Objective To investigate the role of mitochondrial autophagy-related genes in color-ectal cancer using machine learning algorithms to analyze single-cell sequencing data and spatial tran-scriptomics data.Methods Key mitochondrial autophagy-related genes were screened using Support Vector Machine-Recursive Feature Elimination(SVM-RFE)and Random Forest algorithms.Compre-hensive assessments of cell-cell interactions,pseudo-time analysis,and gene spatial localization were conducted by integrating single-cell sequencing data and spatial transcriptomics data.Knockdown ex-periments were performed on the identified core genes to verify their effects on the proliferation,mi-gration,and invasion capabilities of colorectal cancer cells.Results RPS5 was identified as a core gene in the progression of colorectal cancer.RPS5-positive epithelial cells were primarily located in the tumor core region and interacted with fibroblasts.Immunohistochemical experiments demonstrated that RPS5 expression was significantly higher in colorectal cancer tissues compared to adjacent tis-sues.Functional experiments showed that knockdown of RPS5 significantly inhibited the proliferation,migration,and invasion capabilities of colorectal cancer cells.Conclusion RPS5 is a key molecule promoting the progression of colorectal cancer,which provides a new potential target for precision therapy in colorectal cancer.

Objective To investigate the relationship and potential pathways between metal(loid)exposure and the risk of polycystic ovary syndrome(PCOS)in women of childbearing age. Methods This case-control study included 200 patients with PCOS(cases)and 896 non-PCOS controls with the age of 25-37 years.The concentrations of 29 metal(loid)s in the follicular fluid(FF)and clinical indicators in the serum were measured in all participants.Logistic regression analysis and mediation analysis were conducted to evaluate the associations between metal(loid)exposure and PCOS risk and investigate the possible roles of clinical indicators,respectively. Results Logistic regression analysis revealed an association between high copper levels in FF and increased PCOS risk(highest vs.lowest quartile:adjusted odds ratio=2.94,95%confidence interval:1.83-4.72).A high luteinizing hormone/follicle-stimulating hormone ratio and elevated levels of testosterone and anti-Müllerian hormone(AMH)were strongly associated with increased PCOS risk induced by high copper exposure.The mediation analysis indicated a mediating effect of AMH in the association between copper exposure and PCOS risk. Conclusion Copper may affect PCOS risk through the hypothalamic-pituitary-ovarian axis,mediated by AMH.Copper exposure and internal AMH levels are important indicators for early warning of PCOS development.