• Je něco špatně v tomto záznamu ?

Identification of filamentous fungi including dermatophytes using MALDI-TOF mass spectrometry

P. Hamal, A. Vavrova, J. Mrazek, L. Svobodova

. 2022 ; 67 (1) : 55-61. [pub] 20210909

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc22006003

Grantová podpora
NV 17-31269A Ministerstvo Zdravotnictví Ceské Republiky

Identification of filamentous fungi based on morphological features is the most available approach used in clinical mycology laboratories. However, MALDI-TOF mass spectrometry is currently invaluable for identification of microorganisms because of its rapidity, simplicity, and accuracy. This study aimed to find the optimal way of identifying filamentous fungi using MALDI-TOF MS.The sample comprised 193 isolates of filamentous fungi. The identification started with morphological assessment. Then isolates were identified using MALDI-TOF MS, both directly from culture and following culture in liquid media with extraction. Subsequently, identification of 20 selected isolates was compared by sequencing of the benA gene, ITS1-5,8-ITS2, and D1-D2 LSU regions.Based on morphological criteria, 17 genera of fungi were identified. With MALDI-TOF MS performed directly from culture, nine isolates were identified to the genus level and 184 to the species level, with a total of 75 species being noted. With the MALDI-TOF MS extraction method, 190 isolates were identified to the species level, with 43 species being noted. The rates of agreement between identification using morphology and the MALDI-TOF MS direct method were 58.55% at the genus level and 22.24% at the species level. The rates of agreement between identification using morphology and the MALDI-TOF MS extraction method were 84.97% at the genus level and 46.11% at the species level. Using sequencing, 87.5% agreement was found for identification with the MALDI-TOF MS extraction method, as compared with only 43.75% for the direct method.The results suggest that the optimal approach to identification of filamentous fungi is a combination of morphological features and MALDI-TOF MS using the extraction method.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22006003
003      
CZ-PrNML
005      
20240416144516.0
007      
ta
008      
220207s2022 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1007/s12223-021-00917-6 $2 doi
035    __
$a (PubMed)34499312
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Hamal, Petr $u Department of Microbiology, University Hospital, Olomouc, Czech Republic. petr.hamal@fnol.cz $1 https://orcid.org/0000000253618125 $7 xx0060595
245    10
$a Identification of filamentous fungi including dermatophytes using MALDI-TOF mass spectrometry / $c P. Hamal, A. Vavrova, J. Mrazek, L. Svobodova
520    9_
$a Identification of filamentous fungi based on morphological features is the most available approach used in clinical mycology laboratories. However, MALDI-TOF mass spectrometry is currently invaluable for identification of microorganisms because of its rapidity, simplicity, and accuracy. This study aimed to find the optimal way of identifying filamentous fungi using MALDI-TOF MS.The sample comprised 193 isolates of filamentous fungi. The identification started with morphological assessment. Then isolates were identified using MALDI-TOF MS, both directly from culture and following culture in liquid media with extraction. Subsequently, identification of 20 selected isolates was compared by sequencing of the benA gene, ITS1-5,8-ITS2, and D1-D2 LSU regions.Based on morphological criteria, 17 genera of fungi were identified. With MALDI-TOF MS performed directly from culture, nine isolates were identified to the genus level and 184 to the species level, with a total of 75 species being noted. With the MALDI-TOF MS extraction method, 190 isolates were identified to the species level, with 43 species being noted. The rates of agreement between identification using morphology and the MALDI-TOF MS direct method were 58.55% at the genus level and 22.24% at the species level. The rates of agreement between identification using morphology and the MALDI-TOF MS extraction method were 84.97% at the genus level and 46.11% at the species level. Using sequencing, 87.5% agreement was found for identification with the MALDI-TOF MS extraction method, as compared with only 43.75% for the direct method.The results suggest that the optimal approach to identification of filamentous fungi is a combination of morphological features and MALDI-TOF MS using the extraction method.
650    12
$a Arthrodermataceae $x genetika $7 D003883
650    _2
$a kultivační média $7 D003470
650    _2
$a diagnostické testy rutinní $7 D003955
650    _2
$a houby $x genetika $7 D005658
650    _2
$a spektrometrie hmotnostní - ionizace laserem za účasti matrice $7 D019032
655    _2
$a časopisecké články $7 D016428
700    1_
$a Vavrova, Anna $u Department of Microbiology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
700    1_
$a Mrazek, Jakub $u Department of Bacteriology and Mycology, Institute of Public Health, Ostrava, Czech Republic
700    1_
$a Svobodova, Lucie $u Department of Microbiology, University Hospital, Olomouc, Czech Republic
773    0_
$w MED00011005 $t Folia microbiologica $x 1874-9356 $g Roč. 67, č. 1 (2022), s. 55-61
856    41
$u https://pubmed.ncbi.nlm.nih.gov/34499312 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20220207 $b ABA008
991    __
$a 20240416144513 $b ABA008
999    __
$a ok $b bmc $g 1757417 $s 1157156
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2022 $b 67 $c 1 $d 55-61 $e 20210909 $i 1874-9356 $m Folia microbiologica $n Folia microbiol. (Prague) $x MED00011005
GRA    __
$a NV 17-31269A $p Ministerstvo Zdravotnictví Ceské Republiky
LZP    __
$a Pubmed-20220207

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...