OBJECTIVE To establish a method for determining the contents of clopidogrel （CLP）， clopidogrel carboxylate （CLP-C）， clopidogrel acyl-β-D-glucuronide （CLP-G） and contents of clopidogrel active metabolite （CAM） in rat plasma， and to investigate their in vivo pharmacokinetic characteristics. METHODS The Shisedo CAPCELL ADME column was used with a mobile phase consisting of water and acetonitrile （both containing 0.1% formic acid） in a gradient elution. The flow rate was 0.4 mL/min， and the column temperature was maintained at 20 ℃. The injection volume was 2 μL. The analysis was performed in positive ion mode using electrospray ionization with multiple reaction monitoring. The ion pairs for quantitative analysis were m/z 322.1→211.9 （for CLP）， m/z 308.1→197.9 （for CLP-C）， m/z 322.1→154.8 （for CLP-G）， m/z 504.1→154.9 [for racemic CAM derivative （CAMD）]. Six rats were administered a single intragastric dose of CLP （10 mg/kg）. Blood samples were collected before medication and at 0.08， 0.33， 0.66， 1， 2， 4， 6， 10， 23 and 35 hours after medication. The established method was used to detect the serum contents of various components in rats. Pharmacokinetic parameters were then calculated using WinNonlin 6.1 software. RESULTS The linear ranges for CLP， CLP-C and CAMD were 0.08-20.00， 205.00-8 000.00， and 0.04-25.00 ng/mL， respectively （r≥0.990）. The relative standard deviations for both intra-day and inter-day precision tests were all less than 15%， and the relative errors for accuracy ranged from －11.68% to 14.40%. The coefficients of variation for the matrix factors were all less than 15%， meeting the requirements for bioanalytical method validation. The results of the pharmacokinetic study revealed that， following a single intagastric administration of CLP in rats， the exposure to the parent CLP in plasma was extremely low. Both the area under the drug concentration-time curve （AUC0-35 h） and the peak concentration of the parent CLP were lower than those of its metabolites. The AUC0-35 h of the active metabolite CAM was approximately 43 times that of CLP， though it had a shorter half-life （2.53 h）. The inactive metabolite CLP-C exhibited the highest exposure level， but it reached its peak concentration the latest and was eliminated slowly. The AUC0-35 h of CLP-G was about four times that of CAM， and its half-life was similar to that of CLP-C. CONCLUSIONS This study successfully established an liquid chromatography-tandem mass spectrometry method for the determination of CLP and its three metabolites， and revealed their pharmacokinetic characteristics in rats. Specifically， the parent drug CLP was rapidly eliminated， while the inactive metabolites CLP-C and CLP-G exhibited long half-lives， and active metabolite CAM displayed a transient exposure pattern.

The pathogenesis of neurodegenerative diseases (NDDs) is fundamentally linked to complex and profound alterations in metabolic networks within the brain, which exhibit marked spatial heterogeneity. While conventional bulk metabolomics is powerful for detecting global metabolic shifts, it inherently lacks spatial resolution. This methodological limitation hampers the ability to interrogate critical metabolic dysregulation within discrete anatomical brain regions and specific cellular microenvironments, thereby constraining a deeper understanding of the core pathological mechanisms that initiate and drive NDDs. To address this critical gap, spatial metabolomics, with mass spectrometry imaging (MSI) at its core, has emerged as a transformative approach. It uniquely overcomes the limitations of bulk methods by enabling high-resolution, simultaneous detection and precise localization of hundreds to thousands of endogenous molecules—including primary metabolites, complex lipids, neurotransmitters, neuropeptides, and essential metal ions—directly in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β‑protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.

