AIM: To investigate the diagnostic and prognostic value of differential expression of Cyclin D1 and p53 in eyelid tumors.METHODS: This retrospective study enrolled patients who underwent surgical resection for eyelid tumors at our hospital between March 2018 and March 2023. Participants were categorized into benign and malignant groups based on tumor characteristics. Clinical data were collected. Genetic data for eyelid tumors were obtained from the GEO database, and differential gene analysis, including volcano plot visualization and KEGG pathway enrichment analysis, was performed using the Sangerbox 3.0 platform. Immunohistochemistry was used to detect the expression levels of Cyclin D1, p53, and BAX in tissue samples. Correlations with clinical features were analyzed using Spearman analysis, and prognostic factors were identified via Logistic regression analysis.RESULTS: This study included 69 patients with eyelid tumors(78 eyes), categorized into a benign group(37 patients, 41 eyes)and a malignant group(32 patients, 37 eyes)based on tumor characteristics. There were significant differences between the two groups in histological subtype, TNM staging, vascular invasion, differentiation status, and local infiltration(all P<0.05). Among benign tumors: pigmented nevi in 11 eyes(27%), hemangiomas in 9 eyes(22%), squamous cell papillomas in 5 eyes(12%), epidermoid cysts in 5 eyes(12%), seborrheic keratoses in 4 eyes(10%), neurofibromas in 3 eyes(7%), and both calcifying epithelioma and xanthelasma in 2 eyes each(5%); among malignant tumors: basal cell carcinoma in 18 eyes(49%), meibomian gland carcinoma in 8 eyes(22%), squamous cell carcinoma in 5 eyes(14%), sebaceous gland carcinoma in 4 eyes(11%), lymphoma and malignant melanoma each in 1 eye(3%). At the follow-up cutoff date of March 2025, the 2-year survival rate in the benign group(95%)was significantly higher than that in the malignant group(78%; P<0.05). Bioinformatics analysis identified 4 103 differentially expressed genes, including Cyclin D1, p53, and BAX, which were predominantly involved in pathways such as the p53 signaling pathway and calcium-related signaling. Spearman analysis revealed that local invasion(rs=0.71, P<0.05)and TNM stage(rs=0.73, P<0.05)correlated with Cyclin D1 expression; local invasion(rs=0.76, P<0.05)and histological subtype(rs=0.65, P<0.05)correlated with p53 expression. Logistic regression results indicated that Cyclin D1, p53, TNM staging, and local invasion were prognostic risk factors. ROC curve analysis demonstrated that the combined detection of these four indicators had the highest predictive value for prognosis(AUC=0.83).CONCLUSION: High expression of cyclin D1 and p53 serves as molecular markers for distinguishing benign from malignant eyelid tumors and assessing prognosis. Combined detection of these markers with TNM staging and local invasion demonstrates high predictive value for prognosis.

The thymus is a key organ for T-cell development and the establishment of central immune tolerance. Research on immune function changes and long-term health risks following thymectomy is characterized by significant population heterogeneity and controversial conclusions. This article systematically reviews the key immunological alterations after thymectomy - including reduced T-cell receptor (TCR) repertoire diversity, regulatory T cell (Treg) dysfunction, accelerated immune aging, and compensatory immune responses, and clarifies population differences in postoperative risks of infection, autoimmune diseases, and tumors, as well as the impact of surgical approaches. The clinical outcome after thymectomy is not solely determined by thymus loss, but rather depends on a dynamic balance between "immune deficiency risk" and "host compensatory capacity," which is modulated by multiple factors such as age at surgery, extent of resection, and individual immune status. This review proposes a "risk-compensation balance model" framework, providing an integrated theoretical basis for explaining the heterogeneity in outcomes across different populations and surgical methods. It also holds significant implications for future efforts in individualized surgical decision-making, establishment of stratified immune monitoring systems, and exploration of targeted immune intervention strategies.

