Currently, direct detection of Leptospira can be done in clinical laboratories by conventional and by real-time PCR (qRT-PCR). We tested a biobank of paired samples of serum and urine from the same patient (202 patients) presenting at the hospital in an area endemic for leptospirosis using qRT-PCR followed by high resolution melting (HRM) analysis. The results were compared with those obtained by conventional nested PCR and with the serologic gold standard microscopic agglutination test (MAT). Differences were resolved by sequencing. qRT-PCR-HRM was positive for 46 of the 202 patients (22.7%, accuracy 100%) which is consistent with known prevalence of leptospirosis in the Azores. MAT results were positive for 3 of the 46 patients (6.5%). Analysis of paired samples allowed us to identify the illness point at which patients presented at the hospital: onset, dissemination or excretion. The melting curve analysis of Leptospira species revealed that 60.9% (28/46) of patients were infected with L. interrogans and 39.1% (18/46) were infected with L. borgpetersenii, both endemic to the Azores. We validated the use of qRT-PCR-HRM for diagnosis of leptospirosis and for identification of the Leptospira species at the earliest onset of infection in a clinical setting, in less than 2 hours.
Leptospirosis is a worldwide zoonotic and neglected infectious disease caused by pathogenic bacteria of the Leptospira genus from the family Leptospiraceae1. This disease is known for its endemicity mainly in countries with a humid tropical or subtropical climate2. The infection is associated with a variety of clinical manifestations, ranging from flu-like symptoms to multiple organ failure and death3. Symptoms of leptospirosis are frequently mistaken for other causes of acute febrile syndrome, such as dengue, hepatitis and malaria, depending on overlap of endemic geographic areas. The lack of pathognomonic signs of leptospirosis means that diagnosis is tentatively based on evaluation of fever and myalgia in patients presenting at the hospital in areas of endemicity, and it is rarely confirmed in most parts of the world due to lack of affordable diagnostic assays. As a result, laboratory support is essential.
Current techniques to detect Leptospira evolved from conventional to real-time PCR (qRT-PCR)3. An emerging technique for clinical diagnosis is high resolution melting (HRM) analysis. HRM uses affordable SYBR green chemistries and is performed with a real-time PCR instrument immediately after PCR; its underlying principle is the generation of different melting curve profiles due to sequence variations in double-stranded DNA4. Advantages of this method include a rapid turn-around time (less than 2 hr), a closed-tube format that significantly reduces contamination risk, high sensitivity and specificity, low cost and, unlike other methods, no sample processing or separations after PCR5. Furthermore, HRM is a non-damaging method that enables the subsequent analysis of the sample by other methods, such as DNA sequencing or gel electrophoresis6.
HRM has been used for detection of oncogene mutations7, human malaria diagnosis8, species differentiation and genotyping within microbial species9. For leptospirosis, several studies have described HRM for typing Leptospira strains at the species and subspecies levels10,11,12,13, mainly from Leptospira culture. HRM can accurately discriminate L. interrogans, L. kirschneri, L. borgpetersenii and L. mayottensis with a specificity and reproducibility of 100%12. In other studies, HRM has been used to establish proof of principle assays for direct detection of Leptospira in human samples14,15,16. In a clinical context, qRT-PCR TaqMan and qRT-PCR-HRM has been used for diagnosis of leptospirosis using blood and/or urine samples17,18,19,20,21,22. However, none of these studies used paired human biological samples.
The aim of the present work was to implement a diagnostic assay for human leptospirosis capable of providing timely laboratory results on the same day the patient is seen at the emergency room of the hospital. To address this, we used a robust biobank of paired serum and urine samples collected from febrile patients at admission at the emergency room and evaluated the accuracy of qRT-PCR-HRM analysis as a clinical diagnostic tool for direct detection of Leptospira in the very early stages of human leptospirosis.
The present study followed international ethical guidelines and was evaluated and approved (Ref. HDES/CES/159/2009) by the Health Ethics Committee of the Hospital of Divino Espírito Santo of Ponta Delgada (HDES). The analysis of retrospective samples (serum and urine) from patients suspected of having leptospirosis was exempted from the need to obtain informed consent under the regulations of the Portuguese Data Protection Commission – law 12/2005 article 19, number 6 (https://www.cnpd.pt/bin/orientacoes/DEL227-2007-ESTUDOS-CLINICOS.pdf, accessed February 22, 2017).
A total of 202 patients were investigated from January 2015 to June 2016 (Supplementary Table S1). Serum and urine were collected in sterile biological containers and processed for molecular detection/confirmation of Leptospira spp. We centrifuged all sera and urine samples at 2000 rpm for 10 minutes. Bacterial DNA was automatically extracted from 400 µl of independent samples of serum (S1 and S2) and urine (U1 and U2) from each patient using the BioRobot EZ1 Advanced System (Qiagen). A total of 808 samples were processed.
