Metabolic reprogramming， as one of the core hallmarks of malignant tumors， plays a key role in the occurrence， development and treatment of breast cancer （BC）. Abnormal changes in glucose metabolism， amino acid metabolism， lipid metabolism， as well as the tricarboxylic acid （TCA） cycle and oxidative phosphorylation （OXPHOS） pathways significantly influence the pathogenesis and progression of BC. Studies have shown that various active components of traditional Chinese medicine （TCM） （such as berberine， matrine， quercetin， curcumin， etc.） and their compound formulations （e.g. Xihuang pill， Danzhi xiaoyao powder， Yanghe decoction， etc.） can inhibit the proliferation and migration of BC cells and induce apoptosis by regulating key metabolic pathways such as glycolysis， lipid synthesis， and amino acid metabolism. TCM demonstrates multi-target and holistic regulatory advantages in intervening in BC metabolic reprogramming， showing significant potential in modulating key molecules like hypoxia inducible factor-1α， hexokinase-2， pyruvate kinase M2， lactate dehydrogenase A， glucose transporter-1， fatty acid synthase， and signaling pathways such as AKT/mTOR. However， current researches still focus predominantly on glucose metabolism， with insufficient mechanistic studies on lipid metabolism， amino acid metabolism， the TCA cycle， and OXPHOS. The precise targets， molecular mechanisms， and clinical translation value of these interventions require further validation and clarification through more high-quality experimental studies and clinical trials.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

ObjectiveThis paper aims to investigate the differential mechanisms underlying the staged therapeutic effects of Qijia Rougan formula on liver fibrosis using proteomic technology. MethodsThe staged rat model of liver fibrosis was established by subcutaneous injection of carbon tetrachloride （CCl₄） and olive oil. One hundred and four SD rats were randomized into thirteen groups：a normal group，a two-week model group，a four-week model group，a six-week model group，an eight-week model group，a two-week Qijia Rougan formula group，a four-week Qijia Rougan formula group，a six-week Qijia Rougan formula group，an eight-week Qijia Rougan formula group，a two-week compound Biejia Ruangan tablet group，a four-week Compound Biejia Ruangan Tablet group，a six-week Compound Biejia Ruangan Tablet group，and an eight-week compound Biejia Ruangan tablet group. After two weeks of drug intervention，liver tissue and abdominal aortic blood samples were collected from the rats for testing. Hematoxylin-eosin （HE） staining，Masson staining，and Picro Sirius red staining were used to observe pathological damage and collagen fiber deposition in liver tissues. Immunohistochemistry （IHC） was employed to detect the contents of fibrosis markers in liver tissues. The contents of liver function indicators in the serum were measured using a fully automated biochemical analyzer，and the levels of liver fibrosis indicators in the serum were assessed by enzyme-linked immunosorbent assay （ELISA）. Liver tissues from the normal group，each model group，and each Qijia Rougan formula group were subjected to label-free quantitative proteomic analysis to identify differential proteins among the groups，with key proteins validated by Western blot. Finally，bioinformatics analysis was performed on the differential proteins. Results（1） The staged rat model of liver fibrosis constructed with CCl₄ and olive oil showed pathological results at the 2^nd，4^th，6^th，and 8^th weeks of modeling that were consistent with the Metavir standards for the F1，F2，F3，and F4 stages. Compared with those in the normal control group，the protein expressions of α-smooth muscle actin （α-SMA） and Collagen Ⅰ were significantly increased in each stage （P<0.05）. The levels of liver function indicators in the serum，including alanine aminotransferase （ALT），aspartate aminotransferase （AST），alkaline phosphatase （ALP），direct bilirubin （DBIL），and total bilirubin （TBil） in each model group，were significantly elevated in each stage （P<0.01）. The levels of liver fibrosis indicators in the serum，including procollagen Ⅲ peptide （PⅢP），type Ⅳ collagen（Ⅳ-C），hyaluronic acid （HA），and laminin （LN） in each model group，were significantly increased in each stage （P<0.05，P<0.01）. This study successfully established a staged rat model of liver fibrosis. （2） Compared with the model groups at each stage，the administration groups showed a reduction in hepatocyte ballooning degeneration，a more orderly arrangement of hepatocytes，and a decrease of inflammatory cell infiltration. The blue-stained collagen fibers became significantly thinner and finer，with reduced and narrowed fibrous septa. The areas of collagen fibers and Picro Sirius red staining were reduced （P<0.05）. The positive areas of α-SMA and Collagen Ⅰ expression were significantly decreased （P<0.05）. The levels of ALT，AST，ALP，DBIL，and TBil in the rats of the model groups at each stage were significantly reduced （P<0.05，P<0.01）. The levels of PⅢP，Ⅳ-C，HA，and LN in the rats of the model groups at each stage were significantly decreased （P<0.05）. Among these，the improvements in all indicators were most significant in the F3 stage （P<0.01）.（3） The proteomic results show that a total of 165 differential proteins exhibit a callback trend when comparing the model groups at four stages with the normal group，and when comparing the Qijia Rougan formula group with the model group. Western blot analysis reveals that the levels of NAD（P）H：quinone oxidoreductase 1 （NQO1），mitogen-activated protein kinase 1 （MAPK1），arginase 1 （Arg1），and glutathione S-transferase α1 （GSTA1） were consistent with the proteomic results. Bioinformatics results reveal that 165 differentially expressed proteins are enriched in multiple signaling pathways. Notably，signaling pathways such as drug metabolism-cytochrome P450，arginine biosynthesis，and the peroxisome proliferator-activated receptor （PPAR） signaling pathway were found to be closely associated with liver fibrosis，suggesting that the Qijia Rougan formula may exert its staged regulatory effects on liver fibrosis by regulating these pathways. ConclusionThe Qijia Rougan formula may achieve staged regulation of liver fibrosis by regulating drug metabolism-cytochrome P450，arginine biosynthesis，and the PPAR signaling pathway.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

