BACKGROUND:BCR/ABL gene is a specific gene of Ph chromosome-positive acute lymphoblastic leukemia,and its expression level has become a sensitive indicator for monitoring minimal residual disease before and after allogeneic hematopoietic stem cell transplantation.However,whether the expression level of BCR/ABL gene before transplantation affects the efficacy of transplantation and how to guide the early intervention of relapse with tyrosine kinase inhibitors after transplantation is still inconclusive.OBJECTIVE:To explore the relationship between BCR/ABL gene expression and recurrence in patients with Ph chromosome positive acute lymphoblastic leukemia before and after related and allogeneic hematopoietic stem cell transplantation.METHODS:Twenty-four patients with Ph chromosome positive acute lymphoblastic leukemia who achieved complete hematological remission and underwent allogeneic hematopoietic stem cell transplantation were selected at the Affiliated Hospital of North China University of Science and Technology between January 2015 and December 2022.Real time fluorescence quantitative polymerase chain reaction was used to dynamically detect the expression levels of BCR/ABL genes during treatment,representing minimal residual disease.Based on BCR/ABL gene expression,tyrosine kinase inhibitors combined with chemotherapy was administered before transplantation to select the timing of allogeneic hematopoietic stem cell transplantation.After transplantation,the disease status was evaluated to guide the use of tyrosine kinase inhibitors,and an early intervention plan for recurrence was developed.RESULTS AND CONCLUSION:Follow-up was until December 2023,with a median follow-up time of 49(12-82)months.There were 8 cases of hematological recurrence,with a median recurrence time of 14(8-39)months and a cumulative recurrence rate of 33％(8/24).Univariate analysis showed that recurrence after allogeneic hematopoietic stem cell transplantation was not significantly correlated with gender,age,extramedullary complications,time from diagnosis to transplantation,HLA typing,acute graft-versus-host disease,and chronic graft-versus-host disease(P＞0.05).There was a significant correlation between the relief treatment course and minimal residual disease levels before transplantation.The second hematology completely resolution and positive minimal residual disease before transplantation had a higher hematological recurrence rate(P＜0.05).The 3-year cumulative recurrence rate,disease-free survival rate,and overall survival rate were 27％,63％,and 74％;the 5-year cumulative recurrence rate,disease-free survival rate,and overall survival rate were 38％,57％,and 74％,respectively.It is concluded that Ph chromosome positive acute lymphoblastic leukemia patients with BCR/ABL gene positive before transplantation have a higher recurrence rate.BCR/ABL gene expression after transplantation can guide the application of tyrosine kinase inhibitors and serve as a basis for early intervention in recurrence.

BACKGROUND:Cellular senescence,which triggers the aging process of physiological decline in the body,is closely related to osteoporosis.With the development of aging research,significant progress has been made in the study of targeted clearance of senescent cells.Accordingly,senolytic cell therapy for osteoporosis based on this has attracted increasing attention.Current research on the association between aging and osteoporosis shows the characteristic of multidisciplinary intersection.However,existing reviews are mostly based on a single database(such as PubMed)and lack a systematic comparative analysis of Chinese and English literature.Therefore,it is of great academic value to integrate resources from multiple databases and systematically reveal the research status and hot trends of aging in the field of osteoporosis research.OBJECTIVE:To summarize the development,current status,hotspots,and future trends of research on aging in the field of osteoporosis over the past 20 years,so as to provide references for future related research.METHODS:We searched for research literature on the correlation between aging and osteoporosis in CNKI,WanFang,VIP and Web of Science Core Database.The search time span was from August 1,2004 to September 24,2024.Then,we used NoteExpress 4.0 for data cleaning and CiteSpace 6.3R1(Advanced)and Excel(2024)for literature analysis.RESULTS AND CONCLUSION:Since 2004,research on the correlation between aging and osteoporosis has shown a significant growth trend.Bibliometric analysis shows that(as of September 2024),and 1 275 English documents and 151 Chinese documents have been published,with the highest number of publications in China and the United States.In terms of publishing institutions,the Mayo Clinic ranked first,followed by Shanghai Jiao Tong University and the University of California system.As for core authors,Sundeep Khosla and Joshua Nicholas Farr were the authors with the most publications and citations,while Pei Lingpeng and Hui Bodi were the most worthy of attention in Chinese literature.After the keywords"aging"and"osteoporosis"and their synonyms were excluded,it was found that cellular senescence,senescence-associated secretory phenotype,signaling pathways,and targeted senolytic cell clearance therapy haven been the current research hotspots and theoretical frontiers.

