Kwak EK, et al. J Menopausal Med. 2014 Dec;20(3):118-125. http://dx.doi.org/10.6118/jmm.2014.20.3.118

Objectives: Human milk oligosaccharides (HMOs) are known as important factors in neurologic and immunologic development of neonates. Moreover, freeze-drying seems to be a promising storage method to improve the processes of human milk banks. However, the effects of pasteurization and freeze-drying on HMOs were not evaluated yet. The purpose of this study is to analyze and compare the HMOs profiles of human milk collected before and after the pasteurization and freeze-drying. Methods: Totally nine fresh human milk samples were collected from three healthy mothers at the first, second, and third week after delivery. The samples were treated with Holder pasteurization and freeze-drying. HMOs profiles were analyzed by matrix-assisted laser desorption/ionization (MALDI) time-of-flight/time-of-flight (TOF/TOF) mass spectrometry and compared between samples collected before and after the treatments. Results: Human milk samples showed significantly different HMO patterns between mothers. However, HMOs were not affected by lactation periods within 3 weeks after delivery (r² = 0.972–0.999, p < .001). Moreover, both of pasteurization and freeze-drying were found not to affect HMO patterns in a correlation analysis (r² = 0.989–0.999, p < .001). Conclusion: HMO patterns were found not to be affected by pasteurization and freeze-drying of donor milks. We hope that introducing freeze-drying to the human milk banks would be encouraged by the present study. However, the storage length without composition changes of HMOs after freeze-drying needs to be evaluated in the further studies.

The purpose of this study was to determine the levels of trace metals in the blood of the general Korean population. A total of 258 healthy individuals, according to their regular medical check-ups, (119 males and 139 females, age ranging from 12 to 78 years old) were enrolled from December 2014 to December 2016. Levels of 10 trace elements were determined using inductively coupled plasma mass spectrometry (ICP-MS). The geometric mean (GM) levels for lead, arsenic, cesium, mercury, aluminum, cadmium, copper, manganese, selenium, and zinc were 15.97 μg/L, 7.19 μg/L, 2.39 μg/L, 3.41 μg/L, 10.57 μg/L, 0.78 μg/L, 979.8 μg/L, 11.06 μg/L, 111.37 μg/L, and 872.7 μg/L, respectively. There were significant gender-related differences in the levels of several metals; male individuals had higher Pb, As, Cs, Hg, and Se than females, while females had higher Cd, Cu, and Mn than males. We noticed remarkably high blood levels of Hg, As and Al in the Korean population. The element concentrations reported represent a new contribution to the knowledge of the blood chemistry for the Korea population. The data can be used to assess the clinical health of this population.

Objective: The purpose of this study is to analyze the macronutrient of human milk (HM) and to find out the various maternal–infantile factors that can affect HM composition. Methods: 478 HM samples were collected from healthy and exclusively breast-feeding mothers who delivered healthy term neonates within 3 months. Macronutrient of the samples was analyzed and the birth data were collected. Results: In multivariate logistic regression analysis, various maternal–infantile factors were found to be associated with HM composition changes; higher fat: cesarean section (OR = 2.47, p < 0.001) and birth height (OR = 0.84, p = 0.004); higher protein: postpartum age (OR = 0.89, p < 0.001); higher carbohydrate: vaginal delivery (OR = 0.50, p = 0.005) and female infant (OR = 0.56, p = 0.012); higher calorie: postpartum age (OR = 0.95, p = 0.003), female infant (OR = 0.33, p = 0.017), and birth height (OR = 0.74, p < 0.001). Female infant (OR = 0.36, p = 0.029), birth height (OR = 0.73, p = 0.001), and postpartum age (OR = 0.95, p = 0.005) were found as independent risk factors for higher HM calorie. Conclusion: Various maternal–infantile factors were found to affect HM composition. Interestingly, delivery mode, gender of infant, and birth height were associated with changes in HM macronutrient as well as postpartum age.

Purpose: We evaluated the association between macronutrients of human milk (HM), and interactions between maternal age and body mass index(BMI) in matched conditions. Material and methods: Totally, 80 HM samples were collected from healthy breast-feeding mothers at fourth week of lactation. HM macronutrients and maternal data were analyzed. Mothers were subgrouped into four groups by maternal age (20 s/30 s) and BMI (overweight/normal). Results: Two-way ANOVA revealed significant interactions between age and BMI to affect macronutrients; fat, carbohydrate, and calories. Moreover, different responses of fat and calorie to BMI were found in different age groups. Conclusions: The evaluation of over- or under-weighted infants warrants considering both of maternal age and BMI.