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.

The functional realization of proteins and other biological macromolecules depends on conformational dynamics and allosteric regulation, and elucidating their molecular mechanisms is an important foundation for understanding life processes. Molecular dynamics simulations are a powerful tool for investigating conformational evolution at the atomic level. However, traditional methods are limited by simulation timescales and high free-energy barriers, making it difficult to effectively capture rare conformations and their transition pathways. As a result, the development of enhanced sampling techniques has become key to overcoming this bottleneck. As a classical enhanced sampling technique, metadynamics suffers from several shortcomings, including strong dependence on collective variables and significant errors caused by bias potential accumulation. This article reviews three major improvement strategies. The first combines stochastic resetting with metadynamics, using trajectory-resetting mechanisms to improve sampling efficiency while avoiding the difficulty of optimizing collective variables. The second, SinkMeta, employs a “sinking” bias effect to enable efficient exploration of specific regions and paths. The third, OPES-based hybrid methods, improve the stability of free-energy estimation by optimizing the target distribution or the way the bias is constructed. These methods provide new ideas for characterizing free-energy landscapes and studying conformational transitions in complex biological systems, while also promoting the continued development of enhanced sampling methodologies.

With the rapid advancement of medical technology and the increasing complexity of clinical environments, competence in clinical ethical decision-making has become an indispensable core competency for exemplary physicians. However, traditional medical ethics education has long been confronted with the persistent challenges of theory-practice dissociation and the disconnect between pedagogical settings and clinical realities. Thus, how to construct a "Clinical Ethics" curriculum that aligns with the objectives of training high-caliber medical professionals has emerged as a critical and challenging issue in current medical education reform. To effectively address this challenge, the Office of Education at Peking University Third Hospital, since 2021, has assembled a multidisciplinary "Clinical Ethics" teaching and management team comprising faculty from Peking University School of Humanities and key clinical specialists from the hospital. In 2022, the "Clinical Ethics" elective course was formally launched for fourth-year students in the eight-year MD program who had completed coursework in "Medical Ethics" and organ-system-based curricula, with the aim of exploring and operationalizing a pre-clinical ethics education model tailored for senior medical students. The course employs a modular instructional design encompassing "theoretical review-case-based deliberation-clinical workshop", which effectively facilitates the deep integration of medical humanities with clinical practice.Following four years of iterative refinement through the "plan-act-observe-reflect" cycle, the course has demonstrated positive outcomes in enhancing students' ethical awareness and decision-making capabilities, and has preliminarily established a sustainable collaborative mechanism among the multidisciplinary faculty team. This article systematically delineates the course development background, pedagogical model and methodological innovations, and the multidisciplinary collaborative framework, alongside reflections and summaries based on implementation outcomes, with the intent of providing references for the future development of "Clinical Ethics" curricula.

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

Objective To investigate the correlations of expression levels of serum transforming growth factor-β1(TGF-β1)and insulin-like growth factor-1(IGF-1)with clinicopathological features of patients with adenomyosis,and the clinical value of their prediction of postoperative recurrence.Methods Eighty-two patients with adenomyosis were selected as study subjects(study group).Patients were followed up for two years after surgery and divided into recurrence group(n=15)and non-recur-rence group(n=67)based on their postoperative status.An additional 85 healthy individuals who un-derwent physical examinations during the same period were selected as control group.Serum TGF-β1 and IGF-1 levels were compared between the study group and the control group.The correlations of se-rum TGF-β1 and IGF-1 levels with the clinicopathological characteristics of adenomyosis patients was analyzed.Serum TGF-β1 and IGF-1 levels were compared between the recurrence and non-recurrence groups.Receiver operating characteristic(ROC)curve analysis was used to evaluate the diagnostic efficacy of serum TGF-β1 and IGF-1 levels in predicting postoperative recurrence in adenomyosis pa-tients.Results Serum TGF-β1 and IGF-1 levels in the study group were significantly higher than those in the control group(P＜0.05).Serum TGF-β1 levels were correlated with menstrual vol-ume,history of curettage,uterine volume,pathological type,lesion volume,endometrial status and ectopic gland cycle(P＜0.05).Serum IGF-1 levels were correlated with menstrual volume,history of curettage,uterine volume,pathological type,endometrial status and ectopic gland cycle(P＜0.05).Postoperative serum TGF-β1 and IGF-1 levels in the recurrence group were significantly higher than those in the non-recurrence group(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)for predicting postoperative recurrence using serum TGF-β1,IGF-1 and their combination were 0.823,0.803 and 0.940,respectively.The clinical efficacy of TGF-β1 and IGF-1 in combination in predicting postoperative recurrence was superior to that of TGF-β1 alone(ZcombinedwithTGF-β1=2.001,ZcombinedwithIGF-1=2.318,P=0.045,0.021).Conclusion The serum levels of TGF-β1 and IGF-1 in patients with adenomyosis are significantly increased,which are closely related to the clinicopathological features of the patients.The combination of serum TGF-β1 and IGF-1 levels has high clinical efficacy in predicting postoperative recurrence.

