Daniel Wayne Eller

All Publications

• Metabolic Dysfunction in Alzheimer's Disease: Brain Glucose Hypometabolism as an Early Precursor to Amyloid and Tau Pathology. Journal of clinical medicine Christodoulou, R. C., Eller, D., Papageorgiou, P. S., Angelopoulou, E., Vassiliou, E., Papageorgiou, S. G. 2026; 15 (5)

  Abstract

  Objective: Alzheimer's disease (AD) is traditionally characterized by amyloid-β and tau pathology; however, accumulating evidence indicates that metabolic and inflammatory dysfunctions are early, central contributors to disease development. This narrative review explores how metabolic disturbances influence AD pathophysiology. Methods: A comprehensive literature search was performed on PubMed, Embase, and Scopus. Selected studies were original studies or reviews published in English within the past five years involving human subjects. Case reports, case series, editorials, and non-human studies were excluded. A total of 64 articles were reviewed and summarized. Results: Cerebral glucose hypometabolism, mitochondrial impairment, insulin resistance, oxidative stress, and neuroinflammation were observed throughout the AD spectrum. These metabolic changes often appeared before significant amyloid accumulation and were more closely linked to tau pathology and cognitive decline. Early microglial activation was linked to transient glucose hypermetabolism, progressing to glucose hypometabolism and neurodegeneration as the disease advanced. Conclusions: AD is associated with a gradual breakdown of metabolic and inflammatory homeostasis, which occurs before and promotes the development of traditional neuropathological features. Addressing early metabolic vulnerabilities may be essential for effective disease intervention and prevention.

  View details for DOI 10.3390/jcm15051884

  View details for PubMedID 41827301

  View details for PubMedCentralID PMC12986246

• From Lesion to Decision: AI for ARIA Detection and Predictive Imaging in Alzheimer's Disease. Biomedicines Christodoulou, R. C., Papageorgiou, P. S., Sarquis, M. D., Rivera, L., Morales Gonzalez, C., Eller, D., Rivera, G., Petrou, V., Vamvouras, G., Vassiliou, E., Papageorgiou, S. G., Georgiou, M. F. 2025; 13 (11)

  Abstract

  Background: Alzheimer's disease (AD) remains the leading cause of dementia worldwide, with anti-amyloid monoclonal antibodies (MABs) marking a significant advance as the first disease-modifying therapies. Their use, however, is limited by amyloid-related imaging abnormalities (ARIA), which appear as vasogenic edema or effusion (ARIA-E) and hemosiderin-related changes (ARIA-H) on MRI. Variability in imaging protocols, subtle early findings, and the lack of standardized risk models challenge detection and management. Methods: This narrative review summarizes current artificial intelligence (AI) applications for ARIA detection and risk prediction. A comprehensive literature search across PubMed, Embase, and Scopus identified studies focusing on MRI-based AI analysis, lesion quantification, and predictive modeling. Results: The evidence is organized into six thematic domains: ARIA definitions, imaging challenges, foundations of AI in neuroimaging, detection tools, predictive frameworks, and future perspectives. Conclusions: AI offers promising avenues to standardize ARIA evaluation, improve lesion quantification, and enable individualized risk prediction. Progress will depend on multicenter datasets, shared frameworks, and prospective validation. Ultimately, AI-driven neuroimaging may transform how treatment-related complications are monitored in the era of anti-amyloid therapy.

  View details for DOI 10.3390/biomedicines13112739

  View details for PubMedID 41301832

  View details for PubMedCentralID PMC12650076

• The impact of library visits on undergraduate student GPA: The vital role of the library as a contributor to student success JOURNAL OF ACADEMIC LIBRARIANSHIP Bloom, M., Eller, D., Hall, M., Lang, A., Sample, A. 2025; 51 (3)

  View details for DOI 10.1016/j.acalib.2025.103040

  View details for Web of Science ID 001448042700001

• Shrunken Median Location Effect Estimates: An Application to Immuno-Oncology Journal of Probability and Statistics Holmes, T. H., Eller, D. W., Barnett, J., Maecker, H. T. 2025; 2025 (1): 6

  View details for DOI 10.1155/jpas/1856034

• Bibliometrics and Pentecostal Scholarship A Review of Trends in Pneuma PNEUMA Eller, D. W., Isgrigg, D. D. 2023; 45 (1): 78-101

  View details for DOI 10.1163/15700747-bja10084

  View details for Web of Science ID 001021542500006

• New Horizons for the Individual Research Consultation: Critical Hermeneutics and Habermas’ Goal of Intersubjective Agreement InterActions: UCLA Journal of Education and Information Studies Eller, D. W. 2023; 18 (1): 16

  View details for DOI 10.5070/D418159162

• Transparency and the future of semantic searching in academic libraries Information Services and Use Eller, D. W. 2022; 42 (3-4)

  View details for DOI 10.3233/ISU-220175