OBJECTIVE To investigate the therapeutic effect and mechanism of Qiwei dongqingye powder （QDP） on bronchial asthma in mice. METHODS The mice were divided into blank group （normal saline）， model group （normal saline）， dexamethasone group （2 mg/kg）， and QDP low-， medium-， and high-dose groups （200， 400， 800 mg/kg）， with 14 mice in each group. Except for the blank group， mice in all other groups were given ovalbumin via intraperitoneal injection followed by aerosol inhalation to induce a bronchial asthma model. During the modeling process， mice in each group were administered corresponding drug solutions or normal saline intragastrically/intraperitoneally. After the last medication， the number of cells in the bronchoalveolar lavage fluid （BALF） of the mice was observed and counted； the pathological changes of the bronchus and lung tissue were observed； the levels of malondialdehyde （MDA）， nitric oxide （NO）， total superoxide dismutase （T-SOD）， and glutathione peroxidase （GSH-Px） in the lung tissue of the mice were determined， and the level of interleukin-17 （IL-17） in the BALF and serum was determined. Transcriptomics was employed to predict and validate the mechanism of action of QDP against bronchial asthma. RESULTS Compared with the model group， the total cell count， neutrophil count， lymphocyte count， and macrophage counts in the BALF of the QDP high-dose group were all significantly reduced （ P ＜0.05）； the levels of MDA and NO in the lung tissue， and the levels of IL-17 in the BALF and serum were all decreased significantly （ P ＜0.05）； the levels of T-SOD and GSH-Px were significantly increased （ P ＜0.05）； the arrangement of lung tissue cells tended to normalize， with reduced infiltration of inflammatory cells and decreased exfoliation of bronchial simple columnar epithelial cells. The transcriptomic results revealed that the differentially expressed genes were B-cell receptor signaling pathway， nuclear factor κB （NF-κB） signaling pathway， ferroptosis signaling pathway， and others. Further validation revealed that， compared with the model group， the expression levels of NF-κB p65 and chemokine ligand 20， as well as the phosphorylation level of NF-κB inhibitor protein α， were significantly decreased in the lung tissues of the mice in all QDP groups （ P ＜0.05）. Conversely， the protein expression of nuclear factor erythroid 2-related factor 2 （Nrf2） and heme oxygenase 1 （HO-1） were significantly increased （ P ＜0.05）. CONCLUSIONS QDP can effectively alleviate bronchial asthma by inhibiting the NF-κB signaling pathway， activating the Nrf2/HO-1 signaling pathway， regulating oxidative stress， and reducing inflammatory responses.

Ulcerative colitis （UC） is a chronic and relapsing inflammatory disease of the intestine. Intestinal fibrosis represents a severe co mplication and a potential risk factor for malignant transformation. Gentianopsis paludosa is one of the traditional Tibetan medicines commonly used for treating gastrointestinal disorders such as damp-heat diarrhea and dysentery. Its chemical composition is complex， encompassing xanthones， flavonoids， terpenoids， and other bioactive components， and it exhibits properties such as clearing heat， eliminating dampness， and detoxifying. This article reviews the research progress on the pharmacodynamic material basis and mechanisms of G. paludosa against UC and associated fibrosis. Findings suggest that its extracts （e.g.， aqueous extract， ethyl acetate extract） and active constituents （e.g.， 1-hydroxy-3，7，8-trimethoxyxanthone， ursolic acid， swertiamarin， luteolin） may inhibit inflammatory cytokines， combat oxidative stress， suppress cell apoptosis， regulate intestinal microbiota and their metabolites， protect the intestinal mucosal barrier， modulate immune responses， and inhibit epithelial-mesenchymal transition， through modulating relevant signaling pathways， such as nuclear factor-kappa B， B-cell lymphoma-2 （Bcl-2）/Bcl-2-associated X protein， and transforming growth factor-β 1 /Smad， thus exerting therapeutic effects against UC and its related fibrosis via these seven aspects.

Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

Objective: To explore the setting of gray zone of Treponema pallidum (TP) testing by retrospective analysis of blood donors with single reagent reactive anti-TP results, so as to improve blood utilization and supply safety. Methods: Blood samples were collected from 112 blood donors previously deferred due to single reagent reactive TP antibody results between January 2020 and December 2023, and subjected to dual ELISA reagents and TPPA test. The gray zone panel analysis was performed on the two ELISA reagents currently used in our department. The detection rate at each concentration of the gray zone panle was counted, and the corresponding concentrations for C , C , and C and gray zone cut-off were calculated. Results: Among the 50 samples deferred by reagent 1, 19 were confirmed reactive and 31 non-reactive in supplementary testing. Among the 62 samples deferred by reagent 2, 12 were confirmed reactive and 50 non-reactive in supplementary testing. For reagent 1, the detection rate of was 56% for S/CO≥1 and 20% for 0.5≤S/CO<1, retrospectively. For reagent 2, the detection rate was 27% for S/CO≥1 and 12.5% for 0.5≤S/CO<1, retrospectively. The detection rate for S/CO≥1 was higher than those for 0.5≤S/CO<1 for both reagents. All the 112 samples were negative in TPPA test. The C concentration of reagent 1 was 1.51 mIU/mL, and the concentration range of C ±20% was 1.21-1.81 mIU/mL. The C concentration of reagent 2 was 1.45 mIU/mL, and the concentration range of C ±20% was 1.16-1.74 mIU/mL. The C and C concentration of both reagents were within the C ±20% range, suggesting that the gray zone cutoff for both Reagent 1 and Reagent 2 should be set at S/CO=0.8 (80% of the CO value). Conclusion: All anti-TP single reagent reactive samples with S/CO value within the gray zone was tested negative by TPPA. It is necessary to consider the rationality and necessity of establishing the gray zone, so as to ensure blood safety and improve the utilization rate of blood resources.

Objective: To understand the serum vitamin D and vitamin K 1 levels of children in the Qingdao area, so as to provide scientific grounds for appropriate vitamin supplementation. Methods: A total of 4 469 children aged 0-14 years old, who attended the children s healthcare outpatient clinics of a tertiary hospital in Qingdao, were enrolled in the current study between January 2023 and July 2024. The levels of vitamin D and vitamin K 1 were measured by liquid chromatography tandem mass spectrometry. The inter group differences were analyzed using Chi square test, Wilcoxon rank sum test, and Kruskal-Wallis H test. The correlation analysis of vitamin D and vitamin K 1 levels with age was performed using the Spearman correlation. Results: The serum vitamin D level among children was 28.72(22.67, 36.26)ng/mL. The vitamin D deficiency and insufficiency rates were 2.10% and 14.59 %, respectively. The serum 25-(OH)D 2 level was 0.29(0.14, 0.53)ng/mL, the serum 25-(OH)D 3 level was 27.99( 21.78 , 35.57)ng/mL and the serum vitamin K 1 level was 0.54(0.29, 1.04)ng/mL. The vitamin K 1 deficiency rate was 13.76%. Among different age stages, the serum vitamin D level was highest in infancy [37.45(30.39, 43.87)ng/mL] and lowest in school age children [22.39(18.00, 26.97)ng/mL]; the level of vitamin K 1 was highest in preschool children [0.79(0.41, 1.51) ng/mL] and lowest in school age children[0.45 (0.26, 0.76) ng/mL]; the serum vitamin D deficiency and insufficiency rates were highest in school age children (5.03% and 30.81%); the vitamin K 1 deficiency rate was highest in infancy (21.53%) ( H/χ 2=1 698.31, 253.70 , 137.85 , 583.79, 89.30, all P <0.05). Among different seasons, the serum vitamin D and vitamin K 1 levels were lowest in the winter [26.74(18.37, 35.86) and 0.50 (0.27, 0.94)ng/mL; H =50.71, 7.86]; the vitamin D deficiency and insufficiency rates were highest in the winter (5.41% and 24.80%; χ 2=59.93, 83.35) (all P <0.05). The serum vitamin D level had a moderate negative correlation with age ( r =-0.62), and there was a low positive correlation between the serum vitamin D and vitamin K 1 levels in infancy and early childhood ( r =0.21, 0.26) (all P <0.05). Conclusions The serum vitamin D and vitamin K 1 levels are lowest in school age children and in the winter, and the serum vitamin K 1 deficiency rate is highest in infancy. There is a need to focus on critical periods of infancy and school age, and strengthen interventions during the high risk winter season. The nutritional status of vitamin D and vitamin K 1 in children should be enhanced.

