COVID-19 and Tuberculosis

Structure-activity relationship mediated molecular insights of DprE1 inhibitors: A Comprehensive Review

Emerging threats of multi-drug resistant (MDR), extensively drug-resistant (XDR), and totally drug-resistant (TDR) tuberculosis led to the discovery of a novel target which was entitled Decaprenylphosphoryl-β-D-ribose 2'-epimerase (DprE1) enzyme. DprE1 is composed of two isoforms, decaprenylphosphoryl-β-D-ribose oxidase (DprE1) and decaprenylphosphoryl-D-2-keto erythro pentose reductase (DprE2). The enzymes, DprE1 and DprE2, regulate the two-step epimerization process to form DPA (Decaprenylphosphoryl arabinose) from DPX (Decaprenylphosphoryl-D-ribose), which is the sole precursor in the cell wall synthesis of arabinogalactan (AG) and lipoarabinomannan (LAM). Target-based and whole-cell-based screening played an imperative role in the identification of the druggable target, DprE1, whereas the druggability of the DprE2 enzyme is not proved yet. To date, diverse scaffolds of heterocyclic and aromatic ring systems have been reported as DprE1 inhibitors based on their interaction mode, i.e. covalent, and non-covalent inhibitors. This review describes the structure-activity relationship (SAR) of reported covalent and non-covalent inhibitors to enlighten about the crucial pharmacophoric features required for DprE1 inhibition, along with in-silico studies which characterize the amino acid residues responsible for covalent and non-covalent interactions.Communicated by Ramaswamy H. Sarma.

A multimodal integration pipeline for accurate diagnosis, pathogen identification, and prognosis prediction of pulmonary infections

Pulmonary infections pose formidable challenges in clinical settings with high mortality rates across all age groups worldwide. Accurate diagnosis and early intervention are crucial to improve patient outcomes. Artificial intelligence (AI) has the capability to mine imaging features specific to different pathogens and fuse multimodal features to reach a synergistic diagnosis, enabling more precise investigation and individualized clinical management. In this study, we successfully developed a multimodal integration (MMI) pipeline to differentiate among bacterial, fungal, and viral pneumonia and pulmonary tuberculosis based on a real-world dataset of 24,107 patients. The area under the curve (AUC) of the MMI system comprising clinical text and computed tomography (CT) image scans yielded 0.910 (95% confidence interval [CI]: 0.904-0.916) and 0.887 (95% CI: 0.867-0.909) in the internal and external testing datasets respectively, which were comparable to those of experienced physicians. Furthermore, the MMI system was utilized to rapidly differentiate between viral subtypes with a mean AUC of 0.822 (95% CI: 0.805-0.837) and bacterial subtypes with a mean AUC of 0.803 (95% CI: 0.775-0.830). Here, the MMI system harbors the potential to guide tailored medication recommendations, thus mitigating the risk of antibiotic misuse. Additionally, the integration of multimodal factors in the AI-driven system also provided an evident advantage in predicting risks of developing critical illness, contributing to more informed clinical decision-making. To revolutionize medical care, embracing multimodal AI tools in pulmonary infections will pave the way to further facilitate early intervention and precise management in the foreseeable future.

Tuberculosis and COVID-19 in the elderly: factors driving a higher burden of disease

Mycobacterium tuberculosis (M.tb) and SARS-CoV-2 are both infections that can lead to severe disease in the lower lung. However, these two infections are caused by very different pathogens (Mycobacterium vs. virus), they have different mechanisms of pathogenesis and immune response, and differ in how long the infection lasts. Despite the differences, SARS-CoV-2 and M.tb share a common feature, which is also frequently observed in other respiratory infections: the burden of disease in the elderly is greater. Here, we discuss possible reasons for the higher burden in older adults, including the effect of co-morbidities, deterioration of the lung environment, auto-immunity, and a reduced antibody response. While the answer is likely to be multifactorial, understanding the main drivers across different infections may allow us to design broader interventions that increase the health-span of older people.

Reactivation of Tuberculosis and COVID-19 in Pediatric Patients

Objective Mycobacterium tuberculosis is an immobile aerobic bacillus that causes tuberculosis (TB) disease. We aimed to evaluate the association between coronavirus disease 2019 (COVID-19), COVID-19-related drugs, TB reactivation, and TB incidence during the pandemic.

