ObjectiveTo investigate the synergistic inhibitory effect of chidamide （CHI） combined with compound Kushen injection （CKI） on breast cancer MCF-7 cells and to elucidate the potential molecular mechanisms based on transcriptomics analysis. MethodsCell proliferation was detected by the methyl thiazolyl tetrazolium （MTT） assay， and the "one belt and one line" method was adopted to screen the optimal mass concentration for synergistic effect. According to the combination index （CI） values， cells were allocated into the blank， CHI （1.6 mg·L^-1）， CKI （0.4 g·L^-1）， and CHI+CKI （1.6 mg·L^-1+0.4 g·L^-1） groups. Transwell assay was employed to examine cell migration， and flow cytometry to measure cell cycle distribution and apoptosis rate. Transcriptome sequencing （RNA-seq） and weighted gene co-expression network analysis （WGCNA） were performed to screen the key modules highly correlated with the cell inhibition rate. Candidate genes were identified by intersecting module genes with differentially expressed genes （DEGs）， followed by functional enrichment analysis. Western blot was employed to quantify the protein levels of histone deacetylase 1 （HDAC1）， protein kinase A （PKA）， cyclin-dependent kinase inhibitor 1 （p21）， cAMP response element-binding protein （CREB） and its phosphorylated form （p-CREB）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax） in cells of each group. ResultsCompared with the blank group， both CHI and CKI monotherapies inhibited the proliferation of MCF-7 cells in a mass concentration-dependent manner. Compared with the blank and monotherapy groups， CHI+CKI inhibited cell migration， increased the proportion of cells arrested in the G₀/G₁ phase， and elevated the apoptosis rate （P<0.01）. WGCNA identified the MEred module strongly correlated with the inhibition rate （r=0.90， P<0.01）， yielding 97 candidate genes upon intersection with DEGs. Kyoto Encyclopedia of Genes and Genomes （KEGG） analysis indicated significant enrichment of the cAMP signaling pathway. Western blot results showed that compared with the blank group， all treatment groups down-regulated the expression of HDAC1， up-regulated the expression of PKA and p21， and increased the p-CREB/CREB and Bax/Bcl-2 ratios （P<0.01）. Compared with the monotherapy groups， CHI+CKI further up-regulated the PKA and p21 expression and increased the p-CREB/CREB and Bax/Bcl-2 ratios （P<0.01）. ConclusionThe combination of CHI and CKI exerts a significant synergistic anti-tumor effect. CHI exerts epigenetic regulation by inhibiting HDAC1， which， in combination with CKI， may further contribute to the activation of the cAMP/PKA/CREB signaling pathway， leading to up-regulation of p21 expression and the Bax/Bcl-2 ratio， thereby promoting cell cycle arrest and apoptosis.

Cardiac aging is a key factor in the onset and progression of cardiovascular diseases. Investigating the traditional Chinese medicine （TCM） pathogenesis and therapeutic principles of cardiac aging is of great importance for curbing the common phenomenon of the heart aging faster than the body and implementing the national strategy in response to population aging. Essence （Jing）， Qi， and spirit （Shen） are the origin， driving force， and manifestation of life， respectively. The Essence-Qi-spirit theory within the Qi-collateral doctrine delineates the core pathogenesis and therapeutic principles of aging. This framework identifies kidney essence deficiency as the fundamental cause of aging， with primordial Qi depletion as a key factor and the consumption of body and spirit as its manifestations. Corresponding treatment principles involve tonifying the kidney to replenish essence， warming and supporting primordial Qi， and nourishing the body and spirit. During the process of tonifying the kidney， regulating Yin and Yang remains essential. Relevant studies indicate that this theoretical system provides significant guidance for anti-aging research in TCM. Guided by the Essence-Qi-spirit theory within the Qi-collateral doctrine， this paper posits that kidney essence constitutes the material foundation for cardiac development， and primordial Qi acts as the fundamental driver of cardiac function. Physical form and spirit together provide the structural carrier and functional manifestation of the heart. We further propose the core pathogenesis and therapeutic principles for cardiac aging. The fundamental pathogenesis lies in the deficiency and decline of kidney essence， leading to malnourishment of the heart. The key pathogenesis is the deficiency of primordial Qi， resulting in obstruction of the heart collateral. The manifestation involves the accumulation in the collateral and the dysfunction of the heart spirit. The corresponding treatment principles are tonifying the kidney and replenishing essence to nourish the heart， warming and reinforcing primordial Qi to unblock the heart collateral， and fortifying the physical form to invigorate the spirit mechanism. Existing studies demonstrate that Bazi Bushen Capsules， with the effects of tonifying the kidney， replenishing essence， warming primordial Qi， and fortifying the physical form and spirit， can delay cardiac aging. Guided by the Essence-Qi-spirit theory within the Qi-collateral doctrine， these findings support the development of effective herbal formulas to intervene in cardiac aging.

