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Anxiety and Depressive Symptoms and Cortical Amyloid-β Burden in Cognitively Unimpaired Older Adults

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Abstract

Background

There is evidence of relationships between behavioral symptoms and increased risk for Alzheimer’s Disease and/or Alzheimer’s Disease biomarkers. However, the nature of this relationship is currently unknown.

Objectives

To evaluate the relationship between anxiety and depressive symptoms and amyloid-β deposition in cognitively unimpaired older adults, and to assess mediating effects of either objective or subjective cognitive skills.

Design

Cross-sectional analysis of screening data from participants enrolled in the Anti-Amyloid Treatment in Asymptomatic Alzheimer Disease (A4) Study (ClinicalTrials.gov Identifier: NCT02008357)

Setting

Data analysis

Participants

4492 cognitively unimpaired adults, age 65–85, enrolled in the Anti-Amyloid Treatment in Asymptomatic Alzheimer Disease (A4) Study

Measurements

We used linear regression to estimate the associations between amyloid-β standard uptake value ratio (SUVR) and Geriatric Depression Scale (GDS) and State Trait Anxiety Inventory (STAI) scores while adjusting for potential confounding factors as well as for Cognitive Function Index (CFI) or Preclinical Alzheimer’s Cognitive Composite (PACC) scores as possible mediational variables.

Results

4399 subjects with complete covariates were included (mean age: 71.3, 59% female), GDS ranged 0–13 (mean: 1.0), and STAI ranged 6–24 (mean: 9.9). Amyloid-β SUVR was modestly associated with STAI; mean STAI score was estimated to be 0.275 points higher (95% CI: 0.038, 0.526; p-value = 0.023) for each 0.5-point increase in cortical amyloid-β SUVR. Subjective cognitive decline (CFI) attenuated the relationship between SUVR and STAI, while objective cognitive function (PACC) did not. No statistically significant relationship between SUVR and GDS was observed (p = 0.326).

Conclusions

In cognitively unimpaired adults with low levels of depression and anxiety, cortical amyloid-β deposition is associated with anxiety but not depressive symptoms. Attenuation of this relationship by subjective cognitive difficulties suggests that anxiety may be partly due to such a perception resulting from cortical amyloid-β deposition.

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References

  1. Johnson KA, Sperling RA, Gidicsin CM, et al. Florbetapir (F18-AV-45) PET to assess amyloid burden in Alzheimer’s disease dementia, mild cognitive impairment, and normal aging. Alzheimers Dement. 2013;9(5S):S72–S83. doi:https://doi.org/10.1016/j.jalz.2012.10.007

    Article  Google Scholar 

  2. Ismail Z, Smith EE, Geda Y, et al. Neuropsychiatric symptoms as early manifestations of emergent dementia: Provisional diagnostic criteria for mild behavioral impairment. Alzheimers Dement. 2016;12(2):195–202. doi:https://doi.org/10.1016/j.jalz.2015.05.017

    Article  Google Scholar 

  3. Creese B, Brooker H, Ismail Z, et al. Mild behavioral impairment as a marker of cognitive decline in cognitively normal older adults. Am J Geriatr Psychiatry. 2019;27(8):823–834. doi:https://doi.org/10.1016/j.jagp.2019.01.215

    Article  Google Scholar 

  4. Banning LCP, Ramakers IHGB, Köhler S, et al. The association between biomarkers and neuropsychiatric symptoms across the Alzheimer’s disease spectrum. Am J Geriatr Psychiatry. 2020;28(7):735–744. doi:https://doi.org/10.1016/j.jagp.2020.01.012

    Article  Google Scholar 

  5. Zhao Q-F, Tan L, Wang H-F, et al. The prevalence of neuropsychiatric symptoms in Alzheimer’s disease: Systematic review and meta-analysis. J Affect Disord. 2016;190:264–271. doi:https://doi.org/10.1016/j.jad.2015.09.069

    Article  Google Scholar 

  6. Bennett S, Thomas AJ. Depression and dementia: cause, consequence or coincidence? Maturitas. 2014;79(2):184–190. doi:https://doi.org/10.1016/j.maturitas.2014.05.009

    Article  Google Scholar 

  7. Pietrzak RH, Lim YY, Neumeister A, et al. Amyloid-β, anxiety, and cognitive decline in preclinical Alzheimer Disease: A multicenter, prospective cohort study. JAMA Psychiatry. 2015;72(3):284. doi:https://doi.org/10.1001/jamapsychiatry.2014.2476

    Article  Google Scholar 

  8. Kim HK, Nunes PV, Oliveira KC, Young LT, Lafer B. Neuropathological relationship between major depression and dementia: a hypothetical model and review. Prog Neuropsychopharmacol Biol Psychiatry. 2016;67:51–57. doi:https://doi.org/10.1016/j.pnpbp.2016.01.008

    Article  Google Scholar 

  9. Babulal GM, Chen S, Williams MM, et al. Depression and Alzheimer’s disease biomarkers predict driving decline. J Alzheimers Dis. 2018;66(3):1213–1221. doi:https://doi.org/10.3233/JAD-180564

