Next Article in Journal
Clinical Implications of High-Sensitivity Troponin Elevation Levels in Non-ST-Segment Elevation Myocardial Infarction Patients: Beyond Diagnostics
Previous Article in Journal
Peroral Pancreatoscopy-Guided Lithotripsy Compared with Extracorporeal Shock Wave Lithotripsy in the Management of Pancreatic Duct Stones in Chronic Pancreatitis: A Multicenter Retrospective Cohort Study
Previous Article in Special Issue
A Lateral-Flow Device for the Rapid Detection of Scedosporium Species
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Validation of a New Duplex Real-Time Polymerase Chain Reaction for Chlamydia trachomatis DNA Detection in Ocular Swab Samples

by
Joana da Felicidade Ribeiro Favacho
1,*,
Keren Kariene Leite
2,
Thiago Jacomasso
2,
Aline Burda Farias
2,
Luciano Chaves Franco Filho
1,
Samara Tatielle Monteiro Gomes
1,
Herald Souza dos Reis
1,
Gardene Dourado Mota
1,
Pedro Henrique de Caires Schluga
2,
Walleyd Sami Tassi
2,
Rita de Cássia Pontello Rampazzo
2,
Sheila Kay West
3,
Charlotte Ann Gaydos
4,
Antonio José Ledo Alves da Cunha
5 and
Alexandre Dias Tavares Costa
6,*
1
Evandro Chagas Institute, Secretariat of Health and Environment Surveillance, Ministry of Health (IEC/SVSA/MS), Ananindeua 67030-000, PA, Brazil
2
Institute of Molecular Biology of Paraná (IBMP), Curitiba 81350-010, PR, Brazil
3
Dana Center for Preventative Ophthalmology, Johns Hopkins University, Baltimore, MD 21287, USA
4
International Sexually Transmitted Disease Research Laboratory, Division of Infectious Diseases, Johns Hopkins University, Baltimore, MD 21218, USA
5
Institute of Studies in Public Health, Federal University of Rio de Janeiro, (IESC/UFRJ), Rio de Janeiro 21941-592, RJ, Brazil
6
Carlos Chagas Institute, Fundação Oswaldo Cruz (FIOCRUZ PR), Curitiba 81350-010, PR, Brazil
*
Authors to whom correspondence should be addressed.
Diagnostics 2024, 14(9), 892; https://doi.org/10.3390/diagnostics14090892
Submission received: 26 January 2024 / Revised: 21 March 2024 / Accepted: 26 March 2024 / Published: 25 April 2024
(This article belongs to the Special Issue Microbiology Laboratory: Sample Collection and Diagnosis Advances)

Abstract

:
Trachoma is the world-leading infectious cause of preventable blindness and is caused by the bacteria Chlamydia trachomatis. In developing countries, diagnosis is usually based on clinical evaluation. Serological-based tests are cheaper than molecular-based ones, but the latter are more sensitive and specific. The present study developed a new duplex qPCR which concomitantly detects the C. trachomatis cryptic plasmid and the human 18S rRNA gene, with an LOD95% for C. trachomatis DNA of 13.04 genome equivalents per reaction. The new qPCR was tested using 50 samples from an endemic area and 12 from a non-endemic area that were previously characterized using direct immunofluorescence assay (DFA) and clinical evaluation. Among the 50 endemic samples, 3 were found to be positive by clinical evaluation (6%), 18 were found to be positive by DFA (36%), and 48 were found to be positive by qPCR (96%). Next, the new duplex qPCR was validated using 50 samples previously characterized by qPCR. Validation was carried out on a benchtop instrument (ABI7500) or on a portable point-of-care instrument (Q3-Plus), showing 95% specificity and 100% sensitivity. The ubiquitous presence of C. trachomatis DNA in samples from the endemic region confirms that constant monitoring is of paramount importance for the effective measurement of the elimination of trachoma. The newly developed duplex qPCR presented in this study, along with its validation in a portable qPCR system, constitutes important tools toward achieving this goal.

Graphical Abstract

1. Introduction

Trachoma is a chronic infectious disease characterized by repeated infections of the ocular conjunctiva by the bacteria C. trachomatis. It is one of the leading causes of preventable blindness in developing countries, being associated with poor infrastructure and hygiene conditions (www.trachomacoalition.org accessed on 15 December 2023). In Brazil, trachoma is present in most of the country, but especially in low-socioeconomic-development areas [1].
C. trachomatis has 19 serovars, each with distinct characteristics, and trachoma is caused mainly by serovars A, B, Ba, or C [2]. Clinical symptoms include acute inflammation of the conjunctiva and cornea, high mucus production, presence of follicles, and reduced sight [3]. Depending on the intensity, the infection course can either resolve spontaneously or cause tissue fibrosis [4,5], resulting in trichiasis, damage to the cornea, and, ultimately, blindness after repeated infections [4,6]. In Brazil, trachoma diagnosis still relies on direct clinical evaluation [1]. Also, although a gold-standard method of laboratory testing has not yet been defined, some protocols allow for laboratory-based diagnostics to confirm of the condition.
Serological methods are more common than molecular-based methods, mainly due to the easiness of use and relatively lower cost, but each method has its own set of advantages and disadvantages. Direct immunofluorescence assay (DFA) has been used in some Brazilian diagnostic laboratories in recent decades, although qPCR has become more prevalent due to its greater sensitivity. DFA uses either monoclonal antibodies to detect the presence of a C. trachomatis specific protein, MOMP, or polyclonal antibodies against lipopolysaccharide (LPS) [7]. However, despite displaying high specificity, DFA’s sensitivity is low [8,9,10,11], possibly because trachoma sampling is affected by several factors, such as recent previous use of eyewash by the patient, associated infections, or even the stage of the infection. Micro-immunofluorescence methods use serovars-specific monoclonal antibodies, which increase the sensitivity for C. trachomatis detection, but this is a laborious technique that requires a trained technician to analyze the data, thus limiting its use [12].
Molecular-based protocols are faster, more sensitive, and more specific than serological-methods for detecting C. trachomatis, real-time PCR (qPCR) being the most common [11]. Several qPCR protocols have been published, mostly targeting urogenital infection [13,14,15,16,17]. Fully or semi-automated commercial tests aiming to detect the urogenital infection such as the GeneXpert CT/NG (Cepheid, Sunnyvale, CA, USA), the Aptima Combo2 CT/NG assay (Hologic, Marlborough, MA, USA), or the Amplicor CT/NG (Roche Molecular Systems, Pleasanton, CA, USA) have been shown to be very sensitive and specific for the diagnosis of trachoma [15,18,19,20,21,22]. These tests require a clinical laboratory to implement, and trachoma is prevalent in areas with low access to healthcare services and a lack of basic infrastructure, impairing the use of such sensitive instruments [21,23,24,25].
The current diagnostic strategy, which involves determining the prevalence of active trachoma through population-based surveys and acting based on the results, has made significant strides toward trachoma elimination [26]. However, considering the growing concern regarding antibiotic resistance, mass treatment of whole districts with antibiotics (the “A” in the “SAFE” strategy) might not be seen as the best choice, especially after the advent of point of care (POC) testing which allows for in loco decisions of treatment. While rapidly transporting the samples to a fully equipped laboratory in a major city partially solves the issue [15,24,25,27], it does not allow for the immediate start of treatment. The ability to immediately start treatment is regarded as a major advantage of POC tests as patients do not have to return to obtain the results of the test and start treatment [23]. Several true POC assays have been evaluated for detection of ocular C. trachomatis infections with important results [28,29,30,31], using several approaches, such as immunochromatographic lateral flow tests [32,33,34], isothermal nucleic acid amplification techniques [35], qPCR [21,36], or electrochemical detection [37], with varying limits of detection (LODs) and specificity/sensitivity values. Such differences might be attributed to the distinct target molecule and intrinsic differences between the techniques. An ideal test, however, should be able to detect a single bacterium of C. trachomatis if present in the sample, setting the desired lower limit of detection at 1 genome (which contains about 10 copies of the cryptic plasmid [38]).
The present study aimed to develop and validate a new research duplex qPCR reaction for concomitant detection of C. trachomatis cryptic plasmid and the human 18S rRNA gene in ocular swab samples, tailored for the needs of the Brazilian national health system in terms of equipment, quality, and cost, without dismissing sensitivity and specificity. We used 50 pre-characterized ocular swab samples to compare the performance of the new qPCR to the performance of a commercial test (Aptima Combo2 CT/NG assay) and found similar results. Next, the new qPCR was used to re-evaluate 50 samples from an endemic Brazilian area that were previously characterized by DFA. This comparison provides direct experimental evidence to support the use of qPCR to diagnose trachoma in the Brazilian public health system. Lastly, we validated the new duplex reaction in a portable qPCR instrument, the Q3-Plus system [39], in a first step towards the application of the test in field settings.

2. Materials and Methods

2.1. Samples

Different sample sets were used. Commercial DNA Chlamydia trachomatis DNA serovar D (cat# VR-885D) and serovar J (cat# VR-886D) were purchased from ATTC (Manassas, VA, USA) and were used in all experiments except for determination of LOD95%. For LOD95% determination, an analytical standard DNA with a certified number of genome copies was purchased from Vircell Microbiologists (cat# MBC012 lot# 19MBC012101-C01, Granada, Spain). Then, a standard curve was produced in each run as a positive control to validate the results. Partial sequences of the analytical standard DNA can be found at GenBank with accession numbers DQ231369.1, KP120855.1, and JX569833.1. Lyophilized DNA was diluted in 100 µL of molecular-grade water following the manufacturer’s instructions, resulting in a concentration of 18,000 genomes/µL for the product from Vircell and 10 ng/µL for the product from ATCC. Stock solutions were aliquoted and stored at −80 °C until use. Each commercial DNA was 1:10 serially diluted in human trachoma-negative extracted DNA for the investigation of the dynamic linear range detection. Johns Hopkins University’s patients’ samples: Fifty samples were collected using dry swabs from everted upper eyelids of trachoma patients in Tanzania [25,27], which were then characterized for the presence of C. trachomatis DNA using the Aptima Combo2 CT/NG assay (Hologic Marlborough, MA, USA), and saved in the biorepository at the Johns Hopkins University’s Chlamydia Research Laboratory (Baltimore, MD, USA). Instituto Evandro Chagas’ patients’ samples: Fifty samples were collected in an endemic area (Marajo Island, Brazil and Ananindeua, Brazil) and twelve were collected in a non-endemic area (Curitiba, Brazil). Each upper eyelid was everted and analyzed by a nurse trained in the WHO simplified classification scheme, who collected samples of individuals irrespective of clinical signs of trachoma. Samples were placed in the specific collection tube, according to the manufacturer’s instructions (digene® Female Swab Specimen Collection Kit, Qiagen, Germamtown, MA, USA). Trachoma-negative human DNA was extracted from swabs collected from everted upper eyelids of non-endemic area volunteers, aliquoted, and stored at −80 °C until use. Volunteers of the non-endemic area were selected among families with high income and education levels, further minimizing the risk for C. trachomatis presence [40,41]. On both sites, efforts were made to avoid cross-contamination during sample collection. Efforts included frequent hand washing, change of gloves between each examinee, and ensuring that the swab was placed directly into the collection tube after it touched the conjunctiva, sealing the collection tube without any further contact. A synthetic double-strand DNA molecule (IDT, Coralville, IA, USA) containing one copy of the sequence targeted by the new reaction was used to calculate the LOD95% in absolute copy numbers using serial dilutions of a stock solution of known concentration for the portable thermocycler Q3-Plus. A synthetic positive control DNA was included in each run to validate the results.

