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Article

Immunogenetic Markers Definition in Latvian Patients with Lyme Borreliosis and Lyme Neuroborreliosis

1
Institute of Food Safety, Animal Health and Environment BIOR, Riga LV-1076, Latvia
2
Laboratory of Clinical Immunology and Immunogenetic, Riga Stradiņš University, Riga LV-1067, Latvia
3
Department of Family Medicine, Riga Stradiņš University, Riga LV-1067, Latvia
4
Centre for Disease Prevention and Control of Latvia, Riga LV-1005, Latvia
5
Department of Infectious Diseases, Medical University of Silesia, 40-055 Katowice, Poland
6
Department of Infectology and Dermatology, Riga Stradiņš University, Riga LV-1006, Latvia
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2016, 13(12), 1194; https://doi.org/10.3390/ijerph13121194
Submission received: 3 October 2016 / Revised: 16 November 2016 / Accepted: 22 November 2016 / Published: 1 December 2016
(This article belongs to the Section Global Health)

Abstract

:
The aim of this study was to determine the human leukocyte antigen (HLA)-DRB1 alleles in two groups of patients in Latvia: patients with Lyme borreliosis and patients with Lyme neuroborreliosis. The study included 216 patients with Lyme borreliosis, 29 patients with Lyme neuroborreliosis and 282 control persons. All surveyed persons were residents of Latvia. The HLA-DR genotyping was performed by polymerase chain reaction- sequence specific primer (PCR-SSP). The predisposition to the Lyme borreliosis is associated with the HLA-DRB1*07, -DRB1*17(03), -DRB1*04, -DRB1*15(02) alleles. The allele -DRB1*11(05), -DRB1*14(06) and -DRB1*13(06) were significantly more frequent in controls. In-group with Lyme neuroborreliosis differences were found for the -DRB1*07 and -DRB1*04 alleles, but only HLA-DRB1*07 allele was statistically significant after Bonferroni correction and associated with Lyme neuroborreliosis in Latvian patients.

1. Introduction

Lyme disease (LD, Lyme borreliosis) is the most prevalent vector-borne disease in Europe and the United States [1]. At present LD is considered as a natural foci, infectious, multisystem disease with complex pathogenesis, including a complex of immune-mediated reactions [2].
Different clinical manifestations of Lyme disease were known long time ago and were described as independent illnesses, or as syndromes of unclear etiology: chronic erythema migrans, erythema Afcelius, tick-borne erythema annulare, acrodermatitis, chronic athrophic acrodermatitis, lymphadenosis of the skin, serous meningitis, radiculoneuritis, Banwarth’s syndrome, or chronic arthritis. In 1981 the spirochetal etiology of these manifestations was established, which led to the conception of the disease as a nosological form of different clinical manifestations [3].
Until recent time, the causative agent of Lyme disease was considered to be a single borrelia species—Borrelia burgdorferi. However, some differences in protein content of Borrelia isolates from different natural foci allowed us to suggest that by etiology Lyme-borreliosis is heterogeneous [4,5,6]. At present 10 genome groups have been identified, relating to the complex Borrelia burgdorferi sensu lato, which are unevenly distributed along the globe [7,8,9]. In Europe and Asia there have been identified groups such as В. burgdorferi sensu stricto, В. garinii, В. garinii (type NT29), В. afzelii, В. valaisiana (group VS116), В. lusitaniae (group PotiB2), B. japonica, В. tanukii and В. turdae, but in Аmerica, the groups B. burgdorferi s.s., B. andersonii (group DN127), 21038, CA55 and 25015 have been found. As to the discovery of B. japonica in Japan, it is, apparently, nonpathogenic for humans. It is worth mentioning, that at present, the pathogenic potential of the group VS116 (В. valaisiana) is also not clear.

1.1. Impact of Borrelia Diversity on Pathogenicity and Clinical Symptoms

Results of different studies and clinical observations of the last years allow us to suggest that the characteristics of organ damage of a patient depend on the species of Borrelia [10,11]. The data have been obtained by finding an association between B. garinii and neurological exposures, B. burgdorferi s.s. and Lyme-arthritis, and B. afzelii and chronic atrophic dermatitis. Thus, the observed differences in the clinical picture of Lyme disease show that the patient may have basically genetic heterogeneity of the complex B. burgdorferi sensu lato in different nosoareal sites of this infection [12].

1.2. The Vector (Ixodes)

Lyme borreliosis is transmitted by ticks of the Ixodes ricinus complex. Considering these facts, the term “Lyme Disease” is currently understood as a whole group of etiologically independent Ixodes tick-borne borreliosis. In Europe, the principal vector is I. ricinus, and in Asia it is I. persulcatus [13,14,15]. Notably, both species of Ixodes are common in Latvia.
In 1986 the first case of Lyme borreliosis was registered in Latvia. According to the official statistics, around 300 cases of LB are logged every year (Table 1) [16,17,18]. The largest number of cases was registered in 2010. Moreover, most of the cases of this disease are registered through epidemiological history (attached tick) and presence of clinical signs (erythema migrans), since other means of tick borreliosis diagnosis are still not advanced. This, undoubtedly, does not reflect the real amount of tick borreliosis infections in the country, where cases of Lyme disease have been recorded in all four regions (Kurzeme, Vidzeme, Zemgale, and Latgale) [16,18].
Ixodes ricinus, which can transfer several pathogens simultaneously, is the most widespread tick in Europe [19,20,21,22,23,24]. In Poland, a neighboring country, an increased incidence of Lyme has been also observed over the last decade (Table 1) [20]. The number of people infected in 2009 (8.783 persons) had increased by almost 58% in 2015 (up to 13,870 people), which is higher, according to statistics, than in other European countries.
It is assumed that climate change, with milder winters and a longer growing season, has contributed to the increased incidence in endemic areas over the past three decades [21,22,23,24,25]. Ticks have a long life cycle, including three active life stages (larva, nymph, and adult). In addition, they are able to feed themselves on more than 300 different vertebrate species [24,26]. Moreover, populations of large animals such as deer and wild boar are more numerous in suburban areas around cities in Europe, which has led to the development of populations of mites shifting the natural cycles of transmission of certain pathogens, and, as a consequence, to an increased risk of disease in humans in many European countries [24,25,26,27].
Lyme borreliosis present a serious danger to the human health, because it may result in long-term inability to work and disability. Currently, Lyme disease pathogenesis is not fully understood. The unpredictable character of the disease course, possible severity and duration of disease that determines the further quality of life for the individual, raises concerns. Nevertheless, the question remains: what are the conditions in the process of interaction between micro-and macroorganism set the course of the disease, severity, outcome and complications? The possibility of serious chronic forms of the disease, of course, depends not only on the properties of a virus infection, but also on the genetically determined host reactivity. Because Human Leukocyte Antigen (HLA) molecules are the products of genes of the immune response, significant polymorphisms in these genes may lead to differences in susceptibility and (or) resistance to infection. The aim of this study was to identify disease-associated HLA-DRB1 alleles in Latvian patients with Lyme borreliosis and Lyme neuroborreliosis.