Reference molecular test (conventional nested PCR)
Conventional nested PCR was considered the reference standard for Leptospira spp. DNA detection in the present study. After automatic bacterial DNA extraction, the rrs (16S rRNA) gene was amplified as previously described23,24 by conventional nested PCR in a Biometra® T-Gradient thermal cycler. We used two primer sets: forward-A 5′-GGCGGCGCGTCTTAAACATG-3′ and reverse-B 5′-TTCCCCCCATTGAGCAAGATT-3′ for the first PCR; nested-A 5′-TGCAAGTCAAGCGGAGTAGC-3′ and nested-B 5′-TTCTTAACTGCTGCCTCCCG-3′ for the nested PCR. The first PCR reaction contained 5 μl of bacterial DNA, 10 μM primers A and B, 100 μM dNTPs (Promega), 25 nM MgCl2 (Qiagen), 1X Q-Solution (Qiagen), 1X buffer (Qiagen), 5 U of HotStart Taq (Qiagen) and RNase-free water to a final volume of 50 μl. The PCR programme started with an enzyme activation step at 95 °C for 15 minutes; proceeded with 30 cycles of 94 °C for 1 minute, 63 °C for 1 minute and 72 °C for 1 minute; and ended with a final extension step at 72 °C for 10 minutes. The nested PCR (2nd round) used 5 μl of the first-round PCR product and 10 μM nested-A and nested-B primers. The first cycle consisted of denaturation at 95 °C for 15 minutes, followed by 30 cycles of denaturation at 94 °C for 1 minute, primer annealing at 63 °C for 1 minute, and extension at 72 °C for 1 minute, with an additional step at 72 °C for 10 minutes at the end, resulting in a 292 bp fragment. Amplified Leptospira DNA was visualized in an UV transilluminator instrument (BioRad) after agarose gel electrophoresis (3%). A patient was defined as having a laboratory-confirmed case of leptospirosis when Leptospira DNA was detected in at least one serum (S1 or S2) or urine (U1 or U2) sample.
Real-Time PCR High Resolution Melting (qRT-PCR-HRM) analysis
Primer pairs for qRT-PCR-HRM analysis were chosen according to the results obtained by Naze et al.12. We used the following LFB1 F/R and G1/G2 primers to amplify the lfb1 and secY genes, respectively: LFB1-F 5′-CATTCATGTTTCGAATCATTTCAAA-3′ and LFB1-R 5′-GGCCCAAGTTCCTTCTAAAAG-3′, and G1 5′-CTGAATCGCTGTATAAAAGT-3′ and G2 5′-GGAAAACAAATGGTCGGAAG-3′. The 15 μl reactions contained 7.5 μl of 2X Type-it HRM master mix (Qiagen), 0.7 μM final concentration of each primer (TibMolBiol), 3.75 μl of extracted bacterial DNA, and RNase-free water to a final volume of 15 μl. We performed the following amplification protocol in the 7500 Fast Real-Time PCR instrument (Applied Biosystems): denaturation at 95 °C for 5 minutes, followed by 45 cycles of 95 °C for 10 seconds, 55 °C for 30 seconds, and 72 °C for 10 seconds. These conditions were used for both primer sets. After PCR cycling, the samples were heated from 70 °C to 95 °C with continuous data acquisition.
We used six pathogenic Leptospira reference cultures provided by the Portuguese Reference Laboratory for Leptospirosis (at the Instituto de Higiene e Medicina Tropical, IHMT, of the Universidade Nova de Lisboa) as positive controls: 4 strains belonging to L. interrogans serogroup (sg) Icterohaemorrhagiae, L. borgpetersenii sg Ballum, L. kirschneri sg Cynopteri and L. noguchii sg Panama and 2 human Azorean isolates4 belonging to L. interrogans serovar (sv) Copenhageni of Icterohaemorrhagiae sg (human isolate 1) and L. borgpetersenii sv Arborea of Ballum sg (human isolate 6). Melting curve plots were generated and analysed using High Resolution Melt software v3.0.1 (Applied Biosystems) to determine average melting temperature (Tm) for each Leptospira spp.
