The role of maternal gut hormones in normal pregnancy: fasting plasma active glucagon-like peptide 1...
Transcript of The role of maternal gut hormones in normal pregnancy: fasting plasma active glucagon-like peptide 1...
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The role of maternal gut hormones in normal pregnancy: Fasting plasma active GLP-1 level is
a negative predictor of fetal abdomen circumference and maternal weight change
Georgios Valsamakis1, Alexandra Margeli
2, Nikolaos Vitoratos
1, Anastassios Boutsiadis¹, Evangelos
.G. Sakkas¹, George. Papadimitriou1, Nasser M. Al-Daghri
3, Dimitrios Botsis¹, Sudhesh Kumar
3,
Ioannis Papassotiriou2, George Creatsas
1 and George Mastorakos
1
1Endocrine Unit, 2
nd Department of Obstetrics and Gynecology, Aretaieion University Hospital,
Athens Medical School, Athens, Greece,
2Department of Clinical Biochemistry, “Aghia Sophia” Children’s Hospital, Athens, Greece,
3Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM),
University Hospital Coventry and Warwick Medical School, Coventry, UK
Running title: Fasting active GLP-1 in normal pregnancy
Word Count: 2971
Corresponding author
Ass Prof. George Mastorakos, MD, DSc
3, Neofytou Vamva
Athens 10674 Greece
Fax: 00302103636229, tel:00302103636230
Email: [email protected]
Page 1 of 23 Accepted Preprint first posted on 1 March 2010 as Manuscript EJE-10-0047
Copyright © 2010 European Society of Endocrinology.
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Abstract
Objective: Maternal weight in pregnancy contributes to glycemic environment affecting fetal
growth. Gut peptides (GLP-1; GIP; ghrelin; PYY) have been related to insulin sensitivity and
secretion, weight control and adipose tissue metabolism. This study aimed at examining the
associations of gut hormones during pregnancy with maternal glucose homeostasis, maternal weight
and fetal growth.
Methods: 55 pregnant non-obese non-diabetic Caucasian women were examined during the
three trimesters of pregnancy and had anthropometric measurements, evaluation of fasting maternal
plasma GLP-1(active), ghrelin (active), total PYY, total GIP and a 75g oral glucose tolerance test.
Homeostasis model assessment (HOMA-R), insulin sensitivity index (ISI), and indices of insulin
secretion were calculated. Fetal growth was estimated by ultrasound.
Results: Fasting GLP-1 increased significantly from second to third trimester (p<0.05).
Fasting GLP-1 correlated positively with HDL-C (r=0.52, p=0.04). At second trimester fasting GLP-
1 levels correlated negatively with fetal abdomen circumference (r=-0.55, p=0.034), birthweight (r=-
0.50, p=0.040), HOMA-R (r=-0.65, p=0.001), insulin secretion and triglycerides. At first trimester
fasting ghrelin levels correlated negatively with HOMA-R and insulin secretion and positively with
ISI. By backwards multiple regression analysis, first trimester GLP-1 levels were the best negative
predictor of second trimester fetal abdomen circumference (beta=-0.96, p=0.009). By longitudinal
regression model, maternal fat and HOMA-R were positive and fasting GLP-1 levels negative
predictors of maternal weight change during pregnancy.
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Conclusions: During pregnancy, maternal GLP-1 might be involved in mechanisms
compensating for the pregnancy-related increase of glycemia and insulin resistance, suggesting a role
of this peptide in maternal metabolism and weight and fetal growth.
Key words: gut hormones, fasting active GLP-1, maternal weight, fetal abdomen
circumference
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Introduction
During pregnancy there is an increase of insulin resistance from second to third trimesters
(1). The prevalence of prepregnancy maternal obesity is also increasing. The negative role of excess
maternal weight gain on maternal carbohydrate metabolism during pregnancy as well as on fetal
growth is well established (2, 3, 4). Reports from Scandinavia (5) and North America (6) show an
increase of births of large for gestational age. Endometrial environment via its role on fetal growth is
important on programming of future metabolic diseases during adult life (7, 3).
