Background: Normalized creatinine-to-cystatin C ratio (NCCR) was reported to approximate relative skeletal muscle mass and diabetes risk. However, the association between NCCR and cardiometabolic multimorbidity (CMM) remains elusive. This study aimed to explore their relationship in a large-scale prospective cohort. Methods: This study included 5,849 middle-age and older participants from the China Health and Retirement Longitudinal Study (CHARLS) enrolled between 2011 and 2012. The baseline NCCR was determined as creatinine (mg/dL)/cystatin C (mg/L)×10/body mass (kg). CMM was defined as the simultaneous occurrence of two or more of the following conditions: heart disease, stroke, and type 2 diabetes mellitus. Logistic regression analysis and Cox regression analysis were employed to estimate the relationship between NCCR and CMM. The joint effect of body mass index and NCCR on the risk of CMM were further analyzed. Results: During a median 4-year follow-up, 227 (3.9%) participants developed CMM. The risk of CMM was significantly decreased with per standard deviation increase of NCCR (odds ratio, 0.72; 95% confidence interval, 0.62 to 0.85) after adjustment for confounders (P<0.001). Further sex-specific analysis found significant negative associations between NCCR and CMM in female either without or with one CMM component at baseline, which was attenuated in males but remained statistically significant among those with one basal CMM component. Notably, non-obese individuals with high NCCR levels had the lowest CMM risk compared to obese counterparts with low NCCR levels in both genders. Conclusion High NCCR was independently associated with reduced risk of CMM in middle-aged and older adults in China, particularly females.

Background: Normalized creatinine-to-cystatin C ratio (NCCR) was reported to approximate relative skeletal muscle mass and diabetes risk. However, the association between NCCR and cardiometabolic multimorbidity (CMM) remains elusive. This study aimed to explore their relationship in a large-scale prospective cohort. Methods: This study included 5,849 middle-age and older participants from the China Health and Retirement Longitudinal Study (CHARLS) enrolled between 2011 and 2012. The baseline NCCR was determined as creatinine (mg/dL)/cystatin C (mg/L)×10/body mass (kg). CMM was defined as the simultaneous occurrence of two or more of the following conditions: heart disease, stroke, and type 2 diabetes mellitus. Logistic regression analysis and Cox regression analysis were employed to estimate the relationship between NCCR and CMM. The joint effect of body mass index and NCCR on the risk of CMM were further analyzed. Results: During a median 4-year follow-up, 227 (3.9%) participants developed CMM. The risk of CMM was significantly decreased with per standard deviation increase of NCCR (odds ratio, 0.72; 95% confidence interval, 0.62 to 0.85) after adjustment for confounders (P<0.001). Further sex-specific analysis found significant negative associations between NCCR and CMM in female either without or with one CMM component at baseline, which was attenuated in males but remained statistically significant among those with one basal CMM component. Notably, non-obese individuals with high NCCR levels had the lowest CMM risk compared to obese counterparts with low NCCR levels in both genders. Conclusion High NCCR was independently associated with reduced risk of CMM in middle-aged and older adults in China, particularly females.

Background: Normalized creatinine-to-cystatin C ratio (NCCR) was reported to approximate relative skeletal muscle mass and diabetes risk. However, the association between NCCR and cardiometabolic multimorbidity (CMM) remains elusive. This study aimed to explore their relationship in a large-scale prospective cohort. Methods: This study included 5,849 middle-age and older participants from the China Health and Retirement Longitudinal Study (CHARLS) enrolled between 2011 and 2012. The baseline NCCR was determined as creatinine (mg/dL)/cystatin C (mg/L)×10/body mass (kg). CMM was defined as the simultaneous occurrence of two or more of the following conditions: heart disease, stroke, and type 2 diabetes mellitus. Logistic regression analysis and Cox regression analysis were employed to estimate the relationship between NCCR and CMM. The joint effect of body mass index and NCCR on the risk of CMM were further analyzed. Results: During a median 4-year follow-up, 227 (3.9%) participants developed CMM. The risk of CMM was significantly decreased with per standard deviation increase of NCCR (odds ratio, 0.72; 95% confidence interval, 0.62 to 0.85) after adjustment for confounders (P<0.001). Further sex-specific analysis found significant negative associations between NCCR and CMM in female either without or with one CMM component at baseline, which was attenuated in males but remained statistically significant among those with one basal CMM component. Notably, non-obese individuals with high NCCR levels had the lowest CMM risk compared to obese counterparts with low NCCR levels in both genders. Conclusion High NCCR was independently associated with reduced risk of CMM in middle-aged and older adults in China, particularly females.

