BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

Objective:To investigate the independent risk factors of recurrent laryngeal nerve(RLN)injury after microwave ablation(MWA)for thyroid nodules of different malignant stratification.Methods:The medical records of 240 patients,who underwent microwave ablation for thyroid nodules in the department of ultrasound,Beijing Friendship Hospital Affiliated to Capital Medical University from September 2022 to August 2024,were retrospectively selected.All thyroid nodule cases were categorized based on the American College of Radiology Thyroid Imaging Reporting and Data System(TI-RADS)classification criteria and whether occurred RLN injury during the ablation procedure.A total of 54 patients with RLN injury and 65 patients without RLN injury,who were classified as TI-RADS 4a or higher than that,were divided into the high-risk group,and 35 patients with RLN injury and 86 patients without RLN injury,who were classified below TI-RADS 4a,were divided into the low-risk group.And then,a series of parameters included the benign and malignant nodules,the upper diameter of nodules,the left and right diameters of nodules,anteroposterior diameters of nodules,the aspect ratio(>1,≤1),overall echo,calcification,location,cystic solidity,and ablation parameters were analyzed.The risk factors of RLN injury of two groups were analyzed by using single factor and multi factor analysis.Results:There were not significant differences in the benign and malignant nodules,the upper diameters of nodules,the left and right diameters of nodules,anteroposterior diameters of nodules,the volume of nodules,overall echo,calcification,ldiametersocation,and cystic solidity between high and low-risk groups(P>0.05).In high-risk group,the distance between nodules and esophageal groove of trachea was less or equal to 2mm,and the increase of nodule volume were independent risk factors for RLN injury(OR=4.199,1.002,P<0.05),respectively.In the low-risk group,the nodule,which location was on the Zuckerkandl tubercle(Z-nodule),was risk factor that significantly increased RLN injury(OR=3.296,P<0.05).Conclusion:For nodules with differently malignant risk,the anatomical location,volume parameters and optimized ablation plan should be paid special attention before surgery,so as to reduce the risk of RLN injury.

AIM:To investigate the role and mechanism of the glucagon-like peptide-1 receptor agonist lira-glutide(Lira)in regulating ferroptosis of mouse insulinoma MIN6 cells induced by high glucose and high fat.METHODS:The mouse insulinoma MIN6 cells were exposed to 30 mmol/L glucose and 500 μmol/L palmitic acid to establish an islet β cell injury model.On this basis,a ferroptosis inducer erastin,a ferroptosis inhibitor ferrostatin-1(Fer-1),and low and high concentrations of Lira were administered.Cell viability of different treatment groups were detected by CCK-8 assay.The malondialdehyde(MDA)kit was used to determine the changes in intracellular MDA content.The reactive oxygen species(ROS)kit was used to detect the changes in the ROS level of cells.The Fe2+fluorescence probe FerroOrange and mitochondrial membrane potential(JC-1)were used to detect the intracellular Fe2+levels and mitochondrial functions in different treatment groups.The mouse insulin ELISA kit was used to detect the insulin secretion of cells.RT-qPCR was used to detect the changes in the expression levels of key ferroptosis genes and insulin secretion genes in different treat-ment groups.Western blot was used to detect the expression levels of key ferroptosis proteins,glutathione peroxidase 4(GPX4)and solute carrier family 7 member 11(SLC7A11)in different treatment groups.RESULTS:Compared with the cells treated with high glucose and high fat,after treatment with Fer-1 and high-dose Lira,the cell viability,insulin secre-tion of the cells,and mitochondrial membrane potential all increased significantly,the levels of ROS,MDA and Fe2+were decreased(P<0.05).The results of RT-qPCR showed that Fer-1 and high-dose Lira significantly upregulated the expres-sion of genes promoting insulin secretion(P<0.05).The results of Western blot showed that Fer-1 and high-dose Lira sig-nificantly upregulated the expression of ferroptosis-inhibiting proteins GPX4 and SLC7A11(P<0.05).CONCLUSION:Liraglutide inhibits ferroptosis of mouse insulinoma MIN6 cells by regulating the SLC7A11/GPX4 signaling pathway,there-by improving the damage and dysfunction of MIN6 cells induced by high glucose and high fat.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.