Methods Eight patients who were diagnosed as having TB in Meram Medical Faculty, Necmettin Erbakan University between March 1, 2020, and December 31, 2021, at the beginning of the pandemic, were enrolled in this study. The presence of COVID-19 infection was confirmed using COVID-19 antibody tests and the patients' COVID-19 history. We evaluated the demographic data, laboratory findings, imaging tests, and pathology results of all patients.

Results We checked all our patients with TB using COVID-19 antibodies (immunoglobulin [Ig]G + IgM) or polymerase chain reaction. Seven of the eight patients were female (87.5%). The median age was 16 years. Family screening of all patients was negative, and they had bacillus Calmette–Guérin vaccine scars. Two patients had chronic diseases. One was diagnosed as having primary ciliary dyskinesia in our department (patient no. 8) and the second was under follow-up by the rheumatology department with a diagnosis of juvenile idiopathic rheumatoid arthritis.

Conclusion There has been an increase in the incidence of TB in children, especially in adolescents, during the pandemic period. This may be due to the pathogenic structure of the COVID-19 virus with an unknown mechanism. In addition, lifestyle changes and changes in health care policies during the pandemic may have caused this. Further research should be performed on this topic.

3- to 24-month Follow-up on COVID-19 with Pulmonary Tuberculosis Survivors after Discharge: Results from a Prospective, Multicenter Study

OBJECTIVE

Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are major public health and social issues worldwide. The long-term follow-up of COVID-19 with pulmonary TB (PTB) survivors after discharge is unclear. This study aimed to comprehensively describe clinical outcomes, including sequela and recurrence at 3, 12, and 24 months after discharge, among COVID-19 with PTB survivors.

METHODS

From January 22, 2020 to May 6, 2022, with a follow-up by August 26, 2022, a prospective, multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13 hospitals from four provinces in China. Clinical outcomes, including sequela, recurrence of COVID-19, and PTB survivors, were collected via telephone and face-to-face interviews at 3, 12, and 24 months after discharge.

RESULTS

Thirty-two COVID-19 with PTB survivors were included. The median age was 52 (45, 59) years, and 23 (71.9%) were men. Among them, nearly two-thirds (62.5%) of the survivors were moderate, three (9.4%) were severe, and more than half (59.4%) had at least one comorbidity (PTB excluded). The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6% at 3 months to 15.8% at 24 months, with anxiety having a higher proportion over a follow-up. Cough and amnesia recovered at the 12-month follow-up, while anxiety, fatigue, and trouble sleeping remained after 24 months. Additionally, one (3.1%) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up period.

CONCLUSION

The proportion of long symptoms in COVID-19 with PTB survivors decreased over time, while nearly one in six still experience persistent symptoms with a higher proportion of anxiety. The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.

Biases in COVID-19 Case and Death Definitions: Potential Causes and Consequences

This paper investigates three controversies involving potential causes and consequences of information bias in case and death definitions during the coronavirus disease (COVID-19) pandemic. First, evidence suggests China's surveillance data were biased and misinterpreted by the World Health Organization (WHO), prompting the WHO to advise nations to copy China's lockdowns. China appeared to use narrow diagnostic definitions that undercounted cases and deaths. Second, novel genomic data disseminated during the pandemic without adequate guidance from rigorous epidemiologic studies biased infection control policies in many countries. A novel genomic sequence of a virus is insufficient to declare new cases of a novel disease. Third, media reports of COVID-19 surveillance data in many nations appeared to be biased. Broadened surveillance definitions captured additional information, but unadjusted surveillance data disseminated to the public are not true cases and deaths. Recommendations include clarification of the proper use of diagnostic and surveillance case and death definitions to avoid information bias.

Characteristics of the Severe Acute Respiratory Syndrome Coronavirus 2 Omicron BA.2 Subvariant in Jilin, China from March to May 2022

Background and Objectives

In the midst of the pandemic, new coronavirus mutants continue to emerge; the most relevant variant worldwide is omicron. Here, patients who recovered from the disease living in Jilin Province were analyzed to identify factors affecting the severity of omicron infection and to provide insights into its spread and early indication.

Methods

In this study, 311 cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were divided into two groups. Data on the patients' demographic characteristics and laboratory tests, including platelet count (PLT), neutrophil count (NE), C-reactive protein (CRP), serum creatinine (SCR), and neutrophil-to-lymphocyte ratio (NLR), were collected. The biomarkers for moderate and severe coronavirus disease 2019 (COVID-19) and factors affecting the incubation period and time to subsequent negative nucleic acid amplification test (NAAT) were also investigated.