Background: Normalized creatinine-to-cystatin C ratio (NCCR) was reported to approximate relative skeletal muscle mass and diabetes risk. However, the association between NCCR and cardiometabolic multimorbidity (CMM) remains elusive. This study aimed to explore their relationship in a large-scale prospective cohort. Methods: This study included 5,849 middle-age and older participants from the China Health and Retirement Longitudinal Study (CHARLS) enrolled between 2011 and 2012. The baseline NCCR was determined as creatinine (mg/dL)/cystatin C (mg/L)×10/body mass (kg). CMM was defined as the simultaneous occurrence of two or more of the following conditions: heart disease, stroke, and type 2 diabetes mellitus. Logistic regression analysis and Cox regression analysis were employed to estimate the relationship between NCCR and CMM. The joint effect of body mass index and NCCR on the risk of CMM were further analyzed. Results: During a median 4-year follow-up, 227 (3.9%) participants developed CMM. The risk of CMM was significantly decreased with per standard deviation increase of NCCR (odds ratio, 0.72; 95% confidence interval, 0.62 to 0.85) after adjustment for confounders (P<0.001). Further sex-specific analysis found significant negative associations between NCCR and CMM in female either without or with one CMM component at baseline, which was attenuated in males but remained statistically significant among those with one basal CMM component. Notably, non-obese individuals with high NCCR levels had the lowest CMM risk compared to obese counterparts with low NCCR levels in both genders. Conclusion High NCCR was independently associated with reduced risk of CMM in middle-aged and older adults in China, particularly females.

Objective To conduct an in-depth analysis and feature extraction of the transcriptomics data of 10 types of cancers in order to realize the staging diagnosis of cancer samples.Methods The transcriptomics data of the top 10 cancers having the highest incidence were amassed from the UCSC Xena website,which comprised 4 938 samples and 59 428 genes.With the aid of variational autoencoder,we developed an incremental feature ranking and selection variational autoencoder(IFRSVAE)based on feature importance ranking and incorporating the masking algorithm and the Incremental Feature Selection(IFS).Subsequently,the performance efficiency of our IFRSVAE model was evaluated in conjunction with Random Forest(RF),Support Vector Machine(SVM),and eXtreme Gradient Boosting(XGboost),and it was also compared with other methods.Results Our research extracted 21 features for the ensuing classification.In comparison to the conventional variational autoencoder,recursive feature elimination,and Lasso regression models,the IFRSVAE model attained more favorable performance across all 3 classifiers(highest AUC value,and well performed other indicators).Notably,the IFRSVAE-RF exhibited the most outstanding performance,with an AUC value reaching 85.49%(95%CI:83.24%～87.74%).Moreover,Shapley additive explanations(SHAP)interpretable model illustrated well contributions of the features in our model.Conclusion Our developed IFRSVAE shows certain effectiveness in feature extraction.The constructed IFRSVAE-RF model demonstrates relatively good performance in the task of cancer staging diagnosis,which providing a new and referable idea for research orientation of deep-learning-based diagnostic methods for cancer staging.

ObjectiveTo investigate the effects of Guizhi Jia Longgu Mulitang on the expression difference of interleukin-10 （IL-10） and tumor necrosis factor -α （TNF-α） in related organs of insomnia rats with sensory dysfunction dominated by lung and study the mechanism of Guizhi Jia Longgu Mulitang in improving insomnia. MethodSD rats were randomly divided into the blank group， model group， western medicine group， and traditional Chinese medicine （TCM） group， with 10 rats in each group. The rats were deprived of sleep by shallow water environment method in a long platform， and the modeling lasted for 42 d. The blank group and model group were given 0.05 mL·kg^-1 normal saline by gavage， and the western medicine group and TCM group were given drugs during modeling. To be specific， the western medicine group was given 0.105 mg·kg^-1 dexzopiclone tablet by gavage， while the TCM group was given 7 600 mg·kg^-1 Guizhi Jia Longgu Mulitang by gavage， both lasting for 28 days. After successful modeling， the Morris water maze experiment was performed on the 42nd day to detect the motion and spatial memory ability of rats. The levels of IL-10 and TNF-α in serum were detected by enzyme-linked immunosorbent assay （ELISA）. The protein expression of IL-10 and TNF-α in the lung and brain tissue of rats was detected by Western blot. The levels of IL-10 and TNF-α in the lung and brain tissue of rats were detected by immunohistochemistry. ResultCompared with the blank group， the sleep stages non-rapid eye movement ( NREM ) and rapid eye movement ( REM ) of the model group were significantly shortened （P<0.5， P<0.01）， and the wake stage was significantly increased （P<0.01）. The total time and distance of platform exploration were significantly increased （P<0.01）. In the target quadrant （the third quadrant）， the percentage of exploration time and the times of crossing the platform were significantly decreased （P<0.01）. ELISA results showed that the serum IL-10 level was significantly decreased （P<0.01）， and TNF-α level was significantly increased （P<0.01）. The results of Western blot showed that the protein expression of IL-10 in brain and lung tissue of rats was significantly decreased （P<0.01）， and the protein expression of TNF-α was significantly increased （P<0.01）. The results of immunohistochemistry showed that the expression of IL-10 in the brain and lung tissue of rats was significantly decreased （P<0.01）， and that of TNF-α was significantly increased （P<0.01）. Compared with the model group， the NREM stage and REM stage of the western medicine group and the TCM group were significantly increased （P<0.5， P<0.01）， and the wake stage was shortened （P<0.5）. The total time and distance of platform exploration were significantly decreased （P<0.01）. In the target quadrant （the third quadrant）， the percentage of exploration time and the times of crossing the platform were significantly increased （P<0.05， P<0.01）. The serum IL-10 level was significantly increased （P<0.01）， and the serum TNF-α level was significantly decreased according to the ELISA results （P<0.01）. The results of Western blot showed that the protein expression of IL-10 in brain tissue and lung tissue was significantly increased （P<0.01）， and the protein expression of TNF-α was significantly decreased （P<0.01）. The results of immunohistochemistry showed that the expression of IL-10 in brain tissue and lung tissue was significantly increased （P<0.05， P<0.01）， and the expression of TNF-α was significantly decreased （P<0.05， P<0.01）. ConclusionGuizhi Jia Longgu Mulitang can improve the expression of IL-10 and TNF-α in brain and lung tissue of insomnia rats with sensory dysfunction dominated by lung， prolong sleep time， and then improve insomnia. The mechanism may be related to improving the expression level of inflammatory factors.

