Abstract
Longevity-associated neurological disorders have been observed across human and canine aging populations. Alzheimer’s disease (AD) and canine cognitive dysfunction syndrome (CDS) represent comparable diseases affecting both species as they age. Translational diagnostic and therapeutic research is needed for these incurable diseases. The amyloid β (Aβ) peptide family are AD-associated peptides with identical amino acid sequences between dogs and humans. Plasma Aβ42 concentration increases with age and decreases with AD in humans, and cerebrospinal fluid (CSF) concentration decreases in AD and correlates inversely with the amyloid load within the brain. Similarly, CSF Aβ42 concentrations decrease in dogs with CDS but there is limited and conflicting information on plasma Aβ42 concentrations in aging dogs and dogs with CDS. We measured plasma concentrations of Aβ42 and Aβ40 with an ultrasensitive single-molecule array assay (SIMOA) in a population of healthy aging dogs of different life stages (n = 36) and dogs affected with CDS (n = 11). In addition, the ratio of Aβ42/β40 was calculated. The mean plasma concentrations of Aβ42 and Aβ40 increased significantly with age (r2 = 0.27, p = 0.001; and r2 = 0.42, p < 0.001, respectively) and with life stage: puppy/junior group (0.43–2 years): 1.23 ± 0.95 and 38.26 ± 49.43 pg/mL; adult/mature group (2.1–9 years): 10.99 ± 5.45 and 131.05 ± 80.17 pg/mL; geriatric/senior group (9.3–14.5 years): 18.65 ± 16.65 and 192.88 ± 146.38 pg/mL, respectively. Concentrations of Aβ42 and Aβ40 in dogs with CDS (11.0–15.6 years) were significantly lower than age-matched healthy dogs at 11.61 ± 6.39 and 150.23 ± 98.2 pg/mL (p = 0.0048 and p = 0.001), respectively. Our findings suggest the dynamics of canine plasma amyloid concentrations are analogous to that found in aging humans with and without AD.
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References
Prpar Mihevc S, Majdic G (2019) Canine cognitive dysfunction and Alzheimer’s disease - two facets of the same disease? Front Neurosci 13:604
2020 Alzheimer’s disease facts and figures. Alzheimers Dement, 2020.
Wallis LJ, Szabó D, Erdélyi-Belle B, Kubinyi E (2018) Demographic change across the lifespan of pet dogs and their impact on health status. Front Vet Sci 5:200
Chapagain D, Range F, Huber L, Virányi Z (2018) Cognitive aging in dogs. Gerontology 64(2):165–171
Head E (2013) A canine model of human aging and Alzheimer’s disease. Biochim Biophys Acta 1832(9):1384–1389
Dewey CW, Davies ES, Xie H, Wakshlag JJ (2019) Canine cognitive dysfunction: pathophysiology, diagnosis, and treatment. Vet Clin North Am Small Anim Pract 49(3):477–499
Johnstone EM, Chaney MO, Norris FH, Pascual R, Little SP (1991) Conservation of the sequence of the Alzheimer’s disease amyloid peptide in dog, polar bear and five other mammals by cross-species polymerase chain reaction analysis. Brain Res Mol Brain Res 10(4):299–305
Head E, Callahan H, Muggenburg BA, Cotman CW, Milgram NW (1998) Visual-discrimination learning ability and beta-amyloid accumulation in the dog. Neurobiol Aging 19(5):415–425
Rofina JE, van Ederen AM, Toussaint MJM, Secrève M, van der Spek A, van der Meer I, van Eerdenburg FJCM, Gruys E (2006) Cognitive disturbances in old dogs suffering from the canine counterpart of Alzheimer’s disease. Brain Res 1069(1):216–226
Colle MA et al (2000) Vascular and parenchymal Abeta deposition in the aging dog: correlation with behavior. Neurobiol Aging 21(5):695–704
Cummings BJ, Head E, Afagh AJ, Milgram NW, Cotman CW (1996) Beta-amyloid accumulation correlates with cognitive dysfunction in the aged canine. Neurobiol Learn Mem 66(1):11–23
