PER3 (Period Circadian Regulator 3)

These findings collectively suggest that PER3 regulated biological behaviors of lung adenocarcinomatous cells through activating the AMPK/mTOR pathway. PER3 may be a promising biomarker and therapeutic target for lung adenocarcinoma.

Core circadian genes represent promising candidate biomarkers for both cancer survival risk stratification and immunotherapy response prediction. They further enable the development of high-accuracy machine learning models to predict immunotherapy responses.

These results suggest that smoking status may modulate the association between DTC and polymorphisms in circadian genes. Further studies are needed to confirm these findings.

This meta-analysis highlights the role of genetic variation in predicting radiotherapy-induced skin toxicity in breast cancer patients. These findings support the future development of predictive biomarkers and personalized radiotherapy strategies to minimize treatment-related toxicity.

Upregulation of FABP5 and CD36 suggests a novel molecular mechanism involving FABP5 in AhR-mediated circadian regulation and identifies CD36 as a potential partner for FABP5 in BMAT-MSCs. Overall, this study unveils the interplay between AhR signaling, circadian rhythm, and the leukemia microenvironment in BMAT-MSCs, offering new insights into leukemia pathogenesis and therapeutic opportunities.

Genetic susceptibility to an evening-like chronotype prone to overweight/obesity seems to be associated with a smaller serving size during breakfast, with lower protein and carbohydrate content.

Moreover, Cry2 overexpression upregulated the efflux-related transporters (Atp7a and Mrp2). These results suggest that Cry2 protects against cisplatin toxicity by reducing Pt accumulation and increasing the expression of Atp7a and Mrp2.

Decitabine combined with LW6 upregulated PER3, downregulated HIF-1α, and inhibited lymph node metastasis of OSCC in nude mice. Our findings reveal the role and mechanism of HIF-1α regulation by PER3 and support the potential clinical application of targeting PER3 in treating OSCC metastasis.

In conclusion, the oscillation of circulating immune cells is profoundly altered in patients with CS, representing a convergence point of circadian rhythm disruption and metabolic and steroid hormone imbalances. Machine learning techniques proved the superiority of immune profiling over parameters such as cortisol, anthropometric and metabolic variables, and circadian gene expression analysis to identify CS activity.

This study suggests that living conditions, climate, and other external factors directly influence the genetic structure of populations and vary across races and geographic locations. In addition, many of the selection variants in the PER1, PER2, PER3 genes appear to regulate biological processes that are associated with major modern diseases, including obesity, cancer, metabolic syndrome, bipolar personality disorder, depression, rheumatoid arthritis, diabetes mellitus, lupus erythematosus, stroke and Alzheimer's disease, making them extremely interesting targets for further research aimed at identifying the genetic causes of human disease.

Our findings advanced the mechanistic understanding of variations in PER3 expression in cancers and confirmed the tumor-associated function of PER3 hypermethylation and downregulation.

Also, twenty-six miRNAs, including miR-10a, miR-21, miR-107, and miR-34, were identified as potential post-transcriptional regulators influenced by NSW. In conclusion, a panel of clock genes and circadian miRNAs are suggested as BC susceptibility biomarkers among night shift workers, supporting implications for risk stratification and early detection strategies.