Rapid Identification of Pathogens Causing Bloodstream
Infections by Raman Spectroscopy and Raman Tweezers

J 2023

Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers

REBROŠOVÁ, Katarína, Silvie BERNATOVÁ, Martin ŠILER, Jan MAŠEK, Ota SAMEK et. al.

Basic information

Original name

Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers

Authors

REBROŠOVÁ, Katarína (703 Slovakia, guarantor, belonging to the institution), Silvie BERNATOVÁ (203 Czech Republic), Martin ŠILER (203 Czech Republic), Jan MAŠEK (203 Czech Republic, belonging to the institution), Ota SAMEK (203 Czech Republic), Jan JEŽEK (203 Czech Republic), Martin KIZOVSKY (203 Czech Republic), Veronika HOLÁ (203 Czech Republic, belonging to the institution), Pavel ZEMÁNEK (203 Czech Republic) and Filip RŮŽIČKA (203 Czech Republic, belonging to the institution)

Edition

Microbiology Spectrum, WASHINGTON, American Society for Microbiology, 2023, 2165-0497

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10606 Microbiology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.700 in 2022

RIV identification code

RIV/00216224:14110/23:00130632

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1128/spectrum.00028-23

UT WoS

000972477400001

Keywords in English

Raman spectroscopy; bloodstream infections; diagnostics; sepsis; bacteria; Candida; Raman tweezers

Abstract

V originále

The search for the “Holy Grail” in clinical diagnostic microbiology—a reliable, accurate, low-cost, real-time, easy-to-use method—has brought up several methods with the potential to meet these criteria. One is Raman spectroscopy, an optical, nondestructive method based on the inelastic scattering of monochromatic light. The current study focuses on the possible use of Raman spectroscopy for identifying microbes causing severe, often life-threatening bloodstream infections. We included 305 microbial strains of 28 species acting as causative agents of bloodstream infections. Raman spectroscopy identified the strains from grown colonies, with 2.8% and 7% incorrectly identified strains using the support vector machine algorithm based on centered and uncentred principal-component analyses, respectively. We combined Raman spectroscopy with optical tweezers to speed up the process and captured and analyzed microbes directly from spiked human serum. The pilot study suggests that it is possible to capture individual microbial cells from human serum and characterize them by Raman spectroscopy with notable differences among different species.

Links

EF19_073/0016943, research and development project

Name: Interní grantová agentura Masarykovy univerzity

MUNI/A/1291/2021, interní kód MU

Name: Nozokomiální nákazy – nové cesty jejich diagnostiky a terapie (Acronym: NNNCDT)

Investor: Masaryk University

MUNI/A/1361/2022, interní kód MU

Name: Diagnostika a terapie původců nozokomiálních infekcí

Investor: Masaryk University, Diagnosis and therapy of agents causing nosocomial infections

MUNI/IGA/1093/2020, interní kód MU

Name: Use of Raman spectroscopy for differentiation among pathogens causing urinary tract and bloodstream infections (Acronym: Raman spectroscopy for UTIs and BSIs)

Investor: Masaryk University

NU21-05-00341, research and development project

Name: Pokročilé metody detekce patogenních mikroorganizmů a hodnocení účinku antimikrobiálních látek Ramanovou spektroskopií a dalšími metodami na úrovni molekul v optofluidních systémech

Investor: Ministry of Health of the CR, Subprogram 1 - standard

Citovat

REBROŠOVÁ, Katarína, Silvie BERNATOVÁ, Martin ŠILER, Jan MAŠEK, Ota SAMEK, Jan JEŽEK, Martin KIZOVSKY, Veronika HOLÁ, Pavel ZEMÁNEK and Filip RŮŽIČKA. Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers. Microbiology Spectrum. WASHINGTON: American Society for Microbiology, 2023, vol. 11, No 3, p. 1-15. ISSN 2165-0497. Available from: https://dx.doi.org/10.1128/spectrum.00028-23.

@article{2277258,
   author = {Rebrošová, Katarína and Bernatová, Silvie and Šiler, Martin and Mašek, Jan and Samek, Ota and Ježek, Jan and Kizovsky, Martin and Holá, Veronika and Zemánek, Pavel and Růžička, Filip},
   article_location = {WASHINGTON},
   article_number = {3},
   doi = {http://dx.doi.org/10.1128/spectrum.00028-23},
   keywords = {Raman spectroscopy; bloodstream infections; diagnostics; sepsis; bacteria; Candida; Raman tweezers},
   language = {eng},
   issn = {2165-0497},
   journal = {Microbiology Spectrum},
   title = {Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers},
   url = {https://journals.asm.org/doi/10.1128/spectrum.00028-23},
   volume = {11},
   year = {2023}
}

TY  - JOUR
ID  - 2277258
AU  - Rebrošová, Katarína - Bernatová, Silvie - Šiler, Martin - Mašek, Jan - Samek, Ota - Ježek, Jan - Kizovsky, Martin - Holá, Veronika - Zemánek, Pavel - Růžička, Filip
PY  - 2023
TI  - Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers
JF  - Microbiology Spectrum
VL  - 11
IS  - 3
SP  - 1-15
EP  - 1-15
PB  - American Society for Microbiology
SN  - 21650497
KW  - Raman spectroscopy
KW  - bloodstream infections
KW  - diagnostics
KW  - sepsis
KW  - bacteria
KW  - Candida
KW  - Raman tweezers
UR  - https://journals.asm.org/doi/10.1128/spectrum.00028-23
N2  - The search for the “Holy Grail” in clinical diagnostic microbiology—a reliable, accurate, low-cost, real-time, easy-to-use method—has brought up several methods with the potential to meet these criteria. One is Raman spectroscopy, an optical, nondestructive method based on the inelastic scattering of monochromatic light. The current study focuses on the possible use of Raman spectroscopy for identifying microbes causing severe, often life-threatening bloodstream infections. We included 305 microbial strains of 28 species acting as causative agents of bloodstream infections. Raman spectroscopy identified the strains from grown colonies, with 2.8% and 7% incorrectly identified strains using the support vector machine algorithm based on centered and uncentred principal-component analyses, respectively. We combined Raman spectroscopy with optical tweezers to speed up the process and captured and analyzed microbes directly from spiked human serum. The pilot study suggests that it is possible to capture individual microbial cells from human serum and characterize them by Raman spectroscopy with notable differences among different species.
ER  -

REBROŠOVÁ, Katarína, Silvie BERNATOVÁ, Martin ŠILER, Jan MAŠEK, Ota SAMEK, Jan JEŽEK, Martin KIZOVSKY, Veronika HOLÁ, Pavel ZEMÁNEK and Filip RŮŽIČKA. Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers. \textit{Microbiology Spectrum}. WASHINGTON: American Society for Microbiology, 2023, vol.~11, No~3, p.~1-15. ISSN~2165-0497. Available from: https://dx.doi.org/10.1128/spectrum.00028-23.

Detailed Information on Publication Record