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Enregistrement W1929032179 · doi:10.1093/clinchem/46.6.887

Genistein: A Potent Natural Antiandrogen

2000· letter· en· W1929032179 sur OpenAlexaff
Rachel S Rosenberg Zand, David Jenkins, Eleftherios P. Diamandis

Notice bibliographique

RevueClinical Chemistry · 2000
Typeletter
Langueen
DomaineMedicine
ThématiquePhytoestrogen effects and research
Établissements canadiensUniversity of TorontoMount Sinai Hospital
Organismes subventionnairesnon disponible
Mots-clésAntiandrogenGenisteinMedicineChemistryInternal medicineProstate cancerCancer

Résumé

récupéré en direct d'OpenAlex

Flavonoids and other polyphenolic natural compounds have attracted much attention as candidate cancer preventive and anticarcinogenic agents, as well as antiatherogenic and antioxidant compounds (1). Although the public now consumes these compounds in substantial amounts from dietary sources, food supplements, and more recently, as “nutraceutical” tablets, their actual mode of action is not fully defined. The most compelling hypotheses correlate the biological action of flavonoids to their ability to mimic natural estrogens (2)(3) such as estradiol, or to act as antioxidants (4). Indeed, genistein, a natural soy isoflavone, is among the most potent known phytoestrogens. The ability of flavonoids to act as androgen mimics or antiandrogens has attracted much less attention. Recently, we showed that apigenin, a natural flavone found in chamomile, olive leaves, and other plant sources, has potent progestational activity (5). We have examined the possible antiandrogenic activity of genistein using the steroid hormone receptor-positive breast cancer cell line BT-474. This cell line, when stimulated by dihydrotestosterone (DHT), produces prostate-specific antigen (PSA), which is then secreted into the tissue culture supernatant and can be measured quantitatively by immunoassay. Details of this system are given elsewhere (5). To study the antiandrogenic activity, the cells were first exposed to the putative antiandrogen (10−5 to 10−8 mol/L) for 1 h and then stimulated with DHT (10−9 mol/L). Controls with only antiandrogen or only DHT were included in all experiments. Nilutamide was used as a control antiandrogen. Our data (Fig. 1 ) clearly demonstrate the potent antiandrogenic activity of genistein, which is dose-dependent and is detectable down to 10−7 mol/L. Quercetin and several other flavonoids tested were devoid of such activity (data not shown). These data clearly demonstrate for the first time that genistein exhibits potent antiandrogenic activity in addition to its well-established estrogenic activity. Indeed, the therapeutic potential of this compound in prostate cancer patients may be related to its combined estrogenic and antiandrogenic properties. It will be interesting to examine large numbers of natural compounds for antiandrogenic activity, which may qualify them as candidate therapeutic and preventive agents for prostate, breast, and possibly other hormonally dependent cancers. Percentage of blocking of DHT, as measured by PSA production, by genistein, quercetin, and nilutamide. BT-474 human breast cancer cells were grown to confluency in phenol-free RPMI (Life Technologies) supplemented with 100 mL/L fetal calf serum, 10 g/L insulin, and 200 mmol/L l-glutamine at 37 °C in 5% CO2. Once confluent, they were subcultured in 24-well microtiter plates using the same medium but with substitution of charcoal-stripped fetal calf serum for the regular fetal calf serum. The cells were stimulated with candidate blocker [genistein (♦), quercetin (▦), or nilutamide (▵)], blocker and steroid (DHT), or steroid alone. Blockers were tested at concentrations of 10−5 to 10−8 mol/L, and DHT was used at 10−9 mol/L. For the cells stimulated with blocker and steroid, the blocker was added first and incubated for 1 h; the cells were then stimulated with steroid. Alcohol was used as a negative control. The plates were then incubated for 7 days, at which time the tissue supernatants were harvested. The supernatants were then analyzed quantitatively for PSA. Blocking activity was assessed by dividing the amount of PSA produced by the candidate blocker + steroid and by steroid alone and multiplying by 100. None of the candidate blockers induced any PSA production when added alone.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0080,005
Charge utile insuffisante (le modèle a refusé de juger)0,0040,006

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.

Tête enseignante Opus0,043
Tête enseignante GPT0,379
Écart entre enseignants0,337 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations23
Publié2000
Routes d'admission1
Résumé présentoui

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