained through pathway enrichment analysis. The receiver operating characteristic （ROC） curve was established to evaluate the diagnostic value of each potential biomarker for myocardial injury and the evaluation value for drug efficacy. ResultsThe results of color ultrasound showed that Shenfu Injection improved the cardiac function indexes of model rats （P<0.05）. The results of HE staining showed that Shenfu injection effectively alleviated the pathological phenomena such as myocardial tissue structure disorder and inflammatory cell infiltration in model rats. The results of ELISA showed that Shenfu injection effectively regulated the serum NT-proBNP level in the model rats. Transmission electron microscopy （TEM） showed that Shenfu injection effectively restored the mitochondrial morphological structure. The results of metabolomics showed that the metabolic phenotypes of myocardial samples presented markedly differences between groups. Nine differential metabolites could be significantly reversed in the Shenfu injection group， involving three metabolic pathways： pyruvate metabolism， histidine metabolism， and citric acid cycle （TCA cycle）. The results of ROC analysis showed that the area under the curve （AUC） values of all metabolites were between 0.75 and 1.0， indicating that the differential metabolites had high diagnostic accuracy for myocardial injury， and the changes in their expression levels could be used as potential markers for efficacy evaluation. ConclusionShenfu injection significantly alleviated the damage of cardiac function， myocardium， and mitochondrial structure in the rat model of chronic heart failure with heart-Yang deficiency syndrome by ameliorating energy metabolism remodeling. Reinforcing Qi and warming Yang is a key method for treating chronic heart failure with heart-Yang deficiency syndrome.

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

OBJECTIVES: To investigate the clinical sub-phenotype (SP) of pediatric acute kidney injury (AKI) and their association with clinical outcomes. METHODS: General status and initial values of laboratory markers within 24 hours after admission to the pediatric intensive care unit (PICU) were recorded for children with AKI in the derivation cohort (n=650) and the validation cohort (n=177). In the derivation cohort, a least absolute shrinkage and selection operator (LASSO) regression analysis was used to identify death-related indicators, and a two-step cluster analysis was employed to obtain the clinical SP of AKI. A logistic regression analysis was used to develop a parsimonious classifier model with simplified metrics, and the area under the curve (AUC) was used to assess the value of this model. This model was then applied to the validation cohort and the combined derivation and validation cohort. The association between SPs and clinical outcomes was analyzed with all children with AKI as subjects. RESULTS: In the derivation cohort, two clinical SPs of AKI (SP1 and SP2) were identified by the two-step cluster analysis using the 20 variables screened by LASSO regression, namely SP_d1 group (n=536) and SP_d2 group (n=114). The simplified classifier model containing eight variables (P<0.05) had an AUC of 0.965 in identifying the two clinical SPs of AKI (P<0.001). The validation cohort was clustered into SP_v1 group (n=156) and SP_v2 group (n=21), and the combined derivation and validation cohort was clustered into SP1 group (n=694) and SP2 group (n=133). After adjustment for confounding factors, compared with the SP1 group, the SP2 group had significantly higher incidence rates of multiple organ dysfunction syndrome and death during the PICU stay (P<0.001), and SP2 was significantly associated with the risk of death within 28 days after admission to the PICU (P<0.001). CONCLUSIONS This study establishes a parsimonious classifier model and identifies two clinical SPs of AKI with different clinical features and outcomes.The SP2 group has more severe disease and worse clinical prognosis.
Humans ; Acute Kidney Injury/diagnosis* ; Prognosis ; Male ; Female ; Child ; Child, Preschool ; Phenotype ; Infant ; Logistic Models ; Adolescent

