Systematic review of the impact of ginger extract and alpinetin on pregnancy outcomes in animal models
Notice bibliographique
Résumé
BACKGROUND: The objective of this systematic review was to evaluate existing scientific evidence regarding the effectiveness and safety of preparations of bioactive compounds of the Zingiberaceae family in animal models during gestation and lactation. METHODS: A systematic protocol was registered with the Open Science Framework (OSF) ( https://doi.org/10.17605/OSF.IO/ADU68 ). The literature search was conducted on selected databases such as MEDLINE, Embase, Center for Agricultural and Biosciences International, and the International Pharmaceutical Abstracts databases. The full search strategy is included in the Supplementary Materials. Main keywords related to population included terms related to pregnancy and lactation; keywords related to intervention included key terms for alpinetin, ginger, and Zingiberaceae plants. We included maternal (i.e., dam) and neonatal (i.e., pup) outcome(s) reported in studies with ginger preparations in various forms given during pregnancy or lactation compared to placebo. Risk of bias was assessed using the Systematic Review Center for Laboratory animal experimentation (SYRCLE) risk of bias tool. RESULTS: Twelve studies published between 2000 and 2022 were included in the review. Ginger and its bioactive compounds, [6]-gingerol, [8]-gingerol, [10]-gingerol, and [6]-shogaol, were found to have protective effects against gestational and developmental toxicities. This included mitigating and preventing organ toxicity (e.g., liver and kidney), improved gestational weight gain, and improved placental function; fetal benefits included prevention of organ damage (e.g., liver, kidney, cardiac), improved fetal growth, reduced oxidative stress, and reduced death. In studies involving toxic exposures such as heavy metals and pesticides, ginger mitigated adverse effects on maternal and fetal health, improving outcomes such as placental function birth weight, and organ development (e.g., liver, kidney, cardiac). Alpinetin, a flavonoid rich in ginger plants, showed anti-inflammatory effects in lactation by reducing cytokine levels and improving mammary tissue health. Studies on fetal development reported improvements in birth weight, growth metrics, and reductions in death rates when ginger was administered at moderate doses, specifically ginger tea 20 g/L-50 g/L or gingerol 25 mg/kg/body weight. However, higher doses (specifically, 50 mg alligator pepper, 2,000 mg/kg body weight Zingiber officinale) caused adverse reproductive outcomes such as reduced weight gain (< 50%), maternal toxicity, disrupted estrous cycle, and increased fetal death. Sensitivity analysis confirmed that lower dosages of rhizome-derived ginger preparations (Zingiber officinale) (< 200 mg/kg/day) were safer. CONCLUSION: The majority of the included studies reported protective effects of lower dose Zingiberaceae preparations (< 200 mg/kg/day) on gestational and developmental toxicities in animal models. Standardization of ginger interventions and more robust study designs are needed to optimize ginger form, amounts, preparation, doses, and timing of exposures to understand how maximize benefits while minimizing potential adverse effects in animal models before such data can be translated meaningfully to humans. CLINICAL TRIAL NUMBER: Not applicable.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,045 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,012 | 0,010 |
| Bibliométrie | 0,010 | 0,009 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».