Mitochondrial biogenesis represents a promising therapeutic target in triple-negative breast cancer (TNBC) due to its essential role in cancer cell metabolism and survival. The natural compound γ-Elemene exhibits potent anti-tumor activity, but its effects on mitochondrial regulation in TNBC remain unclear. In this study, we demonstrate that γ-Elemene induces dose-dependent cytotoxicity in MDA-MB-468 and HCC1806 TNBC cells while significantly impairing mitochondrial function, as shown by reduced membrane potential, oxidative phosphorylation capacity, and ATP production. γ-Elemene treatment markedly suppressed mitochondrial biogenesis, decreasing mitochondrial DNA content and downregulating key mitochondrial genes and proteins. These effects were associated with reduced expression of the master regulators NRF1 and TFAM, but independent of PGC-1α expression levels.Mechanistically, γ-Elemene upregulated the acetyltransferase GCN5, leading to enhanced PGC-1α acetylation. This upregulation occurs primarily through increased GCN5 transcription. Genetic ablation of GCN5 completely reversed γ-Elemene-induced PGC-1α acetylation and restored mitochondrial biogenesis and cell viability, establishing a critical role for GCN5 in mediating these effects. Our findings reveal a novel mechanism whereby γ-Elemene disrupts mitochondrial function in TNBC through GCN5-mediated PGC-1α acetylation, providing new insights into its anti-cancer properties and potential therapeutic applications against TNBC.

Objective: To systematically evaluate the application effectiveness of the full disinfection process in blood stations, identify key optimization links, and provide a scientific evidence for the formulation of specialized disinfection and hygiene standards for blood collection and supply institutions. Methods: On-site microbiological monitoring was conducted using techniques such as the plate settling method and cotton swab method. Stratified random sampling was performed on eight key control points: including evironmental air, hand hygiene, skin disinfection, blood transport boxes, pressure steam sterilization, sewage treatment, ultraviolet disinfection, and sterile swabs. Statistical analysis was performed using SPSS 20.0. Measurement data were expressed as mean ± standard deviation(x-±s), and inter-group comparisons were conducted using t-tests or analysis of variance (ANOVA). Count data were expressed as rates, and inter-group comparisons were conducted using the χ test. Trend analysis was performed using the Cochran-Armitage test, with a significance level of α=0.05. Results: The colony removal rate of plasma air disinfection machines (94.2%±0.8%) was significantly higher than that of the ultraviolet group (P<0.05). The qualification rate of quick-drying disinfectant hand was 100% within 30 days after opening the bottle, but decreased to 93.3% after 40 days (P<0.01). The qualification rate of disinfection for blood transport boxes using 500 mg/L chlorine-containing disinfectant (100%) was significant higher 75% alcohol (60%, P< 0.05). Skin disinfection with 2% alcoholic chlorhexidine gluconate balanced effectiveness and user experience (satisfaction score 4.8±0.3). The qualification rates for core procedures such as pressure steam sterilization and sewage treatment were both 100%. Conclusion: The current disinfection procedures in blood collection and supply institutions are reliable. The effective usage period of hand disinfectants, disinfection methods for transport boxes, and usage duration of sterile swabs are the main points for optimization. It is recommended that the opened hand disinfectants be used for ≤30 days and that chlorine-containing disinfectants be prioritized for wiping transport boxes, providing empirical support for the revision of protocols and the formulation of standards.

Wound repair and infection have long posed significant challenges in clinical medicine.Am-phibians,adapting to complex environments through long-term natural selection,have evolved skin sys-tems with remarkable abilities to resist external damage and promote rapid wound healing,making them an important source for discovering candidate molecules for wound healing.In this study,a novel peptide composed of 22 amino acids,with the sequence"VGKAGLETAACKATNSCFNIDW"and a molecular weight of 2299.6 D,was screened from the cDNA library of Odorrana tormota and named PN-VW22.The peptide was synthesized by solid-phase synthesis,and its effects on cell proliferation were evaluated using the CCK-8 assay and scratch wound healing assay in human keratinocytes(HaCaT)and mouse em-bryonic fibroblasts(NIH3T3).Antibacterial activity was assessed by determining the minimum inhibitory concentration(MIC).Results showed that PN-VW22 at various concentrations had no significant effect on the cell viability in NIH3T3 cells(P＞0.05),but significantly enhanced HaCaT cell viability at 0.5μmol/L(P＜0.001).Meanwhile,PN-VW22 induced cell proliferation and promoted wound healing in HaCaT cells,with a healing rate of 64.44％after 24 h incubation at 0.5 μmol/L.Furthermore,PN-VW22 exhibited antibacterial activity against Staphylococcus aureus with an MIC value of 13.92 μmol/L.In sum,this study identified PN-VW22 as a novel bifunctional peptide with both wound repair and anti-infective properties,providing a new toxin peptide template for the development of wound healing drugs.

Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.