OBJECTIVE: To explore the functional roles and underlying mechanisms of neferine in the context of angiotensin II (Ang II)-induced hypertension and vascular dysfunction. METHODS: Male mice were infused with Ang II to induce hypertension and randomly divided into treatment groups receiving neferine or a control vehicle based on baseline blood pressure using a random number table method. The hypertensive mouse model was constructed by infusing Ang II via a micro-osmotic pump (500 ng/kg per minute), and neferine (0.1, 1, or 10 mg/kg), valsartan (10 mg/kg), or double distilled water was administered intragastrically once daily for 6 weeks. A non-invasive blood pressure system, ultrasound, and hematoxylin and eosin staining were performed to assess blood pressure and vascular changes. RNA sequencing and network pharmacology were employed to identify differentially expressed transcripts (DETs) and pathways. Vascular ring tension assay was used to test vascular function. A7R5 cells were incubated with neferine for 24 h and then treated with Ang II to record the real-time Ca²⁺ concentration by confocal microscope. Immunohistochemistry (IHC) and Western blot were used to evaluate vasorelaxation, calcium, and the extracellular signal-regulated kinase (ERK)1/2 pathway. RESULTS: Neferine treatment effectively mitigated the elevation in blood pressure, pulse wave velocity, aortic thickening in the abdominal aorta of Ang II-infused mice (P<0.05). RNA sequencing and network pharmacology analysis identified 355 DETs that were significantly reversed by neferine treatment, along with 25 potential target genes, which were further enriched in multiple pathways and biological processes, such as ERK1 and ERK2 cascade regulation, calcium pathway, and vascular smooth muscle contraction. Further investigation revealed that neferine treatment enhanced vasorelaxation and reduced Ca²⁺-dependent contraction of abdominal aortic rings, independent of endothelium function (P<0.05). The underlying mechanisms were mediated, at least in part, via suppression of receptor-operated channels, store-operated channels, or voltage-operated calcium channels. Neferine pre-treatment demonstrated a reduction in intracellular Ca²⁺ release in Ang II stimulated A7R5 cells. IHC staining and Western blot confirmed that neferine treatment effectively attenuated the upregulation of p-ERK1/2 both in vivo and in vitro, which was similar with treatment of ERK1/2 inhibitor PD98059 (P<0.05). CONCLUSIONS Neferine remarkably alleviates Ang II-induced elevation of blood pressure, vascular dysfunction, and pathological changes in the abdominal aorta. This beneficial effect is mediated by the modulation of multiple pathways, including calcium and ERK1/2 pathways.
Animals ; Angiotensin II ; Male ; Benzylisoquinolines/therapeutic use* ; Network Pharmacology ; Blood Pressure/drug effects* ; Sequence Analysis, RNA ; Mice ; Hypertension/chemically induced* ; Mice, Inbred C57BL ; Calcium/metabolism*

OBJECTIVE: To explore the effects of electroacupuncture (EA) on pregnancy outcomes after assisted reproduction and mitochondrial function of granulosa cells (GCs) in patients with polycystic ovary syndrome (PCOS) and phlegm-dampness syndrome. METHODS: In this randomized controlled trial, 90 infertile women with PCOS and phlegm-dampness syndrome were recruited between August 2022 and December 2022. Patients were randomly assigned to the EA and control groups using a random sequence of codes in the order of enrolment, with 45 in in each group. Both groups underwent the ovarian stimulation protocol. The patients in the EA group received EA therapy including Zhongwan (CV 12), Qihai (CV 6), bilateral Xuehai (SP 10), Sanyinjiao (SP 6), Yinlingquan (SP 9), Tianshu (ST 25), Zusanli (ST 36), and Fenglong (ST 40), and the patients in the control group was treated with pseudo-acupuncture. The intervention was 25 min twice a week for a total of 6 times until the trigger day after menstruation had ended in the cycle before oocyte retrieval. The primary outcomes were clinical pregnancy rate (CPR) and the number of high-quality embryos. The secondary outcomes were (1) pregnancy-related indicators, including fresh embryo transfer rate (ETR), ovarian hyperstimulation syndrome (OHSS) rate, early pregnancy loss rate (ePLR), ectopic pregnancy rate, live birth rate (LBR), and cumulative CPR; (2) mitochondrial autophagy and mitochondrial membrane potential (MMP) in GCs; and (3) scoring for Chinese medicine syndrome. Adverse events to assess clinical safety were also monitored. RESULTS: The cumulative CPR was significantly higher in the EA group (42/45, 93.3%) than in the control group (38/45, 84.4%, P=0.036). The number of high-quality embryos and fresh ETR in the EA group were higher than those in the control group (3.80±1.65 vs. 2.44±1.34, P<0.001; 46.7% vs 24.4%, P=0.028). Ectopic pregnancies were not observed in either group. There were no significant differences in the fresh CPR, OHSS rate, ePLR or LBR between the two groups (P>0.05). Compared with the control group, the EA group showed lower expression levels of miR-146a-5p mRNA and P62 protein in GCs and higher levels of MMP and the LC3-II/LC3-I protein ratio (all P<0.01). The phlegm-dampness syndrome scores of the EA group were significantly lower than those of the control group (P<0.01). CONCLUSIONS EA significantly improved pregnancy outcomes in patients with PCOS and phlegm dampness syndrome. Mechanistically, this effect may be related to EA in decreasing miR-146a-5p mRNA expression, promoting mitochondrial autophagy in GCs, and improving mitochondrial function, which may contribute to improved oocyte quality. (Trial registration No. ChiCTR2200062915).
Humans ; Female ; Polycystic Ovary Syndrome/therapy* ; Pregnancy ; Electroacupuncture ; Granulosa Cells/metabolism* ; Adult ; Mitochondria/metabolism* ; Pregnancy Outcome ; Pregnancy Rate ; Reproductive Techniques, Assisted ; Infertility, Female/therapy*

