Süss J, Schrader C, Abel U, Voigt W P, Schosser R
Bundesinstitut für gesundheitlichen Verbraucherschutz und Veterinärmedizin, Berlin, Germany.
Zentralbl Bakteriol. 1999 Dec;289(5-7):564-78. doi: 10.1016/s0934-8840(99)80010-3.
The prevalence of tick-borne encephalitis virus (TBEV) in Ixodes ricinus tick populations in endemic areas of Germany with the highest TBE risk is unknown. Annual and seasonal differences in TBEV prevalence have also not been studied. Against this background, in May 1997 we started a systematic virus surveillance programme in ticks collected in locations known to have a high incidence of autochthonous TBE cases. These were 5 locations in Baden-Württemberg (Black Forest) and 8 locations in Bavaria (surrounding Passau). Field-collected ticks were randomly assigned to pools of 10 adults or 20 nymphs, respectively. The tick pools were tested for the presence of TBEV-RNA using a newly developed, sensitive nested reverse transcriptase polymerase chain reaction assay (nRT-PCR). The primer pairs were selected from the 5'-terminal noncoding region, a highly conserved part of the virus. The specificity was tested by computer homology searches of sequences, as well as by sequencing of the first and the second amplificates, by Southern blot hybridisation with a DIG-labelled oligonucleotide probe, and by restriction enzyme analysis. The method has proved to be very sensitive, with a detection limit of 20 fg of TBEV RNA per PCR run, or a single positive tick. Based on biostatistical considerations a sample size of at least 1000 ticks per estimation point was chosen. The estimated TBEV prevalence and confidence intervals (CI) were calculated from the nRT-PCR results of pooled samples (10 adults or 20 nymphs) using appropriate formulae for pooled testing. In order to identify the estimated TBEV prevalence as well as to assess the influence of annual and seasonal factors on TBEV prevalence, ticks were sampled twice a year (May and September) in 1997 and 1998 at exactly identical sites. These sites were selected because they were known to have had the highest incidence of autochthonous TBE cases during the previous 10 years. On sampling days, relevant local meteorological data were also noted. In total, 8500 I. ricinus ticks were investigated in this study, 4270 (3540 nymphs, 730 adults) from the Black Forest habitats, and 4230 (3680 nymphs, 550 adults) from the Bavarian locations. In the foci near Freiburg (Black Forest), the estimated virus prevalence was relatively high in the whole tick population, during 1997 with only slight seasonal differences [3.4% (confidence interval, CI, 2.3-4.8%) in May and 2.9% (CI 1.7-4.5%) in September]. In contrast, in 1998, in the same foci the estimated TBEV prevalence was considerably lower [1.1% (CI 0.5-2.0%) in May and 0.6% (CI 0.2-1.4%) in September]. Thus, while the seasonal differences again remained low, the annual variation was marked. In the Bavarian foci in 1997, the estimated virus prevalence of the whole tick population studied was lower than in the Black Forest foci and the seasonal fluctuations were low: in May 1997 0.9% (CI 0.4-1.8%) of the ticks were positive, in September 1.1% (CI 0.5-1.9%). In 1998, in May 2.0% (CI 1.1-3.3%) of the ticks were positive, and in September 1.1% (CI 0.5-2.1%). For the whole study period, every 50th to 100th I. ricinus nymph or adult in the Passau region was calculated to give a positive signal in the nRT-PCR. The TBEV prevalence data indicate that residents and visitors of areas in Germany known for high endemic activity take a significant risk of contracting TBEV infection, if bitten by ticks. In addition, the data suggest that annual fluctuations may exist in the whole tick population studied. Seasonal fluctuations of the virus prevalence in ticks were small.
在德国TBE风险最高的流行地区,蓖麻硬蜱种群中蜱传脑炎病毒(TBEV)的流行情况尚不清楚。TBEV流行率的年度和季节性差异也未得到研究。在此背景下,1997年5月,我们在已知本地TBE病例高发的地点采集的蜱中启动了一项系统的病毒监测计划。这些地点是巴登 - 符腾堡州(黑森林)的5个地点和巴伐利亚州(帕绍周边)的8个地点。野外采集的蜱分别随机分成每组10只成虫或20只若虫的样本池。使用新开发的、灵敏的巢式逆转录聚合酶链反应检测法(nRT-PCR)检测蜱样本池中是否存在TBEV-RNA。引物对选自病毒高度保守的5'端非编码区。通过对序列进行计算机同源性搜索、对第一轮和第二轮扩增产物进行测序、用DIG标记的寡核苷酸探针进行Southern印迹杂交以及进行限制性酶切分析来测试特异性。该方法已被证明非常灵敏,每次PCR运行的检测限为20 fg TBEV RNA,或一只阳性蜱。基于生物统计学考虑,每个估计点选择至少1000只蜱的样本量。使用适用于混合检测的公式,根据混合样本(10只成虫或20只若虫)的nRT-PCR结果计算估计的TBEV流行率和置信区间(CI)。为了确定估计的TBEV流行率以及评估年度和季节性因素对TBEV流行率的影响,1997年和1998年每年在完全相同的地点对蜱进行两次采样(5月和9月)。选择这些地点是因为已知它们在前10年中本地TBE病例发病率最高。在采样日,还记录了相关的当地气象数据。本研究共调查了8500只蓖麻硬蜱,其中4270只(3540只若虫,730只成虫)来自黑森林栖息地,4230只(3680只若虫,550只成虫)来自巴伐利亚州的地点。在弗赖堡附近的疫源地(黑森林),整个蜱种群中估计的病毒流行率相对较高,1997年季节性差异较小[5月为3.4%(置信区间,CI,2.3 - 4.8%),9月为2.9%(CI 1.7 - 4.5%)]。相比之下,1998年,在同一疫源地,估计的TBEV流行率显著降低[5月为1.1%(CI 0.5 - 2.0%),9月为0.6%(CI 0.2 - 1.4%)]。因此,虽然季节性差异再次较小,但年度变化明显。1997年在巴伐利亚州的疫源地,所研究的整个蜱种群的估计病毒流行率低于黑森林疫源地,且季节性波动较小:1997年5月0.9%(CI 0.4 - 1.8%)的蜱呈阳性,9月为1.1%(CI 0.5 - 1.9%)。1998年,5月2.0%(CI 1.1 - 3.3%)的蜱呈阳性,9月为1.1%(CI 0.5 - 2.1%)。在整个研究期间,帕绍地区每50至100只蓖麻硬蜱若虫或成虫经计算在nRT-PCR中会给出阳性信号。TBEV流行率数据表明,德国已知高流行活动地区的居民和游客如果被蜱叮咬,感染TBEV的风险很大。此外,数据表明在所研究的整个蜱种群中可能存在年度波动。蜱中病毒流行率的季节性波动较小。