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 Based on TLR4/NF-κB/MLCK pathway,the therapeutic effect and mechanism of Baihe Dihuang Decoction on insomnia with intestinal flora disturbance in mice induced by p-chlorophenlalanine(PCPA)and multi-factor stimulation were studied.The aim is to provide theoretical basis for clinical use.Methods Eighty-four KM mice were randomly divided into normal group,model group,positive group(Diazepam,1.38 mg·kg-1),Baihe group(2.25 g·kg-1),Dihuang group(2.25 g·kg-1)and Baihe Dihuang Decoction group(4.5 g·kg-1).Insomnia mouse model was established by intraperitoneal injection of PCPA for 2 days combined with 4 weeks of multi-factor stimulation,including stimulating the tail with forceps clip for 2 minutes,reversing day and night for 24 hours,wetting the padding for 24 hours,tilting the cage at 45° for 24 hours,alternating the cages for 24 hours,fasting food for 24 hours,and getting cold bath for 3 minutes,etc.After successfully modeling,corresponding drug treatment was given.The anxiety-like behavior of mice was observed by elevated cross maze system.The latency and duration of sleep were observed by righting reflex experiment.16sRNA sequencing was used to analyze the composition and structure of intestinal flora in mice.The concentration changes of γ-aminobutyric acid(GABA),glutamic acid(Glu),tryptophan(Trp),5-hydroxytryptophan(5-HTP)and 5-hydroxytryptamine(5-HT)in brain and colon were detected by liquid chromatography-mass spectrometry(LC-MS).Immunohistochemical method was used to detect the expressions of zona atresia protein 1(ZO-1)and Occludin in colon.Real-time fluorescence quantitative PCR(qRT-PCR)was used to detect the genes including interleukin-1β(IL-1β),interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),ZO-1,Occludin,Toll-like receptor 4(TLR4),nuclear factor κB(NF-κB)and myosin light chain kinase(MLCK)in colonic tissue.Western Blot was used to detect the expressions of TLR4,NF-κB,phosphorylated nuclear factor κB(p-NF-κB),MLCK,myosin light chain(MLC)and phosphorylated myosin light chain(p-MLC)in colonic epithelial tissue.Results Compared with the normal group,the distance of entering the open arm and the duration of stay in the open arm of model group in the elevated cross maze were significantly shortened(P＜0.05).The sleep latency was significantly prolonged,and the sleep duration was significantly shortened(P＜0.05).The richness and uniformity of intestinal flora were decreased(P＜0.05,P＜0.01).The concentration of neurotransmitters GABA,Trp,5-HTP and 5-HT in the brain decreased significantly(P＜0.01),while the concentration of Glu increased significantly(P＜0.01).The concentration of GABA and Glu in colon decreased significantly(P＜0.01),while the concentration of Trp,5-HTP and 5-HT increased significantly(P＜0.01).The expression levels of inflammatory factors IL-1β,IL-6 and TNF-α in colonic tissue were significantly increased(P＜0.01),and the expression levels of ZO-1 and Occludin genes and proteins were significantly decreased(P＜0.01).The gene expression levels of TLR4,NF-κB and MLCK were significantly increased(P＜0.01),and the protein expression levels of TLR4,p-NF-κB,MLCK and p-MLC were significantly increased(P＜0.01).Compared with the model group,Baihe Dihuang Decoction could significantly prolong the distance of entering the open arm and the duration of stay in the open arm of insomnia mice in the elevated cross maze(P＜0.05).The sleep latency was significantly shortened,and the sleep duration was significantly increased(P＜0.05).The richness and uniformity of intestinal flora were increased(P＜0.05,P＜0.01).The concentration of neurotransmitters GABA,Trp,5-HTP and 5-HT in brain was increased(P＜0.05,P＜0.01),and the concentration of Glu was decreased(P＜0.01).The concentration of GABA and Glu in colon was increased(P＜0.01),while the concentration of Trp,5-HTP and 5-HT was decreased(P＜0.05,P＜0.01).The expression levels of IL-1β,IL-6 and TNF-α genes were down-regulated(P＜0.01),the expression levels of ZO-1 and Occludin genes and proteins were up-regulated(P＜0.01),TLR4,NF-κB,MLCK gene expression levels and TLR4,p-NF-κB,MLCK,p-MLC protein expression levels were down-regulated in the pathway(P＜0.01).Conclusion Baihe Dihuang Decoction can effectively treat insomnia with intestinal flora disorders.Its mechanism of action may be related to the regulation of brain and intestinal neurotransmitter disorders,down-regulating TLR4/NF-κB/MLCK signaling pathway,and up-regulating tight junction proteins expression,reducing inflammatory responses,and then repairing the mechanical barrier of intestinal mucosa.

The development of molecular imaging has been going on for more than 20 years. During this period, a large number of new imaging technologies for molecular imaging have been proposed, but only a small number of them have successfully achieved clinical transformation, entered the actual clinical application and achieved significant clinical results. Among them, intraoperative navigation based on fluorescence molecular imaging and quantitative analysis technology based on medical imaging big data are being carried out in more and more clinical trials and have gradually won wide recognition. Through the in-depth integration of these two technologies with artificial intelligence, a series of research results have been achieved in multiple clinical diagnosis and treat-ment processes such as preoperative diagnosis, intraoperative navigation and postoperative prediction of digestive system tumors, providing new technical support in the field of medical imaging for the individualized diagnosis and treatment of patients with digestive system diseases.

Objective:To investigate the impacts of ionizing radiation on protein expression profiles in esophageal tissues of rats using quantitative proteomics, in order to reveal the molecular mechanisms underlying the onset and development of radiation-induced esophagitis (RIE).Methods:A total of twenty-four male SD rats were divided by simple randomization into three groups: the control, 25 Gy irradiation, and 35 Gy irradiation groups, and their esophageal tissues were collected at 7 d post-irradiation to extract total protein. Then, changes in the protein expression profiles of the esophageal tissues in irradiated rats were investigated using tandem mass tag (TMT)-labeled quantitative proteomics and bioinformatics analysis. Additionally, the expressions of two key proteins, Hp and Ndufs4, were validated using immunohistochemistry and Western blot.Results:A comparison with the control group revealed a total of 847 differentially expressed proteins (DEPs; 483 up-regulated and 364 down-regulated) following 25 Gy irradiation and 699 DEPs (443 up-regulated and 256 down-regulated) following 35 Gy irradiation. Different radiation doses led to common 326 up-regulated proteins, which were mainly involved in biological processes and signaling pathways related to immune and inflammatory responses, and 210 down-regulated proteins, which were primarily involved in biological processes and signaling pathways related to energy production and metabolism. Furthermore, a total of 155 proteins were screened using a constructed protein protein interaction(PPI) network. Of these proteins, the up-regulated ones were most associated with three functional pathways, namely innate immune responses, complement and coagulation cascades, and innate immune system, while the down-regulated ones were most associated with energy acquisition via oxidizing organic compounds, oxidative phosphorylation, and the tricarboxylic acid (TCA) cycle and respiratory electron transfer. These functions were enriched with nine complement-related up-regulated and five mitochondria-related down-regulated proteins, respectively. Ionizing radiation significantly up-regulated Hp ( t = 27.94, 10.96, P<0.001) and down-regulated Ndufs4 ( t = 59.27, 54.07, P<0.001), consistent with the protein sequencing result. Conclusions:Ionizing radiation can change the protein expression profiles in the esophageal tissues of rats, and these DEPs are involved in multiple radiobiology-related functional pathways such as immune processes, inflammatory responses, and abnormal energy metabolism. Screening and validation of key proteins are helpful for identifying potential biomarkers of radiation-induced esophagitis.