Innate and Adaptive Immune Systems in Physiological and Pathological Pregnancy

Weng, Jessica; Couture, Camille; Girard, Sylvie

doi:10.3390/biology12030402

Cited by 18 publications

(10 citation statements)

References 215 publications

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“…The strongest association is located on the PHTP1 gene, encoding a phosphatase not previously linked to obesity. To our knowledge, this is the first study investigating this question in pregnant women, and our results suggest that during pregnancy the relationship between BMI and DNA methylation might be altered, potentially due to immune-metabolic changes typical of pregnancy 34,35 . Previous studies that attempted to investigate the link between BMI and DNA methylation during pregnancy focussed on candidate genes encoding leptin and adiponectin and found associations 36 .…”

Section: Discussionmentioning

confidence: 76%

Negative association between higher maternal body mass index and breastfeeding outcomes is not mediated by DNA methylation

Elliott,

Bennett,

Caramaschi

et al. 2023

Preprint

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The benefits of breastfeeding for the health and wellbeing of both infants and mothers are well documented, yet global breastfeeding rates are low. One factor associated with low breastfeeding is maternal body mass index (BMI), which is used as a measure of obesity. The negative relationship between maternal obesity and breastfeeding is likely caused by a variety of social, psychological, and physiological factors. Maternal obesity may also have a direct biological association with breastfeeding through changes in maternal DNA methylation. Here, we investigate this potential biological association using data from a UK-based cohort study, the Avon Longitudinal Study of Parents and Children (ALSPAC). We find that pre-pregnancy body mass index (BMI) is associated with lower initiation to breastfeed and shorter breastfeeding duration. We conduct epigenome-wide association studies (EWAS) of maternal BMI and breastfeeding outcomes and candidate-gene analysis of methylation sites associated with BMI identified via previous meta-EWAS. We find that DNA methylation at cg11453712, annotated to PHTP1, is associated with maternal BMI. From our results, neither this association nor those at candidate-gene sites are likely to mediate the link between maternal BMI and breastfeeding.

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Section: Discussionmentioning

confidence: 76%

Negative association between higher maternal body mass index and breastfeeding outcomes is not mediated by DNA methylation

Elliott,

Bennett,

Caramaschi

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In addition, as pregnancy is a unique immune state in which particular responses may be dampened, IgG levels during pregnancy could differ from pre- to post-pregnancy. However, this is less likely given that the immune response during pregnancy skews toward antibody production and away from a cellular response ( 28 ). Third, as this analysis only included 37 MAR+ and 37 MAR- mothers and only some had IgG reactivity to the different infectious agents, our sample size in these comparisons was very small.…”

Section: Discussionmentioning

confidence: 99%

Altered cytokine and chemokine profile linked to autoantibody and pathogen reactivity in mothers of autistic children

McLellan,

Croen,

Iosif

et al. 2024

Front. Psychiatry

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Maternal autoimmunity, and more specifically, the production of specific maternal autoantibodies, has been associated with altered offspring neurodevelopment. Maternal autoantibody-related (MAR) autism is a subtype of autism that is linked to gestational exposure to certain combinations of autoantibodies to proteins known to be important for fetal neurodevelopment. We wanted to address whether mothers with autism-specific patterns of autoantibodies have a skewed cytokine and chemokine profile during an immune response to infection. To do so, we examined a subset of mothers from the Early Markers for Autism (EMA) study who either produced known patterns of MAR autoantibodies (MAR+) or did not (MAR-). We compared the cytokine/chemokine profiles of MAR+ and MAR- mothers in the context of positive immunoglobulin G (IgG) reactivity to several viral and parasitic agents. We observed that MAR+ mothers have a higher level of proinflammatory cytokine interferon-gamma regardless of IgG status. Additionally, when comparing MAR+ and MAR- mothers in the context of the different pathogens, MAR+ mothers consistently had increases in multiple proinflammatory cytokines and chemokines.

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“…Maternal immune tolerance to the fetus is a prerequisite for successful pregnancy 42,43 . The paternal antigens can be expressed by the fetus, and the maternal immune system's response to fetal antigens may contribute to the pathogenesis of RPL 44 .…”

Section: Macrophages and Rplmentioning

confidence: 99%

Exploring Novel Molecular Mechanisms Underlying Recurrent Pregnancy Loss in Decidual Tissues

Ding,

Gao,

Gao

et al. 2024

Preprint

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Background Recurrent pregnancy loss (RPL) is a common reproductive complication, and the specific pathogenesis is still unclear. This study aimed to investigate RPL-related biomarkers and molecular mechanisms from the transcriptome of RPL decidua tissue using modern bioinformatics techniques, providing new perspectives for the etiology and clinical diagnosis and treatment of RPL. Methods Three gene expression profiles of RPL decidua tissue were retrieved and downloaded from the GEO database. Differential analysis, WGCNA analysis, and functional enrichment analysis were performed on the merged data. Subsequently, three machine learning methods (LASSO, SVM-RFE, and RF) were used to select the optimal feature genes for RPL, which were experimentally validated by RT-qPCR. The immune cell infiltration in RPL was evaluated using the ssGSEA algorithm, and the biological functions of the optimal feature genes were explored. Lastly, a heatmap was constructed to assist clinical physicians. Results 10 key differentially expressed genes were identified: CFHR1, GPR155, TIMP4, WAKMAR2, COL15A1, LNCOG, C1QL1, KLK3, XG, and XGY2. Enrichment analysis showed associations with complement and coagulation cascade pathways. The three machine learning algorithms identified CFHR1 as the optimal feature gene for RPL, and RT-qPCR confirmed its high expression in RPL. ROC curve and nomogram demonstrated its diagnostic efficacy for RPL. Immune infiltration analysis revealed increased macrophages and γδT cells in RPL decidua tissue, with a significant positive correlation between CFHR1 and macrophages. Conclusion Transcriptomic abnormalities exist in RPL decidua tissue, with key genes closely related to complement and coagulation cascade pathways; CFHR1 is identified as the optimal feature gene for RPL. Abnormal immune infiltration and correlation with CFHR1 are observed in RPL decidua tissue.

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Innate and Adaptive Immune Systems in Physiological and Pathological Pregnancy

Cited by 18 publications

References 215 publications

Negative association between higher maternal body mass index and breastfeeding outcomes is not mediated by DNA methylation

Negative association between higher maternal body mass index and breastfeeding outcomes is not mediated by DNA methylation

Altered cytokine and chemokine profile linked to autoantibody and pathogen reactivity in mothers of autistic children

Exploring Novel Molecular Mechanisms Underlying Recurrent Pregnancy Loss in Decidual Tissues

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