Prepandemic Alzheimer Disease Biomarkers and Anxious-Depressive Symptoms During the COVID-19 Confinement in Cognitively Unimpaired Adults

Muge Akinci, Cleofé Peña-Gómez, Gregory Operto, Sherezade Fuentes-Julian, Carme Deulofeu, Gonzalo Sánchez-Benavides, Marta Milà-Alomà, Oriol Grau-Rivera, Nina Gramunt, Arcadi Navarro, Carolina Minguillón, Karine Fauria, Ivonne Suridjan, Gwendlyn Kollmorgen, Anna Bayfield, Kaj Blennow, Henrik Zetterberg, José Luis Molinuevo, Marc Suárez-Calvet, Juan Domingo Gispert, Eider M Arenaza-Urquijo, ALFA Study, Muge Akinci, Cleofé Peña-Gómez, Gregory Operto, Sherezade Fuentes-Julian, Carme Deulofeu, Gonzalo Sánchez-Benavides, Marta Milà-Alomà, Oriol Grau-Rivera, Nina Gramunt, Arcadi Navarro, Carolina Minguillón, Karine Fauria, Ivonne Suridjan, Gwendlyn Kollmorgen, Anna Bayfield, Kaj Blennow, Henrik Zetterberg, José Luis Molinuevo, Marc Suárez-Calvet, Juan Domingo Gispert, Eider M Arenaza-Urquijo, ALFA Study

Abstract

Background and objectives: Increased anxious-depressive symptomatology is observed in the preclinical stage of Alzheimer disease (AD), which may accelerate disease progression. We investigated whether β-amyloid, cortical thickness in medial temporal lobe structures, neuroinflammation, and sociodemographic factors were associated with greater anxious-depressive symptoms during the COVID-19 confinement.

Methods: This retrospective observational study included cognitively unimpaired older adults from the Alzheimer's and Families cohort, the majority with a family history of sporadic AD. Participants performed the Hospital Anxiety and Depression Scale (HADS) during the COVID-19 confinement. A subset had available retrospective (on average: 2.4 years before) HADS assessment, amyloid [18F] flutemetamol PET and structural MRI scans, and CSF markers of neuroinflammation (interleukin-6 [IL-6], triggering receptor expressed on myeloid cells 2, and glial fibrillary acidic protein levels). We performed multivariable linear regression models to investigate the associations of prepandemic AD-related biomarkers and sociodemographic factors with HADS scores during the confinement. We further performed an analysis of covariance to adjust by participants' prepandemic anxiety-depression levels. Finally, we explored the role of stress and lifestyle changes (sleep patterns, eating, drinking, smoking habits, and medication use) on the tested associations and performed sex-stratified analyses.

Results: We included 921 (254 with AD biomarkers) participants. β-amyloid positivity (B = 3.73; 95% CI = 1.1 to 6.36; p = 0.006), caregiving (B = 1.37; 95% CI 0.24-2.5; p = 0.018), sex (women: B = 1.95; 95% CI 1.1-2.79; p < 0.001), younger age (B = -0.12; 95% CI -0.18 to -0.052; p < 0.001), and lower education (B = -0.16; 95% CI -0.28 to -0.042; p = 0.008) were associated with greater anxious-depressive symptoms during the confinement. Considering prepandemic anxiety-depression levels, we further observed an association between lower levels of CSF IL-6 (B = -5.11; 95% CI -10.1 to -0.13; p = 0.044) and greater HADS scores. The results were independent of stress-related variables and lifestyle changes. Stratified analysis revealed that the associations were mainly driven by women.

Discussion: Our results link AD-related pathophysiology and neuroinflammation with greater anxious-depressive symptomatology during the COVID-19-related confinement, notably in women. AD pathophysiology may increase neuropsychiatric symptomatology in response to stressors. This association may imply a worse clinical prognosis in people at risk for AD after the pandemic and thus deserves to be considered by clinicians.

Trial registration information: ClinicalTrials.gov Identifier NCT02485730.

Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

Figures

Figure 1. Flow Diagram Illustrating the Recruitment…
Figure 1. Flow Diagram Illustrating the Recruitment and Number of Participants Included in Cross-sectional and Longitudinal Analyses
HADS = Hospital Anxiety and Depression Scale.
Figure 2. Forest Plots Showing the Multivariable…
Figure 2. Forest Plots Showing the Multivariable Linear Associations With HADS Total Scores During the Confinement
The figure shows the estimated amount of change (95% CI) in HADS total scores for a given difference in each factor. (A) Biomarker sample. (B) Whole sample. Both models are adjusted by preconfinement HADS scores and the individual variability between preconfinement and confinement HADS assessments. The colors on the figure represent: black = nonsignificant p value, brown = p < 0.05, orange ≤ 0.01, and red ≤ 0.001. AD = Alzheimer disease; HADS = Hospital Anxiety and Depression Scale; IL-6 = interleukin-6.

