Cited by 57Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

Plasma amyloid, tau, and neurodegeneration biomarker profiles predict Alzheimer's disease pathology and clinical progression in older adults without dementia

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Shen, Xue‐Ning, Li, Jie‐Qiong, Wang, Hui‐Fu, Li, Hong‐Qi, Huang, Yu‐Yuan, Yang, Yu‐Xiang, Tan, Lan, Dong, Qiang +2 more·2020·Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

Abstract

Introduction Plasma markers have been reported to be associated with brain amyloid burden, tau pathology, or neurodegeneration. We aimed to evaluate whether plasma biomarker profiles could predict Alzheimer's disease (AD) pathology and clinical progression in older adults without dementia. Methods Cross-sectional and longitudinal data of participants enrolled in this study were from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Plasma amyloid beta (Aβ)1-42/Aβ1-40 ratio was selected as the marker for amyloid pathology, p-tau181 for tau pathology, and neurofilament light for neurodegeneration. Cut-offs for these plasma markers were calculated with well-established positron emission tomography and structural imaging biomarkers as reference. Older adults without dementia were categorized into eight groups at baseline by plasma amyloid/tau/neurodegeneration (A/T/N) cut-offs. Clinical progression was analyzed using linear mixed-effects models and Cox proportional hazard models. Results A total of 183 participants (97 cognitively normal [CN] subjects and 86 patients with mild cognitive impairment [MCI]; mean age 72.6 years, and 48.1% men) were included. Participants with A+ had significantly higher proportions of apolipoprotein E (APOE) gene ɛ4 carriers than those with A–. Brain atrophy was observed in all groups of CN, whereas cognition decline was obvious in the A+T+N+ group. Compared to A–T–N–, MCI patients with A+T+N+ had faster cognition worsening and faster brain atrophy. In the whole cohort, A+T+N+ and A+T+N– participants were at higher risk of clinical progression. Discussion Plasma A/T/N biomarker profiles may predict AD pathology and clinical progression, indicating a potential role for plasma biomarkers in clinical trials. More research is warranted to develop a robust plasma AD framework.

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  • KP activation during viral infections such as VEEV may drive the pathological interplay of inflammation and KYN dysregulation in the development or exacerbation of neurodegeneration.

    “This indicates KP activation during viral infections such as VEEV may drive the pathological interplay of inflammation and KYN dysregulation in the development or exacerbation of neurodegeneration [28,29,30].”

    From VEEV TC-83 Triggers Dysregulation of the Tryptophan–Kynurenine Pathway in the Central Nervous System That Correlates with Cognitive Impairment in Tg2576 Mice (2024) · cites this paper as [28]

    The Results and Discussion address Alzheimer’s biomarker profiles, brain atrophy, and clinical progression, not kynurenine-pathway activation during viral infection. Searches for VEEV, kynurenine/KYN dysregulation, and inflammation returned no passage addressing the proposed mechanism; the References mention an HIV study but do not establish the claim. (LLM, conf=0.76)