ObjectiveTo investigate the therapeutic effect and mechanism of Huatan Qushi Huoxue prescription on rats with metabolic dysfunction-associated steatohepatitis （MASH）. MethodsA total of 60 specific pathogen-free Sprague-Dawley rats were randomly divided into blank control group， model A group， model B group， Western medicine group （polyene phosphatidylcholine， 143.64 mg/kg）， high-dose Chinese medicine group （Huatan Qushi Huoxue prescription， 20.16 g/kg）， and middle-dose Chinese medicine group （Huatan Qushi Huoxue prescription， 10.08 g/kg）. All rats except those in the blank control group were given high-fat diet. Samples were collected from the model A group at week 8， and since week 12， the other groups were given the corresponding drug once a day for 8 consecutive weeks， with samples collected at week 20. Body weight， liver wet weight， and liver index were measured for all rats； the microplate method was used to measure the serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， and free fatty acids （FFA）； ELISA was used to measure the serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and soluble triggering receptor expressed on myeloid cells 2 （sTREM2）； HE staining and oil red O staining were performed to observe liver histopathological changes； immunofluorescence assay was used to measure CD68⁺TREM2⁺ cells in liver tissue and calculate the phagocytosis rate of macrophages； quantitative real-time PCR was used to measure the mRNA expression levels of sphingosine 1-phosphate （S1P）， sphingosine 1-phosphate receptor 1 （S1PR1）， a disintegrin and metalloproteinase 17 （ADAM17）， and triggering receptor expressed on myeloid cells 2 （TREM2） in liver tissue， and immunohistochemistry was used to measure the protein expression levels of S1P， S1PR1， ADAM17， and TREM2 in liver tissue. A one-way analysis of variance was used for comparison of normally distributed continuous data with homogeneity of variance between groups， and the least significant difference t-test was used for further comparison between two groups； the Welch’s test was used for comparison of normally distributed continuous data with heterogeneity of variance between groups， and the Tamhane’s test was used for further comparison between two groups. The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups， and the Dunn’s test was used for further comparison between two groups. ResultsCompared with the blank control group， the model A group and the model B group had significant increases in body weight and liver wet weight， and the model B group had a significant increase in liver index （all P<0.05）. HE staining showed diffuse macrovesicular steatosis of liver tissue in the model A group and a large number of hepatocytes with ballooning degeneration in liver tissue in the model group B， with the presence of mixed inflammatory cell infiltration and mild perisinusoidal fibrosis in the lobules and the portal area. Compared with the blank control group， the model A group and the model B group had significant increases in NAS score and oil red O-positive area （all P<0.05）， and the model B group had significant increases in these two indicators than the model A group （both P<0.05）. Compared with the blank control group， the model A group and the model B group had significant increases in the serum levels of TC， TG， LDL-C， FFA， IL-1β， IL-6， and sTREM2 and a significant reduction in the serum level of HDL-C， and the model B group had significant increases in the serum levels of ALT， AST， and TNF-α （all P<0.05）； compared with the model A group， the model B group had significant increases in the serum levels of ALT， AST， TC， TG， FFA， TNF-α， IL-1β， IL-6， and sTREM2 and a significant reduction in the serum level of HDL-C （all P<0.05）. Immunofluorescence assay showed that compared with the blank control group， the model A group had a significant increase in the phagocytosis rate of macrophages （P<0.05）， while the model B group had a significantly lower phagocytosis rate of macrophages than the model A group （P<0.05）. Quantitative real-time PCR showed that compared with the blank control group， the model A group and the model B group had a significant increase in the mRNA expression level of TREM2， and the model B group had significant increases in the mRNA expression levels of S1P and S1PR1 （both P<0.05）； moreover， compared with the model A group， the model B group had significant increases in the mRNA expression levels of S1PR1 and TREM2 （both P<0.05）. Immunohistochemistry showed that compared with the blank control group， the model A group and the model B group had significant increases in the protein expression levels of S1P， S1PR1， and ADAM17， and the model A group had a significant increase in the protein expression level of TREM2 （all P<0.05）； compared with the model A group， the model B group had significant increases in the protein expression levels of S1P， S1PR1， and ADAM17 and a significant reduction in the protein expression level of TREM2 （all P<0.05）. Compared with the model B group， each medication group had significant reductions in body weight， liver wet weight， and liver index （all P<0.05）； each medication group had significant improvements in hepatic steatosis and inflammatory damage， with significant reductions in NAS score and oil red O-positive area （all P<0.05）； each medication group had significant reductions in the serum levels of ALT， AST， TC， TG， FFA， IL-1β， and IL-6 （all P<0.05） and a significant increase in the serum level of HDL-C （P<0.05）， and the high-dose Chinese medicine group had a significant reduction in the serum level of TNF-α （P<0.05）； each medication group had a significant increase in the phagocytosis rate of macrophages （all P<0.05）； the high- and middle-dose Chinese medicine groups had a significant reduction in the protein expression level of ADAM17， and the high-dose Chinese medicine group had a significant increase in the protein expression level of TREM2 （all P<0.05）. ConclusionHuatan Qushi Huoxue prescription improves lipid metabolism and inflammation in the liver of MASH rats by regulating hepatic macrophage phagocytosis.

