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.

AIM:This study aims to investigate the role of histone methyltransferase SET and MYND domain containing 2(SMYD2)in facilitating renal fibrosis through the macrophage-myofibroblast transition in diabetic kidney dis-ease(DKD).METHODS:(1)C57BL/6J mice were intraperitoneally administered 55 mg/kg of streptozotocin to induce diabetes mellitus(DM).The experimental groups were categorized as follows:normal control,DM(20 weeks),DM(28 weeks),and DM(36 weeks).Blood glucose(BG),serum creatinine(SCr)and blood urea nitrogen(BUN)levels were determined using a biochemical analyzer.Hematoxylin-eosin(HE)staining and Masson staining were performed to assess morphological and fibrotic changes in renal tissues.Western blot analysis was used to measure the protein levels of SMYD2,histone H3 lysine 4 trimethylation(H3K4me3),arginase-1,matrix metalloproteinase 9(MMP9),collagen type Ⅰ(Col Ⅰ)and α-smooth muscle actin(α-SMA).Immunofluorescence staining was conducted to examine the localization and expression of F4/80,α-SMA,SMYD2,CD86,CD206 and CD163.(2)Mouse monocyte/macrophage RAW264.7 cells were cultured in vitro and assigned to groups as follows:normal glucose(NG)+negative control siRNA(siNC),high glucose(HG)+siNC,NG+SMYD2 siRNA(siSMYD2),and HG+siSMYD2.Western blot analysis was used to assess the expression of relevant proteins.RESULTS:(1)Compared with normal control group,the levels of BG,SCr and BUN were significantly elevated in DM(28 weeks)and DM(36 weeks)groups(P＜0.05).Renal tissue exhibited tubular atro-phy,dilation,and collagen fiber deposition.The levels of H3K4me3,arginase-1,MMP9,Col Ⅰ and α-SMA proteins were up-regulated(P＜0.05).The CD86,CD206,CD163 and F4/80 were primarily localized in the interstitial macrophages of the renal tubules,α-SMA was predominantly detected in the renal interstitium,and SMYD2 was mainly expressed in renal tubular epithelial cells and the renal interstitium.(2)Compared with NG+siNC group,the protein levels of SMYD2,H3K4me3,arginase-1,CD163,Col Ⅰ,α-SMA,transforming growth factor-β1(TGF-β1)and p-Smad3 in the cells of HG+siNC group were significantly increased(P＜0.05).Knockdown of SMYD2 resulted in a reduction of these indicators(P＜0.05).CONCLUSION:The SMYD2 protein appears to facilitate renal fibrosis in DKD by promoting the macrophage-myofibroblast transition,potentially through the modulation of TGF-β1/Smad3 signaling pathway.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

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 transformer-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 discovery 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 identification, 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.

In recent years, there have been frequent adverse reactions/events associated with traditional Chinese medicine(TCM), especially liver injury related to traditional non-toxic TCM, which requires adequate attention. Liver injury related to traditional non-toxic TCM is characterized by its sporadic and insidious nature and is influenced by various factors, making its detection and identification challenging. There is an urgent need to develop a strategy and method for early detection and recognition of traditional non-toxic TCM-related liver injury. This study was based on national adverse drug reaction monitoring center big data, integrating methodologies such as reporting odds ratio(ROR), network toxicology, and computational chemistry, so as to systematically research the risk signal identification and evaluation methods for TCM-related liver injury. The optimized ROR method was used to discover potential TCM with a risk of liver injury, and network toxicology and computational chemistry were used to identify potentially high-risk TCM. Additionally, typical clinical cases were analyzed for confirmation. An integrated strategy of "discovery via big data, identification via dry/wet method, confirmation via typical cases, and precise risk prevention and control" was developed to identify the risk of TCM-related liver injury. Corydalis Rhizoma was identified as a TCM with high risk, and its toxicity-related substances and potential toxicity mechanisms were analyzed. The results revealed that liver injury is associated with components such as tetrahydropalmatine and tetrahydroberberine, with potential mechanisms related to immune-inflammatory pathways such as the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and Th17 cell differentiation. This paper innovatively integrated real-world evidence and computational toxicology methods, offering insights and technical support for establishing a risk discovery and identification strategy for TCM-related liver injury based on real-world big data, providing innovative ideas and strategies for guiding the safe and rational use of medication in clinical practices.
Corydalis/adverse effects* ; Drugs, Chinese Herbal/adverse effects* ; Humans ; Chemical and Drug Induced Liver Injury/etiology* ; Medicine, Chinese Traditional/adverse effects* ; Rhizome/adverse effects* ; Male ; Female

OBJECTIVES: To investigate the genomic characteristics and prognostic factors of juvenile myelomonocytic leukemia (JMML) with RAS mutations. METHODS: A retrospective analysis was conducted on the clinical data of JMML children with RAS mutations treated at the Hematology Hospital of Chinese Academy of Medical Sciences, from January 2008 to November 2022. RESULTS: A total of 34 children were included, with 17 cases (50%) having isolated NRAS mutations, 9 cases (27%) having isolated KRAS mutations, and 8 cases (24%) having compound mutations. Compared to children with isolated NRAS mutations, those with NRAS compound mutations showed statistically significant differences in age at onset, platelet count, and fetal hemoglobin proportion (P<0.05). Cox proportional hazards regression model analysis revealed that hematopoietic stem cell transplantation (HSCT) and hepatomegaly (≥2 cm below the costal margin) were factors affecting the survival rate of JMML children with RAS mutations (P<0.05); hepatomegaly was a factor affecting survival in the non-HSCT group (P<0.05). CONCLUSIONS Children with NRAS compound mutations have a later onset age compared to those with isolated NRAS mutations. At initial diagnosis, children with NRAS compound mutations have poorer peripheral platelet and fetal hemoglobin levels than those with isolated NRAS mutations. Liver size at initial diagnosis is related to the prognosis of JMML children with RAS mutations. HSCT can improve the prognosis of JMML children with RAS mutations.
Humans ; Leukemia, Myelomonocytic, Juvenile/therapy* ; Mutation ; Male ; Female ; Child, Preschool ; Retrospective Studies ; Child ; Infant ; GTP Phosphohydrolases/genetics* ; Membrane Proteins/genetics* ; Adolescent ; Hematopoietic Stem Cell Transplantation ; Proportional Hazards Models ; Proto-Oncogene Proteins p21(ras)/genetics* ; Prognosis

