Objective To explore the feasibility of constructing a three-classification bone status screening radiomics model on chest CT images.Methods A total of 371 patients who underwent both chest and abdominal plain CT examinations were retrospec-tively selected and randomly divided into training set(296 cases)and test set(75 cases)in a ratio of 8︰2.Additionally,110 patients were included as external validation set using the same criteria.The 120 kVp abdominal images were transmitted to a quantitative compu-ted tomography(QCT)post-processing workstation to measure the bone mineral density(BMD)of the L1-L2 vertebral bodies.Patients were classified into osteoporosis(OP)group(BMD<80 mg/cm3),osteopenia group(80 mg/cm3≤BMD≤120 mg/cm3)and normal bone mass group(BMD>120 mg/cm3)based on QCT BMD results.The automatic segmentation model was used to segment T10-T12 vertebral trabecular bone on chest CT images and the radiomics models based on random forest(RF)and logistic regres-sion(LR)was established to evaluate BMD,enabling it to simultaneously distinguish OP,osteopenia,and normal bone mass.The diag-nostic performance of the two models were evaluated using metrics such as the area under the curve(AUC),sensitivity and specificity.The DeLong test was used to compare the differences between the two models.Results In the test set,the AUC for differentiating normal bone mass were 0.948 and 0.877 for the RF and LR models,respectively;the AUC for differentiating OP were 0.942 and 0.836,respectively;and the AUC for differentiating osteopenia were 0.871 and 0.688,respectively.The performance comparison results of the models showed that there was no statistically significant difference in AUC(0.966 vs 0.907,P>0.05)between RF model and LR model in the external validation set for distinguishing OP,while there was a statistically significant difference in AUC for distinguishing osteopenia(0.895 vs 0.749,P=0.009)and normal bone mass(0.975 vs 0.906,P=0.023).The RF model performance was superior to the LR model.Conclusion The radiomics model developed based on chest plain CT can be used for opportunistic OP screening with good diagnostic efficacy,and the the model based on the RF classifier outperforms the LR model.

N-dodecanoyl-l-homoserine lactone (C12-HSL) is a signaling molecule that mediates bacterial quorum sensing, regulating bacterial population behaviors. This study investigated the effects of C12-HSL on the isolation and cultivation of gut microbiota, with the goal of enriching the diversity and number of cultivable bacterial strains from the mouse gut microbiota. Using a culture medium supplemented with C12-HSL, we isolated and cultivated bacterial strains from mouse intestinal contents, obtaining a total of 235 isolates. Preliminary identification based on the 16S rRNA gene revealed 54 bacterial species, including 4 potential new species, 4 potential new genera and 1 potential new family. Compared with the previously established mouse gut microbial biobank (mGMB), this study newly identified 42 bacterial species, enhancing the diversity of the strain library. Statistical analysis showed that the proportion of Gram-negative bacteria, particularly those belonging to Proteobacteria, isolated by this method was significantly higher than that obtained by conventional isolation and cultivation methods without the addition of C12-HSL. Subsequent cultivation experiments with one of the newly discovered bacterial species indicated that exogenous C12-HSL at 20-200 μmol/L significantly promoted the growth of this species, while higher concentrations of C12-HSL significantly reduced the cell density of this bacterium. This work confirms that quorum sensing molecules, such as C12-HSL, can enhance the growth, isolation, and cultivation of Gram-negative bacteria in the gut within a specific concentration range. Although the mechanism by which C12-HSL promotes the growth of gut bacterial strains requires further investigation, the findings of this study provide new insights into the targeted isolation, cultivation, and regulation of gut microbiota using bacterial quorum sensing signal molecules.
Animals ; Mice ; Acyl-Butyrolactones/pharmacology* ; Gastrointestinal Microbiome/drug effects* ; Quorum Sensing ; Gram-Negative Bacteria/classification* ; Intestines/microbiology* ; RNA, Ribosomal, 16S/genetics* ; Culture Media

