Validation of tRNA-derived fragments as diagnostic biomarkers in suspected acute stroke; limitations in analysis and quantification methods

Le résumé fourni par la source

showed a trend for differential expression between stroke subtypes, but with insufficient predictive value to be of use in clinical practice. Combining expression data of specific tRFs into a joint model did not improve the predictive ability. Technical and computational challenges may compromise the reliability of tRF expression data from RNA sequencing, possibly explaining our inability to validate the specific tRFs as potential stroke biomarkers. Moreover, the limitations of RT-qPCR challenge a reliable quantification of these fragments even further. Our findings highlight the need for improved quantitative methods for tRF analysis to fully exploit their potential as clinically meaningful biomarkers. Addressing these technical barriers could unlock the diagnostic potential of tRFs, facilitating faster, more accurate stroke subtype identification in an acute setting.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.