1. Introduction
Q fever is a globally distributed zoonosis caused by
Coxiella burnetii, an intracellular gamma-proteobacterium belonging to the Coxiellaceae family [
1].
The relevance of this disease lies in several key aspects: (i) it is one of the most common causes of intermediate-duration fever, along with
Rickettsia typhi, cytomegalovirus, and Epstein–Barr virus [
2,
3]; (ii) it can lead to severe manifestations, such as endocarditis [
1]; and (iii) it represents a major public health problem due to its potential to cause large epidemic outbreaks [
4].
The primary route of transmission in humans is the inhalation of contaminated aerosols, which explains its high capacity for dissemination. A discrepancy has been observed between the high seroprevalence of
C. burnetii in the Canary Islands [
5] and the relatively low incidence of clinically diagnosed cases in hospital settings [
3,
4]. Although microbial factors cannot be ruled out, several indirect findings suggest that host-related factors play a significant role in infection susceptibility and disease severity. In this regard, the persistence of fever in some patients despite appropriate antimicrobial treatment, requiring corticosteroid therapy, suggests the involvement of immunological mechanisms.
To explore this hypothesis, we have decided to investigate the role of TLR2 and TLR4 polymorphisms, as well as the potential influence of HLA alleles, in the development of acute Q fever. Specifically, the aim was to identify whether certain TLR2 or TLR4 polymorphisms, or specific HLA-DRB1 alleles, act as risk or protective factors for the development of acute Q fever.
2. Materials and Methods
A total of 38 patients with acute Q fever were prospectively selected. Diagnosis was confirmed using serological methods, based on indirect immunofluorescence antibody titers against phase II Coxiella burnetii antigens [IgG > 1:320 and IgM > 1:80] or seroconversion between paired samples collected during the acute and convalescent phases [2 to 4 weeks apart].
An identical number of potentially exposed controls were selected based on the following criteria: (i) similar occupational exposure and (ii) closest familial exposure. Additionally, HLA typing results from 121 blood donors from Gran Canaria were included for comparison.
In both cases and controls, blood samples were analyzed for the following parameters: HLA class II typing [DRB1] and polymorphisms in TLR2 [Arg753Gln] and TLR4 [Asp299Gly, Thr399Ile]. In the control group, the presence of IgG and IgM antibodies against Coxiella burnetii was also assessed.
Blood samples were collected, and DNA was extracted using an automated extraction method with the Maxwell 16 system [
6]. HLA class II typing was performed using commercial kits [Genprobe] and PCR-SSO techniques on a Luminex platform [
7]. Polymorphisms in TLR genes were analyzed using TaqMan probes and real-time PCR [
8].
Statistical analysis was performed using IBM® SPSS® Statistics, version 24.0 (IBM Corp., Armonk, NY, USA). Qualitative variables were presented as counts and percentages. Associations between categorical variables were assessed using Pearson’s chi-square test for two proportions, or Fisher’s exact test when ≥20% of the expected values were less than five. A p-value < 0.05 was considered statistically significant.
3. Results
The study population consisted of 38 patients with a serological diagnosis of Q fever [12 women and 26 men], with a mean age of 39.2 ± 12 years [range: 14–61 years]. Each case was matched with a control [22 women and 16 men] with a mean age of 44.4 ± 12 years [range: 22–79 years].
Regarding the study of innate immunity genes, no significant differences were observed in the three TLR polymorphisms analyzed. All patients and controls carried the GG allele of the TLR2 Arg753Gln polymorphism. For the TLR4 Asp299Gly polymorphism, only one patient carried the CT allele, whereas this allele was detected in four control samples [2.6% vs. 10.5%]. Lastly, the TLR4 Thr399Ile AG allele was identified in five samples from both patients and controls [13.1%].
However, regarding the study of adaptive immunity, significant differences were observed in HLA class II [DRB1 locus] typing between patients and controls [
Table 1]. In this cohort, an increased frequency of DRB1*04 was found in patients compared to controls [47.3% vs. 28.9%;
p = 0.049, cp = NS]. Similarly, the frequency of the DRB1*16 allele was higher in patients than in controls [7.9% vs. 0%;
p = 0.038, cp = NS]. Conversely, the DRB1*08 allele appeared to have a protective effect, as its frequency was lower in patients compared to controls [2.6% vs. 13.1%;
p = 0.044, cp = NS].
When comparing the frequencies of these three alleles in patients with those observed in a group of 121 healthy blood donors from the same geographic area, similar trends were noted [
Table 2]. The frequencies of DRB1*04 and DRB1*16 were increased in patients, whereas the frequency of DRB1*08 was lower compared to donors. In the case of DRB1*04, the difference between patients and healthy donors reached statistical significance [47.3% vs. 24.8%;
p = 0.014].
