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Amwoma JG, Kituyi S, Wakoli DM, Ochora DO, Chemwor G, Maisiba R, Okore W, Opot B, Juma D, Muok EM, Garges EC, Egbo TE, Nyabuga FN, Andagalu B, Akala HM. Comparative analysis of peripheral whole blood transcriptome from asymptomatic carriers reveals upregulation of subsets of surface proteins implicated in Plasmodium falciparum phenotypic plasticity. Biochem Biophys Rep 2024; 37:101596. [PMID: 38146350 PMCID: PMC10749222 DOI: 10.1016/j.bbrep.2023.101596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 11/17/2023] [Accepted: 11/27/2023] [Indexed: 12/27/2023] Open
Abstract
The molecular mechanism underlying Plasmodium falciparum's persistence in the asymptomatic phase of infection remains largely unknown. However, large-scale shifts in the parasites' gene expression during asymptomatic infections may enhance phenotypic plasticity, maximizing their fitness and leading to the persistence of the asymptomatic infections. To uncover these mechanisms, we aimed to identify parasite genetic factors implicated in asymptomatic infections through whole transcriptome analysis. We analyzed publicly available transcriptome datasets containing asymptomatic malaria (ASM), uncomplicated malaria (SM), and malaria-naïve (NSM) samples from 35 subjects for differentially expressed genes (DEGs) and long noncoding RNAs. Our analysis identified 755 and 1773 DEGs in ASM vs SM and NSM, respectively. These DEGs revealed sets of genes coding for proteins of unknown functions (PUFs) upregulated in ASM vs SM and ASM, suggesting their role in underlying fundamental molecular mechanisms during asymptomatic infections. Upregulated genes in ASM vs SM revealed a subset of 24 clonal variant genes (CVGs) involved in host-parasite and symbiotic interactions and modulation of the symbiont of host erythrocyte aggregation pathways. Moreover, we identified 237 differentially expressed noncoding RNAs in ASM vs SM, of which 11 were found to interact with CVGs, suggesting their possible role in regulating the expression of CVGs. Our results suggest that P. falciparum utilizes phenotypic plasticity as an adaptive mechanism during asymptomatic infections by upregulating clonal variant genes, with long noncoding RNAs possibly playing a crucial role in their regulation. Thus, our study provides insights into the parasites' genetic factors that confer a fitness advantage during asymptomatic infections.
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Affiliation(s)
- Joseph G. Amwoma
- Department of Biological Sciences, University of Embu, Kenya
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Sarah Kituyi
- Department of Biological Sciences, University of Embu, Kenya
- Forgarty International Center of the National Institutes of Health, Bethesda, MD, USA
| | - Dancan M. Wakoli
- Department of Biochemistry and Molecular Biology, Egerton University, Kenya
| | - Douglas O. Ochora
- Department of Biological Sciences, School of Pure and Applied Sciences, Kisii University, Kenya
- DSI/NWU, Preclinical Drug Development Platform, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Gladys Chemwor
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Risper Maisiba
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Winnie Okore
- Department of Biomedical Sciences and Technology, Maseno University, Kenya
| | - Benjamin Opot
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Dennis Juma
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Eric M.O. Muok
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Eric C. Garges
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya
| | - Timothy E. Egbo
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya
| | | | - Ben Andagalu
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Hoseah M. Akala
- United States Army Medical Research Directorate-Africa (USAMRD-A), Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
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Haehner P, Bleidorn W, Hopwood CJ. Examining individual differences in personality trait changes after negative life events. EUROPEAN JOURNAL OF PERSONALITY 2023. [DOI: 10.1177/08902070231156840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
Personality traits can change throughout the entire life span, but people differ in their personality trait changes. To better understand individual differences in personality changes, we examined personal (personality functioning), environmental (environmental changes), and event-related moderators (e.g., perceived event characteristics) of personality trait changes. Therefore, we used a sample of 1069 participants who experienced a negative life event in the last 5 weeks and assessed their personality traits at five measurement occasions over 6 months. Employing preregistered multilevel lasso estimation, we did not find any significant effects. While exploratory analyses generally confirmed this conclusion, they also identified some effects that might being worth to be considered in future research (e.g., perceived impact and perceived social status changes were associated with changes in agreeableness after experiencing a relationship breakup). In total, our moderators explained less than 2% of variance in personality traits. Nonetheless, our study has several important implications for future research on individual differences in personality change. For example, future research should consider personal, environmental, and event-related moderators, use different analytical methods, and rely on highly powered samples to detect very small effects.
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Affiliation(s)
- Peter Haehner
- Department of Psychology, Ruhr University Bochum, Bochum, Germany
| | - Wiebke Bleidorn
- Department of Psychology, University of Zurich, Zurich, Switzerland
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