The Role of Efflux Pumps transporter in Multi-drug Resistant Tuberculosis: Mycobacterial memberane protein(MmpL5)

BACKGROUND

The overexpression of efflux pumps (Eps) was reported to contribute to multidrug resistant tuberculosis (MDR-TB). Increases in Eps that expel structurally unrelated drugs contribute to reduced susceptibility by decreasing the intracellular concentration of antibiotics. In the present study, an association of mycobacterial membrane protein (MmpS5-MmpL5) Ep and its gene regulator (Rv0678) was investigated in MDR-tuberculosis isolates.

METHODS

MTB strains were isolated from patients at two different intervals, i.e., once when they had persistent symptoms despite 3-15 ≥ months of treatment and once when they had started new combination therapy ≥2-3 months. Sputum specimens were subjected to Xpert MTB/rifampicin test and then further susceptibility testing using proportional method and multiplex polymerase chain reaction (PCR) were performed on them. The isolates were characterized using both 16S-23S RNA and hsp65 genes spacer (PCR-restriction fragment length polymorphism). Whole-genome sequencing (WGS) was investigated on two isolates from culture-positive specimen per patient. The protein structure was simulated using the SWISS-MODEL. The input format used for this web server was FASTA (amino acid sequence). Protein structure was also analysis using Ramachandran plot.

RESULTS

WGS documented deletion, insertion, and substitution in transmembrane transport protein MmpL5 (Rv0676) of Eps. Majority of the studied isolates (n = 12; 92.3%) showed a unique deletion mutation at three positions: (a) from amino acid number 771 (isoleucine) to 776 (valine), (b) from amino acid number 785 (valine) to 793 (histidine), and (c) from amino acid number 798 (leucine) to 806 (glycine)." One isolate (7.6%) had no deletion mutation. In all isolates (n = 13; 100%), a large insertion mutation consisting of 94 amino acid was observed "from amino acid number 846 (isoleucine) to amino acid number 939 (leucine)". Thirty-eight substitutions in Rv0676 were detected, of which 92.3% were identical in the studied isolates. WGS of mycobacterial membrane proteins (MmpS5; Rv0677) and its gene regulator (Rv0678) documented no deletion, insertion, and substitution. No differences were observed between MmpS5-MmpL5 and its gene regulator in isolates that were collected at different intervals.

CONCLUSIONS

Significant genetic mutation like insertion, deletion, and substitution within transmembrane transport protein MmpL5 (Rv0676) can change the functional balance of Eps and cause a reduction in drug susceptibility. This is the first report documenting a unique amino acid mutation (insertion and deletion ≥4-94) in Rv0676 among drug-resistant MTB. We suggest the changes in Mmpl5 (Rv0676) might occurred due to in-vivo sub-therapeutic drug stress within the host cell. Changes in MmpL5 are stable and detected through subsequent culture-positive specimens.

Identification of seven types of pili in Mycobacterium tuberculosis: Using atomic force microscopy

Background

Pili are polymeric, hydrophobic, proteinaceous structures generally composed of a major repeating subunit called pilin and, in some cases, a minor tip-associated adhesin subunit. Pili are involved in many virulence-associated functions, such as biofilm formation, adherence, and colonization of mucosal surfaces.

Methods

Mycobacterium tuberculosis (MTB) strains were isolated from clinically and laboratory-confirmed cases of tuberculosis (TB). The TB isolates were subjected to the Xpert MTB/rifampicin test and then, further susceptibility testing was performed on them against first- and second-line drugs using proportional methods. Thereafter, the selected isolates were subculture in Dubos Tween-albumin liquid culture medium, and at their exponential growth phase (OD600 = 0.05 (5 × 106 colony-forming unit/mL), cells were observed under atomic force microscopy (AFM). For each isolate, 15-20 steel sample packs were prepared and observed under AFM. Here, the data presented are the result of average observation.

Results

Under AFM, seven different types of pili were detected, out of which four types, i.e., Type III, Type IV secretion pili, and Type IV-like pili, curli-like pili (MTP) were similar to reported pili in Gram-negative and Gram-positive bacteria. Whereas the other three forms, i.e., Type V (relief funnel pili), Type VI (adhesion tapering), and Type VII (adhesion flap pili), were newly identified and named according to their appearance. Both Types of IV pili were detected in all clinical isolates irrespective of their susceptibility patterns, although significant differences were observed from the side of their protruding. Type Curli pili is similar in appearance in all clinical isolates. Types VI and VII were detected only in extensively drug-resistant and totally drug-resistant-TB isolates (100%). The Type III pili (secretion needle pili) was present in both susceptible- and drug-resistant bacilli, although in drug-resistant strains, we found a considerable difference in their length (50 μ ±10 nm in length) and sometimes, they also had tapering at end. The Type V pili was seen in susceptible isolates but it was at the resting stage (100%; lying aside of cell wall) whereas in drug-resistant isolates, they were getting apart from the cell wall of bacilli with a clear tapering or funnel shape structure.

Conclusion

The results of this study highlight the importance of new types of pili expressions in respect of susceptibility patterns in TB. The identified new types of pili would be promising approaches for the treatment and prevention of drug-resistant TB, which needs further investigation.

