Use of lateral flow assays to determine IP-10 and CCL4 levels in pleural effusions and whole blood for TB diagnosis

Sutherland, Jayne S.; Mendy, Joseph; Gindeh, Awa; Walzl, Gerhard; Togun, Toyin; Owolabi, Olumuyiwa; Donkor, Simon; Ota, Martin O. C.; Fat, Elisa M. Tjon Kon; Ottenhoff, Tom H. M.; Geluk, Annemieke; Corstjens, Paul L. A. M.

doi:10.1016/j.tube.2015.10.011

Cited by 31 publications

(34 citation statements)

References 27 publications

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“…However when it comes to low-cost, simple, rapid and portable detection of TB, lateral flow tests (LFTs) are more popular [10]. In theory, any coloured particle can be used for LFT, however latex (i.e.…”

Section: Introductionmentioning

confidence: 99%

Automatic diagnosis of tuberculosis disease based on Plasmonic ELISA and color-based image classification

Abuhassan

Bakhori

Kusnin

et al. 2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Abstract-Tuberculosis (TB) remains one of the most devastating infectious diseases and its treatment efficiency is majorly influenced by the stage at which infection with the TB bacterium is diagnosed. The available methods for TB diagnosis are either time consuming, costly or not efficient. This study employs a signal generation mechanism for biosensing, known as Plasmonic ELISA, and computational intelligence to facilitate automatic diagnosis of TB. Plasmonic ELISA enables the detection of a few molecules of analyte by the incorporation of smart nanomaterials for better sensitivity of the developed detection system. The computational system uses k-means clustering and thresholding for image segmentation. This paper presents the results of the classification performance of the Plasmonic ELISA imaging data by using various types of classifiers. The five-fold cross-validation results show high accuracy rate (>97%) in classifying TB images using the entire data set. Future work will focus on developing an intelligent mobile-enabled expert system to diagnose TB in real-time. The intelligent system will be clinically validated and tested in collaboration with healthcare providers in Malaysia.

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Section: Introductionmentioning

confidence: 99%

Automatic diagnosis of tuberculosis disease based on Plasmonic ELISA and color-based image classification

Abuhassan

Bakhori

Kusnin

et al. 2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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“…Host inflammatory protein biomarkers have been shown to possess potential in the diagnosis of TB disease in both adults and children in previous studies (23,25,26), including being translated into field-friendly point-of-care tests (20,21). In a previous study done in our research group, a 3-marker CSF biosignature (VEGF, IL-13 and LL-37) was identified which showed potential as a tool for the diagnosis of TBM in children (25).…”

Section: Discussionmentioning

confidence: 91%

“…Host biomarker-based tests may be valuable in the diagnosis of TBM as they have previously been shown to be potentially useful in other extrapulmonary forms of TB (21), and may be easily converted into point-of-care or bedside tests (20,21). Most studies investigating host biomarkers for diagnosis of neurological disorders have focused on CSF as a biological specimen from the site of infection (24), including in the diagnosis of TBM (23,24). Despite the potential of CSF-based host biomarkers in the diagnosis of TBM, the collection of CSF requires lumbar puncture, an invasive procedure which requires special skill and training and might not be readily available, leading to delay in diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Potential of host serum protein biosignatures in the diagnosis of tuberculous meningitis in children

Manyelo

Solomons

Snyders

et al. 2019

Preprint

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Background: Tuberculous meningitis (TBM) is the most severe form of tuberculosis and results in high morbidity and mortality in children. Diagnostic delay contributes to the poor outcome. There is an urgent need for new tools for the rapid diagnosis of TBM, especially in children. Methods:We collected serum samples from children in whom TBM was suspected at a tertiary hospital in Cape Town, South Africa. Children were subsequently classified as having TBM or no TBM using a published uniform research case-definition. Using a multiplex cytokine array platform, we investigated the concentrations of serum biomarkers comprising 7-markers that were previously found to be of value in the diagnosis of adult pulmonary TB (CRP, SAA, CFH, IFN-γ, IP-10, Apo-AI and transthyretin) plus other potentially useful host biomarkers as diagnostic candidates for TBM. Findings:Of 47 children included in the study, 23 (48.9%) had a final diagnosis of TBM of which six had HIV co-infection. A modified version of the adult 7-marker biosignature in which transthyretin was replaced by NCAM1, diagnosed TBM in children with AUC of 0.80 (95% CI, 0.67-0.92), sensitivity of 73.9% (95% CI, 51.6-89.8%) and specificity of 66.7% (95% CI, 44.7-84.4%). A new childhood TBM specific 3-marker biosignature (adipsin, Aβ42 and IL-10) showed potential in the diagnosis of TBM, with AUC of 0.84 (95% CI, 0.73-0.96), sensitivity of 82.6% (95 CI, 61.2-95.0%) and specificity of 75.0% (95% CI, 53.3-90.2%) after leave-one-out cross validation.Conclusion: An adult 7-marker serum protein biosignature showed potential in the diagnosis of TBM in children. However, a smaller childhood TBM-specific biosignature demonstrated improved performance characteristics. Our data indicates that bloodbased biomarkers may be useful in the diagnosis of childhood TBM and require further investigation.

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“…M. bovis BCG infection induced the production of many cytokines and chemokines in THP-1 cells ( Figure S4A ). IFNAR1 and TYK2 gene knockdown in THP-1 cells abolished the production of infection-induced cytokines and chemokines, including IL-1Ra, which inhibits the pro-inflammatory function of IL-1α and IL-1β by binding to their receptor, as well as CXCL10 and CCL4, important biomarkers for monitoring TB treatment and disease progression (Sutherland et al, 2016) ( Figure S4C ).…”

Section: Resultsmentioning

confidence: 99%

Illuminating host-mycobacterial interactions with functional genomic screening to inhibit mycobacterial pathogenesis

Lai

Babunovic

Cui

et al. 2020

Preprint

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222 SUMMARY: 23 Existing antibiotics are inadequate to defeat tuberculosis (TB), a leading cause of death 24 worldwide. We sought potential targets for host-directed therapies (HDTs) by investigating 25 the host immune response to mycobacterial infection. We used CRISPR/Cas9-mediated 26 high-throughput genetic screens to identify perturbations that improve the survival of 27 human phagocytic cells infected with Mycobacterium bovis BCG (Bacillus Calmette-28 Gué rin), as a proxy for Mycobacterium tuberculosis (Mtb). Many of these perturbations 29 constrained the growth of intracellular mycobacteria. We identified over 100 genes 30 associated with diverse biological pathways as potential HDT targets. We validated key 31 components of the type I interferon and aryl hydrocarbon receptor signaling pathways that 32 respond to the small-molecule inhibitors cerdulatinib and CH223191, respectively; these 33 inhibitors enhanced human macrophage survival and limited the intracellular growth of 34 Mtb. Thus, high-throughput functional genomic screens can elucidate highly complex host-35 pathogen interactions and serve to identify HDTs with the potential to improve TB 36 treatment. 37 38

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Use of lateral flow assays to determine IP-10 and CCL4 levels in pleural effusions and whole blood for TB diagnosis

Cited by 31 publications

References 27 publications

Automatic diagnosis of tuberculosis disease based on Plasmonic ELISA and color-based image classification

Automatic diagnosis of tuberculosis disease based on Plasmonic ELISA and color-based image classification

Potential of host serum protein biosignatures in the diagnosis of tuberculous meningitis in children

Illuminating host-mycobacterial interactions with functional genomic screening to inhibit mycobacterial pathogenesis

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