Skip to main content

Evaluation of Ficolin-3 deficiency as a risk factor in the development of rheumatic heart disease

Abstract

Objective

Ficolin-3 is a crucial protein for the activation of the complement system. Previous work has indicated this protein may play a role in the pathogenesis of rheumatic heart disease (RHD), and it has been hypothesised that ficolin-3 has potential as a biomarker for early identification of patients with suspected RHD. This study investigated FCN3 gene polymorphisms rs532781899 (c.349del) and rs4494157 (c.658 + 250 C > A) and ficolin-3 serum concentrations in an ethnically diverse cohort of 53 RHD cases and 45 healthy controls from across Africa.

Results

Ficolin-3 was found to be increased by 16% in RHD patients (p = 0.03) compared to controls, but polymorphisms did not associate with the risk of developing RHD nor with ficolin-3 concentrations. Carriers of the c.349del haploinsufficiency locus had normal levels of ficolin-3, while the previously described c.658 + 250 C > A RHD susceptibility locus was found equally in cases and controls. The higher serum ficolin-3 in RHD supports the potential role of this protein in RHD pathogenesis. However, these results suggest that rs532781899 and rs4494157 are not risk factors for the development of RHD in patients from sub-Saharan Africa and would not be reliable as early-stage markers of RHD susceptibility.

Peer Review reports

Introduction

Rheumatic heart disease (RHD) is a long-term complication of rheumatic fever (RF) which is a sequel of recurrent Streptococcus pyogenes (group A streptococcus) infection [1]. While not completely understood, the pathobiology involves a complex autoimmune reaction, particularly in genetically susceptible individuals [2]. Characterised by chronic valvular lesions, RHD is the one of the most prevalent causes of acquired heart disease in children, adolescents, and young adults in lower-income countries [3].

Accurate diagnosis of RHD is a particularly critical issue, since early identification of RHD allows secondary prophylactic penicillin use, preventing recurrent exposure and further damage to heart valves [4]. However, in low-resourced settings, access to echocardiography, the gold standard for diagnosing RHD, is a challenge in terms of costs and technically competent staff. Furthermore, it relies on criteria that must balance sensitivity and specificity and, as such, invariably remains imperfect at diagnostic categorisation [5].

In ongoing efforts to identify clinical biomarkers, Salie et al. (2022) proposed a proteomic signature of severe RHD, developed using mass spectrometry, in an African cohort. Amongst the differentially expressed proteins, ficolin-3 was significantly reduced by 43% in cases compared to controls [6]. This reduction in serum ficolin-3 levels is hypothesised to stem from a prolonged inflammatory process following episodes of acute RF. Alternatively, it might be attributed to an inherent genetic predisposition leading to lower ficolin-3 levels [7].

Knowledge of the genetics of ficolin-3 is limited and conflicting. The intronic variant rs4494157 (c.658 + 250 C > A) was associated with increased ficolin-3 levels and susceptibility to both RF and RHD in an Egyptian cohort [7]. However, no genetic associations were found in a Brazilian study [8], where ficolin-3 was lower in RHD compared to controls. Furthermore, a frameshift deletion rs532781899 (c.349del) is a well characterised ficolin-3 deficiency locus– with a 50% reduction in ficolin-3 in European heterozygotes and complete deficiency in homozygotes [9,10,11]. Although identified in an immunodeficiency cohort [11], the role of this variant in RHD and other diseases is unclear [8].

Here, we investigated whether FCN3 single-nucleotide polymorphisms (SNPs) are associated with ficolin-3 levels in African adolescents with RHD. We additionally sought to validate the in-silico findings that suggested a potential clinical utility for ficolin-3 as a biomarker for RHD.

Methods.

Participants with severe RHD were recruited, as previously described [12], from peri-urban settings across the African continent, along with ethnically and age-matched controls having no previous evidence of heart disease. Participants were eligible for inclusion in this study if they were between the ages of 10 and 23 years, and if both DNA and serum samples were available. Echocardiography was conducted to confirm the diagnosis of RHD.

