ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

Chronic obstructive pulmonary disease （COPD） is a common disease with a high incidence and mortality rate in the world. It is characterized by chronic inflammation and structural obstruction and is not completely reversible which will lead to shortness of breath caused by air retention and physical exertion. Traditional Chinese medicine proposes the concept of "lung collaterals"， which refers to the collateral vessels scattered throughout the lungs and lung system. The lung collaterals include the pulse collaterals and Qi collaterals. The blood circulation in the pulse collaterals belongs to Yin， distributed internally along the way. The Qi circulation in the Qi collateral belongs to Yang and is distributed externally. In western medicine， the pulse collaterals have an identity with large， medium， and small blood vessels， microvessels， and especially microcirculation. The Qi collateral encompasses systems such as the nervous， endocrine， and immune system. Pulmonary microvascular endothelial cells （HPMECs） are an important component of the pulmonary microvascular endothelium. Recent studies have found that HPMECs are the main damaged cells in the pathogenesis of COPD， mediating the occurrence and development of COPD. Traditional Chinese medicine can regulate HPMECs to treat COPD through multiple components， targets， and pathways， and has the advantage of reducing western medicine resistance and many side effects. Based on the "lung collateral theory"， this paper focused on HPMECs， and elaborated on the new connotation of traditional Chinese medicine in protecting HPMECs to treat COPD， aiming to provide new insights for the clinical treatment of COPD by protecting HPMECs.

Chronic obstructive pulmonary disease （COPD） is a common disease with a high incidence and mortality rate in the world. It is characterized by chronic inflammation and structural obstruction and is not completely reversible which will lead to shortness of breath caused by air retention and physical exertion. Traditional Chinese medicine proposes the concept of "lung collaterals"， which refers to the collateral vessels scattered throughout the lungs and lung system. The lung collaterals include the pulse collaterals and Qi collaterals. The blood circulation in the pulse collaterals belongs to Yin， distributed internally along the way. The Qi circulation in the Qi collateral belongs to Yang and is distributed externally. In western medicine， the pulse collaterals have an identity with large， medium， and small blood vessels， microvessels， and especially microcirculation. The Qi collateral encompasses systems such as the nervous， endocrine， and immune system. Pulmonary microvascular endothelial cells （HPMECs） are an important component of the pulmonary microvascular endothelium. Recent studies have found that HPMECs are the main damaged cells in the pathogenesis of COPD， mediating the occurrence and development of COPD. Traditional Chinese medicine can regulate HPMECs to treat COPD through multiple components， targets， and pathways， and has the advantage of reducing western medicine resistance and many side effects. Based on the "lung collateral theory"， this paper focused on HPMECs， and elaborated on the new connotation of traditional Chinese medicine in protecting HPMECs to treat COPD， aiming to provide new insights for the clinical treatment of COPD by protecting HPMECs.

The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.

The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.

The correlations of global/local properties of brain networks with gambling behavioral scales in depression are explored.The task-state brain functional magnetic resonance imaging data of 24 patients with gambling behavior and depression and 24 healthy controls are analyzed,and preprocessed by SPM software.Graph theory analysis method is used to establish the functional brain networks in which local and global properties are calculated.Two sets of local attribute index including node degree and node efficiency are used to make edge analysis in different depression groups(major,moderate and mild depression groups,with 8 patients in each group)and healthy control group,and the changes in global properties are also discussed.Additionally,the correlations of scoring scale related to gambling behavior with 3 criteria on the global properties(small world attribute,global efficiency and local efficiency)are analyzed.The two-sample t-tests on depression groups and healthy control group confirm the significant connections among brain regions(P＜0.05),and reveal the significant negative correlations between the global brain network attribute indexes and different behavioral scales,which fully verifies the correlation between gambling behavior and depression,and provides the basis for further exploring correlation between the individual behavior attribute and depression,thereby assisting clinical diagnosis and treatment of depression patients.

AIM:To investigate the molecular mechanisms of KG-1 cell proliferation by profiling its responses to various protein kinase inhibitors.METHODS:CCK-8 assay,real time quantitative PCR(qRT-PCR)and Western-blot were used to detect the effect of various protein kinase inhibitors on KG-1 cell proliferation,the expression levels of mRNA and phosphorylation level of signaling pro-teins in the FGFR1 downstream pathways.RE-SULTS:NVP-BGJ398 and PD173074 effectively in-hibited the proliferation of KG-1 cells,indicative of a crucial role of FGFR downstream signaling.After treatment with FGFR inhibitors,the levels of p-FG-FR1OP2-FGFR1 and p-STAT5 decreased significantly(P<0.001),p-AKT decreased slightly(P<0.05),with-out affecting the p-ERK level(P>0.05).CONCLU-SION:FGFR1OP2-FGFR1 mainly acts on the down-stream STAT5 signaling pathway to promote cell proliferation.Comprehensive protein kinase inhibi-tion analysis is a reliable and direct approach to identify functional drivers of cancer cell prolifera-tion.

Cachexia is a common complication in patients with lung cancer. It aggravates the toxic and side effects of chemotherapy, hinders the treatment plan, weakens the responsiveness of chemotherapy, reduces the quality of life, increases complications and mortality, and seriously endangers the physical and mental health of patients with lung cancer. The causes and pathogenesis of tumor cachexia are extremely complex, which makes its treatment difficult and complex. Controlling cachexia in lung cancer patients requires many means such as anti-tumor therapy, inhibition of inflammatory response, nutritional support, physical exercise, and relief of symptoms to exert the synergistic effect of multimodal therapy against multiple mechanisms of tumor cachexia. To date, there has been a consensus within the discipline that no single therapy can control the development of cachexia. Some therapies have made some progress, but they need to be implemented in combination with multimodal therapy after fully assessing the individual characteristics of lung cancer patients. This article reviews the application of drug therapy and nutritional support in lung cancer patients, and looks forward to the research direction of cachexia control in lung cancer patients.
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Cachexia/therapy* ; Combined Modality Therapy ; Humans ; Lung Neoplasms/drug therapy* ; Neoplasms/complications* ; Nutritional Support/adverse effects* ; Quality of Life

The morbidity of inflammatory bowel diseases (IBD) is rising rapidly but no curative therapies to prevent its recurrence. Cell death is crucial to maintaining homeostasis. Necroptosis is a newly identified programmed cell death and its roles played in IBD need to be explored. Necroptosis is mediated by receptor interacting protein kinase 1 (RIPK1), RIPK3, and mixed lineage kinase domain-like protein (MLKL), which resulted in cell swelling, plasma membrane rupture, intracellular content leaking, and eventually cell death as well as the promotion of inflammation. Studies have found that inhibiting necroptosis alleviated IBD in animal models and IBD patients with an increased level of necroptosis in inflammatory tissues, indicating that necroptosis is related to the pathogenesis of IBD. However, due to the complexity in regulation of necroptosis and the involvement of multiple functions of relevant signaling molecules, the specific mechanism remains elusive. Necroptosis may play a vital regulatory role in the pathogenesis of IBD, which provides a new idea and method for further exploring the therapeutic target of IBD.