The role of a new class of gut-derived peptides such as glucagon-like peptide 1 (GLP-1),
glucose-dependent insulinotropic peptide (GIP), ghrelin and peptide YY (PYY) in insulin sensitivity
and secretion, weight control and adipose tissue metabolism has been recently stressed. Glucagon-
like peptide 1, an incretin, stimulates insulin and suppresses glucagon secretion, inhibits gastric
emptying and reduces appetite and food intake. In insulin resistance states (i.e. type 2 diabetes
(T2DM) and obesity) GLP-1 secretion is decreased (8, 9). The administration of GLP-1 receptor
agonists in T2DM improves glucose homeostasis while it is followed by a dose dependent weight
loss compared to placebo (10, 11, 12). Furthermore, GIP, another incretin, has been associated to
decrease of resting energy expenditure in healthy humans (13). Ghrelin, discovered as a natural
ligand of the growth hormone secretagogue receptor type 1a, is a gut-brain peptide with
somatotropic, food intake increasing and adipogenic effects. In subjects with T2DM as well as in
those with abdominal obesity and/or metabolic syndrome ghrelin levels are low (14, 15). The gut
hormone PYY reduces feeding in obese humans and shows Y2-receptor mediated anorectic effects,
modulating neuronal activity within hypothalamic, brainstem and brain regions involved in reward
processing. Fasting circulating PYY concentrations correlate negatively with BMI and waist
circumference in humans (16, 17). In morbidly obese individuals GLP-1 and PYY levels increase
while ghrelin levels decrease after Roux-en-Y gastric bypass surgery more than after laparoscopic
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adjustable gastric banding surgery. These changes have been associated to the importance of weight
loss and the improvement insulin sensitivity (18, 19).
The aim of this study was to examine the possible physiological associations of gut hormone
levels in the same cohort of non obese, non diabetic pregnant women during the three trimesters of
pregnancy with maternal glucose homeostasis and body weight as well as with fetal growth. The
exclusion of obese or diabetic pregnant women from this study aimed at eliminating obvious
confounding factors from the study of the direct interplay among fasting gut hormones, maternal
insulin resistance and fetal growth. Further studies targeting at these specific populations should be
undertaken.
Materials and Methods
Patients
Sixty healthy pregnant Caucasian women aged 29.5 ± 4.5 (mean±SD) years with body mass
index (BMI) 24.7 ± 2.2 kg/m2 before pregnancy, with no history of T2DM or other endocrine
disease, were recruited from the Obstetrics and Gynecology outpatient clinic of a university hospital
during the first trimester of pregnancy, after exclusion of women with BMI (before pregnancy) over
30. The study was approved from the local ethics committee. Written informed consent was obtained
from all subjects.
Protocol
The recruited pregnant women were seen in the outpatient clinic once during each of the
three trimesters of their pregnancy at 10 th
-12th
, 24 th
-26 th
and 34 th
-36 th
week, respectively. Five of
the above women developed gestational diabetes during pregnancy and were subsequently excluded.
At each visit they were submitted to anthropometric measurements, a blood sampling for
measurement of gut hormones (active GLP-1, total GIP, active ghrelin, total PYY) and lipids (total
cholesterol, HDL and LDL cholesterol, triglycerides) at fasting state and an oral glucose tolerance
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test (OGTT). An ultrasound of the fetus was performed during second (24th-26th
week) and third
trimesters (34-36th
week).
Anthropometric measurements: All measurements were carried out from a single observer.
Weight of all subjects without shoes and light clothing was measured in kilograms to the nearest 0.1
kg on a beam balance. Height in meters was measured to the nearest mm using a stadiometer and the
BMI in kilograms per square meter was calculated. Maximum hip circumference in centimeters was
taken in duplicate with a 6 mm wide flexible tape at the widest part of the trochanters at horizontal
position with feet kept 20-30 cm apart. Skinfold thicknesses were measured on the left part of the
body with Harpenden skinfold caliper (Assist creative resources Ltd, Wrexham, UK) in triplicate to
the nearest 0.2 mm. Biceps and triceps thicknesses were measured at the midpoint of the upper arm,
between the acromion process and the tip of the bent elbow. Subscapular skinfold thickness was
measured at the natural fold about 2-3 mm below the shoulder blade in an oblique angle.
Suprailiac skinfold was pinched at 2-3 cm above the iliac crest on the lateral side and mid-
axillary line. The sum of all four location skinfold measurements was estimated and percent body fat
was determined by charts interpolating for age based on the Durnin and Womersly data (20). Supine
blood pressure was recorded with a mercury sphygmomanometer using the mean of three
measurements.
Blood sampling for gut hormones collection: Blood samples for measurement gut hormones
were collected in tubes with EDTA as an anticoagulant. After blood collection, DPPIV inhibitor for
GLP-1 measurement and serine protease inhibitor for active ghrelin measurement were added. Tubes
were inverted several times to mix, then they were centrifuged and the plasma that was collected
after centrifugation was aliquoted and stored at –70° C until assay.
