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.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

Objective To explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). Methods A systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST). Results A total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high, and the overall applicability was unclear. Conclusion The exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.

Objective To explore the relationship between PANoptosis and hepatic ischemia-reperfusion injury (HIRI), and to screen the key genes of PANoptosis in HIRI. Methods PANoptosis-related differentially expressed genes (PDG) were obtained through the Gene Expression Omnibus database and GeneCards database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were used to explore the biological pathways related to PDG. A protein-protein interaction network was constructed. Key genes were selected, and their diagnostic value was assessed and validated in the HIRI mice. Immune cell infiltration analysis was performed based on the cell-type identification by estimating relative subsets of RNA transcripts. Results A total of 16 PDG were identified. GO analysis showed that PDG were closely related to cellular metabolism. KEGG analysis indicated that PDG were mainly enriched in cellular death pathways such as apoptosis and immune-related signaling pathways such as the tumor necrosis factor signaling pathway. GSEA results showed that key genes were mainly enriched in immune-related signaling pathways such as the mitogen-activated protein kinase (MAPK) signaling pathway. Two key genes, DFFB and TNFSF10, were identified with high accuracy in diagnosing HIRI, with areas under the curve of 0.964 and 1.000, respectively. Immune infiltration analysis showed that the control group had more infiltration of resting natural killer cells, M2 macrophages, etc., while the HIRI group had more infiltration of M0 macrophages, neutrophils, and naive B cells. Real-time quantitative polymerase chain reaction results showed that compared with the Sham group, the relative expression of DFFB messenger RNA in liver tissue of HIRI group mice increased, and the relative expression of TNFSF10 messenger RNA decreased. Cibersort analysis showed that the infiltration abundance of naive B cells was positively correlated with DFFB expression (r=0.70, P=0.035), and the infiltration abundance of M2 macrophages was positively correlated with TNFSF10 expression (r=0.68, P=0.045). Conclusions PANoptosis-related genes DFFB and TNFSF10 may be potential biomarkers and therapeutic targets for HIRI.

OBJECTIVE To conduct a reevaluation of the systematic review （SR）/meta-analysis on the use of Xianling gubao capsules （XLGBC） for knee osteoarthritis （KOA）， and provide evidence-based support for the clinical use of the drugs. METHODS Computerized searches including CNKI， Wanfang Data， VIP， China Biomedical Literature Database， the Cochrane Library， PubMed， Embase and Web of Science were conducted to collect systematic reviews （SR） or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st， 2024. The report quality， methodological quality， risk of bias and evidence quality were assessed using the PRISMA 2020 statement， AMSTAR 2 scale， ROBIS tool and GRADE tool， respectively. A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed. RESULTS A total of five SR/meta-analyses were included. The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete （21 points）， while four studies had deficiencies （18-20 points）. The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low. According to the ROBIS tool evaluation， the risk of comprehensive bias in all five studies was classified as high. GRADE tool evaluation revealed that among 49 outcome indicators， 5 （10.2%） were rated as moderate-quality evidence （10.2%）， 12 as low-quality evidence （24.5%）， and 32 as very low-quality evidence （65.3%）. The results of comprehensive quality analysis showed that the clinical efficacy， visual analogue scale score， pain relief time， comprehensive indexes of knee joint function， the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone （P＜0.05）. CONCLUSIONS Compared with conventional treatment， XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages. However， due to the low quality of evidence for the outcome indicators included in the studies， the conclusions should be interpreted with caution.

