4.6 Article

Human milk oligosaccharide 2'-fucosyllactose links feedings at 1 month to cognitive development at 24 months in infants of normal and overweight mothers

Journal

PLOS ONE
Volume 15, Issue 2, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0228323

Keywords

-

Funding

  1. National Institute of Diabetes and Digestive and Kidney Diseases
  2. Gerber Foundation [15PN-013]

Ask authors/readers for more resources

Background Infant cognitive development is influenced by maternal factors that range from obesity to early feeding and breast milk composition. Animal studies suggest a role for human milk oligosaccharide (HMO), 2'-fucosyllactose (2'FL), on learning and memory, yet no human studies have examined its impact on infant cognitive development relative to other HMOs and maternal factors. Objective To determine the impact of 2'FL from breast milk feeding on infant cognitive development at 24 months of age relative to maternal obesity and breast milk feeding frequency. Methods and materials Hispanic mother-infant pairs (N = 50) were recruited across the spectrum of pre-pregnancy BMI. Breast milk was collected at 1 and 6 months, and feedings/day were reported. Nineteen HMOs were analyzed using high-performance liquid chromatography, with initial interest in 2'FL. Infant cognitive development score was assessed with the Bayley-III Scale at 24 months. Linear regressions were used for prediction, and bootstrapping to determine mediation by 2'FL. Results Maternal pre-pregnancy BMI was not related to feedings/day or HMOs, but predicted poorer infant cognitive development (beta = -0.31, P = 0.03). Feedings/day (beta = 0.34) and 2'FL (beta = 0.59) at 1 month predicted better infant cognitive development (both P <= 0.01). The association of feedings/day with infant cognitive development was no longer significant after further adjustment for 2'FL (estimated mediation effect = 0.13, P = 0.04). There were no associations of feedings/day and 2'FL at 6 months with infant cognitive development. Conclusions Our findings suggest that maternal factors influence infant cognitive development through multiple means. Though maternal obesity may be a separate negative influence, greater frequency of breast milk feeding at 1 month contributed to infant cognitive development through greater exposure to 2'FL relative to other HMOs. The influence of 2'FL was not significant at 6 months, indicating that early exposure to 2'FL may be a critical temporal window for positively influencing infant cognitive development.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Multidisciplinary Sciences

A knowledge-based multivariate statistical method for examining gene-brain-behavioral/cognitive relationships: Imaging genetics generalized structured component analysis

Heungsun Hwang, Gyeongcheol Cho, Min Jin Jin, Ji Hoon Ryoo, Younyoung Choi, Seung Hwan Lee

Summary: This study introduces a statistical method called IG-GSCA for investigating the associations between genes, brain, and behavior/cognition. The research considers biological characteristics and methodological complexities, and examines the effects of multiple genes interacting with environmental variables on brain region thickness variations and their impact on depression severity. The results suggest that specific genetic variations and gene-environment interactions have significant effects on brain regions that influence depression severity, which is consistent with previous studies.

PLOS ONE (2021)

Article Behavioral Sciences

A Longitudinal Study of Assisted Infant Toilet Training During the First Year of Life

Jeffrey M. Bender, Yelim Lee, Ji Hoon Ryoo, Laurie Boucke, Min Sun, Thomas S. Ball, Simone Rugolotto, Rosemary C. She

Summary: This longitudinal cohort study described the practice of Assisted Infant Toilet Training (AITT) and caregiver satisfaction during the first year of life in a Western setting. Results showed that most caregivers could identify elimination signals, toileting attempts decreased with age, some families practiced AITT part-time, and daytime dryness was noted in 12%-14% of infants. Additionally, caregiver satisfaction was high and associated with positive outcomes like daytime and nighttime dryness.

JOURNAL OF DEVELOPMENTAL AND BEHAVIORAL PEDIATRICS (2021)

Article Education & Educational Research

(Re-)Designing a measure of student's attitudes toward science: a longitudinal psychometric approach

Robert H. Tai, Ji Hoon Ryoo, Angela Skeeles-Worley, Katherine P. Dabney, John T. Almarode, Adam Maltese

Summary: This study validated a streamlined version of the mATSI measurement tool and confirmed its reliability and stability in a more diverse sample. The results suggest that anxiety toward science and value and enjoyment of science are two stable factors. This study and its modified factor structure could be valuable for researchers interested in student engagement and measuring middle-school students' attitudes toward science.