References

    1. Brooks SK, Webster RK, Smith LE, et al. . The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet (London, England). 2020;395(10227):912-920. doi: 10.1016/S0140-6736(20)30460-8.
    1. Nochaiwong S, Ruengorn C, Thavorn K, et al. . Global prevalence of mental health issues among the general population during the coronavirus disease-2019 pandemic: a systematic review and meta-analysis. Sci Rep. 2021;11(1):10173. doi: 10.1038/s41598-021-89700-8.
    1. Gimson A, Schlosser M, Huntley JD, Marchant NL. Support for midlife anxiety diagnosis as an independent risk factor for dementia: a systematic review. BMJ Open. 2018;8(4):e019399. doi: 10.1136/bmjopen-2017-019399.
    1. Geerlings MI, den Heijer T, Koudstaal PJ, Hofman A, Breteler MMB. History of depression, depressive symptoms, and medial temporal lobe atrophy and the risk of Alzheimer disease. Neurology. 2008;70(15):1258-1264. doi: 10.1212/01.wnl.0000308937.30473.d1.
    1. Ownby RL, Crocco E, Acevedo A, John V, Loewenstein D. Depression and risk for Alzheimer disease: systematic review, meta-analysis, and metaregression analysis. Arch Gen Psychiatry. 2006;63(5):530-538. doi: 10.1001/archpsyc.63.5.530.
    1. Green RC, Cupples LA, Kurz A, et al. . Depression as a risk factor for Alzheimer disease: the MIRAGE Study. Arch Neurol. 2003;60(5):753-759. doi: 10.1001/archneur.60.5.753.
    1. Steenland K, Karnes C, Seals R, Carnevale C, Hermida A, Levey A. Late-life depression as a risk factor for mild cognitive impairment or Alzheimer's disease in 30 US Alzheimer's disease centers. J Alzheimers Dis. 2012;31(2):265-275. doi: 10.3233/JAD-2012-111922.
    1. Donovan NJ, Amariglio RE, Zoller AS, et al. . Subjective cognitive concerns and neuropsychiatric predictors of progression to the early clinical stages of Alzheimer disease. Am J Geriatr Psychiatry. 2014;22(12):1642-1651. doi: 10.1016/j.jagp.2014.02.007.
    1. Geda YE, Knopman DS, Mrazek DA, et al. . Depression, apolipoprotein E genotype, and the incidence of mild cognitive impairment: a prospective cohort study. Arch Neurol. 2006;63(3):435-440. doi: 10.1001/archneur.63.3.435.
    1. Mielke MM. Sex and gender differences in Alzheimer's disease dementia. Psychiatr Times. 2018;35(11):14-17.
    1. 2021 Alzheimer's disease facts and figures. Alzheimers Dement. 2021;17(3):327-406. doi:10.1002/alz.12328
    1. Sallim AB, Sayampanathan AA, Cuttilan A, Ho R. Prevalence of mental health disorders among caregivers of patients with Alzheimer disease. J Am Med Dir Assoc. 2015;16(12):1034-1041. doi: 10.1016/j.jamda.2015.09.007.
    1. Li Q, Zhang H, Zhang M, et al. . Prevalence and risk factors of anxiety, depression, and sleep problems among caregivers of people living with neurocognitive disorders during the COVID-19 pandemic. Front Psychiatry. 2020;11:590343. doi: 10.3389/fpsyt.2020.590343.
    1. Lavretsky H, Siddarth P, Kepe V, et al. . Depression and anxiety symptoms are associated with cerebral FDDNP-PET binding in middle-aged and older nondemented adults. Am J Geriatr Psychiatry. 2009;17(6):493-502. doi: 10.1097/jgp.0b013e3181953b82.
    1. Pichet Binette A, Vachon-Presseau É, Morris J, et al. , Dominantly Inherited Alzheimer Network DIAN, PREVENT-AD Research Group. Amyloid and tau pathology associations with personality traits, neuropsychiatric symptoms, and cognitive lifestyle in the preclinical phases of sporadic and autosomal dominant Alzheimer's disease. Biol Psychiatry. 2021;89(8):776-785. doi: 10.1016/j.biopsych.2020.01.023.
    1. Dafsari FS, Jessen F. Depression—an underrecognized target for prevention of dementia in Alzheimer's disease. Transl Psychiatry. 2020;10(1):160-213. doi: 10.1038/s41398-020-0839-1.
