ArticleMolecular diversity2026
JAK3 identified as a key toxicological target of aristolochic acid in clear cell renal cell carcinoma.
Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Aristolochic acid (AA) is a naturally occurring toxin widely present in traditional herbal medicines and is well known for its nephrotoxic and carcinogenic effects. Its association with clear cell renal cell carcinoma (ccRCC) has attracted increasing attention, yet the key molecular targets and underlying mechanisms of AA-induced carcinogenesis remain poorly understood. In this study, 62 intersection genes related to both AA exposure and ccRCC were identified by integrating toxicogenomic databases with ccRCC-associated gene profiles. Transcriptomic analysis and weighted gene co-expression network analysis further narrowed this list to six critical candidates. Diagnostic models built using 13 machine learning algorithms demonstrated robust and consistent performance across multiple datasets. Immune infiltration and functional enrichment analyses suggested that several of these genes may contribute to immune remodeling and metabolic dysregulation. Among them, JAK3 stood out due to its significant upregulation, negative correlation with immunosuppressive cell subsets, and strong association with poor prognosis. Although JAK3 exhibited strong binding affinity to AA in docking analysis, molecular dynamics simulations revealed reduced conformational stability and increased flexibility in its kinase domain, suggesting ligand-induced structural perturbation and potential toxic interference. Collectively, these findings identify JAK3 as a critical toxicological target of AA in ccRCC and demonstrate the power of toxicogenomic and multi-omics integration in uncovering environment-related carcinogenic mechanisms.
Indexed as
Identifiers
40588582What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.