Results

Age, gender, vaccination, hypertension, stroke, chronic obstructive pulmonary disease (COPD)/chronic bronchitis/asthma, and some laboratory tests were statistically different between the two groups. In the receiver operating characteristic (ROC) analysis, PLT and CRP had higher area under the ROC curve values. In the multivariate analysis, age, hypertension, COPD/chronic bronchitis/asthma, and CRP were correlated with moderate and severe COVID-19. Moreover, age was correlated with longer incubation. In the Kaplan-Meier curve analysis, gender (male), CRP, and NLR were associated with longer time to subsequent negative NAAT.

Conclusions

Older patients with hypertension and lung diseases were likely to have moderate or severe COVID-19, and younger patients might have a shorter incubation. A male patient with high CRP and NLR levels might take more time to turn back negative in the NAAT.

Clinical characteristics of COVID-19 in patients with tuberculosis and factors associated with the disease severity

BACKGROUND

Data on patients with COVID-19 who have pulmonary tuberculosis (TB) are limited. In this study, we compared the clinical characteristics of patients with COVID-19/TB and patients with COVID-19 only. In addition, we analyzed the links between the severity of COVID-19 disease and the clinical characteristics of patients with COVID-19/TB.

METHODS

We conducted a retrospective, anonymized, cross-sectional study of 111 patients who met inclusion criteria for analysis (75 patients with COVID-19/TB and 36 patients with COVID-19).

RESULTS

Patients in both groups (COVID-19/TB vs COVID-19) mainly suffered from fever (72.0% vs 100%, p < 0.001), fatigue (76.0% vs 94.4%, p  =  0.018), chest pain (72.0% vs 36.1%, p < 0.001), followed by cough (60.0% vs 97.2%, p < 0.001) and dyspnea (44.0% vs 63.9%, p  =  0.05). In group COVID-19/TB the most frequently reported co-morbidities were chronic liver disease (17 [22.7%]), cardiovascular diseases (25 [33.3%]), and diseases of the nervous system (13 [17.3%]). Female gender, fever, dyspnea, pulmonary bilateral TB lesion, and three or more co-morbidities have a statistically significant positive effect on the severity of the disease among patients with COVID-19/TB.

CONCLUSION

It is important to perform rapid molecular testing and computed tomography to correctly distinguish COVID-19 and TB because of the similar clinical characteristics of both diseases. Bilateral pulmonary TB lesion and co-morbidity should be considered risk factors for severe COVID-19.

Post COVID-19 sequelae of the respiratory system. A single center experience reporting the compromise of the airway, alveolar and vascular components

The long-term sequelae of COVID-19 have now become more common and appreciable. The SARS-CoV-2 virus can cause a variety of infectious and non-infectious pulmonary complications. The purpose of this study is to raise awareness about post-COVID-19 pulmonary sequelae, both infectious and non-infectious, in this geographical area. A retrospective study was conducted from July 1st 2020 to December 20th 2020. A total of 1200 patients were evaluated, with 83 suffering from post-COVID-19 pulmonary complications. The patients' mean age was 62 years (IQR 55-69), with 63 (75.9%) being male. The most common co-morbid illnesses were hypertension (49, 59%) and diabetes (45, 54.2%). The majority of them (37, 44.6%) had severe COVID-19, followed by critical COVID-19 (33, 39.8%). There was no statistically significant difference in recurrence of respiratory symptoms or duration of current illness between non-severe, severe, and critical COVID-19 patients. Non-infectious complications were observed in the majority of patients (n=76, 91.5%), including organizing pneumonia/ground glass opacities in 71 (88%) patients, fibrosis in 44 (55%), pulmonary embolism in 10 (12.5%), pneumomediastinum in 6 (7.4%) and pneumothorax in 7 (8.6%). Infective complications (25, 30.1%) included aspergillus infection in 10 (12.0%) and bacterial infection in 5 (8.47%), with more gram-negative infections and one patient developing Mycobacterium tuberculosis. Post COVID-19 mortality was 11 (13.3%). The long-term pulmonary sequelae of COVID-19 are not rare. Cryptogenic organizing pneumonia, ground glass opacities, and fibrosis were common post-COVID-19 sequelae in our patients. This necessitates frequent close monitoring of these patients in order to initiate early appropriate management and prevent further morbidity and eventual mortality.