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  1. [1]Scheltens P, Blennow K, Breteler MM, et al. Alzheimer's disease. Lancet. 2016; 388: 505‐ 517. 26921134
  2. [4]Sperling RA, Aisen PS, Beckett LA, et al. Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011; 7: 280‐ 292. 21514248 PMC3220946
  3. [5]Jack CR, Jr, Bennett DA, Blennow K, et al. A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology. 2016; 87: 539‐ 547. 27371494 PMC4970664
  4. [6]Yu JT, Li JQ, Suckling J, et al. Frequency and longitudinal clinical outcomes of Alzheimer's AT(N) biomarker profiles: a longitudinal study. Alzheimers Dement. 2019; 15: 1208‐ 1217. 31399333
  5. [7]Soldan A, Pettigrew C, Fagan AM, et al. ATN profiles among cognitively normal individuals and longitudinal cognitive outcomes. Neurology. 2019; 92: e1567‐ e79. 30842300 PMC6448449
  6. [10]Vergallo A, Megret L, Lista S, et al. Plasma amyloid beta 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease. Alzheimers Dement. 2019; 15: 764‐ 775. 31113759
  7. [12]Vogelgsang J, Shahpasand‐Kroner H, Vogelgsang R, Streit F, Vukovich R, Wiltfang J. Multiplex immunoassay measurement of amyloid‐beta42 to amyloid‐beta40 ratio in plasma discriminates between dementia due to Alzheimer's disease and dementia not due to Alzheimer's disease. Exp Brain Res. 2018; 236: 1241‐ 1250. 29480353
  8. [14]Schindler SE, Bollinger JG, Ovod V, et al. High‐precision plasma β‐amyloid 42/40 predicts current and future brain amyloidosis. Neurology. 2019; 93: e1647‐ e59. 31371569 PMC6946467
  9. [15]Fossati S, Ramos Cejudo J, Debure L, et al. Plasma tau complements CSF tau and P‐tau in the diagnosis of Alzheimer's disease. Alzheimer's & dementia (Amsterdam, Netherlands). 2019; 11: 483‐ 492. PMC6624242 31334328
  10. [16]Palmqvist S, Insel PS, Stomrud E, et al. Cerebrospinal fluid and plasma biomarker trajectories with increasing amyloid deposition in Alzheimer's disease. EMBO Mol Med. 2019; 11: e11170. 31709776 PMC6895602
  11. [17]Park JC, Han SH, Yi D, et al. Plasma tau/amyloid‐beta1‐42 ratio predicts brain tau deposition and neurodegeneration in Alzheimer's disease. Brain. 2019; 142: 771‐ 786. 30668647
  12. [18]Mattsson N, Andreasson U, Zetterberg H, Blennow K. Association of plasma neurofilament light with eurodegeneration in patients with Alzheimer disease. JAMA Neurol. 2017; 74: 557‐ 566. 28346578 PMC5822204
  13. [19]Mattsson N, Cullen NC, Andreasson U, Zetterberg H, Blennow K. Association between longitudinal plasma neurofilament light and neurodegeneration in patients with Alzheimer disease. JAMA Neurol. 2019; 76: 791‐ 799. 31009028 PMC6583067
  14. [20]Benedet AL, Ashton NJ, Pascoal TA, et al. Plasma neurofilament light associates with Alzheimer's disease metabolic decline in amyloid‐positive individuals. Alzheimers Dement (Amst) 2019; 11: 679‐ 689. PMC6816316 31673598
  15. [21]Verberk IMW, Slot RE, Verfaillie SCJ, et al. Plasma amyloid as prescreener for the earliest Alzheimer pathological changes. Ann Neurol. 2018; 84: 648‐ 658. 30196548 PMC6282982
  16. [22]Palmqvist S, Janelidze S, Stomrud E, et al. Performance of fully automated plasma assays as screening tests for Alzheimer disease‐related β‐amyloid status. JAMA Neurol. 2019; 76: 1060‐ 1069. PMC6593637 31233127
  17. [23]Landau SM, Harvey D, Madison CM, et al. Comparing predictors of conversion and decline in mild cognitive impairment. Neurology. 2010; 75: 230‐ 238. 20592257 PMC2906178
  18. [25]McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011; 7: 263‐ 269. 21514250 PMC3312024
  19. [26]Kolibas E, Korinkova V, Novotny V, Vajdickova K, Hunakova D. ADAS‐cog (Alzheimer's Disease Assessment Scale‐cognitive subscale)–validation of the Slovak version. Bratisl Lek Listy. 2000; 101: 598‐ 602. 11218956
  20. [27]Karikari TK, Pascoal TA, Ashton NJ, et al. Blood phosphorylated tau 181 as a biomarker for Alzheimer's disease: a diagnostic performance and prediction modelling study using data from four prospective cohorts. Lancet Neurol. 2020; 19: 422‐ 433. 32333900