BACKGROUND:Cervical rotation-traction manipulation is effective and safe in the treatment of cervical spondylotic radiculopathy,and has been widely used in clinical work.However,its effects on the biomechanics of cervical vertebra and intervertebral disc and the area of intervertebral foramen have not been systematically clarified. OBJECTIVE:Based on the finite element analysis technique,a relevant research and analysis were carried out to provide digital evidence for the mechanism of effect of cervical rotation-traction manipulation in the treatment of cervical spondylotic radiculopathy. METHODS:The CT image data of a volunteer with no neck diseases were selected as the finite element model material at its left-handed physiological limit position.The initial construction of the finite element model was completed by Mimics 19.0 software,Geomagic Studio 2013 software,Hypermash 14.0 software,and ANSYS Workbench 2020 R2 software,respectively.Based on the literature,the grid division of cervical structure and the assignment of elastic modulus and elastic coefficient were completed.Based on the previous work of the team,the mechanical effects of cervical rotation-traction manipulation were simulated on the model.Effects of cervical rotation-traction manipulation on the mechanical parameters of each vertebral body and intervertebral disc in C3-T1 segment and on the cervical lateral foramen area were analyzed. RESULTS AND CONCLUSION:(1)During cervical rotation-traction manipulation,the stress of bone structure was significantly higher than that of soft tissue such as intervertebral disc.(2)When operating the technique,the stress at the top of each cervical vertebra was higher,the stress at the bottom was lower,and the stress at the facet joint and transverse process was lower.The stress at the top of the intervertebral disc was lower,the stress at the bottom was higher,but the highest point of the intervertebral disc stress was outside the top.(3)In addition,after loading the lifting force,the projected area of the C6/C7 intervertebral foramen increased significantly compared with that before loading.(4)It is indicated that the cervical rotation-traction manipulation has the mechanical characteristics of changing the stress structure of the cervical spine itself,and can expand the C6/7 intervertebral cervical foramen area on the opposite side of the patient's cervical rotation,so as to achieve the purpose of treating cervical spondylotic radiculopathy.