2. Materials and Methods

2.1. Сharacteristics of Persons Participating in the Study

The study included 216 patients with an established diagnosis of Lyme borreliosis and 282 healthy (control) persons. The included patients’ ages ranged from 18 to 68 years. The majority of patients were between 32 and 55 years of age, representing 60.4% of the total studied. The clinical diagnosis was confirmed at the Infectology Center of Latvia. Diagnoses were based on two-step serum immunoglobulin (Ig)M and IgG testing using enzyme-linked immunosorbent assay (ELISA) and immunoblots. In suspected cases of neuroborreliosis, cerebrospinal fluid assays were performed with estimation of B. burgdorferi-specific intrathecal antibody production. The control group consisted of blood donors aged from 18 to 65 years. Most of them, about 65.9%, were 20–35 years of age. According to the European rules on donation, they had been tested in the Riga State donor center. All patients and healthy persons were residents of Latvia.
All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the Riga Stradins University under the number 2012-05-E9-2. The approval was signed by the Chairman of the Committee Dr. Olafs Brūvers and seven members of the committee 31.05.2012.

2.2. HLA Typing

Immunogenetic examinations were performed at the Laboratory of Clinical Immunology and Immunogenetics, Riga Stradinš University. Blood samples (2.5 mL) were collected from the subjects in tubes containing anticoagulant (EDTA) and centrifuged (“Hettich zentrifugen”, mikro 22 R, Tuttlingen, Germany) at 2500 rpm for 15 min, and the Buffy-coat was conserved at −20 °C until use. The genomic DNA was extracted from proteinase-K-treated peripheral blood leukocytes using the routine “salting-out” method [28]. The DNA was stored in tris-EDTA (TE) buffer (10 mL Tris-HCl, pH 7.5, and 2 mL 0.5 M Na2 EDTA per litter of distilled water). The DNA concentration, around 100–200 µg/mL was determined by fluorescence with a DNA fluorimeter.
HLA-DR genotyping by polymerase chain reaction (PCR) with sequence-specific primers (PCR–SSP) for DRB1*01 to DRB1*10 was performed [28,29,30]. The reaction mixture (15 µL) included 1.0 µL DNA, 1.5 µL PCR buffer (50 mM KCl, 1.5 mM MgCl2, 10 mM Tris-HCl (pH 8.3)), 0.6 µL dNTPs (25 mmol/L), 1.0 µL specific primers (0.2 mmol/L), and 0.5 U of the Taq DNA polymerase (Promega, Madison, WI, USA). The reaction mixture was subjected to 45 amplification cycles, each consisting of denaturation cycle at 94 °C (60 s), annealing cycles at 67 °C (40 s), and extension cycles at 65 °C (10 s). PCR products were visualized by agarose-gel electrophoresis [29,30]. After addition of 2 M loading buffer, the PCR reaction mixtures were loaded in agarose gels pre-stained with ethidium bromide (0.5 µL/mL gel). Gels were run for 15 min at 10 V/cm gel in 0.5 mM TBE (0.89 M Tris, 0.89 M boric acid and 0.02 M EDTA in aqueous solution) buffer and then were examined under ultraviolet (UV) illumination and recorded [29,30].

2.3. Statistical Analysis

The significance of differences in individual subtypes between patients and controls were performed using the Chi square test, with the Bonferroni correction, or Fisher’s Exact Test when necessary [31]. Application of Mantel-Haenszel or Yates correction was performed for statistical assessment of the heterogeneity in risk. Data were considered statistically significant when p value was less than or equal to 0.05. Moreover, to account for multiple comparisons, the observed p values were corrected (pc) for the number of alleles when locus was considered alone, thereby increasing the overall stringency of the significance testing. The odds ratios (OR), with 95% confidence intervals (95% CI), were calculated using the Simple Interactive Statistical Analysis (SISA) statistics online (http://home.clara.net/sisa/) website, to evaluate the risk of the individual developing the disease while having a particular HLA type.