qRT-PCR-HRM benchmarking confirmation by Sanger sequencing
To validate the qRT-PCR-HRM analysis, we selected 18 biological specimens (13 serum and 5 urine samples) from laboratory-confirmed leptospirosis patients, including the sample positive by nested PCR and negative by qRT-PCR-HRM analysis. As reference DNA sequences, we used two Leptospira spp. (L. interrogans sg Icterohaemorrhagiae and L. borgpetersenii sg Ballum) and two human isolates. Amplified DNA products of Leptospira obtained by nested PCR were purified using the QIAquick PCR Purification Kit (Qiagen) according to the manufacturer’s instructions. Sequencing was performed using the nested-A and nested-B primer pair with the BigDye Terminator v1.1 cycle sequencing kit (Applied Biosystems) under the following conditions: 2 μl of ready reaction mix, 4 μl of BigDye sequencing buffer, 3.2 pmol of each primer pair, 7 ng of DNA, and RNase-free water to a final reaction volume of 20 μl. The cycling programme included an initial denaturation step at 96 °C for 1 minute, followed by 25 cycles of 96 °C for 10 seconds, 50 °C for 5 seconds and 60 °C for 4 minutes, in a GeneAmp® PCR System 2700 (Applied Biosystems). The sequencing products were purified with a BigDye XTerminator® Purification Kit (Applied Biosystems) and separated by capillary electrophoresis in an automated sequencer (ABI 3130 Genetic Analyzer, Applied Biosystems) with a 36 cm capillary and POP-7™ polymer according to the manufacturer’s instructions. Data were analysed with Sequencing Analysis software v5.3.1 (Applied Biosystems). Sequences were aligned using Bioedit™ software v7.0.0.
Microscopic agglutination test (MAT)
A total of 46 serum samples evaluated as positive by the molecular approach were aliquoted and stored at −20 °C for further detection of anti-Leptospira spp. antibodies by MAT. Additionally, 20 negative serum samples were selected as controls. MAT was performed at the Portuguese Reference Laboratory for Leptospirosis (IHMT, Universidade Nova de Lisboa) using a battery of 25 live pathogenic serovars (including 4 Azorean isolates) representative of 15 serogroups of pathogenic Leptospira and a saprophytic serovar of L. biflexa as an internal control. Samples were initially screened at a 1∶40 dilution, and reactive sera were further diluted in a 2-fold series to the endpoint, defined as the highest serum dilution that agglutinated at least 50% of leptospires. For the Azorean endemic region, samples were considered positive when titres were 1∶160 or greater, not conclusive when titres were below 1:160 (cut-off), and negative when no agglutination was observed.
The nested PCR test was used as the reference molecular test to calculate the sensitivity, specificity, positive and negative predictive values (PPV and NPV), and overall accuracy [with the 95% confidence interval (CI)]. Calculations were performed using Vassar College’s VassarStats Website for Statistical Computation (http://www.vassarstats.net, last accessed May 16, 2018). To determine whether there was a significant difference between the diagnostic tests for Leptospira detection, data were analysed by McNemar’s test and by Fisher Exact test, p < 0.05 indicated statistical significance. The Standards for Reporting of Diagnostic Accuracy (STARD) statement was followed when reporting the results of the present study25.
All data generated or analysed during this study are included in this published article and the Supplementary Information files.
The present work is a retrospective hospital-based study that includes samples from patients suspected of leptospirosis who presented mainly at the Emergency Department of the Hospital of Divino Espírito Santo of Ponta Delgada in São Miguel, Azores, a Portuguese island in which leptospirosis is endemic. A total of 202 patients were investigated from January 2015 to June 2016 (Supplementary Table S1). The mean patient age was 48.2 (±16.4) years. Higher rates of males (89.6%) than females (10.4%), farmers (20.3%) and unemployed persons (13.4%) were observed in the study population. Clinical diagnosis by the attending physician was based on signs and symptoms of leptospirosis, as previously described23,26. Briefly, physicians looked for epidemiological context, such as rural activities and direct contact with contaminated areas (rat urine), and clinical manifestations, including fever, myalgia, jaundice and coluria, before collecting biological samples (serum and urine) for molecular detection/confirmation of Leptospira spp. Analysis of admission records showed that 167 patients (82.7%) were seen at the emergency room and treated as outpatients, 18 patients (8.9%) were admitted to internal medicine and a7 patients (8.4%) were admitted to other departments.
