Literature DB >> 27078044

In vivo photoacoustic flow cytometry for early malaria diagnosis.

Chengzhong Cai1,2, Kai A Carey1, Dmitry A Nedosekin1, Yulian A Menyaev1, Mustafa Sarimollaoglu1, Ekaterina I Galanzha1, Jason S Stumhofer3, Vladimir P Zharov1.   

Abstract

In vivo photoacoustic (PA) flow cytometry (PAFC) has already demonstrated a great potential for the diagnosis of deadly diseases through ultrasensitive detection of rare disease-associated circulating markers in whole blood volume. Here, we demonstrate the first application of this powerful technique for early diagnosis of malaria through label-free detection of malaria parasite-produced hemozoin in infected red blood cells (iRBCs) as high-contrast PA agent. The existing malaria tests using blood smears can detect the disease at 0.001-0.1% of parasitemia. On the contrary, linear PAFC showed a potential for noninvasive malaria diagnosis at an extremely low level of parasitemia of 0.0000001%, which is ∼10(3) times better than the existing tests. Multicolor time-of-flight PAFC with high-pulse repetition rate lasers at wavelengths of 532, 671, and 820 nm demonstrated rapid spectral and spatial identification and quantitative enumeration of individual iRBCs. Integration of PAFC with fluorescence flow cytometry (FFC) provided real-time simultaneous detection of single iRBCs and parasites expressing green fluorescence proteins, respectively. A combination of linear and nonlinear nanobubble-based multicolor PAFC showed capability to real-time control therapy efficiency by counting of iRBCs before, during, and after treatment. Our results suggest that high-sensitivity, high-resolution ultrafast PAFC-FFC platform represents a powerful research tool to provide the insight on malaria progression through dynamic study of parasite-cell interactions directly in bloodstream, whereas portable hand-worn PAFC device could be broadly used in humans for early malaria diagnosis.
© 2016 International Society for Advancement of Cytometry. © 2016 International Society for Advancement of Cytometry.

Entities:  

Keywords:  early diagnosis; fluorescence; hemozoin; in vivo flow cytometry; label-free detection; malaria; nanobubbles; photoacoustic spectroscopy

Mesh:

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Year:  2016        PMID: 27078044     DOI: 10.1002/cyto.a.22854

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  21 in total

Review 1.  Inorganic Complexes and Metal-Based Nanomaterials for Infectious Disease Diagnostics.

Authors:  Christine F Markwalter; Andrew G Kantor; Carson P Moore; Kelly A Richardson; David W Wright
Journal:  Chem Rev       Date:  2018-12-04       Impact factor: 60.622

2.  In Vivo Imaging of the Buccal Mucosa Shows Loss of the Endothelial Glycocalyx and Perivascular Hemorrhages in Pediatric Plasmodium falciparum Malaria.

Authors:  Eric Lyimo; Lars Emil Haslund; Thomas Ramsing; Christian William Wang; Akinwale Michael Efunshile; Alphaxard Manjurano; Victor Makene; John Lusingu; Thor Grundtvig Theander; Jørgen Anders Lindholm Kurtzhals; Rasmus Paulsen; Casper Hempel
Journal:  Infect Immun       Date:  2020-02-20       Impact factor: 3.441

3.  Dynamic blood flow phantom with negative and positive photoacoustic contrasts.

Authors:  Hind J Jawad; Mustafa Sarimollaoglu; Alexandru S Biris; Vladimir P Zharov
Journal:  Biomed Opt Express       Date:  2018-09-10       Impact factor: 3.732

4.  Listening to tissues with new light: recent technological advances in photoacoustic imaging.

Authors:  Tri Vu; Daniel Razansky; Junjie Yao
Journal:  J Opt       Date:  2019-09-09       Impact factor: 2.516

5.  Preclinical photoacoustic models: application for ultrasensitive single cell malaria diagnosis in large vein and artery.

Authors:  Yulian A Menyaev; Kai A Carey; Dmitry A Nedosekin; Mustafa Sarimollaoglu; Ekaterina I Galanzha; Jason S Stumhofer; Vladimir P Zharov
Journal:  Biomed Opt Express       Date:  2016-08-24       Impact factor: 3.732

6.  Fluorescence detection, enumeration and characterization of single circulating cells in vivo: technology, applications and future prospects.

Authors:  Carolin Hartmann; Roshani Patil; Charles P Lin; Mark Niedre
Journal:  Phys Med Biol       Date:  2017-12-14       Impact factor: 3.609

Review 7.  Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.

Authors:  Denis V Voronin; Anastasiia A Kozlova; Roman A Verkhovskii; Alexey V Ermakov; Mikhail A Makarkin; Olga A Inozemtseva; Daniil N Bratashov
Journal:  Int J Mol Sci       Date:  2020-03-27       Impact factor: 5.923

8.  Quantification of cellular associated graphene and induced surface receptor responses.

Authors:  Zeid A Nima; Kieng Bao Vang; Dmitry Nedosekin; Ganesh Kannarpady; Viney Saini; Shawn E Bourdo; Waqar Majeed; Fumiya Watanabe; Emilie Darrigues; Karrer M Alghazali; Raad A Alawajji; Dayton Petibone; Syed Ali; Alexandru R Biris; Daniel Casciano; Anindya Ghosh; Gregory Salamo; Vladimir Zharov; Alexandru S Biris
Journal:  Nanoscale       Date:  2019-01-17       Impact factor: 8.307

Review 9.  Optoacoustic Monitoring of Physiologic Variables.

Authors:  Rinat O Esenaliev
Journal:  Front Physiol       Date:  2017-12-12       Impact factor: 4.566

10.  Photoacoustic Flow Cytometry for Single Sickle Cell Detection In Vitro and In Vivo.

Authors:  Chengzhong Cai; Dmitry A Nedosekin; Yulian A Menyaev; Mustafa Sarimollaoglu; Mikhail A Proskurnin; Vladimir P Zharov
Journal:  Anal Cell Pathol (Amst)       Date:  2016-09-01       Impact factor: 2.916

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