3. Results

3.1. Clinical Characteristics of the Patient Group Participating in the Study

Traditionally, all patients were divided into three groups. The first group consisted of patients with stage I of the early period of the disease, when the pathogen gets into the skin after the tick bite (Table 2).
Incubation period was 1–32 days (on average 12 days). The stage was characterized by the development of a complex of inflammatory-allergic changes of the skin in the area of the tick bite, exposed in a specific way, characteristic for Lyme borreliosis-like skin manifestations—erythema (erythema migrans, EM). Erythema migrans was not observed in 16 persons (about 13.6% of the patients). Benign lymphoma of the skin is considered as one of the few clinical manifestations of Lyme’s disease, together with ring-type EM, characterized by a single infiltrate, or dissemination of platelets. Subjects experienced a rather satisfying wellness, showing a weak syndrome of general intoxication. Part of the patients complained of flu-like symptoms, fever, myalgia and arthralgia. In some cases conjunctivitis was observed.
The second group consisted of patients with stage II of the early period, when the introduction of Borrelia in various organs happens. This stage is characterized by high clinical polymorphisms with the possibility of Borrelia to enter into the organs and tissues and cause mono- and polyorgan damage. At the pathogen dissemination stage it was possible to identify the prevalent group of symptoms—neurological, cardiac, mixed—which determines the variant of the clinical process. Specifying the variant of the course of the disease helps us to define the severity of the pathologic process. Time of exposure—1 to 3 (sometimes up to 6) months. Damage of skeletomuscular apparatus was observed, such as arthralgia, tendonitis, bursitis, myalgia, and ostealgia, short attacks of recurrent arthritis, myositis, and panniculitis in 12.2% of the patients, which equals the incidence of B. burgdorferi sensu stricto.
The signs of the damage to the central and peripheral nervous system were observed, such as meningitis, mono- or polyneuritis, cranial-cerebral neuritis, quite often—facial nerve neuritis, movement radiculoneuritis, myeloradiculitis in 25.5% of the patients. All these syndromes can be observed in combinations.
Damage to the cardiovascular system was observed more rarely than the damage to the nervous system, and it does not show any characteristic features. The incidence of the damage to the cardio-vascular system made up 8.9% of the whole group (in Europe 0.2%–8.0%) [4,32]. Quite commonly, skin conditions and neurological symptoms were observed in parallel in some patients. Less common manifestations of borreliosis infection were eye damage: conjunctivitis, eye myositis, keratitis, inflammation of the optical nerve.
The third group included eight patients (3.7% of the total group) with the late disseminated disease stage and incubation periods of more than 6 months. Six persons from the group were diagnosed with neuroborreliosis, mainly, with mono-or polyneuritis, or neuritis of the facial nerve, and two persons with mixed pathologies.
The division of the disease into stages is relative, and can be applied to the disease, if only considered as a whole. Sometimes no stages may be observed at all, in some cases there may be only I stage, but sometimes the disease is exposed by one of the late stage symptoms (Table 2).

3.2. Immunogenetic Examinations of Group with Lyme Borreliosis

Our next step was to identify HLA-DRB1 alleles in two groups of patients: in the total group with LB (Table 3) and the group with LNB (Table 4). Earlier, we have described a DR association in Latvian patients with LB [17], but the study group was not big enough. For the genetic correlations is important that a sufficiently large number of people be included in the study. With the series of 216 patients with LB, the present study is the largest tested to date, while Latvian patients with neuroborreliosis are described for the first time.
Typing of all fourteen alleles DRB1were investigated. The frequency of DRB1* alleles in Latvian patients with Lyme borreliosis and control group are shown in Table 3. The predisposition to the Lyme disease is associated with the HLA-DRB1*07 (odds ratio 1.70; p = 0.021), HLA-DRB1*17(03) (odds ratio 1.55; p = 0.046), HLA-DRB1*04 (odds ratio 1.55; p = 0.046) and HLA-DRB1*15(02) (odds ratio 1.54; p = 0.042) alleles (Table 3). Although, these three differences were no longer significant when the pc value was corrected for the number of alleles (Table 3).
Moreover, the allele -DRB1*11 (odds ratio 0.38; p = 0.0004), -DRB1*14 (odds ratio 0.51; p = 0.048) and -DRB1*13 (odds ratio 0.55; p = 0.025) was rarer in borreliosis patients and significantly more frequent in controls. For -DRB1*14 and -DRB1*13 alleles this detected HLA-DRB1 differences were not significant after Bonferroni correction (Table 3). Probably, only HLA-DRB1*11 allele (9.8 percent vs. 3.9 percent; odds ratio 0.38; pc = 0.006) has a protective effect in the pathogenesis of Lyme disease.

3.3. Immunogenetic Examinations of Group with Lyme Neuroborreliosis

Patients with LNB were examined separately. We analyzed a group with LNB, as the majority of Latvian patients have neurological complications (Table 2). The group included 29 persons (23 patients with stage II plus six patients with stage III). All patients had signs of damage to the central and peripheral nervous system. 25.5% expressed painful meningoradiculitis (with inflammation of the nerve roots), quite often—neuritis of the facial nerve, mono- or polyneuritis, often—meningitis, traumatic brain neuritis, and motion radiculoneuritis. All these syndromes can be observed in combination. The distribution of HLA-DRB1* alleles in LNB patients is presented in Table 4.
In the group of patients with the greatest frequency HLA-DRB1*07 and -DRB1*04 alleles (17.2 percent versus 6.6 percent; odds ratio 2.97; p = 0.003; and 15.5 percent against 7.4 percent; odds ratio 2.28; p = 0.033, respectively) were revealed. As well, the frequency of HLA-DRB1*15 allele (odds ratio 2.07; p = 0.060) was higher in LNB patients compared with the controls (Table 4). Despite the fact that the odds ratio in three detected alleles is high enough, the effect of the DRB1*04 and DRB1*15 alleles is controversial, because the value was larger than 0.05 (Table 4).
Only the HLA-DRB1*07 allele was statistically significant after applying the Bonferroni correction associated with Lyme neuroborreliosis in Latvian patients (odds ratio 2.97; pc = 0.041) (Table 4). Otherwise, the frequencies of HLA-DRB1*14 (06) and -DRB1*11(05) (odds ratio 0.31; p = 0.193; and, odds ratio 0.33; p = 0.113, respectively) were lower in LNB patients (Table 3). This data suggest that HLA-DRB1 molecules may have a considerable effect on susceptibility/or protection to Lyme neuroborreliosis.

