Novel approach to visualize the inter-dependencies between maternal sensitization, breast milk immune components and human milk oligosaccharides in the LIFE Child cohort

Autor: Carine Blanchard, Norbert Sprenger, Ellen Ní Cléirigh, Sébastien Holvoet, Erik Eckhardt, Maya Shevlyakova, Antje Körner, Wieland Kiess, Loris Michel, Mandy Vogel, Sophie Nutten, Chiara Nembrini
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Immunoglobulin A
Allergy
Multivariate analysis
Physiology
Eczema
Oligosaccharides
Atopic Dermatitis
Biochemistry
Cohort Studies
Families
0302 clinical medicine
Mathematical and Statistical Techniques
Allergies
Medicine and Health Sciences
030212 general & internal medicine
Child
Breast Milk
Children
Phospholipids
Principal Component Analysis
Multidisciplinary
biology
Allergic Diseases
Statistics
Fatty Acids
food and beverages
Lipids
Body Fluids
Milk
Breast Feeding
Transforming Growth Factors
Cohort
Physical Sciences
Dermatitis
Allergic Contact
Medicine
Methacrylates
Female
Anatomy
Infants
Research Article
Adult
Science
Birth weight
Immunology
Food Allergies
Context (language use)
Dermatology
Breast milk
Research and Analysis Methods
Beverages
03 medical and health sciences
Immune system
medicine
Humans
Lactation
Statistical Methods
Nutrition
Milk
Human
Biology and Life Sciences
Infant
Immunoglobulin E
medicine.disease
Diet
030228 respiratory system
Age Groups
People and Places
Multivariate Analysis
biology.protein
Population Groupings
Clinical Immunology
Clinical Medicine
Milk Hypersensitivity
Mathematics
Zdroj: PLoS ONE
PLoS ONE, Vol 15, Iss 4, p e0230472 (2020)
ISSN: 1932-6203
Popis: BackgroundNumerous studies have shown that specific components of breast milk, considered separately, are associated with disease status in the mother or the child using univariate analyses. However, very few studies have considered multivariate analysis approaches to evaluate the relationship between multiple breast milk components simultaneously.AimHere we aimed at visualizing breast milk component complex interactions in the context of the allergy status of the mother or the child.MethodsMilk samples were collected from lactating mothers participating in the Leipziger Forschungszentrum für Zivilisationskrankheiten (LIFE) Child cohort in Leipzig, Germany. A total of 156 breast milk samples, collected at 3 months after birth from mother/infant pairs, were analyzed for 51 breast milk components. Correlation, principal component analysis (PCA) and graphical discovery analysis were used.ResultCorrelations ranging from 0.40 to 0.96 were observed between breast milk fatty acid and breast milk phospholipids levels and correlations ranging from 0 to 0.76 between specific human milk oligosaccharides (HMO) were observed. No separation of the data based on the risk of allergy in the infants was identified using PCA. When graphical discovery analysis was used, dependencies between maternal plasma immunoglobulin E (IgE) level and the breast milk immune marker transforming growth factor-beta 2 (TGF-ß2), between TGF-ß2, breast milk immunoglobulin A (IgA) and TGF-ß1 as well as between breast milk total protein and birth weight were observed. Graphical discovery analysis also exemplifies a possible competition for the fucosyl group between 2'FL, LNFP-I and 3'FL in the HMO group. Additionally, dependencies between immune component IgA and specific HMO (6'SL and blood group A antigen tetraose type 5 or PI-HMO) were identified.ConclusionGraphical discovery analysis applied to complex matrices such as breast milk composition can aid in understanding the complexity of interactions between breast milk components and possible relations to health parameters in the mother or the infant. This approach can lead to novel discoveries in the context of health and diseases such as allergy. Our study thus represents the first attempt to visualize the complexity and the inter-dependency of breast milk components.
Databáze: OpenAIRE
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