The qRT-PCR-HRM assay was able to successfully distinguish 4 Leptospira spp. (L. interrogans sg Icterohaemorrhagiae, L. borgpetersenii sg Ballum, L. kirschneri sg Cynopteri and L. noguchii sg Panama) and the 2 human Leptospira isolates (HI1 and HI6). As shown in the derivative plot (Fig. 1), the LFB1 F/R and G1/G2 primer sets produced distinct melting curve profiles for reference Leptospira strains of L. interrogans and L. borgpetersenii spp. that matched those of the human Leptospira isolates (HI1 and HI6) of the same species. The Tm values obtained for LFB1 F/R were 80.71 °C (L. interrogans), 81.84 °C (L. noguchii), 82.31 °C (L. kirschneri) and 83.26 °C (L. borgpetersenii), and those for G1/G2 were 78.61 °C (L. noguchii), 79.10 °C (L. interrogans), 79.19 °C (L. kirschneri) and 81.50 °C (L. borgpetersenii). Moreover, these results were reproducible across 10 independent melt curve runs.
qRT-PCR-HRM screening of samples from patients suspected of having leptospirosis
We screened 404 clinical specimens (paired serum and urine samples from 202 patients in duplicate, n = 808 samples) using qRT-PCR-HRM analysis. The average Tm with the LFB1 F/R primers was 80.94 °C in 28 (60.9%) and 83.84 °C in 16 (39.1%) patients (Supplementary Table S2). The average Tm with the G1/G2 primers was 79.36 °C in 28 (60.9%) and 81.82 °C in 18 (39.1%) patients. For both primer sets, we found one clinical sample to be positive by nested PCR and negative by qRT-PCR-HRM. The Tm obtained with Leptospira spp. and the melting curve profile results were consistent for the remaining patient samples (Fig. 2). We clustered the melting curves in two groups and identified the Leptospira spp. in the patient samples by comparing the Tm values to those of the six Leptospira positive controls.
Kinetics of disease progression based on Leptospira detection
We evaluated paired serum and urine samples from 202 patients clinically suspected of having Leptospira spp. infection by nested PCR and qRT-PCR-HRM (Table 1). The nested PCR results were positive for 23.3% (47/202) patients and negative for 76.7% (155/202). Using qRT-PCR-HRM, the results were positive for 22.7% (46/202) patients and negative for 77.2% (156/202). The discrepant result between the two molecular assays was confirmed to be a false positive by sequencing (see below). qRT-PCR-HRM produced conclusive results in about half of the time (~2 hr) needed to generate nested PCR results (usually ~5 hr). Analysis of paired samples of the 46 laboratory-confirmed cases of leptospirosis suggested the following kinetics of disease progression (Table 2 and Fig. 3): samples which are positive only in serum (urine negative) represent patients undergoing early clinical onset of infection (incubation phase, Profile A), samples which are positive for serum and urine represent patients undergoing early dissemination and kidney colonization (early phase, Profile B) and samples which are only positive in urine (serum negative) represent patients that are excreting Leptospira (late phase, Profile C). A comparative analysis of these paired samples using both nested PCR and qRT-PCR-HRM-LFB1 primer pair showed that there is a redistribution of detection of positives between the onset and dissemination phases with nested PCR favouring dissemination (17% at onset and 61% at dissemination) and HRM gaining sensitivity at the onset of infection (35% at onset and 39% at dissemination). Differences are statistically significant by Fisher Exact test p = 0.0033. The same analysis comparing nested PCR and qRT-PCR-HRM-G1/G2 primer pair also showed a gain of sensitivity at the onset (17% to 30%, respectively), although differences in this case are not quite significant (Fisher Exact test p = 0.0763). The profile analysis also revealed that MAT highest percent positive was detected in the later excretion phase (serum negative and urine positive by molecular test) which is consistent with the kinetics of leptospirosis progression.
To benchmark Leptospira detection by qRT-PCR-HRM analysis, we performed Sanger sequencing (Fig. 4). The obtained bacterial DNA sequences confirmed the positive qRT-PCR-HRM results in 17 clinical samples. One sample (#18) was positive in the urine by nested PCR but negative by qRT-PCR-HRM. This sample was assessed twice by sequencing, qRT-PCR-HRM and nested PCR, and the sequence had a 97% match to Collinsella aerofaciens, which is found predominantly in the human gut. For the remaining samples (17/18), we observed a perfect match with the reference sequences regarding Tm values, melting curve profiles, and sequencing data.
Microscopic agglutination test (MAT)
MAT results revealed that of the 46 nested PCR-positive patients, only 3 presented specific anti-Leptospira antibodies (6.5%), and 3 presented anti-Leptospira antibodies below the cut-off titre adopted by the Portuguese Reference Laboratory for Leptospirosis in the Azorean endemic region (Table 3).