Oral glucose tolerance test: After an overnight fast, a 75 g OGTT was performed. Glucose
and insulin levels were determined in blood samples drawn at 0, 5, 15, 30, 60, 90 and 120 min time-
points. Blood samples were stored immediately at –70° C.
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Fetal ultrasound measurements: At each ultrasound visit fetal measurements (estimated
weight, abdomen circumference, femur length, head circumference, biparietal diameter) were carried
out from a single observer. Ultrasound was performed with employing a Phillips HD11
ultrasonographer.
Blood Chemistry and hormone assays
Blood chemistry included measurements of glucose, serum total cholesterol HDL-cholesterol,
LDL-cholesterol and triglycerides was performed the Siemens Advia 1800 Clinical Chemistry
system, while insulin was determined using the Medgenic immunoenzymetric assay (Biosource,
Nivelles, Belgium).
Active GLP-1, total GIP, active ghrelin and total PYY were measured in plasma
simultaneously by a multiplex assay kit manufactured by Millipore, the Human Gut Hormone
LINCOplex Kit purchased from LINCO Research Inc, Missouri, USA). Intraassay and interassay
coefficient of variation (CV) were less than 11 % and less than 19 %, respectively, according to the
manufacturer.
Mathematical transformations
Indices of carbohydrate metabolism: a) Carbohydrate metabolism index derived from fasting
values. Insulin resistance was estimated by the homeostasis model assessment (HOMA-R) [insulin at
baseline (pmol/L) x glucose at baseline (mmol/L)]/135 (21). b) Carbohydrate metabolism indices
derived from OGTT values. Insulin sensitivity was estimated by the insulin sensitivity index
(ISI)=0.226-[0.0032 x BMI]-[0.0000645 x insulin at 120 min (pmol/L)]-[0.00375 x glucose at 90
min (mmol/L)] (22). Beta cell secretion of insulin was estimated by the following indices (25-25):
Predicted index of first phase of insulin secretion (1st PHIS) = 1283+[1.289 x insulin at 30 min
(pmol/L)]-[138.7 x glucose at 30 min (mmol/L)] +[3.772 x insulin at baseline (pmol/L)] and
predicted index of second phase of insulin secretion (2nd
PHIS) =287 + [0.4164 x insulin at 30 min
(pmol/L)]- [26.07 x glucose at 30 min (mmol/L)] + [0.9226 x insulin at baseline (pmol/L)].
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Statistical analysis
Data are described as mean ± SD (median and interquartile range for data not normally
distributed). To test the change of each variable during pregnancy the one-way repeated measures
ANOVA test was used in case of normally distributed variables and the non parametric Friedman
ANOVA test in case of non normally distributed variables. To test whether changes between
different time points were different we performed paired t-test. To test the associations between
different variables and to test correlations between differences the Spearmann correlation analysis
was performed. Backwards regression analysis was undertaken to define early predictive variables of
the second trimester. To find predictors for the maternal weight during the whole study time we used
a longitudinal regression model. A p-value of <0.05 was considered to be significant. The SPSS
statistical software was used for statistical analysis (SPSS Inc., Chicago, IL, USA) (23).
Results
1. Changes of anthropometric variables, ultrasound measurements, hormones and
carbohydrate metabolism parameters during pregnancy (Table 1)
Maternal weight and percent of total body fat increased significantly in an incremental way
from the first to the second and to the third trimesters of pregnancy (p<0.05). Ultrasound fetal
measurements of estimated weight, abdomen circumference, head circumference, biparietal
diameter, and femur increased significantly from the second to the third trimester of pregnancy
(p<0.05).
Plasma GLP-1 increased significantly from the second to the third trimester (p<0.05). There
was no statistically significant change of plasma GIP total, ghrelin active and PYY total during
pregnancy (p>0.05).
Fasting insulin levels and HOMA-R index were significantly higher in the third as compared
to the first and the second trimesters (p<0.05) while the ISI index decreased significantly in the third
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as compared to the first and the second trimesters (p<0.05). At the second and the third trimesters 1 st
PHIS and 2 nd
PHIS were significantly higher than at the first trimester (p<0.05).
2. Correlations among anthropometric variables, ultrasound measurements, hormones and
carbohydrate and lipid metabolism parameters during pregnancy
2a) Anthropometric variables, ultrasound measurements and maternal hormones
At second trimester fasting plasma GLP-1 active correlated negatively with U/S measured
fetal abdomen circumference (p=0.034, r=-0.55) (Fig 1) and birthweight (p=0.040, r=-0.50) (Fig 2).
