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Lekpor CE, Botchway FA, Driss A, Bashi A, Abrahams AD, Kusi KA, Futagbi G, Alema-Mensah E, Agbozo W, Solomon W, Harbuzariu A, Adjei AA, Stiles JK. Circulating biomarkers associated with pediatric sickle cell disease. Front Mol Biosci 2024; 11:1481441. [PMID: 39749215 PMCID: PMC11694143 DOI: 10.3389/fmolb.2024.1481441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Accepted: 10/30/2024] [Indexed: 01/04/2025] Open
Abstract
Introduction Sickle cell disease (SCD) is a genetic blood disorder caused by a mutation in the HBB gene, which encodes the beta-globin subunit of hemoglobin. This mutation leads to the production of abnormal hemoglobin S (HbS), causing red blood cells to deform into a sickle shape. These deformed cells can block blood flow, leading to complications like chronic hemolysis, anemia, severe pain episodes, and organ damage. SCD genotypes include HbSS, HbSC (HbC is an abnormal variant of hemoglobin), and HbS/β-thalassemia. Sickle cell trait (SCT), HbAS, represents the carrier state, while other hemoglobin variants include HbCC, HbAC, and the normal HbAA. Over 7.5 million people worldwide live with SCD, with a high mortality rate in sub-Saharan Africa, including Ghana. Despite its prevalence, SCD is underdiagnosed and poorly managed, especially in children. Characterized by intravascular hemolysis, SCD leads to oxidative stress, endothelial activation, and systemic inflammation. Identifying circulating blood biomarkers indicative of organ damage and systemic processes is vital for understanding SCD and improving patient management. However, research on biomarkers in pediatric SCD is limited and few have been identified and validated. This study explores specific circulating biomarkers in pediatric SCD in Ghana (West Africa), hypothesizing that inflammatory and neuronal injury markers in children with SCD could predict disease outcomes. Methods Clinical data were collected from 377 children aged 3-8 years with various Hb genotypes, including SCD and SCT, at Korle-Bu Teaching Hospital in Accra, Ghana (2021-2022). A total of 80 age- and sex-matched subjects were identified. A cross-sectional study utilized a multiplexed immunoassay procedure to evaluate serum biomarkers, including cytokines, chemokines, vascular injury markers, systemic inflammation markers, cell-free heme scavengers, brain-derived neurotrophic factor (BDNF), and angiogenic factors. Results Elevated levels of BDNF, Ang-2, CXCL10, CCL11, TNF-α, IL-6, IL-10, IL12p40, ICAM-1, VCAM-1, Tie-2, and VEGFA were observed in HbSS subjects, correlating with hemoglobin level, leukocyte, and erythrocyte counts. Heme scavengers like HO-1, hemopexin, and haptoglobin also correlated with these parameters. ROC and AUC analyses demonstrated the potential of these biomarkers in predicting SCD outcomes. Conclusion These findings suggest that there are significant differences between biomarker expression among the different genotypes examined. We conclude that a predictive algorithm based on these biomarkers could be developed and validated through longitudinal assessment of within-genotype differences and correlation of the data with disease severity or outcomes. With such a tool one can enhance SCD management and improve patient outcomes. This approach may pave the way for personalized interventions and better clinical care for pediatric SCD patients.
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Affiliation(s)
- Cecilia Elorm Lekpor
- Department of Microbiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA, United States
- Department of Pathology, Korle-Bu Teaching Hospital, University of Ghana Medical School, Accra, Ghana
- Department of Animal Biology and Conservation Sciences, University of Ghana, Accra, Ghana
| | | | - Adel Driss
- Department of Physiology, Morehouse School of Medicine, Atlanta, GA, United States
| | - Alaijah Bashi
- Department of Physiology, Morehouse School of Medicine, Atlanta, GA, United States
| | - Afua D. Abrahams
- Department of Pathology, Korle-Bu Teaching Hospital, University of Ghana Medical School, Accra, Ghana
| | - Kwadwo Asamoah Kusi
- Department of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Godfred Futagbi
- Department of Animal Biology and Conservation Sciences, University of Ghana, Accra, Ghana
| | - Ernest Alema-Mensah
- Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, United States
| | - William Agbozo
- Department of Microbiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA, United States
| | - Wesley Solomon
- Department of Microbiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA, United States
| | | | - Andrew A. Adjei
- Department of Pathology, Korle-Bu Teaching Hospital, University of Ghana Medical School, Accra, Ghana
| | - Jonathan K. Stiles
- Department of Microbiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA, United States
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Wang X, Wang L, Lin H, Zhu Y, Huang D, Lai M, Xi X, Huang J, Zhang W, Zhong T. Research progress of CTC, ctDNA, and EVs in cancer liquid biopsy. Front Oncol 2024; 14:1303335. [PMID: 38333685 PMCID: PMC10850354 DOI: 10.3389/fonc.2024.1303335] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 01/04/2024] [Indexed: 02/10/2024] Open
Abstract
Circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and extracellular vehicles (EVs) have received significant attention in recent times as emerging biomarkers and subjects of transformational studies. The three main branches of liquid biopsy have evolved from the three primary tumor liquid biopsy detection targets-CTC, ctDNA, and EVs-each with distinct benefits. CTCs are derived from circulating cancer cells from the original tumor or metastases and may display global features of the tumor. ctDNA has been extensively analyzed and has been used to aid in the diagnosis, treatment, and prognosis of neoplastic diseases. EVs contain tumor-derived material such as DNA, RNA, proteins, lipids, sugar structures, and metabolites. The three provide different detection contents but have strong complementarity to a certain extent. Even though they have already been employed in several clinical trials, the clinical utility of three biomarkers is still being studied, with promising initial findings. This review thoroughly overviews established and emerging technologies for the isolation, characterization, and content detection of CTC, ctDNA, and EVs. Also discussed were the most recent developments in the study of potential liquid biopsy biomarkers for cancer diagnosis, therapeutic monitoring, and prognosis prediction. These included CTC, ctDNA, and EVs. Finally, the potential and challenges of employing liquid biopsy based on CTC, ctDNA, and EVs for precision medicine were evaluated.
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Affiliation(s)
- Xiaoling Wang
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
| | - Lijuan Wang
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
| | - Haihong Lin
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
| | - Yifan Zhu
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
| | - Defa Huang
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Mi Lai
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Xuxiang Xi
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Junyun Huang
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
| | - Wenjuan Zhang
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
| | - Tianyu Zhong
- Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
- The First School of Clinical Medicine, Gannan Medical University, Ganzhou, China
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