BACKGROUND:The imbalance between proliferation and apoptosis of chondrocytes plays an important role in the occurrence and development of osteoarthritis. Previous studies have found that hsa-miR-3202 is involved in regulating the proliferation and apoptosis of various cells. However,no studies have explored the correlation between hsa-miR-3202 and osteoarthritis.OBJECTIVE:To investigate the expression of hsa-miR-3202 in osteoarthritic chondrocytes and its effect on the proliferation and apoptosis of chondrocytes. METHODS:(1) MicroRNAs differentially expressed in osteoarthritic chondrocytes were screened by biogenic analysis. Based on the current research situation at home and abroad,hsa-miR-3202 was selected for follow-up studies,and its target genes were predicted by gene ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. (2) Human normal chondrocyte cell lines C28/I2 in logarithmic growth phase were selected and randomly divided into four groups for culture:in normal group,cells were cultured in normal medium for 24 hours,the medium was then changed to normal medium for another 6 hours of culture,and changed to normal medium for subsequent culture;in lipopolysaccharide group,cells were cultured in lipopolysaccharide-containing medium for 24 hours,the medium was then changed to normal medium for another 6 hours,and changed to normal medium for subsequent culture;in lipopolysaccharide+NC group,cells were cultured in lipopolysaccharide-containing medium for 24 hours,and then transfected with has-miR-3202 mimics control for 6 hours,and the medium was change to normal medium for subsequent culture;in lipopolysaccharide+hsa-miR-3202 mimics group,cells were cultured in lipopolysaccharide-containing medium for 24 hours and then transfected with has-miR-3202 mimics for 6 hours,and the medium was changed to normal medium for subsequent culture. After further 48 hours of culture,the expression level of hsa-miR-3202 was detected by fluorescence quantitative PCR and cell apoptosis was detected by flow cytometry. After further culture of 0-72 hours,cell proliferation activity was detected by cell counting kit-8. RESULTS AND CONCLUSION:Bioinformatics analysis results indicated that hsa-miR-3202 was significantly down-regulated in osteoarthritic chondrocytes. GO functional enrichment and KEGG pathway enrichment showed that the function of hsa-miR-3202 target gene was closely related to cell growth and apoptosis. The results of in vitro cell experiments showed that compared with the normal group,the expression level of hsa-miR-3202 and proliferation ability of chondrocytes were significantly decreased in the lipopolysaccharide group (P<0.05),while the apoptotic rate was significantly increased (P<0.05). Compared with the lipopolysaccharide group,the expression level of hsa-miR-3202 and proliferation ability of chondrocytes were significantly increased in the lipopolysaccharide+hsa-miR-3202 mimics group (P<0.05),while the apoptotic rate was significantly decreased (P<0.05). To conclude,the expression of hsa-miR-3202 is down-regulated in osteoarthritic chondrocytes to inhibit cell proliferation and promote cell apoptosis,thus affecting the occurrence and development of osteoarthritis.

AIM:To investigate the role and mechanism of the glucagon-like peptide-1 receptor agonist lira-glutide(Lira)in regulating ferroptosis of mouse insulinoma MIN6 cells induced by high glucose and high fat.METHODS:The mouse insulinoma MIN6 cells were exposed to 30 mmol/L glucose and 500 μmol/L palmitic acid to establish an islet β cell injury model.On this basis,a ferroptosis inducer erastin,a ferroptosis inhibitor ferrostatin-1(Fer-1),and low and high concentrations of Lira were administered.Cell viability of different treatment groups were detected by CCK-8 assay.The malondialdehyde(MDA)kit was used to determine the changes in intracellular MDA content.The reactive oxygen species(ROS)kit was used to detect the changes in the ROS level of cells.The Fe2+fluorescence probe FerroOrange and mitochondrial membrane potential(JC-1)were used to detect the intracellular Fe2+levels and mitochondrial functions in different treatment groups.The mouse insulin ELISA kit was used to detect the insulin secretion of cells.RT-qPCR was used to detect the changes in the expression levels of key ferroptosis genes and insulin secretion genes in different treat-ment groups.Western blot was used to detect the expression levels of key ferroptosis proteins,glutathione peroxidase 4(GPX4)and solute carrier family 7 member 11(SLC7A11)in different treatment groups.RESULTS:Compared with the cells treated with high glucose and high fat,after treatment with Fer-1 and high-dose Lira,the cell viability,insulin secre-tion of the cells,and mitochondrial membrane potential all increased significantly,the levels of ROS,MDA and Fe2+were decreased(P<0.05).The results of RT-qPCR showed that Fer-1 and high-dose Lira significantly upregulated the expres-sion of genes promoting insulin secretion(P<0.05).The results of Western blot showed that Fer-1 and high-dose Lira sig-nificantly upregulated the expression of ferroptosis-inhibiting proteins GPX4 and SLC7A11(P<0.05).CONCLUSION:Liraglutide inhibits ferroptosis of mouse insulinoma MIN6 cells by regulating the SLC7A11/GPX4 signaling pathway,there-by improving the damage and dysfunction of MIN6 cells induced by high glucose and high fat.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.