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Citation: Nutrition & Diabetes (2017) 7, e253; doi:http://dx.doi.org/10.1038/nutd.2017.9
Web End =10.1038/nutd.2017.9
http://www.nature.com/nutd
Web End =www.nature.com/nutd
K Mokkala1,2, K Tertti3, T Rnnemaa4, T Vahlberg5 and K Laitinen1,2
Diet has an important role in regulating intestinal permeability and subsequently the risk for metabolic disorders. In this observational study, we examined whether serum intestinal permeability marker zonulin, could be used as a predictor for gestational diabetes mellitus (GDM). Serum zonulin concentration was measured in early pregnancy in overweight or obese pregnant women (n = 88) at risk for developing GDM. Serum zonulin was associated with higher odds of GDM (adjusted OR for 1 ng ml1 increase in zonulin: 1.08, 95% CI: 1.021.15; P = 0.009), diagnosed by a 2-h 75-g oral glucose tolerance test at late pregnancy. The optimal cutoff value was 43.3 ng ml1, with sensitivity of 88% (95% CI: 71100%) and specicity of 47% (95% CI: 3358%). The area under the ROC-curve was 0.67 (95% CI: 0.540.81). Our results show an association between increased early-
Nutrition & Diabetes (2017) 7, e253; doi:http://dx.doi.org/10.1038/nutd.2017.9
Web End =10.1038/nutd.2017.9 ; published online 20 March 2017
INTRODUCTION
Diet and lifestyle, particularly obesity, are well-established risk factors for gestational diabetes (GDM). Zonulin is a proposed serum marker for intestinal permeability,1 the increased concentrations reecting an increased intestinal permeability. This, in turn, has been shown to positively associate with elevated inammatory markers2 and again with insulin resistance3,4 in non-pregnant populations. Diet composition has recently been shown to associate with serum zonulin concentration,5 suggesting a new mechanism for how diet may contribute to the onset of inammation associated metabolic disorders.
We investigated whether an increased serum zonulin concentration could be used as a tool to predict GDM in early pregnancy, as reliable markers are lacking. Currently, the diagnosis of GDM is based on the oral glucose tolerance test (OGTT) generally performed at the second trimester of the pregnancy.
RESEARCH DESIGN AND METHODS
This pilot study comprised overweight or obese women at risk for
GDM from an ongoing mother-infant dietary intervention trial aimed at preventing GDM (ClinicalTrials.gov, NCT01922791). This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the Ethics Committee of the Hospital District of Southwest Finland (permission number 115/180/2012). Written informed consent was obtained from all subjects. Hundred women at early pregnancy (the baseline study visit; mean 12.8, s.d: 2.5 weeks of gestation), were included in this study for analysis of serum zonulin using a Zonulin ELISA kit (Immundiagnostik AG, Bernsheim, Germany; inter-assay variation 10.6%).
GDM was diagnosed based on 2-h 75-g OGTT if one or more values were above the threshold level: 0 h 5.3, 1 h 10.0, 2 h 8.6 mmol l1 (The Finnish Medical Society guidelines, which are
SHORT COMMUNICATION
Evaluation of serum zonulin for use as an early predictor for gestational diabetes
pregnancy serum zonulin concentration and GDM, suggesting zonulin as a possible predictor for GDM.
in accordance with the American Diabetes Association 2007 guidelines). Twelve subjects either withdraw from the study (n = 9), had miscarriage (n = 2) or refused the OGTT (n = 1), and thus, the nal study population comprised 88 women. BMI of the women did not differ between those who remained in the study (mean 30.8, s.d.: 4.5) compared to those who dropped out (mean 30.0, s.d.: 5.3).
The OGTT was performed at 26 (s.d.: 3) weeks of gestation (midpregnancy OGTT). In high-risk mothers (n = 25) the OGTT was performed already at 14 (s.d.: 2) weeks of gestation (early-pregnancy OGTT) and if negative retest was performed at midpregnancy.
Statistics
Serum zonulin concentrations were compared between mothers with or without GDM by independent-samples t-test. The association between serum zonulin and GDM was analyzed with binary logistic regression after adjustment for BMI, previous GDM (n = 5), diagnosis of type 2 diabetes or metabolic syndrome of the parents of the mother and study group of the original intervention setting. Receiver-operating characteristics (ROC) analysis and the Youden index (sensitivity+specicity-1) were calculated to nd the optimal cutoff value for serum zonulin to predict GDM. The maximum value of the Youdens index was used as a criterion for selecting the optimal cutoff value for serum zonulin. Sensitivity, specicity, positive predictive value (PPV) and negative predictive value (NPV) were determined. Statistical analyses were performed with IBM SPSS Statistics for Windows version 23.0 by a statistician (TV) independent of the study planning and execution, and other researchers were kept blind with regard to the study code.
