The Tolerance of Organic Formula Milk and Its Fecal Microbiome Characteristic in Infants

All the guardians or parents of the participants in this study will be interviewed in order to record the dietary and sign for inform consent. Parents will be given a journal to record the participant's diet, any sign of colic on subjects, quality of sleep, and wellbeing. All the participants will be fed organic formula milk as a part of their dietary for 12 weeks. Before feeding the formula, the nutritional status will be measured and the participant's fecal will be collected for microbiome and short chain fatty acid (SCFA) examination. Every month the parents will be called in order to assess for child's sickness, allergy, body weight, length, head circumference, and to review their journal. A visit follow up will be done before and after the study, the tolerance, nutritional status (including body mass index) and fecal collection for all subjects will be performed. The investigators will also collect the allergy related data. Each fecal examination will follow a strict cold chain procedure, each sample will be collected directly, bottled, and frozen to minimize error. The frozen samples will be transported in insulated bags with frozen ice blocks before being transferred to -80°C for storage. A statistical analysis will be performed using r program and STATA 13.0. The Normality of data distribution will be tested using the Shapiro-Wilk test. To evaluate potential associations between factors in relation to fecal microbiome or SCFAs, Spearman's rank correlations will be calculated. A p-value \<0.05 will be considered significant. The model will be adjusted for potential confounders. Estimated associations will be described as odds ratios (ORs) with 95% confidence intervals (CIs). The non-parametric Wilcoxon test for paired samples will be used to compare different laboratory parameters at different times of collecting samples. The Mann-Whitney U test for unpaired samples will be applied to compare different categorical parameter between infants before and after treatment. Multivariable linear regressions will be done to find out the association of different parameters change before and after treatment.