[摘 要] 目的：构建负载STING激动剂DMXAA的锰卟啉金属有机框架纳米颗粒（DPM），探讨其对三阴性乳腺癌（TNBC）细胞4T1及其小鼠移植瘤的治疗效果。方法：通过物理吸附法制备 DPM 纳米颗粒，利用透射电镜、扫描电镜及纳米粒度电位仪表征其形貌与理化性质。常规培养4T1细胞，细胞实验分为对照组、超声辐照组（US组）、DPM治疗组（DPM组）和DPM治疗联合超声辐照组（DPM + US组），用CCK-8法检测细胞活性，免疫荧光法检测高迁移率族蛋白B1（HMGB1）和钙网蛋白（CRT）的表达，WB法检测STING通路相关蛋白的表达。构建4T1细胞移植瘤小鼠模型，分为四组，处理同细胞实验，测量肿瘤体积，免疫荧光法检测移植瘤组织中Ki-67、HMGB1、CRT和缺氧诱导因子-1ɑ（HIF-1ɑ）蛋白的表达，TUNEL法检测细胞凋亡，流式细胞术检测免疫细胞活化情况，对主要器官进行H-E染色，以评估纳米材料的体内安全性。结果：DPM呈梭形，平均粒径（268 ± 3.302）nm，电位（33.1 ± 0.87）mV。细胞实验中，DPM联合超声辐照可明显抑制4T1细胞的增殖（P < 0.001），提高4T1细胞中ROS水平（P < 0.001），诱导4T1细胞CRT表达上调（P < 0.001），HMGB1从细胞核中移至细胞质，激活STING信号通路[p-STING、p-TBK1、p-IRF3蛋白表达均显著增加（均P < 0.001）]。体内实验中，DPM联合超声辐照可显著抑制4T1细胞移植瘤生长（P < 0.001）并促进免疫细胞表型转化（P < 0.001），抑制移植瘤组织中Ki-67、HIF-1α蛋白表达（均P < 0.01），谷胱甘肽（GSH）产生（P < 0.01），促进CRT、HMGB1蛋白表达、ROS产生（P < 0.001），对主要器官结构无明显影响。结论： DPM联合超声辐照可通过激活STING通路显著抑制4T1细胞及其移植瘤的生长，诱导抗肿瘤免疫应答，且对主要器官无明显毒性。

Background Meteorological factors are among the key extrinsic triggers for the onset and exacerbation of cardiovascular and cerebrovascular diseases (CVD). Against the backdrop of sustained global warming, elucidating the impact of ambient temperature and atmospheric pressure on CVD, especially on pre-hospital CVD emergent events, has become imperative for evidence-based prevention and emergency preparedness. Objective To quantify the temporal trends of daily mean temperature and atmospheric pressure and their associations with pre-hospital CVD emergent events in Yantai, and to explore effect modification by demographic subgroups and geographic areas, thereby providing an empirical basis for the rational allocation of emergency medical resources. Methods Pre-hospital CVD emergency data from January 1, 2016 to December 31, 2022 were selected from the Yantai 120 Emergency Medical Command System. Synchronous meteorological factors and environmental pollutant data were obtained from the websites of the National Oceanic and Atmospheric Administration and the National Centers for Environmental Information of the United States. Time-series analysis combined with distributed lag non-linear model was used to analyze the association between daily temperature, atmospheric pressure, and pre-hospital CVD emergencies. Average annual percentage changes (AAPC) were calculated using Joinpoint (version 5.2.0.0) to reflect temporal trends. Spearman correlation analysis was employed to screen variables with low collinearity for inclusion in the multi-pollutant adjusted models. Results From 2016 to 2022, a total of 268275 pre-hospital CVD emergency cases were recorded in Yantai City, showing an increasing annual trend (AAPC=7.16%, P=0.002). Emergency volume, daily temperature, atmospheric pressure, and PM₁₀ displayed marked seasonal patterns, with summer bottoms and winter peaks for emergencies, daily temperature higher in summer and lower in winter, and the inverse for atmospheric pressure. Correlation analysis showed that both daily temperature and atmospheric pressure were positively correlated with O₃, with correlation coefficients of 0.745 and 0.723, respectively; negatively correlated with PM_2.5, with correlation coefficients of −0.246 and −0.235, respectively; and negatively correlated with PM₁₀, with correlation coefficients of −0.241 and −0.229, respectively (P < 0.05). A U-shaped correlation was revealed between daily temperature and pre-hospital CVD emergency risk. Using 24 °C as the reference, risk was elevated at both low and high daily temperatures, with the strongest cold effect at –11 ℃ (RR=1.53, 95%CI: 1.35, 1.73) and strongest heat effect at 30 ℃ (RR=1.06, 95%CI: 1.01, 1.11); cold effects were prolonged (lag0–14d) compared to heat effects. Atmospheric pressure exhibited a positive association with emergencies; using a median of 1012.2 hPa as the reference, the maximum risk occurred at 1037 hPa (RR=1.25, 95%CI: 1.03, 1.52), with a 0–5 d lag. In the subgroup analysis, the impact of low temperature was more pronounced among females (RR_{−9 ℃}=1.66), people over 60 years (RR_{−9 ℃}=1.91), and rural residents (RR_{−9 ℃}=1.76). High atmospheric pressure significantly increased the risk of pre-hospital CVD emergency among females (RR_{1035 hPa}=1.54), people under 18 years (RR_{1035 hPa}=3.62), and rural residents (RR_{1035 hPa}=1.46). The sensitivity analysis results indicated that, after excluding the impact of pandemic and the degrees of freedom for time variations, the effects of daily average temperature and atmospheric pressure on pre-hospital CVD emergency volume were consistent with the primary analysis findings. Conclusion Both non-optimal temperature and atmospheric pressure significantly increase the pre-hospital CVD emergency volume; therefore, emergency medical services should develop targeted response protocols, optimize resource allocation, and intensify public health education to mitigate the pre-hospital burden attributable to temperature and pressure fluctuations.