Objective: To investigate the regulatory role of ABCG5 in head and neck squamous cell carcinoma. Methods : Immunohistochemical staining was used to detect the expression of ABCG5 in 105 patients with hypopharyngeal carcinoma,and the relationship between the expression and the long-term survival time of the patients was analyzed.Immunowestern blotting and flow cytometry were used to detect the expression of ABCG5 in head and neck squamous cell carcinoma cell lines.Flow sorting was employed to investigate the differences in proliferation and metastasis,spheroidization ability,and expression of stem cell molecules between ABCG5 positive and negative cells.si RNA interference was used to further demonstrate whether ABCG5 affects the malignant phenotype. Results: ABCG5 was associated with poor prognosis in patients with hypopharyngeal carcinoma.ABCG5 was enriched in stem cells of head and neck squamous cell carcinoma.ABCG5-positive cells had stronger proliferation(P<0.001),metastasis(P<0.01),and spheroid formation abilities(P<0.001) than negative cells.The expression levels of some stem cell molecules(SOX2、NANOG、SOX9、OCT4、CD44) in ABCG5-positive cells were higher than those in ABCG5-negative cells.The expression of epithelial cell protein E-cadherin was lower in ABCG5-positive cells than that in ABCG5-negative cells,and the expression of interstitial cell proteins N-cadherin,Slug,Snail 1,and Vimentin were higher(P<0.01).Moreover,interfering with ABCG5 expression significantly inhibited tumor cell spheroid formation(P<0.001),as well as the expression of proteins related to cancer stem cells and epithelial-mesenchymal transition. Conclusion ABCG5 has a potential biological role in maintaining the function of head and neck squamous cell carcinoma stem cells.

Objective:To investigate the effect of securinine(SEC)on apoptosis of the human colon cancer cell line SW620,and to elucidate its possible mechanism.Methods:The nude mice with subcutaneously transplanted tumor were divided into control group(n=6),oxaliplatin(OXA)group(n=7),and SEC group(n=7).The volume and mass of subcutaneous tumors in the nude mice were measured in various groups,and the tumor inhibitory rates in various groups were calculated.The SW620 cells were treated with different doses(5-120 μmol·L-1)of SEC for 12,24,48,and 72 h,respectively.Cell counting kit-8(CCK-8)assay was used to assess the survival rates of cells in various groups,and the optimal doses of SEC were confirmed.The SW620 cells were divided into control group,20 μmol·L-1 SEC group,40 μmol·L-1SEC group,and 40 μmol·L-1OXA group.TUNEL staining method and flow cytometry were used to detect the apoptotic rates of cells in various groups.JC-1 staining was used to detect the mitochondrial membrane potentials of cells in various groups,and 2',7'-dichlorodi-hydrofluorescin diacetate(DCFH-DA)fluorescence staining and flow cytometry were used to measure the reactive oxygen species(ROS)levels in the cells in various groups.Western blotting method was used to detect the expression levels of cytochrome C,B-cell lymphoma-2(Bcl-2),Bcl-2-associated X protein(Bax),c-Jun N-terminal kinase(JNK),phosphorylated JNK(p-JNK),mitogen-activated protein kinase p38,phosphorylated p38(p-p38),extracellular signal-regulated kinase(ERK)and phosphorylated ERK(p-ERK)proteins in the cells in various groups.Results:Compared with control group,the volume and mass of subcutaneously transplanted tumors in the nude mice in SEC group were significantly decreased(P＜0.05 or P＜0.01 or P＜0.001);the inhibitory rates of tumor in SEC group and OXA group were 20.42％and 6.50％.The CCK-8 assay results showed that compared with 0 μmol·L-1 SEC,when the SEC dose exceeded 20 μmol·L-1,the survival rates of SW620 cells were significantly decreased(P＜0.001).The optimal condition for subsequent experiments was set as doses of 20 μmol·L-1SEC and 40 μmol·L-1SEC,and duration of 24 h.The TUNEL results showed that compared with control group,the apoptotic rates of cells in 20 and 40 μmol·L-1 SEC groups were significantly increased(P＜0.05 or P＜0.001).The results of flow cytometry showed that compared with control group,the apoptotic rate in 40 μmol·L-1SEC group was significantly increased(P＜0.001).The JC-1 staining results showed that compared with control group,the mitochondrial membrane potentials of cells in 20 and 40 μmol·L-1 SEC groups were significantly decreased(P＜0.001).Compared with control group,the levels of ROS detected by DCFH-DA fluorescence staining in the cells of 20 and 40 μmol·L-1 SEC groups and 40 μmol·L-1 OXA group were significantly increased(P＜0.001),while the level of ROS detected by flow cytometry in 40 μmol·L-1SEC group was significantly increased(P＜0.05).Compared with control group,the expression levels of Bcl-2 protein in the cells in 20 and 40 μmol·L-1 SEC groups and 40 μmol·L-1 OXA group were decreased(P＜0.01),while the expression levels of cytochrome C and Bax proteins were increased(P＜0.001).Compared with control group,the ratios of p-JNK/JNK,p-p38/p38 and p-ERK/ERK in 20 and 40 μmol·L-1 SEC groups were significantly increased(P＜0.05 or P＜0.01 or P＜0.001).Conclusion:SEC can inhibit the proliferation of SW620 cells,increase the cellular ROS levels,reduce the mitochondrial membrane potential,and induce the mitochondrial apoptosis;its mechanism may be related to the regulation of the mitogen-activated protein kinase(MAPK)signaling pathway.

