http://orcid.org/0000-0001-8787-7582
Figures
Abstract
Abdominal tuberculosis (ATB) continues to pose a major diagnostic challenge for clinicians due to its nonspecific clinical presentation, variable anatomical location and lack of sensitive diagnostic tools. In spite of the development of several assays till date; no single test has proved to be adequate for ATB diagnosis. In this study, we for the first time report the detection of circulating cell-free Mycobacterium tuberculosis (M. tuberculosis) DNA (cfMTB-DNA) in ascitic fluid (AF) samples and its utility in ATB diagnosis. Sixty-five AF samples were included in the study and processed for liquid culture, cytological, biochemical and molecular assays. A composite reference standard (CRS) was formulated to categorize the patients into ‘Definite ATB’ (M. tuberculosis culture positive, n = 2), ‘Probable ATB’ (n = 16), ‘Possible ATB’ (n = 13) and ‘Non-TB’ category (n = 34). Two molecular assays were performed, namely, the novel cfMTB-DNA qPCR assay targeting M. tuberculosis devR gene and Xpert MTB/RIF assay (Xpert), and their diagnostic accuracy was assessed using CRS as reference standard. Clinical features such as fever, loss of weight, abdominal distension and positive Mantoux were found to be strongly associated with ATB disease (p<0.05). cfMTB-DNA qPCR had a sensitivity of 66.7% (95% CI:40.9,86.7) with 97.1% specificity (95% CI:84.7,99.9) in ‘Definite ATB’ and ‘Probable ATB’ group collectively. The sensitivity increased to 70.9% (95% CI:51.9,85.8) in the combined ‘Definite’, ‘Probable’ and ‘Possible’ ATB group with similar specificity. The cfMTB-DNA qPCR assay performed significantly better than the Xpert assay which demonstrated a poor sensitivity of ≤16.7% with 100% (95% CI:89.7,100) specificity (p<0.001). We conclude that cfMTB-DNA qPCR assay is an accurate molecular test that can provide direct evidence of M. tuberculosis etiology and has promise to pave the way for improving ATB diagnosis.
Citation: Sharma P, Anthwal D, Kumari P, Gupta RK, Lavania S, Sharma N, et al. (2020) Utility of circulating cell-free Mycobacterium tuberculosis DNA for the improved diagnosis of abdominal tuberculosis. PLoS ONE 15(8): e0238119. https://doi.org/10.1371/journal.pone.0238119
Editor: Olivier Neyrolles, Institut de Pharmacologie et de Biologie Structurale, FRANCE
Received: March 24, 2020; Accepted: August 9, 2020; Published: August 26, 2020
Copyright: © 2020 Sharma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: The work was funded by the Core grants of THSTI sponsored by the Department of Biotechnology (DBT), Ministry of Science and Technology, Government of India and DST INSPIRE grant (DST/INSPIRE/04/2013/000244) awarded to S.H. This work was also supported through an award to J.S.T. by National Bio-Design Alliance project, DBT, Government of India (BT/PR14638/MED/12/483/2010). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Tuberculosis (TB) remains a significant global health challenge with an estimate of 10 million people developing the disease globally in 2018 [1]. India alone accounts for 26.9% of this vast global TB burden [1]. Extra-pulmonary TB (EPTB) constitutes ~15–20% of all TB cases in India [2]. Abdominal TB (ATB) is one of the manifestations of EPTB that contributes to 3% of all EPTB cases in India and may involve peritoneal, intestinal, upper gastrointestinal (oesophageal and gastro-duodenal), hepato-biliary, pancreatic and peri-anal sites [3]. ATB remains a major diagnostic challenge owing to the lack of specific clinical features and limited yield of the commonly used diagnostic tests [4]. ATB diagnosis is usually made through a combination of clinical, radiological, microbiological, histological, biochemical and molecular techniques [5]. Conventional microbiological techniques like AFB smear and culture suffer either from low sensitivity (0%-40%) or high turnaround time (culture) which renders them inadequate for appropriate management of the disease [4, 6]. Histopathology demonstrates tuberculous granulomas; however, it alone may not be pathognomonic and requires culture confirmation [7]. Biochemical parameters including ascitic fluid (AF) total protein (>2.5 g/dL), serum-ascites albumin gradient (SAAG) (<1.1 g/dL) and elevated adenosine deaminase (ADA) values are routinely used for the clinical diagnosis of ATB [4]. However, these parameters have a reduced sensitivity in confounding cases of ATB with co-morbidities like liver cirrhosis and chronic liver disease [4, 8–11]. Laparoscopy is the diagnostic tool of choice for ATB and allows inspection of the peritoneum along with providing an option for obtaining biopsies for histology. However, laparoscopic features of ATB may mimic other diseases like sarcoidosis, peritoneal carcinomatosis and Crohn’s disease that necessitates the need of taking biopsies during laparoscopy [4]. Moreover, the procedure (for biopsy) is invasive, expensive and requires competent surgeons and hospitalization [4]. Other tests for ATB diagnosis include immune response-based assays such as the Mantoux test and the IFN-γ release assays; but these tests are usually non-specific and are unable to discriminate between active and latent TB infection [7]. Also, existing commercial serological assays are inconsistent, imprecise and have received a strong negative recommendation by WHO [12].