An Efficient Capsule-based Network for 2D Left Ventricle Segmentation in Echocardiography Images

The segmentation of cardiac chambers is essential for the clinical diagnosis and treatment of cardiovascular diseases. It is demonstrated that in cardiac disease, the left ventricle (LV) is extensively involved. Therefore, segmentation of the LV in echocardiographic images is critical for the precise evaluation of factors that influence cardiac function such as LV volume, ejection fraction, and LV mass. Although these measurements could be obtained by manual segmentation of the LV, it would be time-consuming and inaccurate because of the poor quality and low contrast of these images. Convolutional neural networks, commonly referred to as CNNs, have emerged as a highly favored deep learning technique for medical image segmentation. Despite their popularity, the pooling layers in CNNs ignore the spatial information and do not consider the part-whole hierarchy relationships. Furthermore, they require a large training dataset and a large number of parameters. Therefore, Capsule Networks are proposed to address the CNNs limitations. In this study, for the first time, an optimized capsule-based network for object segmentation called SegCaps is proposed to achieve accurate LV segmentation on echocardiography images applied to the CAMUS dataset. The result was compared against the standard 2D-UNet. The modified SegCaps and 2D-UNet achieved an average Dice similarity coefficient (DSC) of 84.48% and 83.28% on LV segmentation, respectively. The capabilities of the CapsNet led to an improvement of 1.44% in DSC with 92.77% fewer parameters than the U-Net. The results indicate that the proposed method leads to accurate and efficient LV segmentation.Clinical Relevance- From a clinical point of view, our findings lead to more precise evaluations of critical cardiac parameters, including ejection fraction as well as left ventricle volume at end-diastole and end-systole.

Effect of COVID-19 pandemic on incidence of mycobacterial diseases among suspected tuberculosis pulmonary patients in Tehran, Iran

Background

Recent pandemic of coronavirus SARS-CoV-2 (COVID-19) caused limitations in the country's strategies to fight against mycobacterial infections. The aim of this study was to compare the suspected tuberculosis (TB) pulmonary patients before and during the COVID-19 pandemic (January 2018-December 2021) who were referred to the National Reference TB Laboratory (NRL TB), Tehran, Iran. The mycobacterial isolated strains were identified and compared with previous data.

Methods

A total of 16,899 clinical samples collected from 7041 suspected pulmonary TB patients were received from 2018 to 2021. Primary isolation of Mycobacterium isolates was done on Löwenstein-Jensen medium. Then, the DNA was extracted from acid-fast bacillus culture-positive samples and identification was performed by IS6110, Hsp65, and 16S-23S rRNA genes using polymerase chain reaction (PCR), PCR-restriction fragment length polymorphism, and nested PCR methods.

Results

A total of 11679 specimens (69.1%) from 4866 suspected TB patients were collected in 2018-2019 and 5220 specimens (30.8%; from 2175 patients) in 2020-2021. Out of 11679 specimens, 2046 samples that belong to 852 patients were infected with Mycobacterium tuberculosis, and the remaining were non-TB Mycobacterium (NTM) species (n = 244) isolated from 102 patients. The cultures for 12894 specimens were either negative (76.3%) or contaminated (845/16899; 5%). A comparison of the total number of patients who were referred for diagnosis and treatment (954/666 patients, P > 0.05) showed a 30.1% reduction during the COVID-19 pandemic. Although, with these low number of patients, the significant increases of NTM species (P < 0.05) among suspected TB pulmonary patients were observed. Besides, new species of NTM, for example, Mycobacterium peregrinum and Mycobacterium montefiorense, were detected. For the past 20 years, these two species were not reported from pulmonary patients in Iran.

Conclusions

During the pandemic of COVID-19, the TB diagnosis network became irregular, as a consequence, many patients could not reach the treatment center, and this could increase the circulation of mycobacterial diseases (TB and NTM). The study shows the emergence of new opportunistic NTM species also.

Correlation of single-nucleotide polymorphism at interferon-gamma R1 (at Position - 56) in positive purified protein derivative health workers with COVID-19 infection

Background

The aim of the present study was to investigate the susceptibility of purified protein derivative (PPD) plus health-care workers to SARS-CoV-2 (COVID-19). For this reason, single-nucleotide polymorphism (SNP) of interferon-gamma (IFN-γ) gene at position +2109 and IFN-γ receptor 1 (R1) at position -56 was assessed in PPD plus group before and after COVID-19 infection (2017-2018; 2020-2021).

Methods

The selected study cases (n = 100) that were working in tuberculosis (TB) unite (5-10 years) with PPD positivity &gt;15 mm (16-20 mm) were included in this investigation. Sampling was done twice, once before and after the COVID-19 pandemic. Group A contains 50 samples collected from the GenBank TB laboratory that belong to TB staff before the pandemic (2017-2018). The other sample (Group B; 2021) was collected from the same unite during the COVID-19 pandemic. The SNP in the IFN-γ gene (+2109; 670 bp) and IFN-γ R 1 (-56; 366 bp) was performed using a specific primer and the polymerase chain reaction products were digested using restriction enzyme Fau I and Bts I, respectively. Statistical analyses were used to obtain the frequency of alleles among all studied cases. The confidence intervals (CIs) and t-test were calculated using the SPSS and GraphPad Prism software.

Results

In overall, the most frequent genotype in Group A was AA (41/50; 82%) and Group B was 76% (38/50) in position + 2109 (odds ratio [OR] = 0.69, 95% CI, 0.26-1.83, and P = 0.46). Although in position -56, the most frequent genotype in Group A was TT (35/50; 70%) which significantly was than Group B TT (15/50; 30%) (OR = 0.184, 95% CI, 0.78-0.43, and P = 0.00). The frequency of allele A was more in both groups at position + 2109 (OR = 0.815, 95% CI, 0.23-2.86, and P = 0.75), whereas the dominate allele at position -56 was T in Group A (OR = 1.37, 95% CI, 0.62-3.02, and P = 0.42).

Conclusion

No significant differences were observed in + 2109 in genotype among Group A and B. The main differences were seen in IFN-γ R1 at position (-56) between Group A and B. Hence, the IFN-γ R1 may play important role in COVID-19 infection. However, more study is needed to clear the IFN-γ correlation to COVID-19 infection.