Mormino EC, Papp KV (2018) Amyloid accumulation and cognitive decline in clinically normal older individuals: implications for aging and early Alzheimer’s disease. J Alzheimers Dis 64(s1):S633–S646
Lewczuk P, Matzen A, Blennow K, Parnetti L, Molinuevo JL, Eusebi P, Kornhuber J, Morris JC et al (2017) Cerebrospinal fluid Abeta42/40 corresponds better than Abeta42 to amyloid PET in Alzheimer’s disease. J Alzheimers Dis 55(2):813–822
Fagan AM, Mintun MA, Mach RH, Lee SY, Dence CS, Shah AR, LaRossa GN, Spinner ML et al (2006) Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans. Ann Neurol 59(3):512–519
Head E, Pop V, Sarsoza F, Kayed R, Beckett TL, Studzinski CM, Tomic JL, Glabe CG et al (2010) Amyloid-beta peptide and oligomers in the brain and cerebrospinal fluid of aged canines. J Alzheimers Dis 20(2):637–646
Borghys H, van Broeck B, Dhuyvetter D, Jacobs T, de Waepenaert K, Erkens T, Brooks M, Thevarkunnel S et al (2017) Young to middle-aged dogs with high amyloid-beta levels in cerebrospinal fluid are impaired on learning in standard cognition tests. J Alzheimers Dis 56(2):763–774
O’Bryant SE et al (2017) Blood-based biomarkers in Alzheimer disease: current state of the science and a novel collaborative paradigm for advancing from discovery to clinic. Alzheimers Dement 13(1):45–58
Li D, Mielke MM (2019) An update on blood-based markers of Alzheimer’s disease using the SiMoA platform. Neurol Ther 8(Suppl 2):73–82
de Wolf F, Ghanbari M, Licher S, McRae-McKee K, Gras L, Weverling GJ, Wermeling P, Sedaghat S et al (2020) Plasma tau, neurofilament light chain and amyloid-beta levels and risk of dementia; a population-based cohort study. Brain 143(4):1220–1232
Panek WK, Gruen ME, Murdoch DM, Marek RD, Stachel AF, Mowat FM, Saker KE, Olby NJ (2020) Plasma neurofilament light chain as a translational biomarker of aging and neurodegeneration in dogs. Mol Neurobiol 57(7):3143–3149
Bartges J, Boynton B, Vogt AH, Krauter E, Lambrecht K, Svec R, Thompson S (2012) AAHA canine life stage guidelines. J Am Anim Hosp Assoc 48(1):1–11
Aladar Madari JF (2015) Stanislav Katina, Tomas Smolekc, Petr Novakc, and M.N. Tatiana Weissovaa, Norbert Zilka, Assessment of severity and progression of canine cognitive dysfunction syndrome using the CAnine DEmentia Scale (CADES). Appl Anim Behav Sci 171:138–145
Schutt T et al (2016) Dogs with Cognitive dysfunction as a spontaneous model for early Alzheimer’s disease: a translational study of neuropathological and inflammatory markers. J Alzheimers Dis 52(2):433–449
Pugliese M, Mascort J, Mahy N, Ferrer I (2006) Diffuse beta-amyloid plaques and hyperphosphorylated tau are unrelated processes in aged dogs with behavioral deficits. Acta Neuropathol 112(2):175–183
Iqbal K, Liu F, Gong CX, Grundke-Iqbal I (2010) Tau in Alzheimer disease and related tauopathies. Curr Alzheimer Res 7(8):656–664
Yu CH, Song GS, Yhee JY, Kim JH, Im KS, Nho WG, Lee JH, Sur JH (2011) Histopathological and immunohistochemical comparison of the brain of human patients with Alzheimer’s disease and the brain of aged dogs with cognitive dysfunction. J Comp Pathol 145(1):45–58
Kontsekova E, Zilka N, Kovacech B, Novak P, Novak M (2014) First-in-man tau vaccine targeting structural determinants essential for pathological tau-tau interaction reduces tau oligomerisation and neurofibrillary degeneration in an Alzheimer’s disease model. Alzheimers Res Ther 6(4):44
Smolek T, Madari A, Farbakova J, Kandrac O, Jadhav S, Cente M, Brezovakova V, Novak M et al (2016) Tau hyperphosphorylation in synaptosomes and neuroinflammation are associated with canine cognitive impairment. J Comp Neurol 524(4):874–895
