TY - JOUR
T1 - Predictive blood biomarkers and brain changes associated with age-related cognitive decline
AU - Saunders, Tyler
AU - Pozzolo, Francesca E
AU - Heslegrave, Amanda
AU - King, Declan
AU - McGeachan, Robert
AU - Spires-Jones, Maxwell P
AU - Harris, Sarah E
AU - Ritchie, Craig
AU - Terrera, GM
AU - Deary, Ian J
AU - Cox, Simon R.
AU - Zetterberg, Henrik
AU - Spires-Jones, Tara
N1 - Funding Information:
We thank the International Genomics of Alzheimer’s Project (IGAP) for providing summary results data for these analyses. The investigators within IGAP contributed to the design and implementation of IGAP and/or provided data but did not participate in analysis or writing of this report. IGAP was made possible by the generous participation of the control subjects, the patients and their families. The i–Select chips was funded by the French National Foundation on Alzheimer’s disease and related disorders. EADI was supported by the LABEX (laboratory of excellence program investment for the future) DISTALZ grant, Inserm, Institut Pasteur de Lille, Université de Lille 2 and the Lille University Hospital. GERAD/PERADES was supported by the Medical Research Council (Grant no 503480), Alzheimer’s Research UK (grant no 503176), the Wellcome Trust (grant no 082604/2/07/Z) and German Federal Ministry of Education and Research (BMBF): Competence Network Dementia (CND) grant no 01GI0102, 01GI0711, 01GI0420. CHARGE was partly supported by the NIH/NIA grant R01 AG033193 and the NIA AG081220 and AGES contract N01–AG–12100, the NHLBI grant R01 HL105756, the Icelandic Heart Association, and the Erasmus Medical Center and Erasmus University. ADGC was supported by the NIH/NIA grants: U01 AG032984, U24 AG021886, U01 AG016976 and the Alzheimer’s Association grant ADGC–10–196728. T.S. is supported by funding from the Wellcome Trust 4-year PhD in Translational Neuroscience [108890/Z/15/Z]. C.R. is funded by the Innovative Medicines Initiative 115736 (EPAD). H.Z. is a Wallenberg Scholar supported by grants from the Swedish Research Council (#2018-02532), the European Research Council (#681712), Swedish State Support for Clinical Research (#ALFGBG-720931), the Alzheimer Drug Discovery Foundation (ADDF), USA (#201809-2016862), the Alzheimer’s Disease Strategic Fund and the Alzheimer’s Association (#ADSF-21-831376-C, #ADSF-21-831381-C and #ADSF-21-831377-C), the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden (#FO2019-0228), the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860197 (MIRIADE), and the UK Dementia Research Institute at UCL. T.S.-J. is funded by the UK Dementia Research Institute, which receives its funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society, and Alzheimer’s Research UK, and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 681181. The LBC1936 is supported by the Biotechnology and Biological Sciences Research Council, and the Economic and Social Research Council [BB/W008793/1] (which supports S.E.H.), Age UK (Disconnected Mind project), the Medical Research Council (G0701120, G1001245, MR/M013111/1, MR/R024065/1), the US National Institutes of Health (R01AG054628), and the University of Edinburgh. S.R.C. is supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust, the Royal Society (grant number 221890/Z/20/Z).
Funding Information:
We thank the International Genomics of Alzheimer's Project (IGAP) for providing summary results data for these analyses. The investigators within IGAP contributed to the design and implementation of IGAP and/or provided data but did not participate in analysis or writing of this report. IGAP was made possible by the generous participation of the control subjects, the patients and their families. The i–Select chips was funded by the French National Foundation on Alzheimer’s disease and related disorders. EADI was supported by the LABEX (laboratory of excellence program investment for the future) DISTALZ grant, Inserm, Institut Pasteur de Lille, Université de Lille 2 and the Lille University Hospital. GERAD/PERADES was supported by the Medical Research Council (Grant no 503480), Alzheimer's Research UK (grant no 503176), the Wellcome Trust (grant no 082604/2/07/Z) and German Federal Ministry of Education and Research (BMBF): Competence Network Dementia (CND) grant no 01GI0102, 01GI0711, 01GI0420. CHARGE was partly supported by the NIH/NIA grant R01 AG033193 and the NIA AG081220 and AGES contract N01–AG–12100, the NHLBI grant R01 HL105756, the Icelandic Heart Association, and the Erasmus Medical Center and Erasmus University. ADGC was supported by the NIH/NIA grants: U01 AG032984, U24 AG021886, U01 AG016976 and the Alzheimer’s Association grant ADGC–10–196728.