A Hybrid Capsule Network for Automatic 3D Mandible Segmentation applied in Virtual Surgical Planning

Automatic mandible segmentation of CT images is an essential step to achieve an accurate preoperative prediction of an intended target in three-dimensional (3D) virtual surgical planning. Segmentation of the mandible is a challenging task due to the complexity of the mandible structure, imaging artifacts, and metal implants or dental filling materials. In recent years, utilizing convolutional neural networks (CNNs) have made significant improvements in mandible segmentation. However, aggregating data at pooling layers in addition to collecting and labeling a large volume of data for training CNNs are significant issues in medical practice. We have optimized data-efficient 3D-UCaps to achieve the advantages of both the capsule network and the CNN, for accurate mandible segmentation on volumetric CT images. A novel hybrid loss function based on a weighted combination of the focal and margin loss functions is also proposed to handle the problem of voxel class imbalance. To evaluate the performance of our proposed method, a similar experiment was conducted with the 3D-UNet. All experiments are performed on the public domain database for computational anatomy (PDDCA). The proposed method and 3D-UNet achieved an average dice coefficient of 90% and 88% on the PDDCA, respectively. The results indicate that the proposed method leads to accurate mandible segmentation and outperforms the popular 3D-UNet model. It is concluded that the proposed approach is very effective as it requires more than 50% fewer parameters than the 3D-UNet.

Clinical standards for the diagnosis, treatment and prevention of TB infection

BACKGROUND: Tuberculosis (TB) preventive therapy (TPT) decreases the risk of developing TB disease and its associated morbidity and mortality. The aim of these clinical standards is to guide the assessment, management of TB infection (TBI) and implementation of TPT.METHODS: A panel of global experts in the field of TB care was identified; 41 participated in a Delphi process. A 5-point Likert scale was used to score the initial standards. After rounds of revision, the document was approved with 100% agreement.RESULTS: Eight clinical standards were defined: Standard 1, all individuals belonging to at-risk groups for TB should undergo testing for TBI; Standard 2, all individual candidates for TPT (including caregivers of children) should undergo a counselling/health education session; Standard 3, testing for TBI: timing and test of choice should be optimised; Standard 4, TB disease should be excluded prior to initiation of TPT; Standard 5, all candidates for TPT should undergo a set of baseline examinations; Standard 6, all individuals initiating TPT should receive one of the recommended regimens; Standard 7, all individuals who have started TPT should be monitored; Standard 8, a TBI screening and testing register should be kept to inform the cascade of care.CONCLUSION: This is the first consensus-based set of Clinical Standards for TBI. This document guides clinicians, programme managers and public health officers in planning and implementing adequate measures to assess and manage TBI.

Molecular Dynamic Simulations and Molecular Docking as a Potential Way for Designed New Inhibitor Drug without Resistance

Mycobacterium tuberculosis is the cause of tuberculosis in humans and is responsible for more than 2 million deaths per year. Despite the development of anti-tuberculosis drugs (Isoniazid, Rifampicin, Ethambutol, pyrazinamide, streptomycin, etc.) and the TB vaccine, this disease has claimed the lives of many people around the world. Drug resistance in this disease is increasing day by day. Conventional methods for discovering and developing drugs are usually time-consuming and expensive. Therefore, a better method is needed to identify, design, and manufacture TB drugs without drug resistance. Bioinformatics applications in obtaining new drugs at the structural level include studies of the mechanism of drug resistance, detection of drug interactions, and prediction of mutant protein structure. In the present study, computer-based approaches including molecular dynamics simulation and molecular docking as a novel and efficient method for the identification and investigation of new cases as well as the investigation of mutated proteins and compounds will be examined .

Assessment of Cystic Fibrosis Distribution Based on Air Pollution by Geographical Information System (GIS)

BACKGROUND

It is widely accepted that concerns have been recently raised regarding the impact of air pollution on the health of children with cystic fibrosis (CF). Air pollution probably affects the exacerbation of CF and its laboratory findings. On the other hand, the World Health Organization (WHO) has asked all countries to update their data and reports on the distribution and prevalence of CF in different areas. The purpose of the present study was to investigate the distribution and prevalence of CF based on the levels of atmospheric pollutants, such as PM₁₀, PM_2.5, SO₂, NO₂, CO, and O₃ in 22 zones of Tehran, and to report the abnormal laboratory findings that might indicate the exacerbation of CF.

MATERIALS AND METHODS

The studied statistical population included children with CF referred to Masih Daneshvari Hospital from 2003 to 2020. Demographic data, location of living area, and laboratory findings were extracted from patient records. The geographic information system (GIS) was applied to indicate the distribution and dispersion of the disease. The information related to air pollutants was collected from all stations in Tehran during the studied period by the Department of Environment of Tehran Province, and the average levels were used for final reporting.

RESULTS

The analysis results on 287 CF patients demonstrated that the risk of disease exacerbation significantly increased by the presence of air pollutants. In areas with multiple air pollutants, more laboratory findings were observed to be abnormal, and the lower survival rate for patients with CF was recorded. Investigating the CF distribution pattern based on climatic layers and above mean sea level (AMSL) indicated that distribution of the disease was higher in dry areas with lower AMSL and the higher volume of the atmospheric pollutants, which were primarily centralized in southern and central Tehran.

CONCLUSION

Environmental factors, such as air pollution, can be considered vital parameters, along with high-risk factors, such as pure and integrated race, migration, and mutation, influencing the prevalence and exacerbation of CF symptoms. Considering the higher prevalence of CF in deprived areas of Tehran, households' cultural and economic level appears to be a factor in the lack of diagnostic screening and prevention of CF in these areas. On the other hand, continuous monitoring of the air pollution caused by traffic and giving warnings to CF patients and their parents is particularly important.

