Back

Multi-omics Analysis of Umbilical Cord Hematopoietic Stem Cells from a Multi-ethnic Cohort of Hawaii Reveals the Transgenerational Effect of Maternal Pre-Pregnancy Obesity

Du, Y.; Benny, P. A.; Shao, Y.; Schlueter, R. J.; Gurary, A.; Lum-Jones, A.; Lassiter, C. B.; AlAkwaa, F. M.; Tiirikainen, M.; Towner, D.; Ward, W. S.; Garmire, L. X.

2024-08-13 sexual and reproductive health
10.1101/2024.07.27.24310936 medRxiv
Show abstract

BackgroundMaternal obesity is a health concern that may predispose newborns to a high risk of medical problems later in life. To understand the intergenerational effect of maternal obesity, we hypothesized that the maternal obesity effect is mediated by epigenetic changes in the CD34+/CD38-/Lin- hematopoietic stem cells (uHSCs) in the offspring. Towards this, we conducted a DNA methylation centric multi-omics study. We measured the DNA methylation and gene expression in the CD34+/CD38-/Lin- uHSCs and metabolomics of the cord blood, all from a multi-ethnic cohort (n=72) from Kapiolani Medical Center for Women and Children in Honolulu, Hawaii (collected between 2016 and 2018). ResultsDifferential methylation (DM) analysis unveiled a global hypermethylation pattern in the maternal pre-pregnancy obese group (BH adjusted p<0.05), after adjusting for major clinical confounders. KEGG pathway enrichment, WGCNA, and PPI analyses revealed hypermethylated CpG sites were involved in critical biological processes, including cell cycle, protein synthesis, immune signaling, and lipid metabolism. Utilizing Shannon entropy on uHSCs methylation, we discerned notably higher quiescence of uHSCs impacted by maternal obesity. Additionally, the integration of multi-omics data-including methylation, gene expression, and metabolomics-provided further evidence of dysfunctions in adipogenesis, erythropoietin production, cell differentiation, and DNA repair, aligning with the findings at the epigenetic level. Furthermore, we trained a random forest classifier using the CpG sites in the genes of the top pathways associated with maternal obesity, and applied it to predict cancer vs. adjacent normal labels from samples in 14 Cancer Genome Atlas (TCGA) cancer types. Five of 14 cancers showed balanced accuracy of 0.6 or higher: LUSC (0.87), PAAD (0.83), KIRC (0.71), KIRP (0.63) and BRCA (0.60). ConclusionsThis study revealed the significant correlation between pre-pregnancy maternal obesity and multi-omics level molecular changes in the uHSCs of offspring, particularly in DNA methylation. Moreover, these maternal obesity epigenetic markers in uHSCs may predispose offspring to higher risks in certain cancers.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
International Journal of Epidemiology
74 papers in training set
Top 0.1%
41.9%
2
Scientific Reports
3102 papers in training set
Top 21%
5.2%
3
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 0.4%
3.5%
50% of probability mass above
4
Clinical Epigenetics
53 papers in training set
Top 0.3%
2.8%
5
eLife
5422 papers in training set
Top 31%
2.8%
6
Human Genetics and Genomics Advances
70 papers in training set
Top 0.2%
2.2%
7
Epigenetics
43 papers in training set
Top 0.3%
2.2%
8
Journal of Racial and Ethnic Health Disparities
11 papers in training set
Top 0.1%
2.0%
9
Cell Genomics
162 papers in training set
Top 3%
1.9%
10
Cell Reports Medicine
140 papers in training set
Top 3%
1.9%
11
PLOS ONE
4510 papers in training set
Top 52%
1.8%
12
Disease Models & Mechanisms
119 papers in training set
Top 1%
1.4%
13
Epigenomics
10 papers in training set
Top 0.1%
1.4%
14
Clinical Infectious Diseases
231 papers in training set
Top 3%
1.3%
15
Nature Communications
4913 papers in training set
Top 57%
1.2%
16
Placenta
18 papers in training set
Top 0.1%
1.2%
17
Nutrients
64 papers in training set
Top 1%
1.0%
18
PLOS Medicine
98 papers in training set
Top 4%
0.8%
19
Journal of Clinical Investigation
164 papers in training set
Top 6%
0.8%
20
Genome Medicine
154 papers in training set
Top 7%
0.8%
21
iScience
1063 papers in training set
Top 29%
0.8%
22
Frontiers in Genetics
197 papers in training set
Top 9%
0.8%
23
Current Developments in Nutrition
15 papers in training set
Top 0.8%
0.8%
24
Antioxidants
25 papers in training set
Top 0.5%
0.8%
25
American Journal of Physiology-Endocrinology and Metabolism
34 papers in training set
Top 0.4%
0.8%
26
Molecular Genetics and Genomics
11 papers in training set
Top 0.4%
0.8%
27
Frontiers in Pediatrics
29 papers in training set
Top 0.9%
0.8%
28
BMC Public Health
147 papers in training set
Top 6%
0.8%
29
Journal of Proteome Research
215 papers in training set
Top 2%
0.8%
30
Cells
232 papers in training set
Top 6%
0.8%