Two FCN3 SNPs were genotyped using Sanger sequencing: the FCN3 deficiency variant rs532781899 (c.349del) in exon 5, and the reported RHD susceptibility locus rs4494157 (c.658 + 250 C > A) in intron 7. These variants of interest were amplified in each participant by polymerase chain reaction and subsequently sequenced using the BigDye™ Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems™, USA). The Human Ficolin-3 ELISA kit was used to determine the circulating serum ficolin-3 concentration in the serum of participants. The assay was completed in duplicate and according to the manufacturer’s instructions (Assay Genie, Ireland).

Statistical analysis was performed using GraphPad Prism 10.0.2 (GraphPad Software, USA). Normality distribution of the variables was assessed using the Shapiro-Wilk test. Nonparametric Mann-Whitney and Kruskal-Wallis tests were used to compare differences in ficolin-3 concentration between the experimental groups. Differences between genotypes in cases and controls were measured using Chi-squared or Fisher exact tests, as appropriate. For all results, p-values less than 0.05 were considered significant.

Results and discussion

Fifty-three patients with severe RHD (age range: 10 to 23 years) and 45 healthy controls (age range: 16 to 23 years) from countries across Africa were included in this study (Table 1). Genotyping revealed that both SNPs were present in the study population and did not deviate from Hardy-Weinberg equilibrium (p > 0.05). Neither rs532781899 nor rs4494157 correlated with RHD disease status (Table 1) or serum ficolin-3 levels (Fig. 1).

Table 1 Characteristics and FCN3 genotypes of the study population
Fig. 1
figure 1

Distribution of serum ficolin-3 concentrations by genotype in cases and controls. The distributions of ficolin-3 concentrations were compared within genotypes using Mann-Whitney U tests. P-values < 0.05 was considered significant. ns, not significant

The FCN3 frameshift deletion rs532781899 was detected at similar proportions in RHD cases and healthy controls, indicating that it is unlikely to be a risk factor for the disease in our setting. This variant occurs in exon 5 of FCN3, where it causes premature termination of the coding transcript and a truncated ficolin-3 protein product (p.Leu117SerfsTer66) which lacks the fibrinogen-like domain. It is thought that this polymorphism disrupts the possibility for pathogen recognition [13]. In attempts to produce the recombinant protein with the alteration, the protein could not be expressed, suggesting that this variant leads to ficolin-3 deficiency [13]. Notably, four participants in this cohort were identified as carriers of the rs532781899 deletion and were not found to have any significant reduction in serum ficolin-3 concentration, contrary to the previously described effect of the polymorphism in heterozygous carriers [11, 13]. No homozygous carriers of this deletion were detected in the cohort.

The variant rs4494157 was detected in both patients and controls. This variant is located in intron 7 of FCN3, an intron that is thought to have characteristics of an enhancer region [14]; thus, variation in this region may affect gene expression through epigenetic modifications of CpG islands and histones. The A allele has been suggested to be a risk factor for the progression of RF to RHD [7]. Notably, the only two participants with the A/A genotype in our cohort were patients with severe RHD. However, this was statistically insignificant (p > 0.05). Thus, no valuable conclusions could be drawn regarding the association of this genotype with the disease state and its role as a potential risk factor.

The lack of an association between the genotypes of the investigated FCN3 polymorphisms and RHD in this study suggests that these two SNPs (rs532781899 and rs4494157) do not influence susceptibility to RHD. Thus, our findings align more closely with what has been previously described in RF and RHD patients originating from Brazil, where no associations were found between the disease state and the genotypic distributions of the SNPs [8].

Ficolin-3 is the most abundant ficolin in sera and an integral component of the innate immune system, contributing to the host’s first line of defence against infections [15,16,17]. In the complement system, ficolin-3 forms complexes with mannose-binding lectin-associated serine proteases 1 and 2 to cleave complement components 4 and 2 to produce C3 convertase C4b2a, which thereby drives the activation of the pathway [16, 18]. This role in innate immunity, together with our previous identification of ficolin-3 as differentially expressed in RHD [6], makes Ficolin-3 an attractive potential biomarker of RHD. The serum ficolin-3 concentration was approximately 16% higher in RHD patients than in healthy controls in this study (Table 1).