Cardiac aging is a key factor in the onset and progression of cardiovascular diseases. Investigating the traditional Chinese medicine （TCM） pathogenesis and therapeutic principles of cardiac aging is of great importance for curbing the common phenomenon of the heart aging faster than the body and implementing the national strategy in response to population aging. Essence （Jing）， Qi， and spirit （Shen） are the origin， driving force， and manifestation of life， respectively. The Essence-Qi-spirit theory within the Qi-collateral doctrine delineates the core pathogenesis and therapeutic principles of aging. This framework identifies kidney essence deficiency as the fundamental cause of aging， with primordial Qi depletion as a key factor and the consumption of body and spirit as its manifestations. Corresponding treatment principles involve tonifying the kidney to replenish essence， warming and supporting primordial Qi， and nourishing the body and spirit. During the process of tonifying the kidney， regulating Yin and Yang remains essential. Relevant studies indicate that this theoretical system provides significant guidance for anti-aging research in TCM. Guided by the Essence-Qi-spirit theory within the Qi-collateral doctrine， this paper posits that kidney essence constitutes the material foundation for cardiac development， and primordial Qi acts as the fundamental driver of cardiac function. Physical form and spirit together provide the structural carrier and functional manifestation of the heart. We further propose the core pathogenesis and therapeutic principles for cardiac aging. The fundamental pathogenesis lies in the deficiency and decline of kidney essence， leading to malnourishment of the heart. The key pathogenesis is the deficiency of primordial Qi， resulting in obstruction of the heart collateral. The manifestation involves the accumulation in the collateral and the dysfunction of the heart spirit. The corresponding treatment principles are tonifying the kidney and replenishing essence to nourish the heart， warming and reinforcing primordial Qi to unblock the heart collateral， and fortifying the physical form to invigorate the spirit mechanism. Existing studies demonstrate that Bazi Bushen Capsules， with the effects of tonifying the kidney， replenishing essence， warming primordial Qi， and fortifying the physical form and spirit， can delay cardiac aging. Guided by the Essence-Qi-spirit theory within the Qi-collateral doctrine， these findings support the development of effective herbal formulas to intervene in cardiac aging.

As one of the major diseases threatening human health,the early accurate diagnosis and localization of tumors are crucial for formulating effective treatment plans.In recent years,molecular probes(MPs)have made significant progress in the field of biological imaging.With advantages such as high sensitivity,high specificity,and non-invasiveness,they have become a research hotspot in the field of tumor diagnosis and treatment.This paper systematically reviews the applications of MPs in tumor diagnosis and treatment,covering their classifications(such as fluorescent,photoacoustic,chemiluminescent,bioluminescent,and multimodal probes),design strategies(including active/pas-sive targeting mechanisms and the synergistic construction of identification units,imaging units,signal conversion units and treatment units),as well as detection principles.It also focuses on elabo-rating the research progress of MPs based on enzymes,receptors,reactive substances,and tumor microenvironment.Meanwhile,this paper emphasizes the advantages of multifunctional integration and multimodal imaging,and analyzes the challenges faced by MPs in clinical translation(such as biocompatibility and optimization of supporting equipment).It aims to provide ideas for the develop-ment of high-performance MPs and promote the advancement of precise and personalized tumor di-agnosis and treatment.

