scholarly journals Mid-gestation serum lipidomic profile associations with spontaneous preterm birth are influenced by body mass index

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0239115
Author(s):  
Kamil Borkowski ◽  
John W. Newman ◽  
Nima Aghaeepour ◽  
Jonathan A. Mayo ◽  
Ivana Blazenović ◽  
...  

Spontaneous preterm birth (sPTB) is a major cause of infant morbidity and mortality. While metabolic changes leading to preterm birth are unknown, several factors including dyslipidemia and inflammation have been implicated and paradoxically both low (<18.5 kg/m2) and high (>30 kg/m2) body mass indices (BMIs) are risk factors for this condition. The objective of the study was to identify BMI-associated metabolic perturbations and potential mid-gestation serum biomarkers of preterm birth in a cohort of underweight, normal weight and obese women experiencing either sPTB or full-term deliveries (n = 102; n = 17/group). For this purpose, we combined untargeted metabolomics and lipidomics with targeted metabolic profiling of major regulators of inflammation and metabolism, including oxylipins, endocannabinoids, bile acids and ceramides. Women who were obese and had sPTB showed elevated oxidative stress and dyslipidemia characterized by elevated serum free fatty acids. Women who were underweight-associated sPTB also showed evidence of dyslipidemia characterized by elevated phospholipids, unsaturated triglycerides, sphingomyelins, cholesteryl esters and long-chain acylcarnitines. In normal weight women experiencing sPTB, the relative abundance of 14(15)-epoxyeicosatrienoic acid and 14,15-dihydroxyeicosatrienoic acids to other regioisomers were altered at mid-pregnancy. This phenomenon is not yet associated with any biological process, but may be linked to estrogen metabolism. These changes were differentially modulated across BMI groups. In conclusion, using metabolomics we observed distinct BMI-dependent metabolic manifestations among women who had sPTB. These observations suggest the potential to predict sPTB mid-gestation using a new set of metabolomic markers and BMI stratification. This study opens the door to further investigate the role of cytochrome P450/epoxide hydrolase metabolism in sPTB.

2013 ◽  
Vol 20 (5) ◽  
pp. 345-350 ◽  
Author(s):  
Meggie Thuot ◽  
Marc-André Coursol ◽  
Sonia Nguyen ◽  
Vanessa Lacasse-Guay ◽  
Marie-France Beauchesne ◽  
...  

BACKGROUND: Only one study has investigated the combined effect of maternal asthma and obesity on perinatal outcomes; however, it did not consider small-for-gestational age and large-for-gestational age infants.OBJECTIVES: To examine the impact of obesity on perinatal outcomes among asthmatic women.METHODS: A cohort of 1386 pregnancies from asthmatic women was reconstructed using three of Quebec’s administrative databases and a questionnaire. Women were categorized using their prepregnancy body mass index. Underweight, overweight and obese women were compared with normal weight women. The primary outcome was the birth of a small-for-gestational-age infant, defined as a birth weight below the 10th percentile for gestational age and sex. Secondary outcomes were large-for-gestational-age infants (birth weight >90th percentile for gestational age) and preterm birth (<37 weeks’ gestation). Logistic regression models were used to obtain the ORs of having small-for-gestational-age infants, large-for-gestational-age infants and preterm birth as a function of body mass index.RESULTS: The proportions of underweight, normal weight, overweight and obese women were 10.8%, 53.3%, 19.7% and 16.2%, respectively. Obese asthmatic women were not found to be significantly more at risk for giving birth to small-for-gestational-age infants (OR 0.6 [95% CI 0.4 to 1.1]), large-for-gestational-age infants (OR 1.2 [95% CI 0.7 to 2.2]) or having a preterm delivery (OR 0.7 [95% CI 0.4 to 1.3]) than normal-weight asthmatic women.CONCLUSIONS: No significant negative interaction between maternal asthma and obesity on adverse perinatal outcomes was observed.


Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Britta Larsen ◽  
Matthew Allison ◽  
Eugene Kang ◽  
Sarah Saad ◽  
Gail A Laughlin ◽  
...  

