| Literature DB >> 31852507 |
Aissata Camara1,2, Mohamed Haddad3, Karine Reybier3, Mohamed Sahar Traoré4,5, Mamadou Aliou Baldé4,5, Jade Royo3, Alpha Omar Baldé4,5, Philippe Batigne3, Mahamane Haidara6, Elhadj Saidou Baldé4,5, Agnès Coste3, Aliou Mamadou Baldé5, Agnès Aubouy3.
Abstract
BACKGROUND: The development of Plasmodium resistance to the last effective anti-malarial drugs necessitates the urgent development of new anti-malarial therapeutic strategies. To this end, plants are an important source of new molecules. The objective of this study was to evaluate the anti-malarial effects of Terminalia albida, a plant used in Guinean traditional medicine, as well as its anti-inflammatory and antioxidant properties, which may be useful in treating cases of severe malaria.Entities:
Keywords: Experimental cerebral malaria; Inflammatory response; Malaria; Oxidative stress; Terminalia albida; UHPLC-HRMS
Mesh:
Substances:
Year: 2019 PMID: 31852507 PMCID: PMC6921526 DOI: 10.1186/s12936-019-3071-9
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Sequences of murine primers used in quantitative RT-PCR experiments
| Gene | Sense | Antisense | Product size (bp) |
|---|---|---|---|
| GAPDH | 5′-ACA-CAT-TGG-GGG-TAG-GAA-CA | 5′-AAC-TTT-GGC-ATT-GTG-GAA-GG | 222 |
| IL-1β | 5′-GAT-CCA-CAC-TCT-CCA-GCT-GCA | 5′-CAA-CCA-ACA-AGT-GAT-ATT-CTC-GAT-G | 151 |
| TNF | 5′-CTC-CCT-TTG-CAG-AAC-TCA-GG | 5′-AGC-CCC-CAG-TCT-GTA-TCC-TT | 211 |
| HO-1 | 5′-CCA-GAG-TGT-TCA-TTC-GAG-CA | 5′-CAC-GCA-TAT-ACC-CGC-TAC-CT | 174 |
| IL-12 | 5′-TGG-TTT-GAT–GAT-GTC-CCT-GA | 5′-AGG-TCA-CAC-TGG-ACC-AAA-GG | 172 |
| IFNg | 5′-TGA-GCT-CAT-TGA-ATG-CTT-GG | 5′-ACT-GGC-AAA-AGG-ATG-GTG-AC | 236 |
| CD11b | 5′-AGA-TCG-TCT-TGG-GAG-ATG-CT | 5′-GAC-TCA-GTC-AGC-CCC-ATC-AT | 169 |
| TLR2 | 5′-TGT-AAC-GCA-ACA-GCT-TCA-GG | 5′-TGC-TTT-CCT-GCT-GGA-GAT-TT | 196 |
| ICAM-1 | 5′-AGC-TTG-CAC-GAC-CCT-TCT-AA | 5′-AGC-ACC-TCC-CCA-CCT-ACT-TT | 159 |
| GranzB | 5′-GCT-TCA-CAT-TGA-CAT-TGC-GC | 5′-AGA-ACA-GGA-GAA-GAC-CCA-GC | 172 |
| NFkB | 5′-ACC-GAA-GCA-GGA-GCT-ATC-AA | 5′-GCG-TAC-ACA-TTC-TGG-GGA-GT | 178 |
| PGEs | 5′-CAG-CCT-ATT-GTT-CAG-CGA-CA | 5′-CCT-AGG-CTT-CAG-CCT-CAC-AC | 157 |
| TGFb | 5′-GAC-TCT-CCA-CCT-GCA-AGA-CC | 5′-ACG-CGG-GTG-ACC-TCT-TTA G | 246 |
| CD36 | 5′-GAG-CAA-CTG-GTG-GAT-GGT-TT | 5′-GCA-GAA-TCA-AGG-GAG-AGC-AC | 206 |
| iNOS | 5′-ACA-AGG-CCT-CCA-ATC-TCT-GC | 5′-TCC-TGG-ACA-TTA-CGA-CCC-CT | 95 |
| VEGF | 5′-GCT-GTA-ACG-ATG-AAG-CCC-TG | 5′-CGC-TCC-AGG-ATT-TAA-ACC-GG | 236 |
| 5′-TCA-TTG-GGC-TCT-CAA-AGG-GT | 5′-CAA-TTG-GAG-GGC-AAG-TCT-GG | 209 |
Fig. 1Antiplasmodial activity of Terminalia albida treatment in ECM model. C57BL/6 mice were infected with P. berghei ANKA and treated 2 h later with chloroquine (5 mg/kg), Terminalia albida crude extract (100 mg/kg) or water (25 mL/kg) from Day 0 to Day 3. a Mean parasite densities during infection. b Percentages of parasite suppression according to the treatment, calculated by comparison to H2O treated mice. **P < 0.005, ***P < 0.0005 compared Terminalia albida to H2O group
Fig. 2Effect of Terminalia albida treatment on survival, weight and cerebral symptoms in ECM model. C57BL/6 mice were infected with P. berghei ANKA and treated 2 h later with chloroquine (5 mg/kg), Terminalia albida crude extract (100 mg/kg) or water (25 mL/kg) from Day 0 to Day 4. a Percentage of survival. b Percentage of weight loss at each day compared to Day 0. c Rapid murine cerebral behavior scale (RMCBS) between D3 and D7. *P < 0.05 compared Terminalia albida to H2O groups at D7. *P < 0.05 and **P < 0.005 compared Terminalia albida to H2O groups. §P < 0.05 compared Terminalia albida to chloroquine groups