In recent years, generative artificial intelligence (AI) technologies have achieved remarkable progress in the early screening, risk prediction, disease progression assessment, and clinical trial design of glaucoma.Using advanced algorithms, such as generative adversarial networks, variational autoencoders, and diffusion models, researchers have synthesized high-quality structural images of the optic disc, macular region, and retinal nerve fiber layer, which effectively alleviates the limitations of scarce clinical imaging data and label imbalance.These methods have substantially improved the accuracy and generalization of deep learning models in visual field defect prediction, structure-function mapping, and longitudinal disease progression simulation.Meanwhile, multimodal generative approaches that integrate imaging data, visual field tests, and clinical features have facilitated individualized prediction of glaucoma progression.In addition, large language models have shown preliminary potential in ophthalmic image interpretation, clinical text information extraction, and decision support, providing new insights into intelligent ophthalmic diagnosis and treatment.However, the clinical implementation of generative AI in glaucoma faces challenges.The pathological authenticity and cross-device consistency of generated images require further validation, which may affect the reliability of early glaucoma detection.The heterogeneous characteristics of different glaucoma subtypes, such as open-angle and angle-closure glaucoma, also limit the generalization of synthetic data.Moreover, issues related to model interpretability (" black-box" nature), artifact generation, data privacy, and ethical governance remain key barriers to clinical translation.In the future, it is expected that establishing large-scale training frameworks that incorporate multicenter, multimodal, and multiethnic datasets will enhance model robustness and clinical applicability.Furthermore, generative AI may contribute to remote ophthalmic care and personalized precision therapy by enhancing low-quality image, reconstructing missing data, and simulating dynamic disease courses.This article reviews the current applications, core technologies, and challenges of generative AI in glaucoma diagnosis and management, and discusses its future directions and translational potential in clinical ophthalmology.

In recent years, generative artificial intelligence (AI) technologies have achieved remarkable progress in the early screening, risk prediction, disease progression assessment, and clinical trial design of glaucoma.Using advanced algorithms, such as generative adversarial networks, variational autoencoders, and diffusion models, researchers have synthesized high-quality structural images of the optic disc, macular region, and retinal nerve fiber layer, which effectively alleviates the limitations of scarce clinical imaging data and label imbalance.These methods have substantially improved the accuracy and generalization of deep learning models in visual field defect prediction, structure-function mapping, and longitudinal disease progression simulation.Meanwhile, multimodal generative approaches that integrate imaging data, visual field tests, and clinical features have facilitated individualized prediction of glaucoma progression.In addition, large language models have shown preliminary potential in ophthalmic image interpretation, clinical text information extraction, and decision support, providing new insights into intelligent ophthalmic diagnosis and treatment.However, the clinical implementation of generative AI in glaucoma faces challenges.The pathological authenticity and cross-device consistency of generated images require further validation, which may affect the reliability of early glaucoma detection.The heterogeneous characteristics of different glaucoma subtypes, such as open-angle and angle-closure glaucoma, also limit the generalization of synthetic data.Moreover, issues related to model interpretability (" black-box" nature), artifact generation, data privacy, and ethical governance remain key barriers to clinical translation.In the future, it is expected that establishing large-scale training frameworks that incorporate multicenter, multimodal, and multiethnic datasets will enhance model robustness and clinical applicability.Furthermore, generative AI may contribute to remote ophthalmic care and personalized precision therapy by enhancing low-quality image, reconstructing missing data, and simulating dynamic disease courses.This article reviews the current applications, core technologies, and challenges of generative AI in glaucoma diagnosis and management, and discusses its future directions and translational potential in clinical ophthalmology.

As one of the major diseases threatening human health,the early accurate diagnosis and localization of tumors are crucial for formulating effective treatment plans.In recent years,molecular probes(MPs)have made significant progress in the field of biological imaging.With advantages such as high sensitivity,high specificity,and non-invasiveness,they have become a research hotspot in the field of tumor diagnosis and treatment.This paper systematically reviews the applications of MPs in tumor diagnosis and treatment,covering their classifications(such as fluorescent,photoacoustic,chemiluminescent,bioluminescent,and multimodal probes),design strategies(including active/pas-sive targeting mechanisms and the synergistic construction of identification units,imaging units,signal conversion units and treatment units),as well as detection principles.It also focuses on elabo-rating the research progress of MPs based on enzymes,receptors,reactive substances,and tumor microenvironment.Meanwhile,this paper emphasizes the advantages of multifunctional integration and multimodal imaging,and analyzes the challenges faced by MPs in clinical translation(such as biocompatibility and optimization of supporting equipment).It aims to provide ideas for the develop-ment of high-performance MPs and promote the advancement of precise and personalized tumor di-agnosis and treatment.

