Inflammatory plasma biomarkers in subjects with preclinical Alzheimer’s disease

Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer’s disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjec...

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Published inAlzheimer's research & therapy Vol. 14; no. 1; pp. 106 - 9
Main Authors Prins, Samantha, de Kam, Marieke L., Teunissen, Charlotte E., Groeneveld, Geert Jan
Format Journal Article
LanguageEnglish
Published London BioMed Central 03.08.2022
BioMed Central Ltd
BMC
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ISSN1758-9193
1758-9193
DOI10.1186/s13195-022-01051-2

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Abstract Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer’s disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs. Methods Healthy elderly ( n = 50; age 71.9; MMSE >24) and subjects with preclinical AD ( n =50; age 73.4; MMSE >24) defined by CSF Aβ1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE ε4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the Aβ+/Aβ− cutoff and Ptau/Aβ1-42 ratio. Results The mean (standard deviation, SD) age of the subjects ( n =100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE ε4 carriers. The number of subjects in the different APOE ε4 status categories differed significantly between the Aβ+ and Aβ− groups. Plasma GFAP concentration was significantly higher in the Aβ+ group compared to the Aβ− group with significant covariates age and sex, variables that also correlated significantly with GFAP. Conclusion GFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/Aβ1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the Aβ misfolding and aggregation that is ongoing as indicated by the lowered Aβ1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials. Trial registration ISRCTN.org identifier: ISRCTN79036545 (retrospectively registered).
AbstractList This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer's disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs. Healthy elderly (n= 50; age 71.9; MMSE >24) and subjects with preclinical AD (n=50; age 73.4; MMSE >24) defined by CSF Aβ1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE ε4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the Aβ+/Aβ- cutoff and Ptau/Aβ1-42 ratio. The mean (standard deviation, SD) age of the subjects (n=100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE ε4 carriers. The number of subjects in the different APOE ε4 status categories differed significantly between the Aβ+ and Aβ- groups. Plasma GFAP concentration was significantly higher in the Aβ+ group compared to the Aβ- group with significant covariates age and sex, variables that also correlated significantly with GFAP. GFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/Aβ1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the Aβ misfolding and aggregation that is ongoing as indicated by the lowered Aβ1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials. ISRCTN.org identifier: ISRCTN79036545 (retrospectively registered).
Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer’s disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs. Methods Healthy elderly (n= 50; age 71.9; MMSE >24) and subjects with preclinical AD (n=50; age 73.4; MMSE >24) defined by CSF Aβ1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE ε4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the Aβ+/Aβ− cutoff and Ptau/Aβ1-42 ratio. Results The mean (standard deviation, SD) age of the subjects (n=100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE ε4 carriers. The number of subjects in the different APOE ε4 status categories differed significantly between the Aβ+ and Aβ− groups. Plasma GFAP concentration was significantly higher in the Aβ+ group compared to the Aβ− group with significant covariates age and sex, variables that also correlated significantly with GFAP. Conclusion GFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/Aβ1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the Aβ misfolding and aggregation that is ongoing as indicated by the lowered Aβ1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials. Trial registration ISRCTN.org identifier: ISRCTN79036545 (retrospectively registered).
Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer’s disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs. Methods Healthy elderly ( n = 50; age 71.9; MMSE >24) and subjects with preclinical AD ( n =50; age 73.4; MMSE >24) defined by CSF Aβ1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE ε4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the Aβ+/Aβ− cutoff and Ptau/Aβ1-42 ratio. Results The mean (standard deviation, SD) age of the subjects ( n =100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE ε4 carriers. The number of subjects in the different APOE ε4 status categories differed significantly between the Aβ+ and Aβ− groups. Plasma GFAP concentration was significantly higher in the Aβ+ group compared to the Aβ− group with significant covariates age and sex, variables that also correlated significantly with GFAP. Conclusion GFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/Aβ1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the Aβ misfolding and aggregation that is ongoing as indicated by the lowered Aβ1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials. Trial registration ISRCTN.org identifier: ISRCTN79036545 (retrospectively registered).
Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer's disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs. Methods Healthy elderly (n= 50; age 71.9; MMSE >24) and subjects with preclinical AD (n=50; age 73.4; MMSE >24) defined by CSF A[beta]1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE [epsilon]4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the A[beta]+/A[beta]- cutoff and Ptau/A[beta]1-42 ratio. Results The mean (standard deviation, SD) age of the subjects (n=100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE [epsilon]4 carriers. The number of subjects in the different APOE [epsilon]4 status categories differed significantly between the A[beta]+ and A[beta]- groups. Plasma GFAP concentration was significantly higher in the A[beta]+ group compared to the A[beta]- group with significant covariates age and sex, variables that also correlated significantly with GFAP. Conclusion GFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/A[beta]1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the A[beta] misfolding and aggregation that is ongoing as indicated by the lowered A[beta]1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials. Trial registration ISRCTN.org identifier: ISRCTN79036545 (retrospectively registered). Keywords: Preclinical Alzheimer's disease, Neuroinflammation, GFAP, YKL-40, MCP-1, Eotaxin-1
Abstract Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer’s disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs. Methods Healthy elderly (n= 50; age 71.9; MMSE >24) and subjects with preclinical AD (n=50; age 73.4; MMSE >24) defined by CSF Aβ1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE ε4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the Aβ+/Aβ− cutoff and Ptau/Aβ1-42 ratio. Results The mean (standard deviation, SD) age of the subjects (n=100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE ε4 carriers. The number of subjects in the different APOE ε4 status categories differed significantly between the Aβ+ and Aβ− groups. Plasma GFAP concentration was significantly higher in the Aβ+ group compared to the Aβ− group with significant covariates age and sex, variables that also correlated significantly with GFAP. Conclusion GFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/Aβ1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the Aβ misfolding and aggregation that is ongoing as indicated by the lowered Aβ1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials. Trial registration ISRCTN.org identifier: ISRCTN79036545 (retrospectively registered).
This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer's disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs.BACKGROUNDThis study investigated plasma biomarkers for neuroinflammation associated with Alzheimer's disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs.Healthy elderly (n= 50; age 71.9; MMSE >24) and subjects with preclinical AD (n=50; age 73.4; MMSE >24) defined by CSF Aβ1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE ε4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the Aβ+/Aβ- cutoff and Ptau/Aβ1-42 ratio.METHODSHealthy elderly (n= 50; age 71.9; MMSE >24) and subjects with preclinical AD (n=50; age 73.4; MMSE >24) defined by CSF Aβ1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE ε4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the Aβ+/Aβ- cutoff and Ptau/Aβ1-42 ratio.The mean (standard deviation, SD) age of the subjects (n=100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE ε4 carriers. The number of subjects in the different APOE ε4 status categories differed significantly between the Aβ+ and Aβ- groups. Plasma GFAP concentration was significantly higher in the Aβ+ group compared to the Aβ- group with significant covariates age and sex, variables that also correlated significantly with GFAP.RESULTSThe mean (standard deviation, SD) age of the subjects (n=100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE ε4 carriers. The number of subjects in the different APOE ε4 status categories differed significantly between the Aβ+ and Aβ- groups. Plasma GFAP concentration was significantly higher in the Aβ+ group compared to the Aβ- group with significant covariates age and sex, variables that also correlated significantly with GFAP.GFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/Aβ1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the Aβ misfolding and aggregation that is ongoing as indicated by the lowered Aβ1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials.CONCLUSIONGFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/Aβ1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the Aβ misfolding and aggregation that is ongoing as indicated by the lowered Aβ1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials.ISRCTN.org identifier: ISRCTN79036545 (retrospectively registered).TRIAL REGISTRATIONISRCTN.org identifier: ISRCTN79036545 (retrospectively registered).
