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024 7 _ |a 10.1001/jamapsychiatry.2024.4305
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024 7 _ |a pmid:39841452
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024 7 _ |a pmc:PMC11883504
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024 7 _ |a 2168-622X
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024 7 _ |a 0003-990X
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024 7 _ |a 0375-8532
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024 7 _ |a 1538-3636
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024 7 _ |a 2168-6238
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024 7 _ |a 2330-9636
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024 7 _ |a altmetric:173257015
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037 _ _ |a DZNE-2025-00409
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Wiels, Wietse A
|b 0
245 _ _ |a Depressive Symptoms and Amyloid Pathology.
260 _ _ |a Chicago, Ill.
|c 2025
|b AMA
336 7 _ |a article
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336 7 _ |a Output Types/Journal article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a JOURNAL_ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a Depressive symptoms are associated with cognitive decline in older individuals. Uncertainty about underlying mechanisms hampers diagnostic and therapeutic efforts. This large-scale study aimed to elucidate the association between depressive symptoms and amyloid pathology.To examine the association between depressive symptoms and amyloid pathology and its dependency on age, sex, education, and APOE genotype in older individuals without dementia.Cross-sectional analyses were performed using data from the Amyloid Biomarker Study data pooling initiative. Data from 49 research, population-based, and memory clinic studies were pooled and harmonized. The Amyloid Biomarker Study has been collecting data since 2012 and data collection is ongoing. At the time of analysis, 95 centers were included in the Amyloid Biomarker Study. The study included 9746 individuals with normal cognition (NC) and 3023 participants with mild cognitive impairment (MCI) aged between 34 and 100 years for whom data on amyloid biomarkers, presence of depressive symptoms, and age were available. Data were analyzed from December 2022 to February 2024.Amyloid-β1-42 levels in cerebrospinal fluid or amyloid positron emission tomography scans were used to determine presence or absence of amyloid pathology. Presence of depressive symptoms was determined on the basis of validated depression rating scale scores, evidence of a current clinical diagnosis of depression, or self-reported depressive symptoms.In individuals with NC (mean [SD] age, 68.6 [8.9] years; 5664 [58.2%] female; 3002 [34.0%] APOE ε4 carriers; 937 [9.6%] had depressive symptoms; 2648 [27.2%] had amyloid pathology), the presence of depressive symptoms was not associated with amyloid pathology (odds ratio [OR], 1.13; 95% CI, 0.90-1.40; P = .29). In individuals with MCI (mean [SD] age, 70.2 [8.7] years; 1481 [49.0%] female; 1046 [44.8%] APOE ε4 carriers; 824 [27.3%] had depressive symptoms; 1668 [55.8%] had amyloid pathology), the presence of depressive symptoms was associated with a lower likelihood of amyloid pathology (OR, 0.73; 95% CI 0.61-0.89; P = .001). When considering subgroup effects, in individuals with NC, the presence of depressive symptoms was associated with a higher frequency of amyloid pathology in APOE ε4 noncarriers (mean difference, 5.0%; 95% CI 1.0-9.0; P = .02) but not in APOE ε4 carriers. This was not the case in individuals with MCI.Depressive symptoms were not consistently associated with a higher frequency of amyloid pathology in participants with NC and were associated with a lower likelihood of amyloid pathology in participants with MCI. These findings were not influenced by age, sex, or education level. Mechanisms other than amyloid accumulation may commonly underlie depressive symptoms in late life.
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588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a Amyloid beta-Peptides
|2 NLM Chemicals
650 _ 7 |a Biomarkers
|2 NLM Chemicals
650 _ 7 |a Peptide Fragments
|2 NLM Chemicals
650 _ 7 |a amyloid beta-protein (1-42)
|2 NLM Chemicals
650 _ 7 |a Apolipoprotein E4
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Depression
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Cross-Sectional Studies
|2 MeSH
650 _ 2 |a Cognitive Dysfunction
|2 MeSH
650 _ 2 |a Amyloid beta-Peptides: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Amyloid beta-Peptides: metabolism
|2 MeSH
650 _ 2 |a Positron-Emission Tomography
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Biomarkers: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Peptide Fragments: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Apolipoprotein E4: genetics
|2 MeSH
650 _ 2 |a Age Factors
|2 MeSH
693 _ _ |0 EXP:(DE-2719)DIAN-20090101
|5 EXP:(DE-2719)DIAN-20090101
|e Longitudinal Study on Dominantly Inherited Alzheimer's Disease
|x 0
700 1 _ |a Oomens, Julie E
|b 1
700 1 _ |a Engelborghs, Sebastiaan
|b 2
700 1 _ |a Baeken, Chris
|b 3
700 1 _ |a von Arnim, Christine A F
|b 4
700 1 _ |a Boada, Mercè
|b 5
700 1 _ |a Didic, Mira
|b 6
700 1 _ |a Dubois, Bruno
|b 7
700 1 _ |a Fladby, Tormod
|b 8
700 1 _ |a van der Flier, Wiesje M
|b 9
700 1 _ |a Frisoni, Giovanni B
|b 10
700 1 _ |a Fröhlich, Lutz
|b 11
700 1 _ |a Gill, Kiran Dip
|b 12
700 1 _ |a Grimmer, Timo
|b 13
700 1 _ |a Hildebrandt, Helmut
|b 14
700 1 _ |a Hort, Jakub
|b 15
700 1 _ |a Itoh, Yoshiaki
|b 16
700 1 _ |a Iwatsubo, Takeshi
|b 17
700 1 _ |a Klimkowicz-Mrowiec, Aleksandra
|b 18
700 1 _ |a Lee, Dong Young
|b 19
700 1 _ |a Lleó, Alberto
|b 20
700 1 _ |a Martinez-Lage, Pablo
|b 21
700 1 _ |a de Mendonça, Alexandre
|b 22
700 1 _ |a Meyer, Philipp T
|b 23
700 1 _ |a Kapaki, Elisabeth N
|b 24
700 1 _ |a Parchi, Piero
|b 25
700 1 _ |a Pardini, Matteo
|b 26
700 1 _ |a Parnetti, Lucilla
|b 27
700 1 _ |a Popp, Julius
|b 28
700 1 _ |a Rami, Lorena
|b 29
700 1 _ |a Reiman, Eric M
|b 30
700 1 _ |a Rinne, Juha O
|b 31
700 1 _ |a Rodrigue, Karen M
|b 32
700 1 _ |a Sánchez-Juan, Pascual
|b 33
700 1 _ |a Santana, Isabel
|b 34
700 1 _ |a Sarazin, Marie
|b 35
700 1 _ |a Scarmeas, Nikolaos
|b 36
700 1 _ |a Skoog, Ingmar
|b 37
700 1 _ |a Snyder, Peter J
|b 38
700 1 _ |a Sperling, Reisa A
|b 39
700 1 _ |a Villeneuve, Sylvia
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700 1 _ |a Wallin, Anders
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700 1 _ |a Wiltfang, Jens
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700 1 _ |a Zetterberg, Henrik
|b 43
700 1 _ |a Ossenkoppele, Rik
|b 44
700 1 _ |a Verhey, Frans R J
|b 45
700 1 _ |a Vos, Stephanie J B
|b 46
700 1 _ |a Visser, Pieter Jelle
|b 47
700 1 _ |a Jansen, Willemijn J
|b 48
700 1 _ |a group, Amyloid Biomarker Study
|b 49
|e Collaboration Author
700 1 _ |a Initiative, Alzheimer’s Disease Neuroimaging
|b 50
|e Collaboration Author
700 1 _ |a Alcolea, Daniel
|b 51
700 1 _ |a Altomare, Daniele
|b 52
700 1 _ |a Baiardi, Simone
|b 53
700 1 _ |a Baldeiras, Ines
|b 54
700 1 _ |a Bateman, Randall J
|b 55
700 1 _ |a Blennow, Kaj
|b 56
700 1 _ |a Bottlaender, Michel
|b 57
700 1 _ |a den Braber, Anouk
|b 58
700 1 _ |a van Buchem, Mark A
|b 59
700 1 _ |a Byun, Min Soo
|b 60
700 1 _ |a Cerman, Jirí
|b 61
700 1 _ |a Chen, Kewei
|b 62
700 1 _ |a Chipi, Elena
|b 63
700 1 _ |a Day, Gregory S
|b 64
700 1 _ |a Drzezga, Alexander
|0 P:(DE-2719)2811239
|b 65
|u dzne
700 1 _ |a Eckerström, Marie
|b 66
700 1 _ |a Ekblad, Laura L
|b 67
700 1 _ |a Epelbaum, Stéphane
|b 68
700 1 _ |a Förster, Stefan
|b 69
700 1 _ |a Fortea, Juan
|b 70
700 1 _ |a Freund-Levi, Yvonne
|b 71
700 1 _ |a Frings, Lars
|b 72
700 1 _ |a Guedj, Eric
|b 73
700 1 _ |a Hausner, Lucrezia
|b 74
700 1 _ |a Hellwig, Sabine
|b 75
700 1 _ |a Huey, Edward D
|b 76
700 1 _ |a Jiménez-Bonilla, Julio F
|b 77
700 1 _ |a Johnson, Keith A
|b 78
700 1 _ |a Juaristi, Ane Iriondo
|b 79
700 1 _ |a Kandimalla, Ramesh
|b 80
700 1 _ |a Paraskevas, George
|b 81
700 1 _ |a Kern, Silke
|b 82
700 1 _ |a Kirsebom, Bjørn-Eivind S
|b 83
700 1 _ |a Kornhuber, Johannes
|b 84
700 1 _ |a Lagarde, Julien
|b 85
700 1 _ |a Landau, Susan M
|b 86
700 1 _ |a Legdeur, Nienke
|b 87
700 1 _ |a Llibre Guerra, Jorge J
|b 88
700 1 _ |a Maserejian, Nancy N
|b 89
700 1 _ |a Marquié, Marta
|b 90
700 1 _ |a Minatani, Shinobu
|b 91
700 1 _ |a Morbelli, Silvia Daniela
|b 92
700 1 _ |a Mroczko, Barbara
|b 93
700 1 _ |a Ntanasi, Eva
|b 94
700 1 _ |a de Oliveira, Catarina Resende
|b 95
700 1 _ |a Olivieri, Pauline
|b 96
700 1 _ |a Orellana, Adelina
|b 97
700 1 _ |a Perrin, Richard J
|b 98
700 1 _ |a Peters, Oliver
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700 1 _ |a Prabhakar, Sudesh
|b 100
700 1 _ |a Ramakers, Inez H
|b 101
700 1 _ |a Rodríguez-Rodriguez, Eloy
|b 102
700 1 _ |a Ruiz, Agustín
|b 103
700 1 _ |a Rüther, Eckart
|b 104
700 1 _ |a Selnes, Per
|b 105
700 1 _ |a Silva, Dina
|b 106
700 1 _ |a Soininen, Hilkka
|b 107
700 1 _ |a Spiru, Luiza
|b 108
700 1 _ |a Takeda, Akitoshi
|b 109
700 1 _ |a Teichmann, Marc
|b 110
700 1 _ |a Tijms, Betty M
|b 111
700 1 _ |a Teunissen, Charlotte E
|b 112
700 1 _ |a Thompson, Loisa I
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700 1 _ |a Vogelgsangs, Jonathan
|b 114
700 1 _ |a Vöglein, Jonathan
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700 1 _ |a Waldemar, Gunhild
|b 116
700 1 _ |a Wallin, Åsa K
|b 117
700 1 _ |a Yannakoulia, Mary
|b 118
700 1 _ |a Yi, Dahyun
|b 119
700 1 _ |a Zettergren, Anna
|b 120
773 _ _ |a 10.1001/jamapsychiatry.2024.4305
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