Global Tuberculosis Report 2020 - Reflections on the Global TB burden, treatment and prevention efforts

Mycobacterium tuberculosis hijacks host macrophages-derived interleukin 16 to block phagolysosome maturation for enhancing intracellular growth

The discovery of promising cytokines and clarification of their immunological mechanisms in controlling the intracellular fate of Mycobacterium tuberculosis (Mtb) are necessary to identify effective diagnostic biomarkers and therapeutic targets. To escape immune clearance, Mtb can manipulate and inhibit the normal host process of phagosome maturation. Phagosome maturation arrest by Mtb involves multiple effectors and much remains unknown about this important aspect of Mtb pathogenesis. In this study, we found that interleukin 16 (IL-16) is elevated in the serum samples of Tuberculosis (TB) patients and can serve as a specific target for treatment TB. There was a significant difference in IL-16 levels among active TB, latent TB infection (LTBI), and non-TB patients. This study first revealed that macrophages are the major source of IL-16 production in response to Mtb infection, and elucidated that IL-16 can promote Mtb intracellular survival by inhibiting phagosome maturation and suppressing the expression of Rev-erbα which can inhibit IL-10 secretion. The experiments using zebrafish larvae infected with M. marinum and mice challenged with H37Rv demonstrated that reducing IL-16 levels resulted in less severe pathology and improved survival, respectively. In conclusion, this study provided direct evidence that Mtb hijacks the host macrophages-derived interleukin 16 to enhance intracellular growth. It is suggesting the immunosuppressive role of IL-16 during Mtb infection, supporting IL-16 as a promising therapeutic target.

Genomic analysis of lineage-specific transmission of multidrug resistance tuberculosis in China

OBJECTIVES

We investigated the genetic diversities and lineage-specific transmission dynamics of multidrug-resistant tuberculosis (MDR-TB), with the goal of determining the potential factors driving the MDR epidemics in China.

METHODS

We curated a large nationwide Mycobacterium tuberculosis (M. tuberculosis) whole genome sequence data set, including 1313 MDR strains. We reconstructed the phylogeny and mapped the transmission networks of MDR-TB across China using Bayesian inference. To identify drug-resistance variants linked to enhanced transmissibility, we employed ordinary least-squares (OLS) regression analysis.

RESULT

The majority of MDR-TB strains in China belong to lineage 2.2.1. Transmission chain analysis has indicated that the repeated and frequent transmission of L2.2.1 plays a central role in the establishment of MDR epidemic in China, but no occurrence of a large predominant MDR outbreak was detected. Using OLS regression, the most common single nucleotide polymorphisms (SNPs) associated with resistance to isoniazid (katG_p.Ser315Thr and katG_p.Ser315Asn) and rifampicin (rpoB_p.Ser450Leu, rpoB_p.His445Tyr, rpoB_p.His445Arg, rpoB_p.His445Asp, and rpoB_p.His445Asn) were more likely to be found in L2 clustered strains. Several putative compensatory mutations in rpoA, rpoC, and katG were significantly associated with clustering. The eastern, central, and southern regions of China had a high level of connectivity for the migration of L2 MDR strains throughout the country. The skyline plot showed distinct population size expansion dynamics for MDR-TB lineages in China.

CONCLUSION

MDR-TB epidemic in China is predominantly driven by the spread of highly transmissible Beijing strains. A range of drug-resistance mutations of L2 MDR-TB strains displayed minimal fitness costs and may facilitate their transmission.

The dynamics of tuberculosis transmission model with different genders

The dynamics of tuberculosis transmission model with different genders are to be established and studied. The basic regeneration numbers R 0 = R F + R M are to be defined, where R F and R M to be the basic reproduction number of tuberculosis transmission in female and male populations, respectively. The existence and global stability of the disease-free equilibrium was discussed when R 0 < 1 . The global dynamic behaviours of the corresponding limit system under some conditions are to be provided, including the existence, uniqueness, and global stability of the disease-free equilibrium and endemic equilibrium. The numerical simulation shows that the endemic equilibrium may be unique and stable when R 0 > 1 , and the system will undergo Hopf bifurcation based on some parameter values. Finally, we applied this model to analyse the transmission of tuberculosis in China, estimated the incidence of tuberculosis in China in 2035, and gave the conclusion that controlling the incidence of tuberculosis in male populations could better reduce the incidence of tuberculosis in China.

Factors associated with tuberculosis drug resistance among presumptive multidrug resistance tuberculosis patients identified in a DRTB surveillance study in western Kenya

Multidrug-resistant tuberculosis (MDR-TB) is caused by M. tuberculosis (Mtb) with resistance to the first-line anti-TB medicines isoniazid (INH) and rifampicin (RIF). In Western Kenya, there is reported low prevalence of drug resistant strains among HIV tuberculosis patients, creating a need to determine factors associated with drug resistance patterns among presumptive MDR-TB patients. To determine factors associated with drug resistance patterns among presumptive MDR-TB patients in western Kenya. Three hundred and ninety (3 9 0) sputum sample isolates from among presumptive multidrug TB patients, were analyzed for TB drug resistance as per Ministry of Health (MoH) TB program diagnostic algorithm. Frequency and percentages were used to summarize categorical data while median and interquartile range (IQR) were used for continuous data. Multivariable logistic regression was carried out to identify factors associated with TB drug resistance. Out of 390 participants enrolled, 302/390 (77.4 %) were males, with a median age of 34 years. The HIV-infected were 118/390 (30.3 %). Samples included 322 (82.6 %) from presumptive patients, while 68/390 (17.4 %) were either lost to follow-up patients, failures to first-line treatment or newly diagnosed cases. A total of 64/390 (16.4 %) of the isolates had at least some form of drug resistance. Out of 390, 14/390 (3.6 %) had MDR, 12 (3.1 %) were RIF mono-resistance, 34 (8.7 %) had INH, while 4 (1 %) had ethambutol resistance. The category of previously treated patients (those who received or are currently on TB treatment) had a 70 % reduced likelihood of resistance (aOR: 0.30; 95 % CI: 0.13-0.70). In contrast, older age was associated with an increased likelihood of resistance to INH and RIF, with an adjusted odds ratio of 1.04 per year (95 % CI: 1.00-1.08). Prompt MDR-TB diagnosis is essential for appropriate patient care, management, and disease prevention and control. We recommend active surveillance on drug resistant TB in these regions to detect drug resistance patterns for rapid disease management.

2-Aryl-Benzoimidazoles as Type II NADH Dehydrogenase Inhibitors of Mycobacterium tuberculosis

The nonproton pumping type II NADH dehydrogenase in Mycobacterium tuberculosis is essential for meeting the energy needs in terms of ATP under normal aerobic and stressful hypoxic environmental states. Type II NADH dehydrogenase conduits electrons into the electron transport chain in Mycobacterium tuberculosis, which results in ATP synthesis. Therefore, the inhibition of NDH-2 ensures the abolishment of the entire ATP synthesis machinery. Also, type II NADH dehydrogenase is absent in the mammalian genome, thus making it a potential target for antituberculosis drug discovery. Herein, we have screened a commercially available library of drug-like molecules and have identified a hit having a benzimidazole core moiety (6, H37Rv mc26230; minimum inhibitory concentration (MIC) = 16 μg/mL and ATP IC50 = 0.23 μg/mL) interfering with the oxidative phosphorylation pathway. Extensive medicinal chemistry optimization resulted in analogue 8, with MIC = 4 μg/mL and ATP IC50 = 0.05 μg/mL against the H37Rv mc26230 strain of Mycobacterium tuberculosis. Compounds 6 and 8 were found to be active against mono- and multidrug-resistant mycobacterium strains and demonstrated a bactericidal response. The Peredox-mCherry experiment and identification of single-nucleotide polymorphisms in mutants of CBR-5992 (a known type II NADH dehydrogenase inhibitor) were used to confirm the molecules as inhibitors of the type II NADH dehydrogenase enzyme. The safety index >10 for the test active molecules revealed the safety of test molecules.

Regulation of Type I Interferon and Autophagy in Immunity against Mycobacterium Tuberculosis: Role of CGAS and STING1

Mycobacterium tuberculosis (M. tb) is a significant intracellular pathogen responsible for numerous infectious disease-related deaths worldwide. It uses ESX-1 T7SS to damage phagosomes and to enter the cytosol of host cells after phagocytosis. During infection, M. tb and host mitochondria release dsDNA, which activates the CGAS-STING1 pathway. This pathway leads to the production of type I interferons and proinflammatory cytokines and activates autophagy, which targets and degrades bacteria within autophagosomes. However, the role of type I IFNs in immunity against M. tb is controversial. While previous research has suggested a protective role, recent findings from cgas-sting1 knockout mouse studies have contradicted this. Additionally, a study using knockout mice and non-human primate models uncovered a new mechanism by which neutrophils recruited to lung infections form neutrophil extracellular traps. Activating plasmacytoid dendritic cells causes them to produce type I IFNs, which interfere with the function of interstitial macrophages and increase the likelihood of tuberculosis. Notably, M. tb uses its virulence proteins to disrupt the CGAS-STING1 signaling pathway leading to enhanced pathogenesis. Investigating the CGAS-STING1 pathway can help develop new ways to fight tuberculosis.