This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer's disease (AD) in subjects with preclinical AD compared to healthy elderly. How these biomarkers behave in patients with AD, compared to healthy elderly is well known, but determining these in subjects with preclinical AD is not and will add information related to the onset of AD. When found to be different in preclinical AD, these inflammatory biomarkers may be used to select preclinical AD subjects who are most likely to develop AD, to participate in clinical trials with new disease-modifying drugs. Healthy elderly (n= 50; age 71.9; MMSE >24) and subjects with preclinical AD (n=50; age 73.4; MMSE >24) defined by CSF A[beta]1-42 levels < 1000 pg/mL were included. Four neuroinflammatory biomarkers were determined in plasma, GFAP, YKL-40, MCP-1, and eotaxin-1. Differences in biomarker outcomes were compared using ANCOVA. Subject characteristics age, gender, and APOE [epsilon]4 status were reported per group and were covariates in the ANCOVA. Least square means were calculated for all 4 inflammatory biomarkers using both the A[beta]+/A[beta]- cutoff and Ptau/A[beta]1-42 ratio. The mean (standard deviation, SD) age of the subjects (n=100) was 72.6 (4.6) years old with 62 male and 38 female subjects. Mean (SD) overall MMSE score was 28.7 (0.49) and 32 subjects were APOE [epsilon]4 carriers. The number of subjects in the different APOE [epsilon]4 status categories differed significantly between the A[beta]+ and A[beta]- groups. Plasma GFAP concentration was significantly higher in the A[beta]+ group compared to the A[beta]- group with significant covariates age and sex, variables that also correlated significantly with GFAP. GFAP was significantly higher in subjects with preclinical AD compared to healthy elderly which agrees with previous studies. When defining preclinical AD based on the Ptau181/A[beta]1-42 ratio, YKL-40 was also significantly different between groups. This could indicate that GFAP and YKL-40 are more sensitive markers of the inflammatory process in response to the A[beta] misfolding and aggregation that is ongoing as indicated by the lowered A[beta]1-42 levels in the CSF. Characterizing subjects with preclinical AD using neuroinflammatory biomarkers is important for subject selection in new disease-modifying clinical trials.
ArticleNumber 106
Audience Academic
Author de Kam, Marieke L.
Prins, Samantha
Teunissen, Charlotte E.
Groeneveld, Geert Jan
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  givenname: Marieke L.
  surname: de Kam
  fullname: de Kam, Marieke L.
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  givenname: Charlotte E.
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  givenname: Geert Jan
  surname: Groeneveld
  fullname: Groeneveld, Geert Jan
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  organization: Centre for Human Drug Research, Leiden University Medical Center
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35922871$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1111/joim.12816
10.1002/dad2.12190
10.1186/s12929-019-0609-7
10.1038/s41598-019-54204-z
10.1016/j.dadm.2016.05.004
10.1016/j.neurobiolaging.2020.07.009
10.1001/jama.2015.4668
10.1093/brain/awab223
10.1016/j.jcrc.2019.04.018
10.3233/JAD-180325
10.1016/S1474-4422(16)00070-3
10.1001/jamainternmed.2021.4607
10.3389/fnagi.2020.00272
10.1016/S1474-4422(15)70016-5
10.1038/s41398-020-01137-1
10.1016/j.jalz.2019.03.007
10.1016/S2666-7568(20)30061-1
10.1186/s13195-015-0161-y
10.1186/s13195-021-00874-9
10.1038/84298
10.1186/s12974-019-1531-3
10.1080/00365540110080233
10.1038/s41380-020-0721-9
10.1016/j.advms.2014.11.002
10.1007/s10072-020-04468-5
10.1177/1352458518819380
10.1373/jalm.2019.030080
10.1111/j.1440-1819.1998.tb02706.x
10.1002/dad2.12182
10.1080/14789450.2017.1304217
10.1016/B978-0-12-805364-5.00015-9
10.3233/JAD-2009-1075
10.1212/WNL.0b013e3181c47cc2
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Issue 1
Keywords Neuroinflammation
MCP-1
Eotaxin-1
YKL-40
Preclinical Alzheimer’s disease
GFAP
Language English
License 2022. The Author(s).