4. Discussion

One of the most important currently unsolved problems is the study of peculiarities of interrelationship of the body and pathogenic genotypes of Burgdorferi s.l. [32,33]. Due to this, special interest is paid to the analysis of one of the basic systems of the body, controlling the immune response, HLA, including identification of possible associations with HLA genotypes of clinical features of Lyme disease.
Genetic investigations, conducted with adult patients with Lyme-caused arthritis, showed that molecules of the major histocompatibility complex (MHC) class II—DR2 and DR4, as well the association with anti-OspA-antibodies suggest a chronic course of arthritis and facilitate antibacterial therapy of low efficacy [34,35,36,37,38,39].
Most of the authors have described microbiological, and genetic characteristics of the very causative agent, and also the questions of pathophysiology of Ixodes tick borreliosis in a more detailed way. The research data are based on the results of experimental biochemical, patho-physiological and molecular-genetic methods of research using visualization methods [40,41,42,43]. In the future it will be important to broaden the diagnostic research, considering the regional peculiarities in the development of Burgdorferi s.l., directed at clarifying pathogenetic mechanisms for the development of Ixodes tick borrelioses, which will help in studying the clinical characteristics and improving the tactics of therapeutic-preventive measures in the mentioned group of diseases.
A special place in studying the immunopathogenesis of Lyme Borreliosis is taken by neuroborreliosis [44,45,46,47,48]. Considering the immunological privilege of the nervous system and suggesting that the high level of proinflammatory cytokines can be the cause of prolonged location of Borrelia in tissues, and in the nervous system too [46,49,50], we can assume that these factors determine the development of chronic neuropathology. Earlier pathogenetic peculiarities of Lyme Borreliosis were described at the early infection stage, associated mainly with a certain amount of viable Borrelia in the inflammation site, while in the late stages the autoimmune mechanisms could contribute to the development of the disease. Long-term exposure of the immune system of the human host to the influence of B. burgdorferi s.l. is known to induce chronic autoimmune diseases [38]. Molecular mimicry is one of the autoimmune mechanisms, provoked by the infection, and can be related to the development of arthritis and myocarditis in case of Lyme disease. Triggering of autoimmune mechanisms, directly or indirectly mediated by B. burgdorferi s.l. on the basis of molecular mimicry is called one of the possible causes of antibiotic-refractory Lyme disease [51].
Alaedini and Latov, investigating the neurological manifestations of the chronic course of Lyme disease, including encephalopathy, myelopathy and peripheral neuropathies, have confirmed the role of autoimmune mechanisms in the development of the disease [52]. They exposed identical sequences of protein OspA (in DNA context), and DNA, isolated from brain tissues of mammalians. Then, taking a human as an example, it was proved that antibodies to two homologous peptides OspA react with neurons in the brain, spinal cord and spinal ganglia, causing the development of autoimmune inflammation in nerve tissue [52,53].
There are only a few data in the scientific literature about the interrelationship between neurological forms of borreliosis with single loci HLA II class. According to the studies on Latvian patients, genetic predisposition plays an essential role in the development of neuroborreliosis, determined by the vector of specific alleles DRB1 loci of HLA system. According to the obtained data, the alleles DRB1*07 and DRB1*04 are risk factors for the development of neuroborreliosis in Latvian patients, while the allele DRB1*07 is prognostically unfavorable from the point of view of the development of severe forms of the disease. Nevertheless, allele DRB1*11 possesses the definite protective factor. Thus, our data provide a possible explanation for the differential regulation of the immune response in patients with DRB1*07, DRB1*04 and DRB1*11 upon Bb-infection; namely, HLA-DRB1*07, and -DRB1*04 would predispose individuals to chronic disease development by generating an inflammatory milieu for Borrelia, while HLA-DRB1*11 would exert a protective role through the production of anti-spirochetal antibodies, which bind to the bacteria and eliminate it.
In such a way, despite the 30-year long experience of studying the peculiarities of the relationship between the causative agent LB, Borrelia burgdorferi s.l., tick transmitters and the host’s body, it shows that our knowledge about the pathogenesis of the mentioned infection remains insufficient, as it does not allow us to understand the essence of the pathologic process in all its details. Therefore, it is necessary to continue research and extend the range of persons under investigation.

5. Conclusions

The risk of developing a chronic form of borreliosis infection is connected with clinical manifestations of the acute period of the disease, the presence of specific risk markers, and also with the timely and adequate choice of the antibiotic used. During the early stages of Lyme’s disease antibiotic therapy is well tolerated, whereas during the later stages the therapy takes longer and is not always successful.
Genotyping of HLA-DRB1 alleles at the very start of the disease can produce valuable prognosis in the development of the disease and the choice of the most optimal therapy. According to the results, the risk alleles for Latvian LB patients are the HLA-DRB1*07, -DRB1*17(03), -DRB1*04 and -DRB1*15(02) alleles, whereas, the development of severe forms of neuroborreliosis is strongly associated with the HLA-DRB1*07 allele. In contrast, the HLA-DRB1*11 allele has a certain protective effect in the pathogenesis of LB. The data obtained may find use in clinical practice for prediction of possible severe disease form development in patients with a certain HLA-genotype.

Acknowledgments

This work was supported by the European Social Fund (ESF) project “Support for doctoral study program and scientific degree receiving in Riga Stradiņš University, agreement No. 2009/0147/1DP/1.1.2.1.2/09/IPIA/VIAA/009”.

