Biomarkers.

Alzheimers Dement

Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.

Published: December 2024

Background: Limbic-predominant age-related TDP-43 encephalopathy (LATE) can underlie clinical presentations mimicking Alzheimer's disease (AD). Recent imaging-pathological studies have shown that LATE associates with a specific temporo-limbic FDG-PET signature that differs from the typical temporo-parietal pattern of hypometabolism in AD and may be of clinical utility for differential dementia diagnosis. Little is known about the temporal evolution of the respective hypometabolic patterns from early disease stages. We investigated the temporal evolution of LATE- and AD-specific hypometabolism patterns using longitudinal ante-mortem FDG-PET data from autopsy-confirmed cases.

Method: Serial ante-mortem FDG-PET scans acquired in an interval of -11 to 0 years before death (mean: -4.8±2.9 years; median of 3 scans/subject) were analysed from 30 autopsy-confirmed AD patients and 10 LATE patients enrolled in ADNI. FDG-PET images were spatially normalized to MNI space and standard uptake value ratios (pons reference) were calculated across 52 brain regions defined in the Harvard-Oxford atlas. Region-wise z-scores were calculated to quantify hypometabolism relative to a healthy elderly control group (N=179). Group-wise longitudinal metabolic decline of brain regions was calculated using linear mixed-effects models. Predicted z-scores were estimated in 2-year steps over a 10-year interval from the time of death and referenced to approximate onset of first memory problems. In addition, we evaluated the longitudinal evolution of the inferior-to-medial temporal ratio (IMTr) as a previously proposed differential diagnostic imaging marker.

Result: In AD, first pronounced hypometabolism (z>1) was observed in the posterior cingulate cortex and precuneus, approximately 6 years before death (5.5±4.5 years after estimated symptom onset) and progressively affecting additional temporal and lateral parietal brain regions (Fig-1a). By contrast, first hypometabolism in LATE was observed in the hippocampus/parahippocampal cortex as early as 10 years before death, coinciding with the estimated onset of cognitive symptoms (0.1±3.3 years) and progressively including anterior temporal, subcallosal, and frontal brain regions (Fig-1b). Interestingly, the IMT ratio showed a constant difference between AD and LATE patients across the entire observation period, including earliest disease stages (t=3.04, p=0.005)(Figure 2).

Conclusion: LATE and AD show markedly different origins and temporal trajectories of regional brain hypometabolism, indicating that FDG-PET may differentiate between these pathologies even at early disease stages.

Download full-text PDF

Source
http://dx.doi.org/10.1002/alz.088877DOI Listing

Publication Analysis

Top Keywords

brain regions
16
disease stages
12
years death
12
temporal evolution
8
early disease
8
ante-mortem fdg-pet
8
late patients
8
late
6
hypometabolism
6
temporal
6

Similar Publications

Brain iron deposition and cognitive decline in patients with cerebral small vessel disease : a quantitative susceptibility mapping study.

Alzheimers Res Ther

January 2025

Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA, Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.

Background: Quantitative susceptibility mapping (QSM) can study the susceptibility values of brain tissue which allows for noninvasive examination of local brain iron levels in both normal and pathological conditions.

Purpose: Our study compares brain iron deposition in gray matter (GM) nuclei between cerebral small vessel disease (CSVD) patients and healthy controls (HCs), exploring factors that affect iron deposition and cognitive function.

Materials And Methods: A total of 321 subjects were enrolled in this study.

View Article and Find Full Text PDF

Background: Antibiomania is the manifestation of manic symptoms secondary to taking an antibiotic, which is a rare side effect. In these cases, the antibiotics most often incriminated are macrolides and quinolones, but to our knowledge, there are no published cases of antibiomania secondary to cotrimoxazole. Furthermore, we also provide an update of pharmacovigilance data concerning antibiomania through a search of the World Health Organization (WHO) database.

View Article and Find Full Text PDF

Background: Functional gastrointestinal disorders (FGIDs), now known as disorders of gut-brain interaction (DGBIs), such as Irritable Bowel Syndrome (IBS) and Functional Dyspepsia (FD), significantly impact global health, reducing quality of life and burdening healthcare systems. This study addresses the epidemiological gap in Poland, focusing on the West Pomeranian Voivodeship.

Methods: We conducted a cross-sectional study of 2070 Caucasian patients (58.

View Article and Find Full Text PDF

Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.

View Article and Find Full Text PDF

Multivariate patterns among multimodal neuroimaging and clinical, cognitive, and daily functioning characteristics in bipolar disorder.

Neuropsychopharmacology

January 2025

Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Frederiksberg, Denmark.

Individuals with bipolar disorder (BD) show heterogeneity in clinical, cognitive, and daily functioning characteristics, which challenges accurate diagnostics and optimal treatment. A key goal is to identify brain-based biomarkers that inform patient stratification and serve as treatment targets. The objective of the present study was to apply a data-driven, multivariate approach to quantify the relationship between multimodal imaging features and behavioral phenotypes in BD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!