Blood‐based protein predictors of dementia severity as measured by δ: Replication across biofluids and cohorts. Issue 1 (1st December 2019)
- Record Type:
- Journal Article
- Title:
- Blood‐based protein predictors of dementia severity as measured by δ: Replication across biofluids and cohorts. Issue 1 (1st December 2019)
- Main Title:
- Blood‐based protein predictors of dementia severity as measured by δ: Replication across biofluids and cohorts
- Authors:
- Royall, Donald R.
Bishnoi, Ram J.
Palmer, Raymond F.
Pavlik, Valory
Massman, Paul
Darby, Eveleen
Rodriguear, Monica
Ansari, Aisha Khaleeq
DeToledo, John C.
Reddy, Hemachandra
Wilms, Henrick
Johnson, Kim
Perez, Victoria
Fairchild, Thomas
Knebl, Janice
O'Bryant, Sid E.
Hall, James R.
Johnson, Leigh
Barber, Robert C.
Mains, Douglas
Alvarez, Lisa
Cullum, Munro
Rosenberg, Roger
Williams, Benjamin
Quiceno, Mary
Reisch, Joan
Hynan, Linda S.
Huebinger, Ryan
Smith, Janet
Nguyen, Trung
Royall, Donald
Palmer, Raymond
Polk, Marsha
Stevens, Alan
Ory, Marcia
Paydarfar, David
Bertelson, John
Woon, Martin
Ayres, Gayle
Aguirre, Alyssa
Wilhelmsen, Kirk C.
Tilson, Jeffrey L.
… (more) - Abstract:
- Abstract: Introduction: Dementia severity can be empirically described by the latent dementia phenotype "δ" and its various composite "homologs". We have explored δ's blood‐based protein biomarkers in the Texas Alzheimer's Research and Care Consortium (TARCC) study. However, it would be convenient to replicate those associations in the Alzheimer's Disease Neuroimaging Initiative (ADNI). To this end, we recently engineered a δ homolog from observed cognitive performance measures common to both projects (i.e., "dT2A"). Methods: We used nine rationally chosen peripheral blood‐based protein biomarkers as indicators of a latent variable "INFLAMMATION". We then associated that construct with dT2A in structural equation models adjusted for age, gender, depressive symptoms, and apolipoprotein E (APOE) ε4 allelic burden. Significant factor loadings and INFLAMMATION's association with dT2A were confirmed in random splits of TARCC's relatively large sample, and across biofluids in the ADNI. Results: Nine proteins measured in serum (TARCC) or plasma (ADNI) explained ≅10% of dT2A's variance in both samples, independently of age, APOE, education, and gender. All loaded significantly on INFLAMMATION, and positively or negatively, depending on their known roles are PRO‐ or ANTI‐inflammatory proteins, respectively. The parameters of interest were confirmed across random 50% splits of the TARCC's sample, and replicated across biofluids in the ADNI. Discussion: These results suggest that SEMAbstract: Introduction: Dementia severity can be empirically described by the latent dementia phenotype "δ" and its various composite "homologs". We have explored δ's blood‐based protein biomarkers in the Texas Alzheimer's Research and Care Consortium (TARCC) study. However, it would be convenient to replicate those associations in the Alzheimer's Disease Neuroimaging Initiative (ADNI). To this end, we recently engineered a δ homolog from observed cognitive performance measures common to both projects (i.e., "dT2A"). Methods: We used nine rationally chosen peripheral blood‐based protein biomarkers as indicators of a latent variable "INFLAMMATION". We then associated that construct with dT2A in structural equation models adjusted for age, gender, depressive symptoms, and apolipoprotein E (APOE) ε4 allelic burden. Significant factor loadings and INFLAMMATION's association with dT2A were confirmed in random splits of TARCC's relatively large sample, and across biofluids in the ADNI. Results: Nine proteins measured in serum (TARCC) or plasma (ADNI) explained ≅10% of dT2A's variance in both samples, independently of age, APOE, education, and gender. All loaded significantly on INFLAMMATION, and positively or negatively, depending on their known roles are PRO‐ or ANTI‐inflammatory proteins, respectively. The parameters of interest were confirmed across random 50% splits of the TARCC's sample, and replicated across biofluids in the ADNI. Discussion: These results suggest that SEM can be used to replicate biomarker findings across samples and biofluids, and that a substantial fraction of dementia's variance is attributable to peripheral blood‐based protein levels. … (more)
- Is Part Of:
- Alzheimer's & dementia. Volume 11:Issue 1(2019)
- Journal:
- Alzheimer's & dementia
- Issue:
- Volume 11:Issue 1(2019)
- Issue Display:
- Volume 11, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 11
- Issue:
- 1
- Issue Sort Value:
- 2019-0011-0001-0000
- Page Start:
- 763
- Page End:
- 774
- Publication Date:
- 2019-12-01
- Subjects:
- ADNI -- Aging -- Cognition -- Dementia -- g -- Intelligence -- TARCC
Alzheimer's disease -- Periodicals
Alzheimer's disease -- Diagnosis -- Periodicals
Dementia -- Periodicals
Dementia -- Diagnosis -- Periodicals
616.831 - Journal URLs:
- https://alz-journals.onlinelibrary.wiley.com/loi/23528729 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.dadm.2019.09.002 ↗
- Languages:
- English
- ISSNs:
- 2352-8729
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13528.xml