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 understand current status and related factors of breakfast among primary and secondary school students in Zhejiang Province, so as to provide a scientific basis for improving breakfast habits of primary and secondary school students. Methods: During May to November of 2023, 33 326 students from grade four to six of primary schools and grade one to two of secondary schools were selected from 90 counties and cities in Zhejiang Province by using the stratified cluster random sampling method. General information and breakfast consumption were collected by questionnaire. Multivariate Logistic regression was used to analyze the related factors of breakfast. Results: About 81.29% of the primary and secondary school students reported regular breakfast consumption. The rate of regular breakfast consumption was higher on the school days (92.23%) than on the weekends (85.17%), and higher in primary school students (85.83%) compared to secondary school students (74.71%), with statistically significant differences ( χ 2=827.42, 655.03, P <0.01). About 49.19% of primary and secondary school students had their breakfast within 10 minutes or less, and 83.30% of primary and secondary school students had 3-5 food groups for breakfast. The proportions of students who consumed cereals and potatoes, milk, and eggs were respectively 18.76%, 28.85%, 14.63%. About 22.84%, 28.00 %, 32.60% and 32.23% of the students had no meat, soybeans, vegetables and fruits in their breakfast. The results of multivariate Logistic regression analysis showed that girls, rural area, secondary school, place of living (dormitory, others), migrant parent (one or both outside the hometown), late bedtime (22:00-22:59, 23:00 and later) and late wake up time (9:00 and later) on the weekends were positively correlated with no having breakfast every day ( OR=1.22, 1.40, 1.46, 1.20, 1.20, 1.34, 1.36, 1.41 , 3.51, 2.32, P <0.05). The time of physical activity per day (30-<60, 60-<90, 90-120, >120 min), bedtime (21:00-21:59, 22:00-22:59) and wake up time (6:00-6:59, 7:00-7:59) on school days were negatively correlated with no having breakfast every day ( OR=0.75, 0.64, 0.67, 0.64, 0.77, 0.82, 0.75, 0.67, P <0.05). Conclusions There is a considerable number of primary and secondary school students with irregular breakfast consumption, which are related to multiple factors. Therefore, it is necessary to strengthen nutrition education and improve the behavior of breakfast for primary and secondary school students.

Microglia, originating from primitive macrophages in the yolk sac, serves as both immune system defenders and regulators of homeostasis. These cells exhibit two primary polarization states: conventionally activated(M1)and alternatively activated(M2). The polarization of microglia plays a crucial role in influencing inflammatory disorders, metabolic imbalances, and neural degeneration. This process is implicated in various aspects of ocular diseases, especially age-related macular degeneration(AMD), including inflammation, oxidative stress and pathological angiogenesis. The distinct functional phenotypes of microglia impact disease progression and prognosis. Thus, regulating the polarization or functional phenotype of microglia at different stages of AMD holds promise for personalized therapeutic approaches. This comprehensive review outlines the involvement of microglia polarization in both physiological and pathological conditions, emphasizing its relevance in AMD. The discussion underscores the potential of polarization as a foundation for personalized treatment strategies for AMD.

Lung cancer is the top cause of cancer deaths globally.Advances in immune checkpoint inhibitors(ICIs)have transformed cancer treatment,but their use in lung cancer has led to more side effects.This study examined if past pulmonary tuberculosis(TB)affects ICIs'effectiveness and safety in lung cancer treatment.We reviewed lung cancer patients treated with ICIs at Beijing Chest Hospital from January 2019 to August 2022.We compared outcomes and side effects between patients with and without prior TB.Of 116 patients(40 with TB history,76 without),prior TB didn't reduce treatment effectiveness but did increase severe side effects.Notably,older patients(≥65 years)faced a higher risk of severe side effects.Detailed cases of two patients with severe side effects underscored TB as a risk factor in lung cancer patients receiving ICIs,stressing the need for careful monitoring and personalized care.