Sputum culture conversion and its predictors among drug-resistant pulmonary tuberculosis patients in eastern Ethiopia

BACKGROUND

Evidence of time to culture conversion is used to predict the time of cure from the disease and the overall drug-resistant tuberculosis (TB) treatment duration. Even though evidence about sputum culture conversion is enormous in TB treatment, no study has yet been done in our areas, where cases are common. The study aimed to assess the time to sputum conversion and its predictors among drug-resistant TB patients from October 2013 to September 2021 in eastern Ethiopia.

METHODOLOGY

A retrospective cohort study was conducted in eastern Ethiopia among 273 drug-resistant TB patients who were treated from October 2013 to September 2021 at Dire Dawa City and Harari regional treatment centres. The Kaplan-Meier method was used to estimate the median time of sputum culture conversion. Cox proportional hazards regression was employed to detect the predictors of sputum culture conversion. An adjusted hazard ratio (aHR) with 95% confidence interval (CI) was used to determine the strength and significance of the association.

RESULTS

Of the 273 drug-resistant TB patients, the sputum culture of 216 (79.12%) patients became negative in a median time of 3 months (interquartile range 2-7). The time to sputum culture conversion was negatively associated with underweight (aHR 0.65 [95% CI 0.49 to 0.90]) and poor adherence (aHR 0.41 [95% CI 0.24 to 0.69]). The time to sputum culture conversion was also positively associated with patients resistant to two or more drugs (aHR 1.58 [95% CI 1.07 to 2.32]) and patients receiving a short treatment regimen (aHR 2.24 [95% CI 1.10 to 2.55]).

CONCLUSIONS

A shorter culture conversion rate was observed compared with the median time recommended by the World Health Organization. Being underweight, poor adherence to treatment, resistance to two or more drugs and receiving a short treatment regimen were found to be predictors of time to sputum culture conversion. Implementing nutrition assessment, counselling and support of drug adherence may improve sputum culture conversion.

Quantum Dot-Based Nanosensors for In Vitro Detection of Mycobacterium tuberculosis

Despite the existing effective treatment methods, tuberculosis (TB) is the second most deadly infectious disease, its carriers in the latent and active phases accounting for more than 20% of the world population. An effective method for controlling TB and reducing TB mortality is regular population screening aimed at diagnosing the latent form of TB and taking preventive and curative measures. Numerous methods allow diagnosing TB by directly detecting Mycobacterium tuberculosis (M.tb) biomarkers, including M.tb DNA, proteins, and specific metabolites or antibodies produced by the host immune system in response to M.tb. PCR, ELISA, immunofluorescence and immunochemical analyses, flow cytometry, and other methods allow the detection of M.tb biomarkers or the host immune response to M.tb by recording the optical signal from fluorescent or colorimetric dyes that are components of the diagnostic systems. Current research in biosensors is aimed at increasing the sensitivity of detection, a promising approach being the use of fluorescent quantum dots as brighter and more photostable optical tags. Here, we review current methods for the detection of M.tb biomarkers using quantum dot-based nanosensors and summarize data on the M.tb biomarkers whose detection can be made considerably more sensitive by using these sensors.

A network pharmacology-based approach to understand the mechanism of action of anti-mycobacterial activity of Acacia nilotica: a modelling and experimental study

The rapid rise in drug-resistant tuberculosis poses a serious threat to public health and demands the discovery of new anti-mycobacterial agents. Medicinal plants are a proven potential source of bioactive compounds; however, identifying those responsible for the putative anti-mycobacterial action still remains a challenging task. In this study, we undertook a systematic network pharmacology approach to identify and evaluate anti-mycobacterial compounds from a traditional plant, Acacia nilotica, as a model system. The protein-protein interaction network revealed 17 key pathways in M. tuberculosis encompassing 40 unique druggable targets that are necessary for its growth and survival. The phytochemicals of A. nilotica were preferentially found to interfere with the cell division and cell wall biogenesis proteins, especially FtsZ and Mur. Notably, the compounds epigallocatechin, ellagic acid, chlorogenic acid, and D-pinitol were found to exhibit a potential polypharmacological effect against multiple proteins. Further, in vitro studies confirmed that the selected candidates, chlorogenic acid, and ellagic acid exhibited potent anti-mycobacterial activity (against M. smegmatis) with specific inhibition of purified M.tb FtsZ enzyme. Taken together, the present study demonstrates that network pharmacology combined with molecular docking can be utilized as an efficient approach to identify potential bioactive phytochemicals from natural products along with their mechanism of action. Hence, the compounds identified in this study can be potential lead candidates for developing novel anti-mycobacterial drugs, while the key proteins identified here can be potential drug targets.

Biochemical and crystallographic studies of L,D-transpeptidase 2 from Mycobacterium tuberculosis with its natural monomer substrate

The essential L,D-transpeptidase of Mycobacterium tuberculosis (LdtMt2) catalyses the formation of 3 → 3 cross-links in cell wall peptidoglycan and is a target for development of antituberculosis therapeutics. Efforts to inhibit LdtMt2 have been hampered by lack of knowledge of how it binds its substrate. To address this gap, we optimised the isolation of natural disaccharide tetrapeptide monomers from the Corynebacterium jeikeium bacterial cell wall through overproduction of the peptidoglycan sacculus. The tetrapeptides were used in binding / turnover assays and biophysical studies on LdtMt2. We determined a crystal structure of wild-type LdtMt2 reacted with its natural substrate, the tetrapeptide monomer of the peptidoglycan layer. This structure shows formation of a thioester linking the catalytic cysteine and the donor substrate, reflecting an intermediate in the transpeptidase reaction; it informs on the mode of entrance of the donor substrate into the LdtMt2 active site. The results will be useful in design of LdtMt2 inhibitors, including those based on substrate binding interactions, a strategy successfully employed for other nucleophilic cysteine enzymes.

Analysis of the epidemiological characteristics and influencing factors of tuberculosis among students in a large province of China, 2008-2018

This study examines tuberculosis (TB) incidence among students in Jilin Province, China, focusing on spatial, temporal, and demographic dynamics in areas of social inequality. Variation in incidence rate of TB was analyzed using the joinpoint regression method. Spatial analyses techniques included the global and local Moran indices and Getis-Ord Gi* analysis. Demographic changes in new cases were analyzed descriptively, and the Geodetector method measured the influence of risk factors on student TB incidence. The analysis revealed a declining trend in TB cases, particularly among male students. TB incidence showed geographical heterogeneity, with lower rates in underdeveloped rural areas compared to urban regions. Significant spatial correlations were observed, with high-high clusters forming in central Jilin Province. Hotspots of student TB transmission were primarily concentrated in the southwestern and central regions from 2008 to 2018. Socio-economic factors exhibited nonlinear enhancement effects on incidence rates, with a dominant bifactor effect. High-risk zones were predominantly located in urban centers, with university and high school students showing higher incidences than other educational stages. The study revealed economic determinants as being especially important in affecting TB incidence among students, with these factors having nonlinear interacting effects on student TB incidence.

Respiratory infections in low and middle-income countries

OBJECTIVES

To investigate the epidemiology, aetiology, diagnostics and management of childhood pneumonia in low and middle income countries (LMICs).

DESIGN

Review of published english literature from 2019 to February 2024.

RESULTS

Lower respiratory tract infections (LRTIs) still result in significant mortality in children under 5 years of age in LMICs. Important studies have reported a change in the pathogenesis of LRTIs over the last 5 years with respiratory syncytial virus (RSV) resulting in a large burden of disease. SARS-CoV-2 had a significant direct and indirect impact in children in LMICs. Mycobacterium tuberculosis (MTB) remains a priority pathogen in all children. Nucleic acid amplification and rapid antigen tests have improved diagnostic accuracy for MTB and other bacterial pathogens. Point of care diagnostics may overcome some limitations, but there is a need for better cost-effective diagnostics. Access to shorter courses of TB treatment are now recommended for some children, but child friendly formulations are lacking. The role of chest X-ray in TB has been recognized and included in guidelines, and lung ultrasound to diagnose LRTI is showing promise as a lower cost and accessible option.

CONCLUSION

Advances in diagnostics and large multi-centre studies have provided increased understanding of the causative pathogens of LRTIs in LMICs. Increased access to preventive strategies such as vaccines, treatment modalities including antivirals, and addressing upstream factors such as poverty are essential if further declines in LRTIs in LMICs are to be realised.

BCG immunization induced KLRG1+ NK cells show memory-like responses to mycobacterial and HIV antigens

Bacille-Calmette-Guérin (BCG) is the only approved vaccine against Mycobacterium tuberculosis (MTB), offering protection not only against tuberculosis (TB) but also non-related infections. 'Trained immunity' of innate immune cells is considered one of the mechanisms of this broad protection derived through BCG. Here, we investigated the effect of BCG on Natural Killer (NK) cells, a key innate immune cell type, and their subsequent responses to mycobacterial and HIV antigens. We found that BCG-induced KLRG1+ NK cells exhibit significantly higher production of IFNγ, compared to KLRG1- cells, indicating their memory-like responses upon exposure to these antigens (p < 0.05). These findings may be important in regions of high burden of HIV and TB where BCG is routinely administered.