Various nucleic acid amplification tests (NAATs) including in-house PCR assays have been developed for ATB diagnosis. These assays have targeted different regions of M. tuberculosis in multiplex (IS6110, devR and 16S rRNA) or single-plex formats (IS6110, 38-kDa protein gene) with a variable sensitivity range of 35%-93% [13–16]. This inconsistent performance of in-house NAATs limits their usefulness for ATB diagnosis. Other NAATs include the Xpert MTB/RIF assay (Xpert) and its advanced version Xpert Ultra, which are WHO-endorsed, automated commercial NAATs, and have proved to be critical tools for the diagnosis of pulmonary TB, extra-pulmonary TB and for children with TB [17, 18]. A small number of studies have reported variable sensitivity (range: 18.3%-100%) for Xpert in diagnosing ATB, with an overall high specificity (range- 90%-100%), limiting its role as a rule-in test [19–22].
Circulating cell-free DNA (cfDNA) is defined as extracellular DNA fragments circulating mainly in various body fluids such as blood, saliva, urine, stool, sputum, various body fluids (cerebrospinal fluid, peritoneal fluid, synovial fluid, lymph and amniotic fluid) and tissues [23]. cfDNA-based tests have been successfully used in detecting cancer, parasitic infections, pathogens like fungi, bacteria, Epstein-Barr virus for nasopharyngeal carcinoma screening and pre-natal diagnosis [23–28]. The presence of cfDNA in peritoneal fluid has been used in diagnosis and prognosis of therapy-related peritoneal degeneration [29]. Detection of circulating cell-free M. tuberculosis DNA fragments in body fluids has also recently emerged as a novel tool for the diagnosis of TB disease [30–36]. Circulating cell-free M. tuberculosis DNA (referred as cfMTB-DNA from here onwards) refers to the fragments of cell-free M. tuberculosis DNA that may have been released from dying human cells and mycobacteria in biological fluids [33]. cfMTB-DNA detection has shown a sensitivity ranging from 50%-79.5% by PCR for pleural TB and 56.5–100% for tuberculous meningitis diagnosis with ≥ 92% specificity in various studies [30–32, 34–37]. To the best of our belief, this is the first study to evaluate the utility of cfMTB-DNA detection in ascitic fluid samples for ATB diagnosis. The objectives of the present study were i) to develop a circulating cell-free M. tuberculosis DNA probe-based quantitative real-time PCR (qPCR) assay targeting devR gene of M. tuberculosis (cfMTB-DNA qPCR assay) and ii) to compare the performance of the developed assay with the Xpert test for ATB diagnosis.
Material and methods
Ethics statement
The ethical approval for this study was obtained from the Institute Ethical Committee of Translational Health Science and Technology Institute (THSTI), Faridabad [THS 1.8.1/(58)], All India Institute of Medical Sciences (AIIMS), New Delhi [IEC/NP-156/2015 RP-13/2014] and Dr. Ram Manohar Lohia Hospital (RMLH), New Delhi [56/2013/IEC/PGIMER-RMLH/9356].
Study participants
Patients presenting with ascites (n = 95) visiting the Out-patient Department (OPD) of RMLH were enrolled in this study in a prospective manner. Ascitic fluid samples were collected only after taking written informed consent from patients. No minor cases were included in the study. The samples were collected over a period of 3 years in two phases; March 2014-August 2015 and February 2016-November 2017. Detailed clinical history, radiological findings, biochemical and haematological laboratory investigation results were recorded in a case record form as approved by the Ethics Committee (S1 Appendix). Patients with a past history of tuberculosis (pulmonary TB or extrapulmonary TB) in preceding 2 years or on anti-tubercular therapy (ATT) for > 7 days were excluded. Finally, ascitic fluid samples from 65 patients (age range of 15 to 70 years, 66.2% males and 33.8% females) were included in the study (Fig 1). Patient information was maintained in a classified manner.
The rate of isolation of M. tuberculosis is very low from ascitic fluid [3], thus a composite reference standard (CRS) was used in the study. The CRS was broadly based on published guidelines and previous categorizations for ATB and comprised of clinical, radiological, microbiological and biochemical findings associated with ATB patients and response to ATT (Fig 2) [3, 22, 38]. Based on the CRS, the patients were categorised into ‘Definite’ ATB, ‘Probable’ ATB, ‘Possible’ ATB and ‘Non-TB’ groups (Fig 2). The ‘Definite’ ATB category included patients who were M. tuberculosis culture-positive (n = 2) and ‘Probable’ ATB category (n = 16) included patients who were clinically diagnosed as ATB and responded to anti tubercular therapy [3, 38] (Fig 2). ‘Possible’ ATB category (n = 13) included patients who presented with chronic symptoms of ATB with either radiology suggestive of ATB (palpable abdominal mass or omental thickening) or an abnormal chest X-ray (consolidation, calcification or pleural effusion) or presence of other features as described in Fig 2. [3, 4, 22, 38]. However, in this group, the information about response to ATT was not available because either the patient got lost to follow up (n = 11) or left against medical advice (n = 2). Since, the ‘Possible’ ATB category did not fulfil all pre-requisites for ATB classification, we performed a stratified analysis: i) one, including ascitic fluid samples from both ‘Definite’ ATB and ‘Probable’ ATB groups (referred as ‘Definite and Probable’ ATB group) and ii) two, including all three categories collectively i.e., ‘Definite’ ATB, ‘Probable’ ATB and ‘Possible’ ATB’ groups (referred as ‘ATB group’).