There was no other correlation observed among anthropometric variables, ultrasound measurements
and hormones.
2b) Hormones, carbohydrate metabolism parameters and lipids
At first trimester fasting plasma active ghrelin levels correlated negatively with HOMA-R
(p=0.027, r=-0.50), 1 st
PHIS (p=0.03, r=-0.49) and 2nd
PHIS (p=0.04, r=-0.41) and positively with
ISI (p=0.009, r=0.77). Fasting plasma GLP-1 correlated positively with HDL-C (p=0.04, r=0.52). At
second trimester fasting plasma GLP-1 active levels correlated negatively with 1st PHIS (p=0.03, r=-
0.54), 2nd
PHIS (p=0.04, r=-0.50) and HOMA-R (p=0.001, r=-0.65) and triglycerides (p=0.02, r=-
0.55). There was no other correlation between hormones with carbohydrate metabolism parameters
and lipids.
2c) Correlations among hormones
At first trimester fasting plasma active ghrelin levels correlated positively with fasting plasma
GIP total levels (p=0.02, r=0.52). At third trimester fasting plasma active ghrelin levels correlated
positively with fasting plasma active GLP-1 levels (p=0.028, r=0.68).
3. Correlations between changes (delta, ∆) of the measured variables among the three
trimesters of pregnancy
Between first and second trimester ∆ maternal weight correlated positively with ∆ 1st PHIS
(p=0.02, r=0.63), ∆ 2nd
PHIS (p=0.04, r=0.59) and ∆ percent maternal fat (p=0.008, r=0.51).
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Between second and third trimester fasting active ∆ GLP-1 correlated negatively and positively with
∆ maternal weight (p=0.001, r=-0.97) and fasting active ∆ ghrelin (p=0.02, r=0.69), respectively.
Delta maternal weight correlated positively with ∆ maternal fat change (p=0.04, r=0.45).
4. First trimester predictor of second trimester fetal abdomen circumference.
Backwards multiple regression analysis revealed that fasting active plasma GLP-1 levels of
the first trimester were the best negative predictor (p=0.009, beta=-0.96) of U/S measured fetal
abdomen circumference of the second trimester among maternal fat, plasma levels of active ghrelin,
total GIP and total PYY levels of the first trimester.
5. Predictors of maternal weight change during all trimesters of the pregnancy.
The longitudinal regression model revealed that the best predictors of maternal weight change
during the three trimesters of pregnancy were maternal fat (p=0.005, t-value=3.12) and HOMA-R
(p=0.013, t-value=2.79) as positive predictors and fasting active plasma GLP-1 levels (p=0.015, t-
value=-2.71) as negative predictor among PHIS-1, PHIS-2, plasma total GIP, active ghrelin, and
total PYY.
Discussion
We investigated the fasting circulating levels of maternal gut hormones (active GLP-1, active
ghrelin, total PYY, total GIP) during each of the three trimesters of normal pregnancy in the same
group of non-obese non diabetic women and their correlations with maternal weight, adipose tissue
(total percent fat), lipid and carbohydrate metabolism. The latter was evaluated on OGTT-based
mathematically derived indices (24). GLP1 affects mostly post-prandial glycemia and it presents in
two forms, the total reflecting secretion and the active reflecting potential action. Fasting active
GLP1 was measured in this study so that the description of its role in maternal physiology is not
confounded by insulin secretion induced from orally ingested glucose. Data exist showing that active
GLP-1 might affect blood glucose via actions other than stimulation of glucose dependent insulin
secretion (25, 26, 27) such as glucagon secretion, suppression of hepatic glucose output and decrease
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of gastric emptying rate (8, 27). We found that during the second trimester fasting active plasma
GLP-1 levels correlated negatively with HOMA-R. In the past Cypryk et al. have shown a positive
correlation of fasting total GLP-1 with HOMA-R in a mixed population of 13 controls and 13
pregnancies with GDM at second trimester (28). This discrepancy might be due to the facts that in
our study active GLP1 and not total was measured, and secondly, active GLP1 was measured in a
non-GDM population of women with normal pregnancies. In insulin resistance states such as type 2
diabetes GLP-1 levels are significantly decreased whereas in obesity there is attenuated GLP-1
secretion (8, 9). In addition, in this study, during the second trimester fasting active plasma GLP-1
levels correlated negatively with insulin secretion parameters. It is well accepted that most cases of
increased insulin resistance are followed by increased insulin secretion (29, 30). Furthermore, we
found that fasting active plasma GLP-1 increased significantly from second to third trimester. This
increase of fasting GLP-1 might be part of mechanisms involved in compensation of the pregnancy-
related increase of glycemia and the development of insulin resistance.
