Pre-pregnancy obesity is associated with greater systemic inflammation and increased risk of antenatal depression

Association between weight-adjusted-waist index and depression in US adults: A cross-sectional study

BACKGROUND

Current evidence implicates a significant association between depression and obesity and related metabolic dysfunction. The weight-adjusted-waist index (WWI) was recently identified as an ideal index that integrates total body fat, muscle mass, and bone mass. This study investigated the relationship between WWI and depressive symptoms in adults.

METHODS

Participants from the National Health and Nutrition Examination Survey (2005-2018) were enrolled. Depressive symptom severity was measured with the Patient Health Questionnaire-9 (PHQ-9). Survey-weighted multivariable logistic regression, subgroup analysis, and generalized additive models were used to determine the relationship between WWI and depressive symptoms.

RESULTS

A total of 34,575 participants were included, with a mean WWI of 11.01; 2,979 participants were suspected of having depressive symptoms (PHQ-9 score ≥ 10). A significant positive association was identified between WWI and depressive symptoms (odds ratio = 1.416, 95 % confidence interval: 1.303-1.539, P < 0.0001). Subgroup analyses suggested that the association between WWI and depressive symptoms was stronger in individuals who were female, overweight, divorced, middle-aged or older (over 40 years old), and had diabetes. Furthermore, the non-linear multivariable regression revealed an inflection point for the WWI at 11.438, and the association was only significant when the WWI was higher than this point.

LIMITATIONS

This study was retrospective and only included participants from the United States; therefore, further validation is needed from studies in other countries, especially middle-to-low-income countries, using longitudinal cohorts.

CONCLUSIONS

This study identified a significant positive association between WWI and depressive symptoms.

Associations between cytokines and the risk of female and male infertility: A two-sample Mendelian randomization analysis

PURPOSE

Observational studies have linked cytokines to the occurrence of female and male infertility. However, it is not clear how biomarkers of inflammation are causally related to infertility. To explore whether genetic variants in circulating cytokines are associated with the pathogenesis of infertility, we performed two-sample Mendelian randomization (MR) analysis.

METHODS

A total of 31,112 individuals of European ancestry were included in a genome-wide association study (GWAS) of 47 circulating cytokines as instrumental variables (IVs). Outcome data were female infertility, including four different subtypes, and male infertility, from the FinnGen consortium. Five MR methods, including inverse-variance weighted (IVW), MR-Egger, simple mode, weighted median, and weighted mode were employed to examine the genetic association between cytokines and the risk of female infertility and male infertility. The false discovery rate (FDR) was controlled using the Benjamini-Hochberg method.

RESULTS

After FDR correction, cis-protein quantitative trait locus (cis-pQTL) instruments showed that the cytokines GROa and MCSF were positively associated with female infertility. In analyses of subtypes of female infertility, eotaxin and sICAM were inversely associated with ovulation-related infertility; MCP3 alone was positively associated with uterus-related infertility; GROa and MCSF were positively correlated with infertility of cervical, vaginal, and other or unspecified origin; and MIP1a was negatively correlated with tubal origin infertility. The cytokines HGF, IL-2ra, and RANTES were positively correlated with male infertility. Similar findings were obtained in sensitivity analyses. There was no evidence of pleiotropy or heterogeneity in the results.

CONCLUSION

These findings contribute to current understanding of the role of cytokine biomarkers in the etiology of female and male infertility. Furthermore clinical experimental validation is required to evaluate the potential of these cytokines as biomarkers.

Phthalate exposure increases interferon-γ during pregnancy: The Atlanta African American Maternal-Child Cohort

BACKGROUND

The immune system undergoes unique adaptations during pregnancy and is particularly sensitive to environmental chemicals, such as phthalates, which are associated with acute and chronic inflammatory medical conditions. However, current knowledge of how phthalate exposures are associated with systemic inflammation in pregnant people is limited by cross-sectional study designs and single chemical models. Our objective was to estimate the association between repeated measures of prenatal phthalate exposures, examined individually and collectively, and a panel of clinical inflammatory biomarkers.

METHODS

In the Atlanta African American Maternal-Child Cohort, biospecimens were collected at mean 11 and 26 weeks gestation (N = 126). Concentrations of eight urinary phthalate metabolites and five serum inflammatory biomarkers, including CRP, IFN-γ, IL-6, IL-10, and TNF-α, were measured. Linear mixed effect regression and quantile g-computation models were used to estimate the associations for single phthalates and their exposure mixture, respectively.

RESULTS

Participants who self-reported any use of alcohol, tobacco, or marijuana in the month prior to pregnancy had increased MEP, MBP, MiBP, and CRP, relative to those with no substance use. IFN-γ was elevated in response to MECPP (% change = 17.35, 95 % confidence interval [CI] = 0.32, 32.27), MEHHP (% change = 12.75, 95 % CI = 2.22, 24.36), MEOHP (% change = 11.63, 95 % CI = 1.21, 23.12), and their parent phthalate, ΣDEHP (% change = 15.03, 95 % CI = 0.28, 31.94). The phthalate mixture was also associated with an increase in IFN-γ (% change = 15.03, 95 % CI = 6.18, 24.61).

CONCLUSIONS

Our findings suggest DEHP metabolites induce systemic inflammation during pregnancy. The pro-inflammatory cytokine IFN-γ may play an important role in the relationship between prenatal phthalate exposures and adverse pregnancy outcomes.

Altered dietary behaviour during pregnancy impacts systemic metabolic phenotypes

Rationale

Evidence suggests consumption of a Mediterranean diet (MD) can positively impact both maternal and offspring health, potentially mediated by a beneficial effect on inflammatory pathways. We aimed to apply metabolic profiling of serum and urine samples to assess differences between women who were stratified into high and low alignment to a MD throughout pregnancy and investigate the relationship of the diet to inflammatory markers.

Methods

From the ORIGINS cohort, 51 pregnant women were stratified for persistent high and low alignment to a MD, based on validated MD questionnaires. 1H Nuclear Magnetic Resonance (NMR) spectroscopy was used to investigate the urine and serum metabolite profiles of these women at 36 weeks of pregnancy. The relationship between diet, metabolite profile and inflammatory status was investigated.

Results

There were clear differences in both the food choice and metabolic profiles of women who self-reported concordance to a high (HMDA) and low (LMDA) Mediterranean diet, indicating that alignment with the MD was associated with a specific metabolic phenotype during pregnancy. Reduced meat intake and higher vegetable intake in the HMDA group was supported by increased levels of urinary hippurate (p = 0.044) and lower creatine (p = 0.047) levels. Serum concentrations of the NMR spectroscopic inflammatory biomarkers GlycA (p = 0.020) and GlycB (p = 0.016) were significantly lower in the HDMA group and were negatively associated with serum acetate, histidine and isoleucine (p < 0.05) suggesting a greater level of plant-based nutrients in the diet. Serum branched chain and aromatic amino acids were positively associated with the HMDA group while both urinary and serum creatine, urine creatinine and dimethylamine were positively associated with the LMDA group.

Conclusion

Metabolic phenotypes of pregnant women who had a high alignment with the MD were significantly different from pregnant women who had a poor alignment with the MD. The metabolite profiles aligned with reported food intake. Differences were most significant biomarkers of systemic inflammation and selected gut-microbial metabolites. This research expands our understanding of the mechanisms driving health outcomes during the perinatal period and provides additional biomarkers for investigation in pregnant women to assess potential health risks.