Cancer remains a leading cause of global mortality, necessitating the development of advanced therapeutic strategies with enhanced efficacy and reduced systemic toxicity. Among promising bioactive agents, lactoferrin (LF)—a multifunctional iron-binding glycoprotein abundantly found in mammalian milk and exocrine secretions—has garnered significant interest for its potent and multifaceted anti-cancer properties. This review provides a comprehensive analysis of the current understanding of LF’s role in oncology, encompassing its structural biology, diverse mechanisms of action, and groundbreaking advancements in its application through nano-engineering. LF exerts anti-tumor effects through multiple pathways, including extracellular action, intracellular action, and immune regulation. It demonstrates a remarkable affinity for cancer cell membranes, binding to overexpressed anionic components such as glycosaminoglycans and sialic acids, as well as to specific receptors including the low-density lipoprotein receptor-related protein-1 (LRP-1). This selective binding facilitates targeted uptake. Upon internalization, LF orchestrates a direct assault by inducing cell-cycle arrest in phases such as G0/G1 or S phase through the modulation of key regulators including cyclins, CDKs, and p53. Furthermore, it promotes programmed cell death via apoptotic pathways, involving caspase activation and downregulation of anti-apoptotic proteins such as survivin. A more recently elucidated mechanism is the induction of ferroptosis, an iron-dependent form of cell death characterized by overwhelming lipid peroxidation. Beyond direct cytotoxicity, LF acts as a potent immunomodulator. It enhances natural killer (NK) cell activity, modulates T-lymphocyte populations, and crucially reprograms tumor-associated macrophages (TAMs) from a pro-tumor M2 state to an anti-tumor M1 state, thereby reversing the immunosuppressive tumor microenvironment (TME). The translation of LF’s potential has been significantly accelerated by nanotechnology. The inherent biocompatibility and natural tumor-targeting capabilities of LF make it an ideal platform for sophisticated drug-delivery systems. This review details various fabrication strategies for LF-based nanoparticles (NPs), including self-assembly, sol-in-oil emulsion, and electrostatic nanocomplexes, among others. Research demonstrates that nano-formulations not only protect LF from degradation but also enhance its bioactivity and anti-cancer potency. More importantly, LF NPs serve as versatile carriers for a wide array of therapeutic agents, including conventional chemotherapeutics, natural compounds, and imaging agents. These engineered systems enable synergistic therapy and facilitate site-specific delivery. Notably, the ability of LF to bind to receptors on the blood-brain barrier (BBB) has been leveraged to develop nano-systems for glioblastoma treatment. Other innovative designs utilize LF to modulate the TME—for instance, by alleviating tumor hypoxia to sensitize cells to radiotherapy and chemotherapy. Despite compelling pre-clinical evidence, the clinical translation of LF and its nano-formulations remains nascent. While early-phase trials have established a favorable safety profile for recombinant human LF, larger Phase III studies have yielded mixed results, underscoring the complexity of its action in humans. Key challenges include enhancing drug targeting, optimizing loading efficiency, ensuring batch-to-batch reproducibility, and achieving deep tumor penetration. Future research must focus on the rational design of next-generation LF-NPs. This entails developing standardized manufacturing protocols, engineering “smart” stimuli-responsive systems for targeted drug release in the TME, and constructing multi-targeting platforms. A concerted interdisciplinary effort is paramount to bridge the gap between bench and bedside. In conclusion, LF, particularly in its nano-engineered forms, represents a highly promising and versatile agent in the oncological arsenal, holding immense potential for precise and effective cancer therapy.