New coumarin linked thiazole derivatives as antimycobacterial agents: Design, synthesis, enoyl acyl carrier protein reductase (InhA) inhibition and molecular modeling

Tuberculosis is a global serious problem that imposes major health, economic and social challenges worldwide. The search for new antitubercular drugs is extremely important which could be achieved via inhibition of different druggable targets. Mycobacterium tuberculosis enoyl acyl carrier protein reductase (InhA) enzyme is essential for the survival of M. tuberculosis. In this investigation, a series of coumarin based thiazole derivatives was synthesized relying on a molecular hybridization approach and was assessed against thewild typeMtb H37Rv and its mutant strain (ΔkatG) via inhibiting InhA enzyme. Among the synthesized derivatives, compounds 2b, 3i and 3j were the most potent against wild type M. tuberculosis with MIC values ranging from 6 to 8 μg/ mL and displayed low cytotoxicity towards mouse fibroblasts at concentrations 8-13 times higher than the MIC values. The three hybrids could also inhibit the growth of ΔkatGmutant strain which is resistant to isoniazid (INH). Compounds 2b and 3j were able to inhibit the growth of mycobacteria inside human macrophages, indicating their ability to penetrate human professional phagocytes. The two derivatives significantly suppress mycobacterial biofilm formation by 10-15 %. The promising target compounds were also assessed for their inhibitory effect against InhA and showed potent effectiveness with IC50 values of 0.737 and 1.494 µM, respectively. Molecular docking studies revealed that the tested compounds occupied the active site of InhA in contact with the NAD+ molecule. The 4-phenylcoumarin aromatic system showed binding interactions within the hydrophobic pocket of the active site. Furthermore, H-bond formation and π -π stacking interactions were also recorded for the promising derivatives.

Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning

BACKGROUND

Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significant economic burden on patients. Using machine learning to predict hospitalization costs can allocate medical resources effectively and optimize the cost structure rationally, so as to control the hospitalization costs of patients better.

METHODS

This research analyzed data (2020-2022) from a Kashgar pulmonary hospital's information system, involving 9570 eligible PTB patients. SPSS 26.0 was used for multiple regression analysis, while Python 3.7 was used for random forest regression (RFR) and MLP. The training set included data from 2020 and 2021, while the test set included data from 2022. The models predicted seven various costs related to PTB patients, including diagnostic cost, medical service cost, material cost, treatment cost, drug cost, other cost, and total hospitalization cost. The model's predictive performance was evaluated using R-square (R2), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) metrics.

RESULTS

Among the 9570 PTB patients included in the study, the median and quartile of total hospitalization cost were 13,150.45 (9891.34, 19,648.48) yuan. Nine factors, including age, marital status, admission condition, length of hospital stay, initial treatment, presence of other diseases, transfer, drug resistance, and admission department, significantly influenced hospitalization costs for PTB patients. Overall, MLP demonstrated superior performance in most cost predictions, outperforming RFR and multiple regression; The performance of RFR is between MLP and multiple regression; The predictive performance of multiple regression is the lowest, but it shows the best results for Other costs.

CONCLUSION

The MLP can effectively leverage patient information and accurately predict various hospitalization costs, achieving a rationalized structure of hospitalization costs by adjusting higher-cost inpatient items and balancing different cost categories. The insights of this predictive model also hold relevance for research in other medical conditions.

Impact of the improvement of living conditions on tuberculosis mortality in Brazil: an ecological study

BACKGROUND

The risk of death due to tuberculosis (TB) in Brazil is high and strongly related to living conditions (LC). However, epidemiological studies investigating changes in LC and their impact on TB are lacking.

OBJECTIVES

To evaluate the impact of LC on TB mortality in Brazil.

DESIGN AND SETTING

This ecological study, using panel data on spatial and temporal aggregates, was conducted in 1,614 municipalities between 2002 and 2015.

METHODS

Data were collected from the Mortality Information System and the Brazilian Institute of Geography and Statistics. The proxy variable used for LC was the Urban Health Index (UHI). Negative binomial regression models were used to estimate the effect of the UHI on TB mortality rate. Attributable risk (AR) was used as an impact measure.

RESULTS

From 2002 to 2015, TB mortality rate decreased by 23.5%, and LC improved. The continuous model analysis resulted in an RR = 0.89 (95%CI = 0.82-0.96), so the AR was -12.3%. The categorized model showed an effect of 0.92 (95%CI = 0.83-0.95) in municipalities with intermediate LC and of 0.83 (95%CI = 0.82-0.91) in those with low LC, representing an AR for TB mortality of -8.7% and -20.5%, respectively.

CONCLUSIONS

Improved LC impacted TB mortality, even when adjusted for other determinants. This impact was greater in the strata of low-LC municipalities.

Association between nutritional scores and multilevel vertebral involvement in tubercular spine: a retrospective cohort study

OBJECTIVE

The objective of this study is to evaluate the prognostic value of nutritional scores comprising the Controlling Nutritional Status (CONUT) score and the Prognostic Nutritional Index (PNI), in prediction of multilevel vertebral involvement (> 2 vertebra) in Spinal Tuberculosis (STB).

METHODS

Retrospective analysis of 39 STB patients was conducted to assess nutritional indices (CONUT and PNI) and the numbers of vertebral affection. Spearman's correlation was used to examine the association between these variables. Receiver Operating Characteristic (ROC) curves were utilized to determine optimal cutoff values, with Area Under the Curve (AUROC) evaluation. Additionally, multiple logistic regression was performed as a predictive model.

RESULTS

There were 24 males and 15 females, with a mean BMI of 18.88 kg/m² (± 1.37). Spearman's correlation analysis revealed negative correlations between BMI, PNI (rho - 0.68, p < 0.001) and multilevel vertebra involvement, while ESR (rho 0.83, p < 0.001), CRP (rho 0.81, p < 0.001), and CONUT score (rho 0.83, p < 0.001) positively correlated with multilevel vertebral affection (> 2 vertebra). Age and comorbidities showed no correlation with the level of vertebral affection. ROC analysis revealed a CONUT Score ≥ 3 cutoff (sensitivity-95.7%, specificity-87.5%) and PNI ≤ 38.605 (sensitivity-78.3%, specificity-93.8%) for predicting multilevel STB (> 2). PNI exhibited superior specificity and positive predictive value where as CONUT score was a better parameter for sensitivity, negative predictive value and diagnostic accuracy. Both CONUT score and PNI were significant predictors of vertebral involvement in univariate analysis, with multivariate analysis identifying CONUT score as the sole predictor of multilevel vertebral affection.

CONCLUSION

Nutritional scores, including CONUT score and PNI, emerged as significant predictors of multilevel STB. CONUT score displayed superior sensitivity, negative predictive value, and overall diagnostic accuracy, while PNI served as a nutritional marker with high specificity and positive predictive value in predicting multilevel involvement in spinal tuberculosis.

Factors associated with uptake of isoniazid preventive therapy among children living with HIV in Mwanza region, Tanzania: a cross-sectional study

BACKGROUND

Tuberculosis (TB) is a leading cause of death among children living with HIV (CLHIV). Isoniazid preventive therapy (IPT) reduces the incidence of TB by 70% and mortality by 50% among CLHIV. However, in most developing countries including Tanzania, the uptake of IPT is suboptimal, below the 90% WHO-global uptake target. We assessed the factors associated with IPT uptake among CLHIV in Mwanza region, Tanzania.

METHODS

This was a multicenter facility-based cross-sectional study among CLHIV aged 1 to 10 years in seven districts of Mwanza region, Tanzania from 1st November 2021 to 20th January 2022. Data were collected using a structured interview-administered questionnaire including information on children and caregivers' demographics, caregivers' health related information and children's clinical information. Our outcome variable was uptake of IPT, defined as initiation on IPT either during the time of the study or within past three years before this study We conducted modified Poisson regression to assess the association between IPT uptake and selected exposures in Stata version 15.0.

RESULTS

A total of 415 CLHIV were enrolled, the median age of the children was 7 years (Interquartile range: 5-8). The uptake of IPT was 91% (n = 377). The majority of children's caregivers were HIV positive (86%, n = 387) and were aware about IPT (63.6%, n = 264). Factors associated with IPT uptake included; having an employed caregiver [Adjusted Prevalence Ratio (aPR): 1.06 95% Confidence Interval (CI): 1.00-1.13] and attending the ART clinic every month [aPR: 1.00; 95% CI: 0.87-1.00] .

CONCLUSIONS

The uptake of IPT uptake among CLHIV in Mwanza, Tanzania exceeds the global WHO-target of ≥ 90%. Monthly ART clinic visits could be essential in promoting IPT uptake among CLHIV.

Permeability of TB drugs through the mycolic acid monolayer: a tale of two force fields

Tuberculosis (TB) treatment becomes challenging due to the unique cell wall structure of Mycobacterium tuberculosis (M. tb). Among various components of the M.tb cell wall, mycolic acid (MA) is of particular interest because it is speculated to exhibit extremely low permeability for most of the drug molecules, thus helping M.tb to survive against medical treatment. However, no quantitative assessment of the thermodynamic barrier encountered by various well-known TB drugs in the mycolic acid monolayer has been performed so far using computational tools. On this premise, our present work aims to probe the permeability of some first and second line TB drugs, namely ethambutol, ethionamide, and isoniazid, through the modelled mycolic acid monolayer, using molecular dynamics (MD) simulation with two sets of force field (FF) parameters, namely GROMOS 54A7-ATB (GROMOS) and CHARMM36 (CHARMM) FFs. Our findings indicate that both FFs provide consistent results in terms of the mode of drug-monolayer interactions but significantly differ in the drug permeability through the monolayer. The mycolic acid monolayer generally exhibited a higher free energy barrier of crossing with CHARMM FF, while with GROMOS FF, better stability of drug molecules on the monolayer surface was observed, which can be attributed to the greater electrostatic potential at the monolayer-water interface, found for the later. Although both the FF parameters predicted the highest resistance against ethambutol (permeability values of 8.40 × 10-34 cm s-1 and 9.61 × 10-31 cm s-1 for the CHARMM FF and the GROMOS FF, respectively), results obtained using GROMOS were found to be consistent with the water solubility of drugs, suggesting it to be a slightly better FF for modelling drug-mycolic acid interactions. Therefore, this study enhances our understanding of TB drug permeability and highlights the potential of the GROMOS FF in simulating drug-mycolic acid interactions.

