Immunology and Cell Biology of Parasitic Diseases

Terrazas, Luis I.; Satoskar, Abhay R.; Morales‐Montor, Jorge

doi:10.1155/2010/419849

Cited by 5 publications

(1 citation statement)

References 380 publications

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“…According to the World Health Organization (WHO), most of the world's leading topical diseases (malaria, schistosomiasis, filariasis, African trypanosomiasis, and leishmaniasis) are caused by blood-borne parasites and are responsible for substantial morbidity and mortality worldwide. 114 The most notable and deadliest parasites are Plasmodium spp., responsible for malaria infections. 115 The traditional method for diagnosing blood borne parasitic infections is the blood smear examination through optical microscopy (OM).…”

Section: Application Of Ir Spectroscopy For Human Disease Diagnosis Parasitic Infectionsmentioning

confidence: 99%

Infrared Spectroscopy of Blood

et al. 2021

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The magnitude of infectious diseases in the twenty-first century created an urgent need for point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large impact on the ability to test patients with a suspected parasitic, bacteria, fungal, and viral infections. New point-of-care tests need to be highly sensitive, specific, and easy to use and provide results in rapid time. Infrared spectroscopy, coupled to multivariate and machine learning algorithms, has the potential to meet this unmet demand requiring minimal sample preparation to detect both pathogenic infectious agents and chronic disease markers in blood. This focal point article will highlight the application of Fourier transform infrared spectroscopy to detect disease markers in blood focusing principally on parasites, bacteria, viruses, cancer markers, and important analytes indicative of disease. Methodologies and state-of-the-art approaches will be reported and potential confounding variables in blood analysis identified. The article provides an up to date review of the literature on blood diagnosis using infrared spectroscopy highlighting the recent advances in this burgeoning field.

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Section: Application Of Ir Spectroscopy For Human Disease Diagnosis Parasitic Infectionsmentioning

confidence: 99%