2.2. DNA Extraction

Archived de-identified patient samples from Johns Hopkins University or Evandro Chagas Institute were vortexed to homogenize the sample collection gel. Two hundred microliters of the gel were aliquoted into a clean tube for processing with QIAamp DNA Blood Mini kit (Qiagen, Germamtown, MA, USA). Samples were also processed with the DNA extraction kit High Pure PCR Template Preparation kit (Roche Applied Sciences, Penzberg, Bavieira, Germany), and results were indistinguishable (see Section 3 and Supplementary Materials, Figure S4). Extracted DNA was aliquoted and stored in a −80 °C freezer. Integrity and concentration of extracted DNA as well as protein contamination were evaluated spectrophotometrically on a Nanodrop 2000c (Thermo Scientific, Waltham, MA, USA).

2.3. qPCR Conditions

Detection of C. trachomatis cryptic plasmid DNA [42] was performed using the Multiplex PCR Mastermix (IBMP, Curitiba, Brazil) containing Taq DNA polymerase, 9 mM Mg-acetate, 0.8 mM dNTP (Thermo Scientific, Waltham, MA, USA), 5 µL of extracted DNA (1 µL in case of the portable qPCR instrument), oligonucleotides cryp05F (0.2 µM, 5′GGCGTCGTATCAAAGATATGG3′), cryp06R (0.2 µM, 5′CGATGATTTGAGCGTGTGTA3′), and cryp11P (0.1 µM, 5′FAM-TCTCGGGTTAATGTTGCATGATGCTT-BHQ1 3′) in a reaction volume of 25 µL (5 µL in the case of the portable qPCR instrument). Specific oligonucleotides were designed for concomitant detection of human 18S rRNA gene (NR_145820.1). Hence, the reaction also contained the oligonucleotides 18S2F (0.1 µM, 5′GAAACTGCGAATGGCTCATTAAATCA3′), 18S2R (0.1 µM, 5′AGAGCTAATACATGCCGACGGG3′), and 18S2P (0.05 µM, 5′HEX- TGGTTCCTTTGGTCGCTCGCTCC-BHQ13′). The complete reaction mix, including primers and probes, was produced by IBMP (Curitiba, Brazil) under current Good Manufacturing Practices (GMP). Primers and probes were purchased from IDT (Coralville, IA, USA), and were purified by reverse phase and HPLC, respectively. All six oligonucleotide sequences were tested for unspecific reaction against 55 common parasites and bacteria, but no amplification was observed (a list of the organisms is shown in Supplementary Materials, Table S1). Alignment of the targeted sequence of the cryptic plasmid from all serovars is shown in Supplementary Materials, Figure S1A. The location of the targeted sequence on the plasmid, ORF3, is shown is Supplementary Materials, Figure S1B (blue segment on red arrow). Reactions were performed and analyzed on the ABI7500 Standard instrument (software v2.0.6, Thermo Fisher Scientific—Waltham, MA, USA), with the following cycling conditions: 95 °C/10 min, 45 × [95 °C/15 s + 60 °C/1 min], and with ROX as passive fluorescence reference. The baseline was set from 3 to 15 for both targets. For C. trachomatis DNA, the threshold was set to 0.1, and quantification cycle (Cq) values between 19 and 42.50 were considered positive detections. For human DNA, the threshold was set to 0.1 and detections were considered positive and free of contaminants if Cq values were between 14 and 37. The reactions on the portable Q3-Plus system used the following cycling conditions: 97 °C/60 s, 45 × [97 °C/20 s + 64 °C/1 min], and with no passive fluorescence reference. Optical parameters for FAM channel (C. trachomatis target) were 0.5 s of exposure time, analog gain of 14, and LED power of 7. The baseline was automatically set. Optical parameters for HEX/VIC channel (human target) were 2 s of exposure time, analog gain of 16, and LED power of 10. For C. trachomatis DNA, threshold was set to 16, and quantification cycle (Cq) values between 22 and 39 were considered positive detections. For human DNA, the threshold was set to 19 and the detections were considered positive and free of contaminants if Cq values were between 14 and 32. Cq values for the human control target out of specified ranges were interpreted as an inhibition of the reaction or the failure of DNA extraction, and DNA samples were re-extracted. Non-template controls (NTC, molecular-grade water) as well as trachoma-negative human DNA were routinely used as controls. Non-template controls should show no amplification for both targets, whereas trachoma-negative controls should show positive detections for human DNA with Cq values were between 14 and 37.

2.4. Direct Immunofluorescence Detection (DFA)

Samples were methanol-fixed in glass slides, transported at 4–8 °C and stored at −20 °C until the analyses were conducted. DFA was performed according to the manufacturer’s instructions of the kit “Chlamydia T” (Biocientífica S.A., Buenos Aires, Argentina). Briefly, fixed samples were exposed to fluorescent-labelled monoclonal antibodies against anti-MOMP from C. trachomatis. Slides were analyzed in a fluorescence microscope and were considered valid when containing a minimum of 100 cells and 5 clearly visible Chlamydia antigenic structures. Positive and negative controls were performed in all DFA assays.

2.5. Statistical Analysis

All qPCR assays in the ABI7500 system were performed in technical triplicates, except for limit of detection (LOD) determination (8–12 replicates). All qPCR assays in the Q3-Plus system were performed in technical duplicates, except for limit of detection (LOD) determination (4–8 replicates). Results are expressed as mean ± standard deviation of the quantification cycle (Cq) values. Paired Student’s t-test (95% confidence level) results were calculated using GraphPad Prism v5.0 software (Boston, MA, USA). The 95% limit of detection (LOD95%) for detection of the Chlamydia genomic target was calculated by Probit regression analysis [43]. Kappa coefficient was calculated between the following: (i) the qPCR results obtained with DNA extracted with the two commercial kits (Qiagen’s Blood Mini kit and Roche’s High Pure PCR Template Preparation kit); (ii) the results obtained with the new duplex qPCR and the results of the pre-characterization of the same samples by the commercial Aptima Combo2 CT/NG assay (taken as the gold standard); (iii) the new duplex qPCR and the DFA assay or the clinical evaluation; (iv) the results obtained with the laboratory instrument ABI7500 and the portable instrument Q3-Plus. The coefficient was used to test agreement between the diagnostic methods, and Kappa results were interpreted according to the following [44,45]: 1.00–0.81—almost-perfect agreement; 0.80–0.61—substantial agreement; 0.60–0.41—moderate agreement; 0.40–0.21—fair agreement; ≤0.20—poor agreement. STARD guidelines were followed in the course of this work. An MIQE checklist is provided in Supplementary Materials, Table S2.

3. Results

3.1. qPCR Optimization and Analytical Parameters

A new duplex qPCR was developed targeting a sequence of the cryptic plasmid of C. trachomatis and a sequence of the human 18S rRNA gene. A 120 bp target sequence of the cryptic plasmid was chosen because it can be present in up to ten copies per bacterial genome [38,42] and is highly conserved, sharing 100% homology among all serovars (Supplementary Materials, Figure S1A), in accordance with previous studies [46].
The performance of the new qPCR was initially developed using commercial genomic DNA extracted from C. trachomatis DNA serovars D and/or J, since there are no significant differences in the target sequence among all serovars (Supplementary Materials, Figure S1A). The linear dynamic range for detection of the C. trachomatis is 0.1 fg/µL to 104 fg/µL when serovar J is diluted in human DNA to mimic a clinical sample (Figure 1). Representative traces of the reactions used to calculate the linear regression (red lines a–f) obtained with concomitant detection of the human 18S rRNA gene (green lines) are shown in the insert in Figure 1. Similar results were obtained using twice the concentration of oligonucleotides (that is, cryp05F at 0.4 µM, cryp06R at 0.4 µM, and cryp11P at 0.2 µM) (Supplementary Materials, Figure S2). The reaction parameters for C. trachomatis DNA detection on the benchtop equipment were as follows: efficiency of 92% (slope –3.52), R2 of 98.6%, and Y-intercept of −32.79. Table 1 shows the average ± SD of the quantification cycle (Cq) for each serovar J DNA concentration used in Figure 1, and the same data for the portable instrument Q3-Plus.
However, since DNA from ATCC contains an unknown concentration of human DNA, it is not suitable to accurately determine analytical parameters such as LOD95%. Therefore, a commercial, diagnostic-certified DNA standard for C. trachomatis with known concentration (from Vircell Microbiologists), a Probit analysis determined an LOD95% of 13.04 genome equivalents per reaction. Furthermore, when a synthetic double strand DNA containing the same genomic sequence was used as template, LOD95% reached 1.61 copies/µL, which translates to eight copies per reaction (Supplementary Materials, Figure S3 and Supplementary Materials, Tables S3 and S4) and is close to the limit of the technique of one–three copies/reaction [47]. The repeatability of the new duplex qPCR (intra-assay variability) was found to be <8.8% (highest at 0.1 fg/µL) and the reproducibility (inter-assay variability) was found to be <5.8% (highest at 0.03 fg/µL) when assayed by three independent, experienced operators.