Spatial Distribution of Smear-Positive Pulmonary Tuberculosis Incidence Rates in Iran: A Registry-Based Study (2018-2022)

Background

Smear-positive pulmonary tuberculosis (SPPTB) is a significant public health concern in Iran. This registry-based study aimed to investigate the incidence rates of SPPTB in Iran from 2018 to 2022.

Methods

The study analyzed SPPTB cases using the Spatial Lag Model to investigate the spatial distribution of SPPTB incidence rates, income inequality, and delayed diagnosis across the provinces of Iran and mapped the results using GIS maps.

Results

The study found that SPPTB is prevalent among older individuals and males. The analysis identified significant spatial variation in the distribution of SPPTB incidence rates, income inequality, and delayed diagnosis across the provinces. The highest incidence rate of SPPTB was found in Sistan and Baluchestan Province and Golestan provinces. The study found a positive association between income inequalities, measured by the Gini index, and SPPTB incidence rates, indicating that provinces with higher income inequality may have higher incidence rates of SPPTB. The negative correlation with delayed diagnosis implies that predominantly, SPPTB cases are identified in the early months.

Conclusions

The study highlights the need to address socioeconomic disparities in health outcomes and implement targeted interventions in areas with higher income inequality to reduce the burden of SPPTB in Iran. Despite decreased SPPTB incidence rates in Iran over the past decade, some regions, such as Sistan and Baluchestan, still have high incidence rates. The Iranian government has implemented policies and programs to reduce income inequality and delayed diagnosis within the country, which can contribute to reducing the burden of SPPTB.

Integrating pathogen- and host-derived blood biomarkers for enhanced tuberculosis diagnosis: a comprehensive review

This review explores the evolving landscape of blood biomarkers in the diagnosis of tuberculosis (TB), focusing on biomarkers derived both from the pathogen and the host. These biomarkers provide critical insights that can improve diagnostic accuracy and timeliness, essential for effective TB management. The document highlights recent advancements in molecular techniques that have enhanced the detection and characterization of specific biomarkers. It also discusses the integration of these biomarkers into clinical practice, emphasizing their potential to revolutionize TB diagnostics by enabling more precise detection and monitoring of the disease progression. Challenges such as variability in biomarker expression and the need for standardized validation processes are addressed to ensure reliability across different populations and settings. The review calls for further research to refine these biomarkers and fully harness their potential in the fight against TB, suggesting a multidisciplinary approach to overcome existing barriers and optimize diagnostic strategies. This comprehensive analysis underscores the significance of blood biomarkers as invaluable tools in the global effort to control and eliminate TB.

Mycobacterium tuberculosis Essential Gene Thymidylate Synthase Is Involved in Immune Modulation and Survival inside the Host

A Mycobacterium tuberculosis essential gene, ThyX (Rv2754c), plays a key role in intermediate metabolism and respiration by catalyzing the formation of dTMP and tetrahydrofolate from dUMP and methylenetetrahydrofolate. ThyX is present in the M.tb complex and in M. smegmatis a nonpathogenic strain of Mycobacteria. In this study, we identified a novel function of ThyX, an enzyme with immune-modulating properties. We have shown that ThyX can activate the macrophages in the host toward M1 response. Overexpression of ThyX stimulates the production of nitrite oxide (NO) and induces apoptosis in macrophages; indeed both responses help the host to control growth of M.tb. ThyX was also discovered to play a role in the recombinant bacterium's ability to survive when it was subjected to oxidative and hypoxic stress by macrophages. These findings demonstrate the protein's functional importance in M.tb. Indeed these findings represent ThyX as a potential candidate for future research and show this as a therapeutic target.

The role of m6A-associated membraneless organelles in the RNA metabolism processes and human diseases

N6-methyladenosine (m6A) is the most abundant post-transcriptional dynamic RNA modification process in eukaryotes, extensively implicated in cellular growth, embryonic development and immune homeostasis. One of the most profound biological functions of m6A is to regulate RNA metabolism, thereby determining the fate of RNA. Notably, the regulation of m6A-mediated organized RNA metabolism critically relies on the assembly of membraneless organelles (MLOs) in both the nucleus and cytoplasm, such as nuclear speckles, stress granules and processing bodies. In addition, m6A-associated MLOs exert a pivotal role in governing diverse RNA metabolic processes encompassing transcription, splicing, transport, decay and translation. However, emerging evidence suggests that dysregulated m6A levels contribute to the formation of pathological condensates in a range of human diseases, including tumorigenesis, reproductive diseases, neurological diseases and respiratory diseases. To date, the molecular mechanism by which m6A regulates the aggregation of biomolecular condensates associated with RNA metabolism is unclear. In this review, we comprehensively summarize the updated biochemical processes of m6A-associated MLOs, particularly focusing on their impact on RNA metabolism and their pivotal role in disease development and related biological mechanisms. Furthermore, we propose that m6A-associated MLOs could serve as predictive markers for disease progression and potential drug targets in the future.

Development, Validation, and Clinical Application of an Ultra-High-Performance Liquid Chromatography Coupled With Tandem Mass Spectrometry Method for the Determination of 10 Antituberculosis Drugs in Human Serum

INTRODUCTION

Linezolid, moxifloxacin, rifapentine, rifabutin, cycloserine, clofazimine, bedaquiline, levofloxacin, prothionamide, and ethionamide are commonly used second-line antituberculosis (anti-TB) drugs. To support therapeutic drug monitoring in regular clinical practice, the authors sought to develop a method based on ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS) that would allow for the simultaneous quantification of multiple second-line anti-TB drugs in human serum.

METHODS

Analytes were extracted from human serum by protein precipitation. UHPLC-MS/MS was performed using a gradient at a flow rate of 0.3 mL/min, and each sample was taken for 7.5 minutes. The mass spectrometry scanning mode used was electrospray ionization with multiple reaction monitoring in the positive mode.

RESULTS

Validation showed that endogenous substances in the sample did not interfere with the assay, and the relationship between X and Y was highly linear, with a coefficient of determination (R 2 ) >0.9954 for each curve. The accuracy (85.0%-114.7%) and precision (intraday: 0.27%-9.32%; interday: 0.20%-7.66%) were less than 15.0%, and the internal standard-normalized matrix effects were consistent (coefficient of variation ≤4.40%). The analytes were stable in the final extract and human serum under various storage conditions (recovery: 87.0%-115.0%). The clinical applicability of the method was demonstrated by quantitative determination of analytes in serum samples obtained from patients with TB. Reproducibility of the drug concentrations measured in clinical samples was confirmed by incurred sample reanalysis.

CONCLUSIONS

A simple and reliable analytical method was developed and validated for the simultaneous determination of 10 anti-TB drugs in human serum using UHPLC-MS/MS. Quantitation of anti-TB drugs in clinical samples confirmed that the assay is suitable for therapeutic drug monitoring in regular clinical practice.

Evaluation of Diagnostic Methods and Rifampicin Resistance in Pulmonary Tuberculosis: A Hospital-Based Study

Background Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis, predominantly affecting the lungs (pulmonary TB) and is a significant public health challenge in India. The study aims to analyze demographic, radiological, and clinical subgroups of pulmonary TB cases, examine the relationship between smear acid-fast bacillus (AFB examination) and cartridge-based nucleic acid amplification test (CBNAAT), evaluate CBNAAT sensitivity for Mycobacterium tuberculosis (MTB) in new and previously treated patients, and determine the proportion of rifampicin resistance. Methods This hospital-based prospective study was conducted among patients diagnosed with pulmonary TB at the Respiratory Medicine Department of a Government Hospital over 16 months (August 2019 to December 2020). The study included 150 diagnosed TB cases (new and previously treated). Data collection encompassed demographic details, clinical symptoms, comorbidities, radiological findings (chest X-ray), and microbiological results (smear AFB examination, CBNAAT). Sputum samples were subjected to Ziehl-Neelsen staining and CBNAAT for MTB detection and rifampicin resistance testing. Statistical analysis was performed using IBM SPSS Statistics version 21.0 (IBM Corp., Armonk, NY, USA). Results Of the 150 patients, 69.3% were male, and 48% were aged 21-40 years. The majority had a BMI of 18.5-24.9 kg/m² (50%) and resided in urban areas (63.3%). Common symptoms included cough (95.3%), fever (80%), and weight loss (74%). Cavitary lesions on chest X-ray were observed in 84% of patients. Smear microscopy detected MTB in 72.7% of cases, while CBNAAT detected MTB in 94% of cases. CBNAAT sensitivity for smear-positive and smear-negative samples was 93.97% and 94.12%, respectively. Rifampicin resistance was found in 3% of new cases and 6% of previously treated cases. The sensitivity of smear microscopy was 77.33%, and the sensitivity of CBNAAT was 94%. Conclusion The study underscores the high burden of pulmonary TB and the utility of CBNAAT in detecting MTB and rifampicin resistance, particularly in smear-negative samples. The findings highlight the necessity of universal drug susceptibility testing (DST) for effective TB management and the importance of addressing drug resistance to improve treatment outcomes.