Background: Excess abdominal adipose tissue has been identified as an important factor in the development of type II diabetes. Lean muscle tissue also plays an important role in glucose regulation, yet research on the role of muscle in diabetes etiology is limited. Abdominal muscle mass could be particularly relevant for normal weight diabetics, for whom excessive abdominal adipose tissue may play less of a role. Objective: To explore the association between muscle-to-abdominal cavity area ratio and prevalent diabetes in older community-dwelling women in the Rancho Bernardo Study, UCSD Filipino Women’s Health Study, and the Health Assessment Study of African-American Women. Methods: Participants were 421 women (40% Caucasian, 28% Filipina, 32% African American) with a mean age of 64 (6.9) years. Abdominal muscle and fat areas were measured using computed tomography (CT) scans, and were used to compute a muscle-to-abdominal cavity area ratio (MACR). Based on body mass index (BMI), participants were classified as normal weight (18-24.9 kg/m2), overweight (25-29.9), or obese (30+). Prevalent diabetes was defined as self-report of physician diagnosis, anti-diabetes medication use, fasting morning glucose ≥ 126 mg/dL or 2 hour glucose ≥ 200mg/dL. MACR was modeled per standard deviation (SD) and logistic regression was used to examine the association with diabetes while adjusting for relevant covariates. Results: Prevalent diabetes was seen in 12.8% of the sample (54 of 421). In age and race/ethnicity adjusted models, each SD increase in MACR was associated with significant reduced odds of diabetes (OR = 0.62, CI: 0.43-0.89, p = 0.01), which remained significant after further adjustment for BMI category, smoking, physical activity, hypertension, anti-hypertensive drugs, and estrogen use (OR = 0.64, CI: 0.41-0.98, p = .041). The association was modestly attenuated after further adjusting for visceral fat area (OR = 0.70, CI: 0.44-1.10, p = 0.12). Normal weight women with diabetes had significantly less total muscle (p = 0.045) and smaller MACR’s (p = 0.001) than those without diabetes, while this was not seen for overweight or obese women with diabetes. Stratified by BMI category, MACR was significantly associated with lower odds of diabetes for normal weight women across all three models (fully adjusted OR = 0.37, CI: 0.15-0.90, p =.03), yet was not associated with diabetes in any models for women who were overweight or obese (all p > 0.50). Interactions of MACR with race/ethnicity were not significant. Conclusions: Muscle-to-abdominal cavity ratio is associated with reduced likelihood of type II diabetes in women. This association differs by BMI category, with muscle showing the greatest protection in normal weight women, and no effect in overweight or obese women. This highlights the potential role of low muscle mass as a risk factor for diabetes, particularly in women who may appear to be at low risk.


2019 ◽  
Vol 5 (1) ◽  
pp. 162-168
Author(s):  
Didik Rio Pambudi ◽  
Ashon Sa�adi ◽  
Sudjarwo Sudjarwo

Obesity-related to the result of decreased reproduction. Obese women are more prone to abnormal anovulation and uterine bleeding, endometrial hyperplasia/cancer, infertility, miscarriage, and pregnancy complications, compared to women of normal weight. This study aims to determine the levels of anti-Mullerian hormone (AMH) in the serum at various BMI (body mass index), also to determine the relationship and correlation between obesity and AMH levels in serum. The population in the study were women aged 20 years to 40 years with less BMI, Normal BMI and Obesity BMI. The study subjects were women between the ages of 20 to 40 years with a BMI less than 17-19.9, obesity BMI = 25 and normal BMI 20-25 as controls. Height measurement, weight weighing, and BMI calculation carried out according to the standard and subject to approval. Taking blood samples for the examination of AMH levels carried out by the RSKI laboratory (Infection Special Hospital) Airlangga University. The results of the data processed with SPSS 25 with the Shapiro-Wilk normality test and Mann Whitney statistical analysis for different tests and Spearman analysis for the correlation test. The results of the study found homogeneous samples, there were no significant differences between the AMH levels of the less and obese groups with, p = 0.832 (p> 0.05). AMH levels in BMI were less (0.459 � 0.112 ng / mL) than obesity BMI (0.432 � 0.058 ng / mL), so it was concluded that AMH levels did not correlate with less BMI with obesity BMI, with a correlation value (r) = -0.105 (p = 0.643; p> 0.05). The results of this study concluded that body mass index not related and does not correlate with the levels of anti-Mullerian hormone in the serum.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ying Hu ◽  
Qi Wu ◽  
Luyang Han ◽  
Yuqing Zou ◽  
Die Hong ◽  
...  

