Circulating prothymosin alpha and immunoglobulin G3 in acute rheumatic fever and rheumatic heart disease: A case-control study

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The lack of specific diagnostic tests for acute rheumatic fever (ARF) and its consequence rheumatic heart disease (RHD) is a key barrier to effective control of these diseases in low resource settings. Prothymosin alpha (PTA) and immunoglobulin G3 (IgG3) have recently been proposed as ARF biomarkers, although studies of these markers have so far been limited to single populations. Consequently, we evaluated PTA and IgG3 in patients with ARF, RHD and controls from studies set in Pakistan and Uganda.
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Beaton , View ORCID Profile Nicole J. Moreland , View ORCID Profile Emmy Okello , View ORCID Profile Masood Sadiq , View ORCID Profile Tom Parks doi: https://doi.org/10.1101/2025.06.24.25330185 Gul Afshan 1 University of Child Health Sciences, Children’s Hospital Lahore , Lahore, Pakistan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Nicole Tsui 2 Imperial College London , London, UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site Humera Javed 1 University of Child Health Sciences, Children’s Hospital Lahore , Lahore, Pakistan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Humera Javed Tehmina Kazmi 1 University of Child Health Sciences, Children’s Hospital Lahore , Lahore, Pakistan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Emma Ndagire 3 Uganda Heart Institute , Kampala, Uganda Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Emma Ndagire Jafes Pulle 3 Uganda Heart Institute , Kampala, Uganda 4 Makerere University , Kampala, Uganda Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Jafes Pulle Kristin Huse 2 Imperial College London , London, UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Kristin Huse Amelia Lias 2 Imperial College London , London, UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Amelia Lias Shagorika Talukder 2 Imperial College London , London, UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Shagorika Talukder Natalie Lorenz 5 University of Auckland , Auckland, New Zealand Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Natalie Lorenz Reuben McGregor 5 University of Auckland , Auckland, New Zealand Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Reuben McGregor Craig Sable 6 Ochsner Children’s Health Center , New Orleans, LA, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Craig Sable Andrea Z. Beaton 7 Cincinnati Children’s Hospital Medical Center , Cincinnati, OH, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Andrea Z. Beaton Nicole J. Moreland 5 University of Auckland , Auckland, New Zealand Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Nicole J. Moreland Emmy Okello 3 Uganda Heart Institute , Kampala, Uganda 4 Makerere University , Kampala, Uganda Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Emmy Okello Masood Sadiq 1 University of Child Health Sciences, Children’s Hospital Lahore , Lahore, Pakistan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Masood Sadiq For correspondence: t.parks{at}imperial.ac.uk Tom Parks 2 Imperial College London , London, UK 8 University of Oxford , Oxford, UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Tom Parks For correspondence: t.parks{at}imperial.ac.uk Abstract Full Text Info/History Metrics Preview PDF Abstract The lack of specific diagnostic tests for acute rheumatic fever (ARF) and its consequence rheumatic heart disease (RHD) is a key barrier to effective control of these diseases in low resource settings. Prothymosin alpha (PTA) and immunoglobulin G3 (IgG3) have recently been proposed as ARF biomarkers, although studies of these markers have so far been limited to single populations. Consequently, we evaluated PTA and IgG3 in patients with ARF, RHD and controls from studies set in Pakistan and Uganda. Research Letter Acute rheumatic fever (ARF) and its chronic consequence rheumatic heart disease (RHD) are important causes of cardiovascular death and disability across much of the world ( 1 ). Control of these diseases is complicated by the uncertain performance of the Jones’ Criteria ( 2 ) in low resource