Accurate Automatic Glioma Segmentation in Brain MRI images Based on CapsNet

Glioma is a highly invasive type of brain tumor with an irregular morphology and blurred infiltrative borders that may affect different parts of the brain. Therefore, it is a challenging task to identify the exact boundaries of the tumor in an MR image. In recent years, deep learning-based Convolutional Neural Networks (CNNs) have gained popularity in the field of image processing and have been utilized for accurate image segmentation in medical applications. However, due to the inherent constraints of CNNs, tens of thousands of images are required for training, and collecting and annotating such a large number of images poses a serious challenge for their practical implementation. Here, for the first time, we have optimized a network based on the capsule neural network called SegCaps, to achieve accurate glioma segmentation on MR images. We have compared our results with a similar experiment conducted using the commonly utilized U-Net. Both experiments were performed on the BraTS2020 challenging dataset. For U-Net, network training was performed on the entire dataset, whereas a subset containing only 20% of the whole dataset was used for the SegCaps. To evaluate the results of our proposed method, the Dice Similarity Coefficient (DSC) was used. SegCaps and U-Net reached DSC of 87.96% and 85.56% on glioma tumor core segmentation, respectively. The SegCaps uses convolutional layers as the basic components and has the intrinsic capability to generalize novel viewpoints. The network learns the spatial relationship between features using dynamic routing of capsules. These capabilities of the capsule neural network have led to a 3% improvement in results of glioma segmentation with fewer data while it contains 95.4% fewer parameters than U-Net.

The role of interferon-gamma and interferon-gamma receptor in tuberculosis and nontuberculous mycobacterial infections

Mycobacterium tuberculosis (Mtb) and nontuberculous mycobacteria (NTM) remain the leading causes of lung disease and mortality worldwide. Interferon-gamma (IFN-γ) and its receptor (IFN-γR) play a key role in mediating immunity against Mtb and NTM. This study was conducted as a systematic review; all information was collected from databases such as: PubMed, Scopus, Medline, SID, and medical databases. Finally, all the collected data were reviewed, and all content was categorized briefly. There is growing evidence that IFN-γ plays an important role in host defense against these two intracellular pathogens by activating macrophages. In addition, IFN-γ has been shown to be an integral part of various antibacterial methods such as granuloma formation and phagosome-lysosome fusion, both of which lead to the death of intracellular Mycobacterium. As a result, its absence is associated with overgrowth of intracellular pathogens and disease caused by Mtb or Mycobacterium nontuberculosis. We also look at the role of IFN-γR in Mtb or NTM because IFN-γ acts through IFN-γR. Finally, we introduce new approaches to the treatment of M. tuberculosis complex (MTC) and NTM disease, such as cell and gene-based therapies that work by modulating IFN-γ and IFN-γR.

Human genetic background in susceptibility to tuberculosis

Tuberculosis (TB), especially in developing countries, is a major threat to human health. The pathogenesis of TB remains poorly understood, and <5%-10% of individuals infected with Mycobacterium tuberculosis (MTB) will develop clinical disease. The human genetic factors contributing to susceptibility or resistance to TB pathogenesis have been investigated by high-throughput and low-throughput association studies. Genetic polymorphisms of several genes including TLR, IGRM, VDR, ASAP1, AGMO, FOXP1, and UBLCP1 effect on the disease phenotype and also the outcome of TB treatment. Recently, microRNAs (miRNAs), which negatively regulated gene expression at the posttranscriptionally level, have gained increasing attention due to their altered expression in various human diseases, including some infections. They are crucial posttranscriptional regulators of immune response in both innate and adaptive immunity. It has been established in recent studies that the host immune response against MTB is regulated by many miRNAs, most of which are induced by MTB infection. Moreover, differential expression of miRNAs in TB patients may help distinguish between TB patients and healthy individuals or latent TB. In this review, we summarize and discuss the literature and highlight the role of selected single nucleotide polymorphisms and miRNAs that have been associated with TB infection.

An Overview of Genetic Information of Latent Mycobacterium tuberculosis

Mycobacterium tuberculosis has infected more than two billion individuals worldwide, of whom 5%–10% have clinically active disease and 90%–95% remain in the latent stage with a reservoir of viable bacteria in the macrophages for extended periods of time. The tubercle bacilli at this stage are usually called dormant, non-viable, and/or non-culturable microorganisms. The patients with latent bacilli will not have clinical pictures and are not infectious. The infections in about 2%–23% of the patients with latent status become reactivated for various reasons such as cancer, human immunodeficiency virus infection, diabetes, and/or aging. Many studies have examined the mechanisms involved in the latent state of Mycobacterium and showed that latency modified the expression of many genes. Therefore, several mechanisms will change in this bacterium. Hence, this study aimed to briefly examine the genes involved in the latent state as well as the changes that are caused by Mycobacterium tuberculosis. The study also evaluated the relationship between the functions of these genes.

Prevalence of Mycobacterium abscessus among the Patients with Nontuberculous Mycobacteria

BACKGROUND

Considering the importance of the increasing incidence of non-tuberculous mycobacteria, especially Mycobacterium abscessus worldwide, we conducted a study to evaluate the incidence of these diseases in our area. The aim of this study was to evaluate the prevalence of M. abscessus in patients with non-tuberculous mycobacteria.

METHODS

This descriptive study was performed on 18,083 samples isolated from patients with non-tuberculous mycobacteria during 2011-2017 at the Mycobacteriology Research Center (MRC), Tehran, Iran. To identify the Mycobacterium species, a 439 bp fragment of the IS6110 gene was first amplified using primers TB1 and TB2. Samples with a negative polymerase chain reaction (PCR) result were analyzed to investigate non-tuberculosis mycobacteria (NTM), especially M. abscessus using the RFLP method.

