Literature DB >> 32294542

Proteomics as a reliable approach for discovery of blood-based Alzheimer's disease biomarkers: A systematic review and meta-analysis.

Siti Hajar Rehiman1, Siong Meng Lim1, Chin Fen Neoh1, Abu Bakar Abdul Majeed2, Ai-Vyrn Chin3, Maw Pin Tan3, Shahrul Bahyah Kamaruzzaman3, Kalavathy Ramasamy4.   

Abstract

In order to gauge the impact of proteomics in discovery of Alzheimer's disease (AD) blood-based biomarkers, this study had systematically reviewed articles published between 1984-2019. Articles that fulfilled the inclusion criteria were assessed for risk of bias. A meta-analysis was performed for replicable candidate biomarkers (CB). Of the 1651 articles that were identified, 17 case-control and two cohort studies, as well as three combined case-control and longitudinal designs were shortlisted. A total of 207 AD and mild cognitive impairment (MCI) CB were discovered, with 48 reported in >2 studies. This review highlights six CB, namely alpha-2-macroglobulin (α2M)ps, pancreatic polypeptide (PP)ps, apolipoprotein A-1 (ApoA-1)ps, afaminp, insulin growth factor binding protein-2 (IGFBP-2)ps and fibrinogen-γ-chainp, all of which exhibited consistent pattern of regulation in >three independent cohorts. They are involved in AD pathogenesis via amyloid-beta (Aβ), neurofibrillary tangles, diabetes and cardiovascular diseases (CVD). Meta-analysis indicated that ApoA-1ps was significantly downregulated in AD (SMD = -1.52, 95% CI: -1.89, -1.16, p < 0.00001), with low inter-study heterogeneity (I2 = 0%, p = 0.59). α2Mps was significantly upregulated in AD (SMD = 0.83, 95% CI: 0.05, 1.62, p = 0.04), with moderate inter-study heterogeneity (I2 = 41%, p = 0.19). Both CB are involved in Aβ formation. These findings provide important insights into blood-based AD biomarkers discovery via proteomics.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alzheimer’s disease; Blood-based biomarkers; Meta-analysis; Mild cognitive impairment; Proteomics; Systematic review

Year:  2020        PMID: 32294542     DOI: 10.1016/j.arr.2020.101066

Source DB:  PubMed          Journal:  Ageing Res Rev        ISSN: 1568-1637            Impact factor:   10.895


  9 in total

Review 1.  Alzheimer disease.

Authors:  David S Knopman; Helene Amieva; Ronald C Petersen; Gäel Chételat; David M Holtzman; Bradley T Hyman; Ralph A Nixon; David T Jones
Journal:  Nat Rev Dis Primers       Date:  2021-05-13       Impact factor: 52.329

Review 2.  Neurobiological Highlights of Cognitive Impairment in Psychiatric Disorders.

Authors:  Anna Morozova; Yana Zorkina; Olga Abramova; Olga Pavlova; Konstantin Pavlov; Kristina Soloveva; Maria Volkova; Polina Alekseeva; Alisa Andryshchenko; Georgiy Kostyuk; Olga Gurina; Vladimir Chekhonin
Journal:  Int J Mol Sci       Date:  2022-01-22       Impact factor: 5.923

3.  Why Inclusion Matters for Alzheimer's Disease Biomarker Discovery in Plasma.

Authors:  Mostafa J Khan; Heather Desaire; Oscar L Lopez; M Ilyas Kamboh; Renã A S Robinson
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.160

4.  Proteomic analysis of human hippocampal subfields provides new insights into the pathogenesis of Alzheimer's disease and the role of glial cells.

Authors:  Yanpan Gao; Jiaqi Liu; Jiayu Wang; Yifan Liu; Ling-Hui Zeng; Wei Ge; Chao Ma
Journal:  Brain Pathol       Date:  2022-01-11       Impact factor: 7.611

5.  Levels of Angiotensin-Converting Enzyme and Apolipoproteins Are Associated with Alzheimer's Disease and Cardiovascular Diseases.

Authors:  Chun Xu; Debra Garcia; Yongke Lu; Kaysie Ozuna; Donald A Adjeroh; Kesheng Wang
Journal:  Cells       Date:  2021-12-23       Impact factor: 6.600

6.  Plasma protein biomarker model for screening Alzheimer disease using multiple reaction monitoring-mass spectrometry.

Authors:  Yeongshin Kim; Jaenyeon Kim; Minsoo Son; Jihyeon Lee; Injoon Yeo; Kyu Yeong Choi; Hoowon Kim; Byeong C Kim; Kun Ho Lee; Youngsoo Kim
Journal:  Sci Rep       Date:  2022-01-24       Impact factor: 4.379

7.  Prognosis of Alzheimer's Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning.

Authors:  Alexey S Kononikhin; Natalia V Zakharova; Savva D Semenov; Anna E Bugrova; Alexander G Brzhozovskiy; Maria I Indeykina; Yana B Fedorova; Igor V Kolykhalov; Polina A Strelnikova; Anna Yu Ikonnikova; Dmitry A Gryadunov; Svetlana I Gavrilova; Evgeny N Nikolaev
Journal:  Int J Mol Sci       Date:  2022-07-18       Impact factor: 6.208

8.  Interbatch Reliability of Blood-Based Cytokine and Chemokine Measurements in Community-Dwelling Older Adults: A Cross-Sectional Study.

Authors:  Cutter A Lindbergh; Breton M Asken; Kaitlin B Casaletto; Fanny M Elahi; Lauren A Goldberger; Corrina Fonseca; Michelle You; Alexandra C Apple; Adam M Staffaroni; Ryan Fitch; Will Rivera Contreras; Paul Wang; Anna Karydas; Joel H Kramer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-10-13       Impact factor: 6.591

9.  Integrated Genomic, Transcriptomic and Proteomic Analysis for Identifying Markers of Alzheimer's Disease.

Authors:  Laura Madrid; Sandra C Labrador; Antonio González-Pérez; María E Sáez
Journal:  Diagnostics (Basel)       Date:  2021-12-08
  9 in total

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