ArticleJournal of pharmaceutical analysis2026
A novel method for screening antihyperuricemic drugs by combining aptamer sensor array, exonuclease III-DNA walker and linear discriminant analysis.
Article in Journal of pharmaceutical analysis, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The lack of a cell-based screening method limits urate-lowering drug development. A novel method combining aptamer sensor array (ASA), exonuclease III (Exo III)- powered 3D DNA walker (DW), and linear discriminant analysis (LDA) was developed for detecting uric acid (UA) in cell lysates, referred to as ASA-Exo III-DW-LDA. Three aptamers (Apts) with different affinities for UA and its structurally similar compound, xanthine (Xan), were used to design the ASA. The combination of ASA and Exo III-DW enabled the detection of UA at the picomolar level, whereas LDA was employed to differentiate UA signals from the mixed signals of UA and Xan. Significantly, Pearson correlation analysis revealed a strong correlation between our method and the
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.