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. 2022 Nov 24;14:1038343. doi: 10.3389/fnagi.2022.1038343

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Copyright © 2022 Aumont, Tremblay, Levert, Bennett, Calon and Leclerc.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Receiver operating characteristics curves for the identification of AD with FLNA. (A) Insoluble FLNA is an adequate predictor of AD in the whole sample, an excellent predictor in the mild cognitively impaired (MCI). Insoluble FLNA is an inefficient predictor in the non-cognitively impaired (NCI). (B) Soluble FLNA does not predict AD in the whole sample nor in the NCI. Soluble FLNA is an excellent predictor of AD in the MCI. (C) The ratio of soluble over insoluble FLNA is an adequate predictor of AD in the whole sample, an excellent predictor in the MCI, and does not predict AD neuropathology in the NCI. Insoluble, soluble and soluble over insoluble FLNA levels were corrected for age, sex, and study batch. *: p < 0.05.