Species distribution and antifungal susceptibility profiles of clinical and environmental Fusarium isolates from Mexico: A multicenter study.

Fusarium spp. has emerged as an opportunistic etiological agent with clinical manifestations varying from localized infections to deep-seated systemic disease. It is also a phytopathogen of economic impact. There are few reports on the species diversity of this genus, and no comprehensive studies on the epidemiology nor the antifungal susceptibility of Fusarium in Mexico. The present multicentric study aims to shed light on the species distribution and antifungal susceptibility patterns of 116 strains of Fusarium isolated from clinical and environmental samples. Isolates were identified by standard phenotypic characteristics and by sequencing of the ITS (internal transcribed spacer), TEF1 (translation elongation factor 1-α), RPB2 (RNA polymerase II core subunit), and/or CAM1 (calmodulin) regions. Susceptibility tests were carried out against 15 antifungals of clinical and agricultural use. Regarding Fusarium distribution, we identified 27 species belonging to eight different species complexes. The most frequently isolated species for both clinical and environmental samples were F. falciforme (34%), F. oxysporum sensu stricto (12%), F. keratoplasticum (8%), and F. solani sensu stricto (8%). All Fusarium isolates showed minimum inhibitory concentrations (MICs) equal to or above the maximum concentration evaluated for fluconazole, 5-fluocytosine, caspofungin, micafungin, and anidulafungin. All isolates had a MIC of ≤16 µg/mL for voriconazole, with a mode of 4 µg/mL. F. verticillioides appeared to be the most susceptible to all antifungals tested.

Relación entre composición corporal y concentración de leptina sérica en mujeres estudiantes de nivel superior / Relationship between body composition and blood leptin concentration in female college students

El objetivo del presente trabajo fué conocer la relación y la fuerza de asociación que existe entre composición corporal y la concentración sérica de leptina en una población de mujeres. Se evaluaron 60 mujeres de entre 18 y 21 años de la Benemérita y Centenaria Escuela Normal del Estado de San Luis Potosí (BECENE). Se realizaron mediciones de: perímetro de cintura y cadera, talla, peso, porcentaje de masa grasa y niveles plasmáticos de: glucosa, colesterol total, triglicéridos, HDL, LDL, leptina e insulina. El procesamiento de datos se realizó en IBM SPSS Statistics 20.0 (IBM Corp.), se utilizó estadística descriptiva, regresión lineal y regresión logística binomial, así como diferencia de medianas con una confiabilidad al 95%. La población estudiada presentó valores normales de glucemia y presión arterial media, sin embargo también se observó un 3% con hipercolesterolemia total; un 29,9% con sobrepeso/ obesidad; y un 26% con resistencia a insulina (HOMA2 IR mayor a 1.4). La mediana de leptina sérica fue de 6,49 ng/ml, donde un 30% de las mujeres se encontraban en condiciones de hiperleptinemia. Se observó una correlación significativa entre los niveles séricos de leptina y porcentaje de masa grasa, IMC, insulina sérica e índice HOMA2-IR. Por regresión logística binomial se observó que el IMC elevado aumenta la probabilidad de padecer hiperleptinemia 7,5 veces, y los niveles altos de masa grasa aumentan el riesgo 6,2 veces. El mejor predictor de hiperleptinemia fue el IMC(AU)

Sixty women aged between 18 and 21 from the Benemérita y Centenaria Escuela Normal del Estado de San Luis Potosí (BECENE) were evaluated. Body mass index, fat mass percentage, waist-hip ratio and several plasma components were analyzed: glucose, total colesterol, free tryglycerides, HDL, LDL, insulin and leptin. Data was processed by SPSS Statistics 20,0 software using descriptive statistics, binomial logistic regression with a confidence value of 95%. The population showed normal glycemic and blood pressure values, whereas a 29,9% of women were overweight/obese, 3% showed hypercholesterolemia and 29,9% showed insulin resistance (HOMA2 IR over 1.4). The median for blood leptin was 6.49 ng/ml, and 30% of women were hyperleptinemic. A positive and significant correlation was observed between blood leptin values and BMI, % fat mass, blood insulin and HOMA2-IR index. The odds ratio analyzed for BMI, showed that overweight and obesity increase 7,5 times the risk of hyperleptinemia. On the other hand, high levels of fat mass, increase by 6,2 times the risk of hyperleptinemia. So far, the best predictor for hyperleptinema is BMI(AU)