Antimicrobial resistance profile and prevalence of Mycobacterium tuberculosis complex in Western Iran using spoligotyping method

Tuberculosis (TB) is a chronic infectious disease with multiple manifestations and gradual progression that remains a major health problem and a leading cause of death worldwide. In recent years, a number of DNA fingerprinting techniques have been developed to identify strains of the Mycobacterium tuberculosis (MTB) complex. Spoligotyping is one of the first PCR-based genotyping methods. Information on the number and identification of common strains among MTB complex samples in clinical samples from Kermanshah city is needed to develop more effective therapeutic strategies. This is a descriptive cross-sectional study of 41 sample patients with TB referred to Kermanshah Tuberculosis Centre between December 2021 and June 2022, including sputum, aspiration, urine, etc. First, the susceptibility of the developed bacteria to culture media was compared with that of isoniazid using the proportional method, and rifampin was determined according to the standard protocol. Demographic data of patients referred to the Centre for the Control of Lung Diseases were also recorded. In the next step, spoligotyping was carried out using the standard method and each strain pattern was recorded as an OCTAL code and compared with the information available at the World Bank on spoligotyping and its strains. Forty-one patients with pulmonary TB were tested using spoligotyping. Four MTB strains were identified, including H4, CAS, T1 and H1. The H4 strain also had the highest frequency with 16 samples (39%) among the MTB complex strains isolated using spoligotyping. The highest frequency of strains isolated using spoligotyping was associated with the H4 strain. It can be concluded that spoligotyping is very cost effective, simple, repeatable and highly sensitive.

Coping efforts made: Psychological burden of people living with tuberculosis due to social stigma in society. A qualitative phenomenology study

The psychological burden is greatly felt by people living with tuberculosis because the characteristics of the disease are very visible and very contagious, and the obligation to take the right dose of medication with long treatment. This is what makes tuberculosis a very stigmatic disease. The aim of this research is to explore the psychological burden felt by people living with tuberculosis due to social stigma by society and how coping efforts are made. This research uses a qualitative phenomenological design through in-depth face-to-face interviews which take place in a semi-structured manner with the hope of obtaining complete data. The purposive sampling method was used in this research with Participatory Interpretative Phenomenology analysis involving 25 participants consisting of 16 men and 9 women. This research produced several themes, including 1) "The Perception of stigma limiting space and time", 2) "The Opportunities for interpersonal interaction become narrow", 3) "The mental stress as a challenging emotion", and 4) " Expanding coping efforts". The psychological burden is felt by people living with tuberculosis because society's treatment is felt to be very discriminatory due to the social stigma that has developed in society so they lose the opportunity to interact with society. For that reason, they tried to explore some of the personal and environmental resources used to modify adaptive coping in resolving perceived psychological burdens. Given the possibility of ongoing stigma and discrimination during tuberculosis treatment programs, it is important to consider the psychological burden in this context, both on the general population and on groups affected by stigma.

Farnesoid X Receptor: Effective alleviation of rifampicin -induced liver injury

Antituberculosis drugs induce pharmacologic cholestatic liver injury with long-term administration. Liver injury resulting from rifampicin is potentially related to the bile acid nuclear receptor Farnesoid X Receptor (FXR). To investigate this, cholestasis was induced in both wild-type (C57BL/6N) mice and FXR knockout (FXR-null) mice through administration of rifampicin (200 mg/kg) via gavage for 7 consecutive days. Compared with C57BL/6N mice, FXR-null mice exhibited more severe liver injury after rifampicin administration, characterized by enlarged liver size, elevated transaminases, and increased inflammation. Moreover, under rifampicin treatment, FXR knockout impairs lipid secretion and exacerbates hepatic steatosis. Significantly, the expression of metabolism molecules BSEP increased, while NTCP and CYP7A1 decreased following rifampicin administration in C57BL/6N mice, whereas these changes were absent in FXR knockout mice. Furthermore, rifampicin treatment in both C57BL/6N and FXR-null mice was associated with elevated c-Jun N-terminal kinase phosphorylation (p-JNK) levels, with a more pronounced elevation in FXR-null mice. Our study suggests that rifampicin-induced liver injury, steatosis, and cholestasis are associated with FXR dysfunction and altered bile acid metabolism, and that the JNK signaling pathway is partially implicated in this injury. Based on these results, we propose that FXR might be a novel therapeutic target for addressing drug-induced liver injury.

Tuberculosis research advances and future trends: A bibliometric knowledge mapping approach

The Gulf Cooperation Council (GCC) countries are more vulnerable to many transmissible diseases, including tuberculosis (TB). This study is to identify the scientific publications related to TB in the GCC countries using topic modeling and co-word analysis. A bibliometric analytic study. The R-package, VOSviewer software, IBM SPPS, and Scopus Analytics were used to analyze performance, hotspots, knowledge structure, thematic evolution, trend topics, and inter-gulf and international cooperation on TB in the past 30 years (1993-2022). A total of 1999 publications associated with research on GCC-TB were published. The annual growth rate of documents was 7.76%. Saudi Arabia is the most highly published, followed by the United Arab Emirates, Kuwait, Qatar, Oman, and Bahrain. The most-cited GC country is Kingdom Saudi Arabia, followed by Kuwait. One hundred sixty research institutions contributed to the dissemination of TB-related knowledge in the GCC, where the highest publishing organizations were King Saud University (Kingdom Saudi Arabia; n = 518). The number of publications related to TB is high in GCC Countries. The current tendencies indicated that GCC scholars are increasingly focused on deep learning, chest X-ray, molecular docking, comorbid covid-19, risk factors, and Mycobacterium bovis.

Spinal Infections? mNGS Combined with Microculture and Pathology for Answers

Introduction

This study evaluates the efficacy of metagenomic next-generation sequencing (mNGS) in diagnosing spinal infections and developing therapeutic regimens that combine mNGS, microbiological cultures, and pathological investigations.

Methods

Data were collected from 108 patients with suspected spinal infections between January 2022 and December 2023. Lesion tissues were obtained via C-arm assisted puncture or open surgery for mNGS, conventional microbiological culture, and pathological analysis. Personalized antimicrobial therapies were tailored based on these findings, with follow-up evaluations 7 days postoperatively. The sensitivity and specificity of mNGS were assessed, along with its impact on treatment and prognosis.

Results

mNGS showed a significantly higher positive detection rate (61.20%) compared to conventional microbiological culture (30.80%) and PCT (28%). mNGS demonstrated greater sensitivity (79.41%) and negative predictive value (63.16%) than cultures (25% and 22.58%, respectively), with no significant difference in specificity and positive predictive value. Seven days post-surgery, a significant reduction in neutrophil percentage (NEUT%) was observed, though decreases in white blood cell count (WBC), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) were not statistically significant. At the last follow-up, significant improved in Visual Analogue Scale (VAS) scores, Oswestry Disability Index (ODI), and Japanese Orthopaedic Association (JOA) scores were noted.

Conclusion

mNGS outperforms traditional microbiological culture in pathogen detection, especially for rare and critical pathogens. Treatment protocols combining mNGS, microbiological cultures, and pathological examinations are effective and provide valuable clinical insights for treating spinal infections.

Perceived access to social support during and after TB treatment in Mbeya and Songwe regions, Tanzania: perspectives from TB patients and survivors set against health care providers

Introduction

Pulmonary tuberculosis (PTB) remains a life-threatening disease in Tanzania, with negative physical, financial, economic and psychosocial consequences to individuals and the society. It mainly lowers the quality of life of patients, survivors and their families, especially those in the poorest and socially deprived categories.

Objectives

To report and discuss a qualitative study that assessed the nature of social support desired and received by PTB patients and survivors. Participants were given a chance to share their experiences and their perceptions on whether the social support they desired had an impact on their treatment-seeking behaviour and treatment adherence.

Methods

Face-to-face interviews were conducted with the three aforementioned groups, purposively selected at a TB clinic between October 2020 and March 2021. The questions covered topics related to the types of social support desired and the sources of support during and after treatment, if any. Interviews were concluded until no new information was obtained. Data analysis was facilitated using NVivo 12 software.

Results

Participants pointed out a need for psychosocial, financial, and material support during and after treatment. However, they sometimes miss support from family/household members or the rest of the community. Because of this experience, they lived with difficulties, facing hardships when required to pay out of pocket for transport during the care-seeking. Survivors testified experience of a denial of support by even their close relatives who regarded them as no longer needing it after recovering. Patients and survivors also reported experience of social isolation as they were believed able to transmit PTB infections. Limited psychological support at the contacted TB clinics was another experience reported. TB clinic staff's experiences confirmed almost all the experiences shared by their clients. With limited support, resilience and self-care were identified as key mechanisms for coping.

Conclusion

Complete recovery from PTB is possible, but reverting to a normal life is difficult without social support. Policies and programs need to increase opportunities for social support for TB patients and survivors. Doing so is likely to improve TB-related treatment, care-seeking practices, and adherence.

Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging

The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology. With the development of newer models, AI applications are demonstrating improved performance and versatile utility in the clinical setting. Thoracic imaging is an area of profound interest, given the prevalence of chest imaging and the significant health implications of thoracic diseases. This review aims to highlight the promising applications of AI within thoracic imaging. It examines the role of AI, including its contributions to improving diagnostic evaluation and interpretation, enhancing workflow, and aiding in invasive procedures. Next, it further highlights the current challenges and limitations faced by AI, such as the necessity of 'big data', ethical and legal considerations, and bias in representation. Lastly, it explores the potential directions for the application of AI in thoracic radiology.

Design, synthesis and computational studies of new azaheterocyclic coumarin derivatives as anti-Mycobacterium tuberculosis agents targeting enoyl acyl carrier protein reductase (InhA)

In this study, we designed and synthesized a series of coumarin derivatives as antitubercular agents targeting the enoyl acyl carrier protein reductase (InhA) enzyme. Among the synthesized compounds, the tetrazole derivative 4c showed the most potent antitubercular effect with a minimum inhibitory concentration value (MIC) of 15 μg mL-1 against Mtb H37Rv and could also inhibit the growth of the mutant strain (ΔkatG). Compound 4c was able to penetrate Mtb-infected human macrophages and suppress the intracellular growth of tubercle bacilli. Moreover, the target derivative 4c showed a potent inhibitory effect against InhA enzyme with an IC50 value of 0.565 μM, which was superior to the reference InhA inhibitor triclosan. Molecular docking of compound 4c within the InhA active site revealed the importance of the 4-phenylcoumarin ring system and tetrazole moiety for activity. Finally, the physicochemical properties and pharmacokinetic parameters of 4c were investigated.

Impact of HIV coinfection on tuberculosis treatment outcomes in Ethiopia: a systematic review and meta-analysis

OBJECTIVES

Despite the implementation of a short-term direct observation treatment programme, HIV coinfection is one of the main determinants of tuberculosis (TB) treatment success. This meta-analysis was conducted to report the impact of HIV on TB treatment outcomes using inconsistent and variable study findings.

DESIGN

Systematic review and meta-analysis was performed.

DATA SOURCES

The PubMed/Medline, Web of Science and Google Scholar databases were used to access the articles. The Joanna Briggs Institute (JBI) Meta-Analysis of Statistics Assessment and Review Instrument was used for the critical appraisal.

ELIGIBILITY CRITERIA

All observational studies conducted in Ethiopia and reporting TB treatment outcomes in relation to HIV coinfection were included in the final analysis.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers extracted the data using a standardised data extraction format. The JBI critical appraisal tool was used to assess the quality of primary studies. Stata V.14 was used for the data analysis. Cochran's Q statistic with inverse variance (I2) and funnel plot are used to assess the presence of heterogeneity (I2=94.4%, p<0.001) and publication bias, respectively. A random effect model was used to estimate TB treatment outcomes with a 95% CI.

RESULTS

The overall success rate of TB treatment was 69.9% (95% CI 64% to 75%). The cure rate of TB among patients living with HIV was 19.3%. Furthermore, the odds of unsuccessful treatment among TB-HIV coinfected patients were 2.6 times greater than those among HIV nonreactive patients (OR 2.65; 95% CI 2.1 to 3.3).

CONCLUSION

The success of TB treatment among patients living with HIV in Ethiopia was lower than the WHO standard threshold (85%). HIV coinfection hurts TB treatment success. Therefore, collaborative measurements and management, such as early treatment initiation, follow-up and the management of complications, are important.

Mycobacterium tuberculosis Biofilms: Immune Responses, Role in TB Pathology, and Potential Treatment

Tuberculosis (TB) is a major public health problem worldwide, and the burden of drug-resistant TB is rapidly increasing. Although there are literatures about the Mtb biofilms, their impact on immune responses has not yet been summarized. This review article provides recent knowledge on Mycobacterium tuberculosis (Mtb) biofilm-immunity interactions, their importance in pulmonary TB pathology, and immune-based therapy targeting Mtb biofilms. Pellicle/biofilm formation in Mtb contributes to drug resistance, persistence, chronicity, surface attachment, transfer of resistance genes, and modulation of the immune response, including reduced complement activation, changes in the expression of antigenic proteins, enhanced activation of T-lymphocytes, elevated local IFNγ+ T cells, and strong antibody production. The combination of anti-TB drugs and anti-biofilm agents has recently become an effective strategy to improve TB treatment. Additionally, immune-targeted therapy and biofilm-based vaccines are crucial for TB prevention.

Immunological and Haematological Relevance of Helminths and Mycobacterium tuberculosis Complex Coinfection among Newly Diagnosed Pulmonary Tuberculosis Patients from Bobo-Dioulasso, Burkina Faso

The effect of helminthiasis on host immunity is a neglected area of research, particularly in tuberculosis (TB) infection. This study aimed to evaluate the effect of helminthiasis on immunological and haematological parameters in newly diagnosed TB patients in Bobo-Dioulasso. After all biological analyses, we formed three subpopulations: group 1 (n = 82), as control, were participants without helminthic or Mycobacterium tuberculosis complex infection (Mtb-/Helm-), group 2 (n = 73) were TB patients without helminthic infection (Mtb+/Helm-), and group 3 (n = 22) were TB patients with helminthic infection (Mtb+/Helm+). The proportion of helminth coinfection was 23.16% (22/95) in TB patients, and Schistosoma mansoni infection was found in 77.3% (17/22) cases of helminthiasis observed in this study. A low CD4 T cell count and a low CD4:CD8 ratio were significantly associated with concomitant infection with helminths and the Mtb complex (Mtb+/Helm+) compared to the other groups (p < 0.05). However, there was no statistically significant difference in the CD8 median among the three participating groups (p > 0.05). Lymphopenia, monocytosis, thrombocytosis, and hypochromic microcytic anaemia were the haematological defects observed in the Mtb+/Helm+ and Mtb+/Helm- patients. Exploring these types of immune-haematological biomarkers would be a valuable aid in diagnosing and a better follow-up and monitoring of the tuberculosis-helminthiasis coinfection.

A new nomogram based on ultrasound and clinical features for distinguishing epididymal tuberculosis and nontuberculous epididymitis

Using ultrasound findings and clinical characteristics, we constructed and validated a new nomogram for distinguishing epididymal tuberculosis from nontuberculous epididymitis, both of which share similar symptoms. We retrospectively examined data of patients with epididymal tuberculosis and nontuberculous epididymitis hospitalized between January 1, 2013, and March 31, 2023. Eligible patients were randomly assigned to derivation and validation cohorts (ratio, 7:3). We drew a nomogram to construct a diagnostic model through multivariate logistic regression and visualize the model. We used concordance index, calibration plots, and decision curve analysis to assess the discrimination, calibration, and clinical usefulness of the nomogram, respectively. In this study, 136 participants had epididymal tuberculosis and 79 had nontuberculous epididymitis. Five variables-C-reactive protein level, elevated scrotal skin temperature, nodular lesion, chronic infection, and scrotal skin ulceration-were significant and used to construct the nomogram. Concordance indices of the derivation and validation cohorts were 0.95 and 0.96, respectively (95% confidence intervals, 0.91-0.98 and 0.92-1.00, respectively). Decision curve analysis of this nomogram revealed that it helped differentiate epididymal tuberculosis from nontuberculous epididymitis. This nomogram may help clinicians distinguish between epididymal tuberculosis and nontuberculous epididymitis, thereby increasing diagnosis accuracy.

Disseminated Extrapulmonary Tuberculosis in an Immunocompetent Individual Without Pulmonary Involvement: A Case Report

Tuberculosis (TB) is a major global health burden, particularly in developing countries like India. While the most common presentation is pulmonary TB, extrapulmonary TB involving other body systems can also occur, posing diagnostic challenges. We present the case of a 24-year-old immunocompetent man from India who exhibited an uncommon and complex presentation of disseminated extrapulmonary TB. The patient had an asymptomatic brain cavitated lesion, likely tuberculoma, cervical lymphadenopathy, a small subcutaneous collection in the neck, a destructive lytic lesion in the sacrum, and a subcutaneous collection in the left gluteal/paraspinal region, all in the absence of pulmonary involvement. This combination of manifestations has not been previously reported. The presence of cervical lymphadenopathy and a slowly growing subcutaneous abscess were important clues that guided the diagnostic workup. Maintaining a high index of suspicion for TB, even in atypical presentations and immunocompetent individuals, is crucial, particularly in high-TB-burden regions. This case highlights the importance of considering disseminated extrapulmonary TB in the differential diagnosis, even in the absence of pulmonary involvement and typical risk factors. A high index of suspicion, a multidisciplinary approach, and a comprehensive diagnostic workup are essential for the timely recognition and management of these challenging conditions.

