Role of Guinea Pigs (Cavia porcellus) Raised as Livestock in Ecuadorian Andes as Reservoirs of Zoonotic Yeasts

Guinea pigs (Cavia porcellus) have been reared for centuries in the Andean region for ceremonial purposes or as the main ingredient of traditional foods. The animals are kept in close proximity of households and interact closely with humans; this also occurs in western countries, where guinea pigs are considered pets. Even though it is acknowledged that domestic animals carry pathogenic yeasts in their tissues and organs that can cause human diseases, almost nothing is known in the case of guinea pigs. In this work we used traditional microbiological approaches and molecular biology techniques to isolate, identify, and characterize potentially zoonotic yeasts colonizing the nasal duct of guinea pigs raised as livestock in Southern Ecuador (Cañar Province). Our results show that 44% of the 100 animals studied were colonized in their nasal mucosa by at least eleven yeast species, belonging to eight genera: Wickerhamomyces, Diutina, Meyerozyma, Candida, Pichia, Rhodotorula, Galactomyces, and Cryptococcus. Noticeably, several isolates were insensitive toward several antifungal drugs of therapeutic use, including fluconazole, voriconazole, itraconazole, and caspofungin. Together, our results emphasize the threat posed by these potentially zoonotic yeasts to the farmers, their families, the final consumers, and, in general, to public and animal health.

Interrelación de índices de resistencia y sensibilidad a la insulina con variables antropométricas y metabólicas de mujeres del tercer trimestre de embarazo y recién nacido a término / Relationship between insulin resistance and sensibility indexes with anthropometrics and metabolic parameters in third trimester of pregnant women and normal term newborns

Objetivo: Evaluar la interrelación de índices de resistencia y sensibilidad a la insulina con variables antropométricas y metabólicas de mujeres del tercer trimestre de embarazo y RN a término. Métodos: Este estudio transversal evaluó 52 mujeres sanas en el tercer trimestre del embarazo y 52 reciénnacidos (RN) a término. Se evaluaron peso corporal pregestacional y ganancia durante el embarazo (Δpeso). Se estimó el peso fetal (PFE), circunferencia abdominal fetal (CAF) y grosor placentario por ultrasonido. Se registró peso, talla y circunferencia abdominal (CA) del RN y peso placentario. Se realizó lipidograma, glucosa e insulina en ayunas en el suero de la madre y cordón umbilical. Se calcularon los índices lipídicos y de resistencia y sensibilidad a la insulina. Resultados: El Δpeso materno se correlacionó positivamente con PFE y peso del RN (r=0,32, p<0,02; r=0,32, p<0,05). El HOMA-R del RN se relacionó positivamente con CT (r=0,46; p<0,01) y TG (r=0,52; p<0,0001). El índice TG/C-HDL del RN se correlacionó positivamente con índices HOMA-R y TG/C-HDLmat (r=0,31, p=0,03; r=0,35, p=0,01). El peso pregestacional, materno final, placentario y TG maternos fueron significativamente más altos en los RN de mayor peso. Los índices TG/C-HDLmat y HOMA-Rmat se relacionaron inversamente con los índices QUICKImat y HOMA-Smat (p<0,01). Conclusiones: La cuantificación de los índices TG/C-HDL, HOMA-R, HOMA-S y QUICKI en el tercer trimestre del embarazo, puede tener utilidad potencial para identificar mujeres con riesgo alto para desarrollar complicaciones metabólicas en el embarazo.

