Association between anthropometry, cardiometabolic risk factors, & early life factors & adult measures of endothelial function: Results from the New Delhi Birth Cohort

The intent of this review is to critically consider the data that support the concept of programming and its implications. Birth weight and growth trajectories during childhood are associated with cardiometabolic disease in adult life. Both extremes, low and high birth weight coupled with postnatal growth increase the early presence of cardiometabolic risk factors and vascular imprinting, crucial elements of this framework. Data coming from epigenetics, proteomics, metabolomics, and microbiota added relevant information and contribute to better understanding of mechanisms as well as development of biomarkers helping to move forward to take actions. Research has reached a stage in which sufficiently robust data calls for new initiatives focused on early life. Prevention starting early in life is likely to have a very large impact on reducing disease incidence and its associated effects at the personal, economic, and social levels.

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Intrafamilial associations of cardiometabolic risk factors – Results of the Ulm Birth Cohort Study

Atherosclerosis ◽

10.1016/j.atherosclerosis.2015.02.045 ◽

2015 ◽

Vol 240 (1) ◽

pp. 174-183 ◽

Cited By ~ 3

Author(s):

Stephanie Brandt ◽

Anja Moß ◽

Wolfgang Koenig ◽

Dietrich Rothenbacher ◽

Hermann Brenner ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Birth Cohort ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Birth Cohort Study

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Abstract P246: Sex Differences In The Association Between Soluble Prorenin Receptor And Physiological And Cardiometabolic Risk Factors In Healthy Humans Varying In Age And Obesity

Hypertension ◽

10.1161/hyp.76.suppl_1.p246 ◽

2020 ◽

Vol 76 (Suppl_1) ◽

Author(s):

Gertrude Arthur ◽

Gary L Pierce ◽

Lyndsey E DuBose ◽

Abbi D Lane-cordova ◽

Nick Jensen ◽

...

Keyword(s):

Risk Factors ◽

Sex Differences ◽

Endothelial Function ◽

Cardiometabolic Risk ◽

Pearson Correlation ◽

Menopausal Status ◽

Cardiometabolic Risk Factors ◽

Obese Women ◽

Men And Women ◽

Prorenin Receptor

The prorenin receptor (PRR), which regulates renin-angiotensin system in multiple tissues, can be cleaved to generate soluble PRR (sPRR) in plasma. sPRR concentrations vary with clinical conditions such as metabolic syndrome, pregnancy, chronic kidney disease and heart failure in humans. However, whether sPRR is associated with aging and healthy obesity in men and women is unknown. We aimed to evaluate if there are sex-specific associations of sPRR with cardiometabolic risk factors among healthy women and men varying in age and obesity. Circulating cardiometabolic, vascular and inflammatory risk factors and sPRR (via ELISA) were measured in unmedicated healthy men (n=55; age 39 ± 16 yrs; BMI 29 ± 4 kg/m2) and women (n=34; age 44 ± 16 yrs; BMI 30 ± 7 kg/m2) at the University of Iowa. Women were classified by menopausal status [pre-menopausal, pre-M (n=18) and post-menopausal, post-M (n=16)]. Independent t -test was used to compare means and pearson correlation was examined. In men, sPRR was not related to age, systolic blood pressure (SBP), BMI, cholesterol or endothelial function (brachial artery flow mediated dilation, FMD), but was correlated with plasma TNFα (r=0.50, P<0.05). sPRR was higher in overweight/obese (BMI ≥ 25 kg/m2) compared with non-obese men (n=48; 10.8 ± 0.4 vs. n=7; 8.3 ± 0.4 ng/ml, P<0.05). In women, sPRR did not correlate with BMI or SBP, but correlated with total cholesterol (r=0.49, P<0.05) and TNFα (r=0.49, P<0.05). sPRR correlated with age in women with a BMI<30 (r=0.54, P<0.05) but not a BMI ≥30 kg/m2. sPRR was significantly higher in post-M compared with Pre-M women independent of obesity or hypertension status (12.1 ± 0.5 vs. 10.1 ± 0.4 ng/ml, P<0.05). sPRR correlated with FMD only in obese women (%FMD: r=-0.50, P<0.05), indicating a relation of sPRR with endothelial dysfunction in obese women. Interestingly, sPRR was significantly higher in Pre-M compared with non-obese men and menopause further exacerbated the difference. In conclusion, sPRR is associated with TNFα in both men and women, but there are sex differences in the relation with BMI, age, cholesterol and endothelial function in humans. sPRR concentrations were higher in post-M compared with pre-M women, suggesting that PRR could contribute to cardiovascular risk in post-M women.