Otorhinolaryngologic Manifestations of Tuberculosis: A Comprehensive Review of Clinical and Diagnostic Challenges

Tuberculosis (TB) is a significant global health issue, predominantly affecting the lungs but also capable of involving the otorhinolaryngologic (ear, nose, and throat) regions. This comprehensive review explores the epidemiology, pathophysiology, clinical presentation, diagnostic challenges, management strategies, and public health implications of otorhinolaryngologic TB. The disease's diverse clinical manifestations, such as chronic ear discharge, nasal obstruction, and hoarseness, often mimic other common conditions, complicating diagnosis and delaying treatment. Diagnostic confirmation requires a combination of clinical assessment, laboratory tests, and imaging techniques, each with inherent limitations. Effective management necessitates a multidisciplinary approach, integrating medical and surgical interventions tailored to individual patient needs. Potential complications, including airway obstruction and hearing loss, highlight the importance of timely and appropriate treatment. The review underscores the critical role of public health measures in TB control. It also identifies emerging trends in diagnosis and treatment, emphasizing the need for ongoing research to improve patient outcomes and contribute to the global effort to control and eventually eradicate TB. This review aims to give healthcare providers a deeper understanding of otorhinolaryngologic TB, enhancing diagnostic and therapeutic approaches and improving patient care.

Histopathologic patterns of female genital tuberculosis with clinical correlation: a 10-year (2013-2022) retrospective cross-sectional study

OBJECTIVE

Underdiagnosis of female genital tuberculosis (FGTB) often leads to infertility. In this study, we aimed to determine the site and histopathologic patterns of FGTB and its correlation with clinical presentation and acid-fast bacilli (AFB) status.

METHODS

A retrospective cross-sectional study was conducted on 122 patients with a histopathological diagnosis of FGTB at the Department of Pathology, College of Health Sciences (CHS), Tikur Anbessa Specialized Hospital (TASH), Addis Ababa University (AAU), from January 1, 2013, to August 30, 2022.

RESULTS

Female genital tuberculosis was found in 0.94% of the gynecology specimens examined. The most common presentations were menstrual disturbance, abdominopelvic pain, and infertility. Among patients with FGTB, 4.6% exhibited misleading clinical and radiologic findings, leading to suspicion of malignancy and subsequent aggressive surgical management. The endometrium was the most frequently affected organ, followed by the fallopian tube, ovary, cervix, and vulva. In the majority of tuberculous endometritis cases (53.3%), histopathology revealed early-stage granulomas. Acid-fast bacilli were found in a significant proportion (42.6%) of FGTB tissues with TB histopathology. The ovary had the highest rate of AFB detection, followed by the fallopian tube, endometrium, and cervix.

CONCLUSION

Female genital tuberculosis should be considered in reproductive-age women presenting with menstrual irregularities, abdominopelvic pain, infertility, or an abdominopelvic mass. The endometrium is commonly affected, displaying early granulomas with low AFB positivity.

CRISPR/Cas9 gene editing: a novel strategy for fighting drug resistance in respiratory disorders

Respiratory disorders are among the conditions that affect the respiratory system. The healthcare sector faces challenges due to the emergence of drug resistance to prescribed medications for these illnesses. However, there is a technology called CRISPR/Cas9, which uses RNA to guide DNA targeting. This technology has revolutionized our ability to manipulate and visualize the genome, leading to advancements in research and treatment development. It can effectively reverse epigenetic alterations that contribute to drug resistance. Some studies focused on health have shown that targeting genes using CRISPR/Cas9 can be challenging when it comes to reducing drug resistance in patients with respiratory disorders. Nevertheless, it is important to acknowledge the limitations of this technology, such as off-target effects, immune system reactions to Cas9, and challenges associated with delivery methods. Despite these limitations, this review aims to provide knowledge about CRISPR/Cas9 genome editing tools and explore how they can help overcome resistance in patients with respiratory disorders. Additionally, this study discusses concerns related to applications of CRISPR and provides an overview of successful clinical trial studies.

Evaluation of Whole Genome Sequencing-Based Predictions of Antimicrobial Resistance to TB First Line Agents: A Lesson from 5 Years of Data

Phenotypic susceptibility testing of the Mycobacterium tuberculosis complex (MTBC) isolate requires culture growth, which can delay rapid detection of resistant cases. Whole genome sequencing (WGS) and data analysis pipelines can assist in predicting resistance to antimicrobials used in the treatment of tuberculosis (TB). This study compared phenotypic susceptibility testing results and WGS-based predictions of antimicrobial resistance (AMR) to four first-line antimicrobials-isoniazid, rifampin, ethambutol, and pyrazinamide-for MTBC isolates tested between the years 2018-2022. For this 5-year retrospective analysis, the WGS sensitivity for predicting resistance for isoniazid, rifampin, ethambutol, and pyrazinamide using Mykrobe was 86.7%, 100.0%, 100.0%, and 47.8%, respectively, and the specificity was 99.4%, 99.5%, 98.7%, and 99.9%, respectively. The predictive values improved slightly using Mykrobe corrections applied using TB Profiler, i.e., the WGS sensitivity for isoniazid, rifampin, ethambutol, and pyrazinamide was 92.31%, 100%, 100%, and 57.78%, respectively, and the specificity was 99.63%. 99.45%, 98.93%, and 99.93%, respectively. The utilization of WGS-based testing addresses concerns regarding test turnaround time and enables analysis for MTBC member identification, antimicrobial resistance prediction, detection of mixed cultures, and strain genotyping, all through a single laboratory test. WGS enables rapid resistance detection compared to traditional phenotypic susceptibility testing methods using the WHO TB mutation catalog, providing an insight into lesser-known mutations, which should be added to prediction databases as high-confidence mutations are recognized. The WGS-based methods can support TB elimination efforts in Canada and globally by ensuring the early start of appropriate treatment, rapidly limiting the spread of TB outbreaks.

New synergistic benzoquinone scaffolds as inhibitors of mycobacterial cytochrome bc1 complex to treat multi-drug resistant tuberculosis

Through a comprehensive molecular docking study, a unique series of naphthoquinones clubbed azetidinone scaffolds was arrived with promising binding affinity to Mycobacterial Cytbc1 complex, a drug target chosen to kill multi-drug resistant Mycobacterium tuberculosis (MDR-Mtb). Five compounds from series-2, 2a, 2c, 2g, 2h, and 2j, showcased significant in vitro anti-tubercular activities against Mtb H37Rv and MDR clinical isolates. Further, synergistic studies of these compounds in combination with INH and RIF revealed a potent bactericidal effect of compound 2a at concentration of 0.39 μg/mL, and remaining (2c, 2g, 2h, and 2j) at 0.78 μg/mL. Exploration into the mechanism study through chemo-stress assay and proteome profiling uncovered the down-regulation of key proteins of electron-transport chain and Cytbc1 inhibition pathway. Metabolomics corroborated these proteome findings, and heightened further understanding of the underlying mechanism. Notably, in vitro and in vivo animal toxicity studies demonstrated minimal toxicity, thus underscoring the potential of these compounds as promising anti-TB agents in combination with RIF and INH. These active compounds adhered to Lipinski's Rule of Five, indicating the suitability of these compounds for drug development. Particular significance of molecules NQ02, 2a, and 2h, which have been patented (Published 202141033473).

Long-term exposure to ambient fine particulate matter (PM2.5) and attributable pulmonary tuberculosis notifications in Ningxia Hui Autonomous Region, China: a health impact assessment

INTRODUCTION

Long-term exposure to fine particulate matter (≤2.5 µm (PM2.5)) has been associated with pulmonary tuberculosis (TB) notifications or incidence in recent publications. Studies quantifying the relative contribution of long-term PM2.5 on TB notifications have not been documented. We sought to perform a health impact assessment to estimate the PM2.5- attributable TB notifications during 2007-2017 in Ningxia Hui Autonomous Region (NHAR), China.

METHODS

PM2.5 attributable TB notifications were estimated at township level (n=358), stratified by age group and summed across NHAR. PM2.5-associated TB-notifications were estimated for total and anthropogenic PM2.5 mass and expressed as population attributable fractions (PAFs). The main analysis used effect and uncertainty estimates from our previous study in NHAR, defining a counterfactual of the lowest annual PM2.5 (30 µg/m3) level, above which we assumed excess TB notifications. Sensitivity analyses included counterfactuals based on the 5th (31 µg/m3) and 25th percentiles (38 µg/m3), and substituting effect estimates from a recent meta-analysis. We estimated the influence of PM2.5 concentrations, population growth and baseline TB-notification rates on PM2.5 attributable TB notifications.

RESULTS

Over 2007-2017, annual PM2.5 had an estimated average PAF of 31.2% (95% CI 22.4% to 38.7%) of TB notifications while the anthropogenic PAF was 12.2% (95% CI 9.2% to 14.5%). With 31 and 38 µg/m3 as counterfactuals, the PAFs were 29.2% (95% CI 20.9% to 36.3%) and 15.4% (95% CI 10.9% to 19.6%), respectively. PAF estimates under other assumptions ranged between 6.5% (95% CI 2.9% to 9.6%) and 13.7% (95% CI 6.2% to 19.9%) for total PM2.5, and 2.6% (95% CI 1.2% to 3.8%) to 5.8% (95% CI 2.7% to 8.2%) for anthropogenic PM2.5. Relative to 2007, overall changes in PM2.5 attributable TB notifications were due to reduced TB-notification rates (-23.8%), followed by decreasing PM2.5 (-6.2%), and population growth (+4.9%).

CONCLUSION

We have demonstrated how the potential impact of historical or hypothetical air pollution reduction scenarios on TB notifications can be estimated, using public domain, PM2.5 and population data. The method may be transferrable to other settings where comparable TB-notification data are available.

