AI Predicts Human Appearance in 3025 Lipid Metabolism Links to Cholangiocarcinoma, NSCLC Prognosis

AI models project potential human appearances in 3025, considering globalization, technology, and genetics. Experts at the Daily Mail used Google's ImageFX to create speculative images suggesting a possible future look. Some scientists propose that sexual selection and global genetic mixing could lead to physical trait homogenization, resulting in shorter stature, balanced features, uniform skin tones, and less variable facial features. Technological impacts, according to Robert Brooks from the University of New South Wales, might reduce the need for large brains due to AI dependence. Nicholas Longrich from the University of Bath suggests humans may be evolving into a self-controlled "domesticated ape". Constant use of electronics could also reshape the human body. Studies indicate that a hunched posture from prolonged computer and smartphone use may become common, and hands might develop a "claw" shape from manipulating mobile devices. A study employing Mendelian randomization (MR) explored causal links among immune cells, the lipidome, and cholangiocarcinoma (CCA). The analysis revealed significant correlations between CCA and the levels of Sphingomyelin (d34:1), Phosphatidylcholine (0-16:0, 22:5), and Sterol ester (27:1/16:0). Immune cells were found to mediate the impact of the lipidome on CCA; for example, Sphingomyelin (d34:1) can affect CCA through IgD on IgD+ CD38- unswitched memory (unsw mem) B cell (B cell panel), IgD on unsw mem (B cell panel) and Naive CD4+ %CD4+ (maturation stages of T cell). The study suggests the lipidome could be a therapeutic target in treating CCA. Research identified lactate metabolism-related genes from NSCLC scRNA-Seq, pinpointing 364 tumor-specific lactate-related genes. Analysis of TCGA-LUAD, GSE13213, and GSE31210 cohorts revealed that patients in the LM-low group demonstrated significantly better survival outcomes compared to the LM-high group. A tumor prognostic prediction model using genetic algorithm and Elastic Cox (GA-EnCox) identified five key LM-related prognostic genes: LYPD3, KRT8, CCT6A, PSMB7, and HMGA1. This model consistently demonstrated excellent performance across multiple independent validation datasets. Further analysis showed that the high-risk group exhibited elevated activity in cell proliferation pathways and reduced activity in immune response pathways. The low-risk group had higher proportions of most immune cell types. The study also found that risk score significantly influenced patient drug response and immune therapy response. Immunohistochemical (IHC) quantification results from the Human Protein Atlas (HPA) showed that HMGA1, KRT8, PSMB7, and CCT6A were highly expressed in tumor tissues. In-house cohort studies validated the prognostic effect of HMGA1 and KRT8 protein expression. Functional assays confirmed that HMGA1 plays a crucial role in promoting colony formation, invasion, migration, and wound healing in NSCLC cell lines.