BACKGROUND:Rapid and accurate segmentation of brain tissue in medical images is of great significance for three-dimensional biomechanical modeling and diagnosis of craniocerebral injuries.Currently,artificial intelligence(AI)-based baseline models exhibit excellent generalization capabilities on large-scale datasets.However,due to the specificity and complexity of craniocerebral tissues,these models have certain limitations in their application to craniocerebral tissue segmentation.Additionally,the scarcity of craniocerebral tissue samples makes it difficult for baseline models to achieve precise segmentation results through fine-tuning.OBJECTIVE:To construct a craniocerebral tissue segmentation model based on texture feature retrieval enhancement to improve segmentation accuracy under a small number of samples.METHODS:Segment Anything in Medical Images(MedSAM)model was selected as the basic framework,and texture features were combined with deep learning to build a brain tissue segmentation model based on texture feature retrieval enhancement(DP-MedSAM).Dice Coefficient and mean intersection over union(MIoU)were selected to evaluate the efficiency of image segmentation results.In comparison with the original MedSAM model,the ablation experiment systematically evaluated the influence of key components on the model performance.The sensitivities of MedSAM,the Segment Anything Model(SAM)for medical image segmentation(SAM-Med2D)and DP-MedSAM in the mandible,left optic nerve,and left parotid gland were compared.RESULTS AND CONCLUSION:(1)By verifying the impact of the number of point prompts on segmentation results on the HaN-Seg dataset,the experimental results indicated that the optimal Dice score was achieved with the addition of three points.(2)DP-MedSAM demonstrated performance improvements compared with MedSAM and SAM-Med2D on two datasets(HaN and Public Domain Database for Computational Anatomy).Especially on the Public Domain Database for Computational Anatomy dataset,in terms of the MIoU metric,DP-MedSAM outperformed MedSAM by 6.59％and SAM-Med2D by 37.35％;in terms of the Dice metric,DP-MedSAM outperformed MedSAM and SAM-Med2D by 4.34％and 25.32％,respectively.(3)The ablation experiment results showed that removing the texture feature extraction module in the DP-MedSAM model,relying solely on original image features,led to a significant decrease in results on the test set.Furthermore,removing the vector cache database and its retrieval enhancement function from the model,which deprived the ability of the model to perform similarity retrieval using an external knowledge base,further reduced model performance.(4)Under conditions of limited data resources,the DP-MedSAM model outperformed the other two models in all evaluation metrics.The DP-MedSAM model performed excellently when processing simple and moderately difficult samples,demonstrating a clear advantage over the other two models and indicating good generalization ability.Processing the fine structures of difficult samples placed higher demands on the model's segmentation capabilities.Although the performance of the DP-MedSAM model declined slightly,it still outperformed the other two models.(5)This study proposes an innovative craniocerebral tissue segmentation model,DP-MedSAM,which improves the baseline model's performance in capturing local details and global structural information in medical images by introducing target region texture feature extraction.Through vector similarity retrieval technology,DP-MedSAM can retrieve the feature vector most similar to the current target region from a pre-constructed vector database,providing more precise guiding information for the segmentation process.

BACKGROUND:3D-printed bone tissue engineering scaffolds have obvious advantages in the research and clinical treatment of bone defect repair.As one of the important raw materials for 3D printed bone scaffolds,poly-L-lactic acid has a great potential for application in performing bone defect repair,but clinical patients with different bone defect causative factors have different requirements for the comprehensive performance of poly-L-lactic acid bone scaffolds.OBJECTIVE:To summarize and review the development of 3D printing technology and poly-L-lactic acid scaffolds and the design strategies chosen for scaffolds for bone repair in the setting of bone diseases such as osteomyelitis,bone tumor,osteonecrosis,and osteoporosis.METHODS:Literature from CNKI,WanFang,PubMed,Science Direct,and Web of Science databases were searched and screened from 1994 to 2024.Search terms were"3D printing,polylactic acid,bone tissue engineering scaffold,osteomyelitis,bone tumor,osteonecrosis,osteoporosis,bone defect"in Chinese and English.The screened 62 articles were systematically summarized and analyzed.RESULTS AND CONCLUSION:(1)Poly-L-lactic acid is considered to be an ideal raw material for artificial bone scaffold design due to its non-toxicity,processability,biocompatibility,and ability to self-degrade in the human environment.The application of 3D printing technology has enabled poly-L-lactic acid bone scaffolds to meet the multilayered and porous structural design requirements of biomimetic artificial bone repair materials,and to optimize the mechanical properties for better bone repair.(2)According to different bone disease microenvironments,timely adjustment of the functional design of poly-L-lactic acid scaffolds is important for the comprehensive osteogenic efficacy of the scaffolds.The article discusses the application of poly-L-lactic acid scaffolds in bone disease environments such as osteomyelitis,bone tumor,osteonecrosis,and osteoporosis,and highlights the importance of rationally grasping the timing of bone disease treatment and bone tissue regeneration for bone defects caused by different bone diseases.(3)Although poly-L-lactic acid scaffolds show potential in bone repair,there are still some problems,such as the need to further optimize the structural design of the scaffolds to fit new bone regeneration,enhance the bioactivity of the scaffolds,and take into account other functions(e.g.,antimicrobial,anti-tumor,and anti-osteoporosis)in order to adapt to the needs of bone tissue repair in different pathological environments.

Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

[摘 要] 目的：探究甘氨胆酸（GCA）对肺腺癌A549细胞移植瘤小鼠放射治疗敏感性的影响及其机制。方法：建立A549人肺腺癌细胞裸鼠移植瘤模型，随机分为移植瘤对照组（对照组）、GCA组、放疗组（RT组）和GCA + 放疗组（GCA + RT组）。RT组和GCA + RT组接受单次10  Gy照射，GCA组及GCA + RT组连续7 d每日灌胃GCA 280  mg/kg。间隔2 d测量1次移植瘤体积，末次给药后处死小鼠并取移植瘤组织，检测移植瘤组织中超氧化物歧化酶（SOD）与谷胱甘肽过氧化物酶（GSH-Px）活性，qPCR法和WB法分别检测放疗关键基因（MCM6、ITGA6、CASP3等）mRNA和蛋白表达水平，H-E染色观察移植瘤组织的形态变化。通过GEO（GSE276500、GSE294906、GSE218171）及TCGA数据库数据验证放疗关键基因。结果：GCA单用对瘤体生长有一定抑制作用，但联合放疗的GCA + RT组相比单纯放疗组表现出放疗抵抗的效应（P < 0.05）。GCA处理显著提高移植瘤组织SOD活性（P < 0.01）、降低GSH-Px活性（P < 0.01），提示GCA可改变移植瘤抗氧化酶平衡，减弱放疗诱导的氧化应激。GCA干预上调移植瘤组织中MCM6与ITGA6 mRNA表达、下调CASP3 mRNA表达（均P < 0.05）。GCA + RT组移植瘤组织中的MCM6蛋白表达显著高于对照组（P < 0.05）。H-E染色显示，GCA组部分瘤组织坏死，而GCA + RT组坏死组织面积较RT组有所缩小。GEO和TCGA数据库验证支持MCM6、ITGA6高表达与放疗抵抗和预后不良相关。结论：GCA通过增强SOD活性、降低GSH-Px活性并上调ITGA6、MCM6的表达改变氧化应激与关键信号网络，从而削弱A549移植瘤对放疗的敏感性。

Panvascular diseases represent systemic vascular disorders characterized by atherosclerosis as their core pathological feature. Their incidence rates continue to rise， posing significant challenges for clinical management. Based on Traditional Chinese Medicine （TCM） theory of ''positive deficiency phlegm stasis''， this study delved into the pivotal role of mitochondrial homeostasis dysregulation in the pathogenesis and progression of pan-vascular diseases， along with its intrinsic connection to TCM pathogenesis. Mitochondrial homeostasis dysregulation pervades the entire course of these diseases， with mitochondrial oxidative stress serving as the initiating factor. Excessive reactive oxygen species （ROS） trigger endothelial dysfunction， lipid accumulation， and inflammatory initiation. Additionally， the imbalance between mitochondrial autophagy and apoptosis constitutes a pivotal link in disease progression. Excessive or insufficient autophagy may lead to the accumulation of damaged mitochondria and excessive cellular apoptosis， thereby promoting plaque instability. Furthermore， mitochondrial metabolic reprogramming impairs energy supply and function in vascular wall cells， hindering subsequent vascular repair. These pathological processes constitute the microscopic manifestation of the core pathogenesis， which is characterized by ''the intermingle of phlegm and stasis and the deficiency of healthy Qi''. Specifically， the endogenous phlegm-turbidity drives mitochondrial oxidative stress injuries， the mutual entanglement of phlegm and stasis induces an imbalance between mitochondrial autophagy and apoptosis， while deficiency of healthy Qi propels mitochondrial energy metabolism disorders and reprogramming. In view of this， this study proposed to employ phlegm-resolving and turbidity-clearing methods to mitigate mitochondrial oxidative stress injuries， phlegm-resolving and blood-activating methods to regulate mitochondrial autophagy and apoptosis， and spleen-tonifying and kidney-nourishing methods to modulate mitochondrial metabolic reprogramming. This approach can prevent and treat panvascular diseases by multi-target regulation of mitochondrial homeostasis， providing a theoretical framework and therapeutic strategies for the prevention and treatment of panvascular diseases through integrated Chinese and Western medicine.

