Abstract
Tularaemia is a highly contagious infectious zoonosis caused by the bacterial agent Francisella tularensis. The aim of this study was to investigate the presence of antibodies to F. tularensis in febrile patients in northeastern Kenya. During 2014–2015, 730 patients were screened for anti-F. tularensis antibodies using a combination of ELISA and Western blot. Twenty-seven (3.7%) individuals were positive for F. tularensis. Tularaemia was not suspected by the treating clinicians in any of them. Our results suggest that tularaemia may be present in Kenya but remain unreported, and emphasizes the need for local clinicians to broaden their diagnostic repertoire when evaluating patients with undifferentiated febrile illness.
Keywords: Fever, Francisella tularensis, Kenya, seroprevalence, zoonoses
Introduction
Tularaemia is a serious zoonotic disease caused by the highly virulent Gram-negative bacterium Francisella tularensis [1]. There are two clinically relevant subspecies: F. tularensis subspecies tularensis and F. tularensis subspecies holarctica. Francisella tularensis tularensis causes life-threatening tularaemia and is found in North America, whereas F. tularensis holarctica causes less-severe tularaemia and is described mainly from the northern hemisphere [2]. Human infection often occurs after inhalation of contaminated dust or after handling infected animals or their products. Tularaemia is also acquired by consumption of contaminated water or raw meat or through bites by infected vectors, i.e. tabanids, ticks or mosquitoes. Many wild animals can be a reservoir of the pathogen [3]. In humans, tularaemia is characterized by fever, chills, fatigue, malaise, headache and lymphadenopathy. Depending upon the route of infection, the clinical forms of tularaemia include ulceroglandular, glandular, oropharyngeal, oculoglandular, typhoidal and pneumonia [4]. Diagnosis is commonly confirmed by serological methods because they are usually easy to perform and cause little risk of infection for laboratory personnel. However, some patients may not seroconvert, while others stay seropositive for years after an infection, and/or may have cross-reacting antibodies due to infections with other Gram-negative bacteria such as Yersinia spp., Coxiella spp. and Brucella spp. [5], [6]. Because bacteriological isolation of this fastidious organism requires special nutrient media, and is dangerous for laboratory personnel [4], real-time PCR assays have been developed and are becoming widely accepted as alternative and sensitive tools for the diagnosis of acute tularaemia in humans. Additionally, recent multiplex real-time PCR assays have also been developed for identification and discrimination of F. tularensis subspecies. The assays have demonstrated high analytical specificity against bacterial pathogens considered to be serologically and genetically related to F. tularensis [7], [8], [9], [10].
The epidemiology of tularaemia in Africa remains unknown. A PubMed search using the MeSH terms ‘Francisella’ or ‘tularaemia’ and ‘Africa’ revealed only a single case report of F. tularensis bacteraemia from Sudan [11]. Although F. tularensis has not been documented in Kenya, the previously unrecognized zoonoses including rickettsiosis and Q-fever [12], [13], chikungunya [14], leptospirosis and brucellosis [15], [16] are emerging as common causes of non-malaria febrile illness in Kenya. Such acute bacterial zoonoses show a wide spectrum of clinical symptoms that mimic those from malaria. Due to lack of reliable laboratory diagnostic facilities and the presumptive clinical management of fever as malaria in Kenya [17], [18], many patients with acute zoonotic infections such as tularaemia are likely to be misdiagnosed. This may result in missed opportunities to detect other causes of fever and in routine disease underreporting. We therefore hypothesized that tularaemia is likely to be unreported in Kenya possibly because of low incidence or misdiagnosis for other endemic tropical diseases. The study reported here is part of a broader investigation aimed at advancing our knowledge of the aetiologies of undifferentiated fever in Kenya.
Materials and methods
Study participants and sample collection
As part of a comprehensive study of the aetiologies of undifferentiated fever in northeastern Kenya [12], [16], we enrolled patients with acute febrile diseases in Garissa and Wajir hospitals from 2014 through 2015. This province was selected because public health support and disease surveillance have been extremely limited and outbreaks of re-emerging diseases have been reported [15], [19], [20]. The study design was described in detail elsewhere [12]. Briefly, patients presenting with acute febrile illness to the outpatient departments of the two hospitals were systematically enrolled. The inclusion criteria were: a clinical history of acute febrile illness characterized by fever (≥38°C) and at least one of the following clinical symptoms: headache, chills, myalgia, arthralgia, general body malaise and acute lower respiratory illness. The last of these was defined as new onset of cough, difficulties when breathing or chest pain and fever [21]. A study clinician then collected demographic information, obtained clinical history and performed a physical examination of the enrolled patients. Serum samples were obtained from each consenting patient and frozen at –40°C until analysed.
