| Literature DB >> 29140309 |
María-Isabel Rocha-Gaso1, Luis-Jesús Villarreal-Gómez2, Denis Beyssen3, Frédéric Sarry4, Marco-Antonio Reyna5, Carlos-Napoleón Ibarra-Cerdeña6.
Abstract
Chagas disease (CD), which mostly affects those living in deprived areas, has become one of Latin America's main public health problems. Effective prevention of the disease requires early diagnosis, initiation of therapy, and regular blood monitoring of the infected individual. However, the majority of the Trypanosoma cruzi infections go undiagnosed because of mild symptoms, limited access to medical attention and to a high variability in the sensitivity and specificity of diagnostic tests. Consequently, more affordable and accessible detection technologies capable of providing early diagnosis and T. cruzi load measurements in settings where CD is most prevalent are needed to enable enhanced intervention strategies. This work analyzes the potential contribution of biosensing technologies, reviewing examples that have been tested and contrasted with traditional methods, both serological and parasitological (i.e., molecular detection by PCR), and discusses some emerging biosensing technologies that have been applied for this public health issue. Even if biosensing technologies still require further research efforts to develop portable systems, we arrive at the conclusion that biosensors could improve the accuracy of CD diagnosis and the follow-up of patients' treatments in terms of the rapidity of results, small sample volume, high integration, ease of use, real-time and low cost detection when compared with current conventional technologies.Entities:
Keywords: Chagas disease; biosensors; detection technologies; diagnosis
Mesh:
Year: 2017 PMID: 29140309 PMCID: PMC5712880 DOI: 10.3390/s17112629
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1General scheme of a biosensor detection strategy. A biosensor is composed of a biochemical interface where specific bio-species are recognized; a transducer which translates the recognition event to another physical response that can be measured and an electronic system which acquires and records the signal.
Figure 2Schematic representation of Chagas disease severity evolution. Disease severity is presented along a time axis beginning with parasite acquisition via vectorial infection (see text for other forms of parasite infection). Big arrows show the condition’s progression from a state to another and the size of boxes represents the proportional frequencies of patients presenting that particular condition. Gradient bars show the likelihood of parasite detection by different test types and the drug treatment efficacy along the time axis.
Methods for the diagnosis of Chagas disease (CD). * LOD: Limit of Detection. NA: Not applicable.
| Methods | Drawbacks | Benefits | LOD * | Need of Labeling | References |
|---|---|---|---|---|---|
|
Microorganism need to growth fast Long time to yield results It needs to be conducted in a laboratory Needs an aseptic working area Requires highly trained personnel Tedious procedure |
Low cost Easy to perform | NA | No | [ | |
|
Not commercially available for CD diagnosis Large dimensions It needs to be conducted in a laboratory (currently) Further research and development is required for portable systems High research cost |
Label free detection Quantitative detection No need of an aseptic working area Fast (real-time measurements) Easy to perform. Not need of trained personnel In situ simple preparation High analytical specificity Reduction of reagents consumption Reduced analysis time High sensitivity and reliability Integration of multiple processes in a single device Possible automation Low fabrication cost Possible sensor regeneration for multiple analyses | ~2 nM [ | No | [ | |
|
Labeled detection Requires highly qualified personnel Long assay times It needs to be conducted in a laboratory Complex and expensive instruments Presents cross-reactivity with other infectious agents |
High selectivity and sensitivity Improves the time required to yield results It works well for samples without interfering molecules | ~30 nM [ | Yes | [ | |
|
Complex and expensive instruments are required Requires highly trained personnel It needs to be conducted in a laboratory Difficult to perform Long assay times |
High selectivity and sensitivity Improves the time required to yield results | ~10 nM [ | Yes | [ | |
|
Specificity 96.8% High possibility of presenting false positive Just qualitative results The method needs a tube and a measured volume of sample |
Fast (15–25 min) High sensitivity of 99.5% Low cost (less than $2 USD to the end user) | ~20 nM | Yes | [ |
Biomarkers used for the detection of Chagas disease by the phase of the disease.
| Phase of the Disease | Biomarker Name | Reference |
|---|---|---|
| IL-12, IFN-gamma, TNF-alpha, nitric oxide (NO), IL-17, IL-10, CD4+ T cells | [ | |
| Aptamer, CCL2, MAL/TIRAP, CCR5, CD15s+ Treg cells, CD27+ T cells, CD28+ T cells, CD8+ T cells, TIMP-1, IMP-2, Troponin I, TGF-β, IL-10, APOA1, Fibronectin, MMP-2, MMP-9, ANP, BNP, N-terminal pro-BNP, IFN-γ, TNF-α, IL-1β, IL-6, CKMB, miRNA-1, miRNA-133a, iRNA-133b, miRNA-208a, miRNA-208b, PIIINP, PICP, Syndecan-4, ICAM-1, Galectin-3, KMP11, HSP70, PAR2, Tgp63, Antigen 13, SAPA, Tc24 | [ |
IL: Interleukine, IFN: Interferon, TNF: Tumor Necrosis Factor, CD: Cluster Differentiation, miRNA: micro ribonucleic acid, CCL: Chemokine ligand, TIRAP: Toll-interleukin 1 receptor adaptor protein, MAL: MyD88 Adapter-Like, CCR5: C-C receptor quimiocina type 5, TIMP: Tissue Inhibitor of Metalloproteinases, IMP: Inosine Monophosphate, TGF: Transforming Growth Factor, AMP: Apolipoprotein A, MMP: Matrix Metalloproteinases, ANP: Atrial Natriuretic Peptide, BNP: Brain Natriuretic Peptide, CKMB: Creatine Kinase, subunits designated M and B, APOA: Apolipoprotein A, PIIINP: Procollagen III N-Terminal Propeptide, PICP: Propeptides of Type I Procollagen, ICAM: intercellular adhesion molecules, KMP: Kinetoplastid membrane protein, HSP: Heat Shock Proteins, PAR: Protease activated receptor, Tgp: Thymocyte growth peptide, SAPA: Sphingolipid activator protein A, Tc: T. cruzi.
Different commercial biosensing systems currently available on the market.
| Product | Company Name | Transducer Technology | Dimensions (cm) | Weight (kg) | Sample Volume (µL) | Portability Rate * |
|---|---|---|---|---|---|---|
| Q-Sense Omega Auto | Q-sense | Acoustic | 70 × 67 × 57 | 83 | 50 | 1 |
| Biacore X100 | General Electric | SPR | 59.6 × 56.3 × 59.3 | 47 | 20–30 | 3 |
| AWS A20-F20 | AWsensors | Acoustic | 77 × 75 × 45 | 60 | 50–1000 | 2 |
| OpenPlex | Horiba | SPRi | 49 × 30.4 × 48 | 15.6 | 200 | 4 |
* Portability Rate: 1 for a non-portable equipment to 5 for a portable equipment.