Analytical specificity and sensitivity of qRT-PCR-HRM
To validate the qRT-PCR-HRM analysis as a diagnostic method for Leptospira spp. detection, we assessed the accuracy parameters by comparing the results of nested PCR (reference molecular test) after sequencing with those obtained by qRT-PCR-HRM (Table 4). Of the 46 patients who were positive for leptospirosis by nested PCR, 46 had a positive qRT-PCR-HRM result, for a sensitivity of 1.00 (95% CI: 0.90–1.00). Moreover, of the 156 patients who were negative for leptospirosis by nested PCR, 156 had a negative qRT-PCR-HRM result, for a specificity of 1.00 (95% CI: 0.97–1.00). The PPV and NPV were 1.00 (95% CI: 0.90–1.00) and 1.00 (95% CI: 0.97–1.00), respectively. Overall, qRT-PCR-HRM accuracy was 100%. Together, these results confirm and validate the accuracy of qRT-PCR-HRM as a clinical diagnostic test for human leptospirosis.
Comparison between qRT-PCR-HRM and other qRT-PCR TaqMan chemistries
The current study is the first to present 100% accuracy values – specificity, sensitivity, positive predictive values (PPV) and negative predictive values (NPV) – for a molecular PCR method, validating the qRT-PCR-HRM as the best test to be implemented in a clinical setting (Table 4). Compared with qRT-PCR TaqMan chemistry, qRT-PCR-HRM has the highest diagnostic value (accuracy, affordability and time-to-result) making this test the best to inform treatment decisions for hospitalized patients and patients seen in emergency rooms or clinics (Table 5).
In this study, real-time PCR-HRM assay was validated for the accurate detection of Leptospira DNA using 202 paired biological samples from patients presenting in the emergency room of a hospital in the Azorean island of São Miguel, a Portuguese region endemic for leptospirosis. Among 202 human patients suspected of having leptospirosis, 46 tested positive (22.7%) by both nested PCR and qRT-PCR-HRM; among the suspected patients, only 3 tested positive (6.5%) by MAT. Melting curve profiles with the LFB1 F/R primer set distinguished the 4 Leptospira spp., L. interrogans, L. borgpetersenii, L. kirschneri and L. noguchii, in cultured bacteria and human isolates (Fig. 1). These results are in accordance with those obtained by Naze and collegues12. In addition, template-independent amplifications targeting the two relevant genes (lfb1 and secY) of pathogenic Leptospira spp. also provided a thorough validation of the present qRT-PCR-HRM assay. The 404 human samples used – paired serum and urine from 202 patients, analysed in duplicated (total of 808 specimens) – validate the application of qRT-PCR-HRM as a clinical diagnostic test for human leptospirosis in a clinical setting.
The melting curve analysis of Leptospira species in patient samples (serum and urine) accurately discriminated species when positive controls were included in each run (Fig. 2). According to the Tm, the qRT-PCR-HRM assay revealed that 60.9% (28/46) of patients were infected with leptospires belonging to L. interrogans, and 39.1% (18/46) were infected with leptospires belonging to L. borgpetersenii species (Supplementary Table S2). The most likely explanation for these results is that L. interrogans survives longer when exposed to the environment, which is why it is more prone than L. borgpetersenii to infect humans. The latter does not survive in the environment and is transmitted by direct contact with the host27. MAT is the hundred-year old gold standard method for the serodiagnosis of leptospirosis and allows for the determination of the presumptive serogroup or serovar of the infecting strain in routine diagnostics and/or epidemiological studies28. In the present study, MAT results substantiated the qRT-PCR-HRM findings, as these patients presented anti-Leptospira antibodies belonging to one of these serogroups. In addition, MAT results were positive in only 3/46 (6.5%) of the HRM-positive samples which is expected in recently infected febrile patients and explained by the typical delay period between time of infection and presence of measurable levels of antibodies in blood. Low MAT sensitivity in an early stage of disease infection was discussed previously29. In a clinical diagnostic context, this observation alone qualifies qRT-PCR-HRM as a valuable alternative to MAT by providing early unambiguous diagnosis of the disease, which can better inform treatment decisions by the physician as recommended by WHO30. The qRT-PCR-HRM method validated in the present study not only detects Leptospira in human biological samples with 100% accuracy, but also informs epidemiology of the disease by identifying the infecting species.
By conducting DNA sequencing as part of the assay validation, we determined that the leptospires infecting these patients belonged to the serogroups Icterohaemorrhagiae and Ballum (Fig. 4). These results agree with prior studies performed in the Azores Islands (São Miguel and Terceira), where the serogroups Icterohaemorrhagiae (L. interrogans) and Ballum (L. borgpetersenii) were the most frequent human23,26,31 and rodent Leptospira isolates2,32.