[Purpose]To analyze the trends in incidence,mortality and potential life loss of esophageal cancer in Linzhou City of Henan Province from 2010 to 2019.[Methods]The data of esophageal cancer incidence and mortality from 2010 to 2019 were collected from Linzhou cancer registries.The crude incidence and mortality rates,age-standardized rates(ASR)by sex and age group,the potential years of life lost(PYLL),average potential years of life lost(APYLL),and potential years of life lost rate(PYLLR)were calculated.The average annual percentage change(AAPC)from 2010 to 2019 were analyzed with Joinpoint software.[Results]From 2010 to 2019,there were a total of 8 447 newly diagnosed cases and 6 475 deaths of esophageal cancer in Linzhou.The ASR incidence and ASR mortality of esophageal cancer in the total population,males,females all showed significant downward trends,with AAPCs of-3.97％,-4.35％,-3.29％and-3.78％,-2.68％,-4.95％,respectively(all P＜0.05).The crude incidence and mortality rates in all age groups also showed significant downward trends.The AAPCs of incidence rate for the age groups of 0～49,50～59,60～69,and ≥70 years old were-9.92％,-8.27％,-1.41％,and-3.86％,respectively(all P＜0.05),and the AAPCs of mortality rate were-950％,-12.36％,-2.61％,and-2.98％,respectively(all P＜0.05).From 2010 to 2019,the total PYLL caused by esophageal cancer was 60 880 person years,APYLL was 13.73 person years,and PYLLR was 5.77‰.The PYLL,APYLL,and the PYLLR of the total population and those stratified by sex all showed a decreasing trend(all P＜0.05).[Con-clusion]From 2010 to 2019,the incidence,mortality and potential life loss of esophageal cancer in Linzhou City all decreased,and the long-term effect and screening programs is significant.How-ever,the risk of esophageal cancer among men and the elderly is still relatively high,indicating that more targeted prevention and control strategies should be developed.

[Purpose]To analyze the trends of incidence and mortality of malignant tumors in Linzhou City of Henan Province from 2010 to 2019.[Methods]The incidence and mortality data of malignant tumors of Linzhou cancer registration areas from 2010 to 2019 were collected and evaluated for data quality.The crude incidence/mortality rates and age-standardized incidence/mortality rates by Chinese standard population(ASIRC/ASMRC)were calculated by sex,age and can-cer type.Joinpoint software was used to calculate the average annual percentage change(AAPC)to analyze the trends from 2010 to 2019.[Results]From 2010 to 2019,the crude incidence of malig-nant tumors in Linzhou City showed an upward trend,with an AAPC of 2.09％(95％CI:0.58％～3.63％),while the ASIRC tended to be stable.The incidence of malignant tumors showed a signifi-cant upward trend in the 15～29 and 60～69 age groups,and a significant downward trend in the 70～79 age group.From 2010 to 2019,the ASIRC of esophageal cancer and stomach cancer in both men and women showed a significant downward trend,while that of lung cancer and prostate cancer increased in men,and the incidences of thyroid cancer,uterus cancer,cervical cancer,lung cancer and breast cancer increased significantly in women.From 2010 to 2019,the crude mortality of malignant tumors in Linzhou showed a significant upward trend,with an AAPC of 1.18％(95％CI:0.88％～1.48％),while ASMRC showed a significant downward trend,with an AAPC of-1.63％(95％CI:-1.86％～-1.40％).The mortality increased in the group aged 80 and above,while the other age groups remained in a downward or stable state.From 2010 to 2019,the ASMRC of stomach cancer and esophageal cancer in both men and women showed a down-ward trend,while those of prostate cancer,and malignant tumors of the lip,oral cavity and pha-ryngeal in men increased,and that of ovarian cancer in women increased significantly.[Conclu-sion]The disease burden of malignant tumors in Linzhou City is still heavy.The incidence of common cancer types such as thyroid cancer,prostate cancer and lung cancer shows a significant-ly increasing trends from 2010 to 2019.

Objective To explore the correlation between serum hypoxia-inducible factor-1α(HIF-1α)levels and cerebral microbleeds(CMBs)and cognitive impairment and to assess the predictive value of HIF-1α for CSVD-related cognitive impairment.Methods A total of 104 patients with CSVD who attended the Department of Neurology,First Affiliated Hospital of Xinxiang Medical University from June 2022 to November 2023 were enrolled.All enrolled patients were subjected to basic statistics,cranial nuclear magnetic resonance examination,cognitive function assessment,and serum HIF-1α test,and the number and location of CMBs were counted.Based on the above data the enrolled patients were grouped.The correlation between HIF-1α and cognitive function and CMBs was studied the influencing factors of CMBs and cognitive impairment were analyzed,and the predictive value of HIF-1α on the occurrence of cognitive impairment was evaluated.Results There were statistically significant differences in HIF-1α levels and cognitive function among different CMBs groups.Serum HIF-1α levels were significantly negatively correlated with overall cognitive function,visuospatial and executive function,attention,and delayed recall,and serum HIF-1α was positively correlated with the number of CMBs.HIF-1α may be a risk factor for CMBs and cognitive impairment associated with CSVD,and serum HIF-1α has potential in predict the cognitive impairment caused by CSVD.Conclusion Serum levels of HIF-1α were associated with the number of CMB and CSVD-related cognitive impairment,and serum levels of HIF-1α may have a predictive value for CSVD-related cognitive impairment.

