Systematic Review of Biomarkers To Monitor Therapeutic Response in Leishmaniasis
ABSTRACT
INTRODUCTION
METHODS
Literature search strategy.
Exclusion criteria | Rationale |
---|---|
Method uses ex vivo assays | Ex vivo growth of cells is not feasible in practice, and the link with clinical relevance is unclear |
Assay is nonquantitative | Quantitation is necessary for pharmacodynamic applicability |
Sampling methods are invasive (e.g., splenic aspiration, high blood volumes) | Not feasible/cannot be done repetitively |
Genetic markers are associated with drug resistance | Cannot be used to monitor treatment response during treatment |
Genetic markers are associated with susceptibility to leishmaniasis | Not in scope of this article |
No comparison with healthy controls | No information on “healthy levels” |
Other | Not relevant to the topic for various reasons |
Evaluation criteria.
Criterion | Reason for score of: | |||
---|---|---|---|---|
− | + | ++ | ? | |
Regression to normalcy | Occurs >1 mo after treatment | Occurs within 1 mo after treatment | Occurs within treatment period | Unknown |
Specificity | The biomarker lacks specificity when coinfections are present | The biomarker is specific for leishmaniasis with at least 1 coinfection (e.g., HIV) | The biomarker is specific for leishmaniasis with >1 coinfection | The biomarker is not tested in coinfected patients |
Sensitivity (quantitative comparison of marker levels) | Marker levels are not significantly different from those of healthy controls | Marker levels are significantly different from those of healthy controls | Marker levels are shown to reflect treatment outcome (e.g., there are significant differences between levels in refractory and recovered patients) | Marker levels are not compared to those of healthy controls |
Additional sensitivity (correlation with clinical markers) | Marker levels show no correlation with clinical parameters | Markers show correlation with other biomarkers (e.g., IL-10 levels or comparable) | Markers show correlation with clinical parameters (e.g., spleen size) | Clinical correlation is not tested |
Geographical applicability | There is contradicting evidence from different countries/regions | There is confirmed evidence from >1 country | There is confirmed evidence from >1 continent | Not tested in multiple countries |
LITERATURE SEARCH

IDENTIFIED BIOMARKERS
Marker category | Biomarker | Detection technique(s) | Matrix(ces) | Region(s) | Clinical presentation(s) of leishmaniasis | Biomarker evaluation score | Reference(s) | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Time until normalcy | Specificity | Sensitivity (quantitative comparison) | Additional sensitivity | Geographical applicability | |||||||
Direct markers for: | |||||||||||
Parasite detection | Parasites in blood | (q)(RT-)PCR, NASBA(-OC), OC | Blood | India/France/Netherlands/Nepal/Italy/Sudan | VL | + | ++ | + | ? | ++ | 14–25, 27, 28 |
Parasites in lesion biopsy specimen | qRT-PCR, QT-NASBA | Lesion biopsy specimen | Netherlands/India/Germany/Israel/Brazil | CL/PKDL | + | ++ | ++ | ? | ++ | 17, 29–37 | |
