The anti-inflammatory and antioxidant properties of Kenyan leafy green vegetables, wild fruits, and medicinal plants: potential for the health-promoting properties of biodiversity to contribute to kwashiorkor alleviation
Bibliographic record
Abstract
The etiology of kwashiorkor, a form of severe acute malnutrition in children, may be linked to inflammation and oxidative stress. Biodiversity can contribute health-promoting properties that may address the inflammation and oxidative stress seen in kwashiorkor. Six medicinal plants, five leafy green vegetables (LGV), and two wild fruits were collected from Kaiti Division, Makueni County, Eastern Province, Kenya and examined for antioxidant and anti-inflammatory properties using the oxygen radical absorbance capacity (ORAC) and total phenolics assays and a TNF-α in vitro assay, respectively. All the medicinal plants and several LGV had antioxidant and anti-inflammatory activity. A. dubius, V. unguiculata ( both LGV), O. americanum, and Z. chalybeum (medicinal plants) showed the greatest anti-inflammatory activity among the plants tested and were also widely consumed and used among the children in this study. There was a wide variety of LGV and wild fruits available in the study region, which may have contributed to the high mean food variety score (FVS) of 26 for the non-breastfed children. This study demonstrates a theoretical basis for investigating a link between health-promoting properties of biodiversity, dietary diversity, and the development of kwashiorkor for improved nutrition and health outcomes in children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".