Ascitic fluid collection and processing
Ascitic fluid samples of all patients were subjected to biochemical and cytological investigations at RMLH, New Delhi. The left over ascitic fluid was transferred to the AIIMS laboratory and processed for liquid culture and Xpert on the same day. Briefly, liquid culture for M. tuberculosis was performed from the sediment obtained after centrifugation of ascitic fluid in Middlebrook 7H9 broth enriched with oleic acid, albumin, dextrose, catalase (OADC) and an antibiotic cocktail; Polymyxin B, Amphotericin B, Nalidixic acid, Trimethoprim and Azlocillin (PANTA) [Becton and Dickinson (BD), Franklin Lakes, New Jersey, United States] (Fig 1). The supernatant was stored at -80°C and used later for cfMTB-DNA extraction (Fig 1). Quantification of cfMTB-DNA was performed targeting the devR region of M. tuberculosis by qPCR.
DNA extraction and cfMTB-DNA devR-based qPCR
Circulating cell-free DNA was isolated using QIAamp® circulating nucleic acid kit (Qiagen, CA, USA) from ascitic fluid supernatant [volume range: 0.2 ml -1.0 ml (mean; 0.67 ml)] as per manufacturer’s instructions and stored at -20 oC (Fig 1). M. tuberculosis DNA in ascitic fluid was quantified using an in-house TaqMan-based qPCR assay which amplified a specific region of the devR gene (139 bp). The designed assay was specific to the M. tuberculosis complex. Reactions contained 12.5 μl of master-mix (Premix Ex TaqTM, Probe qPCR, Takara, Bio, USA, Inc.), 1 μM devR 139 forward primer (5’-GCGCTGTCTGATCCTCACGTCC-3’), 0.1 μM devR 139 reverse primer (5’-CCGTCCAGCGCCCACATCTTTG-3’) and 0.2 μM devR TaqMan® probe (5'-HEX-AGACATCAAGGGAATGGAGTTGGCG-BHQ1-3') and 10 μl sample DNA (cfMTB-DNA). The PCR conditions used were 95°C for 10 min. followed by 40 cycles of 95°C for 30 seconds and 62°C for 30 seconds at which the fluorescence acquisition was determined (CFX 96TM Real-Time PCR Detection system, Bio-Rad, Hercules, California, United States).
Xpert MTB/RIF assay
The Xpert assay was carried out according to manufacturer's instructions. Briefly, 0.8 ml of ascitic fluid was mixed with sample reagent provided in the assay kit in a ratio of 1:2 and incubated for 15 minutes. 2 ml of the mixture was transferred into the cartridge and inserted in the Xpert instrument for analysis.
Statistical analysis
The results of all the tests were compiled and analysed after completion of the study in a blinded manner. The performance of cfMTB-DNA qPCR assay and Xpert was evaluated using CRS as the reference standard. DNA amounts in ‘Definite and Probable’ ATB group (true positives) and ‘Non-TB’ group (true negatives) were used to generate receiver operating characteristics (ROC) curves using GraphPad Prism version 5.00 for Windows (GraphPad Software, La Jolla California USA, www.graphpad.com). The cut-off points were derived to achieve test specificity (~97%) consistent with the ‘target product profile’ (TPP) defined for newer diagnostic tests for extrapulmonary tuberculosis [39]. The difference between cfMTB-DNA quantified in the ‘Possible’ ATB group versus other groups (‘Definite’ ATB and ‘Probable’ ATB) was calculated by unpaired t-test (2-tailed) using GraphPad Software. The diagnostic performance parameters for qPCR and Xpert were calculated using web resources (https://www.medcalc.org/calc/diagnostic_test.php). The difference in sensitivity of qPCR and Xpert was determined by McNemar’s test (http://epitools.ausvet.com.au/comparetwotests). The statistical significance of the qualitative and quantitative variables between the ‘ATB’ group and ‘Non-TB’ group was performed by Fisher’s exact test and Mann Whitney tests respectively (the significance was set at a p-value of < 0.05) using GraphPad Software.
Results
Clinical and laboratory findings
Of the 95 patients initially enrolled, n = 65 were finally included in the study (Fig 1). Patients were classified into ‘Definite’ ATB (n = 2, M. tuberculosis culture positive), ‘Probable’ ATB (n = 16), ‘Possible’ ATB (n = 13) and ‘Non-TB’ category (n = 34) on the basis of CRS formulated for the study (Fig 2). The ‘Non-TB’ category included patients of chronic liver disease (n = 26), coronary artery disease with congestive heart failure (n = 3), hepatitis B with ascites (n = 1), chronic kidney disease (n = 1), acute appendicitis (n = 1), acute pancreatitis (n = 1) and malignancy (n = 1). In this study, clinical features such as fever, weight loss, abdominal distension and positive Mantoux was found strongly associated with the ATB disease (p < 0.05) (Table 1). These characteristics were concordant with symptoms generally associated with ATB in other studies [4, 40]. Nineteen percent (6/31) of the ATB category patients had a co-existing pulmonary involvement of TB as evident by an abnormal X-ray finding [cavitation, mediastinal lymphadenopathy, pleural effusion and consolidation]. Six percent (2/31) of the ATB patients had a past history of TB disease and ~29% (9/31) had a history of contact with a TB patient. In the ATB category, 26% (8/31) of the patients showed hepatomegaly, followed by splenomegaly (16%; 5/31), necrotic and mesenteric lymph nodes (23%; 7/31), intramural and omental thickening (10%; 3/31) and tubovarian mass (3%; 1/31) on the ultrasound scans apart from moderate to massive ascites. M. tuberculosis culture was positive in 6.5% (2/31) of ATB patients. Various laboratory investigations performed in all patients of the study are described in Table 2. Ascitic fluid total protein and ADA values were significantly higher in the ‘ATB group’ vs. Non-TB group (p < 0.05); whereas, SAAG ratios were significantly lower (p < 0.05) (Table 2)
Performance outcome of cMTB-DNA devR-qPCR assay
Circulating cell-free M. tuberculosis DNA extracted from ascitic fluid samples were quantified using the devR-qPCR assay. Total DNA amounts in ascitic fluid from ‘Definite and Probable ATB’ group (true positives) and ‘Non-TB’ group (true negatives) were used to construct ROC curves and cut-off value was set at 575.7 fg/ml (equivalent to 115 M. tuberculosis bacterial genome equivalents) to attain a specificity of 97% (Fig 3A). cfMTB-DNA devR-qPCR assay yielded a sensitivity of 66.7% (95% CI: 40.9, 86.7) in ‘Definite and Probable ATB’ category with 97.1% (95% CI: 84.7, 99.9) specificity (Table 3). The sensitivity increased to 70.9% (95% CI: 51.9, 85.8; Table 3, Fig 3) in ‘ATB’ group (‘Definite’, ‘Probable’ and ‘Possible ATB’ groups collectively) with no decrease in the specificity (97.1%). Notably, one out of two ‘Definite ATB’ samples (n = 2) was positive by the cfMTB-DNA devR-qPCR assay.