Palliative care not only embodies modern life perspectives, but also encompasses significant traditional Chinese cultural elements.The primary objective of palliative care is to alleviate patient suffering, preserve their dignity, and facilitate a peaceful passing.Traditional Chinese medicine, known for its simplicity, accessibility, affordability, and efficacy in disease prevention and treatment, adopts a holistic approach to address systemic pain through personalized treatment based on symptom differentiation.This approach aims to enhance the quality of life for terminally ill patients.To equip palliative care providers with essential clinical skills in traditional Chinese medicine, the National Center of Gerontology and Beijing Palliative Care Guidance Center collaborated with experts and scholars to develop guidelines focusing on common end-of-life symptoms.Through extensive deliberation, expert evaluation, and revisions, this guidance document was crafted as a valuable resource for palliative care practitioners, traditional Chinese medicine clinicians, and researchers in the field.

Objective: To investigate the clinical relevant factors associated with transfusion associated necrotizing enterocolitis (TANEC) in order to reduce the incidence of neonatal necrotizing enterocolitis (NEC). Methods: The clinical data of neonates admitted to the First Hospital of Lanzhou University and received blood transfusion therapy from January 2017 to June 2018 were collected, including perinatal factors, basic conditions of children, and comorbidities.According to the occurrence or absence of NEC within 48 hours after transfusion, the patients were divided into TANEC group and no-TANEC group.The clinical data of the two groups were compared. Results: Univariate analysis showed that there were statistical differences (P<0.05) in the mode of delivery, gestational age, birth weight, neonatal sepsis, patent ductus arteriosus(PDA), neonatal respiratory distress syndrome (NRDS), and anemia.The logistic multivariate analysis revealed that gestational age(P<0.05, OR=0.772, 95%CI: 0.684-0.871), the birth weight(P<0.05, OR=0.236, 95%CI: 0.079-0.711)were protect fators of TANEC, the degree of anemia(mode 1: P<0.05, OR=3.129, 95%CI: 1.003-9.756; mode 2: P<0.05, OR=3.449, 95%CI: 1.024-11.609)and sepsis (mode 1: P<0.05, OR=6.327, 95%CI: 1.732-23.720; mode 2: P<0.05, OR=8.154, 95%CI: 2.122-31.336)were significant risk fators for TANEC. Conclusion The factors leading to the occurrence of TANEC are various.When transfused, the greater the gestational age, the higher the birth weight, the lower the risk of developing NEC.The more severe the combination of neonatal sepsis and anemia, the higher the risk of developing TANEC.Clinically, comprehensive measures should be taken to prevent neonatal anemia.According to the specific conditions of the children and the degree of anemia, a reasonable clinical strategy should be formulated to avoid blood transfusion to reduce the incidence of TANEC and improve the prognosis of the children.

Objective:To evaluate the characteristics and risk factors for blood transfusion in very low birth weight infants(VLBWI).Methods:Clinical data of one hundred VLBWI, hospitalized from July, 2016 to June, 2019, were studied retrospectively.The infants were divided into two groups according to whether they received blood transfusion.The general information, incidence of diseases and treatment measures were compared between two groups.The risk factors influencing the blood transfusion were analyzed.Results:Of the one hundred VLBWI, sixty-nine cases needed blood transfusion.The first time of blood transfusion ranged from one to four weeks after birth, and average number of transfusions was 6 times.Maternal anemia during pregnancy, birth weight, gestational age, hemoglobin and hematocrit at birth, volume of blood taking within two weeks after birth, duration of hospitalization, duration of paraenteral nutrition, delivery method, need for intubation and neonatal respiratory distress syndrome, apnea, bronchopulmonary dysplasia, patent ductus arteriosus showed significant differences between the two groups( P<0.05). Logistic regression analysis revealed that lower gestation( OR=0.386, 95% CI 0.212-0.704, P=0.002), longer duration of hospital stay( OR=2.177, 95% CI 1.170-4.049, P=0.014), prolonged parenteral nutrition( OR=1.195, 95% CI 1.083-1.319, P<0.001), greater volume of blood taking within two weeks after birth ( OR=1.269, 95% CI 1.083-1.487, P=0.003)and cesarean delivery( OR=5.513, 95% CI 1.056-28.770, P=0.043) were associated with increasing risk of blood transfusion in VLBWI. Conclusion:The gestational age, length of hospital stay, blood intake within two weeks after birth, duration of paraenteral nutrition and delivery method all affected the risk of blood transfusion to varying degrees.