Analisis Molekuler Keberadaan Patogen Malaria pada Sampel Klinis dari Labkesda Aceh Barat Berbasis Real-Time PCR

Siti Aisyah; Arif Sardi; Raudah Hayatillah; Abidah Nur; Veny Wilya

doi:10.36312/biocaster.v6i2.1200

Authors

Siti Aisyah Program Studi Biologi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Ar-Raniry, Jalan Syeikh Abdur Rauf, Banda Aceh, Aceh 23111, Indonesia
Arif Sardi Program Studi Biologi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Ar-Raniry, Jalan Syeikh Abdur Rauf, Banda Aceh, Aceh 23111, Indonesia
Raudah Hayatillah Program Studi Biologi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Ar-Raniry, Jalan Syeikh Abdur Rauf, Banda Aceh, Aceh 23111, Indonesia
Abidah Nur Laboratorium Kesehatan Masyarakat Banda Aceh, Jalan Biomedis Nomor 9, Aceh Besar, Aceh 23371, Indonesia
Veny Wilya Laboratorium Kesehatan Masyarakat Banda Aceh, Jalan Biomedis Nomor 9, Aceh Besar, Aceh 23371, Indonesia

DOI:

https://doi.org/10.36312/biocaster.v6i2.1200

Keywords:

Malaria, Low Parasitemia, Plasmodium knowlesi, Real-Time PCR

Abstract

Malaria remains a public health problem in pre-elimination areas, primarily due to the increase in cases with low parasitemia, which often go undetected by microscopic examination and potentially maintain hidden transmission. This study aims to identify the presence of malaria pathogens in clinical samples from the West Aceh Regional Health Laboratory (Labkesda) using real-time Polymerase Chain Reaction (qPCR) as a molecular confirmation approach. This study employed a quantitative descriptive design based on diagnostic surveillance. Dried Blood Spot (DBS) samples from patients exhibiting malaria symptoms were analyzed at the Banda Aceh Public Health Laboratory (Labkesmas). The results showed that four of the five samples tested positive for Plasmodium, and all were identified as Plasmodium knowlesi with Ct values <40. This finding indicates the presence of malaria infections that could potentially go undetected by conventional microscopy. Thus, qPCR has the potential to be a sensitive confirmation method to support malaria case detection in surveillance activities.

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