Prostate cancer is the most common cancer among men and the fifth leading cause of cancer-related death among men worldwide. Gastrin-releasing peptide receptor (GRPR) is an important complementary target of prostate specific membrane antigen (PSMA) and a key target for prostate cancer diagnosis and treatment. Radionuclide labeled bombesin (BBN) analogues can accurately target overexpressed GRPR in tumor cells, thus providing early diagnosis and treatment of prostate cancer. In this review, we focus on the studies of 99Tc m, 111In, 68Ga, 64Cu, 18F, and 177Lu nuclide-labeled BBN analogues for diagnosis and peptide receptor radionuclide therapy.

Ribosomopathies encompass a spectrum of disorders arising from impaired ribosome biogenesis and reduced functionality.Mutation or dysexpression of the genes that disturb any finely regulated steps of ribosome biogenesis can result in different types of ribosomopathies in clinic,collectively known as ribosomopathy genes.Emerging data suggest that ribosomopathy patients exhibit a significantly heightened susceptibility to cancer.Abnormal ribosome biogenesis and dysregulation of some ribo-somopathy genes have also been found to be intimately associated with cancer development.The cor-relation between ribosome biogenesis or ribosomopathy and the development of malignancies has been well established.This work aims to review the recent advances in the research of ribosomopathy genes among human cancers and meanwhile,to excavate the potential role of these genes,which have not or rarely been reported in cancer,in the disease development across cancers.We plan to establish a theoretical framework between the ribosomopathy gene and cancer development,to further facilitate the potential of these genes as diagnostic biomarker as well as pharmaceutical targets for cancer treatment.

Objective To explore the optimal ratio of Baitong decoction based on efficacy,clarify its spectrum-effect relationship,and identify its potential quality markers.Methods An ulcerative colitis(UC)model in mice was established using dextran sulfate sodium.The efficacy of Baitong decoction with varying drug ratios was assessed by evaluating the apparent score,pathological score and inflammatory factor changes of UC in each group of experimental animals.The fingerprints of Baitong decoction with different ratios were established by high performance liquid chromatography(HPLC),and the relationship between the content of each substance and its efficacy was analyzed by partial least squares regression to determine the potential quality markers of Baitong decoction.Results Baitong decoction was most effective in relieving ulcerative colitis when the mass ratio of Fuzi,Ganjiang and Congbai was 1∶2∶2.The fingerprinting identified 14 common peaks across 7 ratios,with 9 peaks were found to be associated with the remission of ulcerative colitis by partial least squares regression analysis.Conclusion The optimal ratio of Fuzi,Ganjiang and Congbai for treating UC is 1∶2∶2.The spectrum-effect relationship analysis suggested that the quality markers of Baitong decoction may be the substances represented by peak 2(benzoylaconine),3,5,6,8(mesaconine),9(aconitine),10(hypaconitine),13(10-gingerol)and 14.