RESULTS

Of the 18,083 samples, 5513 (30.49%, 95% CI, 12.95) strains of Complex Tuberculosis and 236 (1.31%, 95% CI, 1.84) strains of NTM were identified. The mean age of the patients with NTM was 18 years, and most of them were male. The most commonly identified species in this study were M. abscessus type Ι 32 (13.56%, 95% CI, 18.36) and M. abscessus type II 13 (5.51%, 95%CI, 20.04).

CONCLUSION

In this study, we observed a high prevalence of Mycobacterium abscessus type 1 in patients. As the treatment protocol for non-TB mycobacteria is different from M. abscessus complex, the diagnosis of these species as soon as possible will be significant for physicians.

Co-Sparse Analysis Model Based Image Registration to Compensate Brain Shift by Using Intra-Operative Ultrasound Imaging

Notwithstanding the widespread use of image guided neurosurgery systems in recent years, the accuracy of these systems is strongly limited by the intra-operative deformation of the brain tissue, the so-called brain shift. Intra-operative ultrasound (iUS) imaging as an effective solution to compensate complex brain shift phenomena update patients coordinate during surgery by registration of the intra-operative ultrasound and the pre-operative MRI data that is a challenging problem.In this work a non-rigid multimodal image registration technique based on co-sparse analysis model is proposed. This model captures the interdependency of two image modalities; MRI as an intensity image and iUS as a depth image. Based on this model, the transformation between the two modalities is minimized by using a bimodal pair of analysis operators which are learned by optimizing a joint co-sparsity function using a conjugate gradient.Experimental validation of our algorithm confirms that our registration approach outperforms several of other state-of-the-art registration methods quantitatively. The evaluation was performed using seven patient dataset with the mean registration error of only 1.83 mm. Our intensity-based co-sparse analysis model has improved the accuracy of non-rigid multimodal medical image registration by 15.37% compared to the curvelet based residual complexity as a powerful registration method, in a computational time compatible with clinical use.

Distribution scheme of antituberculosis drug resistance among HIV patients in a referral centre over 10 years

OBJECTIVES

Antituberculosis drug resistance is increasing among tuberculosis (TB) patients globally, particularly in those who are human immunodeficiency virus (HIV)-positive. The aim of this study was to determine the pattern of anti-TB drug resistance in these patients in an effort to improve successful treatment outcomes with a proper regimen.

METHODS

A cross-sectional study was conducted on adult TB/HIV co-infected patients from 2005-2015. The pattern of anti-TB drug resistance was evaluated among HIV-positive patients with and without a history of TB treatment. Categorisation was made as follows: isoniazid (INH)-resistant; rifampicin (RIF)-resistant; or multidrug-resistant (MDR).

RESULTS

A total of 52 patients were enrolled in this study (median age 38 years). Among the 52 patients, 18 (34.6%) were MDR-TB patients and the rest were monoresistant TB (resistant either to INH or RIF). INH resistance was the most common resistance pattern (36.5%) noted among patients and was significantly associated with new TB cases (69% vs. 31%; P=0.01). During TB treatment, 3/48 patients (6.3%) failed treatment and 11/48 (22.9%) died. Patients with MDR-TB were more likely to die during treatment (44.4% vs. 10%; P=0.011).

CONCLUSIONS

Any drug resistance in previously treated TB cases among HIV-infected patients remains high. The risk of death is increasing in MDR-TB/HIV co-infected patients.

Association of Interferon-γ Receptor-1 Gene Polymorphism with Nontuberculous Mycobacterial Lung Infection among Iranian Patients with Pulmonary Disease

Nontuberculous mycobacteria (NTM) cause significant pulmonary infections in humans. Researchers have reported an association between interferon-gamma receptor-1 (IFN-γR1 or IFNGR1) deficiency and susceptibility to NTM, but the relevance of polymorphism within these genes is not yet clear. In this study, a single nucleotide polymorphism (SNP), T to C, at position-56 in NTM patients with pulmonary disease was investigated. Molecular identification of Mycobacterium isolates was performed with hsp65 genes using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP). Then, the host genomic DNA from confirmed NTM patients (N = 80) and control subjects (N = 80) were screened for SNPs of IFNGR1 (T-56C) by PCR-RFLP. The results indicated that NTM patients had higher TC (26/80; 32.5%) or CC (46/80; 57.5%) genotypes in comparison with control groups (TC genotypes [22/80, 27.5%]; CC genotypes [6/80, 7.5%]) (P < 0.05). In this regard, all the patients infected with rapid-growing Mycobacterium (RGM, i.e., Mycobacterium chelonae and Mycobacterium fortuitum) had CC genotypes (100%). In contrary, only 50.7% (35/69) of infected patients with slow-growing Mycobacterium (i.e., Mycobacterium simiae, Mycobacterium kansasii, and Mycobacterium avium-intracellulare) had CC genotypes. Thus, patients with CC mutation in IFNGR1 at position-56 are more likely to develop RGM infection. In overall, there is a significant association between SNP of IFNGR1 at position-56 and susceptibility to NTM infection. Based on these data, we propose SNP of IFNGR1 at position-56 as a suitable "biomarker" for identifying populations at higher risk of infection.

Bovis Bacillus Calmette-Guerin (BCG) infection induces exosomal miRNA release by human macrophages

BACKGROUND

Tuberculosis (TB) remains a significant global health concern and its diagnosis is challenging due to the limitations in the specificity and sensitivity of the current diagnostic tests. Exosomes are bioactive 30-100 nm vesicles produced by most cell types and are found in almost all human body fluids. Exosomal microRNAs (miRNAs) can transfer biological information between cells and tissues and may act as potential biomarkers in many diseases. In this pilot study, we assessed the miRNA profile of exosomes released from human monocyte-derived macrophages upon infection with Mycobacterium bovis Bacillus Calmette-Guerin (BCG).