A tale of three in symbiosis: TB-COVID-19-Bordetella coinfection

Coinfections/mixed infections are common in the respiratory tract. Many times existing organisms have similar risk factors and clinical features that make the diagnosis difficult. Coronavirus diagnosed in 2019 (COVID-19) and tuberculosis (TB) are two such diseases. Patients with TB have lower cellular immunity and impaired pulmonary function. In such environment, atypical organisms, can infect and make the outcome unfavorable. A 21-year-old malnourished (body mass index- 15 kg/m²) girl presented with fever and cough for 10 days. Sputum for Cartridge Based Nucleic Acid Amplification Test demonstrated Mycobacterium tuberculosis with no rifampin resistance. Fever persisted (100-101°F) and saturation was dropping even after 10 days of antitubercular treatment. A repeat reverse transcription-polymerase chain reaction was done and was positive. In view of persistent symptoms after 20 days, bronchoscopy was done, and cultures showed Bordetella bronchiseptica. Fever and symptoms resolved completely after initiation of the sensitive drug. Diagnostic delay in coinfections can lead to increased morbidity and mortality.

Identification and validation of a T-cell-related MIR600HG/hsa-mir-21-5p competing endogenous RNA network in tuberculosis activation based on integrated bioinformatics approaches

Background: T cells play critical roles in the progression of tuberculosis (TB); however, knowledge regarding these molecular mechanisms remains inadequate. This study constructed a critical ceRNA network was constructed to identify the potentially important role of TB activation via T-cell regulation.

Methods: We performed integrated bioinformatics analysis in a randomly selected training set from the GSE37250 dataset. After estimating the abundance of 18 types of T cells using ImmuCellAI, critical T-cell subsets were determined by their diagnostic accuracy in distinguishing active from latent TB. We then identified the critical genes associated with T-cell subsets in TB activation through co-expression analysis and PPI network prediction. Then, the ceRNA network was constructed based on RNA complementarity detection on the DIANA-LncBase and mirDIP platform. The gene biomarkers included in the ceRNA network were lncRNA, miRNA, and targeting mRNA. We then applied an elastic net regression model to develop a diagnostic classifier to assess the significance of the gene biomarkers in clinical applications. Internal and external validations were performed to assess the repeatability and generalizability.

Results: We identified CD4⁺ T, Tr1, nTreg, iTreg, and Tfh as T cells critical for TB activation. A ceRNA network mediated by the MIR600HG/hsa-mir-21-5p axis was constructed, in which the significant gene cluster regulated the critical T subsets in TB activation. MIR600HG, hsa-mir-21-5p, and five targeting mRNAs (BCL11B, ETS1, EPHA4, KLF12, and KMT2A) were identified as gene biomarkers. The elastic net diagnostic classifier accurately distinguished active TB from latent. The validation analysis confirmed that our findings had high generalizability in different host background cases.

Conclusion: The findings of this study provided novel insight into the underlying mechanisms of TB activation and identifying prospective biomarkers for clinical applications.

Ferroptosis: A mixed blessing for infectious diseases

To date, it has been confirmed that the occurrence and development of infectious diseases are tightly associated with regulatory cell death processes, such as apoptosis, autophagy, and necroptosis. Ferroptosis, as a newly discovered form of regulatory cell death characterized by iron-dependent lipid peroxidation, is not only closely associated with tumor progression, but is also found to be tightly related to the regulation of infectious diseases, such as Tuberculosis, Cryptococcal meningitis, Malaria and COVID-2019. The emerging critical roles of ferroptosis that has been found in infectious disease highlight ferroptosis as a potential therapeutic target in this field, which is therefore widely expected to be developed into new therapy strategy against infectious diseases. Here, we summarized the underlying mechanisms of ferroptosis and highlighted the intersections between host immunity and ferroptosis. Moreover, we illuminated the roles of ferroptosis in the occurrence and progression of different infectious diseases, which might provide some unique inspiration and thought-provoking perspectives for the future research of these infectious diseases, especially for the development of ferroptosis-based therapy strategy against infectious diseases.

The link between ferroptosis and airway inflammatory diseases: A novel target for treatment

Ferroptosis is an iron-dependent mode of cell death characterized by intracellular lipid peroxide accumulation and a redox reaction imbalance. Compared with other modes of cell death, ferroptosis has specific biological and morphological features. The iron-dependent lipid peroxidation accumulation is manifested explicitly in the abnormal metabolism of intracellular lipid oxides catalyzed by excessive iron ions with the production of many reactive oxygen species and over-oxidization of polyunsaturated fatty acids. Recent studies have shown that various diseases, which include intestinal diseases and cancer, are associated with ferroptosis, but few studies are related to airway inflammatory diseases. This review provides a comprehensive analysis of the primary damage mechanisms of ferroptosis and summarizes the relationship between ferroptosis and airway inflammatory diseases. In addition to common acute and chronic airway inflammatory diseases, we also focus on the progress of research on COVID-19 in relation to ferroptosis. New therapeutic approaches and current issues to be addressed in the treatment of inflammatory airway diseases using ferroptosis are further proposed.

Clinical Features and Treatment Outcome of Coronavirus and Tuberculosis Co-Infected Patients: A Systematic Review of Case Reports

Background

Coronavirus disease 19 (COVID-19) and Mycobacterium tuberculosis (MTB) are among the top ongoing health crises globally. Both cause respiratory diseases, and the clinical presentations are similar. There is no summarized information about cases of COVID-19 patients with concomitant TB infection from different settings. Therefore this review aimed to summerize the clinical features and treatment outcomes of coronavirus and tuberculosis co-infected patients.

Methods

An electronic search of case reports published between 2020 and 2021 was conducted using Google Scholar, PubMed, Scopus, and ScienceDirect. From eligible reports, data were collected for the selected variables. We analyzed the collected information using SPSS version 27 software. Descriptive statistics were computed for the selected variables.

Results

A total of 83 patient histories were collected from 47 case reports. The majority (80%) of the cases were reported for male patients. The mean age was 42.6 years (3 months to 84 years, SD=17.3). Fever was reported in 80% of cases, followed by cough (73.3%) and hypotension (37.1%). Blood cell parameters revealed lymphopenia (52%), lower hemoglobin (30%), elevated CRP (70%), elevated ferritin (28%), and increased D-dimer (23.4%). Treatment outcome is significantly associated with blood cell count results (p-0.044) and a rise in blood inflammatory cytokines(p-0.041). The mean days for viral clearance or negative PCR was 23 days (Range 5-82 days) and the overall mean duration of hospitalization was 27 days. The total death rate was 22.4%. Recovery was reported for 76.6% of cases. Survival status (p-0.613) and disease severity (p-0.68) are not significantly associated with the gender of the participants.

Conclusion

An alteration in blood cell parameters is associated with an unfavorable treatment outcome. There is a higher death rate in COVID-19/TB co-infection. The death is associated with older age, smoking or smoking history, drug abuse, and co-morbidity of non-communicable diseases. Conversely, there is a lower death rate in HIV patients.

Global prevalence, treatment and outcome of tuberculosis and COVID-19 coinfection: a systematic review and meta-analysis (from November 2019 to March 2021)

INTRODUCTION

The COVID-19 outbreak poses a significant threat to the patients with tuberculosis (TB). TB and COVID-19 (TB-COVID) coinfection means the disease caused by both Mycobacterium tuberculosis and SARS-CoV-2 infection. Currently, the prevalence status, treatment and outcomes of the coinfection are poorly characterised. We aimed to systematically review the evidence on this topic and provide comprehensive information to guide the control and treatment of TB-COVID coinfection.

METHODS

An extensive screening was conducted using six electronic databases to search eligible studies from 1 November 2019 to 19 March 2021. Prevalence rate, treatment and outcomes of TB-COVID coinfection were extracted. Random-effects models were used to calculate mean fatality rates of coinfection with 95% CIs. The risks of bias were assessed with the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Study Reporting Prevalence Data and JBI Critical Appraisal Checklist for Case Report. A meta-analysis was conducted for subgroups on in-hospital fatality rate.