4. Discussion
Toll-like receptors [TLRs] are surface proteins found on various immune cells, such as macrophages and dendritic cells, that can recognize structural components of microorganisms. These receptors play a crucial role in pathogen entry into cells and the activation of the immune response. The genes encoding TLRs, particularly TLR-2 and TLR-4, exhibit a high degree of polymorphism. Several studies have linked specific polymorphisms of these genes to variable susceptibility to infectious diseases, including infections caused by classical bacteria, mycobacteria, and other intracellular microorganisms [
9]. However, in the present study, no statistically significant association was found between polymorphisms in TLR-2 and TLR-4, which are involved in
Coxiella burnetii entry into macrophages, and the development of acute Q fever. These findings are consistent with those reported by Everett et al., who also found no statistically significant association between polymorphisms in these genes and susceptibility to Q fever, although their study employed a different methodological design [
10]. This result is particularly striking, as multiple studies using animal models have demonstrated a key role of TLR-2 and TLR-4 in the pathogenesis of
Coxiella burnetii infection [
11,
12,
13].
Antigen presentation to T helper lymphocytes is a key element in the pathogenesis of infectious diseases and plays a crucial role in shaping the host immune response, influencing both protective immunity and susceptibility to infection. Several polymorphisms in the class II HLA system have been associated with increased predisposition to certain infections [
14]. In this study, the allele frequency of the HLA-DRB1 locus was analyzed in patients with acute Q fever and compared with a control group. A higher frequency of the DRB1*04 and DRB1*016 alleles was observed in the patient group compared to the control group, whereas DRB1*08 was less frequent among Q fever patients. However, these differences did not reach statistical significance, likely due to the limited sample size. Nevertheless, when comparing allele frequencies with a representative sample of the general population, statistically significant differences were found in the frequency of DRB1*04, suggesting a potential role of this allele in susceptibility to Q fever. There are limited data in the literature regarding the relationship between HLA-DR expression and
Coxiella burnetii infection. In the study by Helbig et al., HLA-DRB1 frequencies were compared among three groups of Q fever patients: acute, chronic, and chronic fatigue syndrome following Q fever. A higher frequency of HLA-DRB1*11 was observed in the latter group. However, this study did not assess the association between HLA-DRB1 and susceptibility to acute infection [
15].
There is growing evidence supporting the relevance of immunogenetic factors in the etiopathogenesis of Q fever. For instance, Wielders et al. associated a specific polymorphism in the IFNG gene (rs1861493) with milder clinical manifestations in cases of acute Q fever [
16]. However, most studies have focused on elucidating immunogenetic factors associated with the development of chronic Q fever. In this regard, polymorphisms in IL12B, RAB5A, RAB7A, P2RX7, MAP1LC3A, and ATG5 have been linked to an increased likelihood of progressing to chronic Q fever [
17,
18].
The identification of patients carrying the HLA-DRB1*04 allele [and potentially HLA-DRB1*08 and HLA-DRB1*16] could facilitate the selection of individuals eligible for potential Q fever vaccination [
19]. This approach would be particularly relevant for individuals at high risk of infection or those with an increased predisposition to developing localized forms of the disease, such as immunocompromised people and patients with valvular heart disease or aneurysms. Additional studies with a larger sample size will be required to validate the findings of this study.
5. Conclusions
This study found no significant association between TLR2 or TLR4 polymorphisms and susceptibility to acute Q fever. However, differences in HLA-DRB1 allele frequencies—particularly the increased presence of DRB1*04 among patients—suggest a potential role of adaptive immune genetic factors in disease susceptibility. The observed trends warrant further investigation in larger cohorts to clarify the influence of host immunogenetics on acute Q fever risk and to explore their potential relevance for vaccination and risk assessment.