    Article  CAS  Google Scholar 

  10. Ehrenberg AJ, Suemoto CK, França Resende E de P, et al. Neuropathologic correlates of psychiatric symptoms in Alzheimer’s disease. J Alzheimers Dis. 2018;66(1):115–126. doi:https://doi.org/10.3233/JAD-180688

    Article  CAS  Google Scholar 

  11. 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:https://doi.org/10.1017/S1041610217002368

    Article  Google Scholar 

  12. 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. doi:https://doi.org/10.1001/archpsyc.63.5.530

    Article  Google Scholar 

  13. Singh-Manoux A, Dugravot A, Fournier A, et al. Trajectories of depressive symptoms before diagnosis of dementia. JAMA Psychiatry. 2017;74(7):712–718. doi:https://doi.org/10.1001/jamapsychiatry.2017.0660

    Article  Google Scholar 

  14. Teodorczuk A, O’Brien JT, Firbank MJ, et al. White matter changes and late-life depressive symptoms: Longitudinal study. Br J Psychiatry. 2007;191(3):212–217. doi:https://doi.org/10.1192/bjp.bp.107.036756

    Article  CAS  Google Scholar 

  15. Sperling RA, Donohue MC, Raman R, et al. Association of factors with elevated amyloid burden in clinically normal older individuals. JAMA Neurol. 2020;77(6):735. doi:https://doi.org/10.1001/jamaneurol.2020.0387

    Article  Google Scholar 

  16. Sperling RA, Rentz DM, Johnson KA, et al. The A4 study: Stopping AD before symptoms begin? Sci Transl Med. 2014;6(228):228fs13. doi:https://doi.org/10.1126/scitranslmed.3007941

    Article  Google Scholar 

  17. Grill JD, Raman R, Ernstrom K, et al. Short-term psychological outcomes of disclosing amyloid imaging results to research participants who do not have cognitive impairment. JAMA Neurol. 2020;77(12):1504. doi:https://doi.org/10.1001/jamaneurol.2020.2734

    Article  Google Scholar 

  18. Mormino EC, Papp KV, Rentz DM, et al. Early and late change on the preclinical Alzheimer’s cognitive composite in clinically normal older individuals with elevated amyloid β. Alzheimers Dement J Alzheimers Assoc. 2017;13(9):1004–1012. doi:https://doi.org/10.1016/j.jalz.2017.01.018

    Article  Google Scholar 

  19. Pontecorvo MJ, Arora AK, Devine M, et al. Quantitation of PET signal as an adjunct to visual interpretation of florbetapir imaging. Eur J Nucl Med Mol Imaging. 2017;44(5):825–837. doi:https://doi.org/10.1007/s00259-016-3601-4

    Article  Google Scholar 

  20. Amariglio RE, Donohue MC, Marshall GA, et al. Tracking early decline in cognitive function in older individuals at risk for Alzheimer disease dementia: The Alzheimer’s disease cooperative study cognitive function instrument. JAMA Neurol. 2015;72(4):446. doi:https://doi.org/10.1001/jamaneurol.2014.3375

    Article  Google Scholar 

  21. Yesavage JA, Sheikh JI. Geriatric depression scale (GDS): recent evidence and development of a shorter version. Clin Gerontol. 1986;5(1–2):165–173. doi:https://doi.org/10.1300/J018v05n01_09

    Article  Google Scholar 

  22. Marteau TM, Bekker H. The development of a six-item short-form of the state scale of the Spielberger State—Trait Anxiety Inventory (STAI). Br J Clin Psychol. 1992;31(3):301–306. doi:https://doi.org/10.1111/j.2044-8260.1992.tb00997.x

    Article  CAS  Google Scholar 

  23. White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica. 1980;48(4):817–838. doi:https://doi.org/10.2307/1912934

    Article  Google Scholar 

  24. Lyness JM. Screening for depression in elderly primary care patients: A comparison of the Center for Epidemiologic Studies-Depression Scale and the Geriatric Depression Scale. Arch Intern Med. 1997;157(4):449–454. doi:https://doi.org/10.1001/archinte.157.4.449

    Article  CAS  Google Scholar 

  25. Heister D, Brewer JB, Magda S, Blennow K, McEvoy LK. Predicting MCI outcome with clinically available MRI and CSF biomarkers. Neurology. 2011;77(17):1619–1628. doi:https://doi.org/10.1212/WNL.0b013e3182343314

    Article  CAS  Google Scholar 

  26. Krell-Roesch J, Syrjanen JA, Rakusa M, et al. Association of cortical and subcortical β-amyloid with standardized measures of depressive and anxiety symptoms in adults without dementia. J Neuropsychiatry Clin Neurosci. 2021;33(1):64–71. doi:https://doi.org/10.1176/appi.neuropsych.20050103

    Article  Google Scholar 

  27. Amariglio RE, Sikkes SAM, Marshall GA, et al. Item-level investigation of participant and study partner report on the cognitive function index from the A4 Study screening data. J Prev Alzheimers Dis. Published online 2021:1–6. doi:https://doi.org/10.14283/jpad.2021.8