RESULTS

Forty-two studies were included into the analysis (35 case reports and 7 retrospective cohort studies). Nineteen countries reported coinfected patients, including high and low TB prevalence countries. The only study revealing prevalence rate came from West Cape Province, South Africa (people aged above 20 years, 0.04% until 1 June 2020 and 0.06% until 9 June 2020). The treatment regimens for coinfected patients were highly heterogeneous. The mean overall and in-hospital fatality rates of coinfection were 13.9% (95% CI: 1.6% to 26.2%) and 17.5% (95% CI: 8.9% to 26.0%). The mean in-hospital fatality rates for high-income countries (Italy and Argentina) and low/middle-income countries (LMICs) (India, Philippines, South Africa) were 6.5% (95% CI: -0.8% to ~13.9%) and 22.5% (95% CI: 19.0% to ~26.0%).

CONCLUSION

TB-COVID coinfection is common globally, and the coinfected patients suffer from higher fatality risk than patients with normal COVID-19. Outcomes shared significant differences between high-income countries and LMICs.

PROSPERO REGISTRATION NUMBER

CRD42021253660.

Mycobacterium tuberculosis and SARS-CoV-2 Coinfections: A Review

BACKGROUND

Tuberculosis (TB) is still one of the most important causes of death worldwide. The lack of timely attention on TB diagnosis and treatment during the coronavirus disease 2019 (COVID-19) pandemic is a potential threat to health issues and may have severe consequences for patients and health systems. There is not much information on the management of TB during this period. Here, we reviewed the current literature to evaluate the rate of Mycobacterium tuberculosis and severe acute respiratory syndrome coronavirus 2 coinfections and interactions between these infectious agents.

METHODS

Several databases, including Web of Science, Scopus, and MEDLINE (via PubMed), were searched for original articles addressing TB and COVID-19 diseases published from December 2019 to April 2021.

RESULTS

Of 3,879 articles, 57 articles were included in this study, and among 106,033 patients affected by COVID-19, 891 also had TB. Overall, investigators found a consistent increase in C-reactive protein, D-dimer (especially in patients with severe clinical manifestation), erythrocyte sedimentation rate, lactate dehydrogenase, alanine aminotransferase, and a reduction of lymphocytes. The respiratory symptoms of TB/COVID-19 patients were similar to those of TB patients, but the risk of developing pulmonary TB increased in COVID-19 patients. Also, the mortality rate in TB/COVID-19 patients was higher than that in patients affected only by COVID-19 or TB.

CONCLUSION

Some reports indicated worsening respiratory symptoms and even activation of latent TB after COVID-19 or vice versa. It seems that both active and previously treated TB constituted a risk factor for COVID-19 in terms of severity and mortality, regardless of other underlying diseases and patient status. Health systems should not neglect TB during this era of the ongoing COVID-19 pandemic by setting up appropriate diagnostic and clinical management algorithms.

COVID-19 Pandemic Disruption on the Management of Tuberculosis Treatment in Indonesia

The current coronavirus disease 2019 (COVID-19) situation might deteriorate the efforts to eliminate tuberculosis (TB) in Indonesia. This study aimed to review the COVID-19 pandemic disruption on the management of TB treatment in Indonesia. We identified several disruptions due to the pandemic on TB control management. Firstly, there is a potential decrease in the funding for TB treatment. Financial disruptions caused by the COVID-19 pandemic have led to further setbacks. In many countries, including Indonesia, financial and other resources have been reallocated from TB to the COVID-19 response. Secondly, it has been highlighted that all TB services, including case detection and rapid diagnostic, have been disrupted by the pandemic. Thirdly, the pandemic would be associated with the lower quality of care and treatment for TB in Indonesia. It might decrease the enthusiasm of patients with TB, multi-drug resistant (MDR)-TB, and TB-human immunodeficiency virus (HIV) to visit TB hospitals because of social distancing measures by the government. Finally, the COVID-19 pandemic also has impacted critical activities of monitoring, evaluation, and surveillance. There are several lessons from other countries about managing TB treatment during the pandemic, such as combining screening for COVID-19 and TB by applying x-ray technology and artificial intelligence-based software. In addition, the use of telemedicine or telehealth in TB treatment is also beneficial to deliver medication, assess patients' progress, and inform prevention strategies. To reach the target with the end TB strategy, the government of Indonesia can adopt the World Health Organization's (WHO's) comprehensive strategies, such as integrated, patient-centered TB care and prevention strategies; bold policies and supportive systems; and intensified research and innovations.