A.) ROC curve generated from the cell-free MTB-DNA amount quantified from ascitic fluid samples of ‘Definite and Probable’ ATB vs. ‘Non-TB’ patients. B.) Scatter plot of M. tuberculosis (fg/ml) in each categorized group. The black horizontal line across the scatter plot denotes the cut-off value of 575.7 fg/ml set by ROC curve analysis of ‘Definite and Probable ATB’ group (combined) vs. ‘Non-TB’ disease group. The black line in each data set denotes the median value.
Performance outcome of Xpert MTB/RIF assay
Xpert was performed on all ascitic fluid samples. The sensitivity of Xpert was 16.7% (95% CI: 3.6, 41.4) in the ‘Definite and Probable’ ATB group with 100% (95% CI: 89.7,100) specificity. Xpert detected 3/18 ‘ATB’ patients (1 from ‘Definite’ ATB category and 2 from ‘Probable’ ATB category). However, in the combined ‘ATB’ group (‘Definite’ ATB, ‘Probable’ ATB and ‘Possible’ ATB), the sensitivity of Xpert decreased to 9.7% (95% CI: 2.04, 25.8) (as no sample was positive in ‘Possible’ ATB category) with no decrease in specificity (Table 3). No rifampicin resistance was detected in any sample.
Comparative evaluation of Xpert vs. cfMTB-DNA qPCR assay
The sensitivity of detection of circulating cell-free M. tuberculosis DNA by cfMTB-DNA qPCR assay was 66.7% as compared to 16.7% by Xpert in the ‘Definite and Probable’ ATB combined group (Table 3). The difference was further enhanced when the ‘Possible’ ATB group was included in the analysis (70.9% vs. 9.7%). The sensitivity increment of cfMTB-DNA qPCR over Xpert was statistically significant (p<0.001). Combining the results of Xpert and cfMTB-DNA qPCR yielded a sensitivity of 72.2% (95% CI: 46.5,90.3) in ‘Definite and Probable’ ATB category with 97.1% (95% CI: 84.7,99.9) specificity. The sensitivity was further enhanced to 74.2% (95% CI: 55.4,88.1) in the combined ‘ATB’ group with similar specificity (Table 3).
Discussion
ATB is a clinical challenge because of its non-specific clinical presentation and lack of accurate diagnostic tools [4, 41]. In spite of the availability of several diagnostic platforms; no test has proved to be solely adequate for diagnosing ATB [4, 19, 42]. The detection of circulating cell-free M. tuberculosis DNA (cfMTB-DNA) has recently emerged as a tool for diagnosing paucibacillary forms of TB such as tuberculous meningitis and pleural TB [30–32, 34–37]. In the present study, to the best of our knowledge, we for the first time assessed the utility of cfMTB-DNA for ATB diagnosis.
The developed cfMTB-DNA devR-based qPCR assay demonstrated a sensitivity of 66.7% (95% CI:40.9,86.7) collectively in the ‘Definite and Probable’ ATB group and 70.9% (95% CI: 51.9,85.8) in the combined ‘ATB’ group (‘Definite’, ‘Probable’ and ‘Possible’ ATB). Nine (9/31) samples were false negative by cfMTB-DNA qPCR assay in the combined ‘ATB group’ which included one (1/2) from ‘Definite’ ATB group, five (5/16) from ‘Probable’ ATB group and three (3/13) from the ‘Possible’ ATB group. The false negative qPCR results might be attributed to the varying amounts of cfMTB-DNA available in ascitic fluid for amplification. Although, a few qPCR results were positive with very low volumes of ascitic fluid (~41% positive ascitic fluid samples had a volume of <300 μl), we believe that the false negative qPCR results might be reduced by using a larger volume of ascitic fluid for cfMTB-DNA extraction. The volume range of ascitic fluid used in this study was in the range of 200 μl to 1 ml (depending on sample volume availability), and we believe that an increase in sample volume can ensure optimum amount of cfDNA extraction which will lead to fewer false negative results [43]. An improved sensitivity was obtained for urinary EGFR cfDNA detection in NSCLC patients when ~90–100 ml of urine was used for analysis [44]. The specificity for the cfMTB-DNA qPCR assay was 97.1% (95% CI: 84.7,99.9) in both ‘Definite and Probable’ ATB group and combined ‘ATB’ group. One sample (1/34) was false positive in this study. The diagnosis of this patient was chronic liver disease (CLD) and it might be possible that the false positive qPCR result was due to an underlying ATB disease that was masked by CLD; as it has been reported that in countries with high TB prevalence there is a high possibility of developing ATB disease in CLD patients [45, 46].
