IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-21110-w.html
   My bibliography  Save this article

Magneto-optical diagnosis of symptomatic malaria in Papua New Guinea

Author

Listed:
  • L. Arndt

    (University of Technology)

  • T. Koleala

    (Vector-borne Diseases Unit, PNG Institute of Medical Research)

  • Á. Orbán

    (Budapest University of Technology and Economics)

  • C. Ibam

    (Vector-borne Diseases Unit, PNG Institute of Medical Research)

  • E. Lufele

    (Vector-borne Diseases Unit, PNG Institute of Medical Research)

  • L. Timinao

    (Vector-borne Diseases Unit, PNG Institute of Medical Research
    James Cook University)

  • L. Lorry

    (Vector-borne Diseases Unit, PNG Institute of Medical Research)

  • Á. Butykai

    (Budapest University of Technology and Economics)

  • P. Kaman

    (Vector-borne Diseases Unit, PNG Institute of Medical Research)

  • A. P. Molnár

    (Budapest University of Technology and Economics)

  • S. Krohns

    (University of Augsburg)

  • E. Nate

    (Vector-borne Diseases Unit, PNG Institute of Medical Research)

  • I. Kucsera

    (National Public Health Center)

  • E. Orosz

    (National Public Health Center)

  • B. Moore

    (School of Pharmacy, Curtin University)

  • L. J. Robinson

    (Vector-borne Diseases Unit, PNG Institute of Medical Research
    Burnet Institute)

  • M. Laman

    (Vector-borne Diseases Unit, PNG Institute of Medical Research)

  • I. Kézsmárki

    (Budapest University of Technology and Economics
    University of Augsburg)

  • S. Karl

    (Vector-borne Diseases Unit, PNG Institute of Medical Research
    James Cook University)

Abstract

Improved methods for malaria diagnosis are urgently needed. Here, we evaluate a novel method named rotating-crystal magneto-optical detection (RMOD) in 956 suspected malaria patients in Papua New Guinea. RMOD tests can be conducted within minutes and at low cost. We systematically evaluate the capability of RMOD to detect infections by directly comparing it with expert light microscopy, rapid diagnostic tests and polymerase chain reaction on capillary blood samples. We show that compared to light microscopy, RMOD exhibits 82% sensitivity and 84% specificity to detect any malaria infection and 87% sensitivity and 88% specificity to detect Plasmodium vivax. This indicates that RMOD could be useful in P. vivax dominated elimination settings. Parasite density correlates well with the quantitative magneto-optical signal. Importantly, residual hemozoin present in malaria-negative patients is also detectable by RMOD, indicating its ability to detect previous infections. This could be exploited to reveal transmission hotspots in low-transmission settings.

Suggested Citation

  • L. Arndt & T. Koleala & Á. Orbán & C. Ibam & E. Lufele & L. Timinao & L. Lorry & Á. Butykai & P. Kaman & A. P. Molnár & S. Krohns & E. Nate & I. Kucsera & E. Orosz & B. Moore & L. J. Robinson & M. Lam, 2021. "Magneto-optical diagnosis of symptomatic malaria in Papua New Guinea," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21110-w
    DOI: 10.1038/s41467-021-21110-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-21110-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-21110-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21110-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.