RESULTS
The mean (s.d.) age of the women was 30.1 (4.9) years and prepregnancy body mass index (BMI) was 30.8 (4.3) kg m2. Forty-three percent were overweight (BMI 2529.99 kg m2), 57% were
1Institute of Biomedicine, University of Turku, Turku, Finland; 2Functional Foods Forum, University of Turku, Turku, Finland; 3Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland; 4Department of Medicine, Institute of Clinical Medicine, University of Turku and Turku University Hospital, Turku, Finland and 5Department of Clinical Medicine, Biostatistics, University of Turku and Turku University Hospital, Turku, Finland. Correspondence: Dr K Laitinen, University of Turku, Turku, FI-20014 Finland. E-mail mailto:[email protected]
Web End =Kirsi.Laitinen@utu. Received 13 September 2016; revised 10 November 2016; accepted 15 January 2017
Zonulin for predicting gestational diabetes K Mokkala et al
2 obese (BMI 30 kg m2) and 42% were primiparas. GDM was diagnosed in 24 mothers out of 88 (27%). Eight were diagnosed in early pregnancy, and 16 were diagnosed in midpregnancy. No
statistically signicant differences in baseline parameters were detected between the women with GDM compared to those remaining without GDM (Table 1).
Table 1. Clinical characteristics of the women remaining healthy and developing GDM in early pregnancy
Women remaining without GDM (n = 64) Women developing GDM (n = 16)
Gestational weeks (mean (s.d.)) 12.9 (2.5) 12.9 (2.1) BMI (mean (s.d.)) 30.4 (4.4) 30.9 (3.2) Prepregnancy BMI (mean (s.d.)) 30.1 (4.4) 30.1 (3.5) Age (mean (s.d.)) 30.1 (4.8) 29.5 (3.7) Primipara (n (% of subjects in group)) 26 (41%) 7 (44%) Previous GDM (n (% subjects in group) 4 (6.3%) 1 (6.3%) Gestational weeks at the time of GDM diagnosis 25.6 (2.2) 25.6 (2.7)
Figure 1. (a) Dot blot of early-pregnancy serum zonulin values according to GDM positive and negative subjects at midpregnancy. (b) ROC curve for serum zonulin concentration to predict the GDM. AUC was 0.67 (95% CI: 0.54 to 0.81). An optimal cutoff value (sphere in gure) for serum zonulin maximizing the Youden Index was 43.3 ng ml1, with a sensitivity of 88% (95% CI: 71100%), specicity of 47% (95% CI: 3358%), positive predictive value 29% (95% CI: 1641%) and negative predictive value 94% (95% CI: 85100%). (c) Number of GDM positive and negative subjects at midpregnancy according to serum zonulin cutoff ( 43.3 and o43.3 ng ml1).
Nutrition & Diabetes (2017) 1 3
Zonulin for predicting gestational diabetes K Mokkala et al
3
The mean (s.d.) serum zonulin concentration was 47.0(11.2) ng ml1. The early-pregnancy serum zonulin concentration was higher in women who developed GDM at midpregnancy (mean (s.d.) 53.4 (14.3) ng ml1; n = 16) compared to those who did not (45.2 (9.7) ng ml1, P = 0.008, n = 64; Figure 1a). The result was similar when all the women diagnosed positive for GDM were taken into account (serum zonulin in women with51.6 (13.5) ng ml1, n = 24 and remaining without GDM 45.2(9.7) ng ml1, n = 64, P = 0.008).
Serum zonulin concentration was associated with higher odds of
GDM at midpregnancy (adjusted (for BMI, previous GDM, original intervention group) OR for one-unit (ng ml1) increase in zonulin:1.08, 95% CI: 1.021.15; P = 0.009). The result was similar when the eight women diagnosed in early pregnancy were included in the analysis (adjusted OR: 1.07, 95% CI: 1.011.12, P = 0.016). After adjustment for type 2 diabetes or metabolic syndrome of the parents of the mother, the results did not change. Using ROC curve analyses (Figure 1b) and the Youden Index, the optimal cutoff value for serum zonulin was 43.3 ng ml1 in predicting midpregnancy
GDM, with a sensitivity of 88% (95% CI: 71100) and specicity of 47% (95% CI: 3358). This concentration had a PPV of 29% (95% CI: 1641) and NPV of 94% (95% CI: 85100). The area under the ROC-curve (AUC) was 0.67 (95% CI: 0.540.81; Figure 1b). Further, using the cutoff value, 14 of the GDM positive subjects in midpregnancy had serum zonulin concentration above the zonulin cutoff and two below (Figure 1c).
