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@ARTICLE{MartinoAdami:285023,
author = {Martino-Adami, Pamela V and Jessen, Frank and Brosseron,
Frederic and Bewernick, Bettina and Domschke, Katharina and
Luppa, Melanie and Wagner, Michael and Peters, Oliver and
Frölich, Lutz and Riedel-Heller, Steffi and Schramm,
Elisabeth and Ramirez, Alfredo and Dafsari, Forugh S},
title = {{E}xploring blood-based biomarkers in late-life depression:
{C}orrelates of psychotherapeutic treatment outcomes.},
journal = {European psychiatry},
volume = {69},
number = {1},
issn = {0924-9338},
address = {Cambridge},
publisher = {Cambridge University Press},
reportid = {DZNE-2026-00148},
pages = {e18},
year = {2026},
abstract = {Major depressive disorder is a prevalent and debilitating
mental health condition contributing to a growing global
burden. Late-life depression (LLD), affecting individuals
over 60 years of age, is further associated with elevated
risks for cardiovascular diseases, cognitive decline, and
dementia. Treatment responses vary widely, potentially due
to underlying neurodegeneration and cellular senescence. We
aimed to explore blood-based biomarkers related to
Alzheimer's disease and senescence-associated secretory
phenotype (SASP) proteins, seeking to identify biological
underpinnings of LLD and their association with response to
psychotherapy.We performed a secondary analysis of the
Cognitive Behavioral Therapy for Late-Life Depression
(CBTlate) trial in 228 participants aged 60 years and older
with a diagnosis of LLD. Depression trajectories were
compared using clustering. In participants with available
plasma samples, biomarker data were generated post hoc. We
assessed associations between biomarkers and depression
trajectories, biomarker dynamics, and their ability to
predict treatment response.Two depression trajectories were
identified: persistently high stable Geriatric Depression
Scale (GDS) scores (hsGDS) and decreasing scores over time
(dGDS). The hsGDS group had more severe baseline depression
(p = 2.88 × 10-6), anxiety (p = 4.39 × 10-4), and sleep
disorders (p = 1.09 × 10-3), and was more likely to have a
history of major depression (p = 0.01) and mild cognitive
impairment (p = 0.01). Biomarker analysis revealed elevated
baseline plasma neurofilament light chain (NfL, p = 2.51 ×
10-2) and reduced C-X-C Motif Chemokine Ligand 5 (CXCL5, p =
2.83 × 10-2) in the hsGDS group. Including CXCL5 in
predictive models improved trajectory differentiation (p =
3.94 × 10-3).Cellular aging biomarkers like CXCL5 may
improve understanding of LLD and guide personalized
therapeutic interventions.},
keywords = {Humans / Biomarkers: blood / Aged / Male / Female / Major
Depressive Disorder: therapy / Major Depressive Disorder:
blood / Middle Aged / Cognitive Behavioral Therapy / Aged,
80 and over / blood-based biomarkers (Other) / cellular
senescence (Other) / late-life depression (Other) /
neurodegeneration (Other) / psychotherapeutic treatment
outcome (Other) / Biomarkers (NLM Chemicals)},
cin = {AG Jessen / AG Heneka / Patient Studies (Bonn) / AG Wagner},
ddc = {610},
cid = {I:(DE-2719)1011102 / I:(DE-2719)1011303 /
I:(DE-2719)1011101 / I:(DE-2719)1011201},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:41572662},
doi = {10.1192/j.eurpsy.2026.10153},
url = {https://pub.dzne.de/record/285023},
}