Triple-negative breast cancer (TNBC) represents a distinctive subtype, characterized by the absence of estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2 (HER2). Due to its high inter-tumor and intra-tumor heterogeneity, TNBC poses significant chanllenges for personalized diagnosis and treatment. The advant of clustered regular interspaced short palindromic repeats (CRISPR) technology has profoundly enhanced our understanding of the structure and function of the TNBC genome, providing a powerful tool for investigating the occurrence and development of diseases. This review focuses on the application of CRISPR/Cas technology in the personalized diagnosis and treatment of TNBC. We begin by discussing the unique attributes of TNBC and the limitations of current diagnostic and treatment approaches: conventional diagnostic methods provide limited insights into TNBC, while traditional chemotherapy drugs are often associated with low efficacy and severe side effects. The CRISPR/Cas system, which activates Cas enzymes through complementary guide RNAs (gRNAs) to selectively degrade specific nucleic acids, has emerged as a robust tool for TNBC research. This technology enables precise gene editing, allowing for a deeper understanding of TNBC heterogeneity by marking and tracking diverse cell clones. Additionally, CRISPR facilitates high-throughput screening to promptly identify genes involved in TNBC growth, metastasis, and drug resistance, thus revealing new therapeutic targets and strategies. In TNBC diagnostics, CRISPR/Cas was applied to develop molecular diagnostic systems based on Cas9, Cas12, and Cas13, each employing distinct detection principles. These systems can sensitively and specifically detect a variety of TNBC biomarkers, including cell-specific DNA/RNA and circulating tumor DNA (ctDNA). In the realm of precision therapy, CRISPR/Cas has been utilized to identify key genes implicated in TNBC progression and treatment resistance. CRISPR-based screening has uncovered potential therapeutic targets, while its gene-editing capabilities have facilitated the development of combination therapies with traditional chemotherapy drugs, enhancing their efficacy. Despite its promise, the clinical translation of CRISPR/Cas technology remains in its early stages. Several clinical trials are underway to assess its safety and efficacy in the treatment of various genetic diseases and cancers. Challenges such as off-target effects, editing efficiency, and delivery methods remain to be addressed. The integration of CRISPR/Cas with other technologies, such as 3D cell culture systems, human induced pluripotent stem cells (hiPSCs), and artificial intelligence (AI), is expected to further advance precision medicine for TNBC. These technological convergences can offer deeper insights into disease mechanisms and facilitate the development of personalized treatment strategies. In conclusion, the CRISPR/Cas system holds immense potential in the precise diagnosis and treatment of TNBC. As the technology progresses and becomes more costs-effective, its clinical relevance will grow, and the translation of CRISPR/Cas system data into clinical applications will pave the way for optimal diagnosis and treatment strategies for TNBC patients. However, technical hurdles and ethical considerations require ongoing research and regulation to ensure safety and efficacy.

Recently, diffusion models have emerged as a promising paradigm for molecular design and optimization. However, most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geometries, with limited research on molecular sequence diffusion models. The International Union of Pure and Applied Chemistry (IUPAC) names are more akin to chemical natural language than the Simplified Molecular Input Line Entry System (SMILES) for organic compounds. In this work, we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language (SMILES) and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language. We propose DiffIUPAC, a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings. Evaluation results demonstrate that our model outperforms existing methods and successfully captures the semantic rules of both chemical languages. Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints. Additionally, to illustrate the model's applicability in drug design, we conducted case studies in functional group editing, analogue design and linker design.