settings, exacerbated by an absence of specific diagnostic tests for ARF. Prothymosin alpha (PTA) was recently proposed as a key contributor to RHD immunopathogenesis, as well as a putative biomarker discriminating patients with chronic RHD from healthy controls ( 3 ). Therefore we sought to assess whether blood PTA was elevated in patients with ARF or RHD compared to unwell controls, indicating potential as a diagnostic. We compared this to immunoglobulin G3 (IgG3), which was recently shown to be elevated in ARF, as an additional putative biomarker ( 4 ). Our study was approved by institutional review boards at the Children’s Hospital Lahore, Pakistan, and Makerere University, Kampala, Uganda, and the Imperial College London Research Ethics Committee. We undertook a case-control study investigating genetic susceptibility to ARF and RHD at the Children’s Hospital Lahore between August 2019 and March 2022, with an interruption in March 2020 due to COVID-19. Here we focus on serum samples from children and young adults aged 5-21 years attending hospital with ARF, RHD or non-ARF diagnoses obtained from the study after September 2020. For this investigation, we selected 30 individuals with suspected ARF comprising all 16 in the cohort with C-reactive protein (CRP) greater than 1mg/dL and an additional 14 with CRP below this threshold. For comparison, we selected all 12 control individuals with non-ARF diagnoses and CRP greater than 1mg/dL, and 14 non- inflammatory control individuals with CRP less than 1mg/dL matched where possible by age and sex to the inflammatory cases. Finally, we included all four available samples from children with RHD without concurrent ARF giving a total sample of 60 individuals. We measured PTA in duplicate in undiluted sera using a sandwich ELISA kit according to the manufacturer’s instructions (LSBio; Cat. F50952). Total IgG3 was measured in sera diluted up to 1:50,000 using a bead assay according to the manufacturer’s instructions (Merck; Cat. HGAMMAG-301K) ( 5 ). Preceding streptococcal infections were defined based on an anti-streptolysin O titer of greater than 250 IU/ml measured by automated immunoassay (Abbott, USA). Neither group A streptococcal rapid antigen tests nor anti-DNase B titer measurement were available to the study. The mean rank of groups was compared using a Kruskal- Wallis test while specific groups were compared using the Wilcoxon rank-sum test and multivariate analyses were performed by logistic regression in R software (version 4.4). Sample size was determined by the number of samples available at the time of the study rather than a formal power calculation. The median age was 12 years and 37 of 60 were male ( Table 1 ). All 30 suspected ARF cases had evidence of carditis, 22 had arthritis or polyarthralgia, and none had chorea. For analysis, we reclassified the 30 suspected ARF cases using the 2015 Jones’ Criteria ( 2 ), giving 15 definite cases (all recurrent) and 15 possible (11 recurrent) not completely fulfilling the diagnostic criteria. A single individual was excluded due to an invalid IgG3 measurement but otherwise there were no missing data. Total IgG3 was significantly elevated in the definite ARF cases compared to both inflammatory (p=0.006) and non-inflammatory controls (p=0.015; Figure 1a ); however, PTA concentrations were similar across all five groups (p=0.56; Figure 1b ), irrespective of the presence or absence of an inflammatory state. View this table: View inline View popup Download powerpoint Table 1. Characteristics of the Pakistan cohort Download figure Open in new tab Figure 1: Elevation of IgG3 but not PTA in ARF. Distribution across study groups of: (a) IgG3 in serum samples from Pakistan; (b) PTA in serum samples from Pakistan; (c) IgG3 in plasma samples from Uganda; (d) PTA in plasma samples from Uganda. Multivariate logistic regression model based on both cohorts comparing definite ARF (n=25) to the inflammatory and non-inflammatory controls group combined (n=36). Odds ratios and 95% confidence are shown for each one unit increase in: (e) normalized IgG3; (f) normalised PTA. Normalization was performed using a Yeo-Johnson Transformation and models are adjustment was made for age in years, male