Delta fasting active plasma GLP-1 levels from the second to the third trimester correlated
negatively with ∆ maternal weight. Treatment of non pregnant diabetic or obese subjects with GLP-1
receptor agonists resulted to weight loss (11, 31). An anorexigenic effect has been attributed to GLP-
1 exerted possibly via direct and/or indirect activation of CNS (32). In addition, in this study fasting
plasma active GLP-1 levels were negative predictors of maternal weight change in the longitudinal
regression model applied from the first to the third trimester whereas maternal total percent fat and
HOMA-R were positive predictors. Maternal total percent fat measured by using the sum of skinfold
caliper measurements is an approximation of the maternal fat content and does not reflect central fat
deposition. It is the only ethically available method that can be used for maternal fat content
estimation during pregnancy. It is possible that GLP-1 might play an important role in keeping
maternal weight within normalcy during pregnancy limiting, thus, in an indirect way the
development of insulin resistance.
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Moreover maternal fasting active GLP-1 levels at first trimester were the best negative
predictors of fetal abdomen circumference at second trimester. Early in pregnancy, the most
important contributor for fetal growth is the genetic potential. Maternal metabolic response to
alterations of the equilibrium is also based on the maternal genetic potential which, in part, is
inherited to the fetus. For example, in the past we have shown that the mothers of babies with
intrauterine growth restriction share a common metabolic feature with their offsprings ie. increased
circulating leptin levels as compared to mothers of babies of normal growth (40).
At the second trimester maternal fasting active GLP-1 levels correlated negatively with fetal
abdomen circumference as well as with birthweight. These anthropometric indices are positively
associated with the development of hyperglycemia during pregnancy (7). During pregnancy maternal
glucose, amino acids, lipids and vitamins cross the placenta and are employed to sustain fetal growth.
Glucose is quantitatively the most important nutrient. The fetus does not synthesize glucose and
employs maternal glucose as its primary energy source for maintenance of its basal metabolism
energy requirements for growth and storage. A maternal-fetal glucose gradient facilitates glucose
placental transfer and its rate is related to maternal glucose levels (33). The concentration of most
amino acids in fetus is higher than that found in the mother. Thus, placental transfer of amino acids
is carried out by an active process using selective transporters and energy (34). Lipids cross the
placenta with difficulty taken up by placental receptors or as fatty acids. Long-chain polyunsaturated
fatty acids are needed for fetal growth and development (35) Micronutrient (iron, iodine, calcium,
zinc etc), vitamin (ie vitamin A, C, E) and folate deficiencies are known to contribute to abnormal
prenatal development. (36, 37, 38, 39).
Furthermore, in this paper, maternal fasting plasma active GLP-1 levels correlated positively
and negatively with HDL cholesterol during the first and triglycerides during the second trimester of
pregnancy, respectively. This is in accordance with its negative correlation with maternal weight.
Studies in ob/ob mice showed that GLP-1 or combination of a DPP-4 inhibitor and pioglitasone
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improves lipid profile (41, 42). The origin and regulation of the maternal fasting GLP-1 secretion
during pregnancy remain to be unraveled.
Maternal fasting total GIP, fasting active ghrelin and total PYY levels did not change
throughout pregnancy and they did not correlate with maternal weight and total percent fat in this
non obese non diabetic pregnant population. In the past, basal acylated ghrelin and PYY 3-36 were
found increased and decreased, respectively, only in morbidly obese pregnant women as compared to
overweight or lean pregnant women (43). Others have reported that acylated ghrelin decreases
markedly during pregnancy in mothers with and without gestational diabetes (44). In addition,
ghrelin levels have been reported low in obesity, hyperinsulinemic and insulin resistant states (45,
46). Interestingly, in this study, ∆ fasting active ghrelin correlated positively with ∆ fasting active
GLP-1 from second to third trimester and fasting active ghrelin levels correlated positively with
fasting active GLP-1 levels at the third trimester suggesting a possible parallelism of their secretion
during normal pregnancy. During the first trimester, active ghrelin correlated negatively with
HOMA-R as well as insulin secretion parameters and positively with ISI. These correlations
disappeared during the second and third trimesters of pregnancy indicating that the maternal active
ghrelin involvement on maternal carbohydrate metabolism at this point might be less significant.
This study shