From Our 2013 Archives
Bacteria in Baby's Belly May Influence Growth, Study Says
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THURSDAY, May 9 (HealthDay News) -- Infants' early growth is influenced by the types of bacteria in their digestive system, a new study says.
A variety of bacteria quickly populate the sterile digestive tract of a newborn. Norwegian researchers identified connections between specific types of bacteria and infant growth rates.
For their study, published May 9 in the journal PLoS Computational Biology, the researchers examined stool samples from 218 babies and developed a method to identify specific points in time when the presence of certain bacteria is associated with growth.
For example, the study found that detection of Bacteroides species when a male infant is 30 days old is significantly associated with reduced growth. In contrast, the presence of E. coli species between ages 4 days to 1 month is linked with normal growth in male and female infants.
"We have created a new way of looking at the development of gut microbiota [the body's microbial ecosystem] over time and relating this development to health outcomes," the researchers wrote in a journal news release.
"This is useful to the scientific community as it is difficult to characterize, in a meaningful way, how the gut develops over time," according to principal investigator Dr. Merete Eggesbo, of the Norwegian Institute of Public Health, and colleagues.
"After applying our new method, we found an indication that the composition of early life gut microbiota may be associated with how fast or slow babies grow in early life although there is also the possibility that factors early in life affect both gut microbiota and how fast the baby grows," the authors explained.
In other words, although the study found an association between gut bacteria and babies growth rates, it did not prove a cause-and-effect relationship.
Knowing how the ideal composition of gut microbiota develops over time is necessary in order to make changes to it, the researchers said.
-- Robert Preidt
SOURCE: PLoS Computational Biology, news release, May 9, 2013