Symptomatic Clusters Related to Amyloid Positivity in Cognitively Unimpaired Individuals

Author:

Sannemann Lena1, ,Bartels Claudia2,Brosseron Frederic3,Buerger Katharina45,Fliessbach Klaus36,Freiesleben Silka Dawn78,Frommann Ingo36,Glanz Wenzel9,Heneka Michael T.10,Janowitz Daniel5,Kilimann Ingo1112,Kleineidam Luca36,Lammerding Dominik8,Laske Christoph1314,Munk Matthias H.J.1315,Perneczky Robert4161718,Peters Oliver78,Priller Josef7192021,Rauchmann Boris-Stephan162223,Rostamzadeh Ayda1,Roy-Kluth Nina3,Schild Ann-Katrin1,Schneider Anja36,Schneider Luisa-Sophie8,Spottke Annika324,Spruth Eike Jakob719,Teipel Stefan1112,Wagner Michael36,Wiltfang Jens22526,Wolfsgruber Steffen36,Duezel Emrah927,Jessen Frank1328

Affiliation:

1. Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany

2. Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Göttingen, Germany

3. German Center for Neurodegenerative Diseases – DZNE, Bonn, Germany

4. German Center for Neurodegenerative Diseases – DZNE, Munich, Germany

5. Institute for Stroke and Dementia Research – ISD, University Hospital, LMU Munich, Munich, Germany

6. Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany

7. German Center for Neurodegenerative Diseases – DZNE, Berlin, Germany

8. Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin-Department of Psychiatry and Neurosciences, Berlin, Germany

9. German Center for Neurodegenerative Diseases – DZNE, Magdeburg, Germany

10. Luxembourg Centre for Systems Biomedicine – LCSB, University of Luxembourg, Belvaux, Luxembourg

11. German Center for Neurodegenerative Diseases – DZNE, Rostock, Germany

12. Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany

13. German Center for Neurodegenerative Diseases – DZNE, Tübingen, Germany

14. Department of Psychiatry and Psychotherapy, Section for Dementia Research, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany

15. Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany

16. Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany

17. Munich Cluster for Systems Neurology – SyNergy, Munich, Munich, Germany

18. Ageing Epidemiology Research Unit – AGE, School of Public Health, Imperial College London, London, UK

19. Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, Berlin, Germany

20. Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany

21. University of Edinburgh and UK DRI, Edinburgh, UK

22. Sheffield Institute for Translational Neuroscience – SITraN, University of Sheffield, Sheffield, UK

23. Department of Neuroradiology, University Hospital LMU, Munich, Germany

24. Department of Neurology, University of Bonn, Bonn, Germany

25. German Center for Neurodegenerative Diseases – DZNE, Göttingen, Germany

26. Department of Medical Sciences, Neurosciences and Signaling Group, Institute of Biomedicine – iBiMED, University of Aveiro, Aveiro, Portugal

27. Institute of Cognitive Neurology and Dementia Research – IKND, Otto-von-Guericke University, Magdeburg, Germany

28. Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases – CECAD, University of Cologne, Cologne, Germany

Abstract

Background: The NIA-AA Research Framework on Alzheimer’s disease (AD) proposes a transitional stage (stage 2) characterized by subtle cognitive decline, subjective cognitive decline (SCD) and mild neurobehavioral symptoms (NPS). Objective: To identify participant clusters based on stage 2 features and assess their association with amyloid positivity in cognitively unimpaired individuals. Methods: We included baseline data of N = 338 cognitively unimpaired participants from the DELCODE cohort with data on cerebrospinal fluid biomarkers for AD. Classification into the AD continuum (i.e., amyloid positivity, A+) was based on Aβ42/40 status. Neuropsychological test data were used to assess subtle objective cognitive dysfunction (OBJ), the subjective cognitive decline interview (SCD-I) was used to detect SCD, and the Neuropsychiatric Inventory Questionnaire (NPI-Q) was used to assess NPS. A two-step cluster analysis was carried out and differences in AD biomarkers between clusters were analyzed. Results: We identified three distinct participant clusters based on presented symptoms. The highest rate of A+ participants (47.6%) was found in a cluster characterized by both OBJ and SCD. A cluster of participants that presented with SCD and NPS (A+:26.6%) and a cluster of participants with overall few symptoms (A+:19.7%) showed amyloid positivity in a range that was not higher than the expected A+ rate for the age group. Across the full sample, participants with a combination of SCD and OBJ in the memory domain showed a lower Aβ42/ptau181 ratio compared to those with neither SCD nor OBJ. Conclusions: The cluster characterized by participants with OBJ and concomitant SCD was enriched for amyloid pathology.

Publisher

IOS Press

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