Literature DB >> 32255379

Diagnostic accuracy of cerebrospinal fluid biomarkers measured by chemiluminescent enzyme immunoassay for Alzheimer disease diagnosis.

Luisa Agnello1, Tommaso Piccoli2, Matteo Vidali3, Luca Cuffaro2, Bruna Lo Sasso1, Giorgia Iacolino1, Vincenza Rosaria Giglio1, Federica Lupo2, Pierpaolo Alongi2, Giulia Bivona1, Marcello Ciaccio1,4.   

Abstract

In the last decades, an important role of cerebrospinal fluid (CSF) biomarkers for Alzheimer disease (AD) diagnosis has emerged. The evaluation of the triad consisting of 42 aminoacid-long amyloid-beta peptide (Aβ42), total Tau (tTau) and Tau phosphorylated at threonine 181 (pTau) have been recently integrated into the research diagnostic criteria of AD. For a long time, the enzyme-linked immunosorbent assay (ELISA) has represented the most commonly used method for the measurement of CSF biomarkers levels. This study aimed to assess the diagnostic accuracy of CSF biomarkers, namely Aβ42, tTau and pTau and their ratio, measured by fully automated CLEIA assay (Lumipulse). We included 96 patients clinically diagnosed as AD (48) and non-AD (48). All CSF biomarkers levels were measured on Lumipulse G1200 fully automated platform (Fujirebio Inc. Europe, Gent, Belgium). Aβ42 levels, 42/40 ratio, 42/tTau ratio, 42/PTau ratio were significantly reduced, and tTau and PTau levels were significantly increased in AD patients in comparison with non-AD patients. The receiving operator curve (ROC) analysis showed good diagnostic accuracy of all CSF biomarkers and their ratios for discriminating AD patients from non-AD patients, with 42/40 ratio having the best AUC (0.724, 95%CI 0.619-0.828; p < 0.001). Our findings support the use of CSF biomarkers measured by CLEIA method on a fully automated platform for AD diagnosis.

Entities:  

Keywords:  Alzheimer disease; CLEIA; CSF biomarkers; chemiluminescent enzyme immunoassay method; liquor

Mesh:

Substances:

Year:  2020        PMID: 32255379     DOI: 10.1080/00365513.2020.1740939

Source DB:  PubMed          Journal:  Scand J Clin Lab Invest        ISSN: 0036-5513            Impact factor:   1.713


  12 in total

1.  CSF Alzheimer Disease Biomarkers: Time-Varying Relationships With MCI Symptom Onset and Associations With Age, Sex, and ApoE4.

Authors:  Barry D Greenberg; Corinne Pettigrew; Anja Soldan; Jiangxia Wang; Mei-Cheng Wang; Jacqueline A Darrow; Marilyn S Albert; Abhay Moghekar
Journal:  Neurology       Date:  2022-10-11       Impact factor: 11.800

Review 2.  Development of Alzheimer's Disease Biomarkers: From CSF- to Blood-Based Biomarkers.

Authors:  Sakulrat Mankhong; Sujin Kim; Seongju Lee; Hyo-Bum Kwak; Dong-Ho Park; Kyung-Lim Joa; Ju-Hee Kang
Journal:  Biomedicines       Date:  2022-04-05

3.  Comparison of cerebrospinal fluid tau, ptau(181), synuclein, and 14-3-3 for the detection of Creutzfeldt-Jakob disease in clinical practice.

Authors:  Martin Fayolle; Sylvain Lehmann; Constance Delaby
Journal:  J Neural Transm (Vienna)       Date:  2022-01-18       Impact factor: 3.575

4.  Alzheimer's cerebrospinal biomarkers from Lumipulse fully automated immunoassay: concordance with amyloid-beta PET and manual immunoassay in Koreans : CSF AD biomarkers measured by Lumipulse in Koreans.

Authors:  Sohee Moon; Sujin Kim; Sakulrat Mankhong; Seong Hye Choi; Manu Vandijck; Vesna Kostanjevecki; Jee Hyang Jeong; Soo Jin Yoon; Kyung Won Park; Eun-Joo Kim; Bora Yoon; Hee Jin Kim; Jae-Won Jang; Jin Yong Hong; Dong-Ho Park; Leslie M Shaw; Ju-Hee Kang
Journal:  Alzheimers Res Ther       Date:  2021-01-12       Impact factor: 6.982

Review 5.  COVID-19 and Alzheimer's Disease.

Authors:  Marcello Ciaccio; Bruna Lo Sasso; Concetta Scazzone; Caterina Maria Gambino; Anna Maria Ciaccio; Giulia Bivona; Tommaso Piccoli; Rosaria Vincenza Giglio; Luisa Agnello
Journal:  Brain Sci       Date:  2021-02-27

6.  The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies.

Authors:  Timo Tuovinen; Janne Kananen; Zalan Rajna; Johannes Lieslehto; Vesa Korhonen; Riikka Rytty; Heli Mattila; Niko Huotari; Lauri Raitamaa; Heta Helakari; Ahmed Abou Elseoud; Johanna Krüger; Pierre LeVan; Osmo Tervonen; Juergen Hennig; Anne M Remes; Maiken Nedergaard; Vesa Kiviniemi
Journal:  Sci Rep       Date:  2020-12-09       Impact factor: 4.379

7.  Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: A comparison of Lumipulse and established immunoassays.

Authors:  Ashvini Keshavan; Henrietta Wellington; Zhongbo Chen; Ayesha Khatun; Miles Chapman; Melanie Hart; David M Cash; William Coath; Thomas D Parker; Sarah M Buchanan; Sarah E Keuss; Matthew J Harris; Heidi Murray-Smith; Amanda Heslegrave; Nick C Fox; Henrik Zetterberg; Jonathan M Schott
Journal:  Alzheimers Dement (Amst)       Date:  2020-09-13

8.  Development of fully automated and ultrasensitive assays for urinary adiponectin and their application as novel biomarkers for diabetic kidney disease.

Authors:  Toshihiro Watanabe; Yuki Fujimoto; Aya Morimoto; Mai Nishiyama; Akinori Kawai; Seiki Okada; Motohiro Aiba; Tomoharu Kawano; Mina Kawahigashi; Masashi Ishizu; Hiroyasu Mori; Munehide Matsuhisa; Akiko Hata; Makoto Funaki; Seiichi Hashida
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

Review 9.  The Role of Vitamin D as a Biomarker in Alzheimer's Disease.

Authors:  Giulia Bivona; Bruna Lo Sasso; Caterina Maria Gambino; Rosaria Vincenza Giglio; Concetta Scazzone; Luisa Agnello; Marcello Ciaccio
Journal:  Brain Sci       Date:  2021-03-06

10.  Neurogranin as a Reliable Biomarker for Synaptic Dysfunction in Alzheimer's Disease.

Authors:  Luisa Agnello; Bruna Lo Sasso; Matteo Vidali; Concetta Scazzone; Tommaso Piccoli; Caterina Maria Gambino; Giulia Bivona; Rosaria Vincenza Giglio; Anna Maria Ciaccio; Vincenzo La Bella; Marcello Ciaccio
Journal:  Diagnostics (Basel)       Date:  2021-12-12
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