Funding Information:
T.S. is supported by funding from the Wellcome Trust 4-year PhD in Translational Neuroscience [108890/Z/15/Z]. C.R. is funded by the Innovative Medicines Initiative 115736 (EPAD). H.Z. is a Wallenberg Scholar supported by grants from the Swedish Research Council (#2018-02532), the European Research Council (#681712), Swedish State Support for Clinical Research (#ALFGBG-720931), the Alzheimer Drug Discovery Foundation (ADDF), USA (#201809-2016862), the Alzheimer's Disease Strategic Fund and the Alzheimer’s Association (#ADSF-21-831376-C, #ADSF-21-831381-C and #ADSF-21-831377-C), the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden (#FO2019-0228), the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860197 (MIRIADE), and the UK Dementia Research Institute at UCL. T.S.-J. is funded by the UK Dementia Research Institute, which receives its funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society, and Alzheimer’s Research UK, and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 681181. The LBC1936 is supported by the Biotechnology and Biological Sciences Research Council, and the Economic and Social Research Council [BB/W008793/1] (which supports S.E.H.), Age UK (Disconnected Mind project), the Medical Research Council (G0701120, G1001245, MR/M013111/1, MR/R024065/1), the US National Institutes of Health (R01AG054628), and the University of Edinburgh. S.R.C. is supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust, the Royal Society (grant number 221890/Z/20/Z).
Publisher Copyright:
© The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain.
PY - 2023/4/6
Y1 - 2023/4/6
N2 - Growing evidence supports the use of plasma levels of tau phosphorylated at threonine 181 (p-tau181), amyloid-β, neurofilament light (NfL), and glial fibrillary acidic protein (GFAP) as promising biomarkers for Alzheimer’s disease. While these blood biomarkers are promising for distinguishing people with Alzheimer’s disease from healthy controls, their predictive validity for age-related cognitive decline without dementia remains unclear. Further, while p-tau181 is a promising biomarker, the distribution of this phospho-epitope of tau in the brain is unknown. Here, we tested whether plasma levels of p-tau181, amyloid-β, NfL, and GFAP predict cognitive decline between ages 72 and 82 in 195 participants in the Lothian Birth Cohorts 1936 study of cognitive ageing. We further examined post-mortem brain samples from temporal cortex to determine the distribution of p-tau181 in the brain. Several forms of p-tau have been shown to contribute to synapse degeneration in Alzheimer’s disease, which correlates closely with cognitive decline in this form of dementia, but to date there have not been investigations of whether p-tau181 is found in synapses in Alzheimer’s disease or healthy ageing brain. It was also previously unclear whether p-tau181 accumulated in dystrophic neurites around plaques which could contribute to tau leakage to the periphery due to impaired membrane integrity in dystrophies. Brain homogenate and biochemically enriched synaptic fractions were examined with western blot to examine p-tau181 levels between groups (n = 10-12 per group), and synaptic and astrocytic localisation of p-tau181 were examined using array tomography (n = 6-15 per group), and localisation of p-tau181 in plaque-associated dystrophic neurites with associated gliosis were examined with standard immunofluorescence (n = 8-9 per group).Elevated baseline plasma p-tau181, NfL, and GFAP predicted steeper general cognitive decline during ageing. Further, increasing p-tau181 over time predicted general cognitive decline in females only. Change in plasma p-tau181 remained a significant predictor of g factor decline when taking into account Alzheimer’s disease polygenic risk score, indicating the increase of blood p-tau181 in this cohort was not only due to incipient Alzheimer’s disease. P-tau181 was observed in synapses and astrocytes in both healthy ageing and Alzheimer’s disease brain. We observed that a significantly higher proportion of synapses contain p-tau181 in Alzheimer’s disease relative to aged controls. Aged controls with pre-morbid lifetime cognitive resilience had significantly more p-tau181 in GFAP-positive astrocytes than those with pre-morbid lifetime cognitive decline. Further, p-tau181 was found in dystrophic neurites around plaques and in some neurofibrillary tangles. The presence of p-tau181 in plaque-associated dystrophies may be a source of leakage of tau out of neurons that eventually enters the blood. Together, these data indicate that plasma p-tau181, NfL, and GFAP may be useful biomarkers of age-related cognitive decline, and that efficient clearance of p-tau181 by astrocytes may promote cognitive resilience.
