Breast cancer has become the malignant tumor with the highest incidence rate among women， seriously threatening the life and health of women all over the world. The pathogenic factors and development mechanisms of breast cancer are complex and diverse. The development of breast cells from ordinary hyperplasia to atypical hyperplasia， and from pre-cancerous lesions to cancerous lesions， is a long-term progressive process. Therefore， early screening and prevention of breast cancer is particularly important. Western medicine has a relatively mature treatment program for breast cancer， which is mainly based on surgery and systemic treatment， whereas the ensuing complications and adverse reactions often bring a heavy burden to patients. For the precancerous lesions of breast cancer， surgery is also the mainstay of treatment. In recent years， traditional Chinese medicine （TCM） has increasingly highlighted its advantages in the prevention and treatment of breast cancer. Increasing studies have shown that in the prevention and treatment of breast cancer and pre-cancerous lesions， TCM compound prescriptions， single herbs or herb pairs， and active components are able to regulate a variety of intracellular signaling pathways through multi-targets to inhibit the proliferation and invasion， promote the apoptosis and autophagy of tumor cells， and regulate the cell cycle and the immune microenvironment， thus exerting anti-tumor effects. At the same time， they can significantly attenuate the toxic side effects of radiotherapy and drug resistance of patients. However， the specific mechanisms of TCM in the prevention and treatment of breast cancer and precancerous lesions have not been fully clarified. The available studies are tanglesome regarding the TCM inhibition of tumor development through the regulation of classical signaling pathways such as phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Wnt/β-catenin， and Notch， which still need to be verified by a large number of clinical and experimental studies. Therefore， this paper reviews the research progress in the prevention and treatment of breast cancer and precancerous lesions by TCM through interfering with the relevant signaling pathways in recent years， aiming to summarize the possible mechanisms of TCM in the prevention and treatment of breast cancer and provide references for subsequent studies.

OBJECTIVE To explore the mechanism of Shaoyao gancao decoction in improving intestinal motility in rats with slow transit constipation （STC） by regulating acid-sensitive ion channel 3 （ASIC3）/extracellular signal-regulated kinase （ERK） signaling pathway. METHODS SD rats were used to construct an STC model by gavage with compound diphenoxylate. The successfully modeled rats were randomly divided into model group， Shaoyao gancao decoction group （1.5 g/mL）， lactulose group （208.4 mg/mL， positive control）， and combined inhibition group （Shaoyao gancao decoction 1.5 g/mL+amiloride hydrochloride 20 μg/kg）， with 12 rats in each group. Additionally， 12 healthy rats were selected as the blank group. They were given relevant medicine once a day and continuously intervened for 14 days. After intervention， the intestinal propulsion function and visceral sensitivity of the model rats were detected. The expression of ASIC3 in the colon tissue of rats was observed by immunohistochemical staining. mRNA expressions of ASIC3， ERK1 and ERK2 as well as protein expressions of ASIC3， ERK1/2 and phosphorylated ERK1/2 （p-ERK1/2） in colon tissue of rats were detected； the ultrastructural changes of the enteric nervous system （ENS） -interstitial cell of Cajal （ICC）-smooth muscle cell （SMC） network in the rat colon were observed under electron microscopy. RESULTS Compared with the model group， the intestinal propulsion rate of the Shaoyao gancao decoction group was significantly increased， while the visceral pain threshold was significantly decreased. The proportion of the positive area of ASIC3 in the colonic tissue was significantly increased. The relative mRNA expression levels of ERK1， ERK2， and ASIC3， as well as the relative protein expression levels of p-ERK1/2 and ASIC3， and the p-ERK1/2 to ERK1/2 in the colonic tissue， were all significantly increased （P＜0.05 or P＜0.01）. Additionally， there was marked repair of the morphological structure of ICC and SMC， with closer gap junctions observed. Compared with the Shaoyao gancao decoction group， the combined inhibition group exhibited a diminished improvement in intestinal motility of rats， with statistically significant differences in the levels of some indicators （P＜0.05 or P＜0.01）； the repairing of the morphological structure of ICC and SMC was notably attenuated. CONCLUSIONS Shaoyao gancao decoction can effectively improve the intestinal transmission function and promote intestinal repair in STC rats， and its mechanism may be related to regulating the balance of the ENS-ICC-SMC network mediated by the ASIC3/ERK signaling pathway， thus promoting intestinal motility and reducing visceral sensitivity.

