Year: 2026
Type: article
Abstract: Introduction There are currently no known biomarkers associated with the diagnosis of infant colic, a common early disorder of gut brain interaction (DGBI) that has been found to predict adverse health outcomes, including atopy, migraines and other DGBIs. Infant colic manifests as unsoothable crying and is perceived to be associated with abdominal pain, differentiating it from other crying behaviors. Prior studies have postulated it may involve microbial dysbiosis as well as immunological and neurological dysregulation. The aim of our study was to investigate the associations of cord blood biomarkers at birth with parent reports of colic and excessive crying behaviors at 6 months of age. Methods We used available data from Project Viva a pre-birth cohort based in the greater Boston, MA area. All infants were born between 1999 and 2002. Results Among participants with information on infant colic and cord blood biomarkers ( n = 405), we found higher trans fatty acids and an increased abundance of Gammaproteobacteria signature in cord blood from infants with colic and those with excessive crying without colic, compared to those unaffected by colic. The majority of inflammatory and immune system cord blood biomarkers previously measured, including metabolites and cytokine stimulation, showed no association with either colic or excessive crying. Discussion This exploratory study examined cord blood biomarkers of inflammation or immune dysregulation to support the underlying mechanism of infant colic, and identified trans fatty acid levels and Gammaproteobacteria microbial signatures as possible candidate predictors. On the other hand, we also found a lack of association with most of the cord blood immune and neurological biomarkers that we assessed. In turn, we propose that colic biomarkers may be present closer to its manifestation as a clinical condition of early infancy.
Source: Frontiers in Pediatrics
Language: English
Subfield: Pharmacy
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Funder: National Institutes of Health
OpenAlex ID: W7153289173