The origin of cfDNA in the circulation is believed to be either through apoptosis, necrosis, phagocytosis, active secretion, exocytosis or breakdown of pathogens and the increase in the amount of cfDNA released has been correlated with the increase in the dead and dying cells [47–51]. This released cfDNA is further cleared via blood, body fluids, liver, spleen, kidney or lymph nodes [52–54] by immune system mainly by macrophages [55, 56]. In healthy individuals, the cfDNA and apoptotic cells are rapidly cleared; thus leading to a reduced level of cfDNA in circulation [47, 52]; however, during chronic inflammation, excessive cell death and pathological conditions, there is an insufficient clearance of cfDNA leading to its accumulation in circulation [47, 52]. This insufficient clearance might explain the accumulation of cfDNA in pathological conditions (here abdominal TB) [47, 52]. The actual levels of cfDNA in circulation relies upon the balance between the DNA release and DNA clearance processes and this inter-play between them marks the actual levels of cfDNA in the circulation [52]. It was observed in the present study that the mean DNA amount quantified by the cfMTB-DNA qPCR assay in ascitic fluid was higher in the ‘Possible’ ATB group (Mean 7492 fg/ml ± 4545) followed by ‘Probable’ ATB group (Mean 1754 fg/ml ± 1068) and ‘Definite’ ATB group (Mean 468.1 fg/ml ± 417.9). The difference between circulating cfMTB-DNA amount quantified in the ‘Possible’ ATB group versus combined group of ‘Definite and Probable’ ATB was highly significant (p < 0.0001). This observation proves a reverse relationship between the presence of number of intact M. tuberculosis bacilli and circulating cfMTB-DNA, i.e. greater is the number of intact bacilli (which is expected in ‘Definite’ group), lower is the amount of circulating cfMTB-DNA. This significant difference between the mean DNA amounts between different categories might be because of different cellular fate (death modality) of M. tuberculosis infected macrophages which influences the infection outcome [57]. During apoptosis or necrosis of M. tuberculosis infected macrophages, the viability of M. tuberculosis bacilli is reduced whereas cfMTB-DNA release is increased in the circulation [49, 57] which might be the reason for increased cfMTB-DNA in the ‘Probable and Possible ATB’ categories. However, in the ‘Definite ATB’ group the reduced amount of cfMTB-DNA might be due to the inhibition of apoptosis of M. tuberculosis infected macrophages as one of the virulence mechanisms against host defence which allows M. tuberculosis to replicate [57], thereby leading to more number of intact bacilli and not as much amount of cfMTB-DNA.
Xpert exhibited a modest sensitivity of 16.7% and 9.7% in the combined group of ‘Definite and Probable’ ATB and combined ‘ATB’ (‘Definite’, ‘Probable’ and ‘Possible’) group, respectively in the present study. One study reported a similar sensitivity of ~18.3% for Xpert against CRS [21]; however, a higher sensitivity of 32% and 50% has also been reported [22, 58]. In microbiologically confirmed ATB cases, a comparatively higher sensitivity has been reported for Xpert. A pooled sensitivity of 59% (Range:33%-100%) has been recently described by WHO which was similar to the sensitivity of Xpert in definite ATB cases in our study (50%), albeit we had only 2 cases [20]. We believe that since Xpert is based on the principle of detecting ‘genomic DNA’ from intact M. tuberculosis bacilli (which is expected to be higher in microbiologically confirmed ATB cases), the sensitivity of Xpert is higher in ‘Definite’ ATB samples. In CRS confirmed cases, intact M. tuberculosis bacilli are expected to be fewer, leading to a higher sensitivity of cfMTB-DNA qPCR assay vs. Xpert. However, the excellent specificity (100%) of Xpert provided credence to a sample being not labelled as false positive and indicated its utility as a rule in test [59].
The major strength of our study was the development of a cfMTB-DNA based assay and establishing its utility in ATB diagnosis. cfDNA is an attractive biomarker for TB diagnosis that indicates the presence of pathogen in the system [33]. This approach enabled utilization of both the sediment and supernatant fractions of ascitic fluid for M. tuberculosis culture (reference standard) and circulating cell-free DNA based tests, respectively. The limitations of this study were small sample size, limited sample volumes and identification of only two ‘Definite’ ATB patients. Overall, cfMTB-DNA qPCR assay showed a better diagnostic accuracy for ATB as compared to culture and Xpert, which indicates its diagnostic utility in ATB diagnosis. However, the assay missed one culture positive and one Xpert-positive patient which might be because of the inverse relationship between the disease category and the amount of genomic DNA. Therefore, we believe that tests based on both genomic DNA and circulating DNA should be performed on ATB samples, as the combinatorial outcome of both these formats will enable us to diagnose both Definite and Probable/Possible forms of ATB. By combining our novel cfMTB-DNA qPCR assay with Xpert, the overall diagnostic sensitivity in ‘Definite and Probable’ ATB group increased to 72.2%, with no decrease in the specificity. When test results of ‘Possible’ ATB category were also included, the combined sensitivity of qPCR and Xpert increased to 74.2%. The ‘Possible’ ATB category was formulated specifically for this study, we believe that the inclusion of this category and the detection of subjects belonging to it highlights the diagnostic challenges that plague ATB. These patients possibly had TB which was missed due to lack of optimal diagnostic tools [46].
