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. 2023 Nov 27;13:20869. doi: 10.1038/s41598-023-47971-3

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Variability of hemolysis and exogenous controls for miRNA analysis. (A–D) Four discrete methods are compared to light absorbance at 414 nm, algorithms from Shkurnikov (415, 450 and 700 nm wavelengths)²², Kahn (wavelengths 578, 562 and 598 nm)²³ as well as ΔC_q (miR-23a, miR-451a) and ΔC_q (miR-23a, miR-16-5p). Linear regression curves (red, dashed) and correlation r values are added to each subplot. (E) Parallel axis plot showing C_q variability of four added exogenous controls for the Warsaw cohort. Annotation shows controls added prior to miRNA isolation (cel-2-3p and cel-39-3p) and prior to reverse transcription (cel-238-3p and cel-54-3p). Lines coloured according to disease class (BD blood donor, MCI mild cognitive impairment, SCI subjective cognitive impairment, AD Alzheimer’s disease).