Parkinson’s disease (PD) is a common neurodegenerative disorder with profound impact on patients’ quality of life and long-term health, and early detection and intervention are particularly critical. In recent years, the search for precise and reliable biomarkers has become one of the key strategies to effectively address the clinical challenges of PD. In this paper, we systematically evaluated potential biomarkers, including proteins, metabolites, epigenetic markers, and exosomes, in the peripheral blood of PD patients. Protein markers are one of the main directions of biomarker research in PD. In particular, α‑synuclein and its phosphorylated form play a key role in the pathological process of PD. It has been shown that aggregation of α-synuclein may be associated with pathologic protein deposition in PD and may be a potential marker for early diagnosis of PD. In terms of metabolites, uric acid, as a metabolite, plays an important role in oxidative stress and neuroprotection in PD. It has been found that changes in uric acid levels may be associated with the onset and progression of PD, showing its potential as an early diagnostic marker. Epigenetic markers, such as DNA methylation modifications and miRNAs, have also attracted much attention in Parkinson’s disease research. Changes in these markers may affect the expression of PD-related genes and have an important impact on the onset and progression of the disease, providing new research perspectives for the early diagnosis of PD. In addition, exosomes, as a potential biomarker carrier for PD, are able to carry a variety of biomolecules involved in intercellular communication and pathological regulation. Studies have shown that exosomes may play an important role in the pathogenesis of PD, and their detection in blood may provide a new breakthrough for early diagnosis. It has been shown that exosomes may play an important role in the pathogenesis of PD, and their detection in blood may provide new breakthroughs in early diagnosis. In summary, through in-depth evaluation of biomarkers in the peripheral blood of PD patients, this paper demonstrates the important potential of these markers in the early diagnosis of PD and in the study of pathological mechanisms. Future studies will continue to explore the clinical application value of these biomarkers to promote the early detection of PD and individualized treatment strategies.

AIM To optimize the extraction process for total polyphenols from Conioselinum vaginatu(Spreng.)Thell.,make component analysis,and evaluate their anti-oxidant,hypoglycemic activities.METHODS The effects of ultrasound,enzymatic hydrolysis,acid hydrolysis,alcohol extraction and hydrolysis processes on the extraction quantity of total polyphenols were investigated,respectively.With extraction temperature,extraction time,ethanol concetration and liquid-solid ratio as influencing factors,extraction quantity of total polyphenols as an evaluation index,the extraction process was optimized by response surface method.HPLC was adopted in the identification of polyphenolic composition and determination of their contents.Subsequently,total polyphenols' scavenging capacities on DPPH,ABTS,OH free radicals,total reducing power and inhibitory capacity on α-glucosidase were determined.RESULTS The highest extraction quantity of total polyphenols was observable when extraction process was employed.The optimal conditions were determined to be 62 ℃ for extraction temperature,54 min for extraction time,69％for ethanol concentration,and 50∶1 for liquid-solid ratio,the extraction quantity of total polyphenols was(9.51±0.2)mg GAE/g.Seven constituents existed in C.vaginatu,among which ferulic acid demonstrated the highest content,followed by that of myricetin,while D-tryptophan content was the lowest.At the concentration of 7.61 mg/L,total polyphenols displayed the scavenging rates on DPPH,ABTS,OH free radicals of 80.70％,85.97％,28.60％,total reducing power of 0.22,and inhibition rate on α-glucosidase of 77.23％,respectively.CONCLUSION This stable and reliable method can be used for the extraction of total polyphenols from C.vaginatum with strong anti-oxidant,hypoglycemic activities.

Objective To observe the effects of Dihong Prescription on glomerular mesangial cells of mice cultured with high glucose;To explore its mechanism in the treatment of diabetic nephropathy.Methods The TargetScan database was used to predict the miRNA regulating bispecific phosphatase 1(DUSP1),and the double luciferase was used to verify the targeting relationship between miR-133b and DUSP1.The glomerular mesangial cells of mice were cultured in vitro and divided into control group,high glucose group and Dihong Prescription low-,medium-and high-dosage groups,and was given corresponding intervention.CCK-8 was used to detect cell viability,TUNEL staining was used to observe the apoptosis of cells,flow cytometry was used to determine the expression of reactive oxygen species(ROS),Western blot was used to detect the protein expressions of phosphorylated extracellular regulatory protein kinase 1/2(p-ERK1/2),ERK1/2,phosphorylated c-Jun amino-terminal kinase(p-JNK),JNK,p-p38,p38,mitochondrial dynamoculture-associated protein 1(Drp1)and mitochondrial fission protein 1(Fis1),transmission electron microscopy was used to observe the ultrastructure of mitochondria.Results The double luciferase demonstrated that miR-133b could target the regulation of DUSP1.Compared with the control group,the cell viability significantly decreased in the high glucose group(P<0.01),the apoptosis rate significantly increased(P<0.01),the content of ROS significantly increased(P<0.01),and the protein expressions of p-ERK1/2/ERK1/2,p-p38/p38,p-JNK/JNK,Drp1 and Fis1 significantly increased(P<0.01).Compared with the high glucose group,the cell viability significantly increased in Dihong Prescription medium-and high-dosage groups(P<0.01),the apoptosis rate significantly decreased(P<0.01),the content of ROS significantly decreased(P<0.01),and the protein expressions of p-ERK1/2/ERK1/2,p-p38/p38,p-JNK/JNK,Drp1 and Fis1 significantly decreased(P<0.01).Transmission electron microscopy showed that large number of autophagosomes,autophagosomes,mitochondria vacuolation and cristae fusion were observed in the high glucose group;the mitochondrial damage caused by high glucose was alleviated in Dihong Prescription low-,medium-and high-dosage groups.Conclusion Dihong Prescription can improve oxidative stress injury in glomerular mesangial cells of mice cultured with high glucose,and its mechanism may be related to the regulation of mitochondrial function and miR-133b/DUSP1/MAPK pathway.

