ObjectiveAbnormal lipids in neurons can cause the accumulation of α-synuclein（α-syn）. This study aimed to explore the mechanism of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis extract （ASH） in treating Parkinson's disease （PD） mice using lipidomics combined with network pharmacology. MethodsMice were divided into the blank group， model group and ASH （45.5 mg·kg^-1） group. Motor ability was evaluated by pole climbing time and autonomous activity count； The oxidative stress indicators were detected by enzyme-linked immunosorbent assay （ELISA）. Lipid biomarkers in brain tissues were screened and identified by ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS）， and metabolic pathway analysis was conducted. The key targets of ASH for PD treatment were explored using network pharmacology. The Kyoto Encyclopedia of Genes and Genomes （KEGG） database was used for pathway enrichment analysis， and the "compound-reaction-enzyme-gene" network was constructed using the MetScape plugin. The protein expression levels of glutathione S-transferase P1 （GSTP1）， glutathione S-transferase Mu 2 （GSTM2）， prostaglandin peroxide synthase 1 （PTGS1）， prostaglandin peroxide synthase 2 （PTGS2）， and prostaglandin E synthase （PTGES） were validated by Western blot. ResultsCompared with the blank group， the model group showed significantly prolonged pole climbing time and reduced autonomous activity count （P<0.01）. Compared with the model group， the ASH group demonstrated significantly faster pole climbing and increased autonomous activity count （P<0.01）. The model group exhibited significantly decreased superoxide dismutase （SOD） and glutathione peroxidase （GSH-Px） levels， and increased malondialdehyde （MDA） level in brain tissues compared with the blank group （P<0.01）. The ASH group showed increased SOD and GSH-Px levels and decreased MDA level compared with the model group （P<0.05， P<0.01）. Lipidomics analysis identified 10 differential metabolites and 8 differential metabolic pathways. Network pharmacological analysis revealed 213 intersection targets between ASH components and PD， with KEGG enrichment involving the sphingolipid signaling pathway， lipid arteriosclerosis， phosphoinositide 3-kinase/protein kinase B（PI3K/Akt） signaling pathway， mitogen-activated protein kinase（MAPK） signaling pathway， and hypoxia inducible factor-1（HIF-1） signaling pathway. Integrated lipidomics and network pharmacology analysis highlighted the central role of the arachidonic acid metabolic pathway. The Western blot results showed that ASH effectively up-regulated GSTP1， GSTM2， and PTGS1 protein expression， and down-regulated PTGS2 and PTGES protein expression. ConclusionASH can ameliorate behavioral deficits， exert antioxidant effects， regulate lipid differential metabolites and the arachidonic acid metabolic pathway， thereby exerting therapeutic effects in PD model mice.

Epilepsy is a chronic neurological disease caused by abnormal synchronous discharge of the brain, which is characterized by recurrent and transient neurological abnormalities, mainly manifested as loss of consciousness and limb convulsions, and can occur in people of all ages. At present, anti-epileptic drugs (AEDs) are still the main means of treatment, but their efficacy is limited by the problem of drug resistance, and long-term use can cause serious side effects, such as cognitive dysfunction and vital organ damage. Although surgical resection of epileptic lesions has achieved certain results in some patients, the high cost and potential risk of neurological damage limit its scope of application. Therefore, the development of safe, accurate and personalized non-invasive treatment strategies has become one of the key directions of epilepsy research. In recent years, photobiomodulation (PBM) has gained significant attention as a promising non-invasive therapeutic approach. PBM uses light of specific wavelengths to penetrate tissues and interact with photosensitive molecules within cells, thereby modulating cellular metabolic processes. Research has shown that PBM can enhance mitochondrial function, promote ATP production, improve meningeal lymphatic drainage, reduce neuroinflammation, and stimulate the growth of neurons and synapses. These biological effects suggest that PBM not only holds the potential to reduce the frequency of seizures but also to improve the metabolic state and network function of neurons, providing a novel therapeutic avenue for epilepsy treatment. Compared to traditional treatment methods, PBM is non-invasive and avoids the risks associated with surgical interventions. Its low risk of significant side effects makes it particularly suitable for patients with drug-resistant epilepsy, offering new therapeutic options for those who have not responded to conventional treatments. Furthermore, PBM’s multi-target mechanism enables it to address a variety of complex etiologies of epilepsy, demonstrating its potential in precision medicine. In contrast to therapies targeting a single pathological mechanism, PBM’s multifaceted approach makes it highly adaptable to different types of epilepsy, positioning it as a promising supplementary or alternative treatment. Although animal studies and preliminary clinical trials have shown positive outcomes with PBM, its clinical application remains in the exploratory phase. Future research should aim to elucidate the precise mechanisms of PBM, optimize light parameters, such as wavelength, dose, and frequency, and investigate potential synergistic effects with other therapeutic modalities. These efforts will be crucial for enhancing the therapeutic efficacy of PBM and ensuring its safety and consistency in clinical settings. This review summarizes the types of epilepsy, diagnostic biomarkers, the advantages of PBM, and its mechanisms and potential applications in epilepsy treatment. The unique value of PBM lies not only in its multi-target therapeutic effects but also in its adaptability to the diverse etiologies of epilepsy. The combination of PBM with traditional treatments, such as pharmacotherapy and neuroregulatory techniques, holds promise for developing a more comprehensive and multidimensional treatment strategy, ultimately alleviating the treatment burden on patients. PBM has also shown beneficial effects on neural network plasticity in various neurodegenerative diseases. The dynamic remodeling of neural networks plays a critical role in the pathogenesis and treatment of epilepsy, and PBM’s multi-target mechanism may promote brain function recovery by facilitating neural network remodeling. In this context, optimizing optical parameters remains a key area of research. By adjusting parameters such as wavelength, dose, and frequency, researchers aim to further enhance the therapeutic effects of PBM while maintaining its safety and stability. Looking forward, interdisciplinary collaboration, particularly in the fields of neuroscience, optical engineering, and clinical medicine, will drive the development of PBM technology and facilitate its transition from laboratory research to clinical application. With the advancement of portable devices, PBM is expected to provide safer and more effective treatments for epilepsy patients and make a significant contribution to personalized medicine, positioning it as a critical component of precision therapeutic strategies.