Detection of anti-F. tularensis antibodies
Serum samples were screened for tularaemia using a commercial Serazym® anti-F. tularensis ELISA kit (Seramun Diagnostica, Heidesee OT Wolzig, Germany) and results were interpreted according to the manufacturer's instructions. Briefly, samples with an optical density >0.25 were scored as positive while those with optical density <0.20 were considered negative. The samples with values between 0.20 and 0.25 were denoted as borderline. The cut-off values were calculated on the basis of the standard curve corrected by the mean of the extinction of the standard serum according to the manufacturers' instructions. The Serazym Anti-F. tularensis ELISA allows detection of all classes of antibodies (IgG, IgA and IgM) to the lipopolysaccharide of F. tularensis in human serum.
The samples that gave equivocal results were re-tested.
All serum samples giving positive results by ELISA were further confirmed for anti-Francisella lipopolysaccharide-specific antibodies by Western blot with minor modifications to the tests described previously [22]. In our assays, alkaline-phosphatase-labelled goat anti-human IgG (Sigma-Aldrich, Munich, Germany) diluted 1: 30 000 was used as secondary antibody. Sera were considered positive when the F. tularensis typical lipopolysaccharide ladder was visible.
To exclude possible cross-reacting antibodies, serum samples were tested for anti-Coxiella and anti-Brucella antibodies using Serion ELISA classic kits (Virion∖Serion, Würzburg, Germany), and anti-Yersinia antibodies using the recomLine Yersinia kits (Mikrogen, Neuried, Germany). The results were then interpreted according to the manufacturer's instructions.
Molecular testing
DNA was extracted from serum samples using High Pure Template preparation Kit™ (Roche Diagnostics, Mannheim, Germany) according to the manufacturer's instructions. Quantitative real-time PCR assays for detection of Coxiella burnetii and Brucella spp. were performed targeting the C. burnetii-specific repetitive element IS1111 and Brucella genus-specific bcsp31 gene loci, respectively. The Brucella species were identified using the species-specific localization of IS711 element in Brucella abortus and Brucella melitensis as previously described [23], [24], [25].
Data management and statistical analysis
Demographic, clinical and serological data were entered and managed by SPSS Statistics software (v.20, IBM Corp.; Armonk, NY, USA). The Pearson's χ2 test or Fisher's exact test was used to determine differences in tularaemia seroprevalence among demographic groups. Statistical significance was set at p < 0.05.
Ethics and consent to participate
The approval for collection of specimens from humans was obtained from the Scientific and Ethics Review Unit of Kenya Medical Research Institute, protocol no. 2637. Permission to conduct the study was also sought from relevant public health offices and hospital administration. Written informed consent was obtained from every participant or from guardians of patients <18 years old before specimen collection.
Results
A total of 1067 patients participated in the overall study including 936 (87.7%) adults (≥18 years). Females accounted for 54.4% of the study population (n = 580). Characteristics of the study population have been reported elsewhere [12], [16]. Blood samples of 730 (68.4%) patients were available for tularaemia testing including 652 (69.7%) adults and 78 (59.5%) children.
Overall, 71 (9.7%) patients were seropositive for tularaemia by ELISA, but only 27/730 (3.7%) could be confirmed by Western blotting. Of these, 19/395 (4.8%) were female and 8/335 (2.4%) were male. Of the 71 sera, two were confirmed to be positive for B. abortus-specific DNA, and two were seropositive for brucellosis by ELISA only. One patient each tested positive for C. burnetii and Yersinia spp., respectively. Twenty-seven patients (that were found positive using the combined ELISA and Western blot diagnostic approach), tested negative in all other tests applied.
Analyses of patient characteristics showed no significant associations with tularaemia seropositivity between ethnic groups, sex, residence site or across different age strata, education status and occupations (p > 0.05). The most common clinical presentation (with the exception of constitutional symptoms) among tularaemia-positive patients was lymphadenopathy (59.3%), generalized body aches (55.6%), malaise/fatigue (51.8%) and sore throat (33.3%).
The mean interval from the onset of fever symptoms until hospital presentation was 17.8 days (median 6 days) for tularaemia-positive patients and 15.1 days (median 8 days) for the seronegative group. The symptoms and clinical features of the patients are summarized in Table 1.
Table 1.