Abstract The aim of this study is to investigate the association between maternal gestational weight gain (GWG) and preterm birth according to pre-pregnancy body mass index (BMI) and maternal age. We did a cohort, hospital-based study in Quzhou, South China, from 1 Jan 2018 to 30 June 2019. We selected 4274 singleton live births in our analysis, 315 (7.4%) of which were preterm births. In the overall population, excess GWG was significantly associated with a decreased risk of preterm birth compared with adequate GWG (adjusted OR 0.81 [95% CI 0.72–0.91]), and the risk varied by increasing maternal age and pre-pregnancy BMI. Interestingly, underweight women who older than 35 years with excess GWG had significantly increased odds of preterm birth compared with adequate GWG in underweight women aged 20–29 years (2.26 [1.06–4.85]) and normal weight women older than 35 years (2.23 [1.13–4.39]). Additionally, low GWG was positively and significantly associated with preterm birth overall (1.92 [1.47–2.50]). Among normal weight women category, compared with adequate GWG women aged 20–29 years did, those older than 20 years with low GWG, had significantly higher odds of preterm birth, which increased with maternal age (1.80 [1.16–2.79] in 20–29 years, 2.19 [1.23–3.91] in 30–34 years, 3.30 [1.68–6.46] in ≫ 35 years). In conclusion, maternal GWG was significantly associated with the risk of preterm birth, but the risk varied by pre-pregnancy BMI and maternal age.


2019 ◽  
Vol 47 (6) ◽  
pp. 585-591 ◽  
Author(s):  
Tanja Premru-Srsen ◽  
Zorana Kocic ◽  
Vesna Fabjan Vodusek ◽  
Ksenija Geršak ◽  
Ivan Verdenik

Abstract Background Identifying the risk factors for preeclampsia (PE) is essential for the implementation of preventive actions. In the present study, we aimed at exploring the association between total gestational weight gain (GWG) and PE. Methods We performed a population-based cohort survey of 98,820 women with singleton pregnancies who delivered in Slovenia from 2013 to 2017. Aggregated data were obtained from the National Perinatal Information System (NPIS). The main outcome measure was the incidence of PE. The main exposure variable was total GWG standardized for the gestational duration by calculating the z-scores. The associations between total GWG and PE stratified by pre-pregnancy body mass index (BMI) categories adjusted for a variety of covariates were determined using multivariable logistic regression. We calculated the crude odds ratio (OR) and adjusted odds ratio (aOR) with a 95% confidence interval using a two-way test. Results Excessive GWG was associated with increased odds of PE in all pre-pregnancy BMI categories. The increase in the odds of PE by 445% was the highest in underweight women and by 122% was the lowest in obese women. Low GWG was associated with decreased odds of PE in all pre-pregnancy BMI categories except in normal-weight women with a GWG below −2 standard deviation (SD) and underweight women. The decrease in the odds of PE by 67% was the highest in obese women and by 41% was the lowest in normal-weight women. Conclusion Excessive GWG is a significant risk factor for PE, especially in underweight women, while low GWG is an important protective factor against PE, especially in obese women.


2009 ◽  
Vol 169 (11) ◽  
pp. 1319-1326 ◽  
Author(s):  
M. S. Kramer ◽  
J. Lydon ◽  
L. Seguin ◽  
L. Goulet ◽  
S. R. Kahn ◽  
...  

2016 ◽  
Vol 49 (4) ◽  
pp. 463-477 ◽  
Author(s):  
Euna Han ◽  
Tae Hyun Kim

SummaryThis study assesses differential labour performance by body mass index (BMI), focusing on heterogeneity across three distinct employment statuses: unemployed, self-employed and salaried. Data were drawn from the Korean Labor and Income Panel Study. The final sample included 15,180 person-year observations (9645 men and 5535 women) between 20 and 65 years of age. The findings show that (i) overweight/obese women are less likely to have salaried jobs than underweight/normal weight women, whereas overweight/obese men are more likely to be employed in both the salaried and self-employed sectors than underweight/normal men, (ii) overweight/obese women have lower wages only in permanent salaried jobs than underweight/normal weight women, whereas overweight/obese men earn higher wages only in salaried temporary jobs than underweight/normal weight women, (iii) overweight/obese women earn lower wages only in service, sales, semi-professional and blue-collar jobs in the salaried sector than underweight/normal weight women, whereas overweight/obese men have lower wages only in sales jobs in the self-employed sector than underweight/normal weight women. The statistically significant BMI penalty in labour market outcomes, which occurs only in the salaried sector for women, implies that there is an employers’ distaste for workers with a high BMI status and that it is a plausible mechanism for job market penalty related to BMI status. Thus, heterogeneous job characteristics across and within salaried versus self-employed sectors need to be accounted for when assessing the impact of BMI status on labour market outcomes.