Objective: To investigate the association between plant-based diet and different types of obesity, so as to provide references for obesity prevention. Methods: Residents aged 35-75 years from 33 counties (cities, districts) in Zhejiang Province were selected as study subjects using a multistage stratified random sampling method between April and December 2024. Demographic information and living behaviors were collected using questionnaire surveys. Height, weight and waist circumference were measured, and body mass index (BMI) was calculated. BMI ≥28.0 kg/m2 was defined as obesity, waist circumference ≥90 cm in males or ≥85 cm in females was defined as central obesity, and individual with obesity who also had central obesity was defined as having compound obesity. Food intake over a 3-day period was collected using the consecutive 3-day 24-hour dietary recall method. The plant diet index (PDI), healthful plant diet index (HPDI), and unhealthful plant diet index (UPDI) were calculated, and categorized into quintiles (Q1-Q5) based on their distribution. Association between the PDI, PDI, UPDI and different types of obesity were analyzed using multivariable logistic regression models. Results: A total of 4 882 individuals were surveyed, including 2 233 males (45.74%) and 2 649 females (54.26%). The average age was (55.42±12.14) years. There were 537 individuals of obesity, 1 718 individuals of central obesity, and 500 individuals of compound obesity, with detection rates of 11.00%, 35.19%, and 10.24%, respectively. Multivariable logistic regression analysis showed that, after adjusting for demographic information and living behaviors, compared with Q1 group, HPDI Q5 group showed a 29.6% lower risk of obesity (OR=0.704, 95%CI: 0.525-0.943) and a 32.1% lower risk of compound obesity (OR=0.679, 95%CI: 0.502-0.918). Conversely, the UPDI Q5 group exhibited a 39.5% higher risk of obesity (OR=1.395, 95%CI: 1.032-1.886) and a 39.8% higher risk of compound obesity (OR=1.398, 95%CI: 1.025-1.907). No statistically significant association was found between PDI and obesity, central obesity, and compound obesity (all P>0.05). As HPDI increased, the risks of obesity and compound obesity showed decreasing trends; as UPDI increased, the risks of obesity and compound obesity showed increasing trends (all Ptrend<0.05). Conclusion A healthful plant-based diet is associated with reduced risks of obesity and compound obesity, while an unhealthful plant-based diet is associated with increased risks of obesity and compound obesity.

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

The PA-PB1 interface of the influenza polymerase is an attractive site for antiviral drug design. In this study, we designed and synthesized a mini-library of indazole-containing compounds based on rational structure-based design to target the PB1-binding interface on PA. Biological evaluation of these compounds through a viral yield reduction assay revealed that compounds 27 and 31 both had a low micromolar range of the half maximal effective concentration (EC₅₀) values against A/WSN/33 (H1N1) (8.03 μmol/L for 27; 14.6 μmol/L for 31), while the most potent candidate 24 had an EC₅₀ value of 690 nM. Compound 24 was effective against different influenza strains including a pandemic H1N1 strain and an influenza B strain. Mechanistic studies confirmed that compound 24 bound PA with a K _d which equals to 1.88 μmol/L and disrupted the binding of PB1 to PA. The compound also decreased the lung viral titre in mice. In summary, we have identified a potent anti-influenza candidate with potency comparable to existing drugs and is effective against different viral strains. The therapeutic options for influenza infection have been limited by the occurrence of antiviral resistance, owing to the high mutation rate of viral proteins targeted by available drugs. To alleviate the public health burden of this issue, novel anti-influenza drugs are desired. In this study, we present our discovery of a novel class of indazole-containing compounds which exhibited favourable potency against both influenza A and B viruses. The EC₅₀ of the most potent compounds were within low micromolar to nanomolar concentrations. Furthermore, we show that the mouse lung viral titre decreased due to treatment with compound 24. Thus our findings identify promising candidates for further development of anti-influenza drugs suitable for clinical use.

Targeted protein degradation via nanoparticle-based universal strategy modifies nanoparticles with antibodies and ingeniously utilizes its cellular transport characteristics. This strategy achieved targeted degradation of extracellular proteins without complex design.Image 1.