3.2. Performance on Clinical Samples

The new duplex qPCR protocol was evaluated with real patient samples collected in Brazil that were scored by both clinical evaluation and a DFA protocol that uses a monoclonal anti-MOMP antibody, according to the recommendations of the Brazilian Ministry of Health [1]. A total of 62 samples were collected, with 50 coming from a trachoma-endemic region and 12 from a non-endemic region. Figure 2A shows the qPCR evaluation of 50 samples from a trachoma-endemic region (Marajo Island, Brazil), while Figure 2B shows the qPCR evaluation of 12 samples from a non-endemic region (Curitiba, Brazil). Green lines represent the detection of the human 18S rRNA gene. Blues lines represent the detection of the C. trachomatis cryptic plasmid DNA. Figure 2C shows the dispersion of the Cq for each sample detected in Figure 2A plotted over the linear regression of the detection of serially diluted C. trachomatis serovar J DNA. It can be observed that the samples have high Cq, highlighting the importance of the linear detection of 0.1 fg/µL (Table 1) and the non-linear detection of up to 0.01 fg/µL (Figure 2C). It should be noted that any Cq out of the linear detection range cannot be reliably quantified with the current reaction; hence, they are shown here solely to illustrate the importance of detection of low DNA concentrations. It can be observed that the specific bacterial DNA sequence can be found in most of the samples from the endemic area, while no detection was observed in the samples from the non-endemic area. C. trachomatis DNA could be identified in 48 of the 50 endemic-area samples, displaying 96% positivity. However, only three of these samples were positive for C. trachomatis (Table 2) by clinical evaluation, confirming an already-known strong disparity between the two diagnostic techniques.
The results show that samples 1–50 (endemic region) were also primarily negative for immunodetection of MOMP, whereas 48 of those were classified as “Positive” by qPCR (Table 2). This could be because the qPCR has greater sensitivity, can detect earlier/later stage infections that do not show up via immunodetection, or that the immunodetection method is qualitative and prone to errors in user scoring. Samples 51–62 (non-endemic region) were classified as “Negative” for all three diagnostic techniques (clinical evaluation, DFA, or qPCR). There was no correlation between the clinical evaluation, the number of elementary bodies (EBs) as observed by DFA, or the results of the direct immunodetection protocol with the qPCR results. Indeed, Kappa coefficient analysis showed poor correlation between clinical evaluation and qPCR or between DFA and qPCR (less than 0.2 for both cases).
DNA from Brazilian samples was extracted using two different commercial kits (Qiagen’s QIAmp DNA Blood Mini kit or Roche’s High Pure PCR Template Preparation kit) and a direct comparison of the Cq obtained for selected samples using both DNA extraction kits is shown in Supplementary Materials, Figure S4A. Supplementary Materials, Figure S4B shows the distribution of the Cq differences shown in Supplementary Figure S4A, with a mean difference of −0.8 Cq if favor of Roche’s product, which is not meaningful in this particular assay. The calculated Cohen’s kappa coefficient shows a 98% agreement (k of 0.957) between the results obtained with the extraction kits, which is considered a substantial agreement. Therefore, both kits were considered equivalent to detect C. trachomatis DNA using qPCR.
The new duplex qPCR was then validated with samples previously characterized by a distinct commercial PCR-based test, the Aptima Combo2. DNA from fifty samples analyzed by the Aptima Combo2 assay was also evaluated by the duplex qPCR on a benchtop laboratory equipment, the ABI7500 (Table 3). Samples 1–30 were previously characterized as “Positive” and samples 31–50 were characterized as “Negative” for C. trachomatis DNA. Both assays yielded the same result for all samples except for one. “Negative” sample (#34) was classified as “Inconclusive” by the qPCR because the reaction failed to detect the human DNA marker, thus invalidating the results. This sample would have to be re-processed in a clinical setting because failure to detect the human DNA might be attributed to degraded DNA template or other problems with sample collection. These data yield a true-positive rate (sensitivity) of 100% (CI95% of 88.43% to 100%) and a true-negative rate (specificity) of 100% (CI95% of 82.35 to 100%), with no false-negative or false-positive detections, and one inconclusive with our duplex qPCR test. The positive predictive value (PPV) and negative predictive value (NPV) were calculated as 100% and 99.8% (CI95% 98.9 to 99.9%), respectively (Table 4). Cohen’s kappa coefficient was calculated to be 0.957, which means that both assays (the Aptima Combo 2 and the new duplex qPCR performed on the ABI7500 instrument) are in almost-perfect agreement (98%).

3.3. Application on a Portable qPCR Instrument

Lastly, the new duplex qPCR was optimized and validated for use in a prototype POC qPCR instrument called Q3-Plus. This is a system that controls the temperature on a silicon-based chip, enabling the amplification of any targeted nucleic acid with concomitant detection of the amplification product via fluorescent signals [39]. The reaction parameters for C. trachomatis DNA detection on the portable Q3-Plus were as follows: efficiency of 83.6% (slope –3.79), R2 of 98%, and Y-intercept of 36.5. The average ± SD of the quantification cycle (Cq) for each concentration of the synthetic positive control used to evaluate the qPCR performance is shown in Table 1. Supplementary Materials, Figure S5 (panel A), shows representative traces of the detection of both C. trachomatis and human genomic targets using synthetic DNA molecules. Supplementary Materials, Figure S5 (panel B), shows the determination of an LOD95% of 79 copies/µL, which translates to 395 copies per reaction, or roughly 40 C. trachomatis genomes. Data used for LOD calculation are shown in Supplementary Materials, Table S5. Next, the previously Aptima Combo2-characterized samples were evaluated in the portable Q3-Plus system, except for sample #34, which gave inconsistent results. All positive samples were characterized as positive for the portable system, while two of the negative samples were characterized as positive (i.e., false positives) (Table 3). It should be pointed out that an additional five “Negative” samples gave positive signals for C. trachomatis DNA detection, but since four of the signals were out of the accepted positive range, they were considered “Negative” (samples #32, #33, #46, and #48). Sample #31 was considered a true false positive. These data yield a true-positive rate (sensitivity) of 100% (CI95% of 88.43% to 100%) and a true-negative rate (specificity) of 95% (CI95% of 75.13 to 99.87%), with no false-negative detections but one-positive detection. The positive predictive value (PPV) and negative predictive value (NPV) were calculated as 99.45% (CI95% 96.38 to 99.92%) and 100%, respectively (Table 4). The calculated kappa coefficient between the results obtained by the commercial test Aptima Combo 2 and the new duplex qPCR in the portable instrument Q3-Plus was found to be 0.917, which is an almost-perfect agreement (96%).

4. Discussion

The work presented here shows the development and validation of a new duplex qPCR test for detection of C. trachomatis DNA in ocular samples using a benchtop and a portable instrument. The reaction concomitantly detects a human housekeeping gene, the 18S rRNA, bringing reliability to results indicating negative detection of bacterial DNA. Detection of a host gene also controls for the reagents’ quality and adequate instrument operation, which, together with the production of reagents under current good manufacturing practices (cGMPs), ensures the high performance of the newly developed test [43].
The development of the new reaction was performed using commercial DNA, detecting concentrations of C. trachomatis DNA corresponding to levels that could be found in ocular samples. More importantly, the sequence targeted by the present reaction is conserved in the cryptic plasmid of all C. trachomatis serovars (Supplementary Materials, Figure S1A), and is in the ORF3 internal region (Supplementary Materials, Figure S1B) to avoid 377-bp ORF1 deletion. The design of new tests for different regions has been shown to be essential since mutations and deletions both in chromosomal regions and in the plasmid have affected the detection efficiency of some commercial kits [48,49,50]. Other PCR protocols, either nested, real-time, or digital, manual, or semi-automated, have also been published in recent years [13,14,15,16,18,19,51,52]. Although most were not developed for ocular samples, they have been validated for such uses, with sensitivity and specificity like those of the original sample matrix (i.e., urovaginal fluids). This is a possible explanation for their limit of detection being around 10 genomes of C. trachomatis, which is not the most suitable LOD for the detection of these bacteria in ocular samples [38]. However, much as the reaction presented herein, some published tests do reach the necessary sensitivity of 1 genome of C. trachomatis to be able to detect its low abundance in ocular swab samples [14,15,51].
The new duplex qPCR was validated using ocular samples previously characterized for the presence of C. trachomatis DNA by the Aptima Combo2 CT/NG assay, which aims for the same genomic target [25,53]. The results reached almost-perfect agreement as per the calculated kappa coefficient, with 98% of correctly identified samples. On the other hand, when the qPCR results were compared to the clinical evaluations or DFA, the agreement was considered poor very likely because of the poor sensitive and qualitative nature of the clinical evaluations and the DFA assay. Clinical examination and laboratory tests are frequently discordant, possibly due to infection kinetics [27] and the age-dependent manifestations of infection [42]. The gold-standard method for the diagnosis of C. trachomatis is still, in many countries, clinical evaluation by inspection of the patient’s everted eyelid for lesions [54,55], while some use DFA [9,10,11]. Very few diagnostic facilities perform molecular tests for trachoma determination due to the low socioeconomic level of regions that have trachoma. Thus, given the distinct nature of each test, it is important to identify and differentiate each of the tests by their requirements and biological targets. Clinical evaluation measures the number of lesions in the everted eyelid of both eyes, which requires a skilled health practitioner but few expensive tools. DFA uses antibodies to recognize the presence of C. trachomatis proteins in swab samples of the everted eyelids. DFA requires a fluorescence microscope, and it is prone to inconclusive results due to the high levels of background fluorescence; thus, a skilled professional is required here, also, to ensure accurate readings. Moreover, the DFA test threshold for positivity of >5 EBs per analysis could be questioned since the presence of EB is indicative of cellular adaptation for infection [56]. Molecular tests such as qPCR require a thermocycler to detect and amplify sequences of the bacterial genome in a very specific pattern; thus, they are more reliable than DFA. Therefore, despite recent advances, DFA still is less sensitive than qPCR [8,9,10,11,53,57,58,59,60]. Indeed, since the clinical signs of trachoma infection are not so unique [61], clinical evaluations correlate poorly with PCR detection levels in low-prevalence areas or after mass antibiotic treatments [62].
Our results corroborate the differences between all three techniques. When 62 uncharacterized samples were explored for the presence of C. trachomatis antigens (DFA) or for C. trachomatis DNA (qPCR), almost opposite results emerged (Table 4). Clinical evaluation or detection of EB by DFA showed very few positives amongst the endemic samples, while 96% were found to be positive by qPCR (48 out of 50 samples). This means that, although the patients did not show clinical signs of active infections or scars from repetitive infections, it may be that the post-infection with the bacterial DNA was still present, possibly in tissue that was not yet removed by the body; alternatively, they might be in an early, asymptomatic stage of infection. Although the high positivity found by qPCR could arise from systematic errors resulting in cross-contamination during sample collection and/or processing, the negativity of samples #2 and #41, among of the first and last samples to be collected and processed, testifies to the validity of the sample collection process and the positive qPCR results. We believe that the observed high positivity rate is due to the target population, i.e., schoolchildren. Children are more likely to not wash their hands as frequently as is necessary and to share their belongings with multiple friends, facilitating the spread of C. trachomatis in the community. In agreement with our results, Bailey and colleagues found that clinically negative subjects who were PCR-positive were more likely than PCR-negative subjects to have acquired signs of disease at 1 and 6 months of follow-up, while clinical signs were twice as likely to have resolved after 1 month in PCR-negative subjects with disease than in those who were PCR-positive [13]. Indeed, latent class analyses of clinical examination versus qPCR detection suggest that qPCR positivity is a better predictor for determining chlamydial infection than clinical inspections [63].
Importantly, considering that trachoma afflicts populations with low access to healthcare and, in several circumstances, little-to-no access to transportation to diagnostic centers, we also evaluated the new duplex qPCR in a portable qPCR system. The evaluated instrument, known as the Q3-Plus system, is a robust and simple-to-use portable platform [39] that has been shown to accurately detect DNA from protozoan parasite’s Trypanosoma cruzi or Plasmodium spp. in human blood samples [64] and to correctly genotype acute coronary syndrome patients to provide a personalized approach to selecting antiplatelet therapy and avoid bleeding events [65,66]. In this portable platform, the new qPCR was able to accurately detect C. trachomatis DNA in 96% of the pre-characterized samples, even if exhibiting a non-ideal LOD95% of 79 copies/µL. Although this is an important step towards a diagnostic solution that can reach populations that cannot access healthcare centers, the results are similar to those shown by isothermal molecular POC tests, LAMP being the most common. LAMP-based amplification of C. trachomatis DNA was evaluated in several configurations, such as coupled to a lateral flow assay [67,68] or in microfluidic chips [69,70]. Although not yet tested with clinical samples or field settings, a recently published study performing real-time digital LAMP assay followed by high-resolution melting analysis showed an LOD of 1–2 copies/μL, which is the same range as other molecular POC assays [71].
Lastly, the limitations of the qPCR technique must not be understated. Molecular assays for trachoma diagnosis might present a false-negative rate as high as 20% [63], possibly because of the infection timing or poor DNA extraction efficiencies [72,73,74,75]. However, our test could possibly eliminate some of these false-negative results with the addition of the internal human control of the 18S rRNA gene. This would identify samples with poor DNA quality and quantity due to DNA degradation or low extraction efficiencies. Second, the assay presented herein relies on the presence of the cryptic plasmid inside the bacteria, which could be missing [76,77]. However, plasmid-free infections are highly attenuated in mouse models [78,79] and plasmid-free C. trachomatis serovar A organisms no longer cause pathology in nonhuman primate ocular tissues [80]. Therefore, it is suggested that there is a selective pressure related to infectivity that maintains the cryptic plasmid in naturally occurring infections [80,81], supporting its use as target for diagnostic tests. Accordingly, a detailed analysis of clinical samples has shown that plasmid-free variants of C. trachomatis may have an incidence lower than 0.5% [78]. Some authors have also suggested that other species of Chlamydia can also cause trachomatous inflammation [82], although these infections were also found to be attenuated if the plasmid is lacking [80]. Other limitations that were not evaluated in our study include differences between conjunctival and epithelial specimens, human conjunctival cell yield, DNA extraction efficiency, and thorough removal of molecular inhibitors that may also affect test performance [72,73,74,75].