Lipidomics is an emerging discipline that systematically studies the various types,functions,and metabolic pathways of lipids within living organisms.This field compares changes in diseases or drug impact,identifying biomarkers and molecular mechanisms present in lipid metabolic networks across different physiological or pathological states.Through employing analytical chemistry within the realm of lipidomics,researchers analyze traditional Chinese medicine(TCM).This analysis aids in uncovering potential mechanisms for treating diverse physiopathological conditions,assessing drug efficacy,un-derstanding mechanisms of action and toxicity,and generating innovative ideas for disease prevention and treatment.This manuscript assesses recent literature,summarizing existing lipidomics technologies and their applications in TCM research.It delineates the efficacy,mechanisms,and toxicity research related to lipidomics in Chinese medicine.Additionally,it explores the utilization of lipidomics in quality control research for Chinese medicine,aiming to expand the application of lipidomics within this field.Ultimately,this initiative seeks to foster the integration of traditional medicine theory with modern science and technology,promoting an organic fusion between the two domains.

Objective To investigate the molecular mechanism by which Lichong Xiaozheng Granules(LCXZ)sensitize ovarian cancer to cisplatin(DDP)treatment.Methods LC-MS analysis was used to identify the blood components of LCXZ after its administration in mice via gavage.In a BALB/c mouse model bearing subcutaneous ovarian cancer xenografts,the effects of daily gavage of distilled water(control group),intraperitoneal injection of DDP(5 mg/kg)once a week,or both DDP injection and daily LCXZK gavage(15 g/kg)on tumor growth were evaluated.Histopathological changes in the xenografts and kidneys were assessed with HE staining.RNA-seq was performed to identify the differentially expressed genes followed by KEGG pathway analysis.The changes in mitochondrial ultrastructure and expressions of mitochondrial apoptosis-related were examined with transmission electron microscopy and Western blotting.Results A total of 218 blood-borne components of LCXZ were detected by LC-MS.In the tumor-bearing mice,treatments with DDP and DDP combined with LCXZ redcued the tumor volume by 60.3%and 72.6%compared with that in the control group,respectively.Transcriptomic analysis revealed significantly upregulated ANT3 expression in both the two treatment groups.Molecular docking indicated that the main active components of LCXZ were capable of binding to adenine nucleotide translocator 3(ANT3)with binding energies below-6 kcal/mol.Transmission electron microscopy showed obvious mitochondrial swelling and outer-membrane damage in the tumor cells in DDP-treated mice,and these changes were more pronounced in the combined treatment group.The expression levels of BAX,ANT3,cleaved caspase-3 and cleaved caspase-9 were increased,whereas BCL-2 expression was decreased significantly in the tumor cells in both the DDP and DDP+LCXZ groups.Conclusion LCXZ enhances the therapeutic efficacy of cisplatin against ovarian cancer xenografts in mice by promoting mitochondrial dysfunction and activating apoptotic signaling pathways via upregulating ANT3.

Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data,these models showcase remarkable efficacy across various tasks,including new drug design and drug target identification.The adaptability of pre-trained trans-former-based models renders them indispensable assets for driving data-centric advancements in drug discovery,chemistry,and biology,furnishing a robust framework that expedites innovation and dis-covery within these domains.Beyond their technical prowess,the success of transformer-based models in drug discovery,chemistry,and biology extends to their interdisciplinary potential,seamlessly combining biological,physical,chemical,and pharmacological insights to bridge gaps across diverse disciplines.This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields.In our review,we elucidate the myriad applications of transformers in drug discovery,as well as chemistry and biology,spanning from protein design and protein engineering,to molecular dynamics(MD),drug target iden-tification,transformer-enabled drug virtual screening(VS),drug lead optimization,drug addiction,small data set challenges,chemical and biological image analysis,chemical language understanding,and single cell data.Finally,we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