The profiles based on the 46 confirmed positive patients (by nested PCR and qRT-PCR-HRM) described in Table 2 are consistent with the kinetics of Leptospira infection and disease progression in humans3,27. The analysis allows us to identify the illness point at which patients presented at the hospital. Infection produces leptospiraemia within the first days after exposure, which is followed by the appearance of leptospires in multiple organs by the 3rd day of infection (incubation period and dissemination). Illness develops with the appearance of agglutinating antibodies 5–14 days after exposure (early phase). Leptospires are cleared from the bloodstream and organs in the late phase, as serum agglutinating antibody titres increase27. A higher percentage of patients in this study were seen in the early phase of the disease (Profile B, Table 2), when the immune system starts to produce antibodies and clearing Leptospira from the blood, which is why the bacteria is detected in serum and urine. Another important finding is that qRT-PCR-HRM is more sensitive than nested PCR at detecting Leptospira during the incubation period (first seven days, Profile A, Fig. 3). This finding is of clinical relevance because it allows for the immediate initiation of antibiotic therapy at the earliest onset. Regarding Profile C, 23.4% of patients presented at the hospital when Leptospira DNA is detected in the urine. This delay in coming to the hospital probably occurs because the symptoms are similar to those of flu, and patients stay at home and take conventional over-the-counter medicine. For patients with Profile C, qRT-PCR-HRM was more specific than nested PCR; one patient was positive by nested PCR and negative by HRM. Bacterial DNA sequencing of this patient’s urine sample (#18) showed a 97% match to Collinsella aerofaciens, a type of bacteria found in the human gut, proving that the nested PCR result was a false positive. This finding highlights the caution necessary when interpreting the results of assays such as nested PCR that target the rrs gene (encoding 16S rRNA), which is conserved among many bacterial species, and are thus prone to cross-reactivity19. The performance of the qRT-PCR-HRM assay was evaluated and compared with that of the reference molecular test, nested PCR (Table 4); qRT-PCR-HRM was 100% accurate. The high specificity (100%) and sensitivity (100%) of qRT-PCR-HRM in endemic regions, such as the Azores, is highly relevant. Notably, since the nested PCR technique was implemented at HDES in 2005, no patient on São Miguel Island has died of leptospirosis. According to official data in the Azores (the islands of São Miguel and Terceira) for the period between 1986 and 2002, fewer than 19 deaths due to leptospirosis were reported each year31.
In clinical diagnostic laboratories, real-time PCR methods (SYBR green and TaqMan chemistries) are increasingly being used instead of conventional PCR methods, providing the opportunity to rapidly confirm leptospirosis infection in the first days of infection. The qRT-PCR-HRM allows for accurate clinical diagnosis of leptospirosis in just 2 hours, rather than the 5 hours needed for nested PCR, the results are unambiguous and easy to interpret and due to the use of SYBR green the costs are far below those needed for TaqMan chemistry. The HRM assay is a robust molecular PCR method for the diagnosis of human leptospirosis infection in endemic regions and it can be fully implemented in routine clinical laboratories with real-time PCR equipment. Furthermore, qRT-PCR-HRM has the advantage of allowing for the distinction of Leptospira species which informs leptospirosis epidemiology in the geographic region without requiring the maintenance of large strain collections and labourious cultures. Two studies need to be highlighted as they tested several biological samples from more than 100 patients. In Cermakova et al.22 of the 295 suspected patients tested, 5% were positive by real-time PCR. In that study positive samples were assigned to urine, plasma, and CSF. Although qRT-PCR-HRM was described, it is not clear if it was used to classify positive and negative samples. Woods et al.21 did the most comprehensive study to date on diagnosis of leptospirosis using real-time PCR in blood and urine samples from 778 patients. In that study they found that ~10% of patients were positive by rss qPCR and 2.5% were positive by the more specific 16 s rRNA/LipL32 qPCR, in comparison with 3.8% patients detected by MAT and 0.4% by culture. Furthermore, they found that serum and urine are the best samples for qPCR and that quantitative PCR on hospital admission is a rapid and reliable diagnostic tool that performs better than MAT or culture. Our study in the Azores substantiates Woods’ study in Laos, and adds the following novelty to the field: (1) only in our study a paired analysis of serum and urine from the same patient was done; (2) because prevalence of leptospirosis in the Azores, Portugal was 2x to 10x higher (~23%) than Woods reports for Laos (~2.5 to ~10%) analysis of our paired samples allowed us to identify the illness point at which patients presented at the hospital. Another difference is that we did melting curve analysis which allowed us to determine that the assay is more sensitive for diagnosis of leptospirosis at the very early incubation phase (serum positive, urine negative) and we were able to identify the infecting species; all of this was done under 2 hours.