5. Conclusions

This work shows the development and validation of a new duplex qPCR that concomitantly detects C. trachomatis cryptic plasmid DNA and a human endogenous control target using a benchtop and a portable instrument. The newly developed reaction was validated against qPCR-pre-characterized samples, showing high sensitivity and specificity. It was also compared with traditional techniques for trachoma diagnosis, such as the clinical evaluation of the eyelid or direct immunofluorescence assay, showing greater overall performance. The presented qPCR may be an important research tool for monitoring patients and diagnosing trachoma in ocular samples in endemic regions as part of the effective measures for the elimination of the disease. The validation of the new qPCR in a portable instrument is a step towards this goal.

Supplementary Materials

The following Supplementary Materials can be downloaded at: https://www.mdpi.com/article/10.3390/diagnostics14090892/s1, Supplementary Materials, Figure S1. Alignment of target sequences of the cryptic plasmid and schematic representation of such sequences in the genome. Panel (A). Sequences were obtained from GenBank. Accession numbers and respective serovars are indicated. Panel (B). The 120 bp target sequence (blue segment) is located at an internal region of ORF3 (red arrow) (Putative helicase, DnaB family). Supplementary Materials, Figure S2. Panel (A) shows representative traces comparing the effect of doubling the concentration of oligonucleotides in the new qPCR for C. trachomatis DNA detection ranging from 104 to 10−1 fg/µL. Panel (B) shows the linear regression (dotted lines) as well as reactions parameters for both experimental conditions. Panel (C) shows the calculated LOD95% for each experimental condition. Supplementary Materials, Figure S3. Representative traces and probability plot for calculating the limit of detection using a synthetic positive control molecule on the ABI7500 thermocycler. Panel (A) shows representative traces of serial dilutions (100 to 106 copies) of a synthetic DNA containing the same genomic sequences of the C. trachomatis cryptic plasmid (red lines) and the human 18S rRNA (green lines). Panel (B) shows the Probit probability plot calculated using the Ct values of the reaction shown in Panel (A). The obtained value (1.61 copies/µL) corresponds to 8 copies of the target per reaction, which roughly translates to one genome of C. trachomatis (38). Supplementary Materials, Figure S4. Paired comparison of the Cq values for DNA extraction of human samples using two commercial kits, Qiagen’s Blood Mini Kit and Roche’s High Pure PCR Template Kit. Panel (A) Selected samples previously characterized by the Aptima Combo2 assay were processed using both DNA extraction kits and the resulting DNA was analyzed by the new duplex qPCR. Results are plotted as the means of each sample’s duplicate for each DNA extraction kit, directly compared to their counterparts. Panel (B) shows the distribution of the differences in Cq values obtained in Panel (A). Supplementary Materials, Figure S5. Representative traces and probability plot for calculating the limit of detection using a synthetic positive control molecule on the Q3-Plus thermocycler. Panel (A) shows representative traces of two dilutions of a synthetic DNA containing the same genomic sequences of the C. trachomatis cryptic plasmid (104 and 105 copies/µL, blue lines) and the human 18S rRNA (green lines). Panel (B) shows the Probit probability plot calculated using the Ct values of the reaction shown in Panel (A). The obtained LoD95% value (79 copies/L) corresponds to 395 copies of the target per reaction, which roughly translates to 40 genome of C. trachomatis (38). Supplementary Materials, Table S1. List of 55 organisms tested for unspecific amplification against all six oligonucleotides described in Methods. NA = not available. Supplementary Materials, Table S2. MIQE checklist. Supplementary Materials, Table S3. Data used for calculating the LOD95% using commercial DNA for C. trachomatis serovar J in the ABI7500 instrument. Supplementary Materials, Table S4. Data used for calculating the LOD95% using synthetic DNA (gBlock® IDT, IA, USA) in the ABI7500 instrument. Supplementary Materials, Table S5. Data used for calculating the LOD95% using synthetic DNA (gBlock®) in the portable Q3-Plus instrument.

Author Contributions

Conceptualization, J.d.F.R.F. and A.D.T.C.; Methodology, T.J. and L.C.F.F.; Validation, A.D.T.C., P.H.d.C.S., W.S.T. and R.d.C.P.R.; Formal Analysis, A.D.T.C., T.J., L.C.F.F., S.T.M.G. and A.B.F.; Investigation, J.d.F.R.F., K.K.L., T.J., L.C.F.F., S.T.M.G., G.D.M., A.B.F., R.d.C.P.R., C.A.G. and S.K.W.; Writing—Original Draft Preparation, J.d.F.R.F. and K.K.L.; Writing—Review and Editing, A.D.T.C., L.C.F.F. and H.S.d.R.; Visualization, J.d.F.R.F., A.D.T.C., L.C.F.F. and H.S.d.R.; Supervision, J.d.F.R.F. and A.J.L.A.d.C.; Project Administration, A.D.T.C.; Funding Acquisition, J.d.F.R.F. and A.D.T.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was partially funded by the Banco Nacional de Desenvolvimento Econômico e Social (BNDES, contract no. 15.2.0473.1, operation #4.816.864). BNDES had no participation in the study’s design, data collection, analysis, interpretation, or writing of the report, or decision to submit for publication. The research was also funded with resources from the National Health Fund, decentralized to the Evandro Chagas Institute through action 10.571.5020.20QF.0001 - Research, Teaching and Technological Innovations in Biomedical and Tropical Medicine and the Environment/National. K.K.LP.H.C.S., W.T., T.J., R.C.P.R., and A.B.F. received fellowships from BNDES via the Fundação de Desenvolvimento Científico e Tecnológico em Saúde (FIOTEC).

Institutional Review Board Statement

The Johns Hopkins University’s Institutional Review Board approved the samples collection in Tanzania under approval number IRB00096404 (approval date: 10 August 2015), which were then stored at the biorepository at the Chlamydia Research Laboratory (Baltimore, USA). The Ethics Committee of the Instituto Evandro Chagas, under the CAEE number 48053415.3.0000.0019 (approval date: 1 February 2016), approved all samples collection in Brazil. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of Johns Hopkins University’s and Instituto Evandro Chagas.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

ADTC is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of data analysis.