Author Contributions
All authors contributed to the study conception and design. Material preparation and data collection and analysis were performed by J.-M.R.B., J.-L.P.-A. and C.C.-R., O.M.-A., A.T.-R. and C.C.-R. were responsible for the laboratory work. The first draft of the manuscript was written by J.-M.R.B. and J.-L.P.-A. and all authors commented on previous versions of the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Ethical review and approval were waived for this study because no identifiable patient data were used and all analyses were conducted on anonymized datasets.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The datasets generated during and/or analyzed during the current study are not publicly available as they are part of ongoing research and further analyses but are available from the corresponding author on reasonable request.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Ullah, Q.; Jamil, T.; Saqib, M.; Iqbal, M.; Neubauer, H. Q Fever—A Neglected Zoonosis. Microorganisms 2022, 10, 1530. [Google Scholar] [CrossRef]
- Parra-Ruiz, J.; Peña-Monje, A.; Tomás-Jiménez, C.; Parejo-Sánchez, M.I.; Vinuesa-García, D.; Muñoz-Medina, L.; Martínez-Pérez, M.A.; Garcia-Garcia, F.; Hernández-Quero, J. Clinical spectrum of fever of intermediate duration in the south of Spain. Eur. J. Clin. Microbiol. Infect. Dis. 2008, 27, 993–995. [Google Scholar] [CrossRef]
- Vélez-Tobarias, M.; Torres-Vega, A.M.; Carmelo, E.; Morais-Martín, J.; Pérez, J.A.; Gonzalo-Hernández, C.; Clot, G.; Ascaso-Terrén, C. Murine typhus as the leading cause of non-focalized fever in the Canary Islands. Eur. J. Clin. Microbiol. Infect. Dis. 2025, 44, 323–332. [Google Scholar] [CrossRef] [PubMed]
- Pérez-Arellano, J.L.; Rodríguez, C.C.; Gutierrez, C.; Rivero, M.B. Epidemiología de la fiebre Q en España. Rev. Esp. Quim. 2018, 3, 386–405. [Google Scholar]
- Bolaños, M.; Santana, O.E.; Angel-Moreno, A.; Pérez-Arellano, J.L.; Liminana, J.M.; Serra-Majem, L.; Martín-Sánchez, A.M. Seroprevalence of infection by Coxiella burnetii in Canary Islands [Spain]. Eur. J. Epidemiol. 2003, 18, 259–262. [Google Scholar] [CrossRef] [PubMed]
- Foley, C.; O’Farrelly, C.; Meade, K.G. Technical note: Comparative analyses of the quality and yield of genomic DNA from invasive and noninvasive, automated and manual extraction methods. J. Dairy Sci. 2011, 94, 3159–3165. [Google Scholar] [CrossRef] [PubMed]
- Dalva, K.; Beksac, M. HLA typing with sequence-specific oligonucleotide primed PCR [PCR-SSO] and use of the Luminex technology. Methods Mol. Med. 2007, 134, 61–69. [Google Scholar] [PubMed]
- Hamann, L.; Hamprecht, A.; Gomma, A.; Schumann, R.R. Rapid and inexpensive real-time PCR for genotyping functional polymorphisms within the Toll-like receptor-2, -4, and -9 genes. J. Immunol. Methods 2004, 285, 281–291. [Google Scholar] [CrossRef] [PubMed]
- Duan, T.; Du, Y.; Xing, C.; Wang, H.Y.; Wang, R.F. Toll-like Receptor Signaling and Its Role in Cell-Mediated Immunity. Front. Immunol. 2022, 13, 812774. [Google Scholar] [CrossRef] [PubMed]
- Everett, B.; Cameron, B.; Li, H.; Vollmer-Conna, U.; Davenport, T.; Hickie, I.; Wakefield, D.; Vernon, S.; Reeves, W.C.; Lloyd, A.R. Polymorphisms in Toll-like receptors-2 and -4 are not associated with disease manifestations in acute Q fever. Genes Immun 2007, 8, 699–702. [Google Scholar] [CrossRef] [PubMed]
- Zamboni, D.S.; Campos, M.A.; Torrecilhas, A.C.; Kiss, K.; Samuel, J.E.; Golenbock, D.T.; Lauw, F.N.; Roy, C.R.; Almeida, I.C.; Gazzinelli, R.T. Stimulation of toll-like receptor 2 by Coxiella burnetii is required for macrophage production of pro-inflammatory cytokines and resistance to infection. J. Biol. Chem. 2004, 279, 54405–55415. [Google Scholar] [CrossRef] [PubMed]