Author Contributions

Lilija Kovalchuka carried out the HLA typing and drafted the manuscript. Svetlana Cvetkova participated in the design of the study and performed the statistical analysis. Julija Trofimova, Barbara Oczko-Grzesik described epidemiological data and performed the statistical analysis. Jelena Eglite, Sandra Gintere, Irina Lucenko, Angelika Krumina enrolled patients in study and keep clinical and laboratory database. Ludmila Viksna conceived of the study, participated in its design, and performed scientific literature resources. Angelika Krumina participated in the design of the study, coordination and helped to draft the manuscript. All authors read and approved the final version of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Piesman, J.; Gern, L. Lyme borreliosis in Europe and North America. Parasitology 2004, 129, 191–220. [Google Scholar] [CrossRef]
  2. Stanek, G.; Wormser, G.P.; Gray, J.; Strle, F. Lyme borreliosis. Lancet 2012, 379, 461–473. [Google Scholar] [CrossRef]
  3. Iwao, M. Moriyam History of the Statistical Classification of Diseases and Causes of Death. Available online: http://www.cdc.gov/nchs/data/misc/classification_diseases2011.pdf (accessed on 12 July 2016).
  4. Gray, J.; Kahl, O.; Lane, R.S.; Stanek, G. Lyme Borreliosis Biology, Epidemiology and Control; CABI: Wallingford, UK, 2002; p. 480. [Google Scholar]
  5. Schorn, S.; Pfister, K.; Reulen, H.; Mahling, M.; Silaghi, C. Occurrence of Babesia spp., Rickettsia spp. and Bartonella spp. in Ixodes ricinus in Bavarian public parks, Germany. Parasites Vectors 2011, 4. [Google Scholar] [CrossRef] [PubMed]
  6. Wielinga, P.R.; Gaasenbeek, C.; Fonville, M.; de Boer, A.; de Vries, A.; Dimmers, W. Longitudinal analysis of tick densities and Borrelia, Anaplasma, and Ehrlichia infections of Ixodes ricinus ticks in different habitat areas in The Netherlands. Appl. Environ. Microbiol. 2006, 72, 7594–7601. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Skuballa, J.; Petney, T.; Pfäffle, M.; Oehme, R.; Hartelt, K.; Fingerle, V. Occurrence of different Borrelia burgdorferi sensu lato genospecies including B. afzelii, B. bavariensis, and B. spielmanii in hedgehogs (Erinaceus spp.) in Europe. Ticks Tick Borne Dis. 2011, 3, 8–13. [Google Scholar] [CrossRef] [PubMed]
  8. Paulauskas, A.; Ambrasiene, D.; Radzijevskaja, J.; Rosef, O.; Turcinaviciene, J. Diversity in prevalence and genospecies of Borrelia burgdorferi sensu lato in Ixodes ricinus ticks and rodents in Lithuania and Norway. Int. J. Med. Microbiol. 2008, 298, 180–187. [Google Scholar] [CrossRef]
  9. Margos, G.; Vollmer, S.A.; Ogden, N.H.; Fish, D. Population genetics, taxonomy, phylogeny and evolution of Borrelia burgdorferi sensu lato. Infect. Genet. Evol. 2011, 11, 1545–1563. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Wormser, G.P.; Brisson, D.; Liveris, D.; Hanincová, K.; Sandigursky, S.; Nowakowski, J.; Nadelman, R.B.; Ludin, S.; Schwartz, I. Borrelia burgdorferi genotype predicts the capacity for hematogenous dissemination during early Lyme disease. J. Infect. Dis. 2008, 198, 1358–1364. [Google Scholar] [CrossRef] [PubMed]
  11. Casjens, S.R.; Mongodin, E.F.; Qiu, W.G.; Luft, B.J.; Schutzer, S.E.; Gilcrease, E.B.; Huang, W.M.; Vujadinovic, M.; Aron, J.K.; Vargas, L.C.; et al. Genome stability of Lyme disease spirochetes: Comparative genomics of Borrelia burgdorferi plasmids. PLoS ONE 2012, 7, e33280. [Google Scholar] [CrossRef] [PubMed]
  12. Benach, J.L.; Garcia-Monco, J.C. The worldwide saga of Lyme borreliosis. In Borrelia. Molecular Biology, Host Interaction and Pathogenesis; Caister Academic Press: Norwich, UK, 2010; pp. 7–26. [Google Scholar]
  13. Heyman, P.; Cochez, C.; Hofhuis, A.; van der Giessen, J.; Sprong, H.; Porter, S.R.; Losson, B.; Saegerman, C.; Donoso-Mantke, O.; Niedrig, M.; et al. A clear and present danger: Tick-borne diseases in Europe. Expert Rev. Anti-Infect. Ther. 2010, 8, 33–50. [Google Scholar] [CrossRef] [PubMed]
  14. Salman, M.; Tarrés-Call, J. Ticks and Tick-Borne Diseases. In Geographical Distribution and Control Strategies in the Euro-Asia Region; CABI: Wallingford, UK, 2013; p. 292. [Google Scholar]
  15. Medlock, J.M.; Hansford, K.M.; Bormane, A.; Derdakova, M.; Estrada-Peña, A.; George, J.-C. Driving forces for changes in geographical distribution of Ixodes ricinus ticks in Europe. Parasites Vectors 2013, 6, 1. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Arsa, F.; Bormane, A.; Krumiņa, A. Tick-borne encephalitis and Lyme borreliosis in Latvia: Epidemiological situation in 2007–2009. Abstr. Book ESCAIDE 2010, 173, 20100123. [Google Scholar]
  17. Kovalchuka, L.; Eglite, J.; Lucenko, I.; Zalite, M.; Viksna, L.; Krumiņa, A. Associations of HLA DR and DQ molecules with Lyme borreliosis in Latvian patients. BMC Res. Notes 2012, 5, 438. [Google Scholar] [CrossRef] [PubMed]
  18. Statistical Data on Incidence of Infectious Diseases in Latvia. 2015. Available online: https://www.spkc.gov.lv/lv/statistika-un-petijumi/infekcijas-slimibas/epidemiologijas-bileteni1 (accessed on 22 August 2016).
  19. Randolph, S.E. Tick-borne disease systems emerge from the shadows: The beauty lies in molecular detail, the message in epidemiology. Parasitology 2009, 136, 1403–1413. [Google Scholar] [CrossRef] [PubMed]
  20. “Choroby zakaźne w Polsce”, PZH for Years 2010–2015. Available online: http://wzw.vipserv.org/choroby-zakazne-polsce-2015-roku/ (accessed on 22 August 2016).
  21. Hai, V.V.; Almeras, L.; Socolovschi, C.; Raoult, D.; Parola, P.; Pagès, F. Monitoring human tick-borne disease risk and tick bite exposure in Europe: Available tools and promising future methods. Ticks Tick Borne Dis. 2014, 5, 607–619. [Google Scholar] [CrossRef] [PubMed]