Acknowledgments

The authors would like to thank the Programa de Pós-graduação em Saúde Coletiva of the Instituto de Saúde Coletiva at the Federal University of Rio de Janeiro (UFRJ), Maria de Fátima Costa Lopes and Daniela Vaz Ferreira at the Coordenação Geral de Vigilância das Doenças em Eliminação (CGDE/SVS/MS) for the institutional support, and the Instituto Evandro Chagas for excellent technical assistance as well as for institutional support. The authors would like to express their gratitude for the invaluable assistance of Martha Saboya and Isabelle Roger (Pan American Health Organization—PAHO) in the logistics for obtaining the qPCR-validated samples. Finally, the authors would like to express their deepest gratitude for all patient subjects that participated in this work.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Brazil, Ministry of Health. Guia Prático para Operacionalização da Campanha Nacional de Hanseníase, Verminoses, Tracoma e Esquistossomose; Ministério da Saúde: Brasilia, Brasil, 2016. [Google Scholar]
  2. Wright, H.R.; Turner, A.; Taylor, H.R. Trachoma. Lancet 2008, 371, 1945–1954. [Google Scholar] [CrossRef] [PubMed]
  3. Stewart, M.W.; Liesegang, T.J.; Schwam, B.L. Chlamydia Conjunctivitis and Central Retinal Vein Occlusion. Am. J. Ophthalmol. 2005, 140, 161–162. [Google Scholar] [CrossRef] [PubMed]
  4. Guzey, M.; Ozardali, I.; Basar, E.; Aslan, G.; Satici, A.; Karadede, S. A survey of trachoma: The histopathology and the mechanism of progressive cicatrization of eyelid tissues. Ophthalmologica 2000, 214, 277–284. [Google Scholar] [CrossRef] [PubMed]
  5. Lucena, A.; Akaishi, P.M.S.; de Rodrigues, M.L.V.; Cruz, A.A.V. Upper eyelid entropion and dry eye in cicatricial trachoma without trichiasis. Arq. Bras. Oftalmol. 2012, 75, 420–422. [Google Scholar] [CrossRef] [PubMed]
  6. Rajak, S.N.; Habtamu, E.; Weiss, H.A.; Bedri, A.; Gebre, T.; Bailey, R.L.; Mabey, D.C.W.; Khaw, P.T.; Gilbert, C.E.; Emerson, P.M.; et al. The clinical phenotype of trachomatous trichiasis in Ethiopia: Not all trichiasis is due to entropion. Investig. Ophthalmol. Vis. Sci. 2011, 52, 7974–7980. [Google Scholar] [CrossRef] [PubMed]
  7. Seadi, C.F.; Oravec, R.; Poser B von Cantarelli, V.V.; Rossetti, M.L. Diagnóstico laboratorial da infecção pela Chlamydia trachomatis: Vantagens e desvantagens das técnicas. J. Bras. Patol. Med. Lab. 2002, 38, 125–133. [Google Scholar] [CrossRef]
  8. Papp, J.R.; Schachter, J.; Gaydos, C.A.; Van Der Pol, B. Recommendations for the laboratory-based detection of Chlamydia trachomatis and Neisseria gonorrhoeae—2014. MMWR Recomm. Rep. Morb. Mortal. Wkly. Rep. Recomm. Rep. 2014, 63, 1–19. [Google Scholar]
  9. Nishiwaki-Dantas, M.C.; de Abreu, M.T.; de Melo, C.M.; Romero, I.L.; Neto, R.B.M.; Dantas, P.E.C. Direct fluorescent antibody assay and polymerase chain reaction for the detection of Chlamydia trachomatis in patients with vernal keratoconjunctivitis. Clinics 2011, 66, 2013–2018. [Google Scholar] [CrossRef]
  10. Neinstein, L.S.; Rabinovitz, S. Detection of Chlamydia trachomatis. A study of the direct immunofluorescence technique and a review diagnostic limitation. J. Adolesc. Health Care 1989, 10, 10–15. [Google Scholar] [CrossRef]
  11. Fredlund, H.; Falk, L.; Jurstrand, M.; Unemo, M. Molecular genetic methods for diagnosis and characterisation of Chlamydia trachomatis and Neisseria gonorrhoeae: Impact on epidemiological surveillance and interventions. APMIS Acta Pathol. Microbiol. Immunol. Scand. 2004, 112, 771–784. [Google Scholar] [CrossRef]
  12. Wang, S. The Microimmunofluorescence Test for Chlamydia pneumoniae Infection: Technique and Interpretation. J. Infect. Dis. 2000, 181, S421–S425. [Google Scholar] [CrossRef] [PubMed]
  13. Bailey, R.L.; Hampton, T.J.; Hayes, L.J.; Ward, M.E.; Whittle, H.C.; Mabey, D.C. Polymerase chain reaction for the detection of ocular chlamydial infection in trachoma-endemic communities. J. Infect. Dis. 1994, 170, 709–712. [Google Scholar] [CrossRef] [PubMed]
  14. Nakano, S.; Sugita, S.; Tomaru, Y.; Hono, A.; Nakamuro, T.; Kubota, T.; Takase, H.; Mochizuki, M.; Takahashi, M.; Shimizu, N. Establishment of multiplex solid-phase strip PCR test for detection of 24 ocular infectious disease pathogens. Investig. Ophthalmol. Vis. Sci. 2017, 58, 1553–1559. [Google Scholar] [CrossRef] [PubMed]
  15. Roberts, C.H.; Last, A.; Molina-Gonzalez, S.; Cassama, E.; Butcher, R.; Nabicassa, M.; McCarthy, E.; Burr, S.E.; Mabey, D.C.; Bailey, R.L.; et al. Development and Evaluation of a Next-Generation Digital PCR Diagnostic Assay for Ocular Chlamydia trachomatis Infections. J. Clin. Microbiol. 2013, 51, 2195–2203. [Google Scholar] [CrossRef] [PubMed]
  16. Wei, H.; Zou, S.; Yang, X.; Yang, D.; Chen, X. Development of multiplex real-time quantitative PCR for simultaneous detection of Chlamydia trachomatis and Ureaplasma parvum. Clin. Biochem. 2012, 45, 663–667. [Google Scholar] [CrossRef] [PubMed]
  17. Stevens, M.P.; Twin, J.; Fairley, C.K.; Donovan, B.; Tan, S.E.; Yu, J.; Garland, S.M.; Tabrizi, S.N. Development and evaluation of an ompA quantitative real-time PCR assay for Chlamydia trachomatis serovar determination. J. Clin. Microbiol. 2010, 48, 2060–2065. [Google Scholar] [CrossRef] [PubMed]
  18. Yang, J.L.; Hong, K.C.; Schachter, J.; Moncada, J.; Lekew, T.; House, J.I.; Zhou, Z.; Neuwelt, M.D.; Rutar, T.; Halfpenny, C.; et al. Detection of Chlamydia trachomatis ocular infection in trachoma-endemic communities by rRNA amplification. Investig. Ophthalmol. Vis. Sci. 2009, 50, 90–94. [Google Scholar] [CrossRef] [PubMed]
  19. Pickering, H.; Holland, M.J.; Last, A.R.; Burton, M.J.; Burr, S.E. Evaluation of a Chlamydia trachomatis-specific, commercial, real-time PCR for use with ocular swabs. Parasites Vectors 2018, 11, 1–5. [Google Scholar] [CrossRef] [PubMed]
  20. Stare, D.; Harding-Esch, E.; Munoz, B.; Bailey, R.; Mabey, D.; Holland, M.; PRET Study Group. Design and baseline data of a randomized trial to evaluate coverage and frequency of mass treatment with azithromycin: The partnership for rapid elimination of trachoma (PRET) in Tanzania and the Gambia. Ophthalm. Epidemiol. 2011, 18, 20–29. [Google Scholar] [CrossRef]
  21. Jenson, A.; Dize, L.; Mkocha, H.; Munoz, B.; Lee, J.; Gaydos, C.; Quinn, T.; West, S.K. Field Evaluation of the Cepheid GeneXpert Chlamydia trachomatis Assay for Detection of Infection in a Trachoma Endemic Community in Tanzania. PLoS Negl. Trop. Dis. 2013, 7, e2265. [Google Scholar] [CrossRef]
  22. Kowalski, R.P.; Thompson, P.P.; Kinchington, P.R.; Gordon, J.Y. Evaluation of the SmartCycler II System for Real-Time Detection of Viruses and Chlamydia from Ocular Specimens. Arch. Ophthalmol. 2006, 124, 1135–1139. [Google Scholar] [CrossRef]
  23. Pai, N.P.; Vadnais, C.; Denkinger, C.; Engel, N.; Pai, M. Point-of-Care Testing for Infectious Diseases: Diversity, Complexity, and Barriers in Low- and Middle-Income Countries. PLoS Med. 2012, 9, e1001306. [Google Scholar] [CrossRef] [PubMed]
  24. Dize, L.; Gaydos, C.A.; Quinn, T.C.; West, S.K. Stability of Chlamydia trachomatis on storage of dry swabs for accurate detection by nucleic acid amplification tests. J. Clin. Microbiol. 2015, 53, 1046–1047. [Google Scholar] [CrossRef]
  25. Dize, L.; West, S.; Quinn, T.C.; Gaydos, C.A. Pooling ocular swab specimens from Tanzania for testing by Roche Amplicor and Aptima Combo 2 assays for the detection of Chlamydia trachomatis: Accuracy and cost-savings. Diagn. Microbiol. Infect. Dis. 2013, 77, 289–291. [Google Scholar] [CrossRef]
  26. Tian, L.; Wang, N.-L. Trachoma control: The SAFE strategy. Int. J. Ophthalmol. 2018, 11, 1887–1888. [Google Scholar]
  27. Dize, L.; West, S.; Williams, J.A.; Van Der Pol, B.; Quinn, T.C.; Gaydos, C.A. Comparison of the Abbott m2000 RealTime CT Assay and the Cepheid GeneXpert CT/NG Assay to the Roche Amplicor CT Assay for Detection of Chlamydia trachomatis in Ocular Samples from Tanzania. J. Clin. Microbiol. 2013, 51, 1611–1613. [Google Scholar] [CrossRef] [PubMed]
  28. Gaydos, C.; Hardick, J. Point of care diagnostics for sexually transmitted infections: Perspectives and advances. Expert Rev. Anti-Infect. Ther. 2014, 12, 657–672. [Google Scholar] [CrossRef] [PubMed]
  29. Meyer, T. Diagnostic Procedures to Detect Chlamydia trachomatis Infections. Microorganisms 2016, 4, 25. [Google Scholar] [CrossRef]
  30. Herbst de Cortina, S.; Bristow, C.C.; Joseph Davey, D.; Klausner, J.D. A Systematic Review of Point of Care Testing for Chlamydia trachomatis, Neisseria gonorrhoeae, and Trichomonas vaginalis. Infect. Dis. Obstet. Gynecol. 2016, 2016, 4386127. [Google Scholar] [CrossRef]