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Aim To explore the mechanism of Jiawei Shaofu Zhuyu decoction in antagonizing endometriosis fibrosis by regulating mitophagy.Methods After the animal model was constructed,the syndrome was evalu-ated by general condition,organ water content and ther-mal imaging.The curative effect was evaluated by the weight of ectopic focus and the degree of adhesion.The pathological changes were compared using HE stai-ning,transmission electron microscopy,Masson and Sir-ius red staining.The expression of PINK1 and Parkin was detected by immunohistochemistry.The expression of mRNA and protein was determined by qPCR and Western blot,and the level of serum ROS was detected by ELISA.Results The autonomic activity of model mice was weakened,the water content of organs rose,and the temperature of limbs and lower abdomen was reduced by thermal imaging.HE staining showed obvi-ous hyperplasia of ectopic epithelium and glands.Transmission electron microscopy showed mitochondrial and endoplasmic reticulum structure damage,and nor-mal autophagy structure disappeared.Masson and Siri-us red staining showed increased collagen deposition;immunohistochemistry showed decreased expression of PINK1 and Parkin in ectopic foci.qPCR and Western blot showed that the expression of PINK1,Parkin,Bec-lin1,LC3 mRNA and protein in ectopic foci of model mice decreased,the expression of p62 mRNA and pro-tein increased,and serum ROS increased.The syn-drome performance of model mice was improved after the intervention of Jiawei Shaofu Zhuyu decoction;the inflammatory infiltration of ectopic foci was relieved,the morphology of mitochondria and endoplasmic retic-ulum was restored,and normal autophagy structure ap-peared.The degree of collagen deposition and fibrosis was reduced;the mRNA and protein expression of PINK1,Parkin,Beclin1 and LC3 increased.The ex-pression of p62 mRNA and protein decreased,and the level of ROS decreased.Conclusions Jiawei Shaofu Zhuyu decoction can improve the fibrosis of ectopic le-sions in mice with endometriosis of cold-dampness sta-sis syndrome,which may be related to the regulation of mitophagy.

Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.

Objective:To assess the efficacy and safety of azacitidine combined with lenalidomide in MDS patients and explore potential mechanisms of therapeutic response.Methods:Sixteen MDS patients with TP53 mutations received azacitidine plus lenalidomide at ZhongDa Hospital, Southeast University (January 2021–June 2025). Efficacy and safety were assessed, and TP53 mutation status was correlated with treatment response. Whole-transcriptome sequencing and bioinformatics were used to explore molecular biomarkers associated with therapeutic efficacy.Results:Sixteen patients (median age 69.5 years, range 52–82; 8 males, 8 females) were enrolled. According to the Molecular International Prognostic Scoring System (IPSS-M), 1, 2, and 13 patients were classified as median low, high, and very high risk, respectively. Among 16 TP53-mutated patients, 11 had biallelic mutations and 5 had monoallelic mutations. Overall response rate was 56.3% (9/16), composite complete remission rate (CRc) was 31.3% (5/16), and hematology improvement rate was 25% (4/16). Among TP53-mutated patients, the response rate was 56.3% (9/16), with variant allele frequency dropping from 65.6% to 16.5% in responders ( P=0.017). In patients with TP53 mutations and complex karyotype, response rate was 53.8% (7/13), with 57.1% (4/7) showing disappearance of CK post-treatment. The most common grade 3–4 nonhematologic adverse events were infections (9/16, 56.3% ), including pneumonia (4/16, 25.0% ), gastrointestinal infections (3/16, 18.8% ), perianal infections (1/16, 6.3% ) and sepsis (1/16, 6.3% ). High CBX8 expression may be linked to treatment response. Conclusion:Azacitidine plus lenalidomide is an effective and safe therapy for MDS, including patients with TP53 mutations and complex karyotypes. Treatment markedly reduces TP53 variant allele frequency in responders, and high CBX8 expression may predict therapeutic response.