    1. Milà-Alomà M, Salvadó G, Gispert JD, et al. Amyloid beta, tau, synaptic, neurodegeneration, and glial biomarkers in the preclinical stage of the Alzheimer's continuum. Alzheimers Dement J Alzheimers Assoc. 2020;16(10):1358-1371. doi:10.1002/alz.12131.
    1. Blum-Degen D, Müller T, Kuhn W, Gerlach M, Przuntek H, Riederer P. Interleukin-1 beta and interleukin-6 are elevated in the cerebrospinal fluid of Alzheimer's and de novo Parkinson's disease patients. Neurosci Lett. 1995;202(1-2):17-20. doi: 10.1016/0304-3940(95)12192-7.
    1. Sasayama D, Hattori K, Wakabayashi C, et al. . Increased cerebrospinal fluid interleukin-6 levels in patients with schizophrenia and those with major depressive disorder. J Psychiatr Res. 2013;47(3):401-406. doi: 10.1016/j.jpsychires.2012.12.001.
    1. Molinuevo JL, Gramunt N, Gispert JD, et al. . The ALFA project: a research platform to identify early pathophysiological features of Alzheimer's disease. Alzheimers Dementia (N Y). 2016;2(2):82-92. doi: 10.1016/j.trci.2016.02.003.
    1. Mosconi L, Rinne JO, Tsui WH, et al. . Increased fibrillar amyloid-{beta} burden in normal individuals with a family history of late-onset Alzheimer's disease. Proc Natl Acad Sci U S A. 2010;107(13):5949-5954. doi: 10.1073/pnas.0914141107.
    1. Arenaza-Urquijo EM, Salvadó G, Operto G, et al. , ALFA Study. Association of years to parent's sporadic onset and risk factors with neural integrity and Alzheimer biomarkers. Neurology. 2020;95(15):e2065-e2074. doi: 10.1212/WNL.0000000000010527.
    1. Spanish Royal Decree 463/2020, of March 14th, 2020, declaring the state of alarm in Spain to manage the health crisis situation caused by COVID-19. Ramón y Cajal Abogados. 2020. Accessed November 11, 2021. .
    1. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361-370. doi: 10.1111/j.1600-0447.1983.tb09716.x.
    1. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385-396. doi: 10.2307/2136404.
    1. Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: assessing the ability to bounce back. Int J Behav Med. 2008;15(3):194-200. doi: 10.1080/10705500802222972.
    1. Jack CR, Wiste HJ, Weigand SD, et al. . Defining imaging biomarker cut points for brain aging and Alzheimer's disease. Alzheimers Demen J. 2017;13(3):205-216. doi: 10.1016/j.jalz.2016.08.005.
    1. Salvadó G, Molinuevo JL, Brugulat-Serrat A, et al. , Alzheimer's Disease Neuroimaging Initiative, for the ALFA Study. Centiloid cut-off values for optimal agreement between PET and CSF core AD biomarkers. Alzheimers Res Ther. 2019;11(1):27. doi: 10.1186/s13195-019-0478-z.
    1. Milà-Alomà M, Salvadó G, Gispert JD, et al. , ALFA study. Amyloid beta, tau, synaptic, neurodegeneration, and glial biomarkers in the preclinical stage of the Alzheimer's continuum. Alzheimers Demen J. 2020;16(10):1358-1371. doi: 10.1002/alz.12131.
    1. Puhan MA, Frey M, Büchi S, Schünemann HJ. The minimal important difference of the hospital anxiety and depression scale in patients with chronic obstructive pulmonary disease. Health Qual Life Outcomes. 2008;6:46. doi: 10.1186/1477-7525-6-46.
    1. Krell-Roesch J, Lowe VJ, Neureiter J, et al. . Depressive and anxiety symptoms and cortical amyloid deposition among cognitively normal elderly persons: the Mayo Clinic Study of Aging. Int Psychogeriatr. 2018;30(2):245-251. doi: 10.1017/S1041610217002368.
    1. Yasuno F, Kazui H, Morita N, et al. . High amyloid-β deposition related to depressive symptoms in older individuals with normal cognition: a pilot study. Int J Geriatr Psychiatry. 2016;31(8):920-928. doi: 10.1002/gps.4409.
    1. Donovan NJ, Locascio JJ, Marshall GA, et al. , Harvard Aging Brain Study. Longitudinal association of amyloid beta and anxious-depressive symptoms in cognitively normal older adults. Am J Psychiatry. 2018;175(6):530-537. doi: 10.1176/appi.ajp.2017.17040442.
