Serum β-amyloid 1–42 Levels as Alternative Non-invasive Screening Biomarker for Alzheimer’s Disease and Vascular Dementia in Indonesian Elderly Population

Indah Aprianti Putri, Huda Shalahuddin Darusman, Muhammad Hamdan, Pukovisa Prawiroharjo, Budi Utomo, Jusak Nugraha, Yohanna Kusuma, Nurrani Mustika Dewi, Ferry Sandra

Abstract


BACKGROUND: Alzheimer’s disease (AD) and vascular dementia (VaD) impose a substantial public health burden in Indonesia; however, accessible blood-based biomarkers for early screening remain limited. Although cerebrospinal fluid β-amyloid 1–42 is an established biomarker, its invasive nature restricts its use for population-level screening. Therefore, it is necessary to have locally-produced serum β-amyloid 1–42 ELISA kit that is specifically designed for Indonesian elderly population. In this study, a locally-produced β-amyloid 1–42 ELISA kit was validated and used for the screening of AD, VaD and mild cognitive impairment (MCI) Indonesian population.

METHODS: A cross-sectional study including 166 subjects: 31 AD, 34 VaD, 34 MCI patients, and 67 cognitively normal controls was conducted. All participants underwent cognitive assessments including Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment-Indonesian version (MoCA-Ina), as well as brain magnetic resonance imaging (MRI) 3-Tesla for the assessment of medial temporal atrophy/white matter changes. Fasting venous blood sampling was taken from each subjects for the measurement of serum β-amyloid 1-42 measurement using locally-produced ELISA kit.

RESULTS: Median serum β-amyloid 1–42 levels were 11.03, 10.99, and 10.99 pg/mL for the AD, VaD, and MCI subjects, respectively. The β-amyloid 1–42 levels were correlated with MMSE scores in all group (AD: r=−0.455, p=0.010; VaD: r=−0.419, p=0.014; MCI: r=−0.412, p=0.015). The validity analysis of the locally-produced serum β-amyloid 1–42 ELISA kit, showed sensitivity of 94.12% (95% CI: 87.3–97.9), specificity of 80.36% (95% CI: 72.4–86.8), and diagnostic accuracy of 83.56% (95% CI: 77.2–88.5).

CONCLUSION: Serum β-amyloid 1–42 levels are lower in AD and VaD subjects compared to MCI and control subjects. Serum β-amyloid 1-42 is inversely correlated with cognitive function across all groups based on MMSE score. Additionally, the locally-produced β-amyloid 1-42 ELISA kit demonstrated sensitivity of 94.12% and specificity of 80.36%, meeting Global CEO Initiative Consensus for pre-screening tools, supporting its potential as a scalable, non-invasive screening biomarker in Indonesian primary care settings.

KEYWORDS: G-banding karyotyping, next generation sequencing, non-invasive prenatal testing


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References


Meiliana A, Wijaya A. The search for biomarkers in Alzheimer's disease. Indones Biomed J. 2010; 2(1): 4-25, CrossRef.

Blennow K, Hampel H, Weiner M, Zetterberg H. CSF and plasma biomarkers in Alzheimer disease. Nat Rev Neurol. 2010; 6(3): 131-44, CrossRef.

Annita, Revilla G, Ali H, Almurdi. Adipose-derived mesenchymal stem cell (AD-MSC)-like cells restore nestin expression and reduce amyloid plaques in aluminum chloride (AlCl3)-driven alzheimer's rat models. Mol Cell Biomed Sci. 2024; 8(3): 159-66, CrossRef.

Cynthia C, Nugraha J, Hamdan M, Notobroto HB, Lumempouw SF, Dharma R. Lower plasma β-amyloid 1-42 in amnestic mild cognitive impairment. Indones Biomed J. 2024; 16(6): 572-80, CrossRef.

Ariteja S. Demographic bonus for Indonesia: challenges and policy implications of promoting universal health coverage. J Perencana Pembangunan. 2017;1(3): 265-74, CrossRef.

Christiani Y. Ageing and chronic disease in Indonesia - assessing and responding to inequity. Innov Aging. 2017; 1(Suppl 1): 999. doi: 10.1093/geroni/igx004.3621, CrossRef.

Basrowi RW, Rahayu EM, Khoe LC, Wasito E, Sundjaya T. The road to healthy ageing: what has Indonesia achieved so far? Nutrients. 2021; 13(10): 3441, CrossRef.