sex, CRP greater than 1mg/dL and the cohort. OOR, beyond upper limit of detection The previous study detected PTA in plasma rather than serum ( 3 ). Accordingly, to confirm the lack of elevation of PTA in the Pakistan cohort was not due our use of sera, we obtained plasma samples from a previously reported prospective epidemiological study of ARF in two regions of Uganda. That study ran between January 2018 and February 2020, recruiting children aged 3-17 years with suspected ARF ( 6 ). For our analysis, we measured PTA in duplicate in plasma diluted 1:4 and IgG3 in serum diluted 1:50,000 as described above. Across the cohort, the median age was eight years and half were male ( Table 2 ). We included nine individuals with definite ARF (eight with CRP greater than 1mg/dL), 10 controls with known or unknown non-ARF diagnoses (all CRP greater than 1mg/dL), and seven individuals with chronic RHD. Six of the definite ARF cases had carditis while the remaining three had arthritis or polyarthralgia. View this table: View inline View popup Download powerpoint Table 2. Characteristics of the Uganda cohort Overall plasma PTA concentrations in the samples from Uganda (median 0.3ng/mL, IQR 0.18-0.49) were higher than in the serum samples from Pakistan (median 0.17ng/mL, IQR 0.1-0.22); however, plasma PTA concentrations were similar across groups within the Ugandan study (p=0.24; Figure 1c ), as well as in a combined analysis of the two cohorts (p=0.52). While there was no significant difference in median serum IgG3 across groups within the Ugandan study (p=0.59; Figure 1d ), the median IgG3 serum concentration was significantly higher among definite ARF cases compared to controls in a combined analysis (1.63mg/mL vs 1.07mg/mL, p=0.001). Additionally, the relationship between ARF and IgG3 was robust to adjustment for age, sex, cohort and inflammatory status (p=0.004; Figure 1e ), while no such relationship was apparent for PTA (p=0.94; Figure 1f ). In summary, we found blood PTA levels to be similar across ARF, RHD and controls, conflicting with a previous report that found PTA was elevated in RHD compared to healthy controls ( 3 ). In contrast, total IgG3 was elevated in ARF compared to controls, independent of the acute phase response. To our knowledge, this is the first time elevation of IgG3 in ARF has been described outside of New Zealand, although the difference we observed here was less marked than that reported in previous studies ( 4 , 5 ). While our relatively small sample size was a limitation, it was sufficient to replicate the previously observed difference for PTA, and our study benefited from samples from two distinct ARF studies, inclusion of a spectrum of ARF in addition to RHD, a comparison with unwell controls, and use of both serum and plasma. It remains unclear why our findings relating to PTA differ from those in the previous report ( 3 ). However, importantly, we used an updated version of the ELISA kit produced by the same manufacturer, designed to detect PTA at 10-fold lower concentrations than that used in the previous study. Although we have not compared the performance of the two products, it is notable that the version that we used was based on mouse monoclonal rather than rabbit polyclonal capture antibodies. Nonetheless, we only had sera available from Pakistan, while our analyses based on plasma were limited to the smaller Ugandan cohort. Accordingly, it is possible we had insufficient power to detect a difference that was specific to plasma, although it is noteworthy that patients with both definite ARF and chronic RHD from Uganda had lower median concentration of PTA than controls, rendering it unlikely that PTA could form the basis of a diagnostic test. A total of 19 of 24 (79%) children with definite ARF from Pakistan and Uganda had IgG3 above the previously highlighted threshold of 1mg/ml. While this is lower than the proportion reported in the study from New Zealand ( 4 ), there are differences in the clinical characteristics of the cohorts recruited in Uganda, Pakistan and New Zealand, which may explain this discrepancy. Importantly, we used the definition of definite ARF for moderate and high-risk populations from the latest Jones Criteria revision, which