Objective:To investigate the efficacy and safety of a combination of programmed death receptor 1 (PD-1) inhibitor and multi-target tyrosine kinase inhibitor anlotinib in second-line treatment of non-small cell lung cancer (NSCLC).Methods:A prospective randomized controlled study was conducted. Using the random number table method, 118 NSCLC patients who were admitted to Shaanxi Provincial Cancer Hospital from June 2021 to June 2023 were randomly divided into the control group and the observation group, with 59 patients in each group. The observation group was treated with PD-1 inhibitor combined with anlotinib, while the control group was treated with PD-1 inhibitor. There were 36 males and 23 females in the observation group, with an age of (56±5) years; there were 34 males and 25 females in the control group, with an age of (56±5) years. There was no statistically significant difference in general clinicopathological data between the two groups (all P > 0.05). The short-term clinical efficacy [objective response rate (ORR) and disease control rate (DCR)], tumor-related factor levels [vascular endothelial growth factor (VEGF), matrix metalloproteinase 2 (MMP-2), tissue inhibitor of matrix metalloproteinase (TIMP), and tumor necrosis factor β1 (TNF-β1)], inflammatory status [plasma fibrinogen-to-albumin ratio (FAR)], lung function [forced vital capacity (FVC) and peak expiratory flow (PEF)] before and after treatment, the European Organization for Research and Treatment on Cancer (EORTC) core questionnaire for quality of life assessment (QLQ-C30) score, and occurrence of adverse reactions were compared between two groups of patients. Results:The ORR and DCR of the observation group were 33.90% (20/59) and 69.49% (41/59), respectively; the ORR and DCR of the control group were 10.17% (6/59) and 44.07% (26/59), respectively; the comparison of ORR and DCR between the two groups showed statistically significant differences ( χ2 values were 9.67 and 7.77, both P < 0.05). There was no statistically significant difference in the levels of tumor-related factors between the observation group and the control group before treatment (all P > 0.05); after 4 cycles of treatment, the levels of VEGF and MMP-2 in the observation group were lower than those in the control group, while the levels of TIMP and TNF-β1 were higher than those in the control group, and the differences were statistically significant (all P < 0.001). The FAR of the observation group and the control group before treatment were (0.15±0.06) g/L and (0.16±0.06) g/L, respectively, with no statistically significant difference ( t = 0.90, P = 0.367); after 4 cycles of treatment, the FAR were (0.07±0.01) g/L and (0.11±0.04) g/L, respectively, with statistically significant difference ( t = 7.45, P < 0.001). Before treatment, there was no statistically significant difference in FVC and PEF between the observation group and the control group (both P > 0.05); after 4 cycles of treatment, the FVC and PEF in the observation group were higher than those in the control group, and the differences were statistically significant (both P < 0.001). There were no statistically significant differences in the EORTC QLQ-C30 scores of functional dimension, symptom dimension and global health status/quality of life dimension between the observation group and the control group before treatment (all P > 0.05); after 4 cycles of treatment, the scores of functional dimension and global health status/quality of life dimension in the observation group were higher than those in the control group, while the symptom dimension score was lower than that in the control group, and the differences were statistically significant (all P < 0.001). The incidence of adverse reactions in the observation group was 6.78% (4/59), while in the control group it was 10.17% (6/59), and the difference was not statistically significant ( P = 0.741). Conclusions:The combination of PD-1 inhibitor and anlotinib in second-line treatment of NSCLC has good clinical efficacy, it can reduce the inflammatory response, improve the lung function and quality of life, and has good safety.