Objective To develop an automated bone mineral density(BMD)assessment model based on proximal femur images from abdomen-pelvic CT scans and to analyze its application value in opportunistic osteoporosis(OP)screening.Methods A retrospective selection was conducted on 351 patients who underwent abdomen-pelvic plain CT examination.The patients were randomly divided into training set(n=245)and test set(n=106)in a ratio of 7∶3.All images were transferred to a quantitative computed tomography(QCT)post-processing workstation to measure the BMD of the left proximal femur.According to the QCT BMD T-score,the patients were divided into osteoporosis(T-score-2.5),osteopenia(-2.5＜T-score＜-1)and normal bone density(T-score≥-1).The left proximal femur was dissected using an automatic segmentation model,and two three-class BMD assessment radiomics models were constructed using random forest(RF)and logistic regression(LR)classifiers,respectively.The receiver operating characteristic(ROC)curves were generated,and the area under the curve(AUC),sensitivity,specificity and other metrics were calculated to evaluate the diagnostic performance of the two models.The DeLong test was used to compare differences between the models.Results In the test set,the AUC of the RF and LR models for identifying osteoporosis were 0.953 and 0.954,respectively.The AUC for identifying osteopenia were 0.894 and 0.870,and the AUC for identifying normal bone density were 0.975 and 0.982,respectively.The comparison of model performance showed no statistically significant differences between the RF and LR models in identifying the three bone states in both the training and test sets(P＞0.05).Conclusion Both the RF and LR radiomics models,constructed based on abdomen-pelvic plain CT scans,can be used for opportunistic BMD screening with high diagnostic efficiency.

Objective To explore the feasibility of constructing a three-classification bone status screening radiomics model on chest CT images.Methods A total of 371 patients who underwent both chest and abdominal plain CT examinations were retrospec-tively selected and randomly divided into training set(296 cases)and test set(75 cases)in a ratio of 8︰2.Additionally,110 patients were included as external validation set using the same criteria.The 120 kVp abdominal images were transmitted to a quantitative compu-ted tomography(QCT)post-processing workstation to measure the bone mineral density(BMD)of the L1-L2 vertebral bodies.Patients were classified into osteoporosis(OP)group(BMD<80 mg/cm3),osteopenia group(80 mg/cm3≤BMD≤120 mg/cm3)and normal bone mass group(BMD>120 mg/cm3)based on QCT BMD results.The automatic segmentation model was used to segment T10-T12 vertebral trabecular bone on chest CT images and the radiomics models based on random forest(RF)and logistic regres-sion(LR)was established to evaluate BMD,enabling it to simultaneously distinguish OP,osteopenia,and normal bone mass.The diag-nostic performance of the two models were evaluated using metrics such as the area under the curve(AUC),sensitivity and specificity.The DeLong test was used to compare the differences between the two models.Results In the test set,the AUC for differentiating normal bone mass were 0.948 and 0.877 for the RF and LR models,respectively;the AUC for differentiating OP were 0.942 and 0.836,respectively;and the AUC for differentiating osteopenia were 0.871 and 0.688,respectively.The performance comparison results of the models showed that there was no statistically significant difference in AUC(0.966 vs 0.907,P>0.05)between RF model and LR model in the external validation set for distinguishing OP,while there was a statistically significant difference in AUC for distinguishing osteopenia(0.895 vs 0.749,P=0.009)and normal bone mass(0.975 vs 0.906,P=0.023).The RF model performance was superior to the LR model.Conclusion The radiomics model developed based on chest plain CT can be used for opportunistic OP screening with good diagnostic efficacy,and the the model based on the RF classifier outperforms the LR model.