Fig. 3Effect of Terminalia albida on cell infiltration in the brain of Plasmodium berghei-infected mice. C57BL/6 mice were infected with P. berghei and treated 2 h later with chloroquine (5 mg/kg), Terminalia albida crude extract (100 mg/kg) or water (25 mL/kg) from Day 0 to Day 4. Brains were analysed by flow cytometry at D7 post-infection. Percentages of cell populations were compared between groups for CD3+ (a), CD8+ (b) and CD4+ T lymphocytes (c). *P < 0.05, **P < 0.005, ***P < 0.0005
Fig. 4Effect of Terminalia albida treatment on the expression of pro- and anti-inflammatory markers in brains of Plasmodium berghei-infected mice. C57BL/6 mice were infected with P. berghei and treated with chloroquine (5 mg/kg), Terminalia albida (100 mg/kg) or water. Brains were harvested at D7 (for P. berghei and VEGF) or D8 post-infection (for the other markers). Gene expression was measured by RT-qPCR and cytokine levels were measured by ELISA. Gene expression levels of (a) P. berghei, VEGF, ICAM and Granzyme B; b pro-inflammatory cytokines, c other pro-inflammatory markers, and d anti-inflammatory markers. e Cytokine levels in pg/mL. *P < 0.05, **P < 0.005, ***P < 0.0005. Data presented are mean ± standard deviation
Fig. 5Assessment of in vitro anti-inflammatory properties of Terminalia albida. Murine macrophages were activated by LPS and IFNγ in the presence or not of 10 µg/mL of Terminalia albida. Gene expression levels of a pro-inflammatory cytokines, b other pro-inflammatory markers, c pro-inflammatory signalling pathways, and d anti-inflammatory markers. e Cytokine levels measured in supernatants, in pg/mL. *P < 0.05, **P < 0.005, ***P < 0.0005. Data are presented as mean ± SD
Fig. 6LUCS anti-oxidant assay. a Kinetics of fluorescence emission recorded under illumination for different concentrations of extract (7.5 10−3 mg/mL–1.92 mg/mL) using the LUCS assay. b Corresponding antioxidant index calculated from RFU values as follows: AI = 1000–1000 (0∫12 RFUn sample/0∫12 RFUn control)
Putative identified features (m/z × RT pairs) using HRMS and MS/MS fragmentation patterns using MzMine, MS-finder and DNP database
| ID | RT (min) | Formula finder | Δ Da | Putative ID | Ontology | Scoring | |
|---|---|---|---|---|---|---|---|
| 1 | 3.59 | 481.0977 [M–H]− | C21H22O13 | 0.0010643 | Vanillic acid 4-(6-galloylglucoside) | Phenolic glucoside gallate | 7.7481 |
| 2 | 4.11 | 447.0561 [M–H]− | C20H16O12 | 0.0007995 | Eschweilenol C | Hydrolyzable tannins | 7.5965 |
| 3 | 5.57 | 329.0296 [M–H]− | C16H10O8 | 0.0006908 | Ellagic acid-3,8-Di-Me ether | Hydrolyzable tannins | 7.5676 |
| 4 | 3.08 | 633.0719 [M–H]− | C27H22O18 | 0.0014374 | Corilagin | Hydrolyzable tannins | 7.5558 |
| 5 | 4.27 | 300.9984 [M–H]− | C14H6O8 | 0.0078670 | Ellagic acid | Hydrolyzable tannins | 7.4150 |
| 6 | 5.90 | 801.405 [M–H]− | C43H62O14 | 0.0016802 | 23-O-Galloylarjunolic acid 28-O-β- | Triterpenoids | 7.3505 |
| 7 | 3.97 | 483.0196 [M–H]− | C22H12O13 | 0.000914 | Flavogallonic acid-Me ester | Hydrolyzable tannins | 7.3463 |
| 8 | 2.69 | 469.0038 [M–H]− | C21H10O13 | 0.0010639 | Flavogallonic acid | Hydrolyzable tannins | 7.1290 |
| 9 | 7.26 | 639.3527 [M–H]− | C37H52O9 | 0.0011568 | 23-Galloylarjunolic acid | Triterpenoids | 7.0819 |
| 10 | 6.92 | 655.3481 [M–H]− | C37H52O10 | 0.0006714 | 23-Galloylterminolic acid | Triterpenoids | 6.9868 |
| 11 | 10.7 | 501.3589 [M–H]− | C31H50O5 | − 0.0003518 | 7-beta-Hydroxy-23-deoxojessic acid | Triterpenoids | 6.7122 |
| 12 | 7.71 | 547.3273 [M–H]− | C31H48O8 | 0.000342 | Quadrangularic acid F | Cycloartanols and derivatives | 6.7025 |