Anti-Mycobacterial Peptides: From Human to Phage

Teng, Tieshan; Liu, Jiafa; Wei, Hongping

doi:10.1159/000369711

Cited by 24 publications

(19 citation statements)

References 118 publications

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“…Last decade witnessed the advancement of several promising therapeutic entities. Antitubercular peptides emerged as promising anti-TB drugs, due to their selective affinity toward cell envelope and low immunogenicity and diverse mode of action (Teng et al, 2015). Beside, trans-membrane pore formation which is the common bactericidal mechanism, most of the AntiTbP tend to have intracellular targets such as both ecumicin and lassomycin act on ClpC1 ATPase complex (Gavrish et al, 2014; Gao et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…The aerosolization release of viable airborne bacilli from the individuals with active tuberculosis, transmits it to the healthy individuals, with potential to further progress in disease (Churchyard et al, 2017). Therefore, an estimated one third population act as reservoir for TB (Teng et al, 2015). …”

Section: Introductionmentioning

confidence: 99%

“…Beside this, low immunogenicity of anti-mycobacterial peptides make them a possible alternate or supplement for conventional TB drugs (AlMatar et al, 2018). These antimycobacterial peptides have selective affinity to cell envelope as well as targeted immune response against Mycobacterium (Teng et al, 2015). …”

Section: Introductionmentioning

confidence: 99%

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Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features

2018

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Tuberculosis is one of the leading cause of death worldwide, particularly due to evolution of drug resistant strains. Antitubercular peptides may provide an alternate approach to combat antibiotic tolerance. Sequence analysis reveals that certain residues (e.g., Lysine, Arginine, Leucine, Tryptophan) are more prevalent in antitubercular peptides. This study describes the models developed for predicting antitubercular peptides by using sequence features of the peptides. We have developed support vector machine based models using different sequence features like amino acid composition, binary profile of terminus residues, dipeptide composition. Our ensemble classifiers that combines models based on amino acid composition and N5C5 binary pattern, achieves highest Acc of 73.20% with 0.80 AUROC on our main dataset. Similarly, the ensemble classifier achieved maximum Acc 75.62% with 0.83 AUROC on secondary dataset. Beside this, hybrid model achieves Acc of 75.87 and 78.54% with 0.83 and 0.86 AUROC on main and secondary dataset, respectively. In order to facilitate scientific community in designing of antitubercular peptides, we implement above models in a user friendly webserver (http://webs.iiitd.edu.in/raghava/antitbpred/).

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features

2018

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“…Phages, as “our enemy’s enemy,” are potential weapons against drug-resistant pathogens [16, 17]. Some phage products have already been approved by the FDA as food biopreservatives, such as ListShield and ListexP100 [18].…”

Section: Discussionmentioning

confidence: 99%

Phage Abp1 Rescues Human Cells and Mice from Infection by Pan-Drug Resistant Acinetobacter Baumannii

Yin

Huang

Zhang

et al. 2017

Cell Physiol Biochem

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Background/Aims: As an “ESKAPE” pathogen, Acinetobacter baumannii is one of the leading causes of drug-resistant infections in humans. Phage therapy may be a useful strategy in treating infections caused by drug-resistant A. baumannii. Among 21 phage strains that were isolated and described earlier, we investigated the therapeutic efficacy of Abp1 because of its relatively wide host range. Methods: Phage stability assays were used to evaluate thermal and pH stability of Abp1. Abp1 was co-cultured with A. baumannii (AB1) over a range of multiplicities of infection to determine its bactericidal efficacy. HeLa or THP-1 cells were used in the cytotoxicity and protection assays. Finally, the therapeutic effects of Abp1 on local and systemic A. baumannii infection in mice were determined. Results: We found that Abp1 exhibits high thermal and pH stability and has a low frequency of lysogeny. Bacteriophage resistance also occurs at a very low frequency (3.51±0.46×10^-8), and Abp1 can lyse almost all host cells at a MOI as low as 0.1. Abp1 has no detectable cytotoxicity to HeLa or THP-1 cells as determined by LDH release assay. Abp1 can rescue HeLa cells from A. baumannii infection, even if introduced 2 hours post infection. In both local and systemic A. baumannii infection mouse models, Abp1 treatment exhibits good therapeutic effects. Conclusion: Abp1 is an excellent candidate for phage therapy against drug-resistant A. baumannii infections.

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“…With improvements in diagnosis and treatment, the disease rate is slowly declining each year, and it is estimated that 37 million lives have been saved in recent decades [1]. Though anti-mycobacterial peptides and new antibiotics have a few advantages during TB treatment [2,3], the treatment efficacy has been considerably compromised by the emergence of multidrug-resistant TB (MDR-TB) strains. In order to enable rapid treatment and disease control, it is necessary to strengthen surveillance during the treatment course.…”

Section: Introductionmentioning

confidence: 99%

Decreased Osteopontin Expression as a Reliable Prognostic Indicator of Improvement in Pulmonary Tuberculosis: Impact of the Level of Interferon-γ-Inducible Protein 10

Zhu¹,

Jia²,

Chen³

et al. 2015

Cell Physiol Biochem

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Background/Aims: Osteopontin (OPN) expression is increased during the course of various chronic inflammatory diseases, including tuberculosis (TB). However, its prognostic value in TB management remains unclear. This study aimed to determine whether OPN could associate with other cytokines serving as a reliable biomarker for evaluating the effectiveness of early anti-TB treatments. Methods: Smear-positive pulmonary TB patients (n = 20) were recruited, and the plasma levels of OPN, IP-10, TNF-α, and IL-12 were measured by ELISA before initiation of anti-TB therapy and after sputum smear conversion. The C-reactive protein (CRP) levels and erythrocyte sedimentation rate (ESR) were also tracked during anti-TB treatment. Results: OPN expression was significantly elevated in patients with smear-positive pulmonary TB, and was closely related with disease severity. Monitoring during the treatment course revealed that its expression, along with that of IFN-γ-induced protein 10 (IP-10), decreased significantly only after sputum smear conversion. Moreover, OPN levels positively correlated with CRP levels before and after anti-TB treatment. Furthermore, OPN markedly promoted IP-10 expression in peripheral blood mononuclear cells. Conclusion: Association between OPN and IP-10 may serve as a reliable prognostic indicator for improvement during the early treatment of pulmonary TB, and may help clinicians in tailoring an effective TB treatment regimen.

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Anti-Mycobacterial Peptides: From Human to Phage

Cited by 24 publications

References 118 publications

Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features

Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features

Phage Abp1 Rescues Human Cells and Mice from Infection by Pan-Drug Resistant Acinetobacter Baumannii

Decreased Osteopontin Expression as a Reliable Prognostic Indicator of Improvement in Pulmonary Tuberculosis: Impact of the Level of Interferon-γ-Inducible Protein 10

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