Alimentos funcionales, alfalfa y fitoestrógenos

Functional food development has been increased during the last years due to the population interest in foods that have not only a nutritional function but a health benefit as well reducing the risk of suffering several diseases. Alfalfa has been intended as cattle feed, although several investigations have reported that alfalfa contains bioactive compounds –phytochemicals- proteins with an estrogenic effect, and antimicrobial and antioxidant compounds, being classified as a functional food with protection against cancer, diabetes and cardiovascular and other diseases. The aim of the present study is to offer a general information outline, through a bibliographic review, of functional foods status, focusing on alfalfa and its phytochemicals (phytoestrogens), compounds that give it its functional food character and its adverse effects shown in the reproductive system of experimental animals as well. Such dichotomy between adverse and beneficial effects is the sign that shows that it is needed more information and more studies to be done in order to establish the effect of phytoestrogens in the development and reproductive function in animals, its agonistic and antagonistic effect and risk-benefit balance in its consumption.El desarrollo de alimentos funcionales en los últimos años ha ido en aumento debido principalmente, al interés de la población por alimentos que no solo cumplan con la función nutricional sino también por que tengan un efecto benéfico en salud reduciendo así el riesgo a padecer diversas enfermedades. La alfalfa ha sido generalmente un alimento destinado para la alimentación del ganado, sin embargo, en diversas investigaciones alrededor del mundo se ha reportado que contiene compuestos bioactivos –fitoquímicos– y proteínas con efecto estrogénico, antimicrobiano y antioxidante, así como también protector contra enfermedades cardiovasculares, cáncer y diabetes, entre otras, clasificándola potencialmente como un alimento funcional. El presente documento tiene como objetivo dar un bosquejo general informativo a través de la búsqueda y revisión bibliográfica acerca de los alimentos funcionales y en especial de la alfalfa y constituyentes fitoquímicos (fitoestrógenos) que la ubican dentro de este grupo de alimentos; así como los hallazgos que se han reportado como efectos adversos en animales experimentales específicamente en el aparato reproductivo debido al consumo de este tipo de fitocompuestos. Esta dicotomía entre los efectos adversos y benéficos no es más que la señalización de que aún falta mucha más información y estudios que realizar respecto al resultado que pueden tener los fitoestrógenos en el desarrollo y función reproductiva de animales, el agonismo y antagonismo de su efecto así como la concordancia en el riesgo-beneficio de su consumo

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

Measurement of the radius dependence of charged-particle jet suppression in Pb–Pb collisions at sNN=5.02\sqrt{s_{\rm NN}} = 5.02 TeV

The ALICE Collaboration reports a new differential measurement of inclusive jet suppression using pp and Pb–Pb collision data at center-of-mass energy per nucleon–nucleon collision $\sqrt{s_{\rm NN}} = 5.02$ TeV. Charged-particle jets are reconstructed using the anti-$k_{\rm T}$ algorithm with resolution parameters $R$ = 0.2, 0.3, 0.4, 0.5, and 0.6 in pp collisions and $R$ = 0.2, 0.4, 0.6 in central (0–10\%), semi-central (30–50\%), and peripheral (60–80\%) Pb–Pb collisions. The analysis uses a novel approach based on machine learning to mitigate the influence of jet background in central heavy-ion collisions, which enables measurements of inclusive jet suppression for jet $p_{\rm T} \ge 40$ GeV/$c$ in central collisions at a resolution parameter of $R$ = 0.6. This is the lowest value of jet $p_{\rm T}$ achieved for inclusive jet measurements at $R$ = 0.6 at the LHC, and is an important step for discriminating different models of jet quenching in the quark-gluon plasma. The transverse momentum spectra, nuclear modification factors, and derived cross section and nuclear modification factor ratios for different jet resolution parameters of charged-particle jets are presented and compared to model predictions. A mild dependence of the nuclear modification factor ratios on collision centrality and resolution parameter is observed. The results are compared to a variety of jet quenching models with varying levels of agreement, demonstrating the effectiveness of this observable to discriminate between models.The ALICE Collaboration reports a new differential measurement of inclusive jet suppression using pp and Pb$-$Pb collision data at center-of-mass energy per nucleon-nucleon collision $\sqrt{s_{\rm NN}} = 5.02$ TeV. Charged-particle jets are reconstructed using the anti-$k_{\rm T}$ algorithm with resolution parameters $R =$ 0.2, 0.3, 0.4, 0.5, and 0.6 in pp collisions and $R =$ 0.2, 0.4, 0.6 in central (0$-$10%), semi-central (30$-$50%), and peripheral (60$-$80%) Pb$-$Pb collisions. The analysis uses a novel approach based on machine learning to mitigate the influence of jet background in central heavy-ion collisions, which enables measurements of inclusive jet suppression for jet $p_{\rm T} \geq 40$ GeV/$c$ in central collisions at a resolution parameter of $R = 0.6$. This is the lowest value of jet $p_{\rm T}$ achieved for inclusive jet measurements at $R=0.6$ at the LHC, and is an important step for discriminating different models of jet quenching in the quark-gluon plasma. The transverse momentum spectra, nuclear modification factors, and derived cross section and nuclear modification factor ratios for different jet resolution parameters of charged-particle jets are presented and compared to model predictions. A mild dependence of the nuclear modification factor ratios on collision centrality and resolution parameter is observed. The results are compared to a variety of jet quenching models with varying levels of agreement, demonstrating the effectiveness of this observable to discriminate between models