OBJECTIVE To establish a method for the determination of propofol concentration in human plasma and apply it in patients with lymphedema. METHODS The concentration of propofol was determined by UPLC-MS/MS after protein precipitation of plasma samples using thymol as internal standard. The sample was eluted on a Kinetex C18 column with a mobile phase consisting of acetonitrile （A）-water （B） for gradient elution at the flow rate of 200 μL/min. The sample size was 5 μL， and the column temperature was set at 40 ℃. The sample chamber temperature was 15 ℃. Using multi-reaction monitoring mode， the ion pairs for quantitative analysis were m/z 177.0→161.2 （propofol） and m/z 149.0→133.1 （internal standard）， respectively. The above method was used to determine the plasma concentration of propofol in 6 patients with lymphedema. RESULTS The linear range of propofol was 50-5 000 ng/mL （r＝0.995 0）. RSDs of within- and between-batch precision were not more than 8.08%； no endogenous interference， carryover effect， or dilution effect was observed in blank plasma. The extraction recovery ranged from 89.80% to 93.73%， and matrix effects were within the range of 97.93%-101.73%. RSDs of the stability test were all lower than 3.27%. During intraoperative TCI 2-30 min， the plasma concentration of propofol in 6 patients was maintained in the range of 1 865.3-6 056.2 ng/mL， and the propofol was almost excreted within 4-8 h after operation. CONCLUSIONS The established UPLC-MS/MS method in this study can achieve the determination of propofol and a simple and fast sample pretreatment process without derivatization； it is proved to be suitable for the concentration monitoring of propofol in plasma samples of patients with lymphedema.

Corneal lymphangiogenesis plays a crucial role in ocular diseases. Normally, the cornea lacks blood vessels and lymph vessels, which are essential for maintaining transparency and function of cornea. However, certain diseases or injuries will prompt angiogenesis and lymphangiogenesis in cornea, thus disrupting the structure and function of cornea. Although various drugs targeting corneal angiogenesis have been applied in clinical practice, there is still a gap in medications targeting corneal lymphangiogenesis. Therefore, this review will introduce the factors related to corneal lymphangiogenesis, introduce related ocular diseases, and analyze the current treatment status, which will provide more options and possibilities for the treatment of lymphangiogenesis in ocular diseases and provide guidance for future research and drug development.

Objective To investigate the protective effect of PF-562271,a FAK inhibitor,against aging platelet-induced injury in human umbilical vein endothelial cells(HUVECs).Methods Cultured HUVECs were treated with vehicle,lipopolysaccharide(LPS),LPS+aging platelets,or LPS+aging platelets+PF-562271.The changes in protein expressions of FAK,pFAK and PECAM-1 in the treated cells were detected using Western blotting and immunofluorescence assay,and the level of reactive oxygen species(ROS)was detected with flow cytometry.The changes of barrier function of the cells were assessed with cell permeability test and transendothelial cell resistance test.RT-qPCR was used to analyze mRNA expressions of inflammatory factors,and pro-inflammatory cytokine levels in the culture supernatants was determined with enzyme-linked immunosorbent assay.Immunofluorescence assay was used to examine the effect of the ROS inhibitor vitamin C on PECAM-1 expression in the cells with different treatments.Results Treatment of HUVECs with LPS and aging platelets significantly increased cellular protein expressions of FAK,pFAK and PECAM-1,which were effectively lowered by addition of PF-562271(P<0.05).LPS and aged platelets obviously enhanced ROS production in the cells,which was inhibited by the addition of PF-562271(P<0.001).PF-562271 significantly alleviated the damage of endothelial cell barrier function of the cells caused by LPS and aging platelets(P<0.01).The expressions of TNF-α,IL-6 and IL-8 in HUVECs increased significantly after exposure to LPS and aging platelets,and were obviously lowered after treatment with PF-562271(P<0.05).Treatment with vitamin C significantly decreased the expression of PECAM-1 protein in the cells(P<0.01).Conclusion The FAK inhibitor PF-562271 alleviates endothelial cell damage induced by LPS and aging platelets by lowering cellular oxidative stress levels and reducing inflammatory responses.