Associations of the Rate of Change in Geriatric Depression Scale with Amyloid and Cerebral Glucose Metabolism in Cognitively Normal Older Adults: A Longitudinal Study
Open accessAbstract
Background Depression is considered a psychological risk factor for Alzheimer's disease (AD). We sought to examine the differential associations of depression severity with cognitive decline, clinical progression to mild cognitive impairment (MCI) or AD, and neuroimaging markers of AD in cognitively normal older adults. Methods A total of 522 cognitively normal (CN) participants who underwent assessments for depression (longitudinal geriatric depression scale [GDS] ) and cognitive assessments were included from the Alzheimer Disease Neuroimaging Initiative (ADNI) cohort. The cross-sectional and longitudinal associations of the rate of change in GDS with amyloid-β (Aβ)-positron emission tomography (PET), tau-PET, and 18F-fluorodeoxyglucose (FDG)-PET were explored. Kaplan-Meier survival curves of clinical progression and Aβ accumulation were plotted based on mean annual changes in GDS. Mediation analyses were utilized to explore the mediation effects of AD markers. Results Higher rate of increase in GDS was associated with faster cognitive decline and higher risk of progression to MCI or AD. Moreover, the rate of change in GDS was significantly associated with Aβ accumulation and cerebral glucose metabolism. The influences of the rate of change in GDS on cognition and clinical progression were partially mediated by Aβ accumulation and cerebral glucose metabolism. Limitations GDS is a self-reported questionnaire and not the same as a clinical diagnosis of depression. Conclusions…
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The latest 15-item GDS is valid and reliable for assessing clinically significant depressive symptoms, as indicated by a score of ≥6.
“In addition, the latest 15-item GDS is valid and reliable for assessing clinically significant depressive symptoms, as indicated by a score of ≥ 6. 39”
Cites
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Alzheimer's Disease Neuroimaging Initiative (ADNI)
Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Shaw, L. M., Toga, A. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cb3e25 · Cited by 2,572 · cited 1× · see citing works
“The specific ADNI diagnostic criteria for distinguishing CN, MCI, and AD participants were summarized in Supplementary Table 4 (Petersen et al., 2010; Thomas et al., 2019).”
Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD
Jack, C. R., Shiung, M. M., Gunter, J. L., O’Brien, P. C., Weigand, S. D., Knopman, D. S., Boeve, B. F., Ivnik, R. J., Smith, G. E., Cha, R. H., et al. (2004) · Neurology · doi:10.1212/01.wnl.0000110315.26026.ef · Cited by 827 · see citing works
Amyloid-β-independent regulators of tau pathology in Alzheimer disease
van der Kant, R., Goldstein, L. S. B., & Ossenkoppele, R. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0240-3 · Cited by 580 · see citing works
The impact of amyloid‐beta and tau on prospective cognitive decline in older individuals
Sperling, R. A., Mormino, E. C., Schultz, A. P., Betensky, R. A., Papp, K. V., Amariglio, R. E., Hanseeuw, B. J., Buckley, R., Chhatwal, J., Hedden, T., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25395 · Cited by 286 · see citing works
Caraci, F., Spampinato, S. F., Morgese, M. G., Tascedda, F., Salluzzo, M. G., Giambirtone, M. C., Caruso, G., Munafò, A., Torrisi, S. A., Leggio, G. M., et al. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.02.007 · Cited by 172 · see citing works
Rayner, G., Jackson, G., & Wilson, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.022 · Cited by 104 · see citing works
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Dino, M. J. S., Dion, K. W., Abadir, P. M., Budhathoki, C., Huang, C.-M., Ong, I., Vital, J. C., Cotter, V. T., Himmelfarb, C. R. D., & Davidson, P. M. (2024) · Health Informatics Journal · doi:10.1177/14604582241267793 · Cited by 5 · see citing works
- Authors
- Wang, Z.-T., Shen, X.-N., Ma, Y.-H., Ou, Y.-N., Dong, P. Q., Tan, P. L., & Yu, P. J.-T.
- Affiliations
- Qingdao Municipal Hospital (CN)
- Shanghai Medical College of Fudan University (CN)
- Qingdao University (CN)
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 280
- Issue
- Pt A
- Pages
- 77-84
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W3096980919
- Cited by
- 28
- References
- 7
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 4 · 2023: 4 · 2022: 6 · 2021: 1
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Affective Disorders (acceptedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- geriatric depression, Geriatric Depression Scale, amyloid-beta deposition, brain glucose metabolism, cognitive decline, mild cognitive impairment, Alzheimer's disease, dementia risk, cognitively normal older adults
- MeSH terms
- Aged, Alzheimer Disease, Cross-Sectional Studies, Depression, Glucose, Humans, Longitudinal Studies, Amyloid beta-Peptides, Positron-Emission Tomography, Cognitive Dysfunction
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