In conclusion, we did a unique comparative analysis using a robust biobank of paired samples of serum and urine from the same patient to validate the qRT-PCR-HRM assay for molecular diagnosis of human leptospirosis in a clinical setting. Furthermore, rapidly distinguishing Leptospira species while performing a rapid diagnostic test adds an epidemiological advantage to the assay over current clinical molecular diagnostic techniques.
Levett, P. N. Leptospirosis. Clin. Microbiol. Rev. 14, 296–326 (2001).
Collares-Pereira, M. et al. First epidemiological data on pathogenic leptospires isolated on the Azorean islands. Eur. J. Epidemiol. 13, 435–441 (1997).
Haake, D. A. & Levett, P. N. Leptospirosis in humans. Curr. Top. Microbiol. Immunol. 387, 65–97, https://doi.org/10.1007/978-3-662-45059-8_5 (2015).
Wittwer, C. T., Reed, G. H., Gundry, C. N., Vandersteen, J. G. & Pryor, R. J. High-resolution genotyping by amplicon melting analysis using LCGreen. Clin. Chem. 49, 853–860, https://doi.org/10.1373/49.6.853 (2003).
Tong, S. Y. & Giffard, P. M. Microbiological applications of high-resolution melting analysis. J. Clin. Microbiol. 50, 3418–3421, https://doi.org/10.1128/JCM.01709-12 (2012).
Montgomery, J. L., Sanford, L. N. & Wittwer, C. T. High-resolution DNA melting analysis in clinical research and diagnostics. Expert Rev. Mol. Diagn. 10, 219–240, https://doi.org/10.1586/erm.09.84 (2010).
Negru, S. et al. KRAS, NRAS and BRAF mutations in Greek and Romanian patients with colorectal cancer: a cohort study. BMJ Open. 4, e004652, https://doi.org/10.1136/bmjopen-2013-004652 (2014).
Chua, K. H. et al. Development of high resolution melting analysis for the diagnosis of human malaria. Sci. Rep. 5, 15671, https://doi.org/10.1038/srep15671 (2015).
Andini, N. et al. Microbial typing by machine learned DNA melt signatures. Sci. Rep. 7, 42097, https://doi.org/10.1038/srep42097 (2017).
Tulsiani, S. M. et al. High-resolution melt-curve analysis of random-amplified-polymorphic-DNA markers, for the characterisation of pathogenic Leptospira. Ann. Trop. Med. Parasitol. 104, 151–161, https://doi.org/10.1179/136485910X12607012374037 (2010).
Tulsiani, S. M. et al. High-resolution melt-curve analysis of random amplified polymorphic DNA (RAPD-HRM) for the characterisation of pathogenic leptospires: intra-serovar divergence, inter-serovar convergence, and evidence of attenuation in Leptospira reference collections. Ann. Trop. Med. Parasitol. 104, 427–437, https://doi.org/10.1179/136485910X12786389891047 (2010).
Naze, F., Desvars, A., Picardeau, M., Bourhy, P. & Michault, A. Use of new high resolution melting method for genotyping pathogenic Leptospira spp. Plos One 10, e0127430, https://doi.org/10.1371/journal.pone.0127430 (2015).
Peláez Sánchez, R. G., Quintero, J. Á. L., Pereira, M. M. & Agudelo-Flórez, P. High-resolution melting curve analysis of the 16S ribosomal gene to detect and identify pathogenic and saprophytic Leptospira species in colombian isolates. Am. J. Trop. Med. Hyg. 96, 1031–1038, https://doi.org/10.4269/ajtmh.16-0312 (2017).
Ahmed, A., Engelberts, M. F., Boer, K. R., Ahmed, N. & Hartskeerl, R. A. Development and validation of a real-time PCR for detection of pathogenic Leptospira species in clinical materials. Plos One 4, e7093, https://doi.org/10.1371/journal.pone.0007093 (2009).
Backstedt, B. T. et al. Efficient detection of pathogenic leptospires using 16S ribosomal RNA. Plos One 10, e0128913, https://doi.org/10.1371/journal.pone.0128913 (2015).
Merien, F. et al. A rapid and quantitative method for the detection of Leptospira species in human leptospirosis. FEMS Microbiol. Lett. 249, 139–147 (2005).
Thaipadungpanit, J. et al. Diagnostic accuracy of real-time PCR assays targeting 16S rRNA and lipL32 genes for human leptospirosis in Thailand: a case-control study. Plos One 6, e16236, https://doi.org/10.1371/journal.pone.0016236 (2011).
González, S. et al. Usefulness of real-time PCR assay targeting lipL32 gene for diagnosis of human leptospirosis in Uruguay. J Infect Dev Ctries 7, 941–945, https://doi.org/10.3855/jidc.4110 (2013).
Villumsen, S. et al. Novel TaqMan PCR for detection of Leptospira species in urine and blood: pit-falls of in silico validation. J. Microbiol. Methods 91, 184–190, https://doi.org/10.1016/j.mimet.2012.06.009 (2012).
Waggoner, J. J. et al. Sensitive real-time PCR detection of pathogenic Leptospira spp. and a comparison of nucleic acid amplification methods for the diagnosis of leptospirosis. Plos One 9, e112356, https://doi.org/10.1371/journal.pone.0112356 (2014).
Woods, K. et al. A comparison of two molecular methods for diagnosing leptospirosis from three different sample types in patients presenting with fever in Laos. Clin. Microbiol. Infect. pii:S1198-743X(17)30579-7, https://doi.org/10.1016/j.cmi.2017.10.017 (2017).
Cermakova, Z., Kucerova, P., Pliskova, L. & Kubickova, P. Real-time PCR method for the detection of the gene encoding surface lipoprotein LipL32 of pathogenic Leptospira: use in the laboratory diagnosis of the acute form of leptospirosis. Scand. J. Infect Dis. 45, 593–599, https://doi.org/10.3109/00365548.2013.795656 (2013).
Gonçalves, A. T. et al. First isolation of human Leptospira strains, Azores, Portugal. Int. J. Infect. Dis. 14, e148–e153, https://doi.org/10.1016/j.ijid.2009.12.004 (2010).
Mérien, F., Amouriaux, P., Perolat, P., Baranton, G. & Saint Girons, I. Polymerase chain reaction for detection of Leptospira spp. in clinical samples. J. Clin. Microbiol. 30, 2219–2224 (1992).
STARD Group. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 351, h5527, https://doi.org/10.1136/bmj.h5527 (2015).
Esteves, L. et al. Human leptospirosis: seroreactivity and genetic susceptibility in the population of São Miguel Island (Azores, Portugal). Plos One 9, e108534, https://doi.org/10.1371/journal.pone.0108534 (2014).
Ko, A. I., Goarant, C. & Picardeau, M. Leptospira: the dawn of the molecular genetics era for an emerging zoonotic pathogen. Nat. Rev. Microbiol. 10, 736–747, https://doi.org/10.1038/nrmicro2208 (2009).
Goris, M. G. & Hartskeerl R. A. Leptospirosis serodiagnosis by the microscopic agglutination test. Curr. Protoc. Microbiol. 32, Unit 12E 15 (2014).
Courdurie, C., Le Govic, Y., Bourhy, P., Alexer, D. & Pailla, K. Evaluation of different serological assays for early diagnosis of leptospirosis in Martinique (French West Indies). Plos Negl. Trop. Dis. 11, e0005678, https://doi.org/10.1371/journal.pntd.0005678 (2017).
World Health Organization. Human leptospirosis: guidence for diagnosis, surveillance, and control. WHO Library, ISBN 924154589 5, 1–107 (2003).
Vieira, M. L., Gama-Simões, M. J. & Collares-Pereira, M. Human leptospirosis in Portugal: a retrospective study of eighteen years. Int. J. Infect. Dis. 10, 378–386, https://doi.org/10.1016/j.ijid.2005.07.006 (2006).
Collares-Pereira, M., Santos-Reis M., Gonçalves, L., Vieira, M. L. & Flor, L. Epidemiology and control of leptospirosis in the Azores project. Final scientific report. USA Scientific Cooperative Agreement No. 58-401-3-F185, 2003–2008 (2008).
Riediger, I. N. et al. Rapid, actionable diagnosis of urban epidemic leptospirosis using a pathogenic Leptospira lipL32-based real-time PCR assay. PLoS Negl. Trop. Dis. 9, e0005940, https://doi.org/10.1371/journal.pntd.0005940 (2017).
The present work was supported by grants from the Direção Regional da Ciência e Tecnologia (M121/I/OLD/2002, from the Azores Government) and BioISI (Centre Reference: UID/MULTI/04046/2013) from FCT/MCTES/PIDDAC, Portugal. This work was supported by Public Health Service Grant R43AI136551 (M.G.S.) from the National Institutes of Health. The authors would like to thank Rúben Neves, a Ph.D. student at Clark University, for revising the English language of the manuscript.
The authors declare no competing interests.
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Esteves, L.M., Bulhões, S.M., Branco, C.C. et al. Diagnosis of Human Leptospirosis in a Clinical Setting: Real-Time PCR High Resolution Melting Analysis for Detection of Leptospira at the Onset of Disease. Sci Rep 8, 9213 (2018). https://doi.org/10.1038/s41598-018-27555-2
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