Proteomics

Dataset Information

0

Quantitative glycoproteomics of human milk and their association with atopic disease


ABSTRACT: Children who grow up on farms have a lower risk of developing childhood atopic disease. Although human milk proteins are heavily glycosylated, there is a lack of studies investigating the milk glycoproteome. In this study, we have used label-free quantitative proteomics to analyze milk samples from Rochester and Older Order Mennonite mothers, two populations with different lifestyles, exposures, and risk of allergic disease. We identified multiple N-glycopeptides with significantly different abundances between the two communities and four N-glycopeptides that may have a protective effect against the development of atopic disease. The findings of this study indicate that the differential glycosylation of milk proteins may affect the development of atopic disease, something previously uninvestigated.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Milk

SUBMITTER: Sakari Joenväärä  

LAB HEAD: Risto Renkonen

PROVIDER: PXD026644 | Pride | 2022-06-09

REPOSITORIES: Pride

Dataset's files

Source:
altmetric image

Publications

Quantitative glycoproteomics of human milk and association with atopic disease.

Holm Matilda M   Saraswat Mayank M   Joenväärä Sakari S   Seppo Antti A   Looney R John RJ   Tohmola Tiialotta T   Renkonen Jutta J   Renkonen Risto R   Järvinen Kirsi M KM  

PloS one 20220513 5


The prevalence of allergic diseases and asthma is increasing rapidly worldwide, with environmental and lifestyle behaviors implicated as a reason. Epidemiological studies have shown that children who grow up on farms are at lower risk of developing childhood atopic disease, indicating the presence of a protective "farm effect". The Old Order Mennonite (OOM) community in Upstate New York have traditional, agrarian lifestyles, a low rate of atopic disease, and long periods of exclusive breastfeedi  ...[more]

Similar Datasets

2022-12-15 | GSE163250 | GEO
2020-10-07 | MSV000086246 | GNPS
2006-10-13 | GSE6012 | GEO
2022-11-08 | GSE217232 | GEO
2013-12-31 | E-GEOD-35222 | biostudies-arrayexpress
2008-06-14 | E-GEOD-6012 | biostudies-arrayexpress
2013-12-31 | GSE35222 | GEO
2017-05-01 | GSE96957 | GEO
2020-03-05 | GSE118761 | GEO
2014-10-17 | E-GEOD-62404 | biostudies-arrayexpress