Influence of preanalytical and analytical factors on the quantification of six regulatory serum proteins.

Background: We analyzed differences in protein concentrations in human blood serum depending on the tube material and the immunoassay platform used. Materials & methods: Blood samples from study participants were collected in glass and polypropylene tubes (n = 292). Serum concentrations of six proteins (BDNF, IGF-1, VEGF-A, TGF-ß1, MCP-1 and IL-18) were assessed by using ELISAs (all biomarkers), as well as a novel fully automated immunoassay platform (all but IGF-1, n = 211). Bland-Altman analyses were conducted to investigate intrasample variability of protein concentrations. Results: Tube comparison resulted in mean biases of between -0.45 and -70.64%. Platform comparison revealed mean biases of between 21.04 and -128.10%. Conclusion: Protein concentrations can vary significantly depending on the types of tube and immunoassay used, with protein-specific differences.

This study investigated the impact of blood tube materials and measuring platforms on protein concentrations in blood samples. We collected blood serum from up to 292 study participants using glass and polypropylene tubes. The concentrations of six proteins were analyzed using a common laboratory technique called ELISA, as well as an automated platform, Ella™. The choice of tube material had small effects on two proteins (IGF-1 and IL-18), with differences of less than 1%. However, the concentrations of four other proteins (VEGF-A, MCP-1, TGF-ß1 and BDNF) varied significantly more depending on the tube material used, with differences ranging from -32.17 to -70.64%. With the two testing methods, two proteins (VEGF-A and TGF-ß1) showed only small differences, with variations of -7.68 and 11.74%, respectively. For the other four proteins, the differences were larger, from 21.04 to -128.10%. The study demonstrates the importance of having consistent, standardized methods for measuring protein levels in blood samples. The tubes and testing methods used can both change the results significantly, depending on the specific protein being measured. To make sure the measurements are accurate, we suggest creating specific guidelines for each testing method and protein. By following these guidelines, scientists can ensure that the measurements of protein levels in liquid biopsy samples are dependable and consistent.

Excellent Interrater Reliability for Manual Segmentation of the Medial Perirhinal Cortex.

Objective: Evaluation of interrater reliability for manual segmentation of brain structures that are affected first by neurofibrillary tau pathology in Alzheimer's disease. Method: Medial perirhinal cortex, lateral perirhinal cortex, and entorhinal cortex were manually segmented by two raters on structural magnetic resonance images of 44 adults (20 men; mean age = 69.2 ± 10.4 years). Intraclass correlation coefficients (ICC) of cortical thickness and volumes were calculated. Results: Very high ICC values of manual segmentation for the cortical thickness of all regions (0.953-0.986) and consistently lower ICC values for volume estimates of the medial and lateral perirhinal cortex (0.705-0.874). Conclusions: The applied manual segmentation protocol allows different raters to achieve remarkably similar cortical thickness estimates for regions of the parahippocampal gyrus. In addition, the results suggest a preference for cortical thickness over volume as a reliable measure of atrophy, especially for regions affected by collateral sulcus variability (i.e., medial and lateral perirhinal cortex). The results provide a basis for future automated segmentation and collection of normative data.

Can you find it? Novel oddity detection task for the early detection of Alzheimer's disease.

OBJECTIVE: We aimed to develop a measure to specifically assess the functioning of the perirhinal cortex (PRC), a brain structure affected very early in Alzheimer's disease (AD) pathology. In this novel task, participants were shown arrays of six complex figures and had to identify the "odd-one." METHOD: The pilot study included 50 normal controls (NCs) and 50 patients in very early stages of AD. Participants completed the task and received MRI scanning. Best differentiating items were determined and applied in a validation study including 25 NCs, 27 early-stage AD patients, and 26 patients with major depression. Logistic regression models investigated if task performance predicted group membership. Task performance was then related to whole-brain gray matter integrity. As proof of concept, cortical thickness values of four regions of interest (ROIs; e.g., medial PRC and entorhinal cortex [ERC]) were compared between the groups. The associations of task performance and cortical thickness of the ROIs were investigated using linear models. RESULTS: Task performance showed good discriminative ability between early-stage AD patients and NCs. Whole-brain analyses revealed four significant clusters (p < .001) with peak voxels in parahippocampal regions including PRC and ERC. ROI analyses showed distinctly reduced cortical thickness in the AD group compared to both other groups in the medial PRC and ERC (p ≤ .001). Task performance modeled by ROI cortical thickness did not achieve significant results. CONCLUSION: Although further validation is needed, especially with age-matched participant groups, these findings indicate that the task detects early cognitive impairment related to AD. (PsycInfo Database Record (c) 2023 APA, all rights reserved).