Objective:To investigate the relationship between serum soluble interleukin-2 receptor(sCD25)and insulin-like growth factor-Ⅰ(IGF-Ⅰ)and the immunophenotype and therapeutic efficacy of newly diagnosed multiple myeloma(MM)patients.Methods:125 newly diagnosed MM patients(MM group)who received treatment at Tianmen First People's Hospital from January 2023 to June 2024 were selected,and another 70 healthy individuals who underwent physical examinations at our hospital during the same period were selected(control group).The serum sCD25 and IGF-Ⅰ levels in newly diagnosed MM patients of different stages were compared,and newly diagnosed MM patients were divide into remission group(76 cases)and non remission group(49 cases)based on treatment efficacy,the serum sCD25 and IGF-Ⅰ levels between the remission group and non remission group were compared.The patients were divided into high sCD25 group and low sCD25 group,high IGF-Ⅰ group and low IGF-Ⅰgroup according to the median levels of serum sCD25 and IGF-Ⅰ,the immunophenotypic differences between high sCD25 group and low sCD25 group,as well as high IGF-Ⅰ group and low IGF-Ⅰ group were analyzed.Serum sCD25 and IGF-Ⅰ for evaluating the efficacy of newly diagnosed MM patients were analyzed by receiver operating characteristic(ROC)curve.Factors affecting the therapeutic effect of newly diagnosed MM patients were analyzed by multivariate logistic regression analysis.Results:Serum sCD25 and IGF-Ⅰ levels in the control group were significantly lower than those in the MM group(P＜0.05).There was a statistically significant difference in serum sCD25 and IGF-Ⅰ levels among newly diagnosed MM patients at different stages(P＜0.05).Serum sCD25 and IGF-Ⅰ levels in stage Ⅲ newly diagnosed MM patients were significantly higher than those in stage Ⅰ and Ⅱ(P＜0.05),And stage Ⅱ was higher than that in stage Ⅰ(P＜0.05).The positive expression rate of CD56 in the high sCD25 group was higher than that in the low sCD25 group,there was no significant difference in the positive expression rates of CD117 and CD200 between the two groups(P＞0.05).The positive expression rates of CD56 and CD117 in the high IGF-Ⅰ group were higher than those in the low IGF-Ⅰ group(P＜0.05),and there was no significant difference in the positive expression rate of CD200 between the two groups(P＞0.05).Serum sCD25 and IGF-Ⅰ levels in the remission group were significantly lower than those in the non remission group(P＜0.05).ROC curve analysis showed that,the area under the curve(AUC)for evaluating the efficacy of newly diagnosed MM patients using serum sCD25 and IGF-Ⅰ detection alone and in combination were 0.748,0.775 and 0.832,respectively,and the AUC for combined detection was greater than that for each indicator detected separately.The results of multivariate Logistic regression model showed that elevated serum sCD25 level,elevated serum IGF-Ⅰ level and MM stage Ⅲ were independent risk factors affecting the efficacy of newly diagnosed MM patients(P＜0.05).Conclusion:Serum sCD25 and IGF-Ⅰ levels are closely related to the disease stage and therapeutic efficacy of newly diagnosed MM patients.Combined detection has a high evaluation value for efficacy and can be used as an important evaluation index affecting efficacy.

Objective To analyze the pathogen spectrum characteristics of infectious diarrhea in children under 5 years old in Zhongshan City from 2023 to 2024,and evaluate the application value of multiple detection technique in monitoring diarrhea syndrome.Methods Diarrhea specimens from hospitalized children under 5 years old in 4 senti-nel hospitals in Zhongshan City from 2023 to 2024 were collected,Luminex? multi-pathogen detection kit(GPP)was used for screening 16 types of pathogens,and fluorescence quantitative polymerase chain reaction(qPCR)was simultaneously used to verify the consistency of detection results of 5 diarrhea virus.Results A total of 578 dia-rrhea specimens were collected,and the positive detection rate of pathogens was 67.13％(n=388).The positive detection rate of viral pathogens was 38.24％,mainly norovirus(21.63％),rotavirus A(10.90％),and sapovirus(4.67％).The positive detection rate of bacterial pathogens was 41.00％,mainly Salmonella spp.(19.55％),Clostridioides di f ficile toxin A/B(14.71％),and Campylobacter sp p.(8.82％).Cryptosporidium,Entamoeba histolytica,and Giardia were not detected.The consistency between GPP and qPCR in detecting viral pathogens reached 95.16％,with a Kappa value of 0.897(x2=465.36,P＜0.001).Conclusion The main pathogens causing diarrhea in children in Zhongshan City are norovirus,Salmonella,and Clostridioides toxin A/B.GPP technique can efficiently construct a multi-pathogen spectrum,and provide reliable technical support for optimizing the monitoring system of diarrhea syndrome.

Recently,diffusion models have emerged as a promising paradigm for molecular design and optimization.However,most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geom-etries,with limited research on molecular sequence diffusion models.The International Union of Pure and Applied Chemistry(IUPAC)names are more akin to chemical natural language than the simplified molecular input line entry system(SMILES)for organic compounds.In this work,we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language(SMILES)and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language.We propose DiffIUPAC,a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings.Evaluation results demonstrate that our model out-performs existing methods and successfully captures the semantic rules of both chemical languages.Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints.Additionally,to illustrate the model's applicability in drug design,we conducted case studies in functional group editing,analogue design and linker design.

Objective To investigate the effect and mechanism of methyl oxofulnonone A(META)on high glucose(HG)-induced H9c2 cell injury.Methods H9c2 cells were divided into control group(normal culture),model group(55 mmol·L-1 glucose)and experimental-L,-M,-H groups(55 mmol·L-1 glucose+12.5,25.0,50.0 μmol·L-1 META).Cell viability was detected by cell counting kit-8;intracellular reactive oxygen species(ROS)level was detected by DCFH-DA fluorescent probe;intracellular adenosine triphosphate(ATP)content was detected by luciferase;and autophagy-related protein expression was detected by Western blotting.Results The optical density values of 72-hour cells in the control group,model group and experimental-M,-H groups were 0.91±0.03,0.61±0.01,0.69±0.02 and 0.72±0.03;the ROS levels were(40.75±1.53)％,(43.73±1.30)％,(30.87±1.27)％and(28.28±1.43)％;the ATP contents were(8.16±0.71),(4.03±0.29),(5.29±0.31)and(5.83±0.31)nmol·mg-1;the relative expression levels of autophagy-related gene 5 protein were 1.05±0.06,1.46±0.09,0.98±0.11 and 0.89±0.09;the relative expression levels of ubiquitin-binding protein were 1.05±0.10,0.55±0.13,0.89±0.04 and 0.98±0.04;the ratios of microtubule-associated protein 1 light chain 3 11/Ⅰ protein were 1.09±0.09,1.82±0.05,1.67±0.29 and 1.09±0.15,respectively.Among the above indicators,there were statistically significant differences between the model group and the control and experimental-M,-H groups(P＜0.05,P＜0.01).Conclusion META significantly ameliorates H9c2 cardiomyocyte damage caused by high glucose,ameliorates oxidative stress,protects mitochondrial respiration and inhibits autophagy.

Objective To investigate the effect and mechanism of methyl oxofulnonone A(META)on high glucose(HG)-induced H9c2 cell injury.Methods H9c2 cells were divided into control group(normal culture),model group(55 mmol·L-1 glucose)and experimental-L,-M,-H groups(55 mmol·L-1 glucose+12.5,25.0,50.0 μmol·L-1 META).Cell viability was detected by cell counting kit-8;intracellular reactive oxygen species(ROS)level was detected by DCFH-DA fluorescent probe;intracellular adenosine triphosphate(ATP)content was detected by luciferase;and autophagy-related protein expression was detected by Western blotting.Results The optical density values of 72-hour cells in the control group,model group and experimental-M,-H groups were 0.91±0.03,0.61±0.01,0.69±0.02 and 0.72±0.03;the ROS levels were(40.75±1.53)％,(43.73±1.30)％,(30.87±1.27)％and(28.28±1.43)％;the ATP contents were(8.16±0.71),(4.03±0.29),(5.29±0.31)and(5.83±0.31)nmol·mg-1;the relative expression levels of autophagy-related gene 5 protein were 1.05±0.06,1.46±0.09,0.98±0.11 and 0.89±0.09;the relative expression levels of ubiquitin-binding protein were 1.05±0.10,0.55±0.13,0.89±0.04 and 0.98±0.04;the ratios of microtubule-associated protein 1 light chain 3 11/Ⅰ protein were 1.09±0.09,1.82±0.05,1.67±0.29 and 1.09±0.15,respectively.Among the above indicators,there were statistically significant differences between the model group and the control and experimental-M,-H groups(P＜0.05,P＜0.01).Conclusion META significantly ameliorates H9c2 cardiomyocyte damage caused by high glucose,ameliorates oxidative stress,protects mitochondrial respiration and inhibits autophagy.

Objective To analyze the pathogen spectrum characteristics of infectious diarrhea in children under 5 years old in Zhongshan City from 2023 to 2024,and evaluate the application value of multiple detection technique in monitoring diarrhea syndrome.Methods Diarrhea specimens from hospitalized children under 5 years old in 4 senti-nel hospitals in Zhongshan City from 2023 to 2024 were collected,Luminex? multi-pathogen detection kit(GPP)was used for screening 16 types of pathogens,and fluorescence quantitative polymerase chain reaction(qPCR)was simultaneously used to verify the consistency of detection results of 5 diarrhea virus.Results A total of 578 dia-rrhea specimens were collected,and the positive detection rate of pathogens was 67.13％(n=388).The positive detection rate of viral pathogens was 38.24％,mainly norovirus(21.63％),rotavirus A(10.90％),and sapovirus(4.67％).The positive detection rate of bacterial pathogens was 41.00％,mainly Salmonella spp.(19.55％),Clostridioides di f ficile toxin A/B(14.71％),and Campylobacter sp p.(8.82％).Cryptosporidium,Entamoeba histolytica,and Giardia were not detected.The consistency between GPP and qPCR in detecting viral pathogens reached 95.16％,with a Kappa value of 0.897(x2=465.36,P＜0.001).Conclusion The main pathogens causing diarrhea in children in Zhongshan City are norovirus,Salmonella,and Clostridioides toxin A/B.GPP technique can efficiently construct a multi-pathogen spectrum,and provide reliable technical support for optimizing the monitoring system of diarrhea syndrome.

Objective:To investigate the relationship between serum soluble interleukin-2 receptor(sCD25)and insulin-like growth factor-Ⅰ(IGF-Ⅰ)and the immunophenotype and therapeutic efficacy of newly diagnosed multiple myeloma(MM)patients.Methods:125 newly diagnosed MM patients(MM group)who received treatment at Tianmen First People's Hospital from January 2023 to June 2024 were selected,and another 70 healthy individuals who underwent physical examinations at our hospital during the same period were selected(control group).The serum sCD25 and IGF-Ⅰ levels in newly diagnosed MM patients of different stages were compared,and newly diagnosed MM patients were divide into remission group(76 cases)and non remission group(49 cases)based on treatment efficacy,the serum sCD25 and IGF-Ⅰ levels between the remission group and non remission group were compared.The patients were divided into high sCD25 group and low sCD25 group,high IGF-Ⅰ group and low IGF-Ⅰgroup according to the median levels of serum sCD25 and IGF-Ⅰ,the immunophenotypic differences between high sCD25 group and low sCD25 group,as well as high IGF-Ⅰ group and low IGF-Ⅰ group were analyzed.Serum sCD25 and IGF-Ⅰ for evaluating the efficacy of newly diagnosed MM patients were analyzed by receiver operating characteristic(ROC)curve.Factors affecting the therapeutic effect of newly diagnosed MM patients were analyzed by multivariate logistic regression analysis.Results:Serum sCD25 and IGF-Ⅰ levels in the control group were significantly lower than those in the MM group(P＜0.05).There was a statistically significant difference in serum sCD25 and IGF-Ⅰ levels among newly diagnosed MM patients at different stages(P＜0.05).Serum sCD25 and IGF-Ⅰ levels in stage Ⅲ newly diagnosed MM patients were significantly higher than those in stage Ⅰ and Ⅱ(P＜0.05),And stage Ⅱ was higher than that in stage Ⅰ(P＜0.05).The positive expression rate of CD56 in the high sCD25 group was higher than that in the low sCD25 group,there was no significant difference in the positive expression rates of CD117 and CD200 between the two groups(P＞0.05).The positive expression rates of CD56 and CD117 in the high IGF-Ⅰ group were higher than those in the low IGF-Ⅰ group(P＜0.05),and there was no significant difference in the positive expression rate of CD200 between the two groups(P＞0.05).Serum sCD25 and IGF-Ⅰ levels in the remission group were significantly lower than those in the non remission group(P＜0.05).ROC curve analysis showed that,the area under the curve(AUC)for evaluating the efficacy of newly diagnosed MM patients using serum sCD25 and IGF-Ⅰ detection alone and in combination were 0.748,0.775 and 0.832,respectively,and the AUC for combined detection was greater than that for each indicator detected separately.The results of multivariate Logistic regression model showed that elevated serum sCD25 level,elevated serum IGF-Ⅰ level and MM stage Ⅲ were independent risk factors affecting the efficacy of newly diagnosed MM patients(P＜0.05).Conclusion:Serum sCD25 and IGF-Ⅰ levels are closely related to the disease stage and therapeutic efficacy of newly diagnosed MM patients.Combined detection has a high evaluation value for efficacy and can be used as an important evaluation index affecting efficacy.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.