METHODS

Human monocytes were obtained from the peripheral blood of three healthy subjects and driven to a monocyte-derived macrophage (MDM) phenotype using standard protocols. MDMs were infected with BCG or left uninfected as control. 72 h post-infection, exosomes were collected from the cell culture medium, RNA was isolated and RNA-seq performed. The raw reads were filtered to eliminate adaptor and primer sequences and the sequences were run against the mature human miRNA sequences available in miRBase. MicroRNAs were identified using an E value <0.01. miRNA network analysis was performed using the DIANA miRNA tool, miRDB and functional KEGG pathway analysis.

RESULTS

Infection of MDMs with BCG leads to the release of several exosomal miRNAs. These included miR-1224, -1293, -425, -4467, -4732, -484, -5094, -6848-6849, -4488 and -96 all of which were predicted to target metabolism and energy production-related pathways.

CONCLUSIONS

This study provides evidence for the release of specific exosomal miRNAs from BCG-infected MDMs. These exosomal miRNAs reflect host-pathogen interaction and subversion of host metabolic processes following infection.

Genomic analysis of globally diverse Mycobacterium tuberculosis strains provides insights into the emergence and spread of multidrug resistance

Multidrug-resistant tuberculosis (MDR-TB), caused by drug resistant strains of Mycobacterium tuberculosis, is an increasingly serious problem worldwide. In this study, we examined a dataset of 5,310 M. tuberculosis whole genome sequences from five continents. Despite great diversity with respect to geographic point of isolation, genetic background and drug resistance, patterns of drug resistance emergence were conserved globally. We have identified harbinger mutations that often precede MDR. In particular, the katG S315T mutation, conferring resistance to isoniazid, overwhelmingly arose before rifampicin resistance across all lineages, geographic regions, and time periods. Molecular diagnostics that include markers for rifampicin resistance alone will be insufficient to identify pre-MDR strains. Incorporating knowledge of pre-MDR polymorphisms, particularly katG S315, into molecular diagnostics will enable targeted treatment of patients with pre-MDR-TB to prevent further development of MDR-TB.

Identification of different subtypes of rapid growing Atypical Mycobacterium from water and soil sources: Using PCR-RFLP using hsp65 and rRNA 16s-23s genes

OBJECTIVE/BACKGROUND

Nontuberculosis mycobacteria (NTM) are a diverse group of microorganisms that cause a variety of diseases in humans including skin, respiratory, and gastrointestinal tract infection. Generally, NTM are classified into two categories: rapid (<7days) and slow growing (>7days). In this study, we aimed to investigate NTM frequency and prevalence in environmental samples. Additionally, we tried to identify various subtypes of isolated rapid growing mycobacteria (RGM).

METHODS

Through a prospective descriptive cross-sectional study, water and soil samples were gathered from four neighboring towns around Tehran, the capital of Iran, at different geographic directions. Every 100m² of the studied areas gave one sample containing 6g of soil in 3-5cm depth deposited in 50mL sterile water as sampling media. After digestion and decontamination, DNA from culture-positive specimens (RGM) were extracted using phenol-chloroform methods. Then the molecular identification of species and subspecies were performed using 16s-23s rRNA and hsp65 gene.

RESULTS

In total, 341 RGM were found, out of which 322 (94.4%) were identified and 20 (5.8%) could not be identified. The most frequent RGM was, Mycobacterium fortuitum (72; 22%), Mycobacterium senegalense (58; 17.7%), Mycobacterium parafortuitum (44; 13.4%) and Mycobacterium conceptionense type 1 (24; 7.2%), and Mycobacterium cheloni type 1 (20; 6.0%). As shown in Table 1, M. fortuitum had more subtypes (8), and the frequency of subtypes 1 (27.7%), 4 (16.6%), and 5 (13.8%) were higher. Among subtypes of M. senegalense, subtype 1 had a higher frequency (70.4%) in comparison to subtype 2 (29.5%). M. cheloni had just one subtype.

CONCLUSION

Our results showed M. fortuitum as the most prominent strain isolated from environmental samples. The frequency was similar in different places, irrespective of climatic variations. Availability of various subtypes of M. fortuitum might indicate a large circulation of this RGM in soil and water of Iranian territory. This high prevalence of M. fortuitum might raise the risk infection, especially in children, immunocompromised patients, diabetics, and cancer cases.

Comparison of single nucleotide polymorphisms [SNP] at TNF-α promoter region with TNF receptor 2 (TNFR2) in susceptibility to pulmonary tuberculosis; using PCR-RFLP technique

Since apoptosis and survival of the immune cells are crucially important in prevention or predisposition of individual from/to infections, especially in intracellular ones, the current study was performed to assess the correlation of host genetic polymorphisms with susceptibility to TB. For this reason, we investigated the difference of the single nucleotide polymorphisms [SNPs] in tumor necrosis factors [TNF-α] genes at (-238, -308, -857 and -863 position) and tumor necrosis factors receptors two [TNFR2] at (T 587 G position) between patients [n=151] and control [n=83]. The genotyping was studied by using PCR-RFLP which had high sensitivity in detecting compared with other techniques. The results showed a strong correlation between two polymorphisms in different loci of TNF-α gene including TNF-α T-857 C and A 238 G. But no association were found in TNFR2 genes with susceptibility to TB. And we found no correlation between TNFR2 and TNF-α gene polymorphisms. Therefore, the TNF-α T 857 C and A 238 G SNPs could be promising marker for identifying risk populations.

Deletion of region of difference 181 in Mycobacterium tuberculosis Beijing strains

OBJECTIVES/BACKGROUND

The region of differences (RDs) polymorphisms is a potential molecular epidemiology method to distinguish origins of Mycobacterium tuberculosis. To date, 68 RDs have been identified in M. tuberculosis. This study was designed to determine the frequency of RD deletions in M. tuberculosis strains that were isolated from patients with pulmonary tuberculosis who were referred to the National Research Institute of Tuberculosis and Lung Disease for diagnosis and treatment. Therefore, highly polymorphic regions (RD1, RD150, and RD181) among M. tuberculosis strains isolates were investigated.