OBJECTIVE: To assess the association of single nucleotide polymorphisms (SNP) of the cell division cycle 42 (CDC42) gene with Pulmonary artery systolic pressure (PASP) among patients with Congenital heart disease (CHD). METHODS: In this observational study, clinical data and blood samples were collected from 579 CHD patients with left-to-right shunt who presented to our hospital between January 2012 and January 2017. SNPs of the CDC42 gene were genotyped using an improved multiple ligase detection reaction. Multiple linear regression was applied to evaluate the association of CDC42 gene variants with PASP. This study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Xinjiang Medical University (Ethics No.: 20180222-102). RESULTS: Polymorphisms at rs2501256 and rs34896897 of the CDC42 gene were significantly associated with PASP. Compared with the CC genotype at rs2501256, TT and CT carriers displayed higher PASP [TT vs. CC: B (95%CI) = 4.01 (1.95, 6.07), P < 0.001; CT vs. CC: B (95%CI) = 2.91 (0.63, 5.19), P < 0.001]. Similarly, GG and GA genotypes at rs34896897 were associated with higher PASP compared to the AA genotype [GG vs. AA: B (95%CI) = 26.15 (20.45, 31.84), P < 0.001; GA vs. AA: B (95%CI) = 7.19 (4.31, 10.08), P < 0.001]. Genetic model analyses demonstrated significant differences for both rs2501256 and rs34896897 under dominant, additive, and recessive models (P < 0.05). TT carriers at rs2501256 exhibited larger left-and right-atrial diameters, whereas GG carriers at rs34896897 showed greater right-atrial and right-ventricular end-diastolic dimensions. Subgroup analyses revealed no association between rs2501256 and PASP in males, individuals younger than 18 years, Uyghur ethnicity, or those with ventricular septal defects. CONCLUSION CHD patients carrying the minor alleles of rs2501256 and rs34896897 in the CDC42 gene present higher incidence of PASP compared to those carrying the common alleles.
Humans ; Male ; Female ; Heart Defects, Congenital/physiopathology* ; Polymorphism, Single Nucleotide ; cdc42 GTP-Binding Protein/genetics* ; Adult ; Child ; Genotype ; Adolescent ; Child, Preschool ; Genetic Predisposition to Disease ; Pulmonary Artery/physiopathology*

Objective:To develop an artificial intelligence (AI)-based automatic scoring model for magnetic resonance imaging-detected extramural vascular invasion (AI-mrEMVI) and evaluate its performance and prognostic value in patients with rectal cancer.Methods:In this multicenter retrospective cohort study, a total of 2 501 rectal cancer patients from seven centers between November 2012 and December 2020 were included and divided into completely independent training ( n=1 830) and validation ( n=671) cohorts. A nnUNet-based AI-mrEMVI scoring model was constructed. Manual mrEMVI scores assigned by two radiologists served as the reference standard for accessing the accuracy of the AI-mrEMVI scoring. Kaplan-Meier survival analysis and Cox regression were used to evaluate the prognostic stratification ability of the AI-mrEMVI scores. The concordance index (C-index) was calculated to evaluate prognostic performance. Results:In the validation cohort, the manual mrEMVI scores were 0-2 in 425 patients (63.3%), 3 in 89 (13.4%), and 4 in 157 (23.4%). The AI-mrEMVI model identified 0-2 in 375 patients (55.9%), 3 in 95 (14.2%), and 4 in 201 (30.0%), with an overall accuracy of 81.1% (544/671, 95% CI 77.9%-84.0%). The 3-year disease-free survival (DFS) rates for patients with AI-mrEMVI scores of 0-2, 3, and 4 were 85.2%, 70.0%, and 58.2%, respectively, and the 5-year overall survival (OS) rates were 87.2%, 81.6%, and 62.6%, respectively (DFS: χ2=48.74, P<0.001; OS: χ2=30.04, P<0.001). Multivariable Cox regression showed that for DFS, AI-mrEMVI scores of 3 and 4 were associated with hazard ratios ( HR) of 1.75 (95% CI 1.11-2.77, P=0.016) and 2.65 (95% CI 1.86-3.78, P<0.001), respectively. For OS, an AI-mrEMVI score of 4 was associated with an HR of 2.56 (95% CI 1.62-4.03, P<0.001). The C-index values of the AI-mrEMVI scoring model for predicting DFS and OS were 0.647 (95% CI 0.608-0.686) and 0.650 (95% CI 0.598-0.702), respectively. Conclusion:The proposed AI-mrEMVI automatic scoring model demonstrated high diagnostic accuracy and performed favorably in predicting DFS and OS prognostic risk in patients with rectal cancer.