INTERNATIONAL JOURNAL OF STEM EDUCATION (2022)

Article Nutrition & Dietetics

Adverse Effects of Infant Formula Made with Corn-Syrup Solids on the Development of Eating Behaviors in Hispanic Children

Hailey E. Hampson, Roshonda B. Jones, Paige K. Berger, Jasmine F. Plows, Kelsey A. Schmidt, Tanya L. Alderete, Michael I. Goran

Summary: This study investigated the influence of infant formulas made with added corn-syrup solids on child eating behaviors. The results suggest that Hispanic infants consuming formula containing corn-syrup solids may develop greater food fussiness and reduced enjoyment of food in the first 2 years of life compared to breastfed infants.

NUTRIENTS (2022)

Article Environmental Sciences

County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado

Laura E. Wild, McKailey Walters, Alaina Powell, Katherine A. James, Laura Corlin, Tanya L. Alderete

Summary: Cardiometabolic diseases pose a greater burden among socially vulnerable communities, and the social vulnerability index (SVI) may help determine the cardiometabolic health outcomes in these communities, especially in rural areas.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2022)

Article Social Sciences, Interdisciplinary

Development of a New Measure of Cognitive Ability Using Automatic Item Generation and Its Psychometric Properties

Ji Hoon Ryoo, Sunhee Park, Hongwook Suh, Jaehwa Choi, Jongkyum Kwon

Summary: This paper introduces an innovative measure of cognitive ability based on automatic item generation approach, which can efficiently and effectively measure cognitive ability over time. Its psychometric properties, including content validity, construct validity, and reliability, have been examined and found to support its potential utilities in both educational and clinical settings.

SAGE OPEN (2022)

Article Nutrition & Dietetics

A Longitudinal Study of Exposure to Manganese and Incidence of Metabolic Syndrome

Emily Riseberg, Kenneth Chui, Katherine A. James, Rachel Melamed, Tanya L. Alderete, Laura Corlin

Summary: The association between manganese and metabolic syndrome is unclear. This study found a potential beneficial effect of manganese on diabetic markers, but no evidence of an association with incident metabolic syndrome.

NUTRIENTS (2022)

Article Nutrition & Dietetics

Associations of Human Milk Oligosaccharides with Infant Brain Tissue Organization and Regional Blood Flow at 1 Month of Age

Paige K. Berger, Ravi Bansal, Siddhant Sawardekar, Chloe Yonemitsu, Annalee Furst, Hailey E. Hampson, Kelsey A. Schmidt, Tanya L. Alderete, Lars Bode, Michael Goran, Bradley S. Peterson

Summary: This study aimed to investigate the associations between human milk oligosaccharides (HMOs) and MRI indices of brain tissue microstructure and regional cerebral blood flow (rCBF) in infants. The results revealed differential associations of fucosylated and sialylated HMOs with these indices, suggesting specific roles for 2'FL, 3FL, and 3'SL in early brain maturation.

NUTRIENTS (2022)

Article Nutrition & Dietetics

Diet Quality Is Associated with Glucose Regulation in a Cohort of Young Adults

Elizabeth Costello, Jesse Goodrich, William B. Patterson, Sarah Rock, Yiping Li, Brittney Baumert, Frank Gilliland, Michael Goran, Zhanghua Chen, Tanya L. Alderete, David Conti, Leda Chatzi

Summary: The study found that young adults can reduce the risk of prediabetes by improving their diet quality, especially by increasing DASH and HEI scores.