- Honstettre, A.; Ghigo, E.; Moynault, A.; Capo, C.; Toman, R.; Akira, S.; Takeuchi, O.; Lepidi, H.; Raoult, D.; Mege, J.L. Lipopolysaccharide from Coxiella burnetii is involved in bacterial phagocytosis, filamentous actin reorganization, and inflammatory responses through Toll-like receptor 4. J. Immunol. 2004, 172, 3695–3703. [Google Scholar] [CrossRef] [PubMed]
- Bradley, W.P.; Boyer, M.A.; Nguyen, H.T.; Birdwell, L.D.; Yu, J.; Ribeiro, J.M.; Weiss, S.R.; Zamboni, D.S.; Roy, C.R.; Shin, S. Primary Role for Toll-Like Receptor-Driven Tumor Necrosis Factor Rather than Cytosolic Immune Detection in Restricting Coxiella burnetii Phase II Replication within Mouse Macrophages. Infect. Immun. 2016, 84, 998–1015. [Google Scholar] [CrossRef] [PubMed]
- Medhasi, S.; Chantratita, N. Human Leukocyte Antigen [HLA] System: Genetics and Association with Bacterial and Viral Infections. J. Immunol. Res. 2022, 2022, 9710376. [Google Scholar] [CrossRef] [PubMed]
- Helbig, K.; Harris, R.; Ayres, J.; Dunckley, H.; Lloyd, A.; Robson, J.; Marmion, B.P. Immune response genes in the post-Q-fever fatigue syndrome, Q fever endocarditis and uncomplicated acute primary Q fever. QJM 2005, 98, 565–574. [Google Scholar] [CrossRef] [PubMed]
- Wielders, C.C.H.; Hackert, V.H.; Schimmer, B.; Hodemaekers, H.M.; de Klerk, A.; Hoebe, C.J.P.A.; Schneeberger, P.M.; van Duynhoven, Y.T.H.P.; Janssen, R. Single nucleotide polymorphisms in immune response genes in acute Q fever cases with differences in self-reported symptoms. Eur. J. Clin. Microbiol. Infect. Dis. 2015, 34, 943–950. [Google Scholar] [CrossRef] [PubMed]
- Schoffelen, T.; Textoris, J.; Bleeker-Rovers, C.P.; Amara, A.B.; van Der Meer, J.W.M.; Netea, M.G.; Mege, J.L.; Van Deuren, M.; van De Vosse, E. Intact interferon-γ response against Coxiella burnetii by peripheral blood mononuclear cells in chronic Q fever. Clin. Microbiol. Infect. 2017, 209, e9–e209. [Google Scholar] [CrossRef] [PubMed]
- Jansen, A.F.; Schoffelen, T.; Bleeker-Rovers, C.P.; Wever, P.C.; Jaeger, M.; Oosting, M.; Adriaans, A.; Joosten, L.A.; Netea, M.G.; van Deuren, M.; et al. Genetic variations in innate immunity genes affect response to Coxiella burnetii and are associated with susceptibility to chronic Q fever. Clin. Microbiol Infect. 2019, 631, e11–e15. [Google Scholar] [CrossRef] [PubMed]
- Redden, P.; Parker, K.; Henderson, S.; Fourie, P.; Agnew, L.; Stenos, J.; Graves, S.; Govan, B.; Norton, R.; Ketheesan, N. Q fever—Immune responses and novel vaccine strategies. Future Microbiol. 2023, 18, 1185–1196. [Google Scholar] [CrossRef] [PubMed]
Table 1.
HLA class II typing study (DRB1 locus) between patients and controls.
Table 1.
HLA class II typing study (DRB1 locus) between patients and controls.
DRB1* Alele | Patients 2n = 76 [%] | Controls 2n = 76 [%] | p |
---|
DRB1*01 | 7 [9.21] | 10 [13.3] | |
DRB1*03 | 10 [13.16] | 11 [14.67] | |
DRB1*04 | 18 [26.68] | 11 [14.67] | 0.049; cp = NS |
DRB1*07 | 12 [15.79] | 12 [16] | |
DRB1*08 | 1 [1.32] | 1 [6.67] | 0.044; cp = NS |
DRB1*09 | 2 [2.63] | 0 [0] | |
DRB1*10 | 1 [1.32] | 0 [0] | |
DRB1*11 | 4 [5.26] | 7 [9.33] | |
DRB1*12 | 1 [1.32] | 1 [1.33] | |
DRB1*13 | 12 [15.79] | 11 [14.67] | |
DRB1*14 | 0 | 1 [1.33] | |
DRB1*15 | 5 [6.58] | 6 [8] | |
DRB1*16 | 3 [3.95] | 0 [0] | 0.038; cp = NS |
Table 2.
HLA class II typing study (DRB1 locus) between patients and blood donors.
Table 2.
HLA class II typing study (DRB1 locus) between patients and blood donors.
DRB1* Alele | Patients 2n = 76 [%] | Blood Donors 2n = 242 [%] | p |
---|
DRB1*01 | 7 [9.21] | 20 [8.26] | |
DRB1*03 | 10 [13.16] | 26 [10.74] | |
DRB1*04 | 18 [26.68] | 30 [12.4] | 0.014 |
DRB1*07 | 12 [15.79] | 30 [12.4] | |
DRB1*08 | 1 [1.32] | 8 [3.31] | 0.177 |
DRB1*09 | 2 [2.63] | 0 [0] | |
DRB1*10 | 1 [1.32] | 4 [1.65] | |
DRB1*11 | 4 [5.26] | 28 [11.57] | |
DRB1*12 | 1 [1.32] | 2 [0.83] | |
DRB1*13 | 12 [15.79] | 60 [24.69] | |
DRB1*14 | 0 | 6 [2.48] | |
DRB1*15 | 5 [6.58] | 20 [8.26] | |
DRB1*16 | 3 [3.95] | 8 [3.31] | 0.099 |
| Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).