DISCUSSIONWe demonstrated that serum zonulin concentration measured in early pregnancy was higher in women diagnosed with GDM compared to those remaining without GDM. Importantly, the elevated serum zonulin concentrations were detected prior to GDM diagnosis. Thus, measurement of serum zonulin concentration may be taken as a predictor for an increased risk of GDM, the likely mechanism being induction of inammation and interference of the action of insulin receptors.6
Previously, some other serum markers determined in early pregnancy have been evaluated for use in predicting GDM with a variable success. Measurement of fasting plasma glucose yielded a sensitivity of 47 and specicity of 77%.7 Further, HbA1c demonstrated a sensitivity of 19 and specicity of 95%, and fructosamine a sensitivity of 12 and specicity of 95%,8 and hs-CRP a sensitivity of 37 and specicity of 87%.9 In light of these previous studies, and also a meta-analysis10 regarding adiponectin measurement at the rst trimester of pregnancy (pooled sensitivity of 60 and specicity of 81%, AUC 0.79), the sensitivity of 88%, in the present study is encouraging. In this study, twelve of the hundred women measured for serum zonulin concentration dropped out. We consider there is no bias due to these drop outs, since BMI did not differ between those who remained in the study compared to withdrawn. This is a pilot study and further research, both with higher number of subjects being in risk group for GDM and with unselected pregnant women, is needed before applying the measurement of serum zonulin for prediction purposes of GDM. It is of note that, currently, the prevalence of overweight is ~ 30% in young women at fertility age and thus a relatively large proportion of pregnant women are at an increased risk for GDM. Novel markers for identication of subjects that would likely benet from lifestyle counselling is of importance as encouraging results in reducing the risk for GDM has been recently provided. However, it may also be reasonable to only test women being in high-risk group for GDM, as this would result in effective screening for those in need for intensied lifestyle modication already at early pregnancy. Further, the measurement result itself may act as a motivator for lifestyle modications. The suboptimal level of specicity detected (47%) in zonulin measurement is thus of less
importance. However, the possibility of false positivity needs to be taken into account in counselling. We would like to emphasize the importance of individual counselling in which the known risk factors for the onset of GDM are taken into account as a whole.
It is proposed here that the serum zonulin concentration, measured from a single blood sample, may be used as a marker for glucose metabolism, particularly in large population based dietary studies.
CONFLICT OF INTEREST
The authors declare no conict of interest.
ACKNOWLEDGEMENTS
This work was supported by the Academy of Finland (#258606), State research funding for university-level health research of the Turku University Hospital Expert Responsibility Area and Pivikki and Sakari Sohlberg foundation (personal funding for KM).
AUTHOR CONTRIBUTIONSKM and KL designed the study, KL organized the data collection, KM performed the serum zonulin analyses, TV performed the statistical analyses and all authors contributed to the interpretation of results and manuscript writing.
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Copyright Nature Publishing Group Mar 2017
Abstract
Diet has an important role in regulating intestinal permeability and subsequently the risk for metabolic disorders. In this observational study, we examined whether serum intestinal permeability marker zonulin, could be used as a predictor for gestational diabetes mellitus (GDM). Serum zonulin concentration was measured in early pregnancy in overweight or obese pregnant women (n=88) at risk for developing GDM. Serum zonulin was associated with higher odds of GDM (adjusted OR for 1 ng ml -1 increase in zonulin: 1.08, 95% CI: 1.02-1.15; P=0.009), diagnosed by a 2-h 75-g oral glucose tolerance test at late pregnancy. The optimal cutoff value was 43.3 ng ml-1 , with sensitivity of 88% (95% CI: 71-100%) and specificity of 47% (95% CI: 33-58%). The area under the ROC-curve was 0.67 (95% CI: 0.54-0.81). Our results show an association between increased early-pregnancy serum zonulin concentration and GDM, suggesting zonulin as a possible predictor for GDM.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer