Ion-channel gene expression in diabetic arterial tissue: a pre-registered cross-species meta-analysis of public transcriptomic datasets with an independent, metadata-selected validation set

This is the authors' abstract. We don't add key points for this paper.

Secondary-data study (P10). Public GEO datasets of intact arterial tissue from diabetic and non-diabetic humans, mice and rats are re-analysed with one pre-specified pipeline to test whether KCNMB1 (BK channel beta-1 subunit) and a pre-specified 19-gene panel of smooth-muscle ion-channel and channel-regulatory genes change in diabetes. The confirmatory test uses five validation datasets selected from metadata only; six datasets already examined by the author are analysed separately and labelled non-blind. No wet-lab data are used. This research work was funded by Umm Al-Qura University, Saudi Arabia, under grant number 26UQU4340520GSSR31. The funder had no role in the design of the study, the collection, analysis or interpretation of data, the writing of the report, or the decision to submit.