Clinical symptoms and signs | Positive for tularaemia (N = 27) |
Negative for tularaemia (N = 703) |
p value |
---|---|---|---|
n (%) | n (%) | ||
Lymphadenopathy | 16 (59.3) | 128 (18.2) | <0.001* |
Arthralgia/myalgia | 15 (55.6) | 506 (72.0) | 0.202 |
Malaise/fatigue | 14 (51.9) | 499 (70.9) | 0.033* |
Painful lymph nodes | 8 (29.6) | 89 (12.8) | 0.018* |
Headache | 8 (29.6) | 423 (60.1) | 0.080 |
Weight loss | 7 (25.9) | 102 (14.5) | 0.317 |
Acute lower respiratory illness | 5 (18.5) | 152 (21.6) | 0.460 |
Cutaneous lesions | 5 (18.5) | 111 (15.8) | 0.698 |
Sore throat | 9 (33.3) | 138 (19.6) | 0.109 |
Vomiting | 2 (7.4) | 28 (3.9) | 0.920 |
Abdominal pain | 4 (14.8) | 165 (23.5) | 0.064 |
Diarrhoea | 3 (11.1) | 87 (12.3) | 0.294 |
Rash | 1 (3.7) | 35 (4.8) | 0.571 |
Hepato-splenomegaly | 3 (11.1) | 94 (12.9) | 0.610 |
History of fever (>14 days) | 9 (33.3) | 262 (37.3) | 0.678 |
Age, mean ± SD (years) | 33.2 ± 12.4 | 34.5 ± 12.1 | 0.595 |
Fever onset/median (days) | 17.8/6 | 15.1/8 | 0.374 |
*Statistically significant, χ2 tests p < 0.05.
Patients with ELISA-positive results confirmed by Western blot.
Eight of these patients reported painful lymph nodes whereas one patient presented with unilateral suppurative cervical lymphadenopathy. The lymphadenopathies were localized in the inguinal, axillary and cervical regions. Painful lymph node (p = 0.018), malaise or fatigue (p = 0.033) and lymphadenopathy (p < 0.001) were the clinical features associated with tularaemia seropositivity (Table 1). These are typical for several clinical forms of tularaemia. However, tularaemia was not clinically diagnosed in any of the patients.
Discussion and conclusions
Considering that tularaemia had not been reported in Kenya before, the seroprevalence was surprisingly high. Despite this, these infections were not recognized by the local clinicians during hospital diagnosis. A similar diagnostic approach was applied in a previous study, revealing a sensitivity of nearly 100% and specificity >99% for the detection of tularaemia in humans [22]. In addition to the case report from Sudan [11], this study further suggests that tularaemia may be present in eastern Africa, but remains unreported. Therefore, regional rather than national efforts for an integrated approach to a sustainable surveillance system for tularaemia are needed. This is particularly necessary considering the ongoing security threat across the region and the potential use of Francisella in warfare or bioterrorism.
Communities in northern Kenya are predominantly pastoralists. Their nomadic movements lead them into different ecosystems and bring them into contact with wildlife and different vectors [26]. Contact with rodents that can be a reservoir of F. tularensis might play a role in the transmission of the disease, but the use of surface water as the main source of drinking water for wild animals, livestock and humans in the study region may be the most important reason for human infections. Further research is necessary to identify local vectors and reservoirs, and to identify key risk factors for infection.
This report emphasizes the need for local clinicians to broaden their diagnostic repertoire for undifferentiated fevers. This strategy would be of clinical importance as recent studies showed that clinicians in Kenya continue to treat febrile patients for presumptive malaria or use β-lactams, which are ineffective against F. tularensis, C. burnetii, Yersinia spp. or Brucella spp. A limitation of this study is that microbiological isolation of F. tularensis was not performed. Hence, the possibility of cross-reactivity with antibodies of other Gram-negative bacteria cannot be ruled out.
Another potential limitation is that the study used acute-phase serum samples only. Follow up of patients to obtain a convalescent serum sample was not feasible because of ongoing inter-clan conflicts and militia activities in the region. Therefore it was not possible to demonstrate seroconversion or a four-fold titre rise of anti-Francisella antibodies to definitively confirm tularaemia diagnoses in our patients. More research is needed to prove our findings using cultivation and further characterization of the bacteria.
Acknowledgements
We thank the patients for taking part in this study. We acknowledge the staff of Friedrich-Loeffler-Institut and hospital staff for their valuable contributions. Finally, we thank the Director of the Kenya Medical Research Institute for granting permission to publish this paper. The study was supported by the German Academic Exchange Service (grant no. A/12/97862), the CGIAR Research Programme for Agriculture for Nutrition and Health (led by the International Food Policy Research Institute [grant no. 1100783/1]) and the German Ministry for Science and Education (grant no. 01KI1501).
Transparency declaration
All authors report no conflicts of interest.
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