Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2025 Feb 14;22(6):e202401621. doi: 10.1002/cbdv.202401621

In Vitro Antiplasmodial Activity and Chemical Composition of Combretum aculeatum, a Medicinal Plant From Niger

Souleymane Magagi Damé 1, Louis Leclercq 2, Catherine Vonthron‐Sénécheau 2, Amadou Tidjani Ilagouma 1,, Sergio Ortiz 2,
PMCID: PMC12168148  PMID: 39887910

ABSTRACT

Malaria remains a significant public health challenge in Niger, accounting for 5.6% of global malaria‐related deaths. Local medicinal plants are frequently used as traditional treatments for malaria, although their efficacy and safety are often insufficiently investigated. This study aims to evaluate the antiplasmodial activity and chemical composition of eight medicinal plants from Niger. Plant extracts were tested in vitro for their ability to inhibit the uptake of [3H]‐hypoxanthine in the Plasmodium falciparum NF54 chloroquine‐sensitive strain. The most active extract was subjected to chemical analysis using HPLC–PDA–HRMS/MS dereplication, whereas major compounds were quantified via a validated LC–UV method. The ethyl acetate extract of Combretum aculeatum (2a) demonstrated important antiplasmodial activity, with an IC50 value of 3.1 µg/mL and a selectivity index of 24.5. C‐glycosyl flavonoids were identified as the primary constituents, present at concentrations ranging from 5.7 to 9.8 mg of vitexin equivalent per g of extract. However, the low abundance of these compounds suggests that other constituents may contribute to the extract's antiplasmodial effects. Further investigations are required to explore possible synergies among the components of 2a and to assess its efficacy in vivo models.

Keywords: dereplication, HPLC–UV quantification, malaria, medicinal plants, Niger


Workflow of current study.

graphic file with name CBDV-22-e202401621-g002.jpg

1. Introduction

Malaria remains an important global health burden and is responsible for the death of 608 000 people annually, principally in Southeast Asia and Africa, where Niger is located. Most malaria mortality in this country is caused by Plasmodium falciparum, the most common species in the highly malaria‐endemic areas of Africa. In Niger, 5.6% of malaria‐related deaths occur principally because of the emergence of drug‐resistant strains of P. falciparum and the limited access to conventional therapy [1]. The WHO recognizes traditional medicine as an important part of healthcare, especially in developing countries, and encourages its integration with modern healthcare systems to address the limited access to primary healthcare [2]. This must be supported by scientific research to better evaluate the benefits and risks of the traditional preparations.

In Niger, 27 medicinal plants have been reported to treat malaria symptoms [3]. However, few studies dealing with the antiplasmodial activity and the chemical composition of these plants have been reported yet. The aqueous and methanolic extracts of the two main species, Senna occidentalis and Azadirachta indica, have been reported to show a significant reduction in parasitaemia in the Plasmodium berghei mouse model. The putative antiplasmodial compounds include anthraquinones, flavonoids and triterpenoids [4, 5].

To better understand the antimalarial activity of medicinal plants from Niger and to integrate these extracts into the modern healthcare system, more biological and chemical data must be obtained. Dereplication allows for the quick identification of known compounds within a plant extract, avoiding isolation by comparison of high‐resolution MS/MS spectra of an extract to MS/MS spectra of known compounds available in open databases, leading to a reliable chemical fingerprint of plant extracts. By quantifying known compounds that have previously shown antiplasmodial activity using robust HPLC–UV methods, a chemical fingerprint including putative antiplasmodial compounds can be obtained.

In this framework, data on plants traditionally used in the treatment of malaria in Niger were collected through personal contact with local traditional healers during an ethnobotanical survey of medicinal plants, conducted in August 2022. A bibliographic survey permitted to retain eight plant species available for collection, for which both antiplasmodial activity had not been thoroughly investigated and phytochemical data were lacking [6].

Aqueous and organic extracts were prepared from the parts of each selected plant indicated as traditionally used in decoction or in maceration by the traditional healers. All extracts were then screened for antiplasmodial activity in vitro by assessing its ability to inhibit the uptake of [3H]‐hypoxanthine by the parasite. The selectivity of the antiplasmodial activity was evaluated against other protozoan parasites and using L6 mammalian cells. IC50 values were determined for the most active extracts. For the most selective extract, the identification of known compounds was performed using an HPLC–PDA–HRMS/MS‐based dereplicative approach. When these compounds were previously described for their antiplasmodial activity, their quantification was performed using a validated HPLC–UV methodology, highlighting the significance of accurately measuring their concentration to understand their contributions to the antiplasmodial activity of the extract.

2. Results and Discussion

Traditional healers and herbal medicine sellers in the areas of Niamey and Dosso in Niger were consulted directly to gather basic ethnobotanical information about the plants studied. Questions concentrated mainly on plants that are traditionally used against malaria. On the basis of this information, different databases (Lotus, Reaxys, Dictionary of Natural Products) were consulted to survey the literature concerning these plants. The selected medicinal plants were collected in August 2022, and botanical identification was ensured by Dr. Arzika Tanimoune (Garba Mounkaila Laboratory, Abdou Moumouni University). Vouchers of each specimen were deposited in the Herbarium of the Biological Department, Abdou Moumouni University (Table 1). The parts of the selected plant species traditionally used were extracted to yield 24 extracts, which were tested for antiprotozoal activities. The in vitro activity against P. falciparum (chloroquine‐sensitive NF54 strain, erythrocytic stage) was determined using a [3H]‐hypoxanthine incorporation assay, and against Trypanosoma brucei rhodesiense (STIB900 strain, bloodstream form) and Leishmania donovani (MHOM/ET/67/L82 strain, axenic amastigotes) using a resazurin reduction assay (Table 2). Finally, the most active extracts were investigated for antiprotozoal IC50 values measurement and for their cytotoxic activity towards L6 cells (rat skeletal myoblasts) by CC50 measurement (Table 3).

TABLE 1.

Collected medicinal plants.

Scientific names Families Some therapeutic indications Traditional preparation Administration Part used Voucher number a References
Cynanchum boveanum Decne. Apocynaceae Malaria convulsion, gonorrhoea Decoction or maceration Daily until symptoms disappear Whole plant 172 [6]
Combretum aculeatum Vent. Combretaceae Malaria, haemorrhoids, stomach aches Decoction or maceration Daily until symptoms disappear Aerial part 16 [6]
Gardenia sokotensis Hutch. Rubiaceae Malaria, diarrhoea, haemorrhoids Decoction Daily until symptoms disappear Leaves 219 [6]
Scoparia dulcis L. Plantaginaceae Malaria, fever, bronchitis, hepatitis Decoction Daily until symptoms disappear Whole plant 279 [6]
Tephrosia bracteolata Guill. Fabaceae Malaria, diabetes Decoction Daily until symptoms disappear Leaves 754 [6]
Maerua crassifolia Forssk. Capparaceae Malaria, diabetes, sinusitis, intestinal parasitosis Decoction Daily until symptoms disappear Leaves 40 [6]
Eucalyptus camaldulensis Dehnh. Myrtaceae Malaria, cold, bronchitis, Decoction Daily until symptoms disappear Leaves 1033 [3]
Vitex doniana Sweet Lamiaceae Malaria, haemorrhoids, hepatitis Decoction Daily until symptoms disappear Leaves 109 [3]
a

Voucher number corresponding to the deposited specimen at the Herbarium of the Biological Department, Abdou Moumouni University.