Integrative analysis discovers Imidurea as dual multitargeted inhibitor of CD69, CD40, SHP2, lysozyme, GATA3, cCBL, and S-cysteinase from SARS-CoV-2 and M. tuberculosis

Two of the deadliest infectious diseases, COVID-19 and tuberculosis (TB), have combined to establish a worldwide pandemic, wreaking havoc on economies and claiming countless lives. The optimised, multitargeted medications may diminish resistance and counter them together. Based on computational expression studies, 183 genes were co-expressed in COVID-19 and TB blood samples. We used the multisampling screening algorithms on the top ten co-expressed genes (CD40, SHP2, Lysozyme, GATA3, cCBL, SIVmac239 Nef, CD69, S-adenosylhomocysteinase, Chemokine Receptor-7, and Membrane Protein). Imidurea is a multitargeted inhibitor for COVID-19 and TB, as confirmed by extensive screening and post-filtering utilising MM\GBSA algorithms. Imidurea has shown docking and MM\GBSA scores of -8.21 to -4.75 Kcal/mol and -64.16 to -29.38 Kcal/mol, respectively. The DFT, pharmacokinetics, and interaction patterns suggest that Imidurea may be a drug candidate, and all ten complexes were tested for stability and bond strength using 100 ns for all MD atoms. The modelling findings showed the complex's repurposing potential, with a cumulative deviation and fluctuation of <2 Å and significant intermolecular interaction, which validated the possibilities. Finally, an inhibition test was performed to confirm our in-silico findings on SARS-CoV-2 Delta variant infection, which was suppressed by adding imidurea to Vero E6 cells after infection.

Estimation of State and district-specific disability adjusted life years (DALYs) due to tuberculosis for Kerala, India, 2017-2020

Background & objectives Tuberculosis (TB) control programmes routinely use indicators like incidence and mortality. A single indicator, like disability-adjusted life years (DALYs) may yield a more comprehensive burden estimate. This study attempted to estimate the state and district-specific TB burden in Kerala. Methods The sole data source for these computations was the Ni-kshay, notification register for 2017 to 2020, Kerala. Age of the patient and outcome are available in the register. Notified incident TB/1000, the median age of onset of TB, case fatality due to TB, and the median age of mortality were computed using SPSS software. DALYs was calculated using the DALYs package of the R program, using these input parameters. Disability weight was taken as 0.333. The absolute and relative DALY/100,000 population was estimated along with the 95% confidence interval (CI). Results Relative DALYs was highest in 2019 at 1482/100,000 and lowest at 1124/100,000 in the year 2020 during the period 2017 to 2020. The districts, which had the highest incidence were not the same as those with the highest DALYs. Ernakulam and Thrissur districts had the highest burden and Idukki had the least burden. Interpretation & conclusions DALYs estimates for Kerala showed an increasing trend before 2020, which could be due to the increased efforts to detect TB as part of the elimination drive. The study points towards the need for using DALYs as a measure for prioritizing districts for resource allocation.

Sex-based differences in TB treatment compliance: A mediating factor for sputum conversion among newly diagnosed pulmonary TB patients in Chennai, South India

Background

Tuberculosis (TB) remains a global health concern, particularly in India, which carries a significant portion of the global burden. The role of sex as a determinant of health is increasingly recognized, impacting various aspects of TB, including treatment compliance and outcomes. This study aimed to determine the mediating role of treatment compliance in the relationship between sex and sputum conversion in newly diagnosed pulmonary TB patients in Chennai, South India.

Methods

We conducted a retrospective cohort study among patients newly diagnosed for TB at ESIC Medical College & PGIMSR between April 2020 and April 2022. A causal mediation analysis was performed to identify the direct and indirect effects of sex on sputum conversion via the mediator, treatment compliance. We employed logistic regression models and the "paramed" package for the analysis, with bootstrapping technique for examining the significance of indirect and direct effects.

Results

The Marginal Total Effect (MTE) suggested that females were more likely to have sputum positivity compared to males (OR: 6.77; p = 0.003). Direct effect of being female increased the odds of sputum positivity at the end of the intensive phase (OR: 3.42; p = 0.03). The indirect effect of being female via treatment compliance significantly increased the odds of sputum positivity at the end of the intensive phase (OR: 1.98; p = 0.03).

Conclusion

The study provides evidence that treatment compliance significantly mediates the relationship between sex and sputum conversion in TB patients, highlighting the necessity to consider gendered dimensions of health in TB control strategies.

Optimisation of analytical methods for tuberculosis drug detection in wastewater: A multinational study

Wastewater-based epidemiology (WBE) is a robust tool for disease surveillance and monitoring of pharmaceutical consumption. However, monitoring tuberculosis (TB) drug consumption faces challenges due to limited data availability. This study aimed to optimise methods for detecting TB drugs in treated and untreated wastewater from four African countries: South Africa, Nigeria, Kenya, and Cameroon. The limit of detection (LOD) for these drugs ranged from a minimum of 2.20 (±1.02) for rifampicin to a maximum of 2.95 (±0.79) for pyrazinamide. A parallel trend was observed concerning the limit of quantification (LOQ), with rifampicin reporting the lowest average LOQ of 7.33 (±3.44) and pyrazinamide showing the highest average LOQ of 9.81 (±2.64). The variance in LOD and LOQ values could be attributed to factors such as drug polarity. Erythromycin and rifampicin exhibited moderately polar LogP values (2.6 and 2.95), indicating higher lipid affinity and lower water affinity. Conversely, ethambutol, pyrazinamide, and isoniazid displayed polar LogP values (-0.059, -0.6, and -0.7), suggesting lower lipid affinity and greater water affinity. The study revealed that storing wastewater samples for up to 5 days did not result in significant drug concentration loss, with concentration reduction remaining below 1 log throughout the storage period. Application of the optimised method for drug detection and quantification in both treated and untreated wastewater unveiled varied results. Detection frequencies varied among drugs, with ethambutol consistently most detected, while pyrazinamide and isoniazid were least detected in wastewater from only two countries. Most untreated wastewater samples had undetectable drug concentrations, ranging from 1.21 ng/mL for erythromycin to 54.61 ng/mL for isoniazid. This variability may suggest differences in drug consumption within connected communities. In treated wastewater samples, detectable drug concentrations ranged from 1.27 ng/mL for isoniazid to 10.20 ng/mL for ethambutol. Wastewater treatment plants exhibited variable removal efficiencies for different drugs, emphasising the need for further optimisation. Detecting these drugs in treated wastewater suggests potential surface water contamination and subsequent risks of human exposure, underscoring continued research's importance.

Fractal fractional model for tuberculosis: existence and numerical solutions

This paper deals with the mathematical analysis of Tuberculosis by using fractal fractional operator. Mycobacterium TB is the bacteria that causes tuberculosis. This airborne illness mostly impacts the lungs but may extend to other body organs. When the infected individual coughs, sneezes or speaks, the bacterium gets released into the air and travels from one person to another. Five classes have been formulated to study the dynamics of this disease: susceptible class, infected of DS, infected of MDR, isolated class, and recovered class. To study the suggested fractal fractional model's wellposedness associated with existence results, and boundedness of solutions. Further, the invariant region of the considered model, positive solutions, equilibrium point, and reproduction number. One would typically employ a fractional calculus approach to obtain numerical solutions for the fractional order Tuberculosis model using the Adams-Bashforth-Moulton method. The fractional order derivatives in the model can be approximated using appropriate numerical schemes designed for fractional order differential equations.

Incomplete tuberculosis reporting and registration to the surveillance system in southwestern China of Yunnan Province: an inventory survey

BACKGROUND

The real-world tuberculosis (TB) surveillance data was generally incomplete due to underreporting and underdiagnosis. The inventory study aimed to assess and quantify the incompletion of surveillance systems in southwestern China.

METHODS

The inventory study was conducted at randomly selected health facilities (HF) by multi-stage stratified cluster sampling. The participants were included in the period between August of 2020 in province-level and prefecture-level HF, and in the period between June to December of 2020 in other categories of HF respectively. The clinical committee confirmed medical records were matched to the National Notifiable Disease Reporting System (NNDRS) and the Tuberculosis Information Management System (TBIMS) to define the report and register status. The underreporting and under-register rates were evaluated based on the matched data, and factors associated with underreport and under-register were assessed by the 2-level logistic multilevel model (MLM).

RESULTS

We enrolled 7,749 confirmed TB cases in the analysis. The province representative overall underreport rate to NNDRS was 1.6% (95% confidence interval, 95% CI, 1.3 - 1.9), and the overall under-register rate to TBIMS was 9.6% (95% CI, 8.9-10.3). The various underreport and under-register rates were displayed in different stratifications of background TB disease burden, HF level, HF category, and data source of the medical record in HF among prefectures of the province. The intraclass correlation coefficient (ICC) was 0.57 for the underreporting null MLM, indicating the facility-level cluster effect contributes a great share of variation in total variance. The two-level logistic MLM showed the data source of medical records in HF, diagnostic category of TB, and type of TB were associated with underreporting by adjusting other factors (p < 0.05). The ICC for under-register was 0.42, and the HF level, HF category, data source of medical records in HF, diagnostic category of TB and type of TB were associated with under-register by adjusting other factors (p < 0.05).

CONCLUSION

The inventory study depicted incomplete TB reporting and registering to NNDRS and TBIMS in southwestern China. It implied that surveillance quality improvement would help advance the TB prevention and control strategy.