Association of Physical Activity with Phenotypic Age among Populations with Different Breakfast Habits.

BACKGROUND: The global aging situation has reached a serious stage, and healthy lifestyles, like regular physical activity and eating breakfast, could slow the process. Phenotypic age (PhenoAge) is regarded as a novel measure of aging. Therefore, our study aimed to quantify the impact of physical activity and eating breakfast on aging via PhenoAge and phenotypic age acceleration (PhenoAgeAccel). METHODS: A total of 3719 adults who participated in the National Health and Nutrition Examination Survey were involved in this study. Physical activity was divided into an active group and an inactive group. According to the number of reported breakfast recalls, eating breakfast was divided into the no recalls group, one recall group, and both recalls group. Sensitivity analysis was performed by stratified analysis. RESULTS: Active physical activity was a protective factor for PhenoAge and PhenoAgeAccel. Compared to the inactive group, the ß values of the active group were -8.36 (-10.09, -6.62) for PhenoAge and -1.67 (-2.21, -1.14) for PhenoAgeAccel. The stratified analysis results showed that in the groups reporting breakfast in both recalls, one recall, and no recalls, the ß values of the active group were -8.84 (-10.70, -6.98), -8.17 (-12.34, -4.00), and -3.46 (-7.74, 0.82), respectively, compared to the inactive group. CONCLUSIONS: Active physical activity was strongly correlated with lower values of PhenoAge and PhenoAgeAccel, but the association was no longer statistically significant when combined with not regularly eating breakfast.

Memory induced-mechanism of noise attenuator of myosin V molecular motors.

Depending on the chemical energy from ATP hydrolysis, myosin V can drive the multistep and continuous coupled cycling process to transport cellular cargo to targeted regions. However, it is still obscure how the molecular memory induced by the multistep coupled transported process could regulate the dynamic behavior of the motor state of myosin V. Here, we propose a novel non-Markovian polymorphic mechanochemical model to investigate the effect of the molecular memory on the mechanic of noise attenuation of myosin V system. We first define an effective transition rate for a multistep coupled reaction process which is the function of memory and system states to transform equivalently the non-Markovian process into the classical Markov process. By noise decomposition technology, it is observed that both the intrinsic and extrinsic noises of the ADP-myosin V bound state (AM ⋅ ADP) exhibit a monotonically decreasing trend with lengthening the molecular memory. Molecular memory as a regulation factor can amplify the contribution of intrinsic noise to the overall noise while reducing the influence of extrinsic noise on the AM ⋅ ADP. Moreover, the modulation of molecular memory could induce stochastic focusing. These results indicate that the role of molecular memory in the myosin V state transition can not only offer a handle to maintain the robustness of the motion system but also serve as a paradigm for studying more complex molecular motors.

Application of 3D-Printed Personalized Guide for Lateral Femoral Positioning in Anterior Cruciate Ligament Reconstruction of the Knee.

Objective: This research aims to investigate the effectiveness of 3D computer-assisted customized guided positioning of the lateral femoral tunnel compared to conventional methods for Anterior Cruciate Ligament (ACL) reconstruction surgery. Methods: A total of 80 patients with a complete ACL tear who underwent arthroscopic reconstruction with autologous tendon transplantation (semitendinosus-gracilis tendon) were included in this study. The patients were admitted to our hospital between March 2020 and January 2022 and were randomly divided into two groups: the conventional group (n = 40) and the personalized guide group (n = 40), based on the positioning method. The conventional group underwent ACL restoration using standard surgical techniques, while the personalized guide group opted for the more precise computer-assisted personalized guide method. The lateral femoral tunnel times were compared between both groups. Additionally, the International Knee Documentation Committee (IKDC) and Lysholm scores were assessed, and the lateral femoral location was evaluated using X-ray imaging at 2 weeks postoperatively. Results: After surgery, both groups showed a statistically significant increase (P < .05) in Lysholm and IKDC scores compared to their pre-surgery scores. However, the two groups had no evident difference (P > .05). X-ray evaluation at 2 weeks post-surgery revealed no significant difference between the two groups in NL/ML, AL/BL, α, and ß angles (P > .05). The preparation time for the femoral tunnel was significantly shorter in the personalized guide group (6.18 ± 0.92 min) compared to the traditional group (15.94 ± 3.12 min) (P < .05). Conclusions: The computer-assisted 3D personalized guide positioning method is more effective in locating the lateral femoral tunnel for ACL reconstruction of the knee and can substantially reduce the positioning time. This study provides valuable insights for clinicians when selecting surgical methods.