TABLE 2.

In vitro percentage of growth inhibition of extracts against Plasmodium falciparum, Trypanosoma brucei rhodesiense and Leishmania donovani at 10 and 2 µg/mL.

Scientific names Extracts Code Extraction yield (%) a Parasite growth inhibition (%) b
P. falciparum T. b. rhodesiense L. donovani
10 µg/mL 2 µg/mL 10 µg/mL 2 µg/mL 10 µg/mL 2 µg/mL
C. boveanum AcOEt c 1a 2.7 3.2 ± 4.8 5.4 ± 3.3 6.9 ± 2.6 0 ± 0.0 13.6 ± 10.4 0 ± 0.0
MeOH d 1m 11.2 7.0 ± 4.7 0 ± 0.0 0 ± 0.0 0 ± 0.0 0 ± 0.0 0 ± 0.0
H2O e 1d 9.5 8.1 ± 0.6 2.6 ± 1.6 5.8 ± 3.0 0 ± 0.0 0 ± 0.0 0 ± 0.0
C. aculeatum AcOEt c 2a 3.0 69.8 ± 7.5 7.5 ± 6.9 0 ± 0.0 0 ± 0.0 0 ± 0.0 0 ± 0.0
MeOH d 2m 21.4 11.2 ± 4.0 0 ± 0.0 0 ± 0.0 0 ± 0.0 0 ± 0.0 0 ± 0.0
H2O e 2d 9.5 6.3 ± 2.8 0 ± 0.0 0 ± 0.0 0 ± 0.0 0 ± 0.0 0 ± 0.0
G. sokotensis AcOEt c 3a 12.7 88.2 ± 1.5 10.4 ± 2.4 6.7 ± 0.2 0 ± 0.0 81.1 ± 20.4 29.6 ± 0.0
MeOH d 3m 12.0 0 ± 0.0 0 ± 0.0 9.8 ± 2.1 0 ± 0.0 20.6 ± 5.2 0 ± 0.0
H2O e 3d 1.4 0 ± 0.0 0 ± 0.0 0.0 ± 0.0 0 ± 0.0 19.9 ± 6.0 0 ± 0.0
S. dulcis AcOEt c 4a 4.2 93.4 ± 2.9 0 ± 0.0 86.7 ± 19.4 0 ± 0.0 23.0 ± 0.8 0 ± 0.0
MeOH d 4d 4.7 25.2 ± 7.1 2.4 ± 0.5 3.2 ± 2.1 0 ± 0.0 10.9 ± 5.9 0 ± 0.0
H2O e 4m 2.1 21.4 ± 10.6 8.5 ± 3.9 0 ± 0.0 3.8 ± 1.5 10.5 ± 7.1 0 ± 0.0
T. bracteolata AcOEt c 5a 2.5 17.1 ± 5.1 0 ± 0.0 0 ± 0.0 0 ± 0.0 12.4 ± 8.9 7.5 ± 0.0
MeOH d 5m 6.7 15.0 ± 3.9 0 ± 0.0 0 ± 0.0 0 ± 0.0 11.8 ± 3.1 0 ± 0.0
H2O e 5d 1.9 4.3 ± 1.5 0 ± 0.0 0 ± 0.0 0 ± 0.0 15.9 ± 2.9 0 ± 0.0
M. crassifolia AcOEt c 6a 1.7 26.6 ± 6.1 2.8 ± 1.8 5.6 ± 3.2 0 ± 0.0 24.6 ± 1.9 0 ± 0.0
MeOH d 6m 11.2 0 ± 0.0 0 ± 0.0 0 ± 0.0 5.1 ± 3.7 22.1 ± 2.2 0 ± 0.0
H2O e 6d 7.9 0 ± 0.0 0 ± 0.0 0 ± 0.0 2.6 ± 0.4 23.8 ± 5.8 0 ± 0.0
E. camaldulensis AcOEt c 7a 16.3 80.7 ± 6.4 0 ± 0.0 0 ± 0.0 5.8 ± 3.0 94.0 ± 9.6 29.5 ± 0.0
MeOH d 7m 16.2 8.8 ± 0.3 0 ± 0.0 5.2 ± 2.3 5.6 ± 3.1 9.9 ± 3.3 0 ± 0.0
H2O e 7d 4.7 30.2 ± 0.6 11.2 ± 2.9 0 ± 0.0 4.1 ± 2.0 13.3 ± 0.2 0 ± 0.0
V. doniana AcOEt c 8a 3.2 26.6 ± 5.7 13.3 ± 8.8 8.2 ± 1.8 0 ± 0.0 32.4 ± 4.2 0 ± 0.0
MeOH d 8m 12.1 9.8 ± 4.7 0 ± 0.0 2.6 ± 0.3 12.4 ± 3.6 18.8 ± 3.6 0 ± 0.0
H2O e 8d 2.8 20.1 ± 9.0 8.2 ± 5.8 6.6 ± 2.0 6.4 ± 1.7 18.4 ± 2.0 0 ± 0.0
Chloroquine 100 ± 0.0 100 ± 0.0
Melarsoprol 100 ± 0.0 100 ± 0.0
Miltefosine 100 ± 0.0 100 ± 0.0

Note: ‘—’ means not tested.

a

Extraction yield calculated in rapport of the initial plant mass (= 1).

b

The results are expressed as means ± SD of triplicates measurements (= 3).

c

Ethyl acetate extract maceration.

d

Mehtanolic maceration extract.

e

Decoction extract.

TABLE 3.

Antiplasmodial, antitrypanosomal and antileishmanial IC50, CC50 values (µg/mL ± SD) and selectivity index (SI) of the most active extracts.

Code IC50 (µg/mL) a CC50 (µg/mL) a SI *
P. falciparum T. b. rhodesiense L. donovani L6
2a 3.1 ± 0.2 76.0 ± 19.2 24.5
3a 4.3 ± 0.5 4.3 ± 2.6 8.2 ± 3.4 1.9
4a 6.7 ± 0.3 21.5 ± 1.9 45.9 ± 4.5 6.8
7a 7.8 ± 1.4 3.0 ± 1.6 22.8 ± 2.5 2.9
Chloroquine 0.003 ± 0.001 /
Melarsoprol 0.005 ± 0.001 /
Miltefosine 0.29 ± 0.08 /
Podophyllotoxin 0.008 ± 0.0 /

Note: ‘—’ means not tested; ‘/’ means not calculated.

a

The results are expressed as means ± SD of triplicates measurements (= 3).

*

Selectivity index between CC50 value and IC50 antiplasmodial values (SI = CC50/IC50).

A range of extraction yield was obtained between 1.4% (decoction of Gardenia sokotensis) and 21.4% (methanolic extraction of Combretum aculeatum). Methanol and decoction extracts from all plants showed no important antiparasitic activity against the three tested parasites, and only the ethyl acetate extract showed high levels of activity (≥50% at 10 µg/mL) against P. falciparum. The ethyl acetate extract of C. aculeatum (2a), G. sokotensis (3a), Scoparia dulcis (4a) and Eucalyptus camaldulensis (7a), showed the strongest antiplasmodial activity with a percentage of inhibition ranging from 93.4% to 69.8% at 10 µg/mL and with IC50 values of 3.1–7.8 µg/mL (Figures S1–S3). Among the tested extracts, only 2a showed selectivity when compared to the other protozoan evaluated species. As reported previously in the literature against P. falciparum strains, the most active isolated compounds from medicinal plants are usually lipophilic compounds, which could explain that only the lipophilic extracts showed high levels of antiplasmodial activity in vitro in comparison with methanolic and decoction extracts [7].

Previous studies have investigated the in vivo antiplasmodial activity of two extracts with different polarities from the leaves of E. camaldulensis. A chloroform extract of E. camaldulensis, sourced from Nigeria, showed a significant reduction in the average parasitaemia of P. berghei–infected mice when administered at daily doses of 25 and 300 mg/kg of weight (66% compared with the untreated group on Day 5) [8]. In another study, the aqueous extract of E. camaldulensis leaves displayed 60% efficacy in reducing parasitaemia on the same model at daily doses of 200 and 100 mg/kg of weight [9]. In the case of S. dulcis, the ethyl acetate extract (4a) showed an IC50 value of 6.7 µg/mL, comparable to the activity reported in the literature for an ethyl acetate extract and a hydroethanolic extract against the chloroquine‐resistant FCR‐3 strain (IC50 = 19.5 and 6.6, respectively). Moreover, the hydroethanolic extract showed no effect on inhibiting in vitro haemozoin formation, suggesting that other mechanisms may be responsible for its antiplasmodial activity. These in vitro and in vivo antiplasmodial activities of S. dulcis and E. camaldulensis have been partially attributed to the presence of bioactive compounds, such as polymethoxyflavonoids, glycosylflavonoids, triterpenoids, bicyclic diterpenoids and mono‐ and triterpenoids, respectively [10, 11].

For G. sokotensis extracts, 3a showed antiplasmodial activity with an IC50 value of 4.3 µg/mL, similar to the activity reported for the dichloromethane extract of the leaves against the P. falciparum 3D7 chloroquine‐resistant strain (IC50 = 14 µg/mL) [12]. In another study, the in vivo antiplasmodial activity in P. berghei–infected mice was reported for both dichloromethane and dichloromethane/methanol extracts of G. sokotensis leaves (72% and 87% reductions of parasitaemia) at a daily dose of 500 mg/kg of weight [13]. However, no phytochemical reports were found for G. sokotensis.

The active extracts, which were also active against T. b. rhodesiense and L. donovani, of S. dulcis (4a), E. camaldulensis (7a) and G. sokotensis (3a) showed poor selectivity indices (1.9–6.8) against the mammal cell line L6, indicating that the antiplasmodial compounds could also exert cytotoxic effects on eukaryote cells. These results must be taken into consideration for further biological assays regarding the safe administration of these medicinal plants.

For C. aculeatum, no previous reports have documented antiparasitic activities. In this study, extract 2a (ethyl acetate extract) was found active against P. falciparum (IC50 = 3.1 µg/mL) and showed the highest selectivity, with a selectivity index (SI) of 24.5. To identify the bioactive compounds responsible for the antiplasmodial activity of 2a, a dereplicative analysis was carried out by HPLC–PDA–HRMS/MS analysis (Figure 1) and visualized through a molecular network representation (Figure 2). Additionally, the detected compounds were quantified by a validated HPLC–UV method.

FIGURE 1.

FIGURE 1

LC–MS/MS chromatogram of 2a in negative mode showing the main compounds identified: isoorientin (4), orientin (5), vitexin (7), isovitexin (8) and asiatic acid (18).

FIGURE 2.

FIGURE 2

Molecular network of 2a. Node size is proportional to peak area detected in negative mode.

The molecular network of 2a organizes the fragmented compounds detected (Table 4) in the HPLC–PDA–HRMS/MS analysis in several clusters, corresponding principally to C‐glycosyl flavonoids (Figure 2). After some sugar derivatives and small organic compounds, the first eluted phenolic compound was putatively identified as C‐glycosyl flavonoid (4), which gave a pseudo‐molecular ion [M–H] at m/z 447 and fragmentated on the glycosidic moiety, at m/z 327 [M‐C4H8O4‐H] and at m/z 357 [M‐C3H6O3‐H], characteristic of fragmentation loss of C‐glycosyl flavonoids [14]. The same fragmentation pattern was observed for the phenolic compounds 5, 7 and 8. Their structure was confirmed by co‐elution with pure standards and identified as isoorientin (4), orientin (5), vitexin (7) and isovitexin (8). In the case of isoorientin (4), its node was not connected with the rest of C‐glycosyl flavonoids, based on the important intensity difference of the main fragment ions when compared with the respective fragmentation spectra of 5, 7 and 8. O‐Galloyl‐C‐glycosyl flavonoid derivatives were also detected with a pseudo‐molecular ion [M–H] at m/z 599 for O‐galloyl‐orientin (9) and at m/z 583 for O‐galloyl‐vitexin (12) derivatives, respectively. O‐Cinnamoyl‐vitexin (13) was also putatively detected with a pseudo‐molecular ion [M–H] at m/z 577 with a fragmentation signal at m/z 431, corresponding to the vitexin ion. O‐Glycosyl flavonoids were also detected, principally kaempferol and quercetin derivatives. Rutin (6, [M–H] at m/z 609, [M‐hexosyl‐hexosyl‐H] at m/z 300/301) and quercetin‐hexoside (10, [M–H] at m/z 463, [M‐hexosyl‐H] at m/z 300/301) presented the characteristic fragment signal corresponding to the quercetin aglycone with the loss of one or two H. [15] Kaempferol‐O‐hexoside (11, [M–H] at m/z 447) was identified as kaempferol derivative by the important presence of the fragmented signal at m/z 285, corresponding to the aglycone. In addition, eight triterpenoids were putatively detected, corresponding to isomers of quinovic acid (17, [M–H] at m/z 485), of asiatic acid (1820, [M–H] at m/z 487) and maslinic acid (23, 24, 27 and 28, [M–H] at m/z 471). The identity of compound 18 was confirmed as asiatic acid by co‐elution with the respective commercial standard. Lipids derivatives were also detected at m/z 327 (15), m/z 329 (16) and m/z 295 (25). The presence of these classes of compounds in 2a is supported by previous studies of leaves of C. aculeatum collected in Sudan [16]. This is the first evidence of the presence of 4, 5 and 18 in C. aculeatum.

TABLE 4.

Identification of chemical constituents present in C. aculeatum extract (2a) by comparison of the MS/MS data.

Code RT m/z Adduct Formula Δppm ΔmDa MS/MS Putative identification
1 3.30 179.0577 [M–H] C6H12O6 11.93 2.14 59.0132; 71.0143; 85.0321 Hexose isomer
225.0573 [M + FA]
2 3.54 221.0691 [M–H] C8H14O7 13.45 2.97 59.0127; 85.0367; 108.1255 Acetyl hexose isomer
3 4.77 169.0111 [M–H] C7H6O5 −15.40 −2.6 n.f. Gallic acid
4 10.17 447.0877 [M–H] C21H20O11 −11.30 −5.04 327.0494; 357.0583; 297.0424; 299.0508; 285.0374 Isoorientin a
895.1821 [2M–H]
5 12.40 447.0865 [M–H] C21H20O11 −14.00 −6.24 327.0480; 357.0568; 297.0412; 299.0496; 285.0362 Orientin a
895.1797 [2M–H]
6 16.61 609.1447 [M–H] C27H30O16 −1.41 −0.86 300.0222; 301.0256 Rutin a
7 17.05 431.0932 [M–H] C21H20O10 −10.72 −4.62 311.0507; 283.0568; 341.0625 Vitexin a
8 17.16 431.0942 [M–H] C21H20O10 −8.40 −3.62 311.0517; 283.0577; 341.0636; 312.0531 Isovitexin a
863.2064 [2M–H]
9 17.81 599.1042 [M–H] C28H24O15 0.84 0.50 309.0439; 327.0500; 429.0854 Galloyl‐orientin isomer
10 18.08 463.0913 [M–H] C21H20O12 7.88 3.65 300.0237; 301.0271 Quercetin hexose
11 18.22 447.0894 [M–H] C21H20O11 −7.46 −3.34 285.0385 Kaempferol hexose
12 18.96 583.1086 [M–H] C28H24O14 −0.31 −0.18 431.0932; 169.0114; 311.0514; 293.0514 Galloyl‐vitexin isomer
1167.2 [2M–H]
13 21.92 577.1322 [M–H] C30H26O12 −4.16 −2.4 293.0461; 311.0515; 431.1052 Cinnamoyl‐vitexin isomer
14 23.12 695.3937 [M–H] C37H60O12 −10.00 −6.95 487.338
15 24.13 327.2157 [M–H] C18H32O5 −4.43 −1.45 203.0965; 183.1454; 155.1025; 57.0314 Tri hydroxy octadeca dienoic acid isomer
16 25.00 329.2304 [M–H] C18H34O5 −7.29 −2.40 229.1431; 127.1172 Tri hydroxy octadeca enoic acid isomer
17 28.02 485.3275 [M–H] C30H46O5 1.65 0.80 n.f. Quinovic acid isomer
971.6612 [2M–H]
18 29.10 487.3369 [M–H] C30H48O5 −11.20 −5.45 n.f. Asiatic acid a
975.6845 [2M–H]
19 29.39 487.338 [M–H] C30H48O5 −8.93 −4.35 n.f. Asiatic acid isomer I
975.687 [2M–H]
20 31.12 487.3381 [M–H] C30H48O5 −8.72 −4.25 n.f. Asiatic acid isomer II
975.6871 [2M–H]
21 33.31 633.3709 [M–H] C35H54O10 11.09 7.03 145.0299; 469.3273 n.i.
1267.8 [2M–H]
22 33.65 293.2117 [M–H] C18H30O3 0.10 0.03 n.f. n.i.
587.4321 [2M–H]
23 35.00 485.2759 [M–H] C25H42O9 1.74 0.84 227.2166 n.i.
24 35.17 471.3391 [M–H] C30H48O4 −17.7 −8.33 n.f. Maslinic acid isomer I
943.6923 [2M–H]
25 35.38 471.3392 [M–H] C30H48O4 −17.5 −8.23 n.f. Maslinic acid isomer II
943.6926 [2M–H]
26 35.58 295.2285 [M–H] C18H32O3 4.00 1.18 229.1434; 127.1170 Hydroxy octadeca dienoic acid isomer
27 36.03 485.2749 [M–H] C25H42O9 −0.33 −0.16 277.2157 n.i.
28 36.34 471.3422 [M–H] C30H48O4 −11.10 −5.23 n.f. Maslinic acid isomer III
943.6985 [2M–H]
29 36.86 471.3391 [M–H] C30H48O4 −17.70 −8.33 n.f. Maslinic acid isomer IV
943.6924 [2M–H]
30 37.40 297.24 [M–H] C18H34O3 −9.99 −2.97 n.f. n.i.
31 37.60 297.2406 [M–H] C18H34O3 −7.97 −2.37 n.f. n.i.
32 40.75 377.1385 [M–H] C23H22O5 −1.06 −0.40 116.9267; 100.9320; 84.9366 n.i.

Note: ‘n.f.’ means no fragmentation signal; ‘n.i.’ means no identified compound.

a

Compound identified by standard comparison.

To determine the concentrations of C‐glycosyl derivatives previously identified by co‐elution with standards (isoorientin, orientin, vitexin and isovitexin) in 2a, an HPLC–PDA quantification methodology was developed, performed and validated according to EMA guidelines, assessing trueness, precision, accuracy and linearity parameters (Figures S4S11) at 280 nm (Figure 3, Table 5) [17]. Optimized separation was obtained with isocratic conditions (15% of acetonitrile [ACN] and 85% of water). The methodology allowed us to determine a concentration of 5.7 mg of vitexin (7) per g of dry extract (corresponding to a concentration of 1.32 × 10−4 M at the tested extract solution). Relative quantification of isoorientin (4), orientin (5) and isovitexin (8) revealed concentrations of 9.8, 6.0 and 9.3 mg of vitexin equivalent per g of dry extract (2.20 × 10−4, 1.33 × 10−4 and 2.18 × 10−4 M at the tested extract solution), respectively.

FIGURE 3.

FIGURE 3

Chromatographic profile of 2a at 280 nm obtained in isocratic conditions.

TABLE 5.

Validation results obtained for the quantification method of vitexin.

Validation criteria Concentration levels of vitexin (mg/mL)
0.05 0.1 0.2 0.4 0.6
Response function Linear regression
Calibration range 4 points
µg/mL 0.05–0.6
Trueness Relative bias (%) −4.84 1.65 0.88 −0.25 1.38
Precision Repeatability (RSD%) 3.44 2.31 0.91 0.75 0.35
Intermediate precision (RSD%) 3.45 2.23 1.60 0.67 3.31
Accuracy Lower and upper tolerance limits (%) −13.23 −3.73 −4.83 −1.84 −15.03
3.55 7.02 6.60 1.34 17.79
Linearity Slope 95.269
Int. 0.2169
R 2 0.9998

Abbreviation: RSD, relative standard deviation.

In the literature, vitexin showed an IC50 value of 4.4 µM (1.9 µg/mL) against the P. falciparum K1 chloroquine‐resistant strain, whereas isovitexin was not active [18]. Isoorientin, on the other hand, was found to be active against the chloroquine‐resistant RKL‐9 and sensitive 3D7 strains with IC50 values of 14.4 µM (6.4 µg/mL) and 13.2 µM (5.9 µg/mL), respectively [19]. Regarding the IC50 value of 2a (3.1 µg/mL), the proportion in the extract of vitexin or isoorientin should be very important to be the only responsible for the in vitro activity (1.9–6.4 µg/mL in the literature against P. falciparum). However, vitexin and isoorientin are present in very low concentrations (5.7–9.8 mg of vitexin equivalent per g of extract) in the extract to justify by themselves the activity of 2a. These findings indicate that other compounds could play a role in the antiplasmodial activity of the ethyl acetate extract of C. aculeatum.

In the case of asiatic acid, another compound identified in 2a, an administration of 10 mg/kg of weight per oral in a pre‐infection P. berghei in vivo model resulted in a prolongation of the pre‐patent period, reduction of the percentage of parasitaemia at Day 7 in comparison to the untreated group, reduction of white cell count and an augmentation of haemoglobin levels at Days 9, 12 and 21 of infection [20]. Other asiatic acid isomers, such as arjunolic and arjunic acids, showed an antiplasmodial in vitro activity of 9.9 and 9.7 µM as IC50 values against P. falciparum K1 chloroquine‐resistant strain [21]. In addition, 2″‐O‐galloylvitexin also demonstrated moderate in vitro activity with an IC50 value of 38 µM [22].

These findings indicate that the antiplasmodial activity of 2a could be explained not only by the presence of a single or various bioactive compounds, but by a potential synergistic or additive effect of their chemical constituents. In fact, flavonoids extracted from Artemisia annua (artemetin, casticin, chrysoplenetin, chrysosplenol‐d and cirsilineol) with moderate in vitro antiplasmodial activity exhibited a synergistic effect at 5 µM in combination with artemisinin. Triterpenes, such as 2,3,19‐tri hydroxy ursolic acid, isolated from Kigelia africana (Bignoniaceae), showed synergistic effect with a combination of artemether and also with a combination with atranorin, a polyphenol compound isolated from the same plant, on the W2mef P. falciparum strain with a combination index of 0.26 and 0.78, respectively [23]. This evidence highlights the complexity of natural compound interactions and the need to consider synergistic effects when assessing the antiplasmodial activity of medicinal plants. It suggests that the therapeutic potential of natural products against malaria may lie not just in isolated compounds but in the intricate interplay of various constituents within these natural matrices.

In addition to identifying the compounds responsible for the antiplasmodial activity of C. aculeatum, optimizing the extraction procedures could also be considered. Parameters, such as solvent type, number of cycles and temperature, should be optimized to obtain and standardize a potentially more active extract.

3. Conclusions

Ethyl acetate extracts of four medicinal plants showed important inhibition of parasite growth at 10 µg/mL against P. falciparum. The best IC50 value of 3.1 ± 0.2 µg/mL was obtained for ethyl acetate extract of C. aculeatum, which also presented the best SI (24.5). Dereplication by molecular networking of this extract allowed the identification of C‐glycosyl flavonoids, triterpenoids and lipid derivatives. Quantification suggests that C‐glycosyl flavonoids are not responsible by themselves for the antiplasmodial activity of the extract. Further research should focus on uncovering potential synergies among the chemical constituents of C. aculeatum to enhance our understanding of its antiplasmodial activity.

4. Experimental Section

4.1. Materials, Chemicals and Reagents

RPMI 1640 medium, MEM medium, SM medium, dimethylsulphoxide (DMSO), chloroquine, hypoxanthine, HEPES, NaHCO3, neomycin, AlbumexR, MEM non‐essential amino acids solution, 2‐mercaptoethanol, sodium pyruvate, horse serum, foetal bovine serum, resazurin, l‐glutamine, miltefosine and podophyllotoxin were purchased to Sigma‐Aldrich (St. Louis, USA). Melarsoprol was purchased from Sanofi‐Aventis (Paris, France). Ethyl acetate, methanol, trifluoroacetic acid (TFA) and ACN were purchased from Carlo Erba (Emmendingen, Germany). Ethyl acetate was distilled before maceration.

4.2. Plant Material and Extraction

Eight plants from Niger were collected in August 2022: at Botanical Garden, Science and Techniques Faculty of Niamey University (13°30′05.4″N 2°05′28.6″E) for C. aculeatum and E. camaldulensis; at Harobanda market, Niamey (13°29′31.0″N 2°05′51.2″E) for Cynanchum boveanum and G. sokotensis; in Bolbol, Dosso Region (12°57′20.6″N 3°34′55.8″E) for S. dulcis and Tephrosia bracteolate; and in Doutchi, Dosso Region (13°42′26.7″N 3°59′27.9″E) for Maerua crassifolia and Vitex doniana. Botanical identification of plants was done by Dr Arzika Tanimoune (Garba Mounkaila Laboratory, Abdou Moumouni University). Voucher of each collected plant was deposited at the Herbarium of the Biological Department, Abdou Moumouni University (Table 1). Plants were then dried at room temperature and powdered.

4.3. Preparation of Extracts

For each plant, three types of extracts were prepared. Ethyl acetate and methanolic extracts were obtained through sequential maceration—first using ethyl acetate, then methanol—at 10% w/v, over two 24‐h cycles. The aqueous extract was made by boiling 10 g of dried plant powder in 100 mL of distilled water at 105°C for 15 min. Extracts were filtered through a Whatmann filter system (11 µm pore size). The filtrate was concentrated in a rotary evaporator (Vacuubrand) under reduced pressure at 35°C. Decoction extracts were then frozen at −80°C and then freeze‐dried (BenchTop Pro Lyophilizer) until complete solvent evaporation. The extraction yield was calculated according to the following equation:

Extractionyield=DryextractmassgPlantmaterialmassg×100

Extract solutions were prepared at 10 mg/mL in DMSO until biological evaluation.

4.4. In Vitro Antiprotozoal Assays

The effectiveness of the extracts in inhibiting the growth of P. falciparum, T. b. rhodesiense and L. donovani was first tested at concentrations of 10 and 2 µg/mL. Extracts that showed over 50% growth inhibition at 10 µg/mL against any of the parasites were selected for IC50 value determination by serial dilution. These values were calculated from the inhibition curves using SoftmaxPro software (Molecular Devices Cooperation, Sunnyvale, CA, USA).

4.4.1. Antiplasmodial Assay

In vitro activity against erythrocytic stages of P. falciparum was determined using a [3H]‐hypoxanthine incorporation assay using the drug‐sensitive NF54 strain (Swiss Tropical and Public Health Institute) and the standard drugs chloroquine [24]. Continuous in vitro cultures of asexual erythrocytic stages of P. falciparum were maintained in RPMI 1640 medium without hypoxanthine, supplemented with HEPES (5.94 mg/mL), NaHCO3 (2.1 mg/mL), neomycin (100 U/mL), AlbumaxR (5 mg/mL) and washed human red cells A+. Initial concentration of each plant extract was 30 µg/mL diluted with two‐fold dilutions to make seven concentrations, the lowest being 0.47 µg/mL. After 48 h of incubation at 37°C, [3H]‐hypoxanthine was added to each well, and the incubation was continued for another 24 h at the same temperature. The plates were then harvested with a Betaplate cell harvester (Wallac, Zurich, Switzerland), and the red blood cells were transferred onto a glass fibre filter and then washed with distilled water. The dried filters were inserted into a plastic foil with 10 mL of scintillation fluid and counted in a Betaplate liquid scintillation counter (Wallac, Zurich, Switzerland). Chloroquine was used as control.

4.4.2. Antitrypanosomal Assay

In vitro culture of T. b. rhodesiense STIB900 strain (Swiss Tropical and Public Health Institute) of bloodstream form [25] was maintained in axenic culture conditions (MEM medium supplemented with 25 mM HEPES, 1 mg/mL additional glucose, 1% MEM non‐essential amino acids [100×], 0.2 mM 2‐mercaptoethanol, 1 mM sodium pyruvate and 15% heat‐inactivated horse serum). Initial concentration of each plant extract was 30 µg/mL diluted with two‐fold dilutions to make seven concentrations, the lowest being 0.47 µg/mL. Then 4 × 103 bloodstream forms of T. b. rhodesiense STIB900 in 50 µL on modified medium were added to each well and the plate incubated at 37°C under a 5 % CO2 atmosphere for 70 h. Then, 10 µL of resazurin solution (0.125 mg/mL) was added to each well, and incubation continued for a further 2 h [25]. Then, the plates were read with a Spectramax Gemini XS microplate fluorometer (Molecular Devices Cooperation, Sunnyvale, CA, USA) using an excitation wavelength of 536 nm and an emission wavelength of 588 nm. Melarsoprol was used as control.

4.4.3. Antileishmanial Assay

Amastigotes of L. donovani strain MHOM/ET/67/L82 (Swiss Tropical and Public Health Institute) are grown in axenic culture at 37°C in SM medium at pH 5.4 supplemented with 10% heat‐inactivated foetal bovine serum under an atmosphere of 5% CO2 in air. Initial concentration of each plant extract was 30 µg/mL diluted with two‐fold dilutions to make seven concentrations, the lowest being 0.47 µg/mL. One hundred microlitres of culture medium with 1 × 105 amastigotes from axenic culture with or without a serial drug dilution are seeded in 96‐well microtitre plates. After 70 h of incubation, the plates are inspected under an inverted microscope to assure growth of the controls and sterile conditions. Then, 10 µL of resazurin (0.125 mg/mL) are added to each well, and the plates are incubated for another 2 h. Then the plates are read with a Spectramax Gemini XS microplate fluorometer (Molecular Devices Cooperation, Sunnyvale, CA, USA) using an excitation wavelength of 536 nm and an emission wavelength of 588 nm [26]. Miltefosine was used as positive control.

4.5. Cytotoxicity Assay

Assay was performed in 96‐well microtitre plates, each well containing 100 µL of RPMI 1640 medium supplemented with 1% l‐glutamine (200 mM) and 10% foetal bovine serum and 4000 L‐6 cells (ATCC CRL‐1458, bought from LGC standards, France), a primary cell line derived from rat skeletal myoblasts. Serial drug dilutions of eleven 3‐fold dilution steps covering a range from 100 to 0.002 µg/mL were prepared. After 70 h of incubation, the plates were inspected under an inverted microscope to assure growth of the controls and sterile conditions. Ten microliters of resazurin (0.125 mg/mL) was then added to each well and the plates incubated for another 2 h. Then the plates were read with a Spectramax Gemini XS microplate fluorometer (Molecular Devices Cooperation, Sunnyvale, CA, USA) using an excitation wavelength of 536 nm and an emission wavelength of 588 nm [27]. Podophyllotoxin is used as control. The SI corresponds to the ratio of the IC50 value of the cytotoxic activity to the IC50 value of antiplasmodial activity.

4.6. Statistical Analysis

For biological evaluations, data were normalized as a percentage of inhibition in relation with the corresponding parasite control (0% absence de parasites and 100% normal growth of parasites). All experiments were performed independently at least three times. Means and standard deviation (±SD) of the means were calculated with the program SoftMax Pro 7 (Molecular Devices Cooperation, Sunnyvale, CA, USA).

4.7. HPLC–PDA–HRMS/MS Analysis

HPLC–PDA–HRMS/MS analyses were performed on an HPLC–PDA Agilent 1200 system coupled with an Agilent Accurate Mass QToF 6520 mass spectrometer (Agilent, USA), controlled with a Mass Hunter software. The chromatographic separation was done on a 5 µm particles Uptisphere C18, 250 × 4.6 mm2 column. Stock solutions of crude extract and standards were prepared in methanol at 10 and 1 mg/mL concentrations, respectively, and the injection volume was 10 µL. The mobile phase consisted of 0.1% of formic acid in water (solvent A) and 0.1% of formic acid in ACN (solvent B). Elution of the mobile phase was performed with a flow rate of 0.8 mL/min in gradient mode: 0–10 min (15%, v/v, B); 10–40 min (15%–65%, v/v, B); 40–45 min (65%–100%, v/v, B); 45–55 (100%, v/v, B); 55–60 (100%–15%, v/v, B); and 60–65 (15%, v/v, B). Detection wavelengths for chromatograms were set between 190 and 500 nm. HRMS analyses were performed in ESI positive and negative modes with the following inlet conditions for both modes: ESI gas temperature of 340°C, nebulizer of 30 psig, MS TOF fragmentor of 120 V, skimmet of 68 V and a collision energy of 30 eV. The MS/MS events were performed on the most abundant ions detected in full MS scans.

4.8. MS/MS Data Treatment

HRMS data (.d) files obtained in negative mode (more informative set) were converted to .mzML files with MSConvert 3.0 software and then treated using an open‐source software MZmine 2.53. Noise level was set to 1.5 × 102 and 10 for mass detection at MS1 and MS2 levels, respectively. The ADAP chromatogram builder was used by setting a minimum group size of 5 scans, group intensity threshold of 1.0 × 103, minimum highest intensity of 1.0 × 103 and m/z tolerance of 10 ppm. The intensity window S/N as an S/N estimator was used to deconvolute the chromatogram by ADAP wavelets algorithm with a signal‐to‐noise ratio set at 15, a minimum feature of 1.0 × 103, a peak duration ranging from 0.02 to 0.6 min, a coefficient threshold at 10, and an RT wavelet range of 0.01–0.2 min ‘Isotope peak grouper’ was used to detect isotope pattern forming peaks and to remove additional minor isotopic peaks using an m/z tolerance of 10 ppm, RT tolerance of 0.5 min (absolute) and maximum charge set at 1. The most intense isotope was selected as the representative isotope. The resulting mass list was filtered using ‘duplicate peak filter’ and ‘feature list rows filter’ to remove all duplicates and features and keep only MS/MS scans.

4.9. Mass Spectral Organization and Dereplication

MZmine, after MS data treatment, gave a .mgf file which was exported to the GNPS website to construct a molecular network. The precursor ion mass tolerance was set to 2.0 Da with MS/MS fragmentation tolerance of 0.5 Da. A network was created by setting the edges to have a cosine value of 0.70 and more than three common peaks. The spectra in the network were then searched against GNPS's spectral libraries under the same conditions. Additional putative identification of unmatched peaks was carried out by comparing available MS/MS fragmentation patterns in the literature (https://lotus.naturalproducts.net/). Data were visualized using Cytoscape 3.8.0 software. Data of peak area was added to the network from .csv file, obtained from MZmine. Size of nodes was set proportionally to the total area of each peak detected in the analysed extract.

4.10. HPLC–PDA Quantification of C‐Glycosyl Flavonoids

HPLC separations were conducted described previously in HPLC–PDA–HRMS/MS analysis with the same analytical column and with an isocratic method of solvent with 15% (v/v) of ACN with 0.1% of TFA and 85% (v/v) of H2O with 0.1% of TFA and a flow rate of 0.8 mL/min for 45 min. Stock solution of vitexin standard was prepared at 1 mg/mL concentration in HPLC grade methanol and then serially diluted to achieve five different concentrations in the range of 0.05–0.6 mg/mL (1.16 × 10−10 M to 1.39 × 10−9 M, Figures S1S5). The relative quantification of isovitexin, orientin and isoorientin was performed using vitexin solutions as surrogate standards. The results were expressed in milligrams of vitexin equivalents per gram of extract. All analyses were carried out with 10 µL injection volume and with a flow rate of 0.8 mL/min. Chromatograms were integrated at 280 nm. Extract solution was freshly prepared at 10 mg/mL in HPLC grade methanol and analysed under the same conditions as the vitexin standard. Validation criteria, such as response function, trueness, precision, accuracy and linearity using a calibration range of 0.05–0.6 mg/mL (1.16 × 10−10 M to 1.39 × 10−9 M) of vitexin in methanol are presented in Table 5. Linear regression was selected as the most adequate regression model, with 95% expectation tolerance intervals included inside the ±20% acceptance limits for each concentration level of the validation standards. The calculated bias was less than 1.65%, showing the good trueness of the method. Precision was evaluated inter‐day (intermediate precision) and intra‐day (repeatability) and expressed as relative standard deviations (RSDs) with 3.45% and 3.44% as maximum deviations, respectively. All the trueness and precision results follow EMA guidelines criteria (≤15%) [17]. Accuracy profiles, evaluating the sum of systematic and random errors (total error), indicated the relative upper and lower 95% β‐expectation tolerance limits were inside the acceptance limits set at ±20%. LOD and LOQ were calculated from the residual standard deviation (σ) of the regression curves and the slopes (S), according to the following equation: LOD = 3.3 σ/S (0.020 mg/mL) and LOQ = 10 σ/S (0.061 mg/mL).

Author Contributions

Souleymane Magagi Damé: conceptualization, methodology, resources, data curation, writing–original draft preparation, writing–review and editing, project administration. Louis Leclercq: resources. Catherine Vonthron‐Sénécheau: data curation, writing–original draft preparation, project administration. Amadou Tidjani Ilagouma: conceptualization, project administration. Sergio Ortiz: conceptualization, methodology, software, writing–original draft preparation, writing–review and editing, project administration. All authors have read and agreed to the published version of the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

Supporting information

Supporting Information

Acknowledgments

We are grateful to Dr. Delphine Garnier and Dr. Cheng Deng (PCBIS platform UAR 3286) for mass spectrometry. SMD was supported by a Campus France fellowship 2022 grant (No. 123669X). This work of the Interdisciplinary Thematic Institute IMS, the drug discovery and development institute, as part of the ITI 2021‐2028 program of the University of Strasbourg, CNRS and Inserm, was supported by IdEx Unistra (ANR‐10‐IDEX‐0002) and by SFRI‐STRAT'US project (ANR‐20‐SFRI‐0012) under the framework of the French Investments for the Future Program.

Funding: S.M.D. was supported by a Campus France fellowship 2022 grant (123669X). This work of the Interdisciplinary Thematic Institute IMS, the drug discovery and development institute, as part of the ITI 2021‐2028 program of the University of Strasbourg, CNRS and Inserm, was supported by IdEx Unistra (ANR‐10‐IDEX‐0002) and by SFRI‐STRAT'US project (ANR‐20‐SFRI‐0012) under the framework of the French Investments for the Future Program.

Contributor Information

Amadou Tidjani Ilagouma, Email: Ilagoumat@gmail.com.

Sergio Ortiz, Email: ortizaguirre@unistra.fr.

Data Availability Statement

Data are available on request from the authors.

References

  • 1. W. H. O. Team , Global Malaria Program (GMP), World Malaria Report 2023 (WHO Press, 2023). ISBN: 978‐92‐4‐008617‐3. [Google Scholar]
  • 2. W. H. O. Team , WHO Traditional Medicine Strategy: 2014‐2023 (WHO Press, 2013). ISBN: 978 92 4 150609 0. [Google Scholar]
  • 3. Soumaila M., Seley K., Maarouhi I., and Ali M., “Diversity of Healing Plants Used in the Traditional Treatment of Malaria in Four Municipalities of Niger,” Asian Journal of Applied Sciences 5 (2017): 812–821, https://ajouronline.com/index.php/AJAS/article/view/5033. [Google Scholar]
  • 4. Mogaka S., Mulei I., and Njoki P., et al., “Antimalarial Efficacy and Safety of Senna Occidentalis (L.) Link Root Extract in Plasmodium Berghei‐Infected BALB/c Mice,” BioMed Research International 2023 (2023): 8296195, 10.1155/2023/8296195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Igwenyi I., Onodugo C., Aja P., et al., “ Azadirachta indica Fruit Juice Clears Malaria Parasites and Replenishes Blood Levels in Plasmodium berghei‐Infected Mice,” Phytomedicine Plus 4 (2024): 100615. [Google Scholar]
  • 6. Jazy M.‐A., Karim S., Morou B., Sanago R., and Mahamane S., “Enquête Ethnobotanique Auprès Des Tradipraticiens De Santé Des Régions De Niamey Et Tillabéri Au Niger: Données 2012–2017,” European Scientific Journal 13 (2017): 276–304, 10.19044/esj.2017.v13n33p276. [DOI] [Google Scholar]
  • 7. Bero J., Frédérich M., and Quetin‐Leclercq J., “Antimalarial Compounds Isolated From Plants Used in Traditional Medicine,” Journal of Pharmacy and Pharmacology 61 (2009): 1401–1433, 10.1211/jpp/61.11.0001. [DOI] [PubMed] [Google Scholar]
  • 8. Ishaya Y., Mankilik M., and Idoko E., “Anti‐Plasmodial Activity of Chloroform Leaf Extract of Eucalyptus Camaldulensis in Mice,” African Journal of Biomedical Research 22 (2019): 303–307, https://www.ajol.info/index.php/ajbr/article/view/202105. [Google Scholar]
  • 9. Anigboro A., Avwioroko O., and Cholu C., “Phytochemical Constituents, Antimalarial Efficacy, and Protective Effect of Eucalyptus camaldulensis Aqueous Leaf Extract in Plasmodium berghei‐Infected Mice,” Preventive Nutrition and Food Science 25 (2020): 58–64, 10.3746/pnf.2020.25.1.58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Titanji V., Zofou D., and Ngemenya M., “The Antimalarial Potential of Medicinal Plants Used for the Treatment of Malaria in Cameroonian Folk Medicine,” African Journal of Traditional, Complementary and Alternative Medicines 5 (2008): 302–321, https://journals.athmsi.org/index.php/ajtcam/article/view/424. [PMC free article] [PubMed] [Google Scholar]
  • 11. Ruiz L., Ruiz L., Maco M., et al., “Plants Used by Native Amazonian Groups From the Nanay River (Peru) for the Treatment of Malaria,” Journal of Ethnopharmacology 133 (2011): 917–921, 10.1016/j.jep.2010.10.039. [DOI] [PubMed] [Google Scholar]
  • 12. Jansen O., Angenot L., Tits M., et al., “Evaluation of 13 Selected Medicinal Plants From Burkina Faso for Their Antiplasmodial Properties,” Journal of Ethnopharmacology 130 (2010): 143–150, 10.1016/j.jep.2010.04.032. [DOI] [PubMed] [Google Scholar]
  • 13. Traoré M., Guiguemdé A., Yago I., et al., “Investigation of Antiplasmodial Compounds From Two Plants, Cochlospermum tinctorium A. rich and Gardenia sokotensis Hutch,” African Journal of Traditional, Complementary and Alternative Medicines 3 (2006): 34–41, 10.4314/ajtcam.v3i4.31175. [DOI] [Google Scholar]
  • 14. Geng P., Sun J., Zhang M., Li X., Harnly J., and Chen P., “Comprehensive Characterization of C‐Glycosyl Flavones in Wheat (Triticum aestivum L.) Germ Using UPLC‐PDA‐ESI/HRMS n and Mass Defect Filtering,” Journal of Mass Spectrometry 51 (2016): 914–930, 10.1002/jms.3803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Ablajan K., Abliz Z., Shang X., He X., Zhang R., and Shi J., “Structural Characterization of Flavonol 3,7‐Di‐O‐Glycosides and Determination of the Glycosylation Position by Using Negative Ion Electrospray Ionization Tandem Mass Spectrometry,” Journal of Mass Spectrometry 41 (2006): 352–360, 10.1002/jms.995. [DOI] [PubMed] [Google Scholar]
  • 16. Hamad K., Sabry M., Elgayed S., Shabrawy A., Fishawy A., and Jaleel G., “Anti‐Inflammatory and Phytochemical Evaluation of Combretum Aculeatum Vent Growing in Sudan,” Journal of Ethnopharmacology 242 (2009): 112053, 10.1016/j.jep.2019.112052. [DOI] [PubMed] [Google Scholar]
  • 17. EMA , Committee for Medicinal Products for Human Use (CHMP) Guideline on Bioanalytical Method Validation (EMA, 2009), https://www.ema.europa.eu/en/documents/scientific‐guideline/draft‐guideline‐validation‐bionanalytical‐methods_en.pdf. [Google Scholar]
  • 18. Lagnika L., Weniger B., Sénécheau C., and Sanni A., “Antiprotozoal Activities of Compounds Isolated From Croton lobatus L.,” African Journal of Infectious Diseases 3 (2010): 1–5, 10.4314/ajid.v3i1.55070. [DOI] [Google Scholar]
  • 19. Devi G., Gorki V., Walter N., et al., “Exploring the Efficacy of Ethnomedicinal Plants of Himalayan Region Against the Malaria Parasite,” Journal of Ethnopharmacology 321 (2024): 117394, 10.1016/j.jep.2023.117394. [DOI] [PubMed] [Google Scholar]
  • 20. Mavondo G., Mkhwananzi B., and Mabandla M., “Pre‐Infection Administration of Asiatic Acid Retards Parasitaemia Induction in Plasmodium berghei Murine Malaria Infected Sprague‐Dawley Rats,” Malaria Journal 15 (2016): 226, 10.1186/s12936-016-1278-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Baldé M., Tuenter E., Matheeussen A., et al., “Bioassay‐Guided Isolation of Antiplasmodial and Antimicrobial Constituents From the Roots of Terminalia albida ,” Journal of Ethnopharmacology 267 (2021): 113624, 10.1016/j.jep.2020.113624. [DOI] [PubMed] [Google Scholar]
  • 22. Montenegro H., Gonzalez J., Ortega‐Barria E., and Cubilla‐Rios L., “Antiprotozoal Activity of Flavonoid Glycosides Isolated From Clidemia sericea. and Mosquitoxylon jamaicense ,” Pharmaceutical Biology 45 (2007): 376–380, 10.1080/13880200701214821. [DOI] [Google Scholar]
  • 23. Zofou D., Tene M., Tane P., and Titanji V., “Antimalarial Drug Interactions of Compounds Isolated From Kigelia africana (Bignoniaceae) and Their Synergism With Artemether, Against the Multidrug‐Resistant W2mef Plasmodium falciparum Strain,” Parasitology Research 110 (2011): 539–544, 10.1007/s00436-011-2519-9. [DOI] [PubMed] [Google Scholar]
  • 24. Matile H., Richard J., and Pink L., “Plasmodium Falciparum Malaria Parasite Cultures and Their use in Immunology,” Immunological Methods 15 (1990): 221–234, 10.1016/B978-0-12-442704-4.50021-9. [DOI] [Google Scholar]
  • 25. Räz B., Iten M., Grether‐Bühler Y., Kaminsky R., and Brun R., “The Alamar Blue® Assay to Determine Drug Sensitivity of African Trypanosomes (T.b. rhodesiense and T.b. gambiense) In Vitro,” Acta Tropica 68 (1997): 139–147, 10.1016/S0001-706X(97)00079-X. [DOI] [PubMed] [Google Scholar]
  • 26. Cunningham I., “New Culture Medium for Maintenance of Tsetse Tissues and Growth of Trypanosomatids*,” Journal of Protozoology 24 (1977): 325–329, 10.1111/j.1550-7408.1977.tb00987.x. [DOI] [PubMed] [Google Scholar]
  • 27. Ahmed S., Gogal R., and Walsh J., “A New Rapid and Simple Non‐Radioactive Assay to Monitor and Determine the Proliferation of Lymphocytes: An Alternative to [3H]Thymidine Incorporation Assay,” Journal of Immunological Methods 170 (1994): 211–224, 10.1016/0022-1759(94)90396-4. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supporting Information

Data Availability Statement

Data are available on request from the authors.


Articles from Chemistry & Biodiversity are provided here courtesy of Wiley

RESOURCES