  31. Cristillo, A.D.; Bristow, C.C.; Peeling, R.; Van Der Pol, B.; de Cortina, S.H.; Dimov, I.K.; Pai, N.P.; Shin, D.J.; Chiu, R.Y.T.; Klapperich, C.; et al. Point-of-Care Sexually Transmitted Infection Diagnostics: Proceedings of the STAR Sexually Transmitted Infection-Clinical Trial Group Programmatic Meeting. Sex. Transm. Dis. 2017, 44, 211–218. [Google Scholar] [CrossRef]
  32. Hislop, J.; Quayyum, Z.; Flett, G.; Boachie, C.; Fraser, C.; Mowatt, G. Systematic review of the clinical effectiveness and cost-effectiveness of rapid point-of-care tests for the detection of genital chlamydia infection in women and men. Health Technol. Assess. 2010, 14. [Google Scholar] [CrossRef] [PubMed]
  33. Michel, C.-E.C.; Roper, K.G.; Divena, M.A.; Lee, H.H.; Taylor, H.R. Correlation of clinical trachoma and infection in Aboriginal communities. PLoS Negl. Trop. Dis. 2011, 5, e986. [Google Scholar] [CrossRef] [PubMed]
  34. Harding-Esch, E.M.; Holland, M.J.; Schémann, J.-F.; Molina, S.; Sarr, I.; Andreasen, A.A.; Roberts, C.H.; Sillah, A.; Sarr, B.; Harding, E.F.; et al. Diagnostic accuracy of a prototype point-of-care test for ocular Chlamydia trachomatis under field conditions in The Gambia and Senegal. PLoS Negl. Trop. Dis. 2011, 5, e1234. [Google Scholar] [CrossRef]
  35. Krõlov, K.; Frolova, J.; Tudoran, O.; Suhorutsenko, J.; Lehto, T.; Sibul, H.; Mäger, I.; Laanpere, M.; Tulp, I.; Langel, Ü. Sensitive and rapid detection of Chlamydia trachomatis by recombinase polymerase amplification directly from urine samples. J. Mol. Diagn. JMD 2014, 16, 127–135. [Google Scholar] [CrossRef]
  36. Turingan, R.S.; Kaplun, L.; Krautz-Peterson, G.; Norsworthy, S.; Zolotova, A.; Joseph, S.J.; Read, T.D.; Dean, D.; Tan, E.; Selden, R.F. Rapid detection and strain typing of Chlamydia trachomatis using a highly multiplexed microfluidic PCR assay. PLoS ONE 2017, 12, e0178653. [Google Scholar] [CrossRef]
  37. Pearce, D.M.; Shenton, D.P.; Holden, J.; Gaydos, C.A. Evaluation of a Novel Electrochemical Detection Method for Chlamydia trachomatis: Application for Point-of-Care Diagnostics. IEEE Trans. Biomed. Eng. 2011, 58, 755–758. [Google Scholar] [CrossRef]
  38. Stephens, R.S.; Kalman, S.; Lammel, C.; Fan, J.; Marathe, R.; Aravind, L.; Mitchell, W.; Olinger, L.; Tatusov, R.L.; Zhao, Q.; et al. Genome Sequence of an Obligate Intracellular Pathogen of Humans: Chlamydia trachomatis. Science 1998, 282, 754–759. [Google Scholar] [CrossRef]
  39. Cereda, M.; Cocci, A.; Cucchi, D.; Raia, L.; Pirola, D.; Bruno, L.; Ferrari, P.; Pavanati, V.; Calisti, G.; Ferrara, F.; et al. Q3: A Compact Device for Quick, High Precision qPCR. Sensors 2018, 18, 2583. [Google Scholar] [CrossRef]
  40. de Luna, E.J.A.; de Lopes, M.F.C.; Medina, N.H.; Favacho, J.; Cardoso, M.R.A. Prevalence of Trachoma in Schoolchildren in Brazil. Ophthalm. Epidemiol. 2016, 23, 360–365. [Google Scholar] [CrossRef]
  41. Abreu Caligaris, L.S.; Miyake Morimoto, W.T.; Medina, N.H.; Waldman, E.A. Trachoma prevalence and risk factors among preschool children in a central area of the city of São Paulo, Brazil. Ophthalm. Epidemiol. 2006, 13, 365–370. [Google Scholar] [CrossRef]
  42. Bastidas, R.J.; Elwell C a Engel, J.N.; Valdivia, R.H. Chlamydial intracellular survival strategies. Cold Spring Harbor Perspect. Med. 2013, 3, a010256. [Google Scholar] [CrossRef]
  43. Burd, E.M. Validation of laboratory-developed molecular assays for infectious diseases. Clin. Microbiol. Rev. 2010, 23, 550–576. [Google Scholar] [CrossRef] [PubMed]
  44. Landis, J.R.; Koch, G.G. The Measurement of Observer Agreement for Categorical Data. Biometrics 1977, 33, 159. [Google Scholar] [CrossRef]
  45. McHugh, M.L. Interrater reliability: The kappa statistic. Biochem. Med. 2012, 22, 276–282. [Google Scholar] [CrossRef]
  46. Comanducci, M.; Ricci, S.; Cevenini, R.; Ratti, G. Diversity of the Chlamydia trachomatis common plasmid in biovars with different pathogenicity. Plasmid 1990, 23, 149–154. [Google Scholar] [CrossRef] [PubMed]
  47. Kralik, P.; Ricchi, M. A Basic Guide to Real Time PCR in Microbial Diagnostics: Definitions, Parameters, and Everything. Front. Microbiol. 2017, 8, 239909. [Google Scholar] [CrossRef] [PubMed]
  48. Hadad, R.; Fredlund, H.; Unemo, M. Evaluation of the new COBAS TaqMan CT test v2.0 and impact on the proportion of new variant Chlamydia trachomatis by the introduction of diagnostics detecting new variant C trachomatis in Orebro county, Sweden. Sex. Transm. Infect. 2009, 85, 190–193. [Google Scholar] [CrossRef] [PubMed]
  49. Ripa, T.; Nilsson, P.A. A Chlamydia trachomatis strain with a 377-bp deletion in the cryptic plasmid causing false-negative nucleic acid amplification tests. Sex. Transm. Dis. 2007, 34, 255–256. [Google Scholar] [CrossRef] [PubMed]
  50. Roberts, D.J.; Davis, G.S.; Cole, M.J.; Naik, D.; Maru, H.; Woodford, N.; Muir, P.; Horner, P.; Simms, I.; Thickett, G.; et al. Prevalence of new variants of Chlamydia trachomatis escaping detection by the Aptima Combo 2 assay, England, June to August 2019. Eurosurveillance 2019, 24, 1900557. [Google Scholar] [CrossRef]
  51. Butcher, R.; Houghton, J.; Derrick, T.; Ramadhani, A.; Herrera, B.; Last, A.R.; Massae, P.A.; Burton, M.J.; Holland, M.J.; Roberts, C.H. Reduced-cost Chlamydia trachomatis-specific multiplex real-time PCR diagnostic assay evaluated for ocular swabs and use by trachoma research programmes. J. Microbiol. Methods 2017, 139, 95–102. [Google Scholar] [CrossRef]
  52. Tang, R.H.; Yang, H.; Choi, J.R.; Gong, Y.; Feng, S.S.; Pingguan-Murphy, B.; Huang, Q.S.; Shi, J.L.; Mei, Q.B.; Xu, F. Advances in paper-based sample pretreatment for point-of-care testing. Crit. Rev. Biotechnol. 2016, 37, 411–428. [Google Scholar] [CrossRef] [PubMed]
  53. Gaydos, C.A.; Quinn, T.C.; Willis, D.; Weissfeld, A.; Hook, E.W.; Martin, D.H.; Ferrero, D.V.; Schachter, J. Performance of the APTIMA Combo 2 assay for detection of Chlamydia trachomatis and Neisseria gonorrhoeae in female urine and endocervical swab specimens. J. Clin. Microbiol. 2003, 41, 304–309. [Google Scholar] [CrossRef] [PubMed]
  54. Solomon, A.W.; Peeling, R.W.; Foster, A.; Mabey, D.C.W. Diagnosis and Assessment of Trachoma. Clin. Microbiol. Rev. 2004, 17, 982–1011. [Google Scholar] [CrossRef] [PubMed]
  55. Ramadhani, A.M.; Derrick, T.; Macleod, D.; Holland, M.J.; Burton, M.J. The Relationship between Active Trachoma and Ocular Chlamydia trachomatis Infection before and after Mass Antibiotic Treatment. PLoS Negl. Trop. Dis. 2016, 10, e0005080. [Google Scholar] [CrossRef]
  56. Skipp, P.J.S.; Hughes, C.; McKenna, T.; Edwards, R.; Langridge, J.; Thomson, N.R.; Clarke, I.N. Quantitative Proteomics of the Infectious and Replicative Forms of Chlamydia trachomatis. PLoS ONE 2016, 11, e0149011. [Google Scholar] [CrossRef] [PubMed]
  57. Domeika, M. Diagnosis of infections due to Chlamydia trachomatis. Acta Obstet. Gynecol. Scand. Suppl. 1997, 164, 121–127. [Google Scholar]
  58. Schachter, J. Which test is best for chlamydia? Curr. Opin. Infect. Dis. 1999, 12, 41–45. [Google Scholar] [CrossRef] [PubMed]
  59. Workowski, K.A.; Bolan, G.A. Sexually transmitted diseases treatment guidelines, 2015. MMWR Recomm. Rep. Morb. Mortal. Wkly. Report. Recomm. Rep. 2015, 64, 1–137. [Google Scholar]
  60. Elnifro, E.M.; Storey, C.C.; Morris, D.J.; Tullo, A.B. Polymerase chain reaction for detection of Chlamydia trachomatis in conjunctival swabs. Br. J. Ophthalmol. 1997, 81, 497–500. [Google Scholar] [CrossRef]
  61. Burton, M.J.; Holland, M.J.; Faal, N.; Aryee, E.A.N.; Alexander, N.D.E.; Bah, M.; Faal, H.; West, S.K.; Foster, A.; Johnson, G.J.; et al. Which members of a community need antibiotics to control trachoma? Conjunctival Chlamydia trachomatis infection load in Gambian villages. Investig. Ophthalmol. Vis. Sci. 2003, 44, 4215–4222. [Google Scholar] [CrossRef]
  62. Baral, K.; Osaki, S.; Shreshta, B.; Panta, C.R.; Boulter, A.; Pang, F.; Cevallos, V.; Schachter, J.; Lietman, T. Reliability of clinical diagnosis in identifying infectious trachoma in a low-prevalence area of Nepal. Bull. World Health Organ. 1999, 77, 461–466. [Google Scholar] [PubMed]
  63. See, C.W.; Alemayehu, W.; Melese, M.; Zhou, Z.; Porco, T.C.; Shiboski, S.; Gaynor, B.D.; Eng, J.; Keenan, J.D.; Lietman, T.M. How reliable are tests for trachoma?—A latent class approach. Investig. Ophthalmol. Vis. Sci. 2011, 52, 6133–6137. [Google Scholar] [CrossRef] [PubMed]
  64. Rampazzo, R.C.; Graziani, A.C.; Leite, K.K.; Surdi, J.A.; Biondo, C.A.; Costa, M.L.; Jacomasso, T.; Cereda, M.; De Fazio, M.; Bianchessi, M.A.; et al. Proof of Concept for a Portable Platform for Molecular Diagnosis of Tropical Diseases. J. Mol. Diagn. 2019, 21, 839–851. [Google Scholar] [CrossRef] [PubMed]
