• Je něco špatně v tomto záznamu ?

Use of MALDI-TOF mass spectrometry for virus identification: a review

T. Do, R. Guran, V. Adam, O. Zitka

. 2022 ; 147 (14) : 3131-3154. [pub] 20220712

Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc22025233

The coronavirus pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) directly or indirectly affects every individual worldwide. The fight against SARS-CoV-2 is based on the rapid and accurate diagnosis and subsequent isolation of infected individuals. Therefore, the demands for the scientific development of diagnostic methods for the confirmation of SARS-CoV-2 are enormous. Currently, reverse-transcription quantitative polymerase chain reaction (RT-qPCR) is the main method used for detecting viruses, including SARS-CoV-2, and is considered the gold standard for coronavirus disease 2019 (COVID-19) identification. However, various alternatives have been investigated due to the time and cost demands of this method or to shortages of reagents. In this review, we focus on matrix-assisted laser desorption and ionisation with time-of-flight analyser mass spectrometry (MALDI-TOF MS) techniques as potential tools for the diagnosis of viruses with an emphasis on SARS-CoV-2. MALDI-TOF is commonly used in clinical laboratories for bacterial characterization and identification, but in the field of clinical virology, MALDI-TOF remains only a promising technology for routine diagnosis. This review provides an overview of the development of clinical virology from the point of view of using MALDI-TOF for virus identification and as a possible diagnostic tool for SARS-CoV-2 detection. In addition, this review summarizes the current state of standard methods for virus diagnostics including the preparation of clinical samples.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22025233
003      
CZ-PrNML
005      
20221031100137.0
007      
ta
008      
221017s2022 enk f 000 0|eng||
009      
AR
024    7_
$a 10.1039/d2an00431c $2 doi
035    __
$a (PubMed)35713185
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a enk
100    1_
$a Do, Tomas $u Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic. ondrej.zitka@mendelu.cz $1 https://orcid.org/http://orcid.org/0000000198926482
245    10
$a Use of MALDI-TOF mass spectrometry for virus identification: a review / $c T. Do, R. Guran, V. Adam, O. Zitka
520    9_
$a The coronavirus pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) directly or indirectly affects every individual worldwide. The fight against SARS-CoV-2 is based on the rapid and accurate diagnosis and subsequent isolation of infected individuals. Therefore, the demands for the scientific development of diagnostic methods for the confirmation of SARS-CoV-2 are enormous. Currently, reverse-transcription quantitative polymerase chain reaction (RT-qPCR) is the main method used for detecting viruses, including SARS-CoV-2, and is considered the gold standard for coronavirus disease 2019 (COVID-19) identification. However, various alternatives have been investigated due to the time and cost demands of this method or to shortages of reagents. In this review, we focus on matrix-assisted laser desorption and ionisation with time-of-flight analyser mass spectrometry (MALDI-TOF MS) techniques as potential tools for the diagnosis of viruses with an emphasis on SARS-CoV-2. MALDI-TOF is commonly used in clinical laboratories for bacterial characterization and identification, but in the field of clinical virology, MALDI-TOF remains only a promising technology for routine diagnosis. This review provides an overview of the development of clinical virology from the point of view of using MALDI-TOF for virus identification and as a possible diagnostic tool for SARS-CoV-2 detection. In addition, this review summarizes the current state of standard methods for virus diagnostics including the preparation of clinical samples.
650    12
$a COVID-19 $x diagnóza $7 D000086382
650    _2
$a lidé $7 D006801
650    _2
$a pandemie $7 D058873
650    _2
$a SARS-CoV-2 $7 D000086402
650    _2
$a spektrometrie hmotnostní - ionizace laserem za účasti matrice $x metody $7 D019032
650    12
$a viry $7 D014780
655    _2
$a časopisecké články $7 D016428
655    _2
$a přehledy $7 D016454
700    1_
$a Guran, Roman $u Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic. ondrej.zitka@mendelu.cz $u Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic $1 https://orcid.org/http://orcid.org/000000022912714X
700    1_
$a Adam, Vojtech $u Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic. ondrej.zitka@mendelu.cz $u Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic $1 https://orcid.org/http://orcid.org/000000028527286X
700    1_
$a Zitka, Ondrej $u Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic. ondrej.zitka@mendelu.cz $u Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic $1 https://orcid.org/http://orcid.org/0000000176075058
773    0_
$w MED00000331 $t Analyst $x 1364-5528 $g Roč. 147, č. 14 (2022), s. 3131-3154
856    41
$u https://pubmed.ncbi.nlm.nih.gov/35713185 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20221017 $b ABA008
991    __
$a 20221031100135 $b ABA008
999    __
$a ok $b bmc $g 1854770 $s 1176523
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2022 $b 147 $c 14 $d 3131-3154 $e 20220712 $i 1364-5528 $m Analyst $n Analyst $x MED00000331
LZP    __
$a Pubmed-20221017

Najít záznam

Citační ukazatele

Pouze přihlášení uživatelé

Možnosti archivace

Nahrávání dat ...