Diagnostics and management of tuberculosis and COVID-19 in a patient with pneumothorax (clinical case)

The spread of COVID-19 in countries with high and medium incidence of tuberculosis has led to an increased risk of COVID-19 and tuberculosis co-infection, introducing new diagnostic and therapeutic challenges for the clinician. Hereby we describe a first case where tuberculosis and COVID-19 were diagnosed concomitantly in a Russian patient with pneumothorax. We discuss the challenges associated with the diagnosis and treatment of tuberculosis during the COVID-19 pandemic.

Mycobacterial Membrane Protein Large 3 (MmpL3) Inhibitors: A Promising Approach to Combat Tuberculosis

Tuberculosis is a prominent aliment throughout the world and a leading cause of mortality among infectious diseases. Drug development for multi-drug resistance and reducing the current therapy time is the top priority. Mycobacterial membrane protein large 3 (MmpL3) is a promising target with high potential, however, it has not been explored to its greatest potential. It is a membrane transporter that translocates trehalose-monomycolate which is a precursor for the synthesis of mycolic acid that is essential for the synthesis of the bacterial cell wall and is pathogenic in nature. In this review, we have discussed the current development of MmpL3 inhibitors, different scaffolds, their derivatives, and their synthetic schemes and provide insight into the challenges in developing these inhibitors.

Coinfections with Respiratory Pathogens among COVID-19 Patients in Korea

The detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in upper and lower respiratory specimens and coinfection with other respiratory pathogens in patients with coronavirus disease 2019 (COVID-19) was investigated. Study subjects (N = 342) were retrospectively enrolled after being confirmed as SARS-CoV-2 positive, and their nasopharyngeal swab (NPS), oropharyngeal swab (OPS), and sputum specimens were restored for SARS-CoV-2 retesting and respiratory pathogen detection. The majority of the subjects (96.5%, N = 330) were confirmed as SARS-CoV-2 positive using NPS/OPS specimens. Among the COVID-19 patients (N = 342), 7.9% (N = 27) and 0.9% (N = 3) were coinfected with respiratory viruses and Mycoplasma pneumoniae, respectively, yielding an 8.8% (N = 30) overall respiratory pathogen coinfection rate. Of the respiratory virus coinfection cases (N = 27), 92.6% (N = 25) were coinfected with a single respiratory virus and 7.4% (N = 2) with two viruses (metapneumovirus/adenovirus and rhinovirus/bocavirus). No triple coinfections of other respiratory viruses or bacteria with SARS-CoV-2 were detected. Respiratory viruses coinfected in the patients with COVID-19 were as follows: rhinovirus (N = 7, 2.1%), respiratory syncytial virus A and B (N = 6, 1.8%), non-SARS-CoV-2 coronaviruses (229E, NL63, and OC43, N = 5, 1.5%), metapneumovirus (N = 4, 1.2%), influenza A (N = 3, 0.9%), adenovirus (N = 3, 0.9%), and bocavirus (N = 1, 0.3%). In conclusion, the diagnostic value of utilizing NPS/OPS specimens is excellent, and, as the first report in Korea, coinfection with respiratory pathogens was detected at a rate of 8.8% in patients with COVID-19.

Tuberculosis and COVID-19 interaction: A review of biological, clinical and public health effects

Evidence is accumulating on the interaction between tuberculosis (TB) and COVID-19.

The aim of the present review is to report the available evidence on the interaction between these two infections. Differences and similarities of TB and COVID-19, their immunological features, diagnostics, epidemiological and clinical characteristics and public health implications are discussed. The key published documents and guidelines on the topic have been reviewed.

Based on the immunological mechanism involved, a shared dysregulation of immune responses in COVID-19 and TB has been found, suggesting a dual risk posed by co-infection worsening COVID-19 severity and favouring TB disease progression.

The available evidence on clinical aspects suggests that COVID-19 happens regardless of TB occurrence either before, during or after an active TB diagnosis. More evidence is required to determine if COVID-19 may reactivate or worsen active TB disease. The role of sequeale and the need for further rehabilitation must be further studied

Similarly, the potential role of drugs prescribed during the initial phase to treat COVID-19 and their interaction with anti-TB drugs require caution. Regarding risk of morbidity and mortality, several risk scores for COVID-19 and independent risk factors for TB have been identified: including, among others, age, poverty, malnutrition and co-morbidities (HIV co-infection, diabetes, etc.). Additional evidence is expected to be provided by the ongoing global TB/COVID-19 study.