AIM:To investigate the mechanism of action of Tamarix chinensis Lour.on streptozotocin-induced type 2 diabetes mellitus(T2DM)through network pharmacology,molecular docking and ex-perimental validation.METHODS:Using the TCSMP database and Swiss Target Prediction tools screen the active components and predict potential tar-gets in Tamarix chinensis Lour..Retrieving potential disease targets associated with T2DM from data-bases such as GeneCards,OMIM,and DisGeNET.The intersection targets of Tamarix chinensis Lour.and T2DM disease was obtained through Venny platform.The STRING database was used to con-structed PPI network,and Cytoscape 3.8.0 soft-ware was use to visualized.GO function enrich-ment and KEGG pathway enrichment analysis were performed through the Metascape database.Dock-ing of important target proteins and compounds was carried out by AutoDock software.SPF grade male rats were randomly divided into normal group,model group,MET group(88.5 mg/kg),TE high-dose(800 mg/kg)group,TE medium-dose(400 mg/kg)group and TE low-dose(200 mg/kg)group(n=10).High-fat and high sugar feed com-bined with low dose STZ(45 mg/kg)was used to in-duce T2DM rat model,and the rats were adminis-tered orally for 5 weeks.Fasting blood glucose(FBG),insulin(FINS)level and HOMA-IR index,bio-chemical indicators[superoxide dismutase(SOD),malondialdehyde(MDA),glycosylated hemoglobin A1c(HbA1c)and inflammatory factor[interleukin-1β(IL-1β),tumor necrosis factor α(TNF-α),vascu-lar cell adhesion molecular(VCAM-1)levels of the rats were also observed;morphological changes of renal tissue was observe by HE staining.RESULTS:Based on the screening conditions of oral bioavail-ability(OB)≥ 30％and drug like properties(DL)≥0.18,a total of 19 main active ingredients with po-tential therapeutic effects on T2DM were screened from Tamarix chinensis Lour.,including ergosta-5,24(28)-dien-3,7,16-triol,quercetin-3,3'-dimethyl ether,kaempferol,quercetin,and others.By analyz-ing the potential targets of Tamarix chinensis Lour.for treating T2DM,a total of 185 potential target genes were screened,including SRC,EGFR,HSP90AA1,AKT1,ESR1,H1F1A,TNF,PIK3R1,etc,in-volving cancer signaling pathways,insulin resis-tance,MAPK signaling pathways,PI3K Akt signaling pathways,etc.Molecular docking results showed that the binding energies were all less than-5.0 kcal/mol,indicating that a strong binding abili-ty between the active ingredients screened by Tam-arix chinensis Lour.and the potential targets for the treatment of T2DM.The animal experiment re-sults showed that compared with the model group,the weight loss of rats in the MET and TE groups was slowed down,and the levels of FBG,FINS,MDA,HbA1c,IL-1β,TNF-α,VCAM-1,HOMA-IR in-dex were reduced,the SOD level was increased,and the differences were statistically significant(P＜0.05,P＜0.01),Renal tissue cellular morphology also showed notable improvement.Most importantly,all these results demonstrating dose-dependent ef-fects.CONCLUSION:Tamarix chinensis Lour.dis-plays a significant therapeutic effect on T2DM through multi-component,multi-target,and multi-pathway synergistic actions to improve blood glu-cose levels.The findings of this study provide a the-oretical basis for the clinical application of Tamarix chinensis Lour.in the treatment of T2DM.