OBJECTIVE To conduct a reevaluation of the systematic review （SR）/meta-analysis on the use of Xianling gubao capsules （XLGBC） for knee osteoarthritis （KOA）， and provide evidence-based support for the clinical use of the drugs. METHODS Computerized searches including CNKI， Wanfang Data， VIP， China Biomedical Literature Database， the Cochrane Library， PubMed， Embase and Web of Science were conducted to collect systematic reviews （SR） or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st， 2024. The report quality， methodological quality， risk of bias and evidence quality were assessed using the PRISMA 2020 statement， AMSTAR 2 scale， ROBIS tool and GRADE tool， respectively. A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed. RESULTS A total of five SR/meta-analyses were included. The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete （21 points）， while four studies had deficiencies （18-20 points）. The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low. According to the ROBIS tool evaluation， the risk of comprehensive bias in all five studies was classified as high. GRADE tool evaluation revealed that among 49 outcome indicators， 5 （10.2%） were rated as moderate-quality evidence （10.2%）， 12 as low-quality evidence （24.5%）， and 32 as very low-quality evidence （65.3%）. The results of comprehensive quality analysis showed that the clinical efficacy， visual analogue scale score， pain relief time， comprehensive indexes of knee joint function， the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone （P＜0.05）. CONCLUSIONS Compared with conventional treatment， XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages. However， due to the low quality of evidence for the outcome indicators included in the studies， the conclusions should be interpreted with caution.

In order to explore the possible role and molecular mechanism of the combined action of leech and bear bile in liver and gallbladder diseases, this study first used network pharmacology methods to screen the components and targets of leech and bear bile, as well as the related target genes of liver and gallbladder diseases. The selected key genes were subjected to interaction network and GO/KEGG enrichment analysis. Then, using sodium oleate induced HepG2 cell lipid deposition model and DL-ethionine induced mouse fatty liver model, the activity of leech and bear bile alone and in combination in reducing liver fat was evaluated in vitro and in vivo, and the expression of key pathway related proteins suggested by network pharmacology was detected by Western blot. The results of network pharmacology analysis showed that the active ingredients of leech and bear bile have 295 intersecting targets with liver and gallbladder related diseases, involving more than 200 signaling pathways, including the PI3K/Akt signaling pathway and phospholipase D signaling pathway closely related to glucose and lipid metabolism. The results of in vitro validation experiments showed that both leech and bear bile, alone and in combination, can significantly inhibit the lipid deposition induced by sodium oleate in human liver cells, reduce the triacylglycerol level in cell culture supernatant, and inhibit the lipid content in liver cells. The observation results of Nile red staining confocal microscopy showed that the combination of leech and bear bile had better activity in reducing lipid deposition in liver cells compared to using them alone. In a mouse fatty liver model, the combination of leech and bear bile can better reduce elevated organ indices, blood lipids, and liver lipid levels, as well as lower the levels of serum liver injury biomarkers. The animals used in this experiment and related disposal meet the requirements of animal welfare. Before the experiment, it was reviewed and approved by IACUC, Institute of Materia Medica, Chinese Academy of Medical Sciences. The Western blot experiment results showed that the combination of leech and bear bile can significantly upregulate the expression levels of p-PI3K and p-Akt proteins, and increase the p-PI3K/PI3K and p-Akt/Akt ratios, which is consistent with the predicted results of network pharmacology. The combination of leech and bear bile has great potential for treating fatty liver disease, and activating the PI3K/Akt pathway may be one of the important mechanisms for reducing lipid deposition in liver cells.