Grade 3 neuroendocrine tumors(G3 NET)are a rare tumor subtype recently defined by WHO.They are distinct from poorly dif-ferentiated neuroendocrine carcinomas(NEC)in histopathological features,therapeutic approach,and prognosis.Due to their low incidence and the scarcity of related studies,standardized diagnostic and treatment guidelines remain incomplete.This review summarizes current evidence on rectal G3 NETs,including clinicopathological characteristics,imaging assessment methods,and major therapeutic approaches,with particular focus on management strategies for both localized and advanced disease.The aim is to provide a reference and to promote the refinement and optimization of management approaches for this uncommon tumor type.

Objective To evaluate the effectiveness of different non-pharmacological interventions in relieving post-transcatheter arterial chemoembolization(post-TACE)pain in patients with liver neoplasm.Methods A computerized retrieval of randomized controlled trials(RCT)concerning the non-pharmacological interventions for relieving post-TACE pain in patients with liver neoplasm from the Chinese and English databases of CNKI,VIP,Wanfang,CBM,PubMed,Embase,Web of Science,the Cochrane Library,etc.was conducted.The retrieval time period was from the establishment of the database to May,2024.Review Manager 5.4 software was used to make meta-analysis.Two investigators independently screened the literature,extracted the data and evaluated the quality of the included literature using the RCT risk of bias assessment tool recommended by the Cochrane Handbook for Systematic Evaluation 5.1.0,and RevMan 5.3 software and Stata 17 software were used to perform traditional and network meta-analysis respectively.Results A total of 29 studies,including 2 866 patients and involving 10 non-pharmacologic intervention measures,were included in this analysis.The results of network meta-analysis showed that acupressure combined with music therapy was the most effective method for relieving post-TACE pain in patients with liver neoplasm.According to the area under the cumulative ranked probability map,the order of the effects of various intervention measures from best to poor was as follows:acupressure plus music therapy(88.9％),exercise rehabilitation therapy(76.8％),acupressure(76.0％),abdominal breathing training(66.4％),music therapy(54.5％),psychological relaxation therapy(47.9％),ear acupoint pressure bean(45.3％),systematic health education(35.2％),wrist and ankle needle therapy(25.7％),ear acupoint pressure bean plus acupressure(25.6％),and conventional nursing care(7.4％).Conclusion A variety of non-pharmacological intervention measures can effectively relieve post-TACE pain in patients with liver neoplasm,and acupressure plus music therapy is the best way for relieving pain.Due to the limitation of the quality and quantity of the collected literature,more high-quality,multicenter,large-sample studies need to be conducted before the pain-relief effect of non-pharmacological intervention measures can be further verified.

Objective:This study aims to investigate the expression of uridine diphosphate-glucose[]pyrophos-phorylase 2(UGP2)in breast cancer(BC)tissues and its oncogenic mechanism,assessing its potential value as a diag-nostic and prognostic biomarker for breast cancer.Methods:(1)Online database analysis was conducted to assess UGP2 mRNA and protein expression levels in breast cancer and explore their correlation with clinical characteristics.Im-munohistochemistry(IHC)was used to verify UGP2 expression in human breast cancer tumor tissues and evaluate its relationship with clinicopathological features.(2)Kaplan-Meier survival analysis and COX regression models were used to analyze the impact of UGP2 expression on breast cancer patient prognosis.(3)Bioinformatics methods were em-ployed to investigate the correlation between UGP2 and tumor immune cell infiltration,and to predict the biological func-tions and associated signaling pathways of UGP2 in breast cancer.Results:(1)The mRNA and protein expression levels of UGP2 were upregulated in breast cancer tissues(both P<0.05),and were negatively correlated with ER-positive and PR-positive status(OR<1,P<0.05),while positively correlated with Ki-67 levels and the triple-negative breast cancer(TNBC)subtype(OR>1,P<0.05).(2)Elevated expression levels of UGP2 were associated with poorer survival rates in breast cancer patients(both P<0.05)and were identified as an independent adverse prognostic factor for breast cancer(HR=1.40,P<0.05).(3)Functional analysis results suggested that UGP2 may promote tumor progression by regulating metabolism,hormone signaling,and the immune microenvironment.Additionally,UGP2 expression was negatively cor-related with NK cell activation status and positively correlated with the inhibitory state.Conclusion:UGP2 expression is elevated in breast cancer tissues and is closely associated with poor patient prognosis.It may promote cancer pro-gression through mechanisms such as metabolic reprogramming and immune suppression.UGP2 shows promise as a potential biomarker and therapeutic target in breast cancer,providing a basis for personalized treatment.

