scholarly journals Association of Circulating Omega 3, 6 and 9 Fatty Acids with Gestational Diabetes Mellitus: A Systematic Review

Author(s):  
shaghayegh hosseinkhani ◽  
Hojat Dehghanbanadaki ◽  
Hossein Aazami ◽  
Parvin Pasalar ◽  
Mojgan Asadi ◽  
...  

Abstract Background: Gestational diabetes mellitus (GDM) is associated with increased risks of disease for mother and child during pregnancy and after that. Early diagnosis of GDM would promote both maternal and fetal health. Metabolomics can simplify and develop our understanding of the etiology, manifestation, or pathophysiology of the disease. This systematic review investigates the association of circulating omega 3, 6, and 9 fatty acids with GDM.Methods: We conducted a systematic search of PubMed, Scopus, Web of Science and EMBASE databases up to May 8, 2020, using the key term combinations of all types of omega fatty acids with gestational diabetes mellitus. Additional articles were identified through searching the reference lists of included studies.Results: This systematic review included 14 articles. four were cohort studies, four included case-control studies and four were case-control studies. Omega fatty acids, as potential biomarkers, are considered to be associated with GDM risk and thus provide useful information regarding the prevention and early diagnosis of GDM. Moreover, existing metabolomic studies on GDM are shown to provide conflicting results about metabolite profile characteristics. Conclusions: The results of this study demonstrate an increasing trend in the amount of oleic acid and palmitoleic acid in the second trimester and an increase in decosahexanoic acid in the third trimester of GDM mothers. The changes in other fatty acids of interest are either not significant or if significant, their results are inconsistent with the other exisiting articles. This systematic review was registered at PROSPERO (www.crd.york.ac.uk/PROSPERO) as CRD42020196122.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaghayegh Hosseinkhani ◽  
Hojat Dehghanbanadaki ◽  
Hossein Aazami ◽  
Parvin Pasalar ◽  
Mojgan Asadi ◽  
...  

Abstract Background Gestational diabetes mellitus (GDM) is associated with increased risks of disease for mother and child during pregnancy and after that. Early diagnosis of GDM would promote both maternal and fetal health. Metabolomics can simplify and develop our understanding of the etiology, manifestation, or pathophysiology of the disease. This systematic review investigates the association of circulating omega 3, 6, and 9 fatty acids with GDM. Methods We conducted a systematic search of PubMed, Scopus, Web of Science, and EMBASE databases up to May 8, 2020, using the key term combinations of all types of omega fatty acids with gestational diabetes mellitus. Additional articles were identified through searching the reference lists of included studies. Results This systematic review included 15 articles. Five were cohort studies, four included nested case-control studies and four were case-control studies. The results of this study demonstrate an increasing trend in the amount of oleic acid and palmitoleic acid in the second trimester and an increase in decosahexanoic acid in the third trimester of GDM mothers. The changes in other fatty acids of interest are either not significant or if significant, their results are inconsistent with the other existing articles. Conclusions Omega fatty acids, as potential biomarkers, are considered to be associated with GDM risk and thus provide useful information regarding the prevention and early diagnosis of GDM. Moreover, existing metabolomic studies on GDM are shown to provide conflicting results about metabolite profile characteristics. This systematic review was registered at PROSPERO (www.crd.york.ac.uk/PROSPERO) as CRD42020196122.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Enitan Ogundipe ◽  
Saidee Samuelson ◽  
Michael A. Crawford

Abstract Objective To elucidate whether women at risk of gestational diabetes mellitus (GDM) have a unique fatty acid profile compared to women considered normal healthy controls (NHC). Methods Three hundred pregnant women were randomized to a control group (NHC) (n = 50) and to one of three high risk groups (n = 250), one of which was GDM (n = 50). At recruitment participants’ booking bloods were taken and analyzed for lipid profiles. The GDM group’s fatty acid profile is reported here. Results GDM women compared to NHC had elevated levels of omega 6 (n-6) fatty acids compared to omega 3 (n-3) fatty acids (p = 0.01), of linoleic acid (LA) to docosahexaenoic acid (DHA) p = 0.001, sequentially distorted levels of n-6 fatty acids LA and arachidonic acid (ArA) p = 0.035, as well as significantly depressed levels of n-3 DHA (p = 0.01). Conclusion This paper shows that GDM women have a unique fatty acid profile with elevated levels of n-6 fats, depressed levels of n-3 fats and an abnormal pattern of sequential n-6 metabolism. This profile probably results from a combination of factors including underexpression and or poor utilization of desaturase enzymes, suboptimal dietary fatty acids intake, poor micronutrient status or dysbiosis of the microbiome. These results help inform development of a clinical predictive tool.