2017 ◽  
Vol 8 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Zhouping Zou ◽  
Yamin Zhuang ◽  
Lan Liu ◽  
Bo Shen ◽  
Jiarui Xu ◽  
...  

Background/Aims: To explore the association of body mass index (BMI) with the risk of developing acute kidney injury after cardiac surgery (CS-AKI) and for AKI requiring renal replacement therapy (AKI-RRT) after cardiac surgery. Methods: Clinical data of 8,455 patients undergoing cardiac surgery, including demographic preoperative, intraoperative, and postoperative data were collected. Patients were divided into underweight (BMI <18.5), normal weight (18.5≤ BMI <24), overweight (24≤ BMI <28), and obese (BMI ≥28) groups. The influence of BMI on CS-AKI incidence, duration of hospital, and intensive care unit (ICU) stays as well as AKI-related mortality was analyzed. Results: The mean age of the patients was 53.2 ± 13.9 years. The overall CS-AKI incidence was 33.8% (n = 2,855) with a hospital mortality of 5.4% (n = 154). The incidence of AKI-RRT was 5.2% (n = 148) with a mortality of 54.1% (n = 80). For underweight, normal weight, overweight, and obese cardiac surgery patients, the AKI incidences were 29.9, 31.0, 36.5, and 46.0%, respectively (p < 0.001). The hospital mortality of AKI patients in the 4 groups was 9.5, 6.0, 3.8, and 4.3%, whereas the hospital mortality of AKI-RRT patients in the 4 groups was 69.2, 60.8, 36.4, and 58.8%, both significantly different (p < 0.05). Hospital and ICU stay durations were not significantly different in the 4 BMI groups. Conclusion: The hospital prognosis of AKI and AKI-RRT patients after cardiac surgery was best when their BMI was in the 24-28 range.


2019 ◽  
Author(s):  
Xing Chen ◽  
Ning Huang ◽  
Chaoqun Liu ◽  
Yue Chen ◽  
Lulu Huang ◽  
...  

Abstract Background: Gut microbiota has been proven to disease susceptibility and may lead to increased risk of preterm birth. To date, the link of gut microbial-related metabolite trimethylamine-N-oxide (TMAO), L-carnitine, and betaine, with spontaneous preterm birth (sPTB) has not been established. This study aimed to investigate the association of TMAO, L-carnitine and betaine, with sPTB risk. Methods: A nested case-control study was designed including 129 sPTB cases and 258 controls based on Guangxi Birth Cohort Study. TMAO, L-carnitine, and betaine level in maternal serum were determined by liquid chromatography with mass spectrometry. Conditional logistic regression analyses were used to examine the association between maternal serum metabolites and sPTB. Stratified analyses were further conducted according to BMI and preterm prelabor rupture of membranes. Spline analyses were performed to explore the dose-response relationship between the metabolites and sPTB.Results: Statistically significant association with decreased sPTB risk was observed for the highest L-carnitine (OR: 0.47; 95% CI: 0.23, 0.95). In risk analyses stratified by BMI, similar results were observed in normal weight gravida (BMI: 18.5~23.9 kg/cm2). The significant subtype-specific association with TMAO (OR: 0.43; 95% CI: 0.20, 0.93) and L-carnitine (OR: 0.45; 95% CI: 0.21, 0.97) were observed for preterm labor but not PPROM. Spline regression analysis indicated non-linear associations with TMAO and sPTB risk (P for nonlinearity: 0.057). Significant associations of TMAO with sPTB were observed in normal weight gravida (P = 0.028) and preterm labor subtype (P = 0.025). No statistically significant associations with sPTB risk were observed for betaine (P > 0.05).Conclusions: TMAO and L-carnitine levels in maternal serum are inversely linked with sPTB risk. Discovery of the association between gut-microbiota initiated TMAO metabolism and sPTB may open new avenues for diagnose and therapy.


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