Thambisetty M, Lovestone S (2010) Blood-based biomarkers of Alzheimer’s disease: challenging but feasible. Biomark Med 4(1):65–79
Chow VW, Mattson MP, Wong PC, Gleichmann M (2010) An overview of APP processing enzymes and products. NeuroMolecular Med 12(1):1–12
Selkoe DJ (2001) Alzheimer’s disease: genes, proteins, and therapy. Physiol Rev 81(2):741–766
Head E, McCleary R, Hahn FF, Milgram NW, Cotman CW (2000) Region-specific age at onset of beta-amyloid in dogs. Neurobiol Aging 21(1):89–96
Shoji M, Matsubara E, Kanai M, Watanabe M, Nakamura T, Tomidokoro Y, Shizuka M, Wakabayashi K et al (1998) Combination assay of CSF tau, A beta 1-40 and A beta 1-42(43) as a biochemical marker of Alzheimer’s disease. J Neurol Sci 158(2):134–140
Lewczuk P, Esselmann H, Otto M, Maler JM, Henkel AW, Henkel MK, Eikenberg O, Antz C et al (2004) Neurochemical diagnosis of Alzheimer’s dementia by CSF Abeta42, Abeta42/Abeta40 ratio and total tau. Neurobiol Aging 25(3):273–281
Muller EG et al (2019) Amyloid-beta PET-correlation with cerebrospinal fluid biomarkers and prediction of Alzheimer’s disease diagnosis in a memory clinic. PLoS One 14(8):e0221365
Yun T, Lee W, Kang JH, Yang MP, Kang BT (2020) Temporal and anatomical distribution of (18)F-flutemetamol uptake in canine brain using positron emission tomography. BMC Vet Res 16(1):17
Buchhave P, Minthon L, Zetterberg H, Wallin AK, Blennow K, Hansson O (2012) Cerebrospinal fluid levels of beta-amyloid 1-42, but not of tau, are fully changed already 5 to 10 years before the onset of Alzheimer dementia. Arch Gen Psychiatry 69(1):98–106
Strazielle N, Ghersi-Egea JF (2016) Potential pathways for CNS drug delivery across the blood-cerebrospinal fluid barrier. Curr Pharm Des 22(35):5463–5476
Gonzalez-Martinez A et al (2011) Plasma beta-amyloid peptides in canine aging and cognitive dysfunction as a model of Alzheimer’s disease. Exp Gerontol 46(7):590–596
Salvin HE, McGreevy PD, Sachdev PS, Valenzuela MJ (2011) The canine cognitive dysfunction rating scale (CCDR): a data-driven and ecologically relevant assessment tool. Vet J 188(3):331–336
Acknowledgments
We would like to acknowledge Quanterix company representatives for technical support. We want to thank dogs and their owners for taking part in the study.
Funding
This work is supported by the Dr. Kady M Gjessing and Rhanna M Davidson Distinguished Chair of Gerontology. F.M.M. is funded by NIH/NEI K08 EY028628.
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W.K.P. and N J.O. conceived and designed the study, analyzed data, and wrote the manuscript. W.K.P performed experiments. W.K.P and R.D.D performed sample processing and testing. N.J.O., D.M. M., M.E. G, and F.M. M and provided critical feedback and oversaw the research program. All authors listed reviewed the manuscript and provided feedback with revisions.
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ESM 1
The CADES score used to classify dogs as normal (0-7), mild (8-23), moderate (24-44) or severe (45-95) cognitive dysfunction. Seventeen items, distributed into four domains associated with behavioral changes (spatial orientation, social interactions, sleep-wake cycles and house soiling) were assessed. (TIF 1.98 mb)
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Panek, W.K., Murdoch, D.M., Gruen, M.E. et al. Plasma Amyloid Beta Concentrations in Aged and Cognitively Impaired Pet Dogs. Mol Neurobiol 58, 483–489 (2021). https://doi.org/10.1007/s12035-020-02140-9
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DOI: https://doi.org/10.1007/s12035-020-02140-9