TY - JOUR
T1 - Relationships of PGRN with sTREM2 in AD continuum and non-AD pathophysiology and their reciprocal roles in modulating amyloid pathology
T2 - two population-based study
AU - For the Alzheimer’s Disease Neuroimaging Initiative
AU - Huang, Liang Yu
AU - Tan, Chen Chen
AU - Xu, Wei
AU - Tan, Lan
AU - Fernandez, Dariella
AU - Ong, Elise
AU - Stark, Samuel
AU - Catalinotto, Daniel
AU - Scherer, Kelly
AU - Au, Yiu Ho
AU - Nudelman, Kelly N.
AU - Faber, Kelley M.
AU - Reyes, Denise
AU - Ward, Chad
AU - Kantarci, Kejal
AU - Senjem, Matthew
AU - Gunter, Jeff
AU - Borowski, Bret
AU - Zmuda, Michelle
AU - Butters, Meryl
AU - Bickford, David
AU - Nelson, Craig
AU - Donohue, Mike
AU - Drake, Erin
AU - Jimenez-Maggiora, Gustavo
AU - Tinklenberg, Jared
AU - Rosen, Allyson
AU - Lane, Barton
AU - White, Jessica D.
AU - Coleman, Jaila
AU - Chao, Steven
AU - Taylor, Joy L.
AU - Yesavage, Jerome
AU - Li, Gail
AU - Petrie, Eric C.
AU - Peskind, Elaine R.
AU - Rosen, Howard
AU - Villena, Teresa
AU - Martinez, Walter
AU - Sadowsky, Carl
AU - Witbracht, Megan
AU - Sosa, Elizabeth
AU - Yanez, Beatriz
AU - Reist, Christopher
AU - Pierce, Aimee
AU - Thai, Gaby
AU - Martin, Kimberly S.
AU - Goldstein, Bonnie
AU - Rachinsky, Irina
AU - Greenberg, Jonathan
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - Progranulin (PGRN) and soluble triggering receptor expressed on myeloid cells-2 (sTREM2) are emerging biomarkers of Alzheimer’s disease (AD). This study explores the roles of their interplay in modulating amyloid pathology. We analyzed data from 905 participants (mean age = 62.0) in the CABLE cohort and 973 participants (mean age = 73.1) in the ADNI, classified using the A/T/N biomarker framework. One-way ANOVA was used to assess whether cerebrospinal fluid (CSF) PGRN and sTREM2 differed across biomarker profiles and clinical stages. Multiple linear regression models and linear mixed-effects models were used to test the relationships among PGRN, sTREM2, and CSF Aβ1–42 levels. Mediation analysis was used to explore the reciprocal relationships between sTREM2 and PGRN in influencing amyloid pathology. CSF proteomic and bioinformatic analyses were finally used to investigate the underlying biological mechanisms. In both cohorts, PGRN and sTREM2 were higher in individuals within the TN+ profile irrespective of the A status, and followed similar trajectory across different clinical and biomarker stage. CSF PGRN was associated with higher sTREM2 across AD continuum and non-AD pathophysiology. Bidirectional mediation was observed between PGRN (14.6% in CABLE, 15.6% in ADNI) and sTREM2 (29.7% in CABLE, 33.5% in ADNI) in modulating Aβ pathology (p < 0.0001). Proteomic analysis identified 1539 CSF proteins (Bonferroni-corrected p < 7.13 × 10−6) simultaneously associated with PGRN, sTREM2, and Aβ1–42. These proteins are mainly enriched in immune processes and neural plasticity. These findings suggest that the interplay between lysosome function and microglia-related neuroinflammation plays key roles in amyloid metabolism.
AB - Progranulin (PGRN) and soluble triggering receptor expressed on myeloid cells-2 (sTREM2) are emerging biomarkers of Alzheimer’s disease (AD). This study explores the roles of their interplay in modulating amyloid pathology. We analyzed data from 905 participants (mean age = 62.0) in the CABLE cohort and 973 participants (mean age = 73.1) in the ADNI, classified using the A/T/N biomarker framework. One-way ANOVA was used to assess whether cerebrospinal fluid (CSF) PGRN and sTREM2 differed across biomarker profiles and clinical stages. Multiple linear regression models and linear mixed-effects models were used to test the relationships among PGRN, sTREM2, and CSF Aβ1–42 levels. Mediation analysis was used to explore the reciprocal relationships between sTREM2 and PGRN in influencing amyloid pathology. CSF proteomic and bioinformatic analyses were finally used to investigate the underlying biological mechanisms. In both cohorts, PGRN and sTREM2 were higher in individuals within the TN+ profile irrespective of the A status, and followed similar trajectory across different clinical and biomarker stage. CSF PGRN was associated with higher sTREM2 across AD continuum and non-AD pathophysiology. Bidirectional mediation was observed between PGRN (14.6% in CABLE, 15.6% in ADNI) and sTREM2 (29.7% in CABLE, 33.5% in ADNI) in modulating Aβ pathology (p < 0.0001). Proteomic analysis identified 1539 CSF proteins (Bonferroni-corrected p < 7.13 × 10−6) simultaneously associated with PGRN, sTREM2, and Aβ1–42. These proteins are mainly enriched in immune processes and neural plasticity. These findings suggest that the interplay between lysosome function and microglia-related neuroinflammation plays key roles in amyloid metabolism.
UR - https://www.scopus.com/pages/publications/105010782273
U2 - 10.1038/s41398-025-03457-6
DO - 10.1038/s41398-025-03457-6
M3 - Article
C2 - 40628712
AN - SCOPUS:105010782273
SN - 2158-3188
VL - 15
JO - Translational Psychiatry
JF - Translational Psychiatry
IS - 1
M1 - 233
ER -