While significant, this association is contrary to our prior in-silico predictions from the RHDGen study, which showed a reduction in ficolin-3 levels in patients with severe RHD compared to controls [6]. This may be explained by the larger cohort used in the in-silico analysis (215 patients and 230 controls), with no restriction on the age of participants. Thus, the higher ficolin-3 levels observed in our cohort could be attributed to the younger age of the participants with, possibly, earlier stages of disease progression. At this stage of the disease, maintained compensatory mechanisms may mitigate the effects of the hypothesised ficolin-3 consumption, which occurs during ongoing inflammation [19], while reduced ficolin-3 may be a characteristic of more severe forms of RHD.

Limitations

The study was limited by the overall low number of participants and incomplete matching of the controls, although the sample size was calculated to give reasonable power (70%) to detect changes in ficolin-3 concentration based on the observed variability. Given the above-mentioned possibility that age may play a role in ficolin-3 levels, improved age-matching may be preferable in future studies to evaluate the role of ficolin-3 as a putative biomarker. As it has been previously reported that these variants are not in linkage disequilibrium [20], we did not consider the effects of variant combinations on disease susceptibility or ficolin-3 concentration. By focusing on two SNPs of interest, this study was unable to consider the role of other variants, or other genomic factors such as post-transcriptional and epigenetic events, in modulating gene expression. These two variants were selected because of their recent reported links to ficolin-3 deficiency and RHD; however, other common FCN3 variants may have functional effects and should be considered. These include rs3813800 which has been associated with pulmonary infections in Chinese tuberculosis patients) [21], rs2504778 which has been associated with hypertension [22], and rs28362807 which formed part of a haplotype associated with elevated Ficolin-3 levels and susceptibility to leprosy [14]. Deeper, unbiased sequencing of FCN3 is needed to elucidate the exact relationship between FCN3 genetic variation, ficolin-3 concentration, and RHD pathogenesis.

Conclusion

These results, although from a small sample, suggest that the FCN3 polymorphisms rs532781899 and rs4494157 are not risk factors in the development of RHD in patients from Africa, and would not be reliable as early-stage markers of RHD susceptibility in an adolescent cohort. The higher serum ficolin-3 in RHD does support the potential role of this protein in RHD pathogenesis, although further research is required.

Data availability

The datasets generated and analysed in the current study are available in the University of Cape Town’s ZivaHub repository, https://doiorg.publicaciones.saludcastillayleon.es/10.25375/uct.28547585.v1.

Abbreviations

ELISA Enzyme:

linked immunosorbent assay

RF:

Rheumatic fever

RHD:

Rheumatic heart disease

SNP:

Single-nucleotide polymorphism

References

  1. Passos LSA, Nunes MCP, Aikawa E. Rheumatic heart valve disease pathophysiology and underlying mechanisms. Front Cardiovasc Med. 2020;7:612716. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fcvm.2020.612716.

    Article  CAS  PubMed  Google Scholar 

  2. Guilherme L, Köhler KF, Postol E, Kalil J. Genes, autoimmunity and pathogenesis of rheumatic heart disease. Ann Pediatr Cardiol. 2011;4(1):13–21. https://doiorg.publicaciones.saludcastillayleon.es/10.4103/0974-2069.79617.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Watkins DA, Johnson CO, Colquhoun SM, Karthikeyan G, Beaton A, Bukhman G, Forouzanfar MH, Longenecker CT, Mayosi BM, Mensah GA, Nascimento BR, Ribeiro ALP, Sable CA, Steer AC, Naghavi M, Mokdad AH, Murray CJL, Vos T, Carapetis JR, Roth GA. Global, regional, and National burden of rheumatic heart disease, 1990–2015. N Engl J Med. 2017;377(8):713–22. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa1603693.