Objective: To evaluate the relationship between insulin resistance and sensibility indexes with anthropometrics and metabolic parameters in third trimester of pregnant women and normal term newborns. Methods: In this cross-sectional study, 52 normal pregnant women in third trimester and 52 term born were assessed. Pre-gestational body weight, blood pressure and pregnancy weight gain (Δ-weight) were registered. Estimated fetal weight (EFW) and abdominal circumference (AFC) and placental gross were evaluated by ultrasound. Placental and newborn body weight, height and abdominal circumference were registered. Serum lipids, glucose and insulin concentrations were measured in fasting women and cord blood. Placental weight was registered. Lipids and insulin resistance and sensibility indexes were calculated. Results: Δ-weight was significant and positively correlated with EFW and newborn body weight (r=0,32, p<0,02; r=0,32; p<0,05). Newborn HOMA-R was positively correlated with total cholesterol (TC) (r=0,46; p<0,01) and triglycerides serum concentration (r=0,52; p<0,0001). TG/C-HDL index was positively correlated with HOMA-R and maternal TG/C-HDL(r=0,31, p=0,03; r=0,35, p=0,01). Pre-gestational weight, term weight, placental and serum maternal triglycerides were significantly higher in newborns with higher body weight group. Maternal TG/C-HDL and HOMA-R were negatively related with maternal QUICKI and HOMA-S (p<0,01). Conclusions: The quantification of TG/C-HDL, HOMA-R, HOMA-S QUICKI indexes in pregnant women during third trimester could be potentially useful to identify pregnant women at high risk of developing metabolic complications during pregnancy.

Índice trigliceridos/cHDL en el embarazo: Interrelación con índices de resistencia a la insulina y antropometría fetal

Objetivo: Determinar la interrelación entre el índice triglicéridos/colesterol de la lipoproteína de alta densidad (TG/cHDL) y los índices HOMA homeostasis model assessment (HOMA IR) y QUICKI (Quantitative Insulin Sensitivity Index) y antropometría fetal, en mujeres embarazadas sanas. Métodos: Este estudio transversal evaluó 91 mujeres embarazadas sanas en edad de 18-41 años; de acuerdo a la edad gestacional se categorizaron en 3 grupos: primer trimestre (TI, n= 29); segundo trimestre (TII, n=32) y tercer trimestre (TIII, n =30). Se realizó una prueba de tolerancia a la glucosa oral (75g). Se cuantificaron glucosa, insulina, triglicéridos (TG), colesterol total (CT) y colesterol de alta densidad (cHDL). Se calculó el colesterol no-HDL y los índices TG/cHDL, HOMA IR y QUICKI. Se registró el peso del recién nacido y la altura uterina (AU); por ultrasonido se determinaron la circunferencia abdominal fetal (CAF) y el peso estimado fetal (PEF). Resultados: La concentración plasmática de TG, colesterol, cLDL, colesterol no-HDL, e índices TG/cHDL, HOMA IR y QUICKI fueron significativamente más altos en el segundo y tercer trimestre respecto al primer trimestre. En el total de la muestra, tanto el índice TG/cHDL como el colesterol no-HDL mostraron una correlación positiva con el IMC pre-gestacional (r = 0.30, p<0,01; r = 0,26. P<0,05 respectivamente), CAF (r=0,38, p<0,05; r = 0,50, p<0,01 respectivamente), PEF (r = 0,39, p<0,01; r = 0,50, p<0,01 respectivamente) y AU (r= 0,485, p<0,001). Conclusión: Se confirma la dislipidemia del embarazo y se demuestra que el aumento en el índice TG/cHDL y del colesterol no-HDL está relacionado con el peso pre gestacional y la antropometría fetal.