  22. Daniel, M.; Materna, J.; Hönig, V.; Metelka, L.; Danielová, V.; Harčarik, J. Vertical distribution of the tick Ixodes ricinus and tick-borne pathogens in the northern Moravian mountains correlated with climate warming (Jeseníky Mts., Czech Republic). Cent. Eur. J. Public Health 2009, 17, 139–145. [Google Scholar] [PubMed]
  23. Jaenson, T.G.T.; Jaenson, D.G.E.; Eisen, L.; Petersson, E.; Lindgren, E. Changes in the geographical distribution and abundance of the tick Ixodes ricinus during the past 30 years in Sweden. Parasites Vectors 2012, 5, 8. [Google Scholar] [CrossRef] [PubMed]
  24. Junttila, J.; Peltomaa, M.; Soini, H.; Marjamäki, M.; Viljanen, M.K. Prevalence of Borrelia burgdorferi in Ixodes ricinus ticks in urban recreational areas of Helsinki. J. Clin. Microbiol. 1999, 37, 1361–1365. [Google Scholar] [PubMed]
  25. Maetzel, D.; Maier, W.A.; Kampen, H. Borrelia burgdorferi infection prevalences in questing Ixodes ricinus ticks (Acari: Ixodidae) in urban and suburban Bonn, western Germany. Parasitol. Res. 2005, 95, 5–12. [Google Scholar] [CrossRef] [PubMed]
  26. Welc-Faleciak, R.; Kowalec, M.; Karbowiak, G.; Bajer, A.; Behnke, J.M.; Sinski, E. Rickettsiaceae and Anaplasmataceae infections in Ixodes ricinus ticks from urban and natural forested areas of Poland. Parasites Vectors 2014, 7, 121. [Google Scholar] [CrossRef] [PubMed]
  27. Overzier, E.; Pfister, K.; Herb, I.; Mahling, M.; Böck, G.; Silaghi, C. Detection of tick-borne pathogens in roe deer (Capreolus capreolus), in questing ticks (Ixodes ricinus), and in ticks infesting roe deer in southern Germany. Ticks Tick Borne Dis. 2013, 4, 320–328. [Google Scholar] [CrossRef] [PubMed]
  28. Hui, K.M.; Bidwell, J.L. Handbook of HLA Typing Techniques; CRC Press: Boca Raton, FL, USA, 1993; p. 10. [Google Scholar]
  29. Klitz, W.; Maiers, M.; Spellman, S.; Baxter-Lowe, L.A.; Schmeckpeper, B.; Williams, T.M.; Fernandez-Vina, M. New HLA haplotype frequency reference standards: High-resolution and large sample typing of HLA DR-DQ haplotypes in a sample of European Americans. Tissue Antigens 2003, 62, 296–307. [Google Scholar] [CrossRef] [PubMed]
  30. Dunn, P.P.J.; Day, S.; Williams, S.; Bendukidze, N. HLA-DQB1 sequencing-based typing using newly identified conserved nucleotide sequences in intron 1 and 2. Tissue Antigens 2005, 66, 99–106. [Google Scholar] [CrossRef] [PubMed]
  31. Categorical Data Analysis Using the SAS System. Available online: http://www.quantitativeskills.com/sisa/ (accessed on 4 July 2016).
  32. Kalish, R.S.; Wood, J.A.; Golde, W.; Bernard, R.; Davis, L.E.; Grimson, R.C.; Coyle, P.K.; Luft, B.J. Human T lymphocyte response to Borrelia burgdorferi infection: No correlation between human leukocyte function antigen type 1 peptide response and clinical status. J. Infect. Dis. 2003, 187, 102–108. [Google Scholar] [CrossRef] [PubMed]
  33. Maier, B.; Molinger, M.; Cope, A.P.; Fugger, L.; Schneider-Mergener, J.; Sønderstrup, G.; Kamradt, T.; Kramer, A. Multiple cross-reactive self-ligands for Borrelia burgdorferi-specific HLA-DR4-restricted T cells. Eur. J. Immunol. 2000, 30, 448–457. [Google Scholar] [CrossRef]
  34. Kannian, P.; McHugh, G.; Johnson, B.J.; Bacon, R.M.; Glickstein, L.J.; Steere, A.C. Antibody responses to Borrelia burgdorferi in patients with antibiotic-refractory, antibiotic-responsive, or non-antibiotic-treated Lyme arthritis. Arthritis Rheum. 2007, 56, 4216–4225. [Google Scholar] [CrossRef] [PubMed]
  35. Jones, K.L.; Glickstein, L.J.; Damle, N.; Sikand, V.K.; McHugh, G.; Steere, A.C. Borrelia burgdorferi genetic markers and disseminated disease in patients with early Lyme disease. J. Clin. Microbiol. 2006, 44, 4407–4413. [Google Scholar] [CrossRef] [PubMed]
  36. Strle, K.; Jones, K.L.; Drouin, E.E.; Li, X.; Steere, A.C. Borrelia burgdorferi RST1 (OspC Type A) genotype is associated with greater inflammation and more severe Lyme disease. Am. J. Pathol. 2011, 178, 2726–2739. [Google Scholar] [CrossRef] [PubMed]
  37. Meyer, A.L.; Trollmo, C.; Crawford, F.; Marrack, P.; Steere, A.C.; Huber, B.T.; Kappler, J.; Hafler, D.A. Direct enumeration of Borrelia-reactive CD4 T cells ex vivo by using MHC class II tetramers. Proc. Natl. Acad. Sci. USA 2000, 97, 11433–11438. [Google Scholar] [CrossRef] [PubMed]
  38. Steere, A.C.; Klitz, W.; Drouin, E.E.; Falk, B.A.; Kwok, W.W.; Nepom, G.T.; Baxter-Lowe, L.A. Antibiotic-refractory Lyme arthritis is associated with HLA-DR molecules that bind a Borrelia burgdorferi peptide. J. Exp. Med. 2006, 203, 961–971. [Google Scholar] [CrossRef] [PubMed]
  39. Stricker, R.B. Counterpoint: Long-term antibiotic therapy improves persistent symptoms associated with Lyme disease. Clin. Infect. Dis. 2007, 45, 149–157. [Google Scholar] [CrossRef] [PubMed]
  40. Wormser, G.P.; Dattwyler, R.J.; Shapiro, E.D. The clinical assessment, treatment and prevention of Lyme disease, human granulocytic Anaplasmosis, and Babesiosis: Clinical practice guidelines by the Infectious Diseases Society of America. Clin. Infect. Dis. 2006, 43, 1089–1134. [Google Scholar] [CrossRef] [PubMed]
  41. Bouchard, C.; Beauchamp, G.; Nguon, S.; Trudel, L.; Milord, F.; Lindsay, L.R.; Bélanger, D.; Ogden, N.H. Associations between Ixodes scapularis ticks and small mammal hosts in a newly endemic zone in southeastern Canada: Implications for Borrelia burgdorferi transmission. Ticks Tick Borne Dis. 2011, 2, 183–190. [Google Scholar] [CrossRef] [PubMed]
  42. Fraenkel, C.J.; Garpmo, U.; Berglund, J. Determination of novel Borrelia genospecies in Swedish Ixodes ricinus ticks. J. Clin. Microbiol. 2002, 40, 3308–3312. [Google Scholar] [CrossRef] [PubMed]
  43. Kurtenbach, K.; De Michelis, S.; Sewell, H.S.; Etti, S.; Schafer, S.M.; Hails, R.; Collares-Pereira, M.; Santos-Reis, M.; Hanincova, K.; Labuda, M.; et al. Distinct combinations of Borrelia burgdorferi sensu lato genospecies found in individual questing ticks from Europe. Appl. Environ. Microbiol. 2001, 67, 4926–4929. [Google Scholar] [CrossRef] [PubMed]
