Regional changes in brain metabolism during the progression of mild cognitive impairment: a longitudinal study based on radiomics.

BACKGROUND: This study aimed to establish radiomics models based on positron emission tomography (PET) images to longitudinally predict transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD). METHODS: In our study, 278 MCI patients from the ADNI database were analyzed, where 60 transitioned to AD (pMCI) and 218 remained stable (sMCI) over 48 months. Patients were divided into a training set (n = 222) and a validation set (n = 56). We first employed voxel-based analysis of 18F-FDG PET images to identify brain regions that present significant SUV difference between pMCI and sMCI groups. Radiomic features were extracted from these regions, key features were selected, and predictive models were developed for individual and combined brain regions. The models' effectiveness was evaluated using metrics like AUC to determine the most accurate predictive model for MCI progression. RESULTS: Voxel-based analysis revealed four brain regions implicated in the progression from MCI to AD. These include ROI1 within the Temporal lobe, ROI2 and ROI3 in the Thalamus, and ROI4 in the Limbic system. Among the predictive models developed for these individual regions, the model utilizing ROI4 demonstrated superior predictive accuracy. In the training set, the AUC for the ROI4 model was 0.803 (95% CI 0.736, 0.865), and in the validation set, it achieved an AUC of 0.733 (95% CI 0.559, 0.893). Conversely, the model based on ROI3 showed the lowest performance, with an AUC of 0.75 (95% CI 0.685, 0.809). Notably, the comprehensive model encompassing all identified regions (ROI total) outperformed the single-region models, achieving an AUC of 0.884 (95% CI 0.845, 0.921) in the training set and 0.816 (95% CI 0.705, 0.909) in the validation set, indicating significantly enhanced predictive capability for MCI progression to AD. CONCLUSION: Our findings underscore the Limbic system as the brain region most closely associated with the progression from MCI to AD. Importantly, our study demonstrates that a PET brain radiomics model encompassing multiple brain regions (ROI total) significantly outperforms models based on single brain regions. This comprehensive approach more accurately identifies MCI patients at high risk of progressing to AD, offering valuable insights for non-invasive diagnostics and facilitating early and timely interventions in clinical settings.

Differential effects of alcohols on conformational switchovers in alpha-helical and beta-sheet protein models.

Organic solvents may induce non-native structures of proteins that mimic folding intermediates and/or conformations that occur in proximity to biological membranes. Here we systematically investigate the effects of simple (i.e., MeOH and EtOH) and fluorinated (i.e., trifluoroethanol, TFE) alcohols on the secondary structure and thermodynamic stability of two complementary model proteins using a combination of circular dichroism, fluorescence, and Fourier transform infrared (FTIR) detection methods. The selected proteins are alpha-helical Borrelia burgdorferi VlsE and beta-sheet human mitochondrial co-chaperonin protein 10 (cpn10). We find that switches between VlsE's native and non-native superhelical and beta-sheet structures readily occur (pH 7, 20 degrees C). The pathway depends on the alcohol: addition of MeOH induces a transition to a superhelical structure that is followed by conversion to beta-structure, whereas EtOH only unfolds the protein. TFE unfolds VlsE at low percentages but promotes the formation of a superhelical state upon further additions. For cpn10, both MeOH and TFE additions govern initial unfolding; however, further additions of MeOH result in the formation of a non-native beta-structure, whereas subsequent additions of TFE induce a superhelical structure. EtOH additions promptly unfold and precipitate cpn10. Both VlsE's and cpn10's non-native structures exhibit high stability toward chemical and thermal perturbations. This study demonstrates that in response to different alcohols, polypeptides can readily adopt both alpha- and beta-enriched conformations. The biological significance of these findings is discussed.

Interface mutation in heptameric co-chaperonin protein 10 destabilizes subunits but not interfaces.

We here report on a human mitochondrial co-chaperonin protein 10 (cpn10) variant in which the conserved interface residue leucine-96 is replaced with glycine (Leu96Gly cpn10). According to analytical ultracentrifugation, the mutation does not perturb the ability to assemble into a heptamer and electron microscopy reveals that Leu96Gly cpn10 is ring-shaped like wild-type cpn10. Despite elimination of a hydrophobic residue, the subunit-subunit affinity is essentially identical in Leu96Gly cpn10 and in wild-type cpn10. This is explained by a compensating rearrangement in Leu96Gly cpn10, evident from cross-linking and gel-filtration experiments. As a direct result of lower monomer stability, Leu96Gly cpn10 is dramatically less stable towards chemical and thermal perturbations as compared to wild-type cpn10. We conclude that leucine-96 is an interface residue preserved to guarantee stable cpn10 monomers. Our study demonstrates that the cpn10 interfaces can adapt to structural alterations without loss of either subunit-subunit affinity or heptamer specificity.