Objective:To investigate the relationship between the outcome of skin injury and urinary arsenic methylation metabolism levels in people exposed to arsenic through drinking water.Methods:Using cluster sampling method, permanent residents from drinking-water-borne endemic arsenic poisoning areas in Bayannur City, Inner Mongolia Autonomous Region were selected as survey subjects in 2004 (before water improvement). In 2017 (after water improvement), 74 survey subjects from 2004 were tracked and followed up. Urine samples were collected from survey subjects and high-performance liquid chromatography inductively coupled plasma mass spectrometry was used to detect the levels of arsenic methylation metabolites in urine. According to the "Diagnosis of Endemic Arsenic Poisoning" (WS/T 211-2015), the clinical grading (normal, suspicious, mild, moderate and severe) of skin injury of the survey subjects and the outcome of 2017 (improved, unchanged, aggravated) were assessed. A database was established and SPSS 25.0 software was used for statistical analysis.Results:The clinical grading ratios of skin injuries among survey subjects in 2004 and 2017 were compared, the differences were statistically significant (normal, suspicious, mild, moderate and severe: 38, 18, 4, 14 cases in 2004 and 27, 31, 3, 13 cases in 2017, χ 2 = 53.02, P < 0.001). Compared with 2004, in 2017, the levels of total arsenic (tAs), inorganic arsenic (iAs), monomethylarsenic (MMA), dimethylarsenic (DMA), percentage of inorganic arsenic (iAs%), and ratio of monomethylarsenic to dimethylarsenic (MMA/DMA) in the urine of survey subjects were low, and the differences were statistically significant ( Z = - 8.24, - 9.07, - 7.81, - 8.04, - 8.24, - 3.56, P < 0.001). The levels of dimethylarsenic percentage (DMA%), monomethylation rate (PMI) and dimethylation rate (SMI) were higher, and the differences were statistically significant ( Z = - 6.39, - 8.24, - 3.52, P < 0.001). In 2004, patients with different clinical grading of skin injuries had different outcomes in 2017 (χ 2 = 30.80, P < 0.001). There were statistically significant differences in tAs, iAs, MMA and DMA variation in urine among skin injury patients with different outcomes ( H = 10.62, 9.35, 8.80, 9.13, P < 0.05). Conclusions:Improving water can significantly reduce the levels of tAs, iAs, MMA, and DMA in the urine of arsenic exposed individuals. The outcome of skin injury in individuals exposed to arsenic through drinking water is related to the variation of urinary arsenic methylation metabolites tAs, iAs, MMA, and DMA.

OBJECTIVE To construct the simulated traditional Chinese medicine pharmacy based on virtual simulation technology， and assist in the development of the new mode of traditional Chinese medicine dispensing education training. METHODS The field research and questionnaire surveys were conducted to identify the needs of Chinese medicine students and practitioners for the content and presentation of knowledge on the construction of simulated traditional Chinese medicine pharmacy. Taking the laws and regulations on the construction of traditional Chinese medicine pharmacy and the related teaching materials and literature on traditional Chinese medicine preparation as the knowledge source， the virtual simulation technology was applied to build a simulated traditional Chinese medicine pharmacy so as to achieve the functions of browsing the traditional Chinese medicine pharmacy， learning the knowledge of traditional Chinese medicine preparation and practical skills training. A multi-site simulated traditional Chinese medicine pharmacy evaluation scale study was conducted based on platform operational testing. RESULTS A simulated traditional Chinese medicine pharmacy was constructed， consisting of four core modules： video teaching， animation video， simulated pharmacy， and simulated experience. The overall score of evaluation scale was 93.31， with all entries scoring above 80； the ones with evaluation scales above 90 accounted for 92.31% （60/65）. CONCLUSIONS Simulated traditional Chinese medicine pharmacy based on virtual simulation technology meets the learning needs of users and enhances the teaching effect of traditional Chinese medicine dispensing technology training.

Objective:To investigate the arsenic metabolism pattern and possible influencing factors in the population in drinking-water-borne endemic arsenic poisoning (drinking-water-borne arsenic poisoning for short) areas.Methods:In December 2004, a cluster sampling method was used to select arsenic poisoning population (arsenic poisoning group) and healthy population (control group) in drinking-water-borne arsenic poisoning area of Bayannur City, Inner Mongolia Autonomous Region as the survey subjects. A questionnaire survey was conducted. Arsenic content in drinking water at home of survey subjects, the levels of urinary arsenic and its metabolites, including [trivalent arsenic (As Ⅲ), inorganic arsenic (iAs), monomethylarsenic acid (pentavalent, MMA V), dimethylarsenic acid (pentavalent, DMA V), total arsenic (tAs), percentage of inorganic arsenic (iAs%), percentage of monomethylarsenic acid (MMA%), percentage of dimethylarsenic acid (DMA%), primary methylation index (PMI), secondary methylation index (SMI)] were tested using high performance liquid chromatography-inductively coupled plasma mass spectrometry; nail arsenic and nail selenium levels were tested using atomic fluorescence spectrometer. The influencing factors of arsenic metabolism pattern were analyzed by multiple linear regression. Results:A total of 536 survey subjects were included, including 155 individuals in the arsenic poisoning group and 381 in the control group. The water arsenic level ranged from 0.0 to 825.7 μg/L. Compared with the control group, there was no significant difference in the distribution of gender, education level and dental fluorosis in the arsenic poisoning group ( P > 0.05), but there were significant differences in the distribution of age, marital status, smoking, drinking and water arsenic ( P < 0.05). Compared with the control group, the levels of urinary As Ⅲ, iAs, MMA V, DMA V, tAs, MMA%, MMA/DMA and nail arsenic in the arsenic poisoning group were higher ( P < 0.05), while the levels of urinary DMA%, SMI and nail selenium were lower ( P < 0.05); but there was no statistically significant difference in the levels of urinary iAs% and PMI ( P > 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary As Ⅲ (β = - 19.82, - 23.83, 0.61, 0.21, 7.26, 2.98, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary tAs (β = 3.18, 3.25, 1.31, 15.59, P < 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary iAs (β = - 20.47, - 25.90, 0.64, 0.25, 7.87, 3.11, P < 0.05). Age, gender, education level, water arsenic and nail arsenic were the influencing factors of urinary MMA V (β = 0.52, - 17.07, - 21.84, 0.22, 2.77, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary DMA V (β = 2.35, 2.47, 0.85, 9.22, P < 0.05). Conclusions:Compared with healthy individuals, there are differences in arsenic metabolism pattern among individuals with drinking-water-borne arsenic poisoning. Age, gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic may be influencing factors of different arsenic metabolism patterns.

Objective To explore the mechanism of 3-methyladenine(3-MA)for alleviating early diabetic renal injury.Methods Mouse models of streptozotocin(STZ)-induced diabetes mellitus were randomized into model group and 3-MA treatment group for daily treatments with normal saline and 10 mg/kg 3-MA by gavage for 6 weeks,respectively.Body weight and fasting blood glucose of the mice were recorded every week.After the treatments,the kidneys of the mice were collected for measurement kidney/body weight ratio,examination of glomerular size with PAS staining,and detection of α-SMA and PCNA expressions using Western blotting and immunohistochemistry.SV40 MES 13 cells cultured in normal glucose(5.6 mmol/L)and high glucose(30 mmol/L)were treated with 24.4 mmol/L mannitol and 5 mmol/L 3-MA for 24 h,respectively,and the changes in cell viability and PCNA expression were examined using CCK8 assay and Western blotting.Bioinformatics analysis of the intersecting gene targets of diabetic kidney disease(DKD)and 3-MA was performed,and the results were verified by Western blotting both in vivo and in vitro.Results In the diabetic mice,treatment with 3-MA produced a short-term hypoglycemic effect,reduced the kidney/body weight ratio and glomerular hypertrophy,and decreased the expressions of α-SMA and PCNA in the renal cortex.In the in vitro study,3-MA significantly lowered the viability and reduced PCNA expression in SV40 MES 13 cells exposed to high glucose.The results of bioinformatic analysis identified AKT1 as the key gene in the therapeutic mechanism of 3-MA for DKD.Western blotting confirmed that 3-MA inhibited the phosphorylation of AKT and S6 in both the renal cortex of diabetic mice and high glucose-treated SV40 MES 13 cells.Conclusion 3-MA suppresses mesangial cell proliferation and alleviates early diabetic renal injury in mice possibly by inhibiting AKT signaling.

Objective To explore the mechanism of 3-methyladenine(3-MA)for alleviating early diabetic renal injury.Methods Mouse models of streptozotocin(STZ)-induced diabetes mellitus were randomized into model group and 3-MA treatment group for daily treatments with normal saline and 10 mg/kg 3-MA by gavage for 6 weeks,respectively.Body weight and fasting blood glucose of the mice were recorded every week.After the treatments,the kidneys of the mice were collected for measurement kidney/body weight ratio,examination of glomerular size with PAS staining,and detection of α-SMA and PCNA expressions using Western blotting and immunohistochemistry.SV40 MES 13 cells cultured in normal glucose(5.6 mmol/L)and high glucose(30 mmol/L)were treated with 24.4 mmol/L mannitol and 5 mmol/L 3-MA for 24 h,respectively,and the changes in cell viability and PCNA expression were examined using CCK8 assay and Western blotting.Bioinformatics analysis of the intersecting gene targets of diabetic kidney disease(DKD)and 3-MA was performed,and the results were verified by Western blotting both in vivo and in vitro.Results In the diabetic mice,treatment with 3-MA produced a short-term hypoglycemic effect,reduced the kidney/body weight ratio and glomerular hypertrophy,and decreased the expressions of α-SMA and PCNA in the renal cortex.In the in vitro study,3-MA significantly lowered the viability and reduced PCNA expression in SV40 MES 13 cells exposed to high glucose.The results of bioinformatic analysis identified AKT1 as the key gene in the therapeutic mechanism of 3-MA for DKD.Western blotting confirmed that 3-MA inhibited the phosphorylation of AKT and S6 in both the renal cortex of diabetic mice and high glucose-treated SV40 MES 13 cells.Conclusion 3-MA suppresses mesangial cell proliferation and alleviates early diabetic renal injury in mice possibly by inhibiting AKT signaling.

Objective:To explore the construction of a Logistic prediction model and countermeasures for type 2 diabetic nephropathy based on clinical data.Methods:The patients with type 2 diabetic nephropathy admitted to Shijiazhuang Second Hospital from September 2019 to September 2021 (study group) were selected and the patients were selected according to a 1∶1 ratio using individual matching (control group), each group with 200 patients. Single and multiple factors analysis were used to analyze the factors influencing type 2 diabetic nephropathy, and Logistic regression equation models were developed to verify their predictive value.Results:Logistic regression equation model showed that the course of type 2 diabetes, glycosylated hemoglobin (HbA 1c), fasting plasma glucose (FPG), homocysteine (Hcy), urinary microalbumin, and serum creatinine (Scr) were high risk factors for type 2 diabetic nephropathy ( P<0.05). The results of Logistic regression model evaluation showed that the model was established with statistical significance, and the coefficients of the regression equations had statistically significant differences. The Hosmer-Lemeshow goodness-of-fit test showed that the model fitting effect was good. Logistic regression model was used to statistically analyzed the data set, and the receiver operating characteristic (ROC) curve of type 2 diabetic nephropathy was drawn, the area under the curve was 0.949(95% CI 0.922 - 0.968), the prediction sensitivity was 81.50%, the specificity was 95.50%, the calibration curve showed that the predicted results was in good agreement with the observed results. Conclusions:The independent predictors of type 2 diabetic nephropathy involve HbA 1c, FPG, Hcy, urinary microalbumin. The Logistic prediction model based on these predictors has reliable predictive value and can help guide clinical diagnosis and treatment.

Objective To understand the current status of research on lung cancer immunotherapy to provide a reference for further investigation and future topic selection in this field. Methods CiteSpace visualization analysis software was used to analyze 400 Chinese studies in CNKI and 5 001 English studies in the Web of Science database from 2005 to 2021, with "lung cancer" and "immunotherapy" as keywords. Keyword co-occurrence analysis was performed on 17 English studies of "Lung Cancer" "Immunotherapy" and "Single cell sequencing" in the Web of Science database. Results "Non-small cell lung cancer" "immunosuppressants" "PD-L1" "dendritic cells" and "cytokine-induced killer cells" are current research hotspots in lung cancer immunotherapy. Monoclonal antibody drugs including nivolumab, pembrolizumab, atezolizumab, and durvalumab are hotspot drugs. Immunotherapy combined with chemotherapy as well as PD-L1 expression have become the focus of continuous research. The majority of studies on lung cancer immunotherapy are conducted in the United States, followed by China. Conclusion Lung cancer immunotherapy has gradually become a research hot spot in China. In the future, in-depth research is needed to provide cutting-edge directions for lung cancer immunotherapy.