Attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) detection as a rapid and convenient screening test for cystinuria.


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:
Jul 2021
Historique:
received: 30 12 2020
revised: 19 03 2021
accepted: 20 03 2021
pubmed: 2 4 2021
medline: 22 6 2021
entrez: 1 4 2021
Statut: ppublish

Résumé

Cystinuria is an inborn congenital disorder characterised by a defective cystine metabolism resulting in the formation of cystine stones. The Brand's test, used for diagnosis, requires dangerous substances, so has been replaced with high-performance liquid chromatography with fluorimetric detection (HPLC-FL). However, this technique requires the use of complex equipment. Infrared spectroscopy, universally used for stone analysis, recently was employed to detect insoluble cystine in urine. The aim of this study is to evaluate Infrared Spectroscopy combined with chemometric analysis as screening method to identify those patients requiring confirmation by HPLC-FL analysis. We examined 24 h urine specimens from 57 patients. The quantitative analysis was performed by HPLC-FL. The infrared spectroscopic urine sediment analysis was performed with an ATR accessory (ATR-FTIR). Urine is centrifuged, the supernatant is discarded, and the sediment is dried on to the ATR prism surface. Statistical analysis was performed using a custom-made software developed in MATLAB environment. The HPLC-FL determination showed a normal excretion of cystine in 49 samples and an abnormal excretion in the remaining 8 samples. The ATR-FTIR analysis combined with a statistical approach gives a sensitivity of 1.0 and a specificity of 0.82 were obtained. The introduction of the ATR-FTIR technique in our clinical laboratory setting may reduce time and cost analysis for diagnosis of cystinuria.

Sections du résumé

BACKGROUND BACKGROUND
Cystinuria is an inborn congenital disorder characterised by a defective cystine metabolism resulting in the formation of cystine stones. The Brand's test, used for diagnosis, requires dangerous substances, so has been replaced with high-performance liquid chromatography with fluorimetric detection (HPLC-FL). However, this technique requires the use of complex equipment. Infrared spectroscopy, universally used for stone analysis, recently was employed to detect insoluble cystine in urine. The aim of this study is to evaluate Infrared Spectroscopy combined with chemometric analysis as screening method to identify those patients requiring confirmation by HPLC-FL analysis.
METHODS METHODS
We examined 24 h urine specimens from 57 patients. The quantitative analysis was performed by HPLC-FL. The infrared spectroscopic urine sediment analysis was performed with an ATR accessory (ATR-FTIR). Urine is centrifuged, the supernatant is discarded, and the sediment is dried on to the ATR prism surface. Statistical analysis was performed using a custom-made software developed in MATLAB environment.
RESULTS RESULTS
The HPLC-FL determination showed a normal excretion of cystine in 49 samples and an abnormal excretion in the remaining 8 samples. The ATR-FTIR analysis combined with a statistical approach gives a sensitivity of 1.0 and a specificity of 0.82 were obtained.
CONCLUSIONS CONCLUSIONS
The introduction of the ATR-FTIR technique in our clinical laboratory setting may reduce time and cost analysis for diagnosis of cystinuria.

Identifiants

pubmed: 33794142
pii: S0009-8981(21)00102-9
doi: 10.1016/j.cca.2021.03.017
pii:
doi:

Substances chimiques

ATR protein, human EC 2.7.11.1
Ataxia Telangiectasia Mutated Proteins EC 2.7.11.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

128-133

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Aniello Primiano (A)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Scienze Biotecnologiche di base, Cliniche Intensivologiche e Perioperatorie, Università Cattolica del Sacro Cuore, Roma, Italy.

Silvia Persichilli (S)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Scienze Biotecnologiche di base, Cliniche Intensivologiche e Perioperatorie, Università Cattolica del Sacro Cuore, Roma, Italy.

Flavio Di Giacinto (F)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy.

Gabriele Ciasca (G)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy.

Silvia Baroni (S)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Scienze Biotecnologiche di base, Cliniche Intensivologiche e Perioperatorie, Università Cattolica del Sacro Cuore, Roma, Italy.

Pietro Manuel Ferraro (PM)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Medicina e chirurgia traslazionale, Università Cattolica del Sacro Cuore, Roma, Italy.

Marco De Spirito (M)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Neuroscienze, Sezione di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy.

Andrea Urbani (A)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy; Dipartimento di Scienze Biotecnologiche di base, Cliniche Intensivologiche e Perioperatorie, Università Cattolica del Sacro Cuore, Roma, Italy. Electronic address: andrea.urbani@unicatt.it.

Jacopo Gervasoni (J)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy. Electronic address: jacopo.gervasoni@policlinicogemelli.it.

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Classifications MeSH