Objective To design a search and rescue simulation training system to enhance medical command,search and rescue capabilities of the PLA air force.Method A search and rescue simulation training sysgtem was designed based on the war gaming theory and developed with C/S architecture,C++language and MongoDB database for data storage,which was composed of four subsystems for scenario setting,action coordination and commanding operation simulation.The scenario setting subsystem included 3 modules of map editing setting,scenario editing and organization preparation;the action coordination subsystem had 5 modules of deduction process control,deduction coordination intervention,deduction status monitoring,perspective control and addition of deduction conditions;the commanding operation subsystem involved in 3 modules of command and control,real-time information query and operation command;the operation simulation subsy-stem consisted of 3 modules of agent search,rescue and treatment simulation,operation ruling and operation intelligence management.Results The system developed facilitated search,rescue and commanding training-related teaching and search and rescue program rehearsal verification,and thus comprehensively enhanced the trainee's capabilities in search,rescue,commanding and decision making.Conclusion The system developed integrates effectively medical commanding with operational commanding during search and rescue,providing a novel means for air force search and rescue operations and medical service simulation training.[Chinese Medical Equipment Journal,2025,46(4):15-20]

Objective Network pharmacology and molecular docking techniques were used to predict the potential mechanisms by which the active components of Piper nigrum(PN)regulate depressive-like behaviors in chronic restraint stress(CRS)mice.Methods The major chemical components and targets of PN were screened using the Traditional Chinese Medicine Systems Pharmacology database.Targets related to ferroptosis and depression were obtained from the Online Mendelian Inheritance in Man,GeneCards,and FerrDB databases.The intersecting targets were then subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Gnomes(KEGG)pathway enrichment analyses,and molecular docking was performed to validate the binding capacities between the core targets and their corresponding active components.Finally,we established a CRS mouse model.Mice were treated with PN 75,150,and 300 mg/kg for 4 weeks,followed by behavioral assessments and reverse transcription-quantitative polymerase chain reaction(RT-qPCR)to verify the expression of core genes.Results Nine active components were screened from PN,corresponding to 27 targets,and 8377 targets related to depression and 547 targets associated with ferroptosis were screened from the databases.The intersection of these three sets resulted in 25 target genes.KEGG enrichment analysis revealed that these core targets were predominantly enriched in signaling pathways,including cholinergic synapses,serotonergic synapses,and neuroactive ligand-receptor interactions.Molecular docking result showed that the main active components of PN had strong binding affinities for the targets CHRM2,SLC6A4,PTGS2,and SLC6A2.Behavioral assessments demonstrated that PN significantly increased the sucrose preference index(P＜0.01,P＜0.001),reduced immobility time in the tail suspension and forced swimming tests(P＜0.01,P＜0.001),and enhanced exploratory behavior in the open field test(P＜0.05.P＜0.01,P＜0.001).PN significantly reduced the serum levels of inflammation markers(P＜0.05.P＜0.01,P＜0.001),as shown by enzyme-linked immunosorbent assay,and neurotransmitter analysis revealed that PN significantly increased the levels of serotonin and acetylcholine in the mouse hippocampus(P＜0.05).RT-qPCR showed that PN demonstrated the mRNA expression of SLC6A4(P＜0.05.P＜0.01,P＜0.001).Conclusions PN may improve depressive-like behavior in mice by modulating serotonin and acetylcholine levels,inhibiting inflammatory responses,participating in immune regulation,and exerting neuroprotective effects.

Objective:To summarize the applications of machine learning (ML) in sarcopenia research through bibliometric analysis.Methods:Literature on ML applications in sarcopenia research was retrieved on the Web of Science database from its inception to December 2024, along with quality assessment. The CiteSpace software was used to conduct bibliometric analysis of the included literature in terms of publication volume, journals, countries, institutions, authors, co-citations, and keywords.Results:A total of 753 articles were obtained, with 480 being of high quality. There was an overall upward trend in the publication volume from 1999 to 2024. The United States led in total publications (119), with China ranking second (97). At the institutional level, Harvard Medical School led globally (14 publications). Kyung Won Kim had the highest publication count (10), and Alfonso J. Cruz-Jentoft was the most cited author (173 citations). His 2019 paper in Age and Ageing achieved the highest co-citation count. J Cachexia Sarcopenia (with a citation frequency of 208) and Age and Ageing (with a centrality of 0.22) were journals with high impacts in this field. "Body composition" (78 occurrences) was the most frequently occurring keyword apart from the search terms, followed by "computed tomography" (54 occurrences) and "mortality" (47 occurrences). The keyword clustering labels include "prognostic value" (first) and "sarcopenia prediction" (second). Conclusions:Current research hotspots involve applying ML to the diagnosis, risk stratification, prognostic prediction, and health management of sarcopenia. Future trends will focus on its deep integration into comprehensive sarcopenia management and on innovating multimodal data-driven algorithms to improve performance and validation.