Objective:To explore the causal relationship between human immune cells and hypertrophic scar (HS) using two-sample bidirectional Mendelian randomization (MR) method.Methods:This study was based on two-sample MR method, and the datasets of 731 immune cells and HS were obtained from the genome-wide association study (GWAS) catalog database and Finngen database, respectively. A significance threshold was established to discern single nucleotide polymorphism (SNP) significantly correlated with immune cells or HS, thereby eliminating the impact of weak instrumental variable bias. The inverse variance weighted (IVW) method (meanwhile, the Benjamini-Hochberg (BH) procedure of false discovery rate (FDR) to adjust P values) was used for preliminary detection of the causal relationship between immune cells and HS and screen the immune cells that had a significant causal relationship with HS. Further, the causal relationship between the selected immune cells and HS was detected through five two-sample MR methods: IVW method, weighted median method, simple mode method, weighted mode method, and MR-Egger method, and the scatter plot was drawn. SNPs conformed to the hypothesis were subjected to Cochran Q test for heterogeneity assessment, MR-Egger regression coupled with MR-PRESSO to eliminate horizontal pleiotropic effects, and a leave-one-out analysis was also conducted to determine if significant results were driven by individual SNP. Finally, the IVW method contained in the two-sample MR analysis was utilized to inversely examine the causal relationship between HS and immune cells. Results:The number of SNPs in 731 immune cells reaching the significance threshold varied from 7 to 1 786, while in HS, 119 SNPs met the significance threshold, with the F values of all SNPs being greater than 10, suggesting a low likelihood of bias from weak instrumental variables. The IVW method revealed that 60 types of immune cells potentially had a causal relationship with HS (with all P values <0.05), and after adjustment using the BH method, only CD45RA and CD39 positive regulatory T cell (Treg) maintained a potentially strong causal relationship with HS ( PFDR<0.05). The IVW method (with odds ratio of 1.16 and 95% confidence interval of 1.08-1.24, P<0.05, PFDR<0.05), weighted median method (with odds ratio of 1.16 and 95% confidence interval of 1.05-1.28, P<0.05), weighted mode method (with odds ratio of 1.14 and 95% confidence interval of 1.02-1.27, P<0.05), and MR-Egger method (with odds ratio of 1.18 and 95% confidence interval of 1.07-1.30, P<0.05) of scatter plot all suggested a causal relationship between the 14 SNPs of CD45RA and CD39 positive Treg and risk of HS, only simple mode method of scatter plot suggested a not obvious relationship between the 14 SNPs of CD45RA and CD39 positive Treg and risk of HS ( P>0.05). Cochran Q test indicated no heterogeneity in the causal relationship between CD45RA on CD39 positive Treg and HS ( P>0.05). MR-Egger regression and MR-PRESSO analyses showed that there was no horizontal pleiotropy in the significant causal relationship between CD45RA and CD39 positive Treg and HS ( P>0.05). Leave-one-out analysis confirmed that the significant causal relationship between CD45RA and CD39 positive Treg and HS remained stable after sequentially removing individual SNP. Reverse two-sample MR analysis showed that HS had no potential causal relationship with any of the 731 types of immune cells ( P>0.05). Conclusions:From the perspective of genetics, it is revealed that immune cells CD45RA and CD39 positive Treg may increase the risk of HS.