Aliffia D, Ramadhani DA, Wasityastuti W, Sari DRT, Kustiati U, Wihadmadyatami H, et al. Ocimum sanctum leaves prevent neuronal cell apoptosis through reduction of caspase-3 and -9 expressions and inhibition of β-amyloid oligomerization. Indones Biomed J. 2023; 15(4): 322-32, CrossRef.

Saido TC. Metabolism of amyloid-β peptide and pathogenesis of Alzheimer's disease. Proc Jpn Acad Ser B. 2013; 89(7): 321-39, CrossRef.

Risacher SL, Fandos N, Romero J, Sherriff I, Pesini P, Saykin AJ, et al. Plasma amyloid-β levels are associated with cerebral amyloid and tau deposition. Alzheimers Dement. 2019; 11: 510-9, CrossRef.

Lopez OL, Kuller LH, Mehta PD, Becker JT, Gach HM, Sweet RA, et al. Plasma amyloid levels and the risk of Alzheimer disease. Neurology. 2008; 70(19): 1664-71, CrossRef.

Albani D, Marizzoni M, Ferrari C, Fusco F, Boeri L, Raimondi I, et al. Plasma Aβ42 as biomarker of prodromal Alzheimer's disease. J Alzheimers Dis. 2019; 69(1): 37-48, CrossRef.

Yaffe K, Weston A, Graff-Radford NR, Satterfield S, Simonsick EM, Younkin SG, et al. Association of plasma β-amyloid and cognitive reserve with cognitive decline. JAMA. 2011; 305(3): 261-6, CrossRef.

Perluigi M, Di Domenico F, Butterfield DA. Oxidative damage in neurodegeneration: Roles in the pathogenesis and progression of Alzheimer disease. Physiol Rev. 2024; 104(1): 103-97, CrossRef.

Hampel H, Hu Y, Cummings J, Mattke S, Iwatsubo T, Nakamura A, et al. Blood-based biomarkers for Alzheimer's disease: Current state and future use in a transformed global healthcare landscape. Neuron. 2023; 111(18): 2781-99, CrossRef.

Leuzy A, Mattsson-Carlgren N, Palmqvist S, Janelidze S, Dage JL, Hansson O. Blood-based biomarkers for Alzheimer's disease. EMBO Mol Med. 2022; 14(1): e14408, CrossRef.

Dubois B, von Arnim CAF, Burnie N, Bozeat S, Cummings J. Biomarkers in Alzheimer's disease: Role in early and differential diagnosis and recognition of atypical variants. Alzheimers Res Ther. 2023; 15(1): 175, CrossRef.

Putri IA, Ningrum EM, Noviana R, Mariya S, Saepuloh U, Retnani EB, et al. Reliability of amyloid detection immunoassay kits for Alzheimer's disease screening: A preliminary study. Jurnal Kedokteran Hewan. 2024; 18(3): 93-6, CrossRef.

Schindler SE, Galasko D, Pereira AC, Rabinovici GD, Salloway S, Suárez-Calvet M, et al. Acceptable performance of blood biomarker tests of amyloid pathology - Recommendations from the Global CEO Initiative on Alzheimer's Disease. Nat Rev Neurol. 2024; 20(7): 426-39, CrossRef.

Pinzon R, Wijaya VO, Paramitha D. Vitamin D status and cognitive performance of post stroke patients. Mol Cell Biomed Sci. 2021; 5(1): 22-6, CrossRef.

Dao E, Best JR, Hsiung GR, Sossi V, Jacova C, Tam R, Liu-Ambrose T. Associations between cerebral amyloid and changes in cognitive function and falls risk in subcortical ischemic vascular cognitive impairment. BMC Geriatr. 2017; 17(1): 133, CrossRef.

Palmqvist S, Insel PS, Stomrud E, Janelidze S, Zetterberg H, Brix B, et al. CSF and plasma biomarker trajectories with increasing amyloid deposition in Alzheimer's disease. EMBO Mol Med. 2019; 11(12): e11170, CrossRef.

Wongta A, Saeung N, Banlue S, Limpanithiwat N, Chiewchankul A, Sookrung N. Development of an immunoassay for detection of amyloid β1-42. Sci Rep. 2020; 10: 22561, CrossRef.




DOI: https://doi.org/10.18585/inabj.v17i6.3869

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