Chronic pain is a complex condition shaped by long-standing alterations in both physiological and psychological processes. Rather than representing a simple continuation of acute nociceptive signaling, chronic pain is increasingly understood as the outcome of progressive dysregulation within distributed neural systems that govern sensation, affect, motivation, and cognitive control. Neuroimaging and electrophysiological studies indicate that this state is accompanied by extensive plastic changes in deep brain structures and large-scale networks. Beyond well-described central sensitization processes, chronic pain is characterized by disrupted oscillatory rhythms and altered connectivity within large-scale brain networks, including thalamo-cortical circuits and prefrontal-limbic-reward networks. These findings support a conceptual shift from viewing chronic pain as a focal, lesion-driven phenomenon toward recognizing it as a disorder of distributed network pathology. Pharmacological treatments remain central to clinical practice, yet their long-term efficacy is often limited and frequently accompanied by substantial side effects. The ongoing concerns about opioid-related risks and the inadequate therapeutic response in a subset of patients highlight the need for safe, non-pharmacological approaches that can address not only pain but also comorbid disturbances in mood, sleep, and social functioning. Neuromodulation provides a promising path toward mechanism-based and non-pharmacological management of chronic pain by employing physical or chemical stimulation to alter the excitability and synchrony of specific neural populations within central, peripheral, and autonomic systems. While invasive deep brain stimulation demonstrates that targeting deep brain structures can be effective, its clinical application is restricted by surgical risks and cost, highlighting the importance of non-invasive techniques capable of reaching deep targets. Current non-invasive approaches, such as transcranial electric stimulation, are constrained by limited penetration depth and insufficient spatial precision. These limitations hinder reliable engagement of deep regions implicated in pain, including the thalamus and nucleus accumbens, and tend to produce broad, non-specific modulation of cross-network oscillatory activity. Temporal interference (TI) stimulation has emerged as a means of overcoming these obstacles. By delivering interacting high-frequency currents that generate a low-frequency envelope within the head, TI enables focal stimulation of deep targets while minimizing superficial current delivery. Recent multiscale modeling and animal studies indicate that TI exploits the nonlinear rectification properties of neuronal membranes in response to high-frequency carriers, as well as their phase-locked responses to low-frequency envelopes, to generate “peak-focused” electric fields in deep regions under relatively low superficial current loads. Moreover, TI appears to exhibit potential advantages in terms of cell-type selectivity and rhythm-specific engagement, including differential responses across neuronal subtypes and distinct coupling to θ-, β-, and γ-band oscillations. These features suggest a promising avenue for correcting abnormal rhythms and network dynamics that contribute to chronic pain. This review summarizes current knowledge of the neural mechanisms underlying chronic pain and recent advances in TI research. It examines functional disturbances across key pain-related regions and networks, outlines the principles and technical characteristics of TI, and discusses potential deep-brain targets and stimulation strategies relevant to chronic pain. Evidence to date indicates that TI, with its non-invasiveness, tolerability, and capacity for precise deep brain modulation, holds great promise for the management of treatment-resistant chronic pain and may evolve into a new generation of precise and efficient non-pharmacological analgesic strategies.