2021 ◽  
Author(s):  
Dandan Yan ◽  
Yang Jiao ◽  
Honglin Yan ◽  
Tian Liu ◽  
Hong Yan ◽  
...  

Abstract Objective To conduct a comprehensive systematic review and meta-analysis to estimate the relationship between EDCs, including polychlorinated biphenyls (PCBs), poly-brominated diphenyl ethers (PBDEs), phthalates (PAEs), and per- and polyfluoroalkyl substances (PFAS) exposure and risk of gestational diabetes mellitus (GDM). Methods Relevant literatures were identified by searching Embase, Pubmed, and Web of Science through November 2021. The cohort and case-control studies reporting effect size with 95% confidence intervals (CIs) of EDCs exposure and GDM were selected. The heterogeneity among the included studies were quantified by I2 statistic. Publication bias was evaluated through the Begg’s and Egger’s tests. Results Twenty-five articles with a total of 23, 796 participants were finally identified. The results indicated that exposure to PCBs have a significant impact on the incidence of GDM (OR = 1.14; 95% CI = 1.00-1.31; n = 8). For PBDEs exposure, a positive association was observed for the risk of GDM (OR = 1.32; 95% CI=1.15-1.53; n = 4). Similarly, for PAEs and PFASs exposure, they were also positively associated with the risk of GDM, with summary ORs were 1.10 (95% CI = 1.03-1.16; n = 7 for PAEs) and 1.09 (95% CI = 1.02-1.16; n = 11 for PFASs), respectively. When only included the cohort studies, the summary OR between PCBs exposure and the risk of GDM was 0.99 (95% CI = 0.91-1.09; n = 5). While, for PBDEs, PAEs, and PFASs exposure, the summary ORs from cohort studies were 1.12 (95% CI = 1.00-1.26; n = 2), 1.08 (95% CI =1.02-1.15; n = 5), and 1.06 (95% CI = 1.00-1.12; n = 8), respectively. The Begg’s and Egger’s tests didn’t show publication bias and the sensitivity analyses didn’t change the results in the present meta-analysis. Conclusion These results support the notion that EDCs exposure increases the risk of GDM. Further large-sample epidemiologic researches and mechanistic studies are needed to verify the potential relationship and biological mechanisms. These results are of public health significance since daily EDCs exposure have been expected to increase the risk of GDM development.


2018 ◽  
Vol 1 (2) ◽  
pp. 94-98
Author(s):  
Mufdlilah Mufdlilah ◽  
Fijri Rachmawati

Excessive fetal weight is considered as a health issues because it increases perinatal and maternal morbidity and mortality. The prevalence of macrosomia worldwide has increased over the past 2 to 3 decades. This study aimed to determine correlation between the incidence of gestational diabetes mellitus and macrosomia among pregnant women. The design of this study was analytical with a case control approach. Data used to analyze the incidence of macrosomia based on secondary data from 2014-2018. This research suggested that diabetes mellitus in pregnancy has a significant relationship with the incidence of macrosomia.


2019 ◽  
Author(s):  
Jose Alberto Martínez-Hortelano ◽  
Ivan Cavero Redondo ◽  
Celia Alvarez ◽  
Ana Díez-Fernández ◽  
Montserrat Hernández-Luengo ◽  
...  

2021 ◽  
Vol 38 ◽  
pp. 101016
Author(s):  
Gayathri Delanerolle ◽  
Peter Phiri ◽  
Yutian Zeng ◽  
Kathleen Marston ◽  
Nicola Tempest ◽  
...  

Author(s):  
Cinzia Murgia ◽  
Marisa Orrù ◽  
Elaine Portoghese ◽  
Nicoletta Garau ◽  
Pierina Zedda ◽  
...  

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