  65. Notarangelo, F.M.; Maglietta, G.; Bevilacqua, P.; Cereda, M.; Merlini, P.A.; Villani, G.Q.; Moruzzi, P.; Patrizi, G.; Tagliazucchi, G.M.; Crocamo, A.; et al. Pharmacogenomic Approach to Selecting Antiplatelet Therapy in Patients with Acute Coronary Syndromes. J. Am. Coll. Cardiol. 2018, 71, 1869–1877. [Google Scholar] [CrossRef] [PubMed]
  66. Marziliano, N.; Notarangelo, M.F.; Cereda, M.; Caporale, V.; Coppini, L.; Demola, M.A.; Guidorossi, A.; Crocamo, A.; Pigazzani, F.; Boffetti, F.; et al. Rapid and portable, lab-on-chip, point-of-care genotyping for evaluating clopidogrel metabolism. Clin. Chim. Acta 2015, 451, 240–246. [Google Scholar] [CrossRef] [PubMed]
  67. Chen, X.; Zhou, Q.; Tan, Y.; Wang, R.; Wu, X.; Liu, J.; Liu, R.; Wang, S.; Dong, S. Nanoparticle-Based Lateral Flow Biosensor Integrated with Loop-Mediated Isothermal Amplification for Rapid and Visual Identification of Chlamydia trachomatis for Point-of-Care Use. Front. Microbiol. 2022, 13, 914620. [Google Scholar] [CrossRef] [PubMed]
  68. Chen, X.; Zhou, Q.; Yuan, W.; Shi, Y.; Dong, S.; Luo, X. Visual and rapid identification of Chlamydia trachomatis and Neisseria gonorrhoeae using multiplex loop-mediated isothermal amplification and a gold nanoparticle-based lateral flow biosensor. Front. Cell. Infect. Microbiol. 2023, 13, 1067554. [Google Scholar] [CrossRef]
  69. Xu, X.; Jia, Y.; Li, R.; Wen, Y.; Liang, Y.; Lao, G.; Liu, X.; Zhou, W.; Liu, H.; Xie, J.; et al. Rapid and simultaneous detection of multiple pathogens in the lower reproductive tract during pregnancy based on loop-mediated isothermal amplification-microfluidic chip. BMC Microbiol. 2022, 22, 260. [Google Scholar] [CrossRef] [PubMed]
  70. Derrick, T.R.; Sandetskaya, N.; Pickering, H.; Kölsch, A.; Ramadhani, A.; Mafuru, E.; Massae, P.; Malisa, A.; Mtuy, T.; Burton, M.J.; et al. DjinniChip: Evaluation of a novel molecular rapid diagnostic device for the detection of Chlamydia trachomatis in trachoma-endemic areas. Parasites Vectors 2020, 13, 533. [Google Scholar] [CrossRef]
  71. Rolando, J.C.; Jue, E.; Barlow, J.T.; Ismagilov, R.F. Real-time kinetics and high-resolution melt curves in single-molecule digital LAMP to differentiate and study specific and non-specific amplification. Nucleic Acids Res. 2020, 48, e42. [Google Scholar] [CrossRef]
  72. Markoulatos, P.; Siafakas, N.; Moncany, M. Multiplex polymerase chain reaction: A practical approach. J. Clin. Lab. Anal. 2002, 16, 47–51. [Google Scholar] [CrossRef] [PubMed]
  73. de Barbeyrac, B.; Goldschmidt, P.; Malembic, S.; Raherison, S.; Clerc, M.; Bodaghi, B.; Bébéar, C.; Chaumeil, C. Quality assessment of conjunctival specimens for detection of Chlamydia trachomatis by PCR in children with active trachoma. Clin. Microbiol. Infect. 2007, 13, 689–694. [Google Scholar] [CrossRef] [PubMed]
  74. Lorenz, T.C. Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies. J. Vis. Exp. 2012, 63, e3998. [Google Scholar]
  75. Arya, M.; Shergill, I.S.; Williamson, M.; Gommersall, L.; Arya, N.; Patel, H.R. Basic principles of real-time quantitative PCR. Expert Rev. Mol. Diagn. 2005, 5, 209–219. [Google Scholar] [CrossRef]
  76. Tothard, D.R.; Williams, J.A.; Van Der Pol, B.; Jones, R.B. Identification of a Chlamydia trachomatis serovar E urogenital isolate which lacks the cryptic plasmid. Infect. Immun. 1998, 66, 6010–6013. [Google Scholar] [CrossRef] [PubMed]
  77. An, Q.; Radcliffe, G.; Vassallo, R.; Buxton, D.; O’Brien, W.J.; Pelletier, D.A.; Weisburg, W.G.; Klinger, J.D.; Olive, D.M. Infection with a plasmid-free variant Chlamydia related to Chlamydia trachomatis identified by using multiple assays for nucleic acid detection. J. Clin. Microbiol. 1992, 30, 2814–2821. [Google Scholar] [CrossRef] [PubMed]
  78. Russell, M.; Darville, T.; Chandra-Kuntal, K.; Smith, B.; Andrews, C.W.; O’Connell, C.M. Infectivity acts as in vivo selection for maintenance of the chlamydial cryptic plasmid. Infect. Immun. 2011, 79, 98–107. [Google Scholar] [CrossRef] [PubMed]
  79. Lei, L.; Chen, J.; Hou, S.; Ding, Y.; Yang, Z.; Zeng, H.; Baseman, J.; Zhong, G. Reduced live organism recovery and lack of hydrosalpinx in mice infected with plasmid-free Chlamydia muridarum. Infect. Immun. 2014, 82, 983–992. [Google Scholar] [CrossRef] [PubMed]
  80. Kari, L.; Whitmire, W.M.; Olivares-Zavaleta, N.; Goheen, M.M.; Taylor, L.D.; Carlson, J.H.; Sturdevant, G.L.; Lu, C.; Bakios, L.E.; Randall, L.B.; et al. A live-attenuated chlamydial vaccine protects against trachoma in nonhuman primates. J. Exp. Med. 2011, 208, 2217–2223. [Google Scholar] [CrossRef]
  81. Zhong, G. Chlamydial Plasmid-Dependent Pathogenicity. Trends Microbiol. 2017, 25, 141–152. [Google Scholar] [CrossRef]
  82. Dean, D.; Kandel, R.P.; Adhikari, H.K.; Hessel, T. Multiple Chlamydiaceae Species in Trachoma: Implications for Disease Pathogenesis and Control. PLoS Med. 2008, 5, e14. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Linear dynamic range for detection of the C. trachomatis genomic target in serovar J DNA. C. trachomatis DNA was serially diluted in human DNA and evaluated using the new duplex qPCR. The reaction shows efficiency of 92% and R2 of 98.6%. Insert in Figure 1 shows representative traces of the reactions used to calculate the linear regression (red lines a–f, ranging from 1 fg/µL to 10 pg/µL), obtained with concomitant detection of the human 18S rRNA gene (green lines). Traces and linear regression are representative of more than 10 independent experiments with 3–12 replicates per run for each concentration. Samples replicate (red square).
Figure 1. Linear dynamic range for detection of the C. trachomatis genomic target in serovar J DNA. C. trachomatis DNA was serially diluted in human DNA and evaluated using the new duplex qPCR. The reaction shows efficiency of 92% and R2 of 98.6%. Insert in Figure 1 shows representative traces of the reactions used to calculate the linear regression (red lines a–f, ranging from 1 fg/µL to 10 pg/µL), obtained with concomitant detection of the human 18S rRNA gene (green lines). Traces and linear regression are representative of more than 10 independent experiments with 3–12 replicates per run for each concentration. Samples replicate (red square).
Diagnostics 14 00892 g001
Figure 2. Detection of C. trachomatis DNA in human samples. Samples from an endemic and a non-endemic region in Brazil were collected and their DNA extracted as described in Section 2. Panel (A) shows the detection of C. trachomatis DNA (blue lines) parallel to the detection of human DNA (green lines) in samples from the endemic area. Panel (B) shows the detection of human DNA (green lines) but no C. trachomatis DNA in samples from the non-endemic area. Panel (C) shows the quantification of C. trachomatis DNA present in each of the positive samples (blue circles) based on the linear regression obtained with serial dilutions of C. trachomatis serovar J DNA (red circles).
Figure 2. Detection of C. trachomatis DNA in human samples. Samples from an endemic and a non-endemic region in Brazil were collected and their DNA extracted as described in Section 2. Panel (A) shows the detection of C. trachomatis DNA (blue lines) parallel to the detection of human DNA (green lines) in samples from the endemic area. Panel (B) shows the detection of human DNA (green lines) but no C. trachomatis DNA in samples from the non-endemic area. Panel (C) shows the quantification of C. trachomatis DNA present in each of the positive samples (blue circles) based on the linear regression obtained with serial dilutions of C. trachomatis serovar J DNA (red circles).
Diagnostics 14 00892 g002
Table 1. Quantification cycle (Cq) for detection of different concentrations of C. trachomatis DNA (serovar J) on a benchtop instrument (ABI7500) or of different concentrations of a synthetic positive control on a portable thermocycler (Q3-Plus). Data are shown as mean Cq ± SD and were obtained with 3–5 independent experiments for each instrument. Replicates for each concentration are described in Section 2.
Table 1. Quantification cycle (Cq) for detection of different concentrations of C. trachomatis DNA (serovar J) on a benchtop instrument (ABI7500) or of different concentrations of a synthetic positive control on a portable thermocycler (Q3-Plus). Data are shown as mean Cq ± SD and were obtained with 3–5 independent experiments for each instrument. Replicates for each concentration are described in Section 2.
Concentration of C. trachomatis DNA (per µL)Cq (mean ± SD) ABI7500Number of Copies of the Synthetic Positive Control (per µL)Cq (mean ± SD) Q3-Plus
10 pg18.54 ± 0.19100,00020.74 ± 0.93
1 pg22.00 ± 0.2910,00023.99 ± 1.31
100 fg25.99 ± 0.22100026.74 ± 0.95
10 fg30.14 ± 0.0410031.82 ± 1.17