As an exclusive Miao medicine of Honwing Pharma （Guizhou） Co. Ltd.， Yifei Zhike capsules are both a prescription drug and an over-the-counter （OTC） drug. Its main ingredients include Ranunculus ternatus and Panax notoginseng. With the effects of nourishing Yin and moistening the lungs， as well as relieving cough and reducing phlegm， Yifei Zhike capsules are often used in the treatment of acute and chronic bronchitis， pulmonary tuberculosis， and other diseases. However， there is insufficient understanding of their efficacy， suitable syndromes， and safety in clinical practice， with a lack of relevant expert consensus on clinical application. To standardize their clinical application， 30 experts from the fields of respiratory medicine， pharmacy， and evidence-based medicine were invited to develop an Expert Consensus on the Clinical Application of Yifei Zhike Capsules （Consensus for short） through evidence-based medicine methods. The Consensus clarified the syndrome characteristics， disease stages， dosages， treatment courses， combined medication， and other norms in the treatment of acute/chronic bronchitis and pulmonary tuberculosis and could be applicable to clinical physicians and pharmacists in medical and health institutions at all levels. In disease diagnosis， it provided diagnostic criteria for traditional Chinese medicine and Western medicine and clarified that the suitable traditional Chinese medicine syndrome was the syndrome of Qi-Yin deficiency with intermingled phlegm-blood stasis. Clinical studies have confirmed that Yifei Zhike capsules combined with standard anti-tuberculosis therapy can effectively improve the symptoms of pulmonary tuberculosis patients， increase the sputum smear conversion rate， and promote the absorption of lesions. When treating acute cough caused by respiratory tract infections， Yifei Zhike capsules can increase the markedly effective rate and the seven-day disappearance rate of cough symptoms. Meanwhile， recommendations for specific usage， dosages， and treatment courses were given for different diseases， and it was pointed out that long-term medication required key monitoring of adverse reactions. In safety， the adverse reactions of Yifei Zhike capsules involved multiple aspects such as the digestive system and allergic reactions， and pregnant women and women during menstruation were prohibited from using it. In addition， modern research has shown that Yifei Zhike capsules have an adjuvant therapeutic effect on tuberculous pleurisy and may be effective for inflammatory and benign pulmonary nodules. However， further research should be conducted on the toxicological safety of long-term medication. The formulation of the Consensus provides a scientific basis for the rational clinical application of Yifei Zhike capsules， which helps to improve clinical efficacy and reduce medication risks.

As an exclusive Miao medicine of Honwing Pharma （Guizhou） Co. Ltd.， Yifei Zhike capsules are both a prescription drug and an over-the-counter （OTC） drug. Its main ingredients include Ranunculus ternatus and Panax notoginseng. With the effects of nourishing Yin and moistening the lungs， as well as relieving cough and reducing phlegm， Yifei Zhike capsules are often used in the treatment of acute and chronic bronchitis， pulmonary tuberculosis， and other diseases. However， there is insufficient understanding of their efficacy， suitable syndromes， and safety in clinical practice， with a lack of relevant expert consensus on clinical application. To standardize their clinical application， 30 experts from the fields of respiratory medicine， pharmacy， and evidence-based medicine were invited to develop an Expert Consensus on the Clinical Application of Yifei Zhike Capsules （Consensus for short） through evidence-based medicine methods. The Consensus clarified the syndrome characteristics， disease stages， dosages， treatment courses， combined medication， and other norms in the treatment of acute/chronic bronchitis and pulmonary tuberculosis and could be applicable to clinical physicians and pharmacists in medical and health institutions at all levels. In disease diagnosis， it provided diagnostic criteria for traditional Chinese medicine and Western medicine and clarified that the suitable traditional Chinese medicine syndrome was the syndrome of Qi-Yin deficiency with intermingled phlegm-blood stasis. Clinical studies have confirmed that Yifei Zhike capsules combined with standard anti-tuberculosis therapy can effectively improve the symptoms of pulmonary tuberculosis patients， increase the sputum smear conversion rate， and promote the absorption of lesions. When treating acute cough caused by respiratory tract infections， Yifei Zhike capsules can increase the markedly effective rate and the seven-day disappearance rate of cough symptoms. Meanwhile， recommendations for specific usage， dosages， and treatment courses were given for different diseases， and it was pointed out that long-term medication required key monitoring of adverse reactions. In safety， the adverse reactions of Yifei Zhike capsules involved multiple aspects such as the digestive system and allergic reactions， and pregnant women and women during menstruation were prohibited from using it. In addition， modern research has shown that Yifei Zhike capsules have an adjuvant therapeutic effect on tuberculous pleurisy and may be effective for inflammatory and benign pulmonary nodules. However， further research should be conducted on the toxicological safety of long-term medication. The formulation of the Consensus provides a scientific basis for the rational clinical application of Yifei Zhike capsules， which helps to improve clinical efficacy and reduce medication risks.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.