Les fruits et légumes dans l'alimentation : enjeux et déterminants de la consommation

Le rapport de l'expertise scientifique collective Inra (novembre 2007) disponible sur le site de l'Institut, comprend les 1 330 références bibliographiques des publications scientifiques citées dans le rapport.National audienceL'objectif de cette expertise (commandée par le ministère de l'Agriculture et de la Pêche à l'Inra) est d'éclairer les pouvoirs publics sur les actions à mener pour répondre au double objectif de soutien économique aux filières de production et de protection de la santé publique. À partir des recherches et des publications scientifiques, les experts ont analysé les questions suivantes : les fondements scientifiques des recommandations nutritionnelles ; les caractéristiques nutritionnelles des fruits et légumes ; la variabilité de la consommation et ses déterminants socio-économiques ; l'impact de la promotion de la consommation ; les liens entre caractéristiques des produits et fonctionnement des filières

Blood Adv

We aimed to study the prognostic impact of the mutational landscape in primary and secondary myelofibrosis. The study included 479 patients with myelofibrosis recruited from 24 French Intergroup of Myeloproliferative Neoplasms (FIM) centers. The molecular landscape was studied by high-throughput sequencing of 77 genes. A Bayesian network allowed the identification of genomic groups whose prognostic impact was studied in a multistate model considering transitions from the 3 conditions: myelofibrosis, acute leukemia, and death. Results were validated using an independent, previously published cohort (n = 276). Four genomic groups were identified: patients with TP53 mutation; patients with ≥1 mutation in EZH2, CBL, U2AF1, SRSF2, IDH1, IDH2, NRAS, or KRAS (high-risk group); patients with ASXL1-only mutation (ie, no associated mutation in TP53 or high-risk genes); and other patients. A multistate model found that both TP53 and high-risk groups were associated with leukemic transformation (hazard ratios [HRs] [95% confidence interval], 8.68 [3.32-22.73] and 3.24 [1.58-6.64], respectively) and death from myelofibrosis (HRs, 3.03 [1.66-5.56] and 1.77 [1.18-2.67], respectively). ASXL1-only mutations had no prognostic value that was confirmed in the validation cohort. However, ASXL1 mutations conferred a worse prognosis when associated with a mutation in TP53 or high-risk genes. This study provides a new definition of adverse mutations in myelofibrosis with the addition of TP53, CBL, NRAS, KRAS, and U2AF1 to previously described genes. Furthermore, our results argue that ASXL1 mutations alone cannot be considered detrimental