  28. Corder EH, Saunders AM, Strittmatter WJ, et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science. 1993;261(5123):921–923. doi:https://doi.org/10.1126/science.8346443

    Article  CAS  Google Scholar 

  29. Lim YY, Kalinowski P, Pietrzak RH, et al. Association of β-amyloid and apolipoprotein E ε4 with memory decline in preclinical Alzheimer disease. JAMA Neurol. 2018;75(4):488. doi:https://doi.org/10.1001/jamaneurol.2017.4325

    Article  Google Scholar 

  30. Harrington KD, Gould E, Lim YY, et al. Amyloid burden and incident depressive symptoms in cognitively normal older adults: Amyloid burden and depressive symptoms. Int J Geriatr Psychiatry. 2017;32(4):455–463. doi:https://doi.org/10.1002/gps.4489

    Article  Google Scholar 

  31. Krell-Roesch J, Syrjanen JA, Mielke MM, et al. Association between neuropsychiatric symptoms and functional change in older non-demented adults: Mayo Clinic Study of Aging. J Alzheimers Dis JAD. 2020;78(3):911–917. doi:https://doi.org/10.3233/JAD-200764

    Article  Google Scholar 

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Acknowledgments

We would like to acknowledge the dedication of all the participants, the site personnel, and all of the partnership team members who continue to make the A4 and LEARN Studies possible. The complete A4 Study Team list is available at: a4study.org/a4-study-team.

Funding

Funding: Catriona Lewis was supported by University of California — Irvine, MIND & University of California — Irvine, School of Medicine Summer Research Mentorship Program. Olivia Bernstein was supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-183928 and the ARCS foundation. Joshua Grill, Daniel Gillen, and David Sultzer are supported by NIA AG066519. The sponsors had no role in the design and conduct of the study; in the collection, analysis, and interpretation of data; in the preparation of the manuscript; or in the review of approval of the manuscript. The A4 Study is a secondary prevention trial in preclinical Alzheimer’s disease, aiming to slow cognitive decline associated with brain amyloid-β accumulation in clinically normal older individuals. The A4 Study is funded by a public-private-philanthropic partnership, including funding from the National Institutes of Health-National Institute on Aging, Eli Lilly and Company, Alzheimer’s Association, Accelerating Medicines Partnership, GHR Foundation, an anonymous foundation and additional private donors, with in-kind support from Avid and Cogstate. The companion observational Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) Study is funded by the Alzheimer’s Association and GHR Foundation. The A4 and LEARN Studies are led by Dr. Reisa Sperling at Brigham and Women’s Hospital, Harvard Medical School and Dr. Paul Aisen at the Alzheimer’s Therapeutic Research Institute (ATRI), University of Southern California. The A4 and LEARN Studies are coordinated by ATRI at the University of Southern California, and the data are made available through the Laboratory for Neuro Imaging at the University of Southern California. The participants screening for the A4 Study provided permission to share their de-identified data in order to advance the quest to find a successful treatment for Alzheimer’s disease.

Author information

Authors and Affiliations

Authors

Contributions

Catriona Lewis, Olivia Bernstein, and David Sultzer conceived of the presented idea and designed the study. Olivia Bernstein and Daniel Gillen designed and executed the statistical analysis. All authors analyzed the data and contributed to the interpretation of the results. Catriona Lewis and Olivia Bernstein wrote the manuscript and designed the figures with significant input and feedback from Joshua Grill, Daniel Gillen, and David Sultzer.

Corresponding author

Correspondence to Catriona K. Lewis.

Additional information

Disclosures/Conflict of Interest

Dr. Sultzer has received research support from NIH and Eisai, has participated as a paid member of a DSMB or adjudication committee with Acadia, Avanir, Janssen, and Otsuka, and has received consulting fees from Avanir. Dr. Grill reports research support from NIH and is site Co-Investigator of the ongoing A4 study at University of California — Irvine and has received consulting fees from SiteRx, Cogniciti, and Flint Rehab in the last 36 months. Dr. Gillen reports research support from the Alzheimer’s Disease Research Center, University of California — Irvine and from the NIH. Dr. Gillen has also received consulting fees from Eli Lilly, ChemoCyntrix, FibroGen, GlaxoSmithKline, ProventionBio, and Biom’Up and participated as a paid member of a DSMB or advisory board with Pfizer, Biomarin, Novo Nordisk, Novartis, Amgen, Celgene, CRISPR, AstraZeneca, Merck Serano, Array, Seattle Genetics, Genentech/Roche, UCB, Acerta, Juno Therapeutics, Medivation. Other authors report no potential conflicts with any product mentioned or concept discussed in this article.

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Lewis, C.K., Bernstein, O.M., Grill, J.D. et al. Anxiety and Depressive Symptoms and Cortical Amyloid-β Burden in Cognitively Unimpaired Older Adults. J Prev Alzheimers Dis 9, 286–296 (2022). https://doi.org/10.14283/jpad.2022.13

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  • DOI: https://doi.org/10.14283/jpad.2022.13

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