    1. Perin S, Harrington KD, Lim YY, et al. , AIBL Research Group. Amyloid burden and incident depressive symptoms in preclinical Alzheimer's disease. J Affect Disord. 2018;229:269-274. doi: 10.1016/j.jad.2017.12.101.
    1. Herman JP, McKlveen JM, Ghosal S, et al. . Regulation of the hypothalamic-pituitary-adrenocortical stress response. Compr Physiol. 2016;6(2):603-621. doi: 10.1002/cphy.c150015.
    1. Dong H, Csernansky JG. Effects of stress and stress hormones on amyloid-beta protein and plaque deposition. J Alzheimers Dis. 2009;18(2):459-469. doi: 10.3233/JAD-2009-1152.
    1. Canet G, Hernandez C, Zussy C, Chevallier N, Desrumaux C, Givalois L. Is AD a stress-related disorder? Focus on the HPA axis and its promising therapeutic targets. Front Aging Neurosci. 2019;11:269. doi: 10.3389/fnagi.2019.00269.
    1. Ng KP, Chiew H, Rosa-Neto P, Kandiah N, Ismail Z, Gauthier S. Associations of AT(N) biomarkers with neuropsychiatric symptoms in preclinical Alzheimer's disease and cognitively unimpaired individuals. Transl Neurodegener. 2021;10(1):11. doi: 10.1186/s40035-021-00236-3.
    1. Holt-Gosselin B, Tozzi L, Ramirez CA, Gotlib IH, Williams LM. Coping strategies, neural structure, and depression and anxiety during the COVID-19 pandemic: a longitudinal study in a naturalistic sample spanning clinical diagnoses and subclinical symptoms. Biol Psychiatry Glob Open Sci. 2021;1(4):261-271. doi: 10.1016/j.bpsgos.2021.06.007.
    1. Hurley LL, Tizabi Y. Neuroinflammation, neurodegeneration and depression. Neurotox Res. 2013;23(2):131-144. doi: 10.1007/s12640-012-9348-1.
    1. Hüll M, Strauss S, Berger M, Volk B, Bauer J. The participation of interleukin-6, a stress-inducible cytokine, in the pathogenesis of Alzheimer's disease. Behav Brain Res. 1996;78(1):37-41. doi: 10.1016/0166-4328(95)00213-8.
    1. Yamada K, Kono K, Umegaki H, et al. . Decreased interleukin-6 level in the cerebrospinal fluid of patients with Alzheimer-type dementia. Neurosci Lett. 1995;186(2-3):219-221. doi: 10.1016/0304-3940(95)11318-q.
    1. Lim MM, Gerstner JR, Holtzman DM. The sleep–wake cycle and Alzheimer's disease: what do we know? Neurodegener Dis Manag. 2014;4(5):351-362. doi: 10.2217/nmt.14.33.
    1. Barnes LL, Wilson RS, Bienias JL, Schneider JA, Evans DA, Bennett DA. Sex differences in the clinical manifestations of Alzheimer disease pathology. Arch Gen Psychiatry. 2005;62(6):685-691. doi: 10.1001/archpsyc.62.6.685.
    1. O'Connor RC, Wetherall K, Cleare S, et al. . Mental health and well-being during the COVID-19 pandemic: longitudinal analyses of adults in the UK COVID-19 Mental Health & Wellbeing study. Br J Psychiatry. 2021;218(6):326-333. doi: 10.1192/bjp.2020.212.
    1. Giuntella O, Hyde K, Saccardo S, Sadoff S. Lifestyle and mental health disruptions during COVID-19. Proc Natl Acad Sci U S A. 2021;118(9):e2016632118. doi: 10.1073/pnas.2016632118.
    1. Bergmann M, Wagner M. The impact of COVID-19 on informal caregiving and care receiving across Europe during the first phase of the pandemic. Front Public Health. 2021;9:673874. doi: 10.3389/fpubh.2021.673874.
    1. Harmell AL, Chattillion EA, Roepke SK, Mausbach BT. A review of the psychobiology of dementia caregiving: a focus on resilience factors. Curr Psychiatry Rep. 2011;13(3):219-224. doi: 10.1007/s11920-011-0187-1.
    1. Giorgi G, Lecca LI, Alessio F, et al. . COVID-19-Related mental health effects in the workplace: a narrative review. Int J Environ Res Public Health. 2020;17(21):E7857. doi: 10.3390/ijerph17217857.
    1. Melki J, Tamim H, Hadid D, Makki M, El Amine J, Hitti E. Mitigating infodemics: the relationship between news exposure and trust and belief in COVID-19 fake news and social media spreading. PLoS One. 2021;16(6):e0252830. doi: 10.1371/journal.pone.0252830.

Source: PubMed

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