The detection of cfMTB-DNA in the ascitic fluid of ATB patients has proved to be a promising diagnostic tool. We conclude that the developed cfMTB-DNA qPCR assay has an immense potential for the diagnosis of ATB and can also be adapted to other paucibacillary forms of EPTB. Nevertheless, for the application of this assay in the clinic, we will require its validation on a larger number of samples.
Acknowledgments
P.S. acknowledges a Junior Research Fellowship (JRF) from the core grants of the Center for Bio-design and Diagnostics, THSTI and a Senior Research Fellowship (SRFship) by Indian Council of Medical Research (ICMR) at PGIMER, Chandigarh. D.A. and R.K.G are thankful for a JRF under the DST-INSPIRE Grant awarded to S.H. and SRFship granted by ICMR. P.K. is thankful to DBT for fellowship during her doctoral studies. S.L. is thankful for a Research Assistantship and SRFship to DBT. S.H. acknowledges the DST, Govt. of India for the DST INSPIRE Faculty Award. The technical assistance of Jitendra Kumar and Sanjay Kumar is duly acknowledged in this study. The participation of Sunil Kumar and Sarin Prakash in data management and sample collection, respectively is also duly acknowledged.
References
- 1.
WHO. Global Tuberculosis Report. 2019.
- 2. Sharma SK, Mohan A. Extrapulmonary tuberculosis. The Indian journal of medical research. 2004;120(4):316–53. Epub 2004/11/03. pmid:15520485
- 3.
WHO. Index TB- Guidelines for Extra Pulmonary tuberculosis India. 2016.
- 4. Sanai FM, Bzeizi KI. Systematic review: tuberculous peritonitis—presenting features, diagnostic strategies and treatment. Alimentary pharmacology & therapeutics. 2005;22(8):685–700. Epub 2005/10/04.
- 5. Sharma MP, Bhatia V. Abdominal tuberculosis. The Indian journal of medical research. 2004;120(4):305–15. Epub 2004/11/03. pmid:15520484
- 6. Singh V, Kumar P, Kamal J, Prakash V, Vaiphei K, Singh K. Clinicocolonoscopic profile of colonic tuberculosis. The American journal of gastroenterology. 1996;91(3):565–8. Epub 1996/03/01. pmid:8633510
- 7. Rathi P, Gambhire P. Abdominal Tuberculosis. The Journal of the Association of Physicians of India. 2016;64(2):38–47. Epub 2016/10/13. pmid:27730779
- 8. Shakil AO, Korula J, Kanel GC, Murray NG, Reynolds TB. Diagnostic features of tuberculous peritonitis in the absence and presence of chronic liver disease: a case control study. The American journal of medicine. 1996;100(2):179–85. Epub 1996/02/01. pmid:8629652
- 9. Demir K, Okten A, Kaymakoglu S, Dincer D, Besisik F, Cevikbas U, et al. Tuberculous peritonitis—reports of 26 cases, detailing diagnostic and therapeutic problems. European journal of gastroenterology & hepatology. 2001;13(5):581–5. Epub 2001/06/09.
- 10. Vardareli E, Kebapci M, Saricam T, Pasaoglu O, Acikalin M. Tuberculous peritonitis of the wet ascitic type: clinical features and diagnostic value of image-guided peritoneal biopsy. Digestive and liver disease: official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver. 2004;36(3):199–204. Epub 2004/03/30.
- 11. Hillebrand DJ, Runyon BA, Yasmineh WG, Rynders GP. Ascitic fluid adenosine deaminase insensitivity in detecting tuberculous peritonitis in the United States. Hepatology. 1996;24(6):1408–12. Epub 1996/12/01. pmid:8938171
- 12.
WHO. Commercial Serodiagnostic Tests for Diagnosis of Tuberculosis. Policy Statement. 2011.
- 13. Hallur V, Sharma M, Sethi S, Sharma K, Mewara A, Dhatwalia S, et al. Development and evaluation of multiplex PCR in rapid diagnosis of abdominal tuberculosis. Diagnostic microbiology and infectious disease. 2013;76(1):51–5. Epub 2013/04/24. pmid:23608350
- 14. Yonal O, Hamzaoglu HO. What is the most accurate method for the diagnosis of intestinal tuberculosis? The Turkish journal of gastroenterology: the official journal of Turkish Society of Gastroenterology. 2010;21(1):91–6. Epub 2010/06/17.
- 15. Kulkarni S, Vyas S, Supe A, Kadival G. Use of polymerase chain reaction in the diagnosis of abdominal tuberculosis. Journal of gastroenterology and hepatology. 2006;21(5):819–23. Epub 2006/05/18. pmid:16704529
- 16. Portillo-Gomez L, Morris SL, Panduro A. Rapid and efficient detection of extra-pulmonary Mycobacterium tuberculosis by PCR analysis. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2000;4(4):361–70. Epub 2000/04/25.
- 17. Steingart KR, Schiller I, Horne DJ, Pai M, Boehme CC, Dendukuri N. Xpert(R) MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults. The Cochrane database of systematic reviews. 2014(1):CD009593. Epub 2014/01/23. pmid:24448973
- 18.
WHO. Rapid Communication: Molecular assays as initial tests for the diagnosis of tuberculosis and rifampicin resistance. 2020.
- 19. Kohli M, Schiller I, Dendukuri N, Dheda K, Denkinger CM, Schumacher SG, et al. Xpert((R)) MTB/RIF assay for extrapulmonary tuberculosis and rifampicin resistance. The Cochrane database of systematic reviews. 2018;8:CD012768. Epub 2018/08/28. pmid:30148542
- 20.
