Genetic Determinants of Micronutrient Metabolism and Premenstrual Symptoms
Notice bibliographique
Résumé
Background: Premenstrual symptoms are a set of psychological and somatic symptoms experienced during the luteal phase of the menstrual cycle by up to 90% of females of reproductive age. The evidence on the efficacy of dietary supplements for premenstrual symptoms has been inconsistent. These inconsistencies may be due to unaccounted genetic differences in micronutrient metabolism. Objective: To determine the association between iron, vitamin C, folate and magnesium and premenstrual symptoms by assessing dietary intakes, genetic determinants of metabolism, and diet-gene interactions for each micronutrient. Methods: Subjects were around 678 young females from the Toronto Nutrigenomics and Health Study. HFE (rs1800562 and rs1799945), TMPRSS6 (rs482026), TFR2 (rs3811647), TF (rs738584), GSTT1 (Ins/Del), MTHFR (rs1801133), and TRPM6 (rs11144134) were genotyped. Fifteen premenstrual symptoms were self-reported by all female participants. Serum ascorbic acid was assessed from fasting blood. Dietary intake for iron, vitamin C, folate and magnesium was captured using a 196-item validated Toronto modified Harvard food frequency questionnaire. Logistic regression was used to assess all associations. Results: Women with an elevated risk of iron overload were less likely to experience premenstrual confusion, headaches, and nausea. Increased vitamin C intake was associated with premenstrual appetite changes. Compared to deficient ascorbic acid levels, suboptimal levels were associated with premenstrual appetite changes and bloating/swelling. Women with the GSTT1 functional variant (Ins*Ins) had an increased risk of premenstrual bloating/swelling. We also found that among women with lower folate intake and those with the TC genotype of MTHFR had increased odds of reporting premenstrual confusion/difficulty concentrating/forgetfulness and depression, compared to those with the CC genotype. Those with the TT genotype of MTHFR also had a higher risk of reporting premenstrual depression. Magnesium intake was associated with lower premenstrual depression and confusion. Conclusions: We found that iron overload was inversely associated with premenstrual nausea, headaches, and confusion and vitamin C biomarkers were positively associated with increased appetite. We also found that genetic markers of low folate by MTHFR genotype and magnesium intake was associated with increased premenstrual depression and confusion, and magnesium intake was inversely associated with premenstrual depression and confusion.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».