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Sequence variation of PfEMP1-DBLalpha in association with rosette formation in Plasmodium falciparum isolates causing
Natharinee Horata1, Thareerat Kalambaheti, Alister Craig
1Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand. h_natharinee@hotmail.com
Background:
Rosetting and cytoadherence of Plasmodium falciparum-infected red blood cells have been associated with severity of malaria. ICAM-1 and CD36 are the main host cell receptors, while PfEMP1-DBLalpha is a major parasite ligand, which can contribute to rosette formation. This study is aimed at demonstrating whether the highly polymorphic PfEMP1-DBLalpha sequences occurring among Thai isolates causing severe and uncomplicated malaria are associated with their ability to form rosettes and reflected the clinical outcome of the patients.
Methods:
Two hundred and ninety five PfEMP1-DBLalpha sequences from Thai clinical isolates causing severe and uncomplicated malaria were evaluated by sequencing and direct comparison using the specific text string analysis functions in Microsoft Excel and Perl. The relationships between the PfEMP1-DBLalpha sequences were also analysed by network analysis. The binding abilities of parasitized red blood cells (PRBCs) to CD36, wild type ICAM-1, ICAM-1Kilifi and ICAM-1S22/A under static condition were included.
Results:
Two hundred and eighty one non-identical amino acid sequences were identified (< 95% sequence identity). When the distributions of semi-conserved features (PoLV1-4 and sequence group) within the rosetting domain PfEMP1-DBLalpha were observed, close similarity was found between isolates from the two disease groups. The sequence group 1 representing uncomplicated malaria was significantly different from the sequence group 3 representing the majority of severe malaria (p = 0.027). By using a simple non-phylogenetic approach to visualize the sharing of polymorphic blocks (position specific polymorphic block, PSPB) and cys/PoLV among DBLalpha sequences, the sequence group 1 was split from the other five sequence groups. The isolates belonging to sequence group 5 gave the highest mean rosetting rate (21.31%). However, within sequence group 2 and group 6, the isolates causing severe malaria had significantly higher rosetting rate than those causing uncomplicated malaria (p = 0.014, p = 0.007, respectively).
Conclusion:
This is the first report of PfEMP1-DBLalpha analysis in clinical Thai isolates using semi-conserved features (cys/PoLV and PSPBs). The cys/PoLV group 5 gave the highest rosetting rate. PfEMP1-DBLalpha domains in Thai isolates are highly diverse, however, clinical isolates from severe and uncomplicated malaria shared common sequences.
Insights
This study analyzed Plasmodium falciparum erythrocyte membrane protein 1-DBLalpha (PfEMP1-DBLalpha) sequences from Thai malaria patients. While diverse, specific PfEMP1-DBLalpha features correlate with severe malaria and higher red blood cell rosetting rates.
Area of Science:
- Malariology
- Molecular Parasitology
- Genomics
Background:
- Rosetting and cytoadherence of Plasmodium falciparum-infected red blood cells are linked to malaria severity.
- ICAM-1 and CD36 are key host receptors, and PfEMP1-DBLalpha is a major parasite ligand involved in rosette formation.
Purpose of the Study:
- To investigate if polymorphic PfEMP1-DBLalpha sequences in Thai isolates correlate with rosette formation ability and clinical outcomes in severe vs. uncomplicated malaria.
- To analyze the association between PfEMP1-DBLalpha sequence variations and malaria severity.
Main Methods:
- Sequencing and comparative analysis of 295 PfEMP1-DBLalpha sequences from Thai clinical isolates.
- Network analysis to study sequence relationships.
- Assessment of parasitized red blood cell binding to host receptors (CD36, ICAM-1 variants).
Main Results:
- 281 unique amino acid sequences identified, indicating high PfEMP1-DBLalpha diversity.
- Sequence group 1 (uncomplicated malaria) differed significantly from sequence group 3 (severe malaria).
- Sequence group 5 exhibited the highest rosetting rate (21.31%); severe malaria isolates in groups 2 and 6 showed significantly higher rosetting rates.
Conclusions:
- First report on PfEMP1-DBLalpha analysis in Thai clinical isolates using semi-conserved features.
- PfEMP1-DBLalpha domains are highly diverse in Thai isolates, but common sequences are shared between severe and uncomplicated malaria cases.
- Specific PfEMP1-DBLalpha features, particularly in cys/PoLV group 5, are associated with high rosetting rates.
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