  21. [28]Gisslén M, Price RW, Andreasson U, et al. Plasma concentration of the neurofilament light protein (NFL) is a biomarker of CNS injury in HIV infection: a cross‐sectional study. EBioMedicine. 2016; 3: 135‐ 140. 26870824 PMC4739412
  22. [29]Jack CR, Jr, Wiste HJ, Therneau TM, et al. Associations of amyloid, tau, and neurodegeneration biomarker profiles with rates of memory decline among individuals without dementia. JAMA. 2019; 321: 2316‐ 2325. 31211344 PMC6582267
  23. [30]Landau SM, Harvey D, Madison CM, et al. Associations between cognitive, functional, and FDG‐PET measures of decline in AD and MCI. Neurobiol Aging. 2011; 32: 1207‐ 1218. 19660834 PMC2891865
  24. [31]Mormino EC, Betensky RA, Hedden T, et al. Synergistic effect of β‐amyloid and neurodegeneration on cognitive decline in clinically normal individuals. JAMA Neurol. 2014; 71: 1379‐ 1385. 25222039 PMC4293023
  25. [32]Caroli A, Prestia A, Galluzzi S, et al. Mild cognitive impairment with suspected nonamyloid pathology (SNAP): prediction of progression. Neurology. 2015; 84: 508‐ 515. 25568301 PMC4336071
  26. [35]Lewczuk P, Ermann N, Andreasson U, et al. Plasma neurofilament light as a potential biomarker of neurodegeneration in Alzheimer's disease. Alzheimers Res Ther. 2018; 10: 71. 30055655 PMC6064615
  27. [36]Knopman DS, Jack CR, Jr, Wiste HJ, et al. Brain injury biomarkers are not dependent on beta‐amyloid in normal elderly. Ann Neurol. 2013; 73: 472‐ 480. 23424032 PMC3660408
  28. [38]Wirth M, Villeneuve S, Haase CM, et al. Associations between Alzheimer disease biomarkers, neurodegeneration, and cognition in cognitively normal older people. JAMA Neurol. 2013; 70: 1512‐ 1519. 24166579 PMC4962545
  29. [40]Soldan A, Pettigrew C, Cai Q, et al. Hypothetical preclinical Alzheimer disease groups and longitudinal cognitive change. JAMA Neurol. 2016; 73: 698‐ 705. 27064267 PMC5173327
  30. [41]Mormino EC, Betensky RA, Hedden T, et al. Synergistic effect of beta‐amyloid and neurodegeneration on cognitive decline in clinically normal individuals. JAMA Neurol. 2014; 71: 1379‐ 1385. 25222039 PMC4293023
  31. [42]Wirth M, Oh H, Mormino EC, Markley C, Landau SM, Jagust WJ. The effect of amyloid beta on cognitive decline is modulated by neural integrity in cognitively normal elderly. Alzheimers Dement. 2013; 9: 687‐ 698.e1. 23474040 PMC3823816
  32. [43]Jack CR, Jr, Knopman DS, Jagust WJ, et al. Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet Neurol. 2010; 9: 119‐ 128. 20083042 PMC2819840
  33. [44]Gordon BA, Blazey TM, Su Y, et al. Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study. Lancet Neurol. 2018; 17: 241‐ 250. 29397305 PMC5816717
  34. [45]Knopman DS, Jack CR, Jr, Wiste HJ, et al. Short‐term clinical outcomes for stages of NIA‐AA preclinical Alzheimer disease. Neurology. 2012; 78: 1576‐ 1582. 22551733 PMC3348848

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Authors
Shen, X., Li, J., Wang, H., Li, H., Huang, Y., Yang, Y., Tan, L., Dong, Q., Yu, J., & Initiative, A. D. N.
Affiliations
  • Shanghai Medical College of Fudan University (CN)
  • Department of Neurology the Affiliated Hospital of Qingdao University Qingdao China
  • Qingdao University (CN)
  • Department of Neurology and Institute of Neurology Huashan Hospital Shanghai Medical College Fudan University Shanghai China
Corresponding author
Yu, Jin‐Tai
Venue
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Publisher
Wiley
Published
2020-01
Volume
12
Issue
1
Pages
e12104-e12104
ISSN
2352-8729 (ISSN-L)
OpenAlex
W3087949202
Cited by
57
References
45
Citations by year
2026: 1 · 2025: 7 · 2024: 12 · 2023: 15 · 2022: 11 · 2021: 10 · 2020: 1
FWCI
6.75
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (91849126, 81571245, 81771148)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
Keywords
Alzheimer's disease, plasma biomarkers, p-tau181, neurofilament light chain, neurodegeneration, amyloid pathology, tau pathology, mild cognitive impairment, cognitive decline, brain atrophy, APOE ε4, clinical progression, cognitively normal older adults, ADNI

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