Parasites in skin swab | q(RT-)PCR | (Extra)lesional swab | Colombia/Ecuador | CL | ? | ++ | + | ? | + | 38–40 | |
Antigen detection | Carbohydrate antigen | Latex agglutination (KAtex), ELISA | Urine | Bangladesh/Nepal/Sudan/Brazil/Yemen/Spain/Iran | VL | + | ++ | + | ? | ++ | 26, 44–55 |
Indirect markers for: | |||||||||||
Macrophage-related markers | IDO | HPLC | Plasma | France | VL | – | ? | + | ? | ? | 157 |
ADA | Colorimetric, substrate assay | Serum | India/Nepal | VL | ++ | + | + | ? | + | 59–62 | |
Colorimetric, substrate assay | Serum | Turkey | CL | ? | ? | + | ? | ? | 63 | ||
MIF | ELISA | Serum | Brazil | VL | ? | – | + | ? | ? | 71, 72 | |
Neopterin | RIA | Serum | Netherlands/Kenya/Brazil | VL | + | ? | + | ? | ++ | 57, 58 | |
C1q | Radial immunodiffusion | Serum | Kenya | VL | + | ? | + | ? | ? | 158 | |
Cytokines | CCL3/MIP-1α | ELISA | Serum | Ethiopia | VL | ? | + | + | ? | ? | 159 |
CCL4/MIP-1β | ELISA | Serum | Ethiopia | VL | ? | + | + | ? | ? | 159 | |
CXCL10/IP10 | ELISA | Serum | Ethiopia | VL | – | ? | + | ? | ? | 67 | |
CXCL9/Mig | ELISA | Serum | Ethiopia | VL | – | ? | + | ? | ? | 67 | |
CD40L | Luminex assay | Serum | Brazil/Bangladesh | VL | + | – | + | ? | ++ | 70, 87 | |
IL-10 | CBA/ELISA/multiplex biometric immunoassay | Serum | India/Brazil/Sicily/Ethiopia | VL/PKDL | + | – | ++ | + | ++ | 17, 64–69, 73, 74, 77, 82, 98, 160, 161 | |
RT-PCR/qPCR/immunohistochemistry | Serum/biopsy specimen | French Guiana/Venezuela/Tunisia/Brazil | CL | ? | ? | ++ | ++ | ? | 79–82, 162–164 | ||
IL-12 | ELISA | Serum | Iran/Brazil/Ethiopia | VL | ++ | ? | + | ? | ++ | 65, 67, 69, 73, 83, 90 | |
RT-PCR | Biopsy specimen | Tunisia/Mexico/Brazil | CL | ? | ? | + | ++ | ++ | 76, 80, 102 | ||
IL-15 | ELISA | Serum | Ethiopia, Sicily | VL | ? | ? | + | ? | ++ | 67, 165 | |
IL-17A | CBA | Serum | Sudan | VL | ? | + | + | ? | ? | 100 | |
IL-18 | ELISA | Serum/urine | Ethiopia | VL | ++ | + | + | ? | ? | 67, 103 | |
IL-27 | ELISA | Serum | India | VL | ? | ? | + | ? | ? | 78 | |
IL-32γ | qPCR | Biopsy specimen | Brazil | CL | ? | ? | + | ? | ? | 163 | |
IL-33 | ELISA | Serum | France | VL | ? | ? | + | ? | ? | 166 | |
IL-4 | ELISA | Serum | Brazil/India | VL | ? | ? | + | ? | – | 17, 66, 68, 69, 83, 84, 160, 167 | |
RT-PCR | Biopsy specimen | India/Brazil | CL | ? | ? | + | ++ | – | 76, 79, 81, 162, 164, 168 | ||
IL-6 | ELISA/RT-PCR/CBA | Serum | India/Brazil/Sudan/Ethiopia | VL | ++ | ? | ++ | – | ++ | 73, 75, 77, 84, 90, 101, 160 | |
ELISA/RT-PCR/CBA | Biopsy specimen | Europe/Tunesia/Mexico | CL | ? | ? | + | ++ | ++ | 80, 92, 162, 169 | ||
IL-8/CXCL8 | CBA | Serum | Bangladesh/Brazil | VL/CL | ? | ? | + | ? | ? | 90, 92 | |
IFN-γ | CBA/ELISA/multiplex biometric immunoassay | Serum | India/Brazil/Sicily/Ethiopia/Sudan | VL/PKDL | + | + | ++ | ? | ++ | 65–68, 73, 74, 77, 78, 83, 97, 99, 100, 160, 161 | |
RT-PCR | Serum/biopsy specimen | French Guiana/Mexico/Tunisia/Spain | CL | ? | ? | + | – | ? | 79, 80, 162, 164 | ||
sFas/sFasL | ELISA | Serum | Ethiopia/Sudan/India | VL | ? | – | + | ? | ++ | 170 | |
TGF-β | RT-PCR/immunohistology | Biopsy specimen | India/Brazil/Mexico | CL/PKDL | ? | ? | + | ? | ++ | 160, 162 | |