Identification of potential biomarkers in cervical cancer with combined public mRNA and miRNA expression microarray data analysis.

Cervical cancer is the fourth most prevalent malignancy in females worldwide. Early diagnosis is key to improving survival rates. Molecular biomarkers are an important method for diagnosing a number of types of cancer, including cervical cancer. The present study utilized public data from three mRNA microarray datasets and one microRNA dataset to analyze the key genes involved in cervical cancer. The mRNA and microRNA expression profile datasets (GSE9750, GSE46857, GSE67522 and GSE30656) were downloaded from the Gene Expression Omnibus database (GEO). Differentially expressed genes (DEGs) and microRNAs (DEMs) were screened using the online tool GEO2R. By using the DEGs consistent across the three mRNA datasets, a functional and pathway enrichment analysis was performed using the Database for Annotation, Visualization and Integrated Discovery. A protein-protein interaction (PPI) network was constructed and module analysis performed using the Search Tool for the Retrieval of Interacting Genes. Validated target genes of the DEMs were identified using the miRecords website. Using the identified target genes of the DEMs, a survival analysis was performed using the OncoLnc online tool. A total of 73 DEGs and 19 DEMs were screened from the microarray expression profile datasets. 'Integrin-mediated', 'proteolysis' and 'phosphoinositide 3 kinase-protein kinase 3' signaling pathways were the most enriched in the DEGs. Three of the DEGs, including Ras homolog family member B (RhoB), stathmin 1 (STMN1) and cyclin D1 (CCNB1) were validated DEM target genes. The OncoLnc survival analysis identified that RhoB was associated with a significantly longer overall survival, whereas STMN1 was associated with a significantly reduced overall survival time in patients with cervical cancer. Finally, data from The Cancer Genome Atlas revealed an association between the mRNA expression levels of RhoB and STMN1, and the overall survival time for patients with cervical cancer. In conclusion, RhoB and STMN1 were identified as key genes that may provide potential targets for cervical cancer diagnosis and treatment.

Improved Calcium Scoring at Dual-Energy Computed Tomography Angiography Using a High-Z Contrast Element and Novel Material Separation Technique.

OBJECTIVES: The aim of this study was to compare the accuracy of existing dual-energy computed tomography (CT) angiography coronary artery calcium scoring methods to those obtained using an experimental tungsten-based contrast material and a recently described contrast material extraction process (CMEP). METHODS: Phantom coronary arteries of varied diameters, with different densities and arcs of simulated calcified plaque, were sequentially filled with water, iodine, and tungsten contrast materials and scanned within a thorax phantom at rapid-kVp-switching dual-energy CT. Calcium and contrast density images were obtained by material decomposition (MD) and CMEP. Relative calcium scoring errors among the 4 reconstructed datasets were compared with a ground truth, 120-kVp dataset. RESULTS: Compared with the 120-kVp dataset, tungsten CMEP showed a significantly lower mean absolute error in calcium score (6.2%, P < 0.001) than iodine CMEP, tungsten MD, and iodine MD (9.9%, 15.7%, and 40.8%, respectively). CONCLUSIONS: Novel contrast elements and material separation techniques offer improved coronary artery calcium scoring accuracy and show potential to improve the use of dual-energy CT angiography in a clinical setting.