ObjectiveTo investigate the mechanism of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis extract （ASH） in treating Parkinson's disease （PD） in mice by Data-Independent Acquisition （DIA） proteomics. MethodsThe α-Synuclein （α-Syn） transgenic PD mice were selected as suitable models for PD， and they were randomly assigned into PD， ASH （61.25 mg·kg^-1）， and Madopar （97.5 mg·kg^-1） groups. Male C57BL/6 mice of the same age were selected as the control group， with eight mice in each group. Mice were administrated with corresponding drugs by gavage once a day for 20 days. The pole climbing time and the number of autonomic activities were recorded to evaluate the exercise ability of mice. Hematoxylin-eosin staining was employed to observe neuronal changes in the substantia nigra of PD mice. Immunohistochemistry （IHC） was employed to measure the tyrosine hydroxylase （TH） activity in the substantia nigra and assess the areal density of α-Syn in the striatum. DIA proteomics was used to compare protein expression in the substantia nigra between groups. IHC was utilized to validate key differentially expressed proteins， including Lactotransferrin， Notch2， Ndrg2， and TMEM 166. The cell counting kit-8 （CCK-8） method was used to investigate the effect of ASH on the viability of PD cells with overexpression of α-Syn. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were employed to determine the protein and mRNA levels of Lactotransferrin， Notch2， Ndrg2， and TMEM 166 in PD cells. ResultsCompared with the control group， the model group showed prolonged pole climbing time， diminished coordination ability， reduced autonomic activities （P<0.01）， and reduced swelling neurons. Compared with the model group， ASH and Madopar reduced the climbing time， increased autonomic activities （P<0.01）， and ameliorated neuronal damage. Compared with the control group， the model group showed a decrease in TH activity in the substantia nigra and an increase in α-Syn accumulation in the striatum （P<0.01）. Compared with the model group， the ASH group showed an increase in TH activity and a reduction in α-Syn accumulation （P<0.05）. DIA proteomics revealed a total of 464 differentially expressed proteins in the model group compared with the control group， with 323 proteins being up-regulated and 141 down-regulated. A total of 262 differentially expressed proteins were screened in the ASH group compared with the model group， including 85 proteins being up-regulated and 177 down-regulated. Kyoto encylopedia of genes and genomes （KEGG） pathway analysis indicated that ASH primarily regulated the Notch signaling pathway. The model group showed up-regulation in protein levels of Notch2， Ndrg2， and TMEM 166 and down-regulation in the protein level of Lactotransferrin compared with the control group （P<0.01）. Compared with the model group， ASH down-regulated the protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.05） while up-regulating the protein level of Lactotransferrin （P<0.01）. The IHC results corroborated the proteomics findings. The cell experiment results showed that compared with the control group， the modeling up-regulated the mRNA and protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.01）， while down-regulating the mRNA and protein levels of Lactotransferrin （P<0.01）. Compared with the model group， ASH reduced the mRNA and protein levels of Notch2， Ndrg2， and TMEM 166 （P<0.01）， while increasing the mRNA and protein levels of Lactotransferrin （P<0.05， P<0.01）. ConclusionASH may Synergistically inhibit the Notch signaling pathway and mitigate neuronal damage by down-regulating the expression of Notch2 and Ndrg2. Additionally， by up-regulating the expression of Lactotransferrin and down-regulating the expression of TMEM166， ASH can address brain iron accumulation， intervene in ferroptosis， inhibit mitophagy， and mitigate reactive oxygen species damage， thereby protecting nerve cells and contributing to the treatment of PD.

Objective: To analyze the epidemilogical and seasonal characteristics of foodborne Salmonella-associated diarrhea among children aged 0-6 years in Guizhou Province from 2016 to 2023, so as to provide a basis for the prevention and control of foodborne diseases. Methods: Data were extracted from the Foodborne Disease Survellance System for cases reported between January 1, 2016, and December 31, 2023. The incidence, seasonal characteristics, and peak periods were analyzed by the method of concentration and circular distribution. Results: A total of 6 434 cases of diarrhea in children aged 0-6 years were collected, and 455 cases of Salmonella were detected, with a positive detection rate of 7.07%. Salmonella typhimurium was the main serotype causing diarrhea (59.34%). The peak of the disease was from May 3 to September 30, with certain seasonal characteristics. The highest detection rate was found in children aged 1-3 years (8.66%). Among food types, the positive detection rates of Salmonella were relatively high in other foods (17.39%), fruits and their products (10.22%), infant and toddler foods (10.09%), and aquatic animals and their products (9.80%). The processing and packaging methods of food were mainly home-made (9.38%) and bulk food (7.54%). Conclusions The detection rate of Salmonella in children aged 0-6 years is high in Guizhou Province, with strong seasonal characteristics. The detection rates of other foods, fruits and their products, infant and toddler foods, and aquatic animals and their products are high. Enhanced pathogen surveillance for susceptible populations and high-risk foods, coupled with public health education during summer/autumn, is recommended.

The Baihe Dihuang Decoction(BDD) is a representative traditional Chinese medicine formula that has been used to treat depression. This study employed metabolomics and network pharmacology to investigate the mechanism of BDD in the treatment of depression. Fifty male Sprague-Dawley(SD) rats were randomly assigned to the normal control group, model group, fluoxetine group, and high-and low-dose BDD groups. A rat model of depression was established through chronic unpredictable mild stress(CUMS), and the behavioral changes were detected by forced swimming test and open field test. Metabolomics technology was used to analyze the metabolic profiles of serum and hippocampal tissue to screen differential metabolites and related metabolic pathways. Additionally, network pharmacology and molecular docking techniques were used to investigate the key targets and core active ingredients of BDD in improving metabolic abnormalities of depression. A "component-target-metabolite-pathway" regulatory network was constructed. BDD could significantly improve depressive-like behavior in CUMS rats and regulate 12 differential metabolites in serum and 27 differential metabolites in the hippocampus, involving tryptophan metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, alanine, aspartate, and glutamate metabolism, tyrosine metabolism, and purine metabolism. Verbascoside, isorbascoside, and regaloside B were the key active ingredients for improving metabolic abnormalities in depression. Epidermal growth factor receptor(EGFR), protooncogene tyrosine-protein kinase(SRC), glycogen synthase kinase 3β(GSK3β), and androgen receptor(AR) were the key core targets for improving metabolic abnormalities of depression. This study offered a preliminary insight into the mechanism of BDD in alleviating metabolic abnormalities of depression through network regulation, providing valuable guidance for its clinical use and subsequent research.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rats, Sprague-Dawley ; Rats ; Metabolomics ; Depression/genetics* ; Antidepressive Agents/chemistry* ; Network Pharmacology ; Hippocampus/drug effects* ; Humans ; Molecular Docking Simulation ; Behavior, Animal/drug effects* ; Disease Models, Animal