Neurodegenerative Plasma Biomarkers for Prediction of Hippocampal Atrophy in Older Adults with Suspected Alzheimer’s Disease in Kinshasa, Democratic Republic of Congo

Author:

Ikanga JeanORCID,Jean Kharine,Medina Priscilla,Patel Saranya SundaramORCID,Schwinne Megan,Epenge Emmanuel,Gikelekele Guy,Tshengele Nathan,Kavugho Immaculee,Mampunza Samuel,Mananga Lelo,Teunissen Charlotte E.,Stringer Anthony,Rojas Julio C.,Chan Brandon,Lario Lago Argentina,Kramer Joel H.,Boxer Adam L.,Jeromin Andreas,Hanseeuw Bernard,Gross Alden L.,Alonso AlvaroORCID

Abstract

ABSTRACTObjectiveThe hippocampus is one of the first brain structures affected by Alzheimer’s disease (AD), and its atrophy is a strong indicator of the disease. This study investigates the ability of plasma biomarkers of AD and AD-related dementias— amyloid-β (Aβ42/40), phosphorylated tau-181 (p-tau181), neurofilament light (NfL), and glial fibrillary acidic protein (GFAP)—to predict hippocampal atrophy in adult individuals in Kinshasa, Democratic Republic of Congo (DRC).MethodsEighty-five adult individuals (40 healthy and 45 suspected AD) over 65 years old were evaluated using the Community Screening Instrument for Dementia and Alzheimer’s Questionnaire (AQ). Core AD biomarkers (Aβ42/40 and p-tau181) and non-specific neurodegeneration biomarkers (NfL, GFAP) were measured in blood samples collected at the study visit. Hippocampal volumes were measured using magnetic resonance imaging (MRI). General linear regression was used to evaluate differences in biomarker concentrations by neurological status. Logistic regression models were used to create receiver operating characteristic curves and calculate areas under the curve (AUCs) with and without clinical covariates to determine the ability of biomarker concentrations to predict hippocampal atrophy. Plasma biomarkers were used either individually or in combination in the models.ResultsElevated p-tau181 was associated with left hippocampal (LH) atrophy p= 0.020). Only higher p-tau181 concentrations were significantly associated with 4.2-fold increased odds [OR=4.2 (1.5-18.4)] of hippocampal atrophy per standard deviation. The AUC of plasma biomarkers without clinical covariates to discriminate LH, RH, and total hippocampal (TH) or both hippocampi atrophy ranged between 90% to 94%, 76% to 82%, and 85% to 87%, respectively. The AUC of models including clinical covariates and AD biomarkers used in combination to discriminate LH, RH, and TH ranged between 94%-96%, 81%-84%, and 88%-90%, respectively.ConclusionThese results indicate that, consistent with studies in other settings, core AD plasma biomarkers can predict hippocampal atrophy in a population in Sub-Saharan Africa.

Publisher

Cold Spring Harbor Laboratory

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