Liver transplantation is the preferred treatment for end-stage liver disease, but recipients require long-term immunosuppressive therapy to control rejection, which may lead to complications and affect their long-term survival. Immune tolerance refers to the ability of organ transplant recipients to maintain their immune system's tolerance to the graft without relying on long-term immunosuppressants. Immune tolerance is an ideal goal pursued in the field of organ transplantation, which can reduce adverse drug reactions and improve long-term survival rates. Cell therapy has emerged as a promising strategy to induce such tolerance after liver transplantation. Therefore, this article reviews the application progress of cell therapies such as regulatory T cells, regulatory dendritic cells, mesenchymal stem cells, hematopoietic stem cells, etc. in inducing immune tolerance after liver transplantation, in order to provide reference for the clinical application of immune tolerance induction after liver transplantation.

ObjectiveThis paper aims to study the potential active compound components and action mechanism of Shenqi Dihuangtang in the treatment of diabetic kidney disease （DKD） through network pharmacology and in vivo experimental verification. MethodsUltra-high-performance liquid chromatography-Q-exactive orbitrap mass spectrometry （UPLC-Q-Exactive Orbitrap MS） technology was used to clarify the main active chemical components of Shenqi Dihuangtang， and it was combined with network pharmacology methods such as gene ontology （GO） functional annotations and Kyoto encyclopedia of genes and genome （KEGG） to predict the potential action mechanism of Shenqi Dihuangtang in treating DKD. Subsequently， the DKD model of db/db male mice was established， and the mice were randomly divided into model group， low-dose Shenqi Dihuangtang group （6.10 g·kg^-1）， medium-dose Shenqi Dihuangtang group （12.19 g·kg^-1）， high-dose Shenqi Dihuangtang group （24.38 g·kg^-1）， and daplizin group （1.25 mg·kg^-1）. During the same period， C57BL/6J male mice were selected into normal group and received drug intervention for 8 weeks， respectively. During this period， the body weight and fasting blood glucose （FBG） of the mice were dynamically monitored， and oral glucose tolerance test （OGTT） and insulin tolerance test （ITT） were performed at the end of dosing. The levels of serum creatinine （SCr）， blood urea nitrogen （BUN）， uric acid （UA）， albumin （ALB）， and total protein （TP） were measured by an automatic biochemical analyzer， and 24-hour urine protein was measured by a urine protein quantitative kit. Hematoxylin-eosin （HE）， periodic-acid Schiff （PAS）， and Masson staining were employed to observe the renal histopathology. The expression of nephrotic protein Nephrin was observed by immunohistochemistry. Western blot was used to detect the expression of epithelial-mesenchymal transition （EMT）-related proteins such as TGF-β₁， Smad2/3， α-smooth muscle actin （α-SMA）， neural-cadherin （N-Cadherin）， and snail protein. ResultsUPLC-Q-Exactive Orbitrap MS identified 384 active compounds in the aqueous extract of Shenqi Dihuangtang. According to oral bioavailability≥30% and the five drug-like principles， 44 key active ingredients were screened out， and 169 intersection targets highly correlated with DKD were matched. Among them， there was a significant interaction relationship between tumor necrosis factor（TNF）， interleukin（IL）-6， protein kinase B（Akt）1， Caspase-3， Jun proto-oncogene （JUN）， hypoxia inducible factor-1α（HIF-1α）， B cell lymphoma-2（Bcl-2）， matrix metallopeptidase-9（MMP-9）， IL-1β， and TGF-β₁. GO functional annotations were significantly enriched in cellular components such as membrane rafts， membrane microdomains， and collagen-containing extracellular matrix， molecular functions such as DNA-binding transcription factor binding， R-Smad binding， and Smad protein binding， as well as biological processes such as reactions to lipopolysaccharides（LPS）， reactions to bacteria-derived molecules， and wound healing. The KEGG pathway was significantly enriched in lipids and atherosclerosis， TGF-β signaling pathway， phosphatidylinositol 3 kinase （PI3K）/Akt signaling pathway， etc. In vivo experimental results showed that the high-dose Shenqi Dihuangtang group could significantly reduce FBG levels in db/db mice （P<0.01）， improve OGTT （P<0.01） and ITT （P<0.01） levels， reduce SCr （P<0.01）， BUN （P<0.01）， UA （P<0.01） and 24-hour BUN （P<0.01）， and increase ALB （P<0.01） and TP （P<0.01） levels. Pathological staining confirmed that the high-dose Shenqi Dihuangtang group could significantly reduce the glomerular mesangial matrix area and collagen deposition （P<0.01） and upregulate the positive expression rate of Nephrin （P<0.01）. Western blot results showed that the high-dose Shenqi Dihuangtang group significantly downregulated the expression of TGF-β₁ （P<0.01） and Smad2/3 （P<0.01） signal molecules and inhibited the protein levels of α-SMA （P<0.01）， N-Cadherin （P<0.01）， and Snail （P<0.01）. ConclusionShenqi Dihuangtang can inhibit the TGF-β₁/Smad signaling axis and block the renal EMT process， thereby improving DKD renal fibrosis damage. Further analysis of its key active components and clinical transformation pathways is needed in the future.