WHO. WHO consolidated guidelines on tuberculosis. Module:3, Rapid diagnosis of tuberculosis detection. 2020.
- 21. Liu R, Li J, Tan Y, Shang Y, Li Y, Su B, et al. Multicenter evaluation of the acid-fast bacillus smear, mycobacterial culture, Xpert MTB/RIF assay, and adenosine deaminase for the diagnosis of tuberculous peritonitis in China. International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases. 2020;90:119–24. Epub 2019/11/07.
- 22. Tadesse M, Abebe G, Bekele A, Bezabih M, Yilma D, Apers L, et al. Xpert MTB/RIF assay for the diagnosis of extrapulmonary tuberculosis: a diagnostic evaluation study. Clinical microbiology and infection: the official publication of the European Society of Clinical Microbiology and Infectious Diseases. 2019;25(8):1000–5. Epub 2018/12/26.
- 23. Weerakoon KG, McManus DP. Cell-Free DNA as a Diagnostic Tool for Human Parasitic Infections. Trends in parasitology. 2016;32(5):378–91. Epub 2016/02/06. pmid:26847654
- 24. De Vlaminck I, Martin L, Kertesz M, Patel K, Kowarsky M, Strehl C, et al. Noninvasive monitoring of infection and rejection after lung transplantation. Proceedings of the National Academy of Sciences of the United States of America. 2015;112(43):13336–41. Epub 2015/10/16. pmid:26460048
- 25. Schwarzenbach H, Hoon DS, Pantel K. Cell-free nucleic acids as biomarkers in cancer patients. Nature reviews Cancer. 2011;11(6):426–37. Epub 2011/05/13. pmid:21562580
- 26. Lo YM, Corbetta N, Chamberlain PF, Rai V, Sargent IL, Redman CW, et al. Presence of fetal DNA in maternal plasma and serum. Lancet. 1997;350(9076):485–7. Epub 1997/08/16. pmid:9274585
- 27. Dinakaran V, Rathinavel A, Pushpanathan M, Sivakumar R, Gunasekaran P, Rajendhran J. Elevated levels of circulating DNA in cardiovascular disease patients: metagenomic profiling of microbiome in the circulation. PloS one. 2014;9(8):e105221. Epub 2014/08/19. pmid:25133738
- 28. Lo YM, Chan LY, Lo KW, Leung SF, Zhang J, Chan AT, et al. Quantitative analysis of cell-free Epstein-Barr virus DNA in plasma of patients with nasopharyngeal carcinoma. Cancer research. 1999;59(6):1188–91. Epub 1999/03/30. pmid:10096545
- 29. Pajek J, Kveder R, Gucek A, Skoberne A, Bren A, Bucar M, et al. Cell-free DNA in the peritoneal effluent of peritoneal dialysis solutions. Therapeutic apheresis and dialysis: official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy. 2010;14(1):20–6. Epub 2010/05/05.
- 30. Che N, Yang X, Liu Z, Li K, Chen X. Rapid Detection of Cell-Free Mycobacterium tuberculosis DNA in Tuberculous Pleural Effusion. Journal of clinical microbiology. 2017;55(5):1526–32. Epub 2017/03/10. pmid:28275073
- 31. Haldar S, Sankhyan N, Sharma N, Bansal A, Jain V, Gupta VK, et al. Detection of Mycobacterium tuberculosis GlcB or HspX Antigens or devR DNA impacts the rapid diagnosis of tuberculous meningitis in children. PloS one. 2012;7(9):e44630. Epub 2012/09/18. pmid:22984534
- 32. Haldar S, Sharma N, Gupta VK, Tyagi JS. Efficient diagnosis of tuberculous meningitis by detection of Mycobacterium tuberculosis DNA in cerebrospinal fluid filtrates using PCR. Journal of medical microbiology. 2009;58(Pt 5):616–24. Epub 2009/04/17. pmid:19369523
- 33. Fernandez-Carballo BL, Broger T, Wyss R, Banaei N, Denkinger CM. Toward the Development of a Circulating Free DNA-Based In Vitro Diagnostic Test for Infectious Diseases: a Review of Evidence for Tuberculosis. Journal of clinical microbiology. 2019;57(4). Epub 2018/11/09.
- 34. Yang X, Che N, Duan H, Liu Z, Li K, Li H, et al. Cell-free Mycobacterium tuberculosis DNA test in pleural effusion for tuberculous pleurisy: a diagnostic accuracy study. Clinical microbiology and infection: the official publication of the European Society of Clinical Microbiology and Infectious Diseases. 2020;26(8):1089 e1–e6. Epub 2019/12/06.
- 35. Xuelian Li WD, Yuxuan Wang, Zichen Liu, Kun Li, Hongmei Chen, Rongmei Liu, et al. Rapid Diagnosis of Tuberculosis Meningitis by Detecting Mycobacterium tuberculosis Cell-Free DNA in Cerebrospinal Fluid. Am J Clin Pathol. 2019;XX:1–5.
- 36. Shao L QC, Zheng L, Yang Y, Yang X, Liang Q, Zhang Y, et al. Comparison of diagnostic accuracy of the GeneXpert Ultra, and cell-free nucleic acid assay for tuberculous meningitis: a multicenter prospective study. International Journal of Infectious Diseases. 2020; https://doi.org/10.1016/j.ijid.2020.06.076.