Objective To evaluate the quality of ketoconazole lotion produced by different domestic companies.Methods Legal standards and exploratory research were used to conduct a comprehensive evaluation of 45 batches(40 batch numbers)of ketoconazole lotion for national drug sampling inspection in 2024,including related substances,antioxidant content,packaging oxygen permeability,in vitro permeation test,and viscosity,antibacterial efficacy,irritation,microstructure,etc.Results The legal standard inspection pass rate was 100.0%.Correlation analysis found that the main factors affecting the quality of this product are prescription technology and packaging.Conclusion It is recommended that manufacturers optimize the prescription process as soon as possible,and pay attention to choose suitable packaging materials,effectively improve the quality of ketoconazole lotion.

Objective To evaluate the quality of ketoconazole lotion produced by different domestic companies.Methods Legal standards and exploratory research were used to conduct a comprehensive evaluation of 45 batches(40 batch numbers)of ketoconazole lotion for national drug sampling inspection in 2024,including related substances,antioxidant content,packaging oxygen permeability,in vitro permeation test,and viscosity,antibacterial efficacy,irritation,microstructure,etc.Results The legal standard inspection pass rate was 100.0%.Correlation analysis found that the main factors affecting the quality of this product are prescription technology and packaging.Conclusion It is recommended that manufacturers optimize the prescription process as soon as possible,and pay attention to choose suitable packaging materials,effectively improve the quality of ketoconazole lotion.

Objective To develop an automated bone mineral density(BMD)assessment model based on proximal femur images from abdomen-pelvic CT scans and to analyze its application value in opportunistic osteoporosis(OP)screening.Methods A retrospective selection was conducted on 351 patients who underwent abdomen-pelvic plain CT examination.The patients were randomly divided into training set(n=245)and test set(n=106)in a ratio of 7∶3.All images were transferred to a quantitative computed tomography(QCT)post-processing workstation to measure the BMD of the left proximal femur.According to the QCT BMD T-score,the patients were divided into osteoporosis(T-score-2.5),osteopenia(-2.5＜T-score＜-1)and normal bone density(T-score≥-1).The left proximal femur was dissected using an automatic segmentation model,and two three-class BMD assessment radiomics models were constructed using random forest(RF)and logistic regression(LR)classifiers,respectively.The receiver operating characteristic(ROC)curves were generated,and the area under the curve(AUC),sensitivity,specificity and other metrics were calculated to evaluate the diagnostic performance of the two models.The DeLong test was used to compare differences between the models.Results In the test set,the AUC of the RF and LR models for identifying osteoporosis were 0.953 and 0.954,respectively.The AUC for identifying osteopenia were 0.894 and 0.870,and the AUC for identifying normal bone density were 0.975 and 0.982,respectively.The comparison of model performance showed no statistically significant differences between the RF and LR models in identifying the three bone states in both the training and test sets(P＞0.05).Conclusion Both the RF and LR radiomics models,constructed based on abdomen-pelvic plain CT scans,can be used for opportunistic BMD screening with high diagnostic efficiency.

A Clinical pharmacist was fully involved in the anticoagulation drug treatment management process of a 104-year-old patient with a large area of cerebral infarction combined with chronic kidney disease stage Ⅴ and secondary deep vein thrombosis.After the patient was diagnosed with deep vein thrombosis,the clinical pharmacist comprehensively analyzed the patient's super-advanced age,history of atrial fibrillation,large area of cerebral infarction,extremely poor kidney function,deep vein thrombosis,and high bleeding risk indicated by the HAS-BLED score.They worked with the clinical doctor to develop an individualized anticoagulation treatment strategy for the patient.At the beginning of the treatment,warfarin was given to the patient at a daily dose of 1.25 mg,and the patient's coagulation indicators and kidney function were dynamically rechecked.The patient's blood creatinine level did not show significant changes throughout the anticoagulation treatment process.On the 8th day of medication,the patient's INR was 2.47,and the clinical pharmacist suggested adjusting the Warfarin to an alternate-day dose of 1.25 mg and 0.625 mg.Subsequently,the patient's INR was 2.41,and the condition improved,leading to discharge.Throughout the anticoagulation drug management process,the clinical pharmacist participated in the clinical decision-making for anticoagulant drug selection,provided professional medication guidance,and pharmacological monitoring to ensure the safe clinical use of drugs for special populations.