  44. Pfister, H.W.; Rupprecht, T.A. Clinical aspects of neuroborreliosis and post-Lyme disease syndrome in adult patients. Int. J. Med. Microbiol. 2006, 9, 11–16. [Google Scholar] [CrossRef] [PubMed]
  45. Halperin, J.J. Nervous system Lyme disease. J. R. Coll. Phys. Edinb. 2010, 40, 248–255. [Google Scholar] [CrossRef] [PubMed]
  46. Fallon, B.A.; Levin, E.S.; Schweitzer, P.J.; Hardesty, D. Inflammation and central nervous system Lyme disease. Neurobiol. Dis. 2010, 37, 534–541. [Google Scholar] [CrossRef] [PubMed]
  47. Halperin, J.J. Central nervous system Lyme disease. Curr. Neurol. Neurosci. Rep. 2005, 5, 446–452. [Google Scholar] [CrossRef] [PubMed]
  48. Halperin, J.J.; Shapiro, E.D.; Logigian, E.; Belman, A.L.; Dotevall, L.; Wormser, G.P.; Krupp, L.; Gronseth, G.; Bever, C.T., Jr.; Quality Standards Subcommittee of the American Academy of Neurology. Practice parameter: Treatment of nervous system Lyme disease (An evidence-based review). Report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology 2007, 69, 91–102. [Google Scholar] [CrossRef] [PubMed]
  49. Widhe, M.; Skogman, B.H.; Jarefors, S.; Eknefelt, M.; Eneström, G.; Nordwall, M.; Ekerfelt, C.; Croner, S.; Bergström, S.; Forsberg, P.; et al. Upregulation of Borrelia-specific IL-4- and IFN-gamma-secreting cells in cerebrospinal fluid from children with Lyme neuroborreliosis. Int. Immunol. 2005, 17, 1283–1291. [Google Scholar] [CrossRef] [PubMed]
  50. Strle, K.; Drouin, E.E.; Shen, S.; Steere, A.C. Borrelia burgdorferi stimulates macrophages to secrete higher levels of cytokines and 37 chemokines than Borrelia afzelii or Borrelia garinii. J. Infect. Dis. 2009, 200, 1936–1943. [Google Scholar] [CrossRef] [PubMed]
  51. Singh, S.K.; Girschick, H.J. Lyme borreliosis: From infection to autoimmunity. Clin. Microbiol. Infect. 2004, 10, 598–614. [Google Scholar] [CrossRef] [PubMed]
  52. Alaedini, A.; Latov, N. Antibodies against OspA epitopes of Borrelia burgdorferi cross-react with neural tissue. J. Neuroimmunol. 2005, 159, 192–195. [Google Scholar] [CrossRef] [PubMed]
  53. Ramesh, G. Interaction of the Lyme disease spirochete Borrelia burgdorferi with brain parenchyma elicits inflammatory mediators from glial cells as well as glial and neuronal apoptosis. Am. J. Pathol. 2008, 173, 1415–1427. [Google Scholar] [CrossRef] [PubMed]
Table 1. Number of Borreliosis cases, per 100,000 inhabitants in Latvia and Poland.
Table 1. Number of Borreliosis cases, per 100,000 inhabitants in Latvia and Poland.
Years201020112012201320142015
Latvia, per 100,000 inhabitants39.538.935.622.423.524.9
Poland, per 100,000 inhabitants23.623.822.833.136.035.4
Source: Centre of Disease Prevention and Control (CDPC) of Latvia (Latvia) [18]; “Choroby zakaźne w Polsce”, PZH for years 2010–2015, LD (Poland) [20].
Table 2. Distribution of clinical borreliosis manifestations in patients from Latvia.
Table 2. Distribution of clinical borreliosis manifestations in patients from Latvia.
Early Localized Disease/Stage I (<30 Days), n = 118* Early Disseminated Disease/Stage II (>30 Days), n = 90Late Disseminated Disease/Stage III (>6 Months), n = 8
%n %n n
EM (-)13.616EM (-)37.834
LNB25.523LNB6
Cardiac LB08.908
LA12.211
Mix/others46.748Mix/others2
Abbreviations: EM (-): nonerythematous form; LNB: Lyme neuroborreliosis; LB: Lyme borreliosis; LA: Lyme arthritis; * the groups with prevalent symptoms.
Table 3. The frequency of DRB1* alleles studied in-patients with Lyme borreliosis and healthy controls from Latvia.
Table 3. The frequency of DRB1* alleles studied in-patients with Lyme borreliosis and healthy controls from Latvia.
Allele HLA-LB Patients (n = 216)Controls (n = 282)OR(95% CI)p-Valuepc-Valueχ2
%N%N
DRB1*0110.94712.6710.850.56–1.280.408ND0.68 M
DRB1*15(02)12528.2461.540.99–2.390.0420.4523.73 Y
DRB1*16(02)10.94710.8611.010.66–1.530.974ND0.00
DRB1*17(03)11.1487.4421.550.98–2.450.0460.4833.99 M
DRB1*18(03)8.1355.1291.630.95–2.790.059ND3.56 M
DRB1*0411.1487.4421.550.98–2.450.0460.4833.99 M
DRB1*11(05)3.9179.8550.380.21–0.680.00040.00611.49 Y
DRB1*12(05)4.2185.5310.750.40–1.400.336ND0.66 Y
DRB1*13(06)4.9218.5480.550.31–0.960.0250.2984.50 Y
DRB1*14(06)2.8125.3300.510.24–1.050.0480.4983.91 M
DRB1*0710.6466.6371.701.06–2.730.0210.2575.35 M
DRB1*082.8123.7210.740.34–1.590.409ND0.42 Y
DRB1*092.8123.4190.820.37–1.800.595ND0.12 Y
DRB1*102.3104.1230.560.24–1.240.124ND1.86 Y
DRB1*x1.671.69NDNDNDNDND
The bold alleles are statistically significant (p < 0.05). Abbreviations: ND: not defined; OR: odds ratio; CI: confidence interval; p-value (probability); pc-value (probability after Bonferroni adjustment); M: Mantel-Haenszel; Y: Yates corrected; χ2: Chi-Squares test.
Table 4. The frequency of DRB1* alleles studied in-patients with Lyme neuroborreliosis and healthy controls from Latvia.
Table 4. The frequency of DRB1* alleles studied in-patients with Lyme neuroborreliosis and healthy controls from Latvia.
Allele HLA-LNB Patients (n = 29)Controls (n = 282)OR(95% CI)p-Valuepc-Valueχ2
%N%N
DRB1*015.2312.6710.380.09–1.300.096ND2.76 M
DRB1*15(02)15.598.2462.070.88–4.710.060ND2.68 Y
DRB1*16(02)6.9410.8610.610.18–1.840.352ND0.86 M
DRB1*17(03)5.237.4420.680.16–2.380.377ND0.40 M
DRB1*18(03)5.235.1291.010.24–3.610.589ND0.09 M
DRB1*0415.597.4422.280.97–5.230.0330.3753.54 Y
DRB1*11(05)3.429.8550.330.05–1.430.113ND1.81 Y
DRB1*12(05)3.425.5310.610.10–2.730.388ND0.44 M
DRB1*13(06)5.238.5480.590.14–2.040.276ND0.78 M
DRB1*14(06)1.715.3300.310.02–2.200.193ND1.43 M
DRB1*0717.2106.6372.971.29–6.670.0030.0418.58 M
DRB1*086.943.7211.880.53–6.080.204ND0.29 M
DRB1*095.233.4191.560.36–5.830.337ND0.50 M
DRB1*101.714.1230.410.02–2.950.325ND0.78 M
DRB1*x5.231.69NDNDNDNDND
The bold alleles are statistically significant (p < 0.05). Abbreviations: ND: not defined; p-value (probability); pc-value (probability after Bonferroni adjustment); M: Mantel-Haenszel; Y: Yates corrected; χ2: Chi-Squares test.

