A highly sensitive and rapid enzymatic method using a biochemical automated analyzer to detect inorganic pyrophosphate generated by nucleic acid sequence-based amplification.

Biochemical automated analyzer Enzymatic method Inorganic pyrophosphate Nitroso-PSAP Nucleic acid sequence-based amplification

Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 18 09 2020
revised: 16 10 2020
accepted: 18 10 2020
pubmed: 24 10 2020
medline: 22 6 2021
entrez: 23 10 2020
Statut: ppublish

Résumé

Polymerase chain reaction-based techniques require expensive equipment for fluorescence detection of the products. However, the measurement of inorganic pyrophosphate (PPi) released during DNA synthesis can be used to quantify target genes without such equipment. Here, we devised a high-sensitivity enzymatic assay for detection of PPi. In our assay method, PPi was converted to hypoxanthine by hypoxanthine phosphoribosyl transferase. Xanthine dehydrogenase converted the hypoxanthine to uric acid and yielded two molecules of NADH, which in turn reduced Fe The assay was able to detect PPi within 10 min. It was linear between 0 and 10 µmol/L PPi, and intra-run and inter-run coefficients of variation were 1%-2%. Other validation tests with a biochemical automated analyzer were satisfactory. The assay could potentially be used to directly quantify samples after isothermal nucleic acid sequence-based amplification of a target gene. The method developed here for detection of PPi can be used to measure nucleic acid biomarkers in biological samples in clinical practice using a high-throughput biochemical automated analyzer.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
Polymerase chain reaction-based techniques require expensive equipment for fluorescence detection of the products. However, the measurement of inorganic pyrophosphate (PPi) released during DNA synthesis can be used to quantify target genes without such equipment. Here, we devised a high-sensitivity enzymatic assay for detection of PPi.
MATERIALS AND METHODS METHODS
In our assay method, PPi was converted to hypoxanthine by hypoxanthine phosphoribosyl transferase. Xanthine dehydrogenase converted the hypoxanthine to uric acid and yielded two molecules of NADH, which in turn reduced Fe
RESULTS RESULTS
The assay was able to detect PPi within 10 min. It was linear between 0 and 10 µmol/L PPi, and intra-run and inter-run coefficients of variation were 1%-2%. Other validation tests with a biochemical automated analyzer were satisfactory. The assay could potentially be used to directly quantify samples after isothermal nucleic acid sequence-based amplification of a target gene.
CONCLUSION CONCLUSIONS
The method developed here for detection of PPi can be used to measure nucleic acid biomarkers in biological samples in clinical practice using a high-throughput biochemical automated analyzer.

Identifiants

pubmed: 33096031
pii: S0009-8981(20)30508-8
doi: 10.1016/j.cca.2020.10.026
pii:
doi:

Substances chimiques

Diphosphates 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

298-305

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Atsushi Isobe (A)

Medical Laboratory Science, Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Kōzunomori, Narita, Chiba, Japan. Electronic address: Atsushi_isobe@terumo.co.jp.

Yuki Iwabuchi (Y)

Medical Laboratory Science, Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Kōzunomori, Narita, Chiba, Japan.

Miki Yajima (M)

Medical Laboratory Science, Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Kōzunomori, Narita, Chiba, Japan.

Shin-Ichi Sakasegawa (SI)

Asahi Kasei Pharma Corporation, Mifuku, Izunokuni, Shizuoka, Japan.

Yoshitaka Yamaguchi (Y)

Department of Medical Technology and Sciences, School of Health Sciences at Narita, International University of Health and Welfare, Kōzunomori, Narita, Chiba, Japan.

Masanori Seimiya (M)

Department of Medical Technology and Sciences, School of Health Sciences at Narita, International University of Health and Welfare, Kōzunomori, Narita, Chiba, Japan.

Tsukuru Umemura (T)

Department of Medical Technology and Sciences, School of Health Sciences at Okawa, International University of Health and Welfare, Enokizu, Okawa, Fukuoka, Japan.

Susumu Osawa (S)

Department of Medical Technology and Sciences, School of Health Sciences at Narita, International University of Health and Welfare, Kōzunomori, Narita, Chiba, Japan.

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Classifications MeSH