OBJECTIVE: Varied acupoint selections represent a potential cause of the uncertainty surrounding the efficacy of acupuncture for knee osteoarthritis (OA). Skin temperature, a guiding factor for acupoint selection, may help to address this issue. This study explored thermal sensitization of acupoints used for the treatment of knee OA. METHODS: This cross-sectional case-control study enrolled cases aged 45-75 years with symptomatic knee OA and age- and gender-matched non-knee OA controls in a 1:1 ratio. All participants underwent infrared thermographic imaging. The primary outcome was the relative skin temperature of acupoint (STA), and the secondary outcome was the absolute STA of 11 acupoints. The Z test was used to compare the relative and absolute STAs between the groups. Principal component analysis was used to extract the common factors (CFs, acupoint cluster) in the STAs. A general linear model was used to identify factors affecting the STA in the knee OA cases. For the group comparisons of relative STA, P < 0.0045 (adjusted for 11 acupoints through Bonferroni correction) was considered to indicate statistical significance. For other analyses, P < 0.05 was used as the threshold for statistical significance. RESULTS: The analysis included 308 participants, consisting of 151 cases (mean age: [64.58 ± 6.67] years; male: 25.83%; mean body mass index: [25.70 ± 3.16] kg/m²) and 157 controls (mean age: [63.37 ± 5.96] years; male: 26.11%; mean body mass index: [24.47 ± 2.84] kg/m²). The relative STAs of ST34 (P = 0.0001), EX-LE2 (P < 0.0001), EX-LE5 (P = 0.0006), SP10 (P < 0.0001), BL40 (P = 0.0012) and GB39 (P = 0.0037) were higher in the knee OA group. No difference was found in the STAs of ST35, ST36, SP9, GB33 and GB34. Four CFs were identified for relative STA in both groups. The acupoints within each CF were consistent between the groups. The mean values of the relative STAs across each CF were higher in the knee OA group. In the knee OA cases, no factors were observed to affect the relative STA, while age and gender were found to affect the absolute STA. CONCLUSION Among patients with knee OA, thermal sensitization occurs in the acupoints of the lower extremity, exhibiting localized and regional thermal consistencies. The thermally sensitized acupoints that we identified in this study, ST34, SP10, EX-LE2, EX-LE5, GB39 and BL40, may be good choices for the acupuncture treatment of knee OA. Please cite this article as: Tu JF, Wang XZ, Yan SY, Wang YR, Yang JW, Shi GX, Zhang WZ, Jing LN, Yang LS, Liu DH, Wang LQ, Mi BH. Thermal sensitization of acupoints in patients with knee osteoarthritis: A cross-sectional case-control study. J Integr Med. 2025; 23(3): 289-296.
Humans ; Osteoarthritis, Knee/physiopathology* ; Male ; Cross-Sectional Studies ; Middle Aged ; Female ; Acupuncture Points ; Case-Control Studies ; Aged ; Skin Temperature ; Acupuncture Therapy

Objective:To evaluate the effectiveness of fosaprepitant in preventing postoperative nausea and vomiting (PONV) following gynecological laparoscopic surgery.Methods:In this randomized parallel-controlled trial, 100 American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ patients, aged 18-64 yr, undergoing elective gynecological laparoscopic surgery under general anesthesia at the First Affiliated Hospital of Zhengzhou University, were selected and divided into 2 groups ( n=50 each) in a ratio of 1∶1 using blocked randomization: fosaprepitant group (group F) and tropisetron group (group T). At 30 min before anesthesia induction, fosaprepitant 150 mg was intravenously infused in group F, and tropisetron 5 mg was intravenously infused in group T, both diluted in 150 ml of normal saline. Anesthesia was induced by intravenous injection of midazolam, etomidate, sufentanil and cisatracurium. Anesthesia was maintained by intravenous infusion of remifentanil and propofol. Patient-controlled intravenous analgesia was performed with hydromorphone at the end of operation until 48 h after operation. Metoclopramide was given as rescue antiemetic. The PONV, requirement for antiemetic drugs and related adverse reactions were recorded within 24 h after surgery. Results:The incidence of PONV (10% vs 30%), the incidence of vomiting(2% vs 16%) and the rescue rate of antiemetic drugs(2% vs 12%)were significantly lower in group F than in group T ( P<0.05). There was no significant difference in the incidence of related adverse reactions between the two groups ( P>0.05). Conclusions:Intravenous infusion of fosaprepitant 150 mg at 30 min before anesthesia induction effectively prevents PONV in patients undergoing gynecological laparoscopic surgery, and the efficacy is superior to that of the conventional use of tropisetron.

Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.