Objective To investigate the effects of total flavones from Oxytropis falcata Bunge on hepatic fibrosis(HF)induced by carbon tetrachloride and liver transforming growth factor(TGF-β)/Smad signaling pathway.Methods Forty-eight male rats were randomly divided into normal group(intraperitoneal injection of peanut oil,intragastric administration of 0.9％NaCl),model group(intraperitoneal injection of 40％CC14 peanut oil solution induced HF model,intragastric administration of 0.9％NaCl),positive control group(modeling,intragastric administration of 0.2 mg·kg-1 of colchicine),experimental-L,-M,-H groups(modeling,intragastric administration of 100,200 and 400 mg·kg-1 of total flavonoid extract of Oxytropis falcata Bunge),8 individuals in each group,for 4 consecutive weeks.The histopathological changes were observed by hematoxylin-eosin and Masson staining.Serum liver function and liver fibrosis were measured;erum inflammatory factors were detected;fluorescence quantitative polymerase chain reaction(RT-qPCR)was used to determine gene expression in liver.Results The pathological injury of liver tissue in the model group was serious,and a large number of inflammatory factors and collagen fibers were accumulated,while the rest of the treatment groups had different degrees of remission.In normal group,model group,positive control group,experimental-L,-M,-H groups,glutamic-pyruvic transaminase levels were(49.28±12.44),(5 885.42±948.37),(4 454.60±489.27),(4 650.47±843.53),(3 761.75±887.30)and(3 544.90±1 066.75)μg·L-1;glutamic-oxaloacetic transaminase levels were(186.90±46.89),(5 936.23±793.81),(3 971.37±780.28),(4 360.30±863.35),(3 943.10±439.47)and(3 971.38±631.08)μg·L-1;hyaluronic acid levels were(45.08±17.16),(104.32±36.06),(66.83±20.09),(70.30±21.07),(60.00±9.68)and(59.02±10.73)μg·L-1;laminin levels were(23.13±3.89),(60.85±13.66),(35.67±9.92),(39.98±9.39),(36.55±12.21)and(34.68±24.83)μg·L-1;type Ⅲ procollagen level were(24.98±5.34),(82.58±30.14),(40.70±16.14),(51.08±23.21),(43.60±12.48)and(44.20±11.66)p±g·L-1;interleukin(IL)-1β levels were(37.63±1.24),(46.10±3.23),(39.22±2.36),(41.33±0.93),(40.25±2.04)and(39.18±2.23)pg·mL-1;tumor necrosis factor-α levels were(314.58±20.56),(383.71±16.97),(349.00±7.93),(348.88±25.11),(325.75±27.84)and(335.07±21.33)pg·mL-1;TGF-β1 mRNA expression of relative quantity respectively were 1.00±0.00,60.99±15.70,9.61±1.59,7.37±1.09,6.41±0.64,6.87±1.09;Smad7 mRNA relative expression were 1.00±0.00,0.34±0.05,0.21±0.03,0.35±0.02,0.38±0.02,0.42±0.03.The above indexes in the model group were compared with the normal group,and the above indexes in the experimental-M,-H groups were compared with the model group,and the differences were statistically significant(P＜0.05,P＜0.01,P＜0.001).Conclusion Total flavonoids of Oxytropis falcata Bunge have protective effects on CC14-induced liver fibrosis in rats,and the mechanism may be related to the regulation of TGF-β/Smad pathway.

Smoking is the leading preventable risk factor for disease and death worldwide. Tobacco and its smoke contain a complex mix of over 9 500 chemical substances, including oxidative gases, heavy metals, and 83 known carcinogens. Long-term smoking is a significant risk factor for respiratory diseases such as acute lung injury, emphysema, and pulmonary fibrosis. Damage to alveolar epithelial cells (AECs) is a common pathological feature in these smoking-related lung diseases. AECs, which line the surface of the alveoli, play a crucial role in preventing overexpansion or collapse, secreting cell factors and surfactants, containing abundant mitochondria, and being essential for lung tissue maturation, gas exchange, metabolism, and repair after damage. Damage to these cells can lead to pulmonary edema and alveolar collapse. Cigarette smoke (CS) can disrupt alveolar epithelial cell function through various pathways, resulting in cell death, tissue damage, and the development of lung diseases.This review summarizes recent research on the damage caused by CS to AECs, showing that CS can promote cell death and damage through induction of oxidative stress, autophagy, endoplasmic reticulum stress, mitochondrial dysfunction, inflammation, and epithelial-mesenchymal transition. It also affects the proliferative function of alveolar type II epithelial cells. The review highlights that CS-induced oxidative stress is a key factor in causing various types of damage, with TRP ion channels serving as important triggers. Inhibiting CS-induced oxidative damage can significantly prevent cell death and subsequent diseases such as pulmonary emphysema. The activation of the same pathway induced by CS can lead to different types of cell damage, potentially encouraging the development of different diseases. CS can either directly induce or indirectly promote cell inflammation through endoplasmic reticulum stress, mitochondrial dysfunction, and senescence. There are interconnected relationships between these mechanisms, and SIRT1 is an important protein in preventing CS-induced AECs damage. Increasing SIRT1 activity can alleviate CS-induced autophagy, endoplasmic reticulum stress, and senescence in various cell damages; its substrate NAD⁺ is already used clinically, and its effectiveness in COPD treatment deserves further exploration. The impact of CS on cells varies based on concentration: lower concentrations stimulate stress responses or apoptosis, while higher concentrations lead to apoptosis or necrosis through various mechanisms, ultimately impairing lung epithelial function. When external stimuli exceed the cells’ self-healing capacity, they can cause damage to cells, lung epithelial barriers, and alveoli, promoting the development of related lung diseases. Key proteins that play a protective role may serve as potential targets to mitigate cell damage.This review provides insights into the various mechanisms through which CS induces damage to AECs, covering important transcription factors, DNA repair proteins, and membrane channel proteins, paving the way for the study of new mechanisms and pathways. However, there are still unanswered questions, such as the need for further exploration of the upstream pathways of CS-induced autophagy in AECs and the intrinsic mechanisms of CS in enhancing the stem cell properties of AECs and its relationship to the occurrence of lung cancer.It is expected that this article will provide a theoretical basis for future research on the mechanisms of lung epithelial cell damage caused by CS or its individual components and inspire clinical strategies for the prevention and treatment of smoking-related lung diseases.

As the global population continues to age, the incidence of Alzheimer’s disease (AD), one of the most common neurodegenerative diseases, continues to rise significantly. As the disease progresses, the patient’s daily living abilities gradually decline, potentially leading to a complete loss of self-care abilities. According to estimates by the Alzheimer’s Association and the World Health Organization, AD accounts for 60%-70% of all other dementia cases, affecting over 55 million people worldwide. The case number is estimated to double by 2050. Despite extensive research, the precise etiology and pathogenesis of AD remain elusive. Researchers have a profound understanding of the disease’s pathological hallmarks, which include amyloid plaques and neurofibrillary tangles resulting from the abnormal phosphorylation of Tau protein. However, the exact causes and mechanisms of the disease are still not fully understood, leaving a vital gap in our knowledge and understanding of this debilitating disease. A crucial player that has recently emerged in the field of AD research is the α7 nicotinic acetylcholine receptor (α7nAChR). α7nAChR is composed of five identical α7 subunits that form a homopentamer. This receptor is a significant subtype of acetylcholine receptor in the central nervous system and is widely distributed in various regions of the brain. It is particularly prevalent in the hippocampus and cortical areas, which are regions associated with learning and memory. α7nAChR plays a pivotal role in several neurological processes, including neurotransmitter release, neuronal plasticity, cell signal transduction, and inflammatory response, suggesting its potential involvement in numerous neurodegenerative diseases, including AD. In recent years, the role of α7nAChR in AD has been the focus of extensive research. Emerging evidence suggests that α7nAChR is involved in several critical steps in the disease progression of AD. These include involvement in the metabolism of amyloid β-protein (Aβ), the phosphorylation of Tau protein, neuroinflammatory response, and oxidative stress. Each of these processes contributes to the development and progression of AD, and the involvement of α7nAChR in these processes suggests that it may play a crucial role in the disease’s pathogenesis. The potential significance of α7nAChR in AD is further reinforced by the observation that alterations in its function or expression can have significant effects on cognitive abilities. These findings suggest that α7nAChR could be a promising target for therapeutic intervention in AD. At present, the results of drug clinical studies targeting α7nAChR show that these compounds have improvement and therapeutic effects in AD patients, but they have not reached the degree of being widely used in clinical practice, and their drug development still faces many challenges. Therefore, more research is needed to fully understand its role and to develop effective treatments based on this understanding. This review aims to summarize the current understanding of the association between α7nAChR and AD pathogenesis. We provide an overview of the latest research developments and insights, and highlight potential avenues for future research. As we deepen our understanding of the role of α7nAChR in AD, it is hoped that this will pave the way for the development of novel therapeutic strategies for this devastating disease. By targeting α7nAChR, we may be able to develop more effective treatments for AD, ultimately improving the quality of life for patients and their families.

Objective This study aims to optimize the evaluation index system for the Party branch work of a hospital,grounded on Party regulations,and employ diversified assessment methods to integrate Party branch development with the advance-ment of medical,educational,and research endeavors.Methods This study utilized literature review and textual analysis to identi-fy relevant documents.Through qualitative interviews and convenience sampling,25 questionnaires were distributed to Party repre-sentatives at all levels within the hospital,yielding 25 valid responses.The 5-point Likert scale was applied to rate and assess the importance of 74 selected assessment indicators.Results A comprehensive evaluation system was established,which includes 5 pri-mary indicators,14 secondary indicators,and 53 tertiary indicators.Conclusion The existing comprehensive quantitative assess-ment system for Party branches has been optimized.The adoption of diversified evaluation methods has led to a clearer,more explic-it,and standardized objectives for Party branch construction,thereby enhancing its guiding and motivational role.

Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.

Objective To investigate the distribution patterns of traditional Chinese medicine(TCM)constitution in 959 patients with endometriosis(EMs).Methods From January 2019 to November 2019,959 EMs patients were selected from Guang'anmen Hospital of China Academy of Chinese Medical Sciences,Beijing Obstetrics and Gynecology Hospital Affiliated to Capital Medical University,Beijing Hospital,Dongfang Hospital of Beijing University of Chinese Medicine,Beijing Friendship Hospital Affiliated to Capital Medical University,and Fuxing Hospital Affiliated to Capital Medical University.The general clinical information of the patients was recorded and then the TCM constitution was identified.After that,the correlation of TCM constitution distribution with concurrent constitution and the relationship of TCM constitution distribution with age and the complication of dysmenorrhea were analyzed.Results(1)The constitution types of EMs patients listed in descending order of the proportion were yang deficiency constitution(65.1％,624/959),qi stagnation constitution(58.4％,560/959),qi deficiency constitution(52.8％,506/959),blood stasis constitution(44.2％,424/959),phlegm-damp constitution(42.5％,408/959),damp-heat constitution(41.9％,402/959),yin deficiency constitution(39.6％,380/959),balanced constitution(26.8％,257/959),and inherited special constitution(16.6％,159/959).Among the patients,there were fewer patients with single constitution,accounting for 20.2％(194/959),and most of them had concurrent constitution types,accounting for 79.8％(765/959).(2)The association rule mining based on Apriori algorithm obtained 33 related rules.The concurrent constitution types of qi deficiency-yang deficiency,blood stasis-yang deficiency,and blood stasis-qi stagnation were the association rules with high confidence.(3)Compared with patients aged 35 years and below,the patients over 35 years old were predominated by high proportion of blood stasis constitution(P＜0.05).Compared with patients without dysmenorrhea,the patients with dysmenorrhea had the increased proportion of biased constitutions and the decreased proportion of balanced constitution(P＜0.05 or P＜0.01).Conclusion Yang deficiency constitution,qi stagnation constitution,qi deficiency constitution and blood stasis constitution are the high-risk constitution types of EMs patients.The concurrent constitution types are commonly seen in EMs patients,which are more common than single biased constitution.Management of EMs patients with the methods of warming yang,relieving stagnation,benefiting qi and activating blood will be helpful for correcting the biased constitutions in time and preventing disease progression,which will achieve the preventive treatment efficacy through TCM constitution correction.