ObjectiveTo identify potential influencing factors of urate crystal deposition at ankle/foot in patients with hyperuricemia （HUA）， and to analyze the predictive value of inflammatory indicators for urate crystal deposition in patients with different traditional Chinese medicine （TCM） syndromes， so as to provide potential reference for clinical risk assessment and individualized TCM intervention. MethodsA retrospective study was carried out with the enrollment of 231 HUA patients from The Third Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine between January 2021 and December 2024. The enrolled patients were further divided into a crystal deposition-positive group （143 cases） and a crystal deposition-negative group （88 cases） according to the results of dual-energy computed tomography （CT）. Sociodemographic data， living habits， serum uric acid levels， and inflammatory indicators of the enrolled patients were collcted， and TCM syndrome differentiation was performed. Furthermore， univariate analysis was used to compare inter-group differences in clinical characteristics. MMultivariate Logistic regression was applied to identify the influencing factors of urate crystal deposition. In addition， the receiver operating characteristic （ROC） curves were plotted to evaluate the predictive efficacy of inflammatory indicators for crystal deposition across different TCM syndromes. ResultsThere were statistically significant inter-group differences in the proportion of males， age， body mass index， proportion of mental labor， rate of low water intake， and rate of high-sugar beverage consumption （P<0.05），whereas no significant difference in low exercise intensity was found between the two groups. Furthermore， compared with the negative group， the positive group had higher serum uric acid level， neutrophil-to-lymphocyte ratio （NLR）， and platelet-to-lymphocyte ratio （PLR）， but lower systemic immune-inflammation index （SIRI） （P<0.05）. Regarding the distribution of TCM syndromes， the positive group was dominated by the dampness-heat accumulation syndrome （55/143，38.46%）， while the negative group was mainly characterized by the phlegm-turbidity obstruction syndrome （44/88，50.00%）. Multivariate Logistic regression analysis revealed that high-sugar beverage consumption， elevated NLR， and elevated PLR were risk factors for urate crystal deposition ［odd ratio （OR） = 8.002， 5.377， 1.034， respectively； 95% CI 1.572-40.732， 2.179-13.270， 1.013-1.054，all P<0.05］， while SIRI was a protective factor （OR = 0.869， 95% CI 0.778-0.971， P<0.05）. In the positive group， patients with the dampness-heat accumulation syndrome exhibited the highest NLR， while the lowest PLR and SIRI， showing statistically significant differences with those of other syndromes （all P<0.05）. In addition， ROC curve analysis indicated that for the dampness-heat accumulation syndrome， the combined "NLR + PLR" model had an area under the curve （AUC） of 0.901 （95% CI 0.850-0.951， P<0.01）， with a sensitivity of 89.1% and a specificity of 79.5%； for the blood stasis-heat obstruction syndrome， the combined "NLR + PLR" model had an AUC of 0.880 （95% CI 0.825-0.934， P<0.01）， with a sensitivity of 100.0% and a specificity of 67.3%； for the liver-kidney Yin-deficiency syndrome， the single PLR model had an AUC of 0.842 （95% CI 0.731-0.952， P<0.01）， with a sensitivity of 83.3% and a specificity of 84.0%. ConclusionUrate crystal deposition in HUA patients exhibits intimate associations with high-sugar beverage consumption as well as elevated NLR and PLR levels. Meanwhile， TCM syndrome differentiation has potential correlation with inflammatory characteristics. The inflammatory indicator-based prediction model constructed based on TCM syndromes exhibits good predictive value.