- 37. Kumari P, Lavania S, Tyagi S, Dhiman A, Rath D, Anthwal D, et al. A novel aptamer-based test for the rapid and accurate diagnosis of pleural tuberculosis. Analytical biochemistry. 2019;564–565:80–7. Epub 2018/10/24. pmid:30352198
- 38. Van Hoving DJ, Griesel R, Meintjes G, Takwoingi Y, Maartens G, Ochodo EA. Abdominal ultrasound for diagnosing abdominal tuberculosis or disseminated tuberculosis with abdominal involvement in HIV-positive individuals. The Cochrane database of systematic reviews. 2019;9:CD012777. Epub 2019/10/01. pmid:31565799
- 39.
UNITAID. Tuberculosis Diagnostics Technology and Market Landscape, fourth ed. 2015.
- 40. Rana S, Farooqui MR, Anees A, Ahmad Z, Jairajpuri ZS. The role of laboratory investigations in evaluating abdominal tuberculosis. Journal of family & community medicine. 2015;22(3):152–7. Epub 2015/09/24.
- 41. Horvath KD, Whelan RL. Intestinal tuberculosis: return of an old disease. The American journal of gastroenterology. 1998;93(5):692–6. Epub 1998/06/13. pmid:9625110
- 42. Bolognesi M, Bolognesi D. Complicated and delayed diagnosis of tuberculous peritonitis. The American journal of case reports. 2013;14:109–12. Epub 2013/07/05. pmid:23826447
- 43. Gyanchandani R, Kvam E, Heller R, Finehout E, Smith N, Kota K, et al. Whole genome amplification of cell-free DNA enables detection of circulating tumor DNA mutations from fingerstick capillary blood. Scientific reports. 2018;8(1):17313. Epub 2018/11/25. pmid:30470782
- 44. Augustus E, Van Casteren K, Sorber L, van Dam P, Roeyen G, Peeters M, et al. The art of obtaining a high yield of cell-free DNA from urine. PloS one. 2020;15(4):e0231058. Epub 2020/04/07. pmid:32251424
- 45. Al Shohaib S. Tuberculous peritonitis in hemodialysis patients with chronic liver disease. Saudi journal of kidney diseases and transplantation: an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia. 2000;11(4):577–82. Epub 2008/01/23.
- 46. Chen HL, Wu MS, Chang WH, Shih SC, Chi H, Bair MJ. Abdominal tuberculosis in southeastern Taiwan: 20 years of experience. Journal of the Formosan Medical Association = Taiwan yi zhi. 2009;108(3):195–201. Epub 2009/03/19. pmid:19293034
- 47. Elshimali YI, Khaddour H, Sarkissyan M, Wu Y, Vadgama JV. The clinical utilization of circulating cell free DNA (CCFDNA) in blood of cancer patients. International journal of molecular sciences. 2013;14(9):18925–58. Epub 2013/09/26. pmid:24065096
- 48. Thierry AR, El Messaoudi S, Gahan PB, Anker P, Stroun M. Origins, structures, and functions of circulating DNA in oncology. Cancer metastasis reviews. 2016;35(3):347–76. Epub 2016/07/10. pmid:27392603
- 49. Pisetsky DS, Fairhurst AM. The origin of extracellular DNA during the clearance of dead and dying cells. Autoimmunity. 2007;40(4):281–4. Epub 2007/05/23. pmid:17516210
- 50. Choi JJ RCI, Pisetsky DS. Release of DNA from dead and dying lymphocyte and monocyte cell lines in vitro. Scand J Immunol 2004;60:159. 61. pmid:15238085
- 51. Choi JJ RC III, Pisetsky DS. The role of macrophages in the in vitro generation of extracellular DNA from apoptotic and necrotic cells. Immunology. 2005:115–55.
- 52. Anatoli Kustanovich RS, Tamar Peretz, and Albert Grinshpun. Life and death of circulating cell-free DNA. Cancer Biology and Therapy. 2019;20(8):1057–67.
- 53. Leung F KV, Diamandis EP, et al. Circulating tumor, 2016;62 DaacbfofCC, (8):1054–1060. Circulating tumor DNA as a cancer biomarker: fact or fiction? Clinical chemistry. 2016;62(8):1054–60. pmid:27259816
- 54. Yu SCY LS, Jiang P, et al. High-resolution profiling of fetal DNA clearance from maternal plasma by massively parallel sequencing. Clinical chemistry. 2013;59(8):1228–37. pmid:23603797
- 55. Lauber K BS, Waibel M, Wesselborg S. Lauber K1, Blumenthal SG, Waibel M, Wesselborg S. Mol Cell. 2004;14(3):277–87. pmid:15125832
- 56. Fadok VA BD, Henson PM. Phagocyte receptors for apoptotic cells: recognition, uptake, and consequences. J Clin Invest. 2001;108(7):957–62. pmid:11581295
- 57. Behar SM MC, Booty MG, Nishimura T, Zhao X, Gan HX, Divangahi M, et al. Apoptosis is an innate defense function of macrophages against Mycobacterium tuberculosis. Mucosal immunology. 2011;4(3):279–87. pmid:21307848
- 58. Sharma SK, Kohli M, Chaubey J, Yadav RN, Sharma R, Singh BK, et al. Evaluation of Xpert MTB/RIF assay performance in diagnosing extrapulmonary tuberculosis among adults in a tertiary care centre in India. The European respiratory journal. 2014;44(4):1090–3. Epub 2014/07/27. pmid:25063241
- 59. Maynard-Smith L, Larke N, Peters JA, Lawn SD. Diagnostic accuracy of the Xpert MTB/RIF assay for extrapulmonary and pulmonary tuberculosis when testing non-respiratory samples: a systematic review. BMC infectious diseases. 2014;14:709. Epub 2015/01/21. pmid:25599808