1 fg34.32 ± 0.651033.92 ± 0.79
0.1 fg36.76 ± 0.91136.65 ± 1.63
Table 2. Comparison of duplex qPCR results to the characterization of samples from endemic and non-endemic areas clinical evaluation (CE) or direct immunofluorescence (DFA). The number of elementary bodies (EBs) as well as the qPCR quantification threshold cycle (Cq) observed (using the ABI7500) for each sample is shown.
Table 2. Comparison of duplex qPCR results to the characterization of samples from endemic and non-endemic areas clinical evaluation (CE) or direct immunofluorescence (DFA). The number of elementary bodies (EBs) as well as the qPCR quantification threshold cycle (Cq) observed (using the ABI7500) for each sample is shown.
Sample Clinical Evaluation (CE)EBsDFA
Classification
Cq
(mean ± SD)
Duplex qPCR ClassificationAgreement
CE × qPCR
Agreement DFA × qPCR
1Negative0Negative36.59 ± 0.59PositiveNoNo
2Negative8Positive-NegativeYesNo
3Negative0Negative36.18 ± 0.54PositiveNoNo
4Negative0Negative41.62 ± 0.00PositiveNoNo
5Negative0Negative38.91 ± 3.36PositiveNoNo
6Negative0Negative35.93 ± 1.49PositiveNoNo
7Negative5Positive36.06 ± 1.73PositiveNoYes
8Negative2Negative43.05 ± 1.78PositiveNoNo
9Negative3Negative39.12 ± 2.67PositiveNoNo
10Negative0Negative42.20 ± 4.22PositiveNoNo
11Positive7Positive36.82 ± 0.91PositiveYesYes
12Negative2Negative38.31 ± 0.00PositiveNoNo
13Negative0Negative37.89 ± 1.43PositiveNoNo
14Negative1Negative33.90 ± 0.49PositiveNoNo
15Positive6Positive36.86 ± 1.49PositiveYesYes
16Negative0Negative37.07 ± 2.49PositiveNoNo
17Negative2Negative37.83 ± 1.46PositiveNoNo
18Negative6Positive35.08 ± 0.00PositiveNoYes
19Negative2Negative37.61 ± 2.79PositiveNoNo
20Negative0Negative37.53 ± 2.81PositiveNoNo
21Negative2Negative33.58 ± 0.89PositiveNoNo
22Negative0Negative34.55 ± 0.37PositiveNoNo
23Negative4Negative35.94 ± 0.21PositiveNoNo
24Negative5Positive34.83 ± 0.16PositiveNoYes
25Negative0Negative37.07 ± 1.46PositiveNoNo
26Negative6Positive37.05 ± 1.51PositiveNoYes
27Negative3Negative37.78 ± 0.37PositiveNoNo
28Negative6Positive33.10 ± 0.45PositiveNoYes
29Negative2Negative36.73 ± 0.59PositiveNoNo
30Negative5Positive37.40 ± 1.19PositiveNoYes
31Negative6Positive35.24 ± 0.30PositiveNoYes
32Negative7Positive35.26 ± 1.04PositiveNoYes
33Negative5Positive34.98 ± 0.76PositiveNoYes
34Negative6Positive34.06 ± 0.00PositiveNoYes
35Negative8Positive35.23 ± 1.08PositiveNoYes
36Positive9Positive38.28 ± 0.50PositiveYesYes
37Negative2Negative34.23 ± 0.48PositiveNoNo
38Negative2Negative35.84 ± 0.84PositiveNoNo
39Negative3Negative36.93 ± 0.00PositiveNoNo
40Negative2Negative36.59 ± 0.75PositiveNoNo
41Negative5Positive-NegativeYesYes
42Negative4Negative35.12 ± 1.11PositiveNoNo
43Negative5Positive40.70 ± 0.00PositiveNoYes
44Negative7Positive34.10 ± 0.77PositiveNoYes
45Negative3Negative34.50 ± 0.36PositiveNoNo
46Negative2Negative35.23 ± 1.42PositiveNoNo
47Negative0Negative38.71 ± 1.58PositiveNoNo
48Negative1Negative33.72 ± 0.50PositiveNoNo
49Negative2Negative34.53 ± 0.34PositiveNoNo
50Negative1Negative36.38 ± 0.00PositiveNoNo
51Negative0Negative-NegativeYesYes
52Negative0Negative-NegativeYesYes
53Negative0Negative-NegativeYesYes
54Negative0Negative-NegativeYesYes
55Negative0Negative-NegativeYesYes
56Negative0Negative-NegativeYesYes
57Negative0Negative-NegativeYesYes
58Negative0Negative-NegativeYesYes
59Negative0Negative-NegativeYesYes
60Negative0Negative-NegativeYesYes
61Negative0Negative-NegativeYesYes
62Negative0Negative-NegativeYesYes
Table 3. Validation of qPCR shown in Figure 1 with pre-characterized patient samples. Samples were pre-characterized by the Aptima Combo2 CT/NG assay (Hologic, USA). Extracted DNA was then analyzed by the NAT Trachoma kit described in the present paper by two different instruments: the ABI7500 and the Q3-Plus.
Table 3. Validation of qPCR shown in Figure 1 with pre-characterized patient samples. Samples were pre-characterized by the Aptima Combo2 CT/NG assay (Hologic, USA). Extracted DNA was then analyzed by the NAT Trachoma kit described in the present paper by two different instruments: the ABI7500 and the Q3-Plus.
Sample Pre-
Characterization Status (by Aptima Combo 2)
ABI7500Q3-Plus
Mean Cq for C. trachomatis TargetDetection of Reaction Internal ControlDiagnostic StatusMean Cq for C. trachomatis TargetDetection of Reaction Internal ControlDiagnostic Status
1Positive22.60YesPositive23.05YesPositive
2Positive30.36YesPositive29.75YesPositive
3Positive29.65YesPositive28.80YesPositive
4Positive25.75YesPositive25.75YesPositive
5Positive30.75YesPositive29.40YesPositive
6Positive39.28YesPositive36.20YesPositive
7Positive38.99YesPositive36.65YesPositive
8Positive32.56YesPositive32.45YesPositive
9Positive27.45YesPositive26.30YesPositive
10Positive25.07YesPositive24.80YesPositive
11Positive28.10YesPositive27.15YesPositive
12Positive29.83YesPositive33.00YesPositive
13Positive37.59YesPositive26.20YesPositive
14Positive25.48YesPositive27.10YesPositive
15Positive27.43YesPositive32.60YesPositive
16Positive35.39YesPositive29.40YesPositive
17Positive29.26YesPositive29.30YesPositive
18Positive28.82YesPositive36.35YesPositive
19Positive37.21YesPositive31.60YesPositive
20Positive32.56YesPositive29.55YesPositive
21Positive31.50YesPositive33.95YesPositive
22Positive40.08YesPositive36.65YesPositive
23Positive37.51YesPositive26.45YesPositive
24Positive26.01YesPositive27.25YesPositive
25Positive29.12YesPositive26.10YesPositive
26Positive26.88YesPositive32.30YesPositive
27Positive31.41YesPositive29.70YesPositive
28Positive30.85YesPositive33.40YesPositive
29Positive33.11YesPositive33.95YesPositive
30Positive27.99YesPositive27.15YesPositive
31NegativeNDYesNegative36.80YesPositive
32NegativeNDYesNegative40.25 *Yes *Negative
33NegativeNDYesNegative40.40 *YesNegative
34NegativeNDNoInconclusiveNDYesNegative
35NegativeNDYesNegativeNDYesNegative
36NegativeNDYesNegativeNDYesNegative
37NegativeNDYesNegativeNDYesNegative
38NegativeNDYesNegativeNDYesNegative
39NegativeNDYesNegativeNDYesNegative
40NegativeNDYesNegativeNDYesNegative
41NegativeNDYesNegativeNDYesNegative
42NegativeNDYesNegativeNDYesNegative
43NegativeNDYesNegativeNDYesNegative
44NegativeNDYesNegativeNDYesNegative
45NegativeNDYesNegativeNDYesNegative
46NegativeNDYesNegative40.30 *YesNegative
47NegativeNDYesNegativeNDYesNegative
48NegativeNDYesNegative41.40 *YesNegative
49NegativeNDYesNegativeNDYesNegative
50NegativeNDYesNegativeNDYesNegative
* Sample with Cq out of acceptance interval; ND = not detected.
Table 4. Absolute numbers and percentages of detections: true-positive, true-negative, false-positive, and false-negative rates, sensitivity, specificity, and Kappa coefficient. Results were calculated from data shown in Table 3.
Table 4. Absolute numbers and percentages of detections: true-positive, true-negative, false-positive, and false-negative rates, sensitivity, specificity, and Kappa coefficient. Results were calculated from data shown in Table 3.
CategoryABI7500Q3-Plus
DetectionsTotal PossibleRate (%)DetectionsTotal PossibleRate (%)
Positive30301003030100
Negative192095192095
Inconclusive15020500
False-negative0300000
False-positive02001205
Positive predictive value (PPV)100%99.45% (CI95% 96.38 to 99.92%)
Negative predictive value (NPV)99.8% (CI95% 98.9 to 99.9%)100%
Sensitivity100% (CI95% of 88.43% to 100%)100% (CI95% of 88.43% to 100%)
Specificity100% (CI95% of 82.35% to 100%)95% (CI95% of 75.13 to 99.87%)
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Favacho, J.d.F.R.; Leite, K.K.; Jacomasso, T.; Farias, A.B.; Franco Filho, L.C.; Gomes, S.T.M.; dos Reis, H.S.; Mota, G.D.; Schluga, P.H.d.C.; Tassi, W.S.; et al. Validation of a New Duplex Real-Time Polymerase Chain Reaction for Chlamydia trachomatis DNA Detection in Ocular Swab Samples. Diagnostics 2024, 14, 892. https://doi.org/10.3390/diagnostics14090892

AMA Style

Favacho JdFR, Leite KK, Jacomasso T, Farias AB, Franco Filho LC, Gomes STM, dos Reis HS, Mota GD, Schluga PHdC, Tassi WS, et al. Validation of a New Duplex Real-Time Polymerase Chain Reaction for Chlamydia trachomatis DNA Detection in Ocular Swab Samples. Diagnostics. 2024; 14(9):892. https://doi.org/10.3390/diagnostics14090892

Chicago/Turabian Style

Favacho, Joana da Felicidade Ribeiro, Keren Kariene Leite, Thiago Jacomasso, Aline Burda Farias, Luciano Chaves Franco Filho, Samara Tatielle Monteiro Gomes, Herald Souza dos Reis, Gardene Dourado Mota, Pedro Henrique de Caires Schluga, Walleyd Sami Tassi, and et al. 2024. "Validation of a New Duplex Real-Time Polymerase Chain Reaction for Chlamydia trachomatis DNA Detection in Ocular Swab Samples" Diagnostics 14, no. 9: 892. https://doi.org/10.3390/diagnostics14090892

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop