| Literature DB >> 26236384 |
H R Tufts1, C S Harris2, Z N Bukania3, T Johns1.
Abstract
Background. Inflammation, together with related oxidative stress, is linked with the etiology of kwashiorkor, a form of severe acute malnutrition in children. A diet rich in anti-inflammatory and antioxidant phytochemicals may offer potential for the prevention and treatment of kwashiorkor. We selected and assayed five leafy green vegetables, two wild fruits, and six medicinal plants from Kenya for their antioxidant and anti-inflammatory properties. Consensus regarding medicinal plant use was established from ethnobotanical data. Methods. Antioxidant activity and phenolic content were determined using the oxygen radical absorbance capacity (ORAC) assay and Folin-Ciocalteu procedure, respectively. Anti-inflammatory activity was assessed in vitro targeting the inflammatory mediator tumour necrosis factor-alpha (TNF-α). Results. Mangifera indica (leaves used medicinally) showed the greatest antioxidant activity (5940 ± 632 µM TE/µg) and total phenolic content (337 ± 3 mg GAE/g) but Amaranthus dubius (leafy vegetable) showed the greatest inhibition of TNF-α (IC50 = 9 ± 1 μg/mL), followed by Ocimum americanum (medicinal plant) (IC50 = 16 ± 1 μg/mL). Informant consensus was significantly correlated with anti-inflammatory effects among active medicinal plants (r (2) = 0.7639, P = 0.0228). Conclusions. Several plant species commonly consumed by Kenyan children possess activity profiles relevant to the prevention and treatment of kwashiorkor and warrant further investigation.Entities:
Year: 2015 PMID: 26236384 PMCID: PMC4510108 DOI: 10.1155/2015/807158
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
The species, consumption, antioxidant activity, and consensus values for the collected Kenyan plants.
| Family name | Plant species1 | Local name2 | Type of plant | Consumption % during wet season3 | Total phenolics4
| ORAC activity5
| Consensus value6 |
|---|---|---|---|---|---|---|---|
| Meliaceae |
| Mairobaini | Medicinal7 | 78 ± 1E | 1761 ± 243CDEF | 0.0946 | |
| Amaranthaceae |
| Muchicha | LGV | 90% | 39 ± 1G | 928 ± 43EF | |
| Brassicaceae |
| Sukuma | LGV | 42% | 48 ± 2FG | 1184 ± 78DEF | |
| Cucurbitaceae |
| Matu ma malenge | LGV | 65% | 24 ± 1H | 447 ± 71F | 0.0170 |
| Rosaceae |
| Ndunda | Wild fruit | 19% | 14 ± 2HI | 411 ± 15F | |
| Anacardiaceae |
| Maembe | Medicinal | 337 ± 3A | 5940 ± 632A | 0.0351 | |
| Lamiaceae |
| Mutaa | Medicinal | 136 ± 3C | 3190 ± 163BC | 0.1264 | |
| Lamiaceae |
| Mukandu | Medicinal | 86 ± 2DE | 1594 ± 168CDEF | 0.0591 | |
| Myrtaceae |
| Mavela | Medicinal | 258 ± 1B | 3929 ± 411B | 0.0757 | |
| Solanaceae |
| Kitulu | LGV | 55% | 92 ± 3D | 2675 ± 115BCD | |
| Fabaceae |
| Matu ma nthooko | LGV | 73% | 54 ± 3F | 1233 ± 116DEF | |
| Verbenaceae |
| Muu | Wild fruit | 24% | 7 ± 1I | 179 ± 8F | |
| Rutaceae |
| Mukenea | Medicinal | 92 ± 2D | 2414 ± 117CDE | 0.1598 |
1Species and author names from The Plant List database. 2Name of plants in Kikamba language. 3The percentage represents the average of the two wet seasons. A FFQ was used to obtain the dietary data. 4Values for total phenolics were calculated as milligrams gallic acid equivalents (GAE) per gram dry extract. 5Values for ORAC were calculated as μM Trolox equivalents (TE) per microgram dry extract. 6Consensus values for medicinal plant use by the mothers. 7All medicinal plants were used, collected, and analyzed as leaves. A–ISuperscripts represent statistical differences between plant species at P < 0.05 using an ANOVA with Scheffé post hoc analysis.
Cytotoxicity and inhibition of tumour necrosis factor-alpha production by plant extracts in THP-1 monocytes.
| Plant species | TC50
1
| Highest test concentration ( | IC50
|
|---|---|---|---|
| Medicinal plants | |||
|
| 204 ± 75 | 50 | 58 ± 2C |
|
| 100 | 169 ± 6E | |
|
| 80 ± 16 | 25 | 16 ± 1AB |
|
| 100 | 112 ± 6D | |
|
| 100 | ||
|
| 100 | 47 ± 1BC | |
| Leafy green vegetables | |||
|
| 84 ± 3 | 25 | 9 ± 1A |
|
| 100 | 111 ± 11D | |
|
| 58 ± 30 | 50 | 131 ± 4D |
|
| 114 ± 16 | 50 | |
|
| 102 ± 9 | 50 | 27 ± 5ABC |
| Wild fruits | |||
|
| 100 | ||
|
| 100 |
1TC50 is the toxic dose, or the concentration calculated to reduce cell viability by 50%. n = 4 replicates for each test concentration. 2Highest concentration tested that reduced cell viability by less than 20%. 3 n = 3 proportional groups comprised of the results for each test concentration. A–ISuperscripts represent statistical differences between plant species at P < 0.05 using an ANOVA with Scheffé post hoc analysis.
Figure 1Inhibition of TNF-α expression in THP-1 monocyte cells by selected plant extracts. Parthenolide, a potent anti-inflammatory compound, was the positive control. Results shown as the mean and the error bars as the SEM (n = 11–32).