Aim Mouse model of myocardial hypertro-phy was established via intraperitoneal injection of iso-proterenol(ISO)in mice.This approach allows for an in-depth investigation into the pharmacological effects and mechanisms of action of emodin,offering novel in-sights and directions for the improvement of myocardial hypertrophy.Methods The mice were randomly di-vided into the following groups:control group(CON),emodin group(EMO),MAPK activator control group(EMO+Ani),model group(ISO),treatment group(ISO+EMO),and activator intervention group(ISO+EMO+Ani).After treatment with emodin and inter-vention with MAPK activator,the heart weight ratio and cardiac size of each group were observed.Hematoxy-lin-eosin(HE)staining was used to observe the patho-logical changes in cardiac tissue,and kits were utilized to measure the levels of GSH,LDH,and MDA in the serum.Western blot was employed to detect the protein expression levels of inflammatory and oxidative factors,as well as p-p38,p-ERK,p38,and ERK in cardiac tis-sue.Results Emodin can significantly inhibit the production of myocardial inflammatory and oxidative factors induced by ISO,thereby effectively alleviating the degree of myocardial hypertrophy and fibrosis.Af-ter the p38/ERK signaling pathway was specifically ac-tivated by farnesol,the improvement effect of emodin on myocardial hypertrophy was weakened.Further comparison revealed that,compared with the myocardi-al hypertrophy pathological model group,the pathologi-cal protein expression levels in the farnesol-treated group showed no significant difference,and were even higher in some indicators.Conclusion Emodin can effectively inhibit the release of inflammatory factors and improve the state of oxidative stress by modulating the p38/ERK signaling pathway,thereby exerting an ameliorative effect on myocardial hypertrophy.

Ulcerative colitis(UC)is a chronic inflammatory dis-ease of the colon and rectum with an unclear etiology.Early di-agnosis and effective treatment of UC are still urgent challenges that need to be addressed in clinical practice.More and more studies have found that galectin-3 is involved in the occurrence and development of UC,which may become a biomarker for the diagnosis and treatment of UC.Galectin-3,widely expressed in colonic epithelial cells and immune cells,can regulate intestinal immunity and play an important role in the occurrence and de-velopment of inflammation.This article provides a brief intro-duction to the structure and function of galectin-3,and summari-zes and discusses the expression changes and roles of galectin-3 in UC.At present,most literature reports believe that galectin-3 plays a pro-inflammatory role in UC,but there are still some re-ports that hold the opposite view.This article analyzes the rea-sons for this controversy and provides a reference for further de-termining whether galectin-3 may become a diagnostic indicator and therapeutic target for UC.

Aim To explore the effect of astragalosideⅣ(AS-Ⅳ)on lipopolysaccharide(LPS)-induced po-larization and migration of RAW 264.7 macrophages and the underlying mechanism.Methods 1 mg·L-1 LPS was used to construct cell migration model.Scratch assay was utilized to determine cell migration rate.Immunofluorescence staining was utilized to de-tect the expression and location of F4/80,iNOS and Arg-1.CCK-8 assay was used to determine the viabili-ty of RAW 264.7 cells.Griess assay was used to measure NO content.Molecular docking was used to analyze the interaction between AS-Ⅳ and the core tar-gets such as cGAS and STING protein.Western blot was employed to detect the expression of iNOS,Arg-1,cGAS,STING,NF-κB p65 and p-NF-κB p65 protein.Results AS-Ⅳ significantly inhibited the migration and M1 polarization of RAW 264.7 cells induced by LPS.Moreover,AS-Ⅳ could interact with cGAS and STING protein,especially cGAS.Further Western blot assay showed that AS-Ⅳ significantly downregulated the expression of iNOS,cGAS,STING and p-NF-κB p65 protein.Conclusions AS-Ⅳ could promote mac-rophage M1 to M2 polarization,thereby inhibited mac-rophage migration through restraining the cGAS/STING/NF-κB signaling pathway,which provides a new therapeutic target for AS-Ⅳ to improve the early inflammatory response of AS.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]