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.

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.

Real-world study (RWS), based on multi-source data from real medical environments, is gradually becoming an important supplement to traditional randomized controlled trials, and its application in the field of transfusion medicine is becoming increasingly widespread. This article systematically reviews the definition and methodological system of RWS, examines its application cases in clinical blood transfusion research, and discusses the advantages, limitations, and future research directions of RWS, aiming to provide a reference for evidence-based research in blood transfusion medicine.

Real-world study (RWS), based on multi-source data from real medical environments, is gradually becoming an important supplement to traditional randomized controlled trials, and its application in the field of transfusion medicine is becoming increasingly widespread. This article systematically reviews the definition and methodological system of RWS, examines its application cases in clinical blood transfusion research, and discusses the advantages, limitations, and future research directions of RWS, aiming to provide a reference for evidence-based research in blood transfusion medicine.

Objective To address the national requirements for high-quality development of public hospitals issued by the National Health Commission(NHC),this study establishes a knowledge-value-oriented performance management system tailored to dental specialty characteristics,aiming to synergistically enhance disciplinary advancement and operational efficiency.Methods Guided by policies such as Guidelines on Strengthening Operational Management in Public Hospitals,we integrated resources in oral and maxillofacial surgery through data-driven decision-making and multidimensional investigations.A"2-3-3"performance manage-ment model was developed,featuring dual objectives(public welfare and economic efficiency),a three-tier allocation mechanism(hospital-department-individual),and triple support strategies(key disciplines,young talents,and under-resourced projects).Im-plementation involved organizational restructuring,business-finance integration,and digital transformation.Results Post-reform outcomes demonstrated a 14％year-on-year increase in outpatient volume and a 9％growth in bed-to-surgery ratio.Both medical quality indicators and revenue and expenditure structures were optimized,achieving better equilibrium between public welfare and economic sustainability.Conclusion This model replaces the egalitarian distribution approach with a value-driven incentive mech-anism,effectively promoting disciplinary specialization and talent engagement.It provides a replicable framework for performance reform in dental specialty hospitals,aligning with the NHC's policy orientation on refined public hospital management.

Objective To address the national requirements for high-quality development of public hospitals issued by the National Health Commission(NHC),this study establishes a knowledge-value-oriented performance management system tailored to dental specialty characteristics,aiming to synergistically enhance disciplinary advancement and operational efficiency.Methods Guided by policies such as Guidelines on Strengthening Operational Management in Public Hospitals,we integrated resources in oral and maxillofacial surgery through data-driven decision-making and multidimensional investigations.A"2-3-3"performance manage-ment model was developed,featuring dual objectives(public welfare and economic efficiency),a three-tier allocation mechanism(hospital-department-individual),and triple support strategies(key disciplines,young talents,and under-resourced projects).Im-plementation involved organizational restructuring,business-finance integration,and digital transformation.Results Post-reform outcomes demonstrated a 14％year-on-year increase in outpatient volume and a 9％growth in bed-to-surgery ratio.Both medical quality indicators and revenue and expenditure structures were optimized,achieving better equilibrium between public welfare and economic sustainability.Conclusion This model replaces the egalitarian distribution approach with a value-driven incentive mech-anism,effectively promoting disciplinary specialization and talent engagement.It provides a replicable framework for performance reform in dental specialty hospitals,aligning with the NHC's policy orientation on refined public hospital management.

AIM: To observe the effect ofacacia honey (AH) on serum uric acid level and renal function in potassium oxonate modelrats after drinking AH aqueous solution. METHODS: Sixty male SD rats were selected and randomly divided into control group (CON group), potassium oxonate model group (OA model group), 10% fructose group (10% F group) and different concentration honey groups (25%, 12.5% and 6.25% AH groups). All rats were fed with normal diet.The rats in CON group were subcutaneously injected with 5% sodium carboxymethyl cellulose (CMC-Na) solution and drunk sterile water every day, while rats in other groups were injected with 100 mg / kg OA solution suspended with 5% CMC-Na subcutaneouslyand drunksterile water orfructose solution or AH solution of different concentrations every day. Before and during the 4-week test, rats were weighed and blood was taken once a week. At the end of test, urine and feces specimens or kidney tissues were collected and blood was taken from the abdominal aorta. The uric acid content in blood, urine, and feces and the levels of serum creatinine (Cre) and blood urea nitrogen (BUN) or inflammatory factors in kidney tissues were measured. Renal function and histology were evaluated. RESULTS: Compared with CON group, AH could significantly reduce the body weight of rats (P<0.05), increase the kidney organ coefficient, the levels of serum uric acid, and uric acid in urine or feces, and reduce the level of fecal uric acid (FUA) in rats. AH can down regulate the level of tumor necrosis factor alpha (TNF-a) (P< 0.05) and up regulate the expression of monocyte chemoattractant protein 1 (MCP-1) and transforming growth factor β - 1 (TGF - β1) in rats kidneys; AH can cause slight to mild dilatation of renal tubules and mild to moderate basophilic lesions of renal rubules in rat kidney in a dose dependent manner. CONCLUSION: In the doses rang of present study, AH can cause hyperuricemia, renal tubular dilatation and basophilic lesions, and lead to renal function damage in rats.