included adjustments intended to improve sensitivity ( 2 ). The impact of these criteria was especially apparent in Uganda since four of the nine children in the definite ARF category had polyarthralgia as a standalone major manifestation. It is notable that a higher proportion of children who met the stricter criteria for ARF intended for low-risk populations – 16 of 19 (84%) – had IgG3 above the 1mg/ml threshold, approaching the proportion reported from New Zealand ( 4 ). Although IgG3 is not sufficiently elevated in our analysis to serve as a standalone biomarker, the consistency of our findings from two distinct cohorts with the previous studies from New Zealand is striking, and suggests further work is justified to understand the relationship between the disease and this subclass of antibody. Accordingly, there is a clear need for ongoing work to identify biomarkers for ARF, including measurement of IgG3 and other biomarker candidates in additional cohorts, which we are now undertaking through the Acute Rheumatic Fever Diagnostic Network ( arcdiagnosticnetwork.org ). Contributions TP is the guarantor and accepts full responsibility for the work. TP, MS, EO, NJM, AB, CS and RM conceived the study. GA, NT, HJ, TK, EN, JP, KH, AL, ST and NL acquired the data. GA, NT and TP collated and analysed the data. TP, GA, NT, MS, EO, NJM and AB interpreted the findings. TP wrote the first draft of the manuscript. All authors contributed to and critically revised the manuscript. All authors approved the final version. Funding The study was funded by the BMA Josephine Lansdell Research Grant, the American Heart Association Strategically Focused Research Network Grant, and the Leducq Foundation Acute Rheumatic Fever Biomarker Project. TP also acknowledges funding from the Wellcome Trust [222098/Z/20/Z]. These funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Conflict of Interest The authors declare no conflicts of interest. Data Availability The data that support the findings of this study are available from the corresponding authors upon reasonable request. Note This research was funded in part by the Wellcome Trust [222098/Z/20/Z]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. Acknowledgements We thank the patients and families who participated in the study. We also thank the Acute Rheumatic Fever Diagnostic Network. Footnotes ↵ † T. Parks and M. Sadiq are joint senior authors. References 1. ↵ Karthikeyan G , Ntsekhe M , Islam S , Rangarajan S , Avezum A , Benz A , et al. Mortality and Morbidity in Adults With Rheumatic Heart Disease . JAMA . 2024 ; 332 ( 2 ). 2. ↵ Gewitz MH , Baltimore RS , Tani LY , Sable CA , Shulman ST , Carapetis JR , et al. Revision of the Jones Criteria for the Diagnosis of Acute Rheumatic Fever in the Era of Doppler Echocardiography A Scientific Statement From the American Heart Association . Circulation . 2015 ; 131 ( 20 ): 1806 – 18 . OpenUrl Abstract / FREE Full Text 3. ↵ Passos LSA , Jha PK , Becker-Greene D , Blaser MC , Romero D , Lupieri A , et al. Prothymosin Alpha: A Novel Contributor to Estradiol Receptor Alpha–Mediated CD8 + T-Cell Pathogenic Responses and Recognition of Type 1 Collagen in Rheumatic Heart Valve Disease . Circulation . 2022 ; 145 ( 7 ): 531 – 48 . OpenUrl PubMed 4. ↵ Lorenz N , McGregor R , Whitcombe AL , Sharma P , Ramiah C , Middleton F , et al. An acute rheumatic fever immune signature comprising inflammatory markers, IgG3, and Streptococcus pyogenes-specific antibodies . iScience . 2024 ; 27 ( 8 ): 110558 . OpenUrl PubMed 5. ↵ Chung AW , Ho TK , Hanson-Manful P , Tritscheller S , Raynes JM , Whitcombe AL , et al. Systems immunology reveals a linked IgG3–C4 response in patients with acute rheumatic fever . Immunol Cell Biol . 2020 ; 98 ( 1 ): 12 – 21 . OpenUrl PubMed 6. ↵ Okello E , Ndagire E , Muhamed B , Sarnacki R , Murali M , Pulle J , et al. Incidence of acute rheumatic fever in northern and western Uganda: a prospective, population-based study . Lancet Glob Heal . 2021 ; 9 ( 10 ): e1423 – 30 . OpenUrl View the discussion thread. Back to top Previous Next Posted June 24, 2025. Download PDF Email Thank you for your interest in spreading the word about medRxiv. 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