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Associations between self-reported physical activity and screen time with cardiometabolic risk factors in adolescents: Findings from the 1993 Pelotas (Brazil) Birth Cohort Study

Preventive Medicine ◽

10.1016/j.ypmed.2018.12.008 ◽

2019 ◽

Vol 119 ◽

pp. 31-36 ◽

Cited By ~ 4

Author(s):

Gregore I. Mielke ◽

Wendy J. Brown ◽

Fernando C. Wehrmeister ◽

Helen Goncalves ◽

Isabel Oliveira ◽

...

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Cohort Study ◽

Birth Cohort ◽

Screen Time ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Birth Cohort Study

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Abstract 15564: What Pre-pregnancy, Pregnancy, and Inter-pregnancy Cardiometabolic Factors Contribute to Increased Risk of Recurrent Preeclampsia?: A Longitudinal Analysis in the Boston Birth Cohort

Circulation ◽

10.1161/circ.142.suppl_3.15564 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Michelle Ogunwle ◽

Xiaobin Wang ◽

Wendy L Bennett

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Birth Cohort ◽

Cardiometabolic Risk ◽

Subsequent Pregnancy ◽

Cardiometabolic Risk Factors ◽

Chronic Hypertension ◽

Maternal Risk ◽

Index Pregnancy ◽

Increased Risk

Introduction: Women with recurrent preeclampsia represent a group at uniquely high risk for maternal and perinatal morbidity, as well as future cardiovascular complications. The aim of this study is to examine the association of cardiometabolic risk factors with recurrent preeclampsia in the subsequent pregnancy. Methods: The Boston Birth Cohort is a racially/ethnically diverse birth cohort with over 8500 women. We identified 618 women with repeat pregnancies. Of those, 78 women had preeclampsia in the index pregnancy, and of those, 33 had recurrent preeclampsia in the subsequent pregnancy. We used log-binomial regression to examine the association between pre-pregnancy, pregnancy, and inter-pregnancy cardiometabolic risk factors (e.g., obesity, hypertension, diabetes mellitus, preterm birth, low birth weight, and gestational diabetes mellitus) and recurrent risk of preeclampsia. Results: Among the 78 women who had preeclampsia in their index pregnancy, the recurrence rate of preeclampsia was 42.3%. Several maternal risk factors were associated with this recurrent risk. Compared to women with pre-(index) pregnancy normal weight, the risk of recurrent preeclampsia was 3 times higher for women with pre-(index) pregnancy overweight (RR 3.0 [95% CI: 1.4 to 6.6]) or obesity (RR 3.1 [95% CI: 1.5 to 6.7). Compared to women without new inter-pregnancy chronic hypertension, women with new inter-pregnancy chronic hypertension had a 2-fold higher risk of recurrent preeclampsia (RR 2.4 [95% CI: 1.5 to 3.9]). Conclusions: Pre-(index) pregnancy obesity and new inter-pregnancy chronic hypertension was highly associated with recurrent preeclampsia in the subsequent pregnancy. Clinical and public health programs focused on reducing preconception obesity and reducing risk of hypertension in both the pre-pregnancy and inter-pregnancy periods may help reduce recurrent preeclampsia, which, in turn may help prevent or reduce subsequent cardiovascular disease.

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