AB - Growing evidence supports the use of plasma levels of tau phosphorylated at threonine 181 (p-tau181), amyloid-β, neurofilament light (NfL), and glial fibrillary acidic protein (GFAP) as promising biomarkers for Alzheimer’s disease. While these blood biomarkers are promising for distinguishing people with Alzheimer’s disease from healthy controls, their predictive validity for age-related cognitive decline without dementia remains unclear. Further, while p-tau181 is a promising biomarker, the distribution of this phospho-epitope of tau in the brain is unknown. Here, we tested whether plasma levels of p-tau181, amyloid-β, NfL, and GFAP predict cognitive decline between ages 72 and 82 in 195 participants in the Lothian Birth Cohorts 1936 study of cognitive ageing. We further examined post-mortem brain samples from temporal cortex to determine the distribution of p-tau181 in the brain. Several forms of p-tau have been shown to contribute to synapse degeneration in Alzheimer’s disease, which correlates closely with cognitive decline in this form of dementia, but to date there have not been investigations of whether p-tau181 is found in synapses in Alzheimer’s disease or healthy ageing brain. It was also previously unclear whether p-tau181 accumulated in dystrophic neurites around plaques which could contribute to tau leakage to the periphery due to impaired membrane integrity in dystrophies. Brain homogenate and biochemically enriched synaptic fractions were examined with western blot to examine p-tau181 levels between groups (n = 10-12 per group), and synaptic and astrocytic localisation of p-tau181 were examined using array tomography (n = 6-15 per group), and localisation of p-tau181 in plaque-associated dystrophic neurites with associated gliosis were examined with standard immunofluorescence (n = 8-9 per group).Elevated baseline plasma p-tau181, NfL, and GFAP predicted steeper general cognitive decline during ageing. Further, increasing p-tau181 over time predicted general cognitive decline in females only. Change in plasma p-tau181 remained a significant predictor of g factor decline when taking into account Alzheimer’s disease polygenic risk score, indicating the increase of blood p-tau181 in this cohort was not only due to incipient Alzheimer’s disease. P-tau181 was observed in synapses and astrocytes in both healthy ageing and Alzheimer’s disease brain. We observed that a significantly higher proportion of synapses contain p-tau181 in Alzheimer’s disease relative to aged controls. Aged controls with pre-morbid lifetime cognitive resilience had significantly more p-tau181 in GFAP-positive astrocytes than those with pre-morbid lifetime cognitive decline. Further, p-tau181 was found in dystrophic neurites around plaques and in some neurofibrillary tangles. The presence of p-tau181 in plaque-associated dystrophies may be a source of leakage of tau out of neurons that eventually enters the blood. Together, these data indicate that plasma p-tau181, NfL, and GFAP may be useful biomarkers of age-related cognitive decline, and that efficient clearance of p-tau181 by astrocytes may promote cognitive resilience.
U2 - 10.1093/braincomms/fcad113
DO - 10.1093/braincomms/fcad113
M3 - Article
JO - Brain Communications
JF - Brain Communications
ER -