Objective To investigate and analyze the relationship between bone metabolism indicators,bone mineral density(BMD)T value,osteoporosis and fracture risk in patients with type 2 diabetes mellitus(T2DM).Methods A retrospective analysis was conducted on the clinical data of 175 patients with T2DM ad-mitted to the hospital from January to August 2024.According to the T value,they were divided into the oste-oporosis group(n=65),the osteopenia group(n=50),and the normal bone mass group(n=60).The general clinical data and bone metabolism indicators were compared among the three groups,including 25-hydroxyvi-tamin D3[25-(OH)D3],osteocalcin(OC),calcitonin(CT),type Ⅰ procollagen amino-terminal peptide(PⅠNP)and β-collagen degradation products(β-CTX),parathyroid hormone(PTH),T value,and the differences between the fracture risk assessment tools[FRAX,including 10-year major osteoporotic fracture(MOF)risk and 10-year hip fracture(HF)risk],analyzed the influencing factors of osteoporosis in T2DM patients,as well as the relationship between bone metabolism indicators,T values and fracture risk.Results The results of un-ivariate and multivariate logistic regression analyses showed that PⅠNP and β-CTX were risk factors for oste-oporosis in patients with T2DM,while estradiol(E2),testosterone(T),25-(OH)D3,OC,and T values were all protective factors(P<0.05).The 10-year risks of MOF and HF in the osteoporosis group were higher than those in the osteopenia group and the normal bone mass group,while the 10-year risks of MOF and HF in the osteopenia group were higher than those in the normal bone mass group,the differences were statistical-ly significant(P<0.05).According to Pearson correlation analysis,25-(OH)D3 and T values were negatively correlated with the risks of 10-year MOF and HF,while OC,PⅠNP,and β-CTx were positively correlated with the risks of 10-year MOF and HF(P<0.05),CT and PTH were not correlated with the risks of 10-year MOF and HF(P>0.05).Conclusion Bone metabolism indicators and BMD are important influencing factors for the occurrence of osteoporosis in patients with T2DM,and they are closely related to the occurrence of os-teoporotic fractures.Clinically,the monitoring of bone metabolism and BMD in patients with T2DM should be strengthened.

Objective To investigate the effects of open reading frame 1 protein(ORF1p),encoded by long interspersed nuclear element-1(LINE-1),on the proliferation,migration,and invasion of esophageal squamous cell carcinoma(ESCC)cells,and explore the underlying molecular mechanism.Methods① Western blotting was performed to compare the expression of ORF1p between normal esophageal squamous epithelial cells and ESCC cells.② Immunohistochemistry(IHC)assay was used to examine ORF1p expression in ESCC tissues and paired normal tissues adjacent to tumor.③ The effects of ORF1p knockdown and overexpression on malignant behaviors in ESCC cells were determined through functional assays.④ Xenograft tumor model in nude mice was established to evaluate the impact of ORF1p on tumor growth in vivo.⑤ Transcriptome sequencing combined with cell functional rescue experiments were conducted to identify downstream targets regulated by ORF1p.Results ① Western blot analysis demonstrated the expression of ORF1p was significantly higher in the ESCC cell lines than the normal esophageal squamous epithelial cells(P<0.05).② IHC confirmed remarkable up-regulation of ORF1p in ESCC tissues than paired adjacent normal tissues(P<0.000 1).③ Functional assays and experiments on xenograft tumor models revealed that ORF1p substantially enhanced the proliferation,migration,and invasion of ESCC cells,as well as tumorigenic potential in vivo(P<0.05).④ Functional rescue experiments showed that ORF1p facilitated the proliferation,migration,and invasion of ESCC cells by modulating AJUBA expression(P<0.05).Conclusion ORF1p is significantly up-regulated in ESCC and promotes the proliferation,migration,and invasion of ESCC cells by regulating AJUBA expression.

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

In July 2023， the National Medical Products Administration issued the Measures for the Administration of Standards for Medicinal Products （hereinafter referred to as the Measures）. This article interprets the main content of the Measures， and analyzes its shortcomings as unclear definition of the drug standard code and the goals of drug standard information construction. It is recommended that the national drug regulatory department promptly apply to the standardization authority for the confirmation of the drug standard code “YB” letter， and the drug standard code and numbering rules would be included in the next round of amendments to the Measures. It is necessary to clarify the construction goals of the information system for drug standards at the same time， and build a national drug standard data-sharing platform based on the basic framework of user interface layer， computing processing layer， and data storage layer. Digital drug standards will be free， and access and download services for the public will be provided.

The current situation of tumor radiotherapy teaching is far behind the development of radiotherapy technologies. The construction of a teaching system based on an artificial intelligence-powered automatic target delineation system and a standardized cancer radiotherapy case library is operable and practical for realizing the standardization and homogenization of clinical target volume delineation teaching, improving students' precision and speed of target volume delineation, and promoting students' learning interest, initiative, and efficiency, which can bring new vitality to the development of radiotherapy education and is worthy of further exploration and promotion.

The intervention therapy targeting vascular endothelial growth factor (VEGF) has become a specific and effective method for the treatment of diabetic retinopathy (DR). However, some patients did not respond or responded poorly to anti-VEGF therapy, and its effects of eliminating edema and improving vision appear to be unstable in the same patient. Hypoxia-inducible factor-1α (HIF-1α), an important upstream transcriptional regulator of VEGF, is an oxygen concentration-sensitive protein expressed in tissues under hypoxia. It can simultaneously target many downstream target genes except VEGF, such as placental growth factor and angiopoietin-like protein 4, to cause blood-retinal barrier damage and neovascularization, and thus participate in various pathological changes of DR to promote the occurrence and development of DR. Therefore, direct intervention of HIF-1α or targeting one or more downstream target genes regulated by HIF-1α to treat DR may have better efficacy. In the future, the development of effective and safe HIF inhibitors or anti-VEGF with HIF-1α other target gene inhibitors may have broader clinical application prospects.