METHODS

A total of 250 M. tuberculosis isolates were identified by conventional and molecular methods. Subsequently, spoligotyping and RD typing (RD1, RD150 and RD181) were performed to genotype these strains.

RESULTS

The most frequent spoligotype belonged to Haarlem (n=85, 34.0%) followed by CAS (n=54, 21.6%), T1 (n=27, 10.8%), and Beijing (n=28, 11.2%) lineages. Deletion in RD181 was identified only among the Beijing lineage (Fig. 1).

CONCLUSION

As we found a deletion in RD181 in the Beijing strains only, we propose to use this marker as an identification tool for genotyping of the Beijing strain.

Molecular detection of fluoroquinolone resistance-associated gyrA mutations in ofloxacin-resistant clinical isolates of Mycobacterium tuberculosis from Iran and Belarus

OBJECTIVE/BACKGROUND

Detection of mutations in the quinolone resistance-determining region (QRDR) of the gyrA gene could determine resistance to fluoroquinolone antituberculosis drugs. The aim of this study was to detect mutations in QRDRs.

METHODS

From 184 clinical isolates of Mycobacterium tuberculosis, ofloxacin resistance was proven in 42 isolates using the proportion method. The molecular basis of resistance to ofloxacin were investigated by the determination of mutations in the QRDR region of the gyrA gene. Extracted DNA fragments of 194bp from the gyrA gene were amplified and an automatic DNA sequencer was used for the sequencing process.

RESULTS

Molecular genetic analysis of 42 resistant M. tuberculosis strains demonstrated that they belong to Principal Genetic Group (PGG) 1 in 19 cases (45.2±10.9%), to PGG2 in 15 cases (35.7±10.5%), and to PGG3 in eight cases (19.0±8.4%). Isolates from PGG1 were dominant among resistant isolates (P<.05). It was found that 24 (57%) resistant isolates carried mutations at codon 94 with five different amino acid changes: D94A (n=11), D94G (n=3), D94T (n=4), D94A (n=4), and D94Y (n=2). The remaining 18 (43%) isolates had mutations in codon A90V (GCG→GTG) and S91P (TCG→CCG). Five isolates had two mutations in codons 90 and 94. There was no difference between mutations at these two codons in resistant isolates of the two countries (P<.001). There was no polymorphism observed in codon 95 in any of the ofloxacin-susceptible isolates.

CONCLUSION

It was concluded that the determination of nucleotide sequences of QRDRs can be used as a molecular test for the rapid detection of ofloxacin resistance. Furthermore, frequencies in gyrA codons in Belarus and Iran were similar, therefore it is not of geographical concern for the two countries.

Curvelet based residual complexity objective function for non-rigid registration of pre-operative MRI with intra-operative ultrasound images

Intra-operative ultrasound as an imaging based method has been recognized as an effective solution to compensate non rigid brain shift problem in recent years. Measuring brain shift requires registration of the pre-operative MRI images with the intra-operative ultrasound images which is a challenging task. In this study a novel hybrid method based on the matching echogenic structures such as sulci and tumor boundary in MRI with ultrasound images is proposed. The matching echogenic structures are achieved by optimizing the Residual Complexity (RC) in the curvelet domain. At the first step, the probabilistic map of the MR image is achieved and the residual image as the difference between this probabilistic map and intra-operative ultrasound is obtained. Then curvelet transform as a sparse function is used to minimize the complexity of residual image. The proposed method is a compromise between feature-based and intensity-based approaches. Evaluation was performed using 14 patients data set and the mean of registration error reached to 1.87 mm. This hybrid method based on RC improves accuracy of nonrigid multimodal image registration by 12.5% in a computational time compatible with clinical use.

Association of IFN-γ and P2X7 Receptor Gene Polymorphisms in Susceptibility to Tuberculosis Among Iranian Patients

Interferon-gamma (IFN-γ) and P2X7 receptor are crucial for host defence against mycobacterial infections. Recent studies have indicated that IFN-γ, IFN-γ receptor 1 (IFN-γR1) andP2X7 gene polymorphisms are associated with susceptibility to pulmonary tuberculosis (TB). However, the relationship between IFN-γ and P2X7 polymorphism and TB susceptibility remains inconclusive in Iranian population. For this reason, single nucleotide polymorphisms (SNPs) in IFN-γ (G+2109A), IFN-γR1 (G-611A) and P2X7 genes (at -762, 1513 position) in patients (n = 100) were assessed using PCR-RFLP. Data were analysed with SPSS version 18. For the 2109 loci of IFN-γ gene, the frequency of mutant alleles between patients and controls were not statistically significant. However, there was a significant difference between the TB patient and controls for -611 alleles of IFN-γR1 (P = 0.01). Additionally, the frequency of P2X7 gene polymorphisms (SNP-762 and 1513) between patients and controls was statistically significant. In conclusions, our study revealed a significant association of IFN-γR1 and P2X7 genes polymorphisms with risk of developing TB in Iranian population.

Mycobacterium Bovis infection in children in the same family: transmission through inhalation

Two children in the same family were infected with Mycobacterium bovis (“M. bovis”). The molecular typing showed an identical source of infection. Althoughon school of thought was that the route of transmission was by ingestion of contaminated dairy milk, in other it was thought to be by air-borne transmission. The presentation highlighted the possibility of M. bovis infection in the pediatrics populations through aerosols.

Populations of latent Mycobacterium tuberculosis lack a cell wall: Isolation, visualization, and whole-genome characterization

OBJECTIVE/BACKGROUND

Mycobacterium tuberculosis (MTB) causes active tuberculosis (TB) in only a small percentage of infected people. In most cases, the infection is clinically latent, where bacilli can persist in human hosts for years without causing disease. Surprisingly, the biology of such persister cells is largely unknown. This study describes the isolation, identification, and whole-genome sequencing (WGS) of latent TB bacilli after 782days (26months) of latency (the ability of MTB bacilli to lie persistent).

METHODS

The in vitro double-stress model of latency (oxygen and nutrition) was designed for MTB culture. After 26months of latency, MTB cells that persisted were isolated and investigated under light and atomic force microscopy. Spoligotyping and WGS were performed to verify the identity of the strain.

RESULTS

We established a culture medium in which MTB bacilli arrest their growth, reduce their size (0.3-0.1μm), lose their acid fastness (85-90%) and change their shape. Spoligopatterns of latent cells were identical to original H37Rv, with differences observed at spacers two and 14. WGS revealed only a few genetic changes relative to the already published H37Rv reference genome. Among these was a large 2064-bp insertion (RvD6), which was originally detected in both H37Ra and CDC1551, but not H37Rv.

CONCLUSION

Here, we show cell-wall free cells of MTB bacilli in their latent state, and the biological adaptation of these cells was more phenotypic in nature than genomic. These cell-wall free cells represent a good model for understanding the nature of TB latency.

Impact of diabetes mellitus on tuberculosis drug resistance in new cases of tuberculosis

The objectives of this study were to determine the impact of diabetes mellitus (DM) on antituberculosis drug resistance in new cases of tuberculosis (TB). A case-control study was conducted on all newly diagnosed pulmonary TB adult patients with DM as cases and without DM as controls who were hospitalised from May 2013 to October 2013 in Iran. A molecular resistance test for rapid detection of resistance to isoniazid and rifampicin was done. Multivariate analysis was performed to determine the impact of DM on any anti-TB drug resistance. In total, 62 TB cases with DM and 64 TB cases without DM were included. TB cases with DM were more likely to be older (59 years vs. 43 years; P=0.001). Two TB-DM patients had multidrug-resistant TB (MDR-TB) (3.2%) compared with no cases of MDR-TB in the control group, and more TB-DM cases had isolates that were resistant to at least one drug (12.9% vs. 10.9%). DM [odds ratio (OR)=4.82, 95% confidence interval (CI) 1-23.57], age <40 years (OR=5.48, 95% CI 1.19-25.29) and history of TB contact (OR=5.86, 95% CI 1.69-20.36) remained significantly associated with any drug resistance in the multivariate analysis. In conclusion, new TB patients with DM are at increased risk of anti-TB drug resistance. More studies are needed to confirm these results.

A hybrid method for non-rigid registration of intra-operative ultrasound images with pre-operative MR images

In recent years intra-operative ultrasound images have been used for many procedures in neurosurgery. The registration of intra-operative ultrasound images with preoperative magnetic resonance images is still a challenging problem. In this study a new hybrid method based on residual complexity is proposed for this problem. A new two stages method based on the matching echogenic structures such as sulci is achieved by optimizing the residual complexity (RC) value with quantized coefficients between the ultrasound image and the probabilistic map of MR image. The proposed method is a compromise between feature-based and intensity-based approaches. The evaluation is performed on both a brain phantom and patient data set. The results of the phantom data set confirmed that the proposed method outperforms the accuracy of conventional RC by 39%. Also the mean of fiducial registration errors reached to 1.45, 1.94 mm when the method was applied on phantom and clinical data set, respectively. This hybrid method based on RC enables non-rigid multimodal image registration in a computational time compatible with clinical use as well as being accurate.

A shape based rotation invariant method for ultrasound-MR image registration: A phantom study

In this work, a new shape based method to improve the accuracy of Brain Ultrasound-MRI image registration is proposed. The method is based on modified Shape Context (SC) descriptor in combination with CPD algorithm. An extensive experiment was carried out to evaluate the robustness of this method against different initialization conditions. As the results prove, the overall performance of the proposed algorithm outperforms both SC and CPD methods. In order to have control over the registration procedure, we simulated the deformations, missing points and outliers according to our Phantom MRI images.

Identification and genotyping of Mycobacterium tuberculosis isolated from water and soil samples of a metropolitan city

BACKGROUND

The potential role of environmental Mycobacterium tuberculosis in the epidemiology of TB remains unknown. We investigated the transmission of M tuberculosis from humans to the environment and the possible transmission of M tuberculosis from the environment to humans.

METHODS

A total of 1,500 samples were collected from three counties of the Tehran, Iran metropolitan area from February 2012 to January 2014. A total of 700 water samples (47%) and 800 soil samples (53%) were collected. Spoligotyping and the mycobacterial interspersed repetitive units-variable number of tandem repeats typing method were performed on DNA extracted from single colonies. Genotypes of M tuberculosis strains isolated from the environment were compared with the genotypes obtained from 55 patients with confirmed pulmonary TB diagnosed during the study period in the same three counties.

RESULTS

M tuberculosis was isolated from 11 of 800 soil samples (1%) and 71 of 700 water samples (10%). T family (56 of 82, 68%) followed by Delhi/CAS (11 of 82, 13.4%) were the most frequent M tuberculosis superfamilies in both water and soil samples. Overall, 27.7% of isolates in clusters were related. No related typing patterns were detected between soil, water, and clinical isolates. The most frequent superfamily of M tuberculosis in clinical isolates was Delhi/CAS (142, 30.3%) followed by NEW-1 (127, 27%). The bacilli in contaminated soil (36%) and damp water (8.4%) remained reculturable in some samples up to 9 months.

CONCLUSIONS

Although the dominant M tuberculosis superfamilies in soil and water did not correspond to the dominant M tuberculosis family in patients, the presence of circulating genotypes of M tuberculosis in soil and water highlight the risk of transmission.