    Article  PubMed  Google Scholar 

  4. Whalley G. Appropriate and early detection of rheumatic heart disease. Australas J Ultrasound Med. 2020;23(1):3–4. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/ajum.12203.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Dougherty S, Khorsandi M, Herbst P. Rheumatic heart disease screening: current concepts and challenges. Ann Pediatr Cardiol. 2017;10(1):39–49. https://doiorg.publicaciones.saludcastillayleon.es/10.4103/0974-2069.197051.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Salie MT, Yang J, Ramírez Medina CR, Zühlke LJ, Chishala C, Ntsekhe M, Gitura B, Ogendo S, Okello E, Lwabi P, Musuku J, Mtaja A, Hugo-Hamman C, El-Sayed A, Damasceno A, Mocumbi A, Bode-Thomas F, Yilgwan C, Amusa GA, Nkereuwem E, Shaboodien G, Da Silva R, Lee DCH, Frain S, Geifman N, Whetton AD, Keavney B, Engel ME. Data-independent acquisition mass spectrometry in severe rheumatic heart disease (RHD) identifies a proteomic signature showing ongoing inflammation and effectively classifying RHD cases. Clin Proteom. 2022;19(1):7. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12014-022-09345-1.

    Article  CAS  Google Scholar 

  7. Gomaa MH, Khidr EG, Elshafei A, Hamza HS, Fattouh AM, El-Husseiny AA, Aglan A, Eldeib MG. The clinical value of ficolin-3 gene polymorphism in rheumatic heart disease. An Egyptian adolescents study. BMC Res Notes. 2021;14(1):36. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13104-021-05450-w.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Catarino SJ, Andrade FA, Bavia L, Guilherme L, Messias-Reason IJ. Ficolin-3 in rheumatic fever and rheumatic heart disease. Immunol Lett. 2021;229:27–31. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.imlet.2020.11.006.

    Article  CAS  PubMed  Google Scholar 

  9. Babaha F, Abolhassani H, Hamidi Esfahani Z, Yazdani R, Aghamohammadi A. A new case of congenital ficolin-3 deficiency with primary immunodeficiency. Expert Rev Clin Immunol. 2020;16(7):733–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/1744666x.2020.1792779.

    Article  CAS  PubMed  Google Scholar 

  10. Michalski M, Świerzko AS, Pągowska-Klimek I, Niemir ZI, Mazerant K, Domżalska-Popadiuk I, Moll M, Cedzyński M. Primary Ficolin-3 deficiency–Is it associated with increased susceptibility to infections? Immunobiology. 2015;220(6):711–3. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.imbio.2015.01.003.

    Article  CAS  PubMed  Google Scholar 

  11. Munthe-Fog L, Hummelshøj T, Honoré C, Madsen HO, Permin H, Garred P. Immunodeficiency associated with FCN3 mutation and ficolin-3 deficiency. N Engl J Med. 2009;360(25):2637–44. https://doiorg.publicaciones.saludcastillayleon.es/10.1056/NEJMoa0900381.

    Article  CAS  PubMed  Google Scholar 

  12. Machipisa T, Chong M, Muhamed B, Chishala C, Shaboodien G, Pandie S, de Vries J, Laing N, Joachim A, Daniels R, Ntsekhe M, Hugo-Hamman CT, Gitura B, Ogendo S, Lwabi P, Okello E, Damasceno A, Novela C, Mocumbi AO, Madeira G, Musuku J, Mtaja A, ElSayed A, Elhassan HHM, Bode-Thomas F, Okeahialam BN, Zühlke LJ, Mulder N, Ramesar R, Lesosky M, Parks T, Cordell HJ, Keavney B, Engel ME, Paré G. Association of novel locus with rheumatic heart disease in black African individuals: findings from the RHDGen study. JAMA Cardiol. 2021;6(9):1000–11. https://doiorg.publicaciones.saludcastillayleon.es/10.1001/jamacardio.2021.1627.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Munthe-Fog L, Hummelshøj T, Ma YJ, Hansen BE, Koch C, Madsen HO, Skjødt K, Garred P. Characterization of a polymorphism in the coding sequence of FCN3 resulting in a Ficolin-3 (Hakata antigen) deficiency state. Mol Immunol. 2008;45(9):2660–6. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.molimm.2007.12.012.

    Article  CAS  PubMed  Google Scholar 

  14. Andrade FA, Beltrame MH, Bini VB, Gonçalves LB, Boldt AB, de Messias-Reason IJ. Association of a new FCN3 haplotype with high ficolin-3 levels in leprosy. PLoS Negl Trop Dis. 2017;11(2):e0005409. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pntd.0005409.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Holmskov U, Thiel S, Jensenius JC. Collections and ficolins: humoral lectins of the innate immune defense. Annu Rev Immunol. 2003;21:547–78. https://doiorg.publicaciones.saludcastillayleon.es/10.1146/annurev.immunol.21.120601.140954.