TNF-α | CBA/ELISA/immunoradiometric assay kit | Serum | Brazil/India/Ethiopia/Sudan | VL/PKDL | ++ | ++ | + | ? | – | 74, 77, 83–86, 88, 90, 91, 99, 100, 160, 171 | |
Immunoradiometric assay kit/RT-PCR/qPCR/chemiluminescence | Serum/biopsy specimen | Brazil/Mexico/Tunisia/Turkey | CL | ? | ? | + | ++ | – | 80, 92–94, 96, 160, 162, 163, 169, 172 | ||
Cell surface molecules and circulating receptors | sHLA-G | ELISA | Serum | French | VL | ? | – | + | ? | ? | 173 |
β2-microglobulin | ELISA | Serum | Sicily | VL | – | ? | + | ? | ? | 174 | |
sCD14 | ELISA | Serum | Brazil | VL | ? | ? | + | ? | ? | 72 | |
sCD26 | ELISA | Serum | Iran/India | VL/CL | ? | ? | ++ | ? | – | 175–178 | |
sCD30 | ELISA | Serum | Iran | VL/CL | ? | ? | ++ | ? | ? | 175, 177, 178 | |
sCD4 | ELISA | Serum | Brazil/Sicily | VL | ? | ? | + | ? | ++ | 57, 174 | |
sCD8 | ELISA | Serum | Brazil/Sicily | VL | ? | ? | ++ | ? | ++ | 57, 174 | |
sICAM-1 | ELISA | Serum | Brazil | VL | ? | ? | ++ | ? | ? | 57, 179 | |
sIL-2R | ELISA | Serum | Brazil/Sicily | VL/PKDL | – | ? | ++ | + | ++ | 57, 70, 104–106 | |
sIL-4R | ELISA | Serum | Kenya | VL | ? | + | + | ? | ? | 106 | |
sTNFR | ELISA | Serum | Sudan/Brazil | VL | + | ? | ++ | ? | ++ | 86, 91 | |
Acute-phase proteins | AGP | Radial immunodiffusion | Serum | Kenya | VL | ++ | ? | + | ? | ? | 107 |
CRP | ELISA | Serum | Kenya/India/Sudan | VL | – | ? | ++ | ? | ++ | 75, 107–109 | |
SAA | ELISA | Serum | Kenya | VL | ++ | ? | ++ | ? | ? | 107 | |
Other proteins | Arginase | Colorimetric assay | PBMCs/lesion biopsy specimen/serum | Brazil/India/Ethiopia | VL/CL/PKDL | ++ | ? | + | – | ? | 110–113, 180 |
Cortisol | Radioimmunoassay | Serum | Brazil/Mexico | CL | ? | ? | + | ? | – | 181, 182 | |
CTLA-4 (CD152) | RT-PCR | Lesion biopsy specimen | India | PKDL | – | ? | + | ? | ? | 82 | |
DHEA-S | Automated enzyme immunoassay-based techniques/radioimmunoassay | Serum | Brazil/Mexico | CL | ? | ? | + | ? | + | 181, 182 | |
Foxp3 | RT-PCR | Lesion biopsy specimen | India | PKDL | + | ? | + | + | ? | 82, 183 | |
MMP2 | RT-PCR | Biopsy specimen | Brazil | CL | ? | ? | ++ | ? | ? | 184 | |
MMP9 | Luminex assay | Serum | Brazil/Bangladesh | VL | – | – | + | ? | ? | 70, 87 | |
NOs | Griess reaction | Serum | India/Turkey/Nepal | VL | ? | ? | + | ? | – | 59, 75, 185 | |
Griess reaction | Serum | Venezuela/Turkey | CL | ? | ? | + | ? | ++ | 89, 186–188 | ||
Prolactin | Automated enzyme immunoassay-based techniques | Serum | Brazil | CL | ? | ? | + | ++ | ? | 181 | |
SOD1 | ELISA | Serum | Brazil | CL | + | ? | ++ | ? | ? | 189 |
Direct markers. (i) Parasite detection.
(ii) Antigen detection.
Indirect markers. (i) Macrophage-related markers.
(ii) Cytokines.
(iii) Cell surface molecules and circulating receptors.
(iv) Acute-phase proteins.
(v) Other markers.
Antibody detection.
GENERAL ISSUES PERTAINING TO THE PHARMACODYNAMIC POTENTIAL OF BIOMARKERS
SELECTION OF POTENTIAL PHARMACODYNAMIC BIOMARKERS
Direct biomarkers.
Indirect biomarkers.
CONCLUSIONS AND FUTURE PERSPECTIVE
ACKNOWLEDGMENT
REFERENCES
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