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References EAJ Willemse (1051_CR23) 2021; 13
CE Teunissen (1051_CR26) 2009; 73
S Prins (1051_CR21) 2021; 13
1051_CR28
1051_CR27
IMW Verberk (1051_CR18) 2021; 2
S Jesse (1051_CR17) 2009; 17
H Högel (1051_CR32) 2020; 26
P Oeckl (1051_CR14) 2019; 67
MR Campbell (1051_CR25) 2021; 13
A Vergallo (1051_CR31) 2020; 96
P Lewczuk (1051_CR22) 2015; 60
F Muramori (1051_CR16) 1998; 52
K Blennow (1051_CR24) 2019; 9
LK Huang (1051_CR6) 2020; 27
B Olsson (1051_CR5) 2016; 15
H Zetterberg (1051_CR2) 2021; 26
K Blennow (1051_CR1) 2018; 284
CR Mackay (1051_CR20) 2001; 2
F Baldacci (1051_CR30) 2017; 14
K Hellwig (1051_CR29) 2015; 7
BM Bettcher (1051_CR11) 2016; 3
B Dunn (1051_CR7) 2021; 181
A Villar-Pique (1051_CR15) 2019; 16
MM Budelier (1051_CR3) 2019; 5
MT Heneka (1051_CR10) 2015; 14
1051_CR9
1051_CR4
D Haas (1051_CR12) 2018
L Wu (1051_CR33) 2019; 52
AR Morgan (1051_CR13) 2019; 15
WJ Jansen (1051_CR8) 2015; 313
G Kronborg (1051_CR34) 2002; 34
P Chatterjee (1051_CR19) 2021; 11
References_xml – volume: 284
  start-page: 643
  issue: 6
  year: 2018
  ident: 1051_CR1
  publication-title: J Intern Med
  doi: 10.1111/joim.12816
– volume: 13
  start-page: e12190
  issue: 1
  year: 2021
  ident: 1051_CR25
  publication-title: Alzheimers Dement (Amst)
  doi: 10.1002/dad2.12190
– volume: 27
  start-page: 18
  issue: 1
  year: 2020
  ident: 1051_CR6
  publication-title: J Biomed Sci
  doi: 10.1186/s12929-019-0609-7
– volume: 9
  start-page: 19024
  issue: 1
  year: 2019
  ident: 1051_CR24
  publication-title: Sci Rep
  doi: 10.1038/s41598-019-54204-z
– volume: 3
  start-page: 91
  year: 2016
  ident: 1051_CR11
  publication-title: Alzheimers Dement (Amst)
  doi: 10.1016/j.dadm.2016.05.004
– volume: 96
  start-page: 22
  year: 2020
  ident: 1051_CR31
  publication-title: Neurobiol Aging
  doi: 10.1016/j.neurobiolaging.2020.07.009
– volume: 313
  start-page: 1924
  issue: 19
  year: 2015
  ident: 1051_CR8
  publication-title: JAMA
  doi: 10.1001/jama.2015.4668
– ident: 1051_CR28
  doi: 10.1093/brain/awab223
– volume: 52
  start-page: 172
  year: 2019
  ident: 1051_CR33
  publication-title: J Crit Care
  doi: 10.1016/j.jcrc.2019.04.018
– volume: 67
  start-page: 481
  issue: 2
  year: 2019
  ident: 1051_CR14
  publication-title: J Alzheimers Dis
  doi: 10.3233/JAD-180325
– volume: 15
  start-page: 673
  issue: 7
  year: 2016
  ident: 1051_CR5
  publication-title: Lancet Neurol
  doi: 10.1016/S1474-4422(16)00070-3
– volume: 181
  start-page: 1276
  issue: 10
  year: 2021
  ident: 1051_CR7
  publication-title: JAMA Intern Med
  doi: 10.1001/jamainternmed.2021.4607
– ident: 1051_CR4
  doi: 10.3389/fnagi.2020.00272
– volume: 14
  start-page: 388
  issue: 4
  year: 2015
  ident: 1051_CR10
  publication-title: Lancet Neurol
  doi: 10.1016/S1474-4422(15)70016-5
– volume: 11
  start-page: 27
  issue: 1
  year: 2021
  ident: 1051_CR19
  publication-title: Transl Psychiatry
  doi: 10.1038/s41398-020-01137-1
– volume: 15
  start-page: 776
  issue: 6
  year: 2019
  ident: 1051_CR13
  publication-title: Alzheimers Dement
  doi: 10.1016/j.jalz.2019.03.007
– volume: 2
  start-page: e87
  issue: 2
  year: 2021
  ident: 1051_CR18
  publication-title: Lancet Healthy Longevity
  doi: 10.1016/S2666-7568(20)30061-1
– volume: 7
  start-page: 74
  year: 2015
  ident: 1051_CR29
  publication-title: Alzheimers Res Ther
  doi: 10.1186/s13195-015-0161-y
– volume: 13
  start-page: 132
  issue: 1
  year: 2021
  ident: 1051_CR21
  publication-title: Alzheimers Res Ther
  doi: 10.1186/s13195-021-00874-9
– ident: 1051_CR27