    Article  CAS  PubMed  Google Scholar 

  16. Beltrame MH, Catarino SJ, Goeldner I, Boldt AB, de Messias-Reason IJ. The lectin pathway of complement and rheumatic heart disease. Front Pediatr. 2014;2:148. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fped.2014.00148.

    Article  PubMed  Google Scholar 

  17. Dunkelberger JR, Song WC. Complement and its role in innate and adaptive immune responses. Cell Res. 2010;20(1):34–50. https://doiorg.publicaciones.saludcastillayleon.es/10.1038/cr.2009.139.

    Article  CAS  PubMed  Google Scholar 

  18. Thiel S. Complement activating soluble pattern recognition molecules with collagen-like regions, mannan-binding lectin, Ficolins and associated proteins. Mol Immunol. 2007;44(16):3875–88. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.molimm.2007.06.005.

    Article  CAS  PubMed  Google Scholar 

  19. Pouw RB, Ricklin D. Tipping the balance: intricate roles of the complement system in disease and therapy. Semin Immunopathol. 2021;43(6):757–71. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00281-021-00892-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Pieczarka C, Andrade FA, Catarino SJ, Lidani KCF, Bavia L, Tizzot R, Skare T, de Messias-Reason IJ. Ficolin-1 and ficolin-3 polymorphisms and susceptibility to rheumatoid arthritis. Autoimmunity. 2020;53(7):400–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/08916934.2020.1809654.

    Article  CAS  PubMed  Google Scholar 

  21. Li Y, You EQ, Lin WH, Liu XN, Shen DP, Zhang XL, Ma DC, Li HM. Association of ficolin-1 and ficolin-3 gene variation and pulmonary tuberculosis susceptibility in a Chinese population. J Clin Lab Anal. 2021;35(4):e23732. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/jcla.23732.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Lu J, Li M, Zhang R, Hu C, Wang C, Jiang F, Yu W, Qin W, Tang S, Jia W. A common genetic variant of FCN3/CD164L2 is associated with essential hypertension in a Chinese population. Clin Exp Hypertens. 2012;34(5):377–82. https://doiorg.publicaciones.saludcastillayleon.es/10.3109/10641963.2012.665538.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors gratefully acknowledge the samples provided by RHDGEN investigators Professors S Ogendo (Kenya, n=14), A Mocumbi (Mozambique, n=2), C Hugo-Hamman (Namibia, n=10), F Bode-Thomas (Nigeria, n=6), M Ntsekhe (Groote Schuur Hospital Cardiac clinic, South Africa, n=11, A ElSayed (Sudan, n=12), E Okello (Uganda, n=12), J Musuku (Zambia, n=16).

Funding

Research reported in this publication was supported by the South African Medical Research Council (SAMRC) under a Self-Initiated Research Grant. LJZ receives support from the South African Medical Research Council through its Division of Research Capacity Development under the Mid-Career Scientist Programme, as well as from the National Research Foundation of South Africa, the UK Medical Research Council (MRC) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement, via the African Research Leader Award (MR/S005242/1). The content and findings reported / illustrated are the sole deduction, view and responsibility of the researcher and do not reflect the official position and sentiments of the SAMRC.

Author information

Authors and Affiliations

Authors

Contributions

MTS, MEE and TFS designed the study. ZP and MTS implemented the study and generated data, with support from KE. ZP, MTS and TFS analysed the data and generated the first draft of the manuscript. LJZ contributed to the clinical aspects of the work. LJZ and MEE supervised the work. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Mark E Engel.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the University of Cape Town Human Research Ethics Committee (reference 310/2013). All participants over the age of 18 years provided written informed consent during recruitment; for participants under 18 years, consent was obtained from a parent or legal guardian. This study was performed in accordance with the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Parker, Z., Salie, M.T., Engel, K. et al. Evaluation of Ficolin-3 deficiency as a risk factor in the development of rheumatic heart disease. BMC Res Notes 18, 205 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13104-025-07251-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13104-025-07251-x

Keywords