NUTRIENTS (2022)

Article Dermatology

Validation of Relationship between Patients' Descriptions of Pruritus and Patient-burden of Chronic Pruritus using Structural Equation Modelling

Ji Hoon Ryoo, Seon Hwa Lee, Dae-Lyong Ha, Kyung Duck Park, Jaehee Rho, Gyeong-Hun Park, Byung-Soo Kim, Kapsok Li, Chang Ook Park, Hye One Kim, Hei Sung Kim, Min Soo Jang, Dong Hun Lee, Yang Won Lee, Do Won Kim, Yong Hyun Jang, Seong-Jin Kim

Summary: This study aimed to validate patients' descriptions of pruritus and investigate the relationship between different descriptions of pruritus and the burden on patients with chronic pruritus. The study found that sensory pruritus was linked to pruritus patterns, while affective pruritus was related to psychological distress. Affective pruritus decreased patients' quality of life through its impact on sleep quality.

ACTA DERMATO-VENEREOLOGICA (2022)

Article Nutrition & Dietetics

Effects of Dietary Sugar Reduction on Biomarkers of Cardiometabolic Health in Latino Youth: Secondary Analyses from a Randomized Controlled Trial

Kelsey A. Schmidt, Pari Mokhtari, Elizabeth A. Holzhausen, Tanya L. Alderete, Hooman Allayee, Krishna S. Nayak, Frank R. Sinatra, Trevor A. Pickering, Wendy Mack, Rohit Kohli, Michael I. Goran

Summary: Pediatric obesity and cardiometabolic disease have a greater impact on minority communities. Sugar reduction interventions may improve insulin resistance, lipid profile, and inflammatory markers in Latino adolescents with obesity, thus reducing their risk of chronic diseases.

NUTRIENTS (2023)

Article Microbiology

Characterizing alterations in the gut microbiota following postpartum weight change

Bridget N. Chalifour, Diana I. Trifonova, Elizabeth A. Holzhausen, Maximilian J. Bailey, Kelsey A. Schmidt, Mahsa Babaei, Pari Mokhtari, Michael I. Goran, Tanya L. Alderete

Summary: This study evaluated changes in the gut microbiome among Latina mothers who gained or lost weight in the first 6 months after delivery and found significant differences in microbial network density, α- and β-diversity, and relative abundances of bacterial taxa in mothers who gained weight compared to those who lost weight.

MSYSTEMS (2023)

Article Environmental Sciences

Assessing household fine particulate matter (PM2.5) through measurement and modeling in the Bangladesh cook stove pregnancy cohort study (CSPCS)

Md Mostafijur Rahman, Meredith Franklin, Nusrat Jabin, Tasnia Ishaque Sharna, Noshin Nower, Tanya L. Alderete, Alaa Mhawish, Anisuddin Ahmed, M. A. Quaiyum, Muhammad T. Salam, Talat Islam

Summary: This study shows that biomass fuel burning is a significant contributor to household PM2.5 in rural and semi-urban areas of Bangladesh. The study also presents a model to predict household PM2.5 using ambient PM2.5 and household characteristics.

ENVIRONMENTAL POLLUTION (2023)

Meeting Abstract Dermatology

PREDICTING THE PATIENT-BURDEN OFCHRONIC PRURITUS USING PATIENTS' DESCRIPTIONS OF ITCH IN ADULTS

Gi Ung Ha, Ji Hoon Ryoo, Seon Hwa Lee, Dae-Lyong Ha, Kyung Duck Park, Jaehee Rho, Gyeong-Hun Park, Byung-Soo Kim, Kapsok Li, Chang Ook Park, Hye One Kim, Hei Sung Kim, Min Soo Jang, Dong Hun Lee, Yang Won Lee, Do Won Kim, Yong Hyun Jang, Seong-Jin Kim

ACTA DERMATO-VENEREOLOGICA (2022)

Article Engineering, Multidisciplinary

gscaLCA in R: Fitting Fuzzy Clustering Analysis Incorporated with Generalized Structured Component Analysis

Ji Hoon Ryoo, Seohee Park, Seongeun Kim, Heungsun Hwang

Summary: The package gscaLCA implemented in R environment integrates fuzzy clustering and generalized structured component analysis for conducting clustering analysis and latent variable modeling, providing advantages of soft partitioning and efficiency in parameter estimation.

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES (2022)

No Data Available