ArticleDrug design, development and therapy2026
Proteome Microarray-Guided Global View: Multiple Pharmacological Targets of Icariin.
Article in Drug design, development and therapy, 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
No grant is acknowledged in the PubMed record.
Abstract
Background: Icariin (ICA) is a major bioactive compound extracted from the traditional Chinese medicinal herb Epimedium, demonstrated a broad spectrum of pharmacological properties. However, a comprehensive and up-to-date study exclusively focusing on ICA direct binding proteins has not yet been conducted. Methods: HuProt™ 20K human proteome microarray, the highest capacity human protein microarray, is suitable for the applications of small molecule targeting proteins. Here, we constructed an atlas of the ICA-binding proteins directly via proteome microarray. Results: We showed that a total of 246 proteins which directly interacted with ICA. Subsequent PPI network analysis organized these proteins into 4 functionally distinct clusters, revealing that ICA interacts with proteins central to fundamental cellular processes, including protein folding chaperone complexes, the ubiquitin-proteasome system, apoptotic and PI3K-Akt signaling pathways, and nucleotide metabolism. Conclusion: This study constructed an atlas of the ICA-binding proteins directly via microarray, which spans protein folding, ubiquitin-proteasome, apoptosis and nucleotide metabolism, providing a theoretical basis for ICA treatment of diseases caused by dysregulation of these core pathways.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.