Objective: to determine the relationship between triglycerides/high density lipoprotein cholesterol (TG/HDLc) index and indexes HOMAIR (Homeostasis Model assessment) y QUICKI (Quantitative Insulin Sensitivity Check Index) and fetal anthropometrics in healthy pregnant women. Methods: This cross-sectional study evaluated 91 healthy pregnant women aged 16-41 yr, categorized by gestational age: first trimester (TI, n = 29); second trimester (TII, n = 32); third trimester (TIII, n = 30). Oral glucose tolerance test (75g) was performed. Plasma concentrations of glucose, insulin, triglyceride (TG), total cholesterol (TC) and HDLc were measured. Low density lipoprotein cholesterol (LDLc), no-HDLc, TG/HDLc index, HOMA IR and QUICKI were calculated. Fetal abdominal circumference (FAC) and estimated fetal body weight (EFBW) were evaluated by abdominal ultrasound; uterine height (UH), blood pressure and birth weight were registered. Results: Mean plasma TG, total cholesterol, LDLc, no-HDLc and TG/HDLc, HOMA IR and QUICKI indexes were significantly higher in TII and TIII compared to TI. In all women analysis, both TG/HDLc and no-HDLc showed a significant correlation with pregestational body mass index (BMI) (r = 0.30, p<0,01; r = 0,26, p<0,05 respectively), FAC (r= 0,38, p<0,05; r = 0,50,, p<0,01 respectively), EFBW (r = 0,39, p<0,01; r = 0,50, p<0,05 respectively) and UH (r= 0,485, p<0,001). Conclusions: our results confirm dislipidemia in pregnancy; the increased values of TG/HDLc and no-HDLc, are related with pre-gestational BMI and fetal anthropometrics.

Efecto de la combinación fija de Vildagliptina/Metformina o Sitagliptina/Metformina sobre la lipemia postprandial en pacientes con diabetes tipo 2

Objetivo: evaluar el efecto de la combinación fija de vildagliptina o sitagliptina con metformina sobre la lipemia postprandial (PP) en pacientes con diabetes tipo 2 (DM2) previamente tratados solo con metformina. Métodos: cincuenta y siete pacientes con DM2 tratados con metformina y dieta, con valores de HbA1c entre 6,5-8,5% participaron en estudio aleatorizado, doble ciego de 8 semanas. Los participantes recibieron una carga oral de grasa antes y después de 8 semanas de la administración aleatorizada de combinación fija vildagliptina/metformina(grupo 1; n=29) o sitagliptina/metformina (grupo2; n = 28). Muestras de sangre se tomaron basalmente y a intervalos de 2 horas durante 8 horas después de la ingestión de la carga grasa. Resultados: la respuesta PP integrada de triglicéridos (AUC-TG) disminuyó en el 76% de los pacientes del grupo 1 y en el 64% del grupo 2. El perfil lipídico en ayunas no mostró cambios significativos post tratamiento. La glucosa en ayunas y 2h PP y la HbA1c disminuyeron significativamente en ambos grupos (p<0,01) acompañado de una disminución del IMC y la presión arterial (p<0,01). No se observaron efectos adversos. Conclusiones: además de mejorar el control glucémico, el tratamiento con combinación fija de vildagliptina/metformina o sitagliptina/metformina tiene un efecto beneficioso similar sobre la lipemia PP, lo cual es importante para mejorar el riesgo cardiometabólico de los pacientes con DM2.

Objective: to assess the effect of fixed combination of vildagiptin/metformin and sitagliptina/ metformin on postprandiallipemia (PP) in patients with type 2 diabetes mellitus (DM2). Methods: fifty-seven patients with DM2 previously treated with metformin and diet and HbA1c between 6,5-8,5% participated in a 8 weeks randomized, double blind study. An oral fat load was performed at baseline and 8 weeks after treatment with fixed combination of vildagliptin/metformin (grupo 1; n=29) or sitagliptin/metformin (group 2; n=28) twice a day. Blood samples were taken at baseline and at 2 hours interval during 8 hours after oral fat load. Results: integrated postprandial triglyceride response (AUC-TG) decreased in 76% of patients of group 1 and 64% of group 2. Fasting lipoprotein profile did not show significant changes post treatment. Both fasting and 2h postprandial glucose and HbA1c showed a significant decrease in both groups, in association with a decrease of body mass index and blood pressure (p<0,001). No adverse effects were observed. Conclusions: besides improving glucose control, fixed combination of vildagliptin/metformina or sitagliptina/metformin treatment has a beneficial effect postprandial lipemia which is important to improve the cardiometabolic risk of type 2 patients.