Objective:To systematically review the efficacy and safety of new oral anticoagulants(NOACs)for the treatment of patients over 70 years with atrial fibrillation.Methods:Studies comparing NOACs(dabigatran, rivaroxaban, apixaban, ximelagatran and edoxaban)versus warfarin for the treatment of patients over 70 years with atrial fibrillation were searched through databases including PubMed, Embase and the Cochrane Library, from the earliest electronic records to those published in March 2021.Stata15.0 software was used for meta-analysis.Results:A total of 19 studies and 215 471 patients were included.Meta-analysis results showed that, compared with warfarin, either a low-dose(110 mg)or a standard-dose(150 mg)of dabigatran reduced the risk of stroke/systemic embolism(SSE)in patients over 70 years with atrial fibrillation.A standard-dose of dabigatran did not decrease the risk of major bleeding, but a low dose was able to achieve it.A standard-dose(20 mg)of rivaroxaban could considerably reduce the risk of SSE in geriatric patients over 70 years with atrial fibrillation without increasing the risk of major bleeding.A standard-dose(5 mg)of apixaban could considerably decrease the risk of SSE and major bleeding in patients over 70 years with atrial fibrillation; A standard-dose(36 mg)of ximelagatran was as effective as warfarin in decreasing the incidence of SSE in patients over 70 years with atrial fibrillation, but could also considerably decrease the risk of major bleeding; A low-dose(15-30 mg)or a standard-dose(30-60 mg)of edoxaban decreased the incidence of SSE in patients over 70 years with atrial fibrillation, as did warfarin, but edoxaban considerably decreased the risk of major bleeding.Conclusions:Compared with warfarin, most of new oral anticoagulants show good efficacy in patients over 70 years old with atrial fibrillation, NOACs given at standard doses increase the risk of major bleeding, but at low doses can realize both efficacy and safety.

Objective:To investigate the relationship between sarcopenia and early renal dysfunction in elderly patients with type 2 diabetes mellitus(T2DM).Methods:A total of 198 elderly patients with T2DM aged over 60 years undergoing treatment in the Geriatric Department of Beijing Hospital from July 2018 to July 2019 were enrolled in this retrospective case-control study.The estimated glomerular filtration rate(eGFR)is calculated according to the CKD-EPI Cr-Cys formula.Based on the eGFR, the patients were divided into normal renal function group(n=63, in CKD 1 stage)and mild renal dysfunction group(n=135, in CKD 2-3a stage). All subjects underwent physical examination, laboratory examination and dual energy X-ray bone density examination. Results:The age, weight, body mass index, abdominal circumference, serum creatinine, cystatin C, uric acid, diastolic pressure, the proportions of diabetes and hypertension were lower, and the high-density lipoprotein cholesterol, appendicular skeletal muscle mass(ASM)and skeletal muscle mass index(SMI)were higher, in the normal renal function group than in the mild renal dysfunction group( P<0.05 or 0.01). Spearman correlation analysis showed that eGFR was positively correlated with SMI( r=0.343, P<0.01). Logistic regression analysis showed that body weight( OR=1.318, 95% CI: 1.091-1.594), uric acid( OR=1.007, 95% CI: 1.001-1.012), diastolic blood pressure( OR=1.072, 95% CI: 1.033-1.112), years of diabetes( OR=1.075, 95% CI: 1.013-1.142)were risk factors, and the LSM( OR=0.136, 95% CI: 0.047-0.392)and SMI( OR=0.778, 95% CI: 0.703-0.860)were protective factors for the early renal dysfunction in elderly patients with T2DM. Conclusions:Elderly patients with T2DM are often co-existed with sarcopenia.Sarcopenia is associated with early renal dysfunction in elderly patients with T2DM.

With the acceleration of the aging process in China, the incidence rates of coronary heart disease and cerebral infarction have significantly increased.And iodine contrast agent is often used in imaging diagnosis and percutaneous intervention therapy.The contrast medium is filtered from the glomerulus in its original form and is not absorbed by renal tubules.However, the accumulation of iodine contrast medium in the kidney can lead to acute kidney injury.Kidney is one of the most important excretory and endocrine organs in human body.The prevention and treatment of contrast-induced nephropathy(CIN)have been widely concerned.The incidence rate of contrast-induced renal damage is higher and the prognosis is poorer in the elderly than in the non-elderly due to the decline of organ function in the elderly.At present, the mechanism of action for oxygen free radicals in CIN of the elderly is still unclear.This article reviews the researches on the role of oxygen free radical in CIN of the elderly studied by domestic and foreign scholars in recent years.