Abstract
Objectives To examine trajectories of depression and apathy over a 5-year follow-up period in (prodromal) Alzheimer's disease (AD), and to relate these trajectories to AD biomarkers. Methods The trajectories of depression and apathy (measured with the Neuropsychiatric Inventory or its questionnaire) were separately modeled using growth mixture models for two cohorts (National Alzheimer's Coordinating Center, NACC, n = 22 760 and Alzheimer's Disease Neuroimaging Initiative, ADNI, n = 1 733). The trajectories in ADNI were associated with baseline CSF AD biomarkers (A beta(42,)t-tau, and p-tau) using bias-corrected multinomial logistic regression. Results Multiple classes were identified, with the largest classes having no symptoms over time. Lower A beta(42)and higher tau (ie, more AD pathology) was associated with increased probability of depression and apathy over time, compared to classes without symptoms. Lower A beta(42)(but not tau) was associated with a steep increase of apathy, whereas higher tau (but not A beta(42)) was associated with a steep decrease of apathy. Discussion The trajectories of depression and apathy in individuals on the AD spectrum are associated with AD biomarkers.
| Original language | English |
|---|---|
| Pages (from-to) | 224-234 |
| Number of pages | 11 |
| Journal | International Journal of Geriatric Psychiatry |
| Volume | 36 |
| Issue number | 1 |
| Early online date | 11 Sept 2020 |
| DOIs | |
| Publication status | Published - Jan 2021 |
Keywords
- Alzheimer's disease
- apathy
- cerebrospinal fluid biomarkers
- depression
- mild cognitive impairment
- neurocognitive disorders
- SYMPTOMS
- ASSOCIATION
- DIAGNOSIS
Access to Document
Fingerprint
Dive into the research topics of 'Alzheimer's disease biomarkers as predictors of trajectories of depression and apathy in cognitively normal individuals, mild cognitive impairment,and Alzheimer's disease dementia'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver
}
In: International Journal of Geriatric Psychiatry, Vol. 36, No. 1, 01.2021, p. 224-234.
Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Alzheimer's disease biomarkers as predictors of trajectories of depression and apathy in cognitively normal individuals, mild cognitive impairment,and Alzheimer's disease dementia
AU - Banning, Leonie C. P.
AU - Ramakers, Inez H. G. B.
AU - Rosenberg, Paul B.
AU - Lyketsos, Constantine G.
AU - Leoutsakos, Jeannie-Marie S.
AU - Alzheimer's Disease Neuroimaging Initiative
N1 - Funding Information: Alzheimer Nederland; Northern California Institute for Research and Education; Foundation for the National Institutes of Health; Canadian Institutes of Health Research; Transition Therapeutics; Takeda Pharmaceutical Company; Servier; Piramal Imaging; Pfizer Inc.; Novartis Pharmaceuticals Corporation; Neurotrack Technologies; NeuroRx Research; Meso Scale Diagnostics, LLC.; Merck & Co., Inc.; Lundbeck; Lumosity; Johnson & Johnson Pharmaceutical Research & Development LLC.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; IXICO Ltd.; GE Healthcare; Fujirebio US; Genentech, Inc.; EuroImmun; F. Hoffmann‐La Roche Ltd; Eli Lilly and Company; Elan Pharmaceuticals, Inc.; Cogstate; Eisai Inc.; CereSpir, Inc.; Biogen; Bristol‐Myers Squibb Company; BioClinica, Inc.; Araclon Biotech; Alzheimer's Drug Discovery Foundation; Alzheimer's Association; AbbVie; National Institute of Biomedical Imaging and Bioengineering; DOD ADNI, Grant/Award Number: W81XWH‐12‐2‐0012; Alzheimer's Disease Neuroimaging Initiative (ADNI), Grant/Award Number: AG024904; National Institute on Aging, Grant/Award Numbers: P50 AG047270, P50 AG005681, P50 AG033514, P50 AG005136, P30 AG049638, P30 AG012300, P50 AG005142, P50 AG005133, P30 AG010124, P30 AG053760, P30 AG028383, P30 AG035982, P50 AG023501, P50 AG005131, P50 AG016573, P30 AG010129, P50 AG047366, P30 AG010161, P30 AG008017, P30 AG013854, P30 AG008051, P50 AG 005138, P50 AG016574, P50 AG005134, P50 AG005146, P30 AG010133, P50 AG047266, P50 AG025688, P50 AG008702, P30 AG013846, P30 AG019610; National Institute on Aging/National Institutes of Health Grant, Grant/Award Number: U01 AG016976 Funding information Funding Information: We thank all the participants who underwent assessments and the staff who collected the data. The NACC database is funded by National Institute on Aging/National Institutes of Health Grant U01 AG016976. NACC data are contributed by the National Institute on Aging‐funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG 005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD). In addition, data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense Award Number W81XWH‐12‐2‐0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer's Association; Alzheimer's Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol‐Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann‐La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health ( www.fnih.org ). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. The first author received an internship (travel) grant from Alzheimer Nederland for this work. Funding Information: We thank all the participants who underwent assessments and the staff who collected the data. The NACC database is funded by National Institute on Aging/National Institutes of Health Grant U01 AG016976. NACC data are contributed by the National Institute on Aging-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG 005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD). In addition, data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense Award Number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer's Association; Alzheimer's Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. The first author received an internship (travel) grant from Alzheimer Nederland for this work. Publisher Copyright: © 2020 John Wiley & Sons Ltd
PY - 2021/1
Y1 - 2021/1
N2 - Objectives To examine trajectories of depression and apathy over a 5-year follow-up period in (prodromal) Alzheimer's disease (AD), and to relate these trajectories to AD biomarkers. Methods The trajectories of depression and apathy (measured with the Neuropsychiatric Inventory or its questionnaire) were separately modeled using growth mixture models for two cohorts (National Alzheimer's Coordinating Center, NACC, n = 22 760 and Alzheimer's Disease Neuroimaging Initiative, ADNI, n = 1 733). The trajectories in ADNI were associated with baseline CSF AD biomarkers (A beta(42,)t-tau, and p-tau) using bias-corrected multinomial logistic regression. Results Multiple classes were identified, with the largest classes having no symptoms over time. Lower A beta(42)and higher tau (ie, more AD pathology) was associated with increased probability of depression and apathy over time, compared to classes without symptoms. Lower A beta(42)(but not tau) was associated with a steep increase of apathy, whereas higher tau (but not A beta(42)) was associated with a steep decrease of apathy. Discussion The trajectories of depression and apathy in individuals on the AD spectrum are associated with AD biomarkers.
AB - Objectives To examine trajectories of depression and apathy over a 5-year follow-up period in (prodromal) Alzheimer's disease (AD), and to relate these trajectories to AD biomarkers. Methods The trajectories of depression and apathy (measured with the Neuropsychiatric Inventory or its questionnaire) were separately modeled using growth mixture models for two cohorts (National Alzheimer's Coordinating Center, NACC, n = 22 760 and Alzheimer's Disease Neuroimaging Initiative, ADNI, n = 1 733). The trajectories in ADNI were associated with baseline CSF AD biomarkers (A beta(42,)t-tau, and p-tau) using bias-corrected multinomial logistic regression. Results Multiple classes were identified, with the largest classes having no symptoms over time. Lower A beta(42)and higher tau (ie, more AD pathology) was associated with increased probability of depression and apathy over time, compared to classes without symptoms. Lower A beta(42)(but not tau) was associated with a steep increase of apathy, whereas higher tau (but not A beta(42)) was associated with a steep decrease of apathy. Discussion The trajectories of depression and apathy in individuals on the AD spectrum are associated with AD biomarkers.
KW - Alzheimer's disease
KW - apathy
KW - cerebrospinal fluid biomarkers
KW - depression
KW - mild cognitive impairment
KW - neurocognitive disorders
KW - SYMPTOMS
KW - ASSOCIATION
KW - DIAGNOSIS
U2 - 10.1002/gps.5418
DO - 10.1002/gps.5418
M3 - Article
C2 - 32869375
SN - 0885-6230
VL - 36
SP - 224
EP - 234
JO - International Journal of Geriatric Psychiatry
JF - International Journal of Geriatric Psychiatry
IS - 1
ER -