Objective To investigate the effects of Erhuang Quzhi Granules combined with Silibinin Capsules on fatty liver index,inflammatory factors and autophagy-related gene levels in patients with nonalcoholic fatty liver disease(NAFLD).Methods A total of 126 patients with NAFLD of phlegm blended with blood stasis type were randomly divided into control group and observation group,with 63 cases in each group.The control group was treated with oral use of Silibinin Capsules,and the observation group was treated with oral use of Erhuang Quzhi Granules on the basis of treatment for the control group.The course of treatment lasted for 3 months.Before and after treatment,the two groups were observed in the changes of fatty liver index,and the levels of inflammatory factors of interleukin 6(IL-6)and tumor necrosis factor alpha(TNF-α),liver function and blood lipid indicators of alanine aminotransferase(ALT),aspartate aminotransferase(AST),γ-glutamyl transpeptidase(GGT),total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-C)and low-density lipoprotein cholesterol(LDL-C),and autophagy-related genes of autophagy-related gene 7(ATG7)and myosin-like BCL2 binding protein(Beclin 1).After treatment,the clinical efficacy and safety of the two groups were evaluated.Results(1)After 3 months of treatment,the total effective rate of the observation group was 90.48％(57/63),and that of the control group was 71.43％(45/63).The intergroup comparison(tested by chi-square test)showed that the efficacy of the observation group was significantly superior to that of the control group(P＜0.01).(2)After treatment,the fatty liver index of the two groups was significantly decreased compared with that before treatment(P＜0.05),and the decrease of fatty liver index in the observation group was significantly superior to that in the control group(P＜0.01).(3)After treatment,the serum levels of inflammatory factors of IL-6 and TNF-α in the two groups were significantly lower than those before treatment(P＜0.05),and the decrease of serum IL-6 and TNF-α levels in the observation group was significantly superior to that in the control group(P＜0.05).(4)AAfter treatment,the serum levels of liver function indicators of ALT,AST and GGT in the two groups were significantly lower than those before treatment(P＜0.05),and the decrease of serum ALT,AST and GGT levels in the observation group was significantly superior to that in the control group(P＜0.05).(5)After treatment,the serum levels of blood lipids of TG,TC and LDL-C in the two groups were significantly lower than those before treatment(P＜0.05),and the serum HDL-C level was significantly higher than that before treatment(P＜0.05).The decrease of serum TG,TC and LDL-C levels and the increase of serum HDL-C level in the observation group were significantly superior to those in the control group(P＜0.05).(6)After treatment,the serum levels of autophagy-related genes of ATG7 and Beclin 1 in the two groups were significantly higher than those before treatment(P＜0.05),and the increase of serum ATG7 and Beclin 1 levels in the observation group was significantly superior to that in the control group(P＜0.05).(7)During the medication,no liver or kidney function damage or serious adverse reactions were found in the two groups.Conclusion Erhuang Quzhi Granules combined with Silibinin Capsules are effective for the treatment of NAFLD patients with phlegm blended with blood stasis type,which is helpful to relieve the symptoms of fatty liver,reduce the levels of inflammatory factors,improve liver function and blood lipid levels,and regulate the expression of autophagy-related genes.

Objective To analyze the drug resistance and serotype of Group B Streptococcus(GBS)isolated from pediatric patients,provide reference for the prevention and treatment of GBS infection as well as vaccine develop-ment in children.Methods 163 non-repetitive GBS strains detected at Beijing Children's Hospital of Capital Medi-cal University from January 1,2016 to December 31,2023 were collected.Strains were conducted resistance analy-sis and serotype testing.Results Among the 163 GBS strains,121 and 42 were invasive and non-invasive infection isolates,respectively.No strains were found to be resistant to penicillin,ceftriaxone,cefepime,linezolid,and van-comycin,and resistance rates to erythromycin,clindamycin,and levofloxacin were 91.4％,90.8％,and 53.4％,re-spectively.Non-invasive infection isolates had a higher resistance rate to levofloxacin than invasive infection isolates.The distribution of bacterial serotypes from high to low was as follows:type Ⅰb(n=75,46.0％),type Ⅲ(n=65,39.9％),type Ⅴ(n=13,8.0％),type Ⅰa(n=6,3.7％),type Ⅱ(n=2,1.2％),type Ⅳ and Ⅵ(n=1,0.6％,each).There was a statistically significant difference in the distribution of serotypes between invasive and non-invasive infection isolates(P＜0.05).Serotype distributions of erythromycin-and clindamycin-resistant GBS strains were both statistically different between two groups(both P＜0.05),while serotype distribution of levoflo-xacin-resistant GBS strains was not statistically different between two groups(P＞0.05).Conclusion GBS strains in children in Beijing have high resistance rates to erythromycin and clindamycin,with serotypes Ⅰb and Ⅲ being more frequent.Serotypes with high prevalence have higher resistance.Continuously monitoring on the epidemiology of GBS infection is crucial for the clinical prevention and treatment of GBS infection in children as well as the devel-opment of vaccines.