OBJECTIVE：To unscramble the Notice on Standardizing the Allocation and Use of Licensed Pharmacists in Drug Retail Enterprises （called Notice for short ）and related document ，and to give some suggestions to provide reference for the industry and policy decision departments. METHODS ：The background and content of Notice were described briefly ；the problemsexisting in the corresponding provincial differentiated allocation policy and the difficulties existing in the implementation were analyzed to give some relevant suggestions. RESULTS & CONCLUSIONS ：The main contents of Notice contained adhering to the policy of licensed pharmacists ，steadily improving the allocation level of licensed pharmacists ，refining and implementing the allocation requirements ，and strengthening the implementation of supervision and inspection responsibilities ；giving full play to the role of licensed pharmacists and continuously strengthening the team building. At present ，drug administrations of many provinces in China have issued specific policies on the differentiated allocation of licensed pharmacists and pharmaceutical technicians ，which are mainly divided into four schemes. The author believes that the classification method of drug retail enterprises implemented in Shandong and Guangdong provinces are the most scientific. The implementation of differentiated allocation of pharmacists with health（pharmacy）professional title in drug retail enterprises can alleviate the problem of insufficient licensed pharmacists to a certain extent ，but the disadvantage is that it can not achieve accurate registration and control as well as the management of licensed pharmacists ，which is easy to produce policy gaps ；after the “affiliation licensed pharmacist ’s certificate ”phenomenon， the“certificate affiliation of pharmacist with health （pharmacy）professional title ”phenomenon appeared. It is suggested that the provincial drug supervision and administration departments should try the differentiated allocation scheme of hierarchical management；learn from the management experience of licensed pharmacists and pharmaceutical technicians in Guangdong province， develop relevant platforms to manage the information of pharmaceutical technicians uniformly ； strengthen the communication and interaction with the health and human resource security department as well as the mutual promotion mechanism of personnel information screening ，so as to solve the core bottleneck of licensed pharmacists ’quality.

Objective To evaluate the diagnostic efficacy of Kwak and ACR( 2017 ) thyroid imaging reporting and data systems ( T I‐RADS ) for thyroid nodules . Methods Cases of thyroid nodule who underwent surgery from January 2015 to M arch 2018 in 15 hospitals in Sichuan province were collected and the ultrasonographic features of thyroid nodules were retrospectively analyzed by trained senior ultrasound physicians using Kwak and ACR T I‐RADS classification methods . Totally ,12 712 thyroid nodules were observed ,7 023 thyroid nodules in 7 023 cases with complete ultrasound and surgical and pathological data were eventually enrolled in the study . T hyroid nodules with solid ,hypoechoic or very hypoechoic ,tall/wide ratio ≥ 1 , margin ill‐defined and microcalcification were classified as malignant signs of ultrasound . M alignant percentage was calculated and diagnostic tests were performed . Results ① T here was a statistical difference between the benign and malignant nodules in the two types of T I‐RADS classification ( P＜0 .01) . ② T he area under ROC curve of Kwak and ACR in the diagnosis of malignant nodules were 0 .89 and 0 .84 ,respectively . T he Youden index of Kwak and ACR were 0 .66 and 0 .57 ,respectively . ③Taking Kwak T I4B and ACR T R4 as critical points for malignancy ,the sensitivity ,specificity ,positive predictive value and negative predictive value of Kwak T I 4B were 75 .0% ,90 .9% ,83 .2% ,and 85 .9% , respectively . T he accuracy of Kwak T I4B was 84 .9% ; T he sensitivity ,specificity ,positive predictive value and negative predictive value of ACR T R4 were 88 .2% ,68 .9% ,62 .9% ,and 90 .8% ,respectively . T he accuracy of ACR T R4 was 76 .2% . T he Kappa value of Kwak TI4B and ACR T R4 was 0 .52 . T he χ2 value of Kwak T I4B and ACR T R4 was 2 174 .6 ( P ＜ 0 .01 ) . Conclusions T he diagnostic values of two T I‐RADS classification methods for thyroid malignant nodules are high . T he overall efficiency of Kwak T I‐RADS classification method is better than that of ACR TI‐RADS classification method .

Objective To investigate the effect of long-term high-fat diet on cognitive function and hippocampus neurons ultrastructure in obese rats.Methods Forty SD rats were randomly assigned to a high fat diet (HFD) group and a common diet (CD) group.Meanwhile,HFD-induced obese rat model were established.The spatial learning and memory were measured by the Morris water maze,and the neurons ultrastructural changes in rat hippocampus CA1 region at the corresponding period were observed by transmission electron microscopy.Results The average weight of rats was 25％,28％,and 22％ higher in the HFD group than in the CD group at the 12,16,and 20 weeks,respectively;the Lee's indexes were 6％,4％,and 8％ higher;the average swimming latency were 52％,44％,and 40％ longer;the average swimming distance were 85％,45％,and 51％ longer;the average swimming speed were 57％,34％,and 18％ higher;the duration of staying in the target quadrant were 32％,54％,and 63％ shorter;and the average times of crossing the plate form were 30％,34％,and 34％ shorter,respectively (all P ＜0.001).In comparison of ultrastructure in hippocampus CA1 region of rats at corresponding time points,the amounts of degenerated and necrosis neurons,of the deformed and vacuolar mitochondria,and of the less rough endoplasmic reticulum were significantly more at 12,16,and 20 weeks in the HFD group than in the CD group.Conclusions Long-term HFD-induced obesity damages the structure of neurons in the hippocampus,impairs spatial learning and memory function,and accelerates cognitive aging in rats.