The co-occurrence of glyphosate (GPS), a commonly used organophosphorus herbicide, and cadmium (Cd), a neurotoxic metal, in agricultural environments prompts concerns about their combined toxic effects on ecosystems. This study explores the combined effects of GPS and Cd on the model organism Caenorhabditis elegans (C. elegans), to understand their cumulative effects in organismal living environments. We investigated the interaction between GPS and Cd over 24 hours using a comprehensive approach that included a variety of toxicity endpoints as well as the novel Automated Recognition and Statistics Tool (NCLE) for body bend measurement. Our data show a concentration-dependent interplay in which antagonistic effects at lower concentrations reduce phenotypic damage while synergistic effects emerge at higher concentrations, particularly at GPS's LC50. Transcriptome analysis under antagonistic conditions revealed significant downregulation of Cd toxicity-related genes and identified Y22D7AL.16, which has a C2H2-type zinc finger domain, as a novel gene involved in metal stress response, implying an alternative Cd-resilience mechanism. The expression profile of this gene shows that it plays a larger role in both development and metal stress adaption. These findings highlight the complexities of compound pollutant interactions, emphasizing the importance of including such dynamics in environmental risk assessments and control techniques.

Glycation Stress (GS), induced by advanced glycation end-products (AGEs), significantly impacts aging processes. This study introduces a new model of GS of Caenorhabditis elegans by feeding them Escherichia coli OP50 cultured in a glucose-enriched medium, which better simulates human dietary glycation compared to previous single protein–glucose cross-linking methods. Utilizing WormCNN, a deep learning model, we assessed the health status and calculated the Healthy Aging Index (HAI) of worms with or without GS. Our results demonstrated accelerated aging in the GS group, evidenced by increased autofluorescence and altered gene expression of key aging regulators, daf-2 and daf-16. Additionally, we observed elevated pharyngeal pumping rates in AGEs-fed worms, suggesting an addictive response similar to human dietary patterns. This study highlights the profound effects of GS on worm aging and underscores the critical role of computer vision in accurately assessing health status and aiding in the establishment of disease models. The findings provide insights into glycation-induced aging and offer a comprehensive approach to studying the effects of dietary glycation on aging processes.

Introduction: Circular RNA CDR1as/ciRS-7 has been reported to function as an oncogenic regulator in various cancers. However, the prognostic value of CDR1as/ciRS-7 expression in solid tumors remains unclear. Herein, we conducted an updated meta-analysis to investigate the association between CDR1as/ciRS-7 expression and clinical outcomes in solid tumors.Methods: A systematic search was performed through the PubMed, EMBASE, Web of Science, and Ovid databases for eligible studies on clinical values of CDR1as/ciRS-7 in solid tumors. The pooled hazard ratios (HRs) or odd ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the correlation between CDR1as/ciRS-7 and clinical outcomes.Results: A total of 2424 patients from 17 studies between 2017 and 2023 were included. The results suggested that elevated CDR1as/ciRS-7 expression predicted a poor overall survival (OS) for 12 types of solid tumors (HR=1.93, 95% CI: 1.43-2.60, P<0.001) with no heterogeneity (I2 = 80.2%, P<0.001). Stratified analysis indicated that there was a negative relationship between CDR1as/ciRS-7 expression and OS in digestive system cancers (HR=2.30, 95% CI: 1.84-2.88, P<0.001), and respiratory cancers (HR=2.40, 95% CI: 1.75-3.30, P<0.001). Furthermore, we also revealed that CDR1as/ciRS-7 was positively related to tumor size (OR=2.11, 95%CI: 1.64-2.71, P<0.001), TNM stage (OR=2.05, 95%CI: 1.65-2.54, P<0.001), lymph node metastasis (LNM) (OR=1.74, 95%CI: 1.38-2.21, P<0.001), and distant metastasis (OR=2.79, 95%CI: 1.71-4.55, P<0.001). Although the probable evidence of publication bias was found in the studies with OS, tumor size, TNM stage, and LNM, the trim and fill analysis confirmed the reliability of these results was not affected.Conclusion: Elevated CDR1as/ciRS-7 expression was associated with larger tumor size, advanced TNM stage, worse LNM, distant metastasis, and shorter OS, suggesting that CDR1as/ciRS-7 may act as an independent prognostic biomarker in solid tumors.

L-theanine, a non-protein amino acid naturally occurring in tea leaves, is recognized for its antioxidant, anti-inflammatory, and neuroprotective properties. Despite its known benefits, the mechanisms by which L-theanine influences lifespan extension remain poorly understood. This study investigated the effects of L-theanine on the lifespan of Caenorhabditis elegans and explored the underlying mechanisms. Our findings indicate that L-theanine significantly diminishes the accumulation of advanced glycation end products (AGEs), which are biomarkers closely linked to aging and age-related diseases. Through an AGE-level analysis, we observed that L-theanine, when administered during early adulthood, notably extended the lifespan of Caenorhabditis elegans under both normal and high-glucose-induced stress conditions. L-theanine enhanced the lifespan under typical conditions and provided protective effects against high-glucose-induced stress. A further analysis demonstrated that L-theanine extends the lifespan of Caenorhabditis elegans by modulating the DAF-2/DAF-16 insulin-like signaling pathway and reducing the accumulation of advanced glycation end products (AGEs). In summary, this study identified L-theanine as a potential anti-aging intervention that extends the lifespan by reducing AGE accumulation and regulating insulin-like signaling pathways. These findings provide new insights for developing anti-aging strategies and lay the groundwork for further research on the potential benefits of L-theanine in mammals. Future studies could explore the molecular mechanisms, test L-theanine in mammalian models, and assess the long-term side effects.

Despite the growing interest in developing anti‐aging drugs, high costs and low success rates of traditional drug discovery methods pose significant challenges. Aging is a complex biological process associated with numerous diseases, making the identification of compounds that can modulate aging mechanisms critically important. Accelerating the discovery of potential anti‐aging compounds is essential to overcome these barriers and enhance lifespan and healthspan. Here, we present ElixirSeeker, a machine learning framework designed to maximize feature capture of lifespan‐extending compounds through multi‐fingerprint fusion mechanisms. Utilizing this approach, we identified several promising candidate drugs from external compound databases. We tested the top six hits in Caenorhabditis elegans and found that four of these compounds—including Praeruptorin C, Polyphyllin VI, Thymoquinone, and Medrysone—extended the organism's lifespan. This study demonstrates that ElixirSeeker effectively accelerates the identification of viable anti‐aging compounds, potentially reducing costs and increasing the success rate of drug development in this field.