– volume: 2
  start-page: 95
  issue: 2
  year: 2001
  ident: 1051_CR20
  publication-title: Nat Immunol
  doi: 10.1038/84298
– volume: 16
  start-page: 145
  issue: 1
  year: 2019
  ident: 1051_CR15
  publication-title: J Neuroinflammation
  doi: 10.1186/s12974-019-1531-3
– volume: 34
  start-page: 323
  issue: 5
  year: 2002
  ident: 1051_CR34
  publication-title: Scand J Infect Dis
  doi: 10.1080/00365540110080233
– volume: 26
  start-page: 296
  issue: 1
  year: 2021
  ident: 1051_CR2
  publication-title: Mol Psychiatry
  doi: 10.1038/s41380-020-0721-9
– volume: 60
  start-page: 76
  issue: 1
  year: 2015
  ident: 1051_CR22
  publication-title: Adv Med Sci
  doi: 10.1016/j.advms.2014.11.002
– ident: 1051_CR9
  doi: 10.1007/s10072-020-04468-5
– volume: 26
  start-page: 210
  issue: 2
  year: 2020
  ident: 1051_CR32
  publication-title: Mult Scler
  doi: 10.1177/1352458518819380
– volume: 5
  start-page: 194
  issue: 1
  year: 2019
  ident: 1051_CR3
  publication-title: J Appl Lab Med
  doi: 10.1373/jalm.2019.030080
– volume: 52
  start-page: 593
  issue: 6
  year: 1998
  ident: 1051_CR16
  publication-title: Psychiatry Clin Neurosci
  doi: 10.1111/j.1440-1819.1998.tb02706.x
– volume: 13
  start-page: e12182
  issue: 1
  year: 2021
  ident: 1051_CR23
  publication-title: Alzheimer's Dement (Amsterdam, Netherlands)
  doi: 10.1002/dad2.12182
– volume: 14
  start-page: 285
  issue: 4
  year: 2017
  ident: 1051_CR30
  publication-title: Expert Rev Proteom
  doi: 10.1080/14789450.2017.1304217
– start-page: 333
  volume-title: Precision medicine
  year: 2018
  ident: 1051_CR12
  doi: 10.1016/B978-0-12-805364-5.00015-9
– volume: 17
  start-page: 541
  issue: 3
  year: 2009
  ident: 1051_CR17
  publication-title: J Alzheimers Dis
  doi: 10.3233/JAD-2009-1075
– volume: 73
  start-page: 1914
  issue: 22
  year: 2009
  ident: 1051_CR26
  publication-title: Neurology
  doi: 10.1212/WNL.0b013e3181c47cc2
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Snippet Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer’s disease (AD) in subjects with preclinical AD compared to...
This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer's disease (AD) in subjects with preclinical AD compared to healthy...
Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer's disease (AD) in subjects with preclinical AD compared to...
Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer’s disease (AD) in subjects with preclinical AD compared to...
Abstract Background This study investigated plasma biomarkers for neuroinflammation associated with Alzheimer’s disease (AD) in subjects with preclinical AD...
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SubjectTerms Aged
Alzheimer Disease - diagnosis
Alzheimer's disease
Amyloid beta-Peptides
Apolipoprotein E4
Apolipoproteins
Automation
Biological markers
Biomarkers
Biomedical and Life Sciences
Biomedicine
Blood plasma
Cerebrospinal fluid
Chemokines
Chitinase
Chitinase-3-Like Protein 1
Clinical trials
Comparative analysis
Dementia
Development and progression
Diagnosis
Diagnostic tests
Eotaxin-1
Female
Geriatric Psychiatry
Geriatrics/Gerontology
GFAP
Health aspects
Humans
Immune system
Male
MCP-1
Nervous system
Neurochemistry
Neurodegeneration
Neuroinflammation
Neurology
Neurosciences
Peptide Fragments
Plasma
Preclinical Alzheimer’s disease
Prevention
Proteins
tau Proteins
YKL-40
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Title Inflammatory plasma biomarkers in subjects with preclinical Alzheimer’s disease
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