Objective To explore the mechanism of Yanggan Anhun Decoction in the treatment of insomnia with liver failing in storing soul type based on network pharmacological methods;To perform animal model validation.Methods The drug components and targets of Yanggan Anhun Decoction were retrieved from TCMSP and BATMAN-TCM databases,and the targets of insomnia with liver failure store soul type were retrieved from GeneCards,NCBI and DisGeNET databases.By constructing a protein-protein interaction(PPI)network and analyzing GO and KEGG pathway enrichment,the signaling pathway of Yanggan Anxin Decoction in treating insomnia with liver failing in storing soul type was determined,and molecular docking was performed between the main active components and core targets.24 SD rats were randomly divided into normal group,model group,TCM group and Western medicine group,with 6 rats in each group.The insomnia model rats with liver failing in storing soul type were constructed by compound multi factor stimulation method,and were given drugs for 14 days.The cognitive memory ability of rats were detected by Morris water maze test;Nissl staining was used to observe the morphology and number of Nissl bodies in the hypothalamus of rats;serum IL-6 and TNF-α contents were detected by ELISA;IL-6 and TNF-α in hypothalamus and Bcl-2,Bax protein expression levels of rats were detected by immunohistochemistry.The relative expressions of p38 MAPK,p-p38 MAPK,Bcl-2,Bax proteins in the hypothalamus of rats were detected by Western blot.Results A total of 301 active components,321 potential targets and 92 key targets were obtained.Key active components such as quercetin,kaempferol,luteolin,wogonin,sebiferic acid and β-sitosterol,as well as core targets such as MAPK,IL6 and TNF were obtained after screening.The key targets mainly focused on various signaling pathways such as TNF signaling pathway,MAPK signaling pathway,PI3K-Akt signaling pathway,dopaminergic synapse,and neuroactive ligand-receptor interaction,etc.Kaempferol,quercetin,digitonin and other flavonoids had good binding activity and stability with MAPK,TNF,IL6 and showed good affinity.The results of animal experiments showed that,compared with the normal group,the cognitive memory ability of the model group decreased(P<0.05),Nissl bodies were stained shallowly,the density was lower,the cell body was shrunk and deformed,the cell nucleus was broken and dissolved,and the serum and hypothalamic IL-6,TNF-α increased(P<0.05),the expressions of p-p38 MAPK/p38 MAPK and Bax in hypothalamus increased(P<0.05),while the expressions of Bcl-2 and Bcl-2/Bax decreased(P<0.05);compared with the model group,the cognitive memory ability of the TCM group and the Western medicine group were improved,the number of Nissl bodies significantly increased,the nucleus was clear,the cell body shrinkage and deformation were improved(P<0.05),the levels of IL-6 and TNF-α in serum and hypothalamus decreased(P<0.05),while the expressions of p-p38 MAPK/p38 MAPK and Bax decreased,and the expression of Bcl-2 and Bcl-2/Bax increased(P<0.05).Conclusion Yanggan Anhun Decoction may play its effects in treating insomnia with liver failing in storing soul type by regulating MAPK,TNF,IL6,Bcl-2,Bax and other core targets,and interfering with p38MAPK signaling pathway.

Objective:To automatically classify hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) based on mul-titask learning algorithm using native T1 mapping images.Methods:A total of 203 patients admitted to Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University from January 2017 to December 2021 were enrolled, including 53 patients with HHD, 121 patients with HCM, and 29 patients with normal control (NC). Native T1 mapping images of all enrolled patients were acquired using MRI and processed by a multi-task learning algorithm. The classification performance of each model was validated using ten-fold crossover, confusion matrix, and receiver operator characteristic (ROC) curves. The Resnet 50 model based on the original images was established as a control.Results:The ten-fold crossover validation results showed that the MTL-1 024, MTL-64, and MTL-all models showed better performance in terms of area under the curve (AUC), accuracy, sensitivity, and specificity compared to the Resnet 50 model. In the classification task, the MTL-64 model showed the best performance in terms of AUC (0.942 1), while the MTL-all model reached the highest value in terms of accuracy (0.852 2). In the segmentation task, the MTL-64 model achieved the best results with the Dice coefficient (0.879 7). The confusion matrix plot showed that the MTL model outperforms the Resnet 50 model based on the original image in terms of overall performance. The ROC graphs of all MTL models were significantly higher than the original image input Resnet 50 model.Conclusions:Multi-task learning-based native T1 mapping images are effective for automatic classification of HHD and HCM.