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Kovalchuka, L.; Cvetkova, S.; Trofimova, J.; Eglite, J.; Gintere, S.; Lucenko, I.; Oczko-Grzesik, B.; Viksna, L.; Krumina, A. Immunogenetic Markers Definition in Latvian Patients with Lyme Borreliosis and Lyme Neuroborreliosis. Int. J. Environ. Res. Public Health 2016, 13, 1194. https://doi.org/10.3390/ijerph13121194

AMA Style

Kovalchuka L, Cvetkova S, Trofimova J, Eglite J, Gintere S, Lucenko I, Oczko-Grzesik B, Viksna L, Krumina A. Immunogenetic Markers Definition in Latvian Patients with Lyme Borreliosis and Lyme Neuroborreliosis. International Journal of Environmental Research and Public Health. 2016; 13(12):1194. https://doi.org/10.3390/ijerph13121194

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Kovalchuka, Lilija, Svetlana Cvetkova, Julija Trofimova, Jelena Eglite, Sandra Gintere, Irina Lucenko, Barbara Oczko-Grzesik, Ludmila Viksna, and Angelika Krumina. 2016. "Immunogenetic Markers Definition in Latvian Patients with Lyme Borreliosis and Lyme Neuroborreliosis" International Journal of Environmental Research and Public Health 13, no. 12: 1194. https://doi.org/10.3390/ijerph13121194

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