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

Twelve pre-processing protocols for formalin-fixed paraffin-embedded(FFPE)tissue samples were developed by orthogonal experimental design,incorporating different dewaxing buffers(Triton X-100 and xylene),lysis buffers(TFE and RapiGest),and enzyme digestion methods(iST,SP3,and FASP)to explore the optimal experimental conditions.These protocols were assessed based on protein and peptide identification depth,identification stability,and quantitative levels of protein abundance.The results indicated that Triton X-100 and xylene minimally impacted proteomics identification,whereas the TFE lysis buffer and iST digestion method significantly enhanced the proteomics analysis of FFPE samples.Considering the potential toxicity of xylene,the TTI protocol based on Triton X-100,TFE,and iST was determined to be the optimal choice.This protocol exhibited the best repeatability and stability,and a higher number of proteins associated with significant biological functions were identified.In conclusion,the established TTI protocol offered an efficient and comprehensive approach for proteomic analysis of FFPE samples,significantly enhancing the repeatability and stability of protein identification.

With the continuous rise in the incidence of colorectal cancer and the trend towards younger patient population,the existing treatment options,while able to prolong survival,are difficult to avoid significant side effects.It is imperative to develop new treatment strategies.Luteolin(LUT),as a natural herbal active ingredient,has been proved to have broad-spectrum anti-tumor effects in studies of multiple cancer types.However,the mechanism of LUT action in colorectal cancer has not been systematically elucidated.In this study,for the first time,the molecular mechanism of LUT on colorectal cancer SW620 cells from the perspective of proteomics-glycoproteomics co-regulation was revealed.Proteomic analysis identified 472 differentially expressed proteins.Functional enrichment analysis showed that down-regulated proteins were mainly involved in oxidative stress response,mRNA processing,RNA splicing,and actin filament organization among key biological processes,involving oxidative phosphorylation and peroxisome pathways.Up-regulated proteins were mainly involved in DNA replication,protein folding,and rRNA metabolism,closely related to DNA replication and protein processing pathways in the endoplasmic reticulum.At the level of glycoproteomics,231 differentially expressed intact N-glycopeptides were identified.Functional enrichment analysis of corresponding glycoproteins indicateed that LUT might exert biological effects by regulating biological processes such as nuclear organization,nuclear membrane organization,and Fc receptor-mediated signaling pathways,as well as endoplasmic reticulum protein processing and N-glycan biosynthesis pathways.Analysis of key interaction networks revealed 5 core target proteins namely RPS15A,WDR43,FBL,UTP18,and UTP11.The loss of these proteins had been confirmed to inhibit the proliferation and migration of various tumor cells.Notably,altered glycosylation modifications of the lysosome-associated membrane proteins LAMP1 and LAMP2 suggested that LUT might affect tumor metastatic potential by regulating organelle dynamics.It was found that LUT could inhibit the malignant phenotype of colon cancer cells through a dual mechanism of specifically regulating protein expression networks and glycosylation modification patterns,providing new molecular targets and theoretical basis for precise treatment of colorectal cancer based on natural products.

Highly sensitive multiple detection and accurate identification of gases are of great importance in the fields of public safety,environmental protection,health diagnosis and industrial production.However,the traditional means of gas detection have many shortcomings such as low sensitivity,long time-consuming,bulky equipment,cumbersome processes and expensive costs.In recent years,Raman spectroscopy has become a hotspot in the field of gas detection because of its fast,sensitive and non-destructive characteristics,and has been more and more closely combined with artificial intelligence.This paper reviews the progress of Raman spectroscopy in gas detection in recent years,including conventional Raman spectroscopy and enhanced Raman spectroscopy,and also introduces the integration of artificial intelligence algorithms in gas Raman detection technology,and discusses the future development of gas Raman detection.

Objective To explore the characteristics of blood pressure in the elderly patients with hypertensive cerebral small vessel disease(CSVD)and their correlation with traditional Chinese medicine(TCM)syndrome types.Methods A retrospective analysis was conducted in 189 elderly patients with essential hypertension.With reference to the presence or absence of CSVD,the patients were divided into CSVD group(87 cases)and non-CSVD group(102 cases).The blood pressure related parameters and clinical data obtained by four diagnostic methods of TCM in the two groups were collected,and then the characteristics of blood pressure and their correlation with TCM syndromes were analyzed with statistical methods.Results(1)CSVD group had higher values than non-CSVD group in the ambulatory blood pressure parameters of 24-hour systolic blood pressure(24hSBP),24-hour diastolic blood pressure(24hDBP),daytime systolic blood pressure(DSBP),daytime diastolic blood pressure(DDBP),nighttime systolic blood pressure(NSBP),nighttime diastolic blood pressure(NDBP),24-hour pulse pressure(24hPP),daytime pulse pressure(DPP),nighttime pulse pressure(NPP),maximum SBP,morning SBP,daytime SBP load and nighttime SBP load(P＜0.01).(2)The analysis of blood pressure variability showed that the mean value of nighttime SBP standard deviation(NSSD)in CSVD group was higher than that in the non-CSVD group(P＜0.01).(3)The analysis of circadian rhythm of blood pressure showed that there was significant difference in the comparison of circadian rhythm of ambulatory blood pressure between the two groups(P＜0.05):non-CSVD group was predominated by non-dipper type blood pressure(50 cases,49.02%)and dipper type blood pressure(31 cases,30.39%),and CSVD group was predominated by non-dipper type blood pressure(38 cases,43.68%)and super-dipper type blood pressure(31 cases,35.63%).(4)Logistic regression analysis showed that 24hSBP(OR=1.296,95%CI:1.112-1.511),maximum SBP(OR=1.074,95%CI:1.006-1.146),morning SBP(OR=1.064,95%CI:1.013-1.118),abnormal circadian rhythm of blood pressure(OR=3.736,95%CI:1.663-8.390)were the influence factors of CSVD(P＜0.05 or P＜0.01).(5)The analysis of the distribution of TCM syndrome types showed that non-CSVD group was dominated by accumulation of excess phlegm-damp syndrome(58.82%)and yin deficiency and yang hyperactivity syndrome(21.57%),and CSVD group was dominated by yin deficiency and yang hyperactivity syndrome(51.72%)and accumulation of excess phlegm-damp syndrome(21.84%).(6)The analysis of blood pressure in patients with various syndrome types showed that the DPP of patients with accumulation of excess phlegm-damp syndrome in the CSVD group was significantly higher than that in the non-CSVD group(P＜0.01),and the 24hDBP and NDBP of patients with yin deficiency and yang hyperactivity syndrome in the CSVD group were significantly higher than those in the non-CSVD group(P＜0.01).Conclusion It is indicated that 24hSBP,maximum SBP,elevated morning SBP,and abnormal blood pressure circadian rhythms may be the important risk factors for the hypertensive CSVD in the elderly.Elderly hypertensive patients with accumulation of excess phlegm-damp syndrome should pay more attention to the mean daytime pulse pressure,and elderly hypertensive patients with yin deficiency and yang hyperactivity syndrome should pay more attention to monitoring DBP.The dynamic observation and early control of the blood pressure is helpful for the prevention and treatment of CSVD in the elderly patients with hypertension.

Objective To investigate the clinical efficacy of Xuanfei Yipi Formula,a prescription derived from modified Jianpi Pill recorded in Yi Fang Ji Jie(A Collection of Prescriptions with Expositions),in treating senile sarcopenia with spleen-stomach weakness type,and to observe its effect on chronic low-grade inflammation of the patients.Methods Seventy cases of senile sarcopenia patients of spleen-stomach weakness type were randomly divided into an observation group and a control group,with 35 cases in each group.The control group was given exercise and nutritional guidance,while the observation group was treated with Xuanfei Yipi Formula orally on the basis of the control group,and the intervention time of both groups was eight weeks.The changes of traditional Chinese medicine(TCM)syndrome scores,appendicular skeletal muscle mass index(ASMI),grip strength,6-meter walking pace,and the serum levels of C-reactive protein(CRP),interleukin 6(IL-6),tumor necrosis factor α(TNF-α)in the two groups before and after treatment were observed.After treatment,the clinical efficacy and safety of the patients in the two groups were evaluated.Results(1)After eight weeks of treatment,the total effective rate in the observation group was 94.29%(33/35),and that in the control group was 77.14%(27/35),the intergroup comparison(by chi-square test)showed that the efficacy of the observation group was significantly superior to that of the control group(P＜0.05).(2)After treatment,the TCM syndrome scores in the two groups were significantly lower than those before treatment(P＜0.05),and the decrease of TCM syndrome score in the observation group was more obviously than that in the control group(P＜0.01).(3)After eight weeks of treatment,the ASMI,grip strength and 6-meter walking pace in the two groups were significantly higher than those before treatment,and the increase of ASMI and grip strength in the observation group was more obviously than that in the control group(P＜0.05).(4)After eight weeks of treatment,the levels of serum CRP,IL-6,and TNF-α in the two groups were decreased significantly compared with those before treatment(P＜0.05),and the decrease of serum CRP level in the observation group was more obviously than that in the control group(P＜0.05).(5)During the treatment,no obvious adverse reactions occurred in both groups,and the safety indexes of liver and kidney functions of the patients were all within the normal range.Conclusion Xuanfei Yipi Formula can improve the clinical symptoms of senile sarcopenia patients,and its mechanism is probably related with the regulation of chronic low-grade inflammation.

Objective To understand the incidence and characteristics of adverse drug reactions(ADRs)of carbapenems,explore the relevant risk signals,and provide a reference for clinically safe drug use.Methods All spontaneous reports of carbapenem drug-related ADRs from January 2008 to October 2022 in the Adverse Drug Reaction Monitoring Center,PLA General Hospital's ADR database were retrieved,and information such as patients'general conditions,involved systems and organs damage,and the names of ADRs involved were retrospectively analysed.Using the reporting odd ratio method,the proportional reporting ratio method,the Medicines and Healthcare Products Regulatory Agency method,and information component method to obtain risk signals of carbapenem antimicrobial drug-related ADR.Results A total of 2 642 ADR reports of carbapenems were reported,of which 410 serious ADR reports(15.52％)were serious ADR reports,five cabapenem antimirobial drug species were mainly involved.In descending order of composition were imipenem cilastatin(51.28％),meropenem(32.13％),biapenem(8.10％),ertapenem(7.68％),and panipenem(0.79％).The male to female ratio of patients was 1.74:1,with the most age＞60 years(59.69％).A total of 14"drug-ADR name"combinations generated risk signals in all four data mining methods,with meropenem being the most signals,and imipenem cilastatin and ertapenem had a high number of reported ADR in nervous system.Conclusion The results of risk signal mining are basically consistent with the known carbapenem ADR information,during the use of carbapenem antimicrobial drugs in the clinic,it is recommended to monitor patients'liver and kidney functions as well as blood biochemical indexes,so as to strengthen the awareness of vigilance in the clinical use of carbapenem antimicrobial drugs,and timely recognize and deal with ADRs in a timely manner,and to avoid the occurrence of serious ADRs.

Objective To construct a module for drug-induced central nervous system adverse reactions(CNS-ADR)within the Clinical Adverse Drug Event Active Monitoring and Intelligent Assessment Alert System-Ⅱ(ADE-ASAS-Ⅱ),and to conduct a large-scale,real-world active monitoring and evaluation of CNS-ADR specifically related to imipenem/cilastatin.Methods Based on literature review,spontaneous report evaluation,and initial word set of CNS-ADR related descriptions in electronic medical records,text recognition technology was used to construct and optimize the condition settings of the CNS-ADR automatic monitoring module.Hospitalized patients using imipenem/cilastatin were retrospectively monitored from 2017 to 2021,and the positive patients which had CNS-ADR were statistically described in terms of the demographic characteristics,CNS symptoms,and hospital departments.Results Based on a repeated testing optimization using 1 185 manually monitored results,the best setting for the determined module includes 62 sets of keywords,with a positive predictive value(PPV)of 13.63％and a recall rate of 100％.Expanding the monitoring to 8 222 medication users using this module,281 cases of positive causality were identified,with an incidence rate of 3.42％.Among them,patients over 60 years old accounted for 50.17％,and the main manifestations of CNS-ADR were epileptic seizures,headaches,mania,and delirium.Conclusion The CNS-ADR automatic monitoring module established based on ADE-ASAS-Ⅱ provides fast and reliable text data mining support for conducting real-world research on CNS-ADR.