AIM:This study aims to investigate the role of histone methyltransferase SET and MYND domain containing 2(SMYD2)in facilitating renal fibrosis through the macrophage-myofibroblast transition in diabetic kidney dis-ease(DKD).METHODS:(1)C57BL/6J mice were intraperitoneally administered 55 mg/kg of streptozotocin to induce diabetes mellitus(DM).The experimental groups were categorized as follows:normal control,DM(20 weeks),DM(28 weeks),and DM(36 weeks).Blood glucose(BG),serum creatinine(SCr)and blood urea nitrogen(BUN)levels were determined using a biochemical analyzer.Hematoxylin-eosin(HE)staining and Masson staining were performed to assess morphological and fibrotic changes in renal tissues.Western blot analysis was used to measure the protein levels of SMYD2,histone H3 lysine 4 trimethylation(H3K4me3),arginase-1,matrix metalloproteinase 9(MMP9),collagen type Ⅰ(Col Ⅰ)and α-smooth muscle actin(α-SMA).Immunofluorescence staining was conducted to examine the localization and expression of F4/80,α-SMA,SMYD2,CD86,CD206 and CD163.(2)Mouse monocyte/macrophage RAW264.7 cells were cultured in vitro and assigned to groups as follows:normal glucose(NG)+negative control siRNA(siNC),high glucose(HG)+siNC,NG+SMYD2 siRNA(siSMYD2),and HG+siSMYD2.Western blot analysis was used to assess the expression of relevant proteins.RESULTS:(1)Compared with normal control group,the levels of BG,SCr and BUN were significantly elevated in DM(28 weeks)and DM(36 weeks)groups(P＜0.05).Renal tissue exhibited tubular atro-phy,dilation,and collagen fiber deposition.The levels of H3K4me3,arginase-1,MMP9,Col Ⅰ and α-SMA proteins were up-regulated(P＜0.05).The CD86,CD206,CD163 and F4/80 were primarily localized in the interstitial macrophages of the renal tubules,α-SMA was predominantly detected in the renal interstitium,and SMYD2 was mainly expressed in renal tubular epithelial cells and the renal interstitium.(2)Compared with NG+siNC group,the protein levels of SMYD2,H3K4me3,arginase-1,CD163,Col Ⅰ,α-SMA,transforming growth factor-β1(TGF-β1)and p-Smad3 in the cells of HG+siNC group were significantly increased(P＜0.05).Knockdown of SMYD2 resulted in a reduction of these indicators(P＜0.05).CONCLUSION:The SMYD2 protein appears to facilitate renal fibrosis in DKD by promoting the macrophage-myofibroblast transition,potentially through the modulation of TGF-β1/Smad3 signaling pathway.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the risk factors,clinical characteristics,and bacterial resistance of bloodstream infections caused by Streptococcus mitis in children with hematological disease,so as to provide a reference for infection control.Methods:The clinical information and laboratory findings of pediatric patients complicated with blood cultures positive for Streptococcus mitis from January 2018 to December 2020 in the Institute of Hematology & Blood Diseases Hospital were searched and collected.The clinical characteristics,susceptibility factors,and antibiotic resistance of the children were retrospectively analyzed.Results:Data analysis from 2018 to 2020 showed that the proportion of Streptococcus mitis isolated from bloodstream infections in children(≤14 years old)with hematological diseases was the highest(19.91％)and significantly higher than other bacteria,accounting for 38.64％of Gram-positive cocci,and presented as an increasing trend year by year.A total of 427 children tested positive blood cultures,including 85 children with bloodstream infections caused by Streptococcus mitis who tested after fever.Most children experienced a recurrent high fever in the early and middle stages(≤6 d)of neutropenia and persistent fever for more than 3 days.After adjusting the antibiotics according to the preliminary drug susceptibility results,the body temperature of most children(63.5％)returned to normal within 4 days.The 85 children were mainly diagnosed with acute myeloid leukemia(AML),accounting for 84.7％.The proportion of children in the neutropenia stage was 97.7％.The incidence of oral mucosal damage,lung infection,and gastrointestinal injury symptoms was 40％,31.8％,and 27.1％,respectively.The ratio of elevated C-reactive protein(CRP)and procalcitonin was 65.9％and 9.4％,respectively.All isolated strains of Streptococcus mitis were not resistant to vancomycin and linezolid,and the resistance rate to penicillin,cefotaxime,levofloxacin,and quinupristin-dalfopristin was 10.6％,8.2％,9.4％,and 14.1％,respectively.None of children died due to bloodstream infection caused by Streptococcus mitis.Conclusion:The infection rate of Streptococcus mitis is increasing year by year in children with hematological diseases,especially in children with AML.Among them,neutropenia and oral mucosal damage after chemotherapy are high-risk infection factors.The common clinical symptoms include persistent high fever,oral mucosal damage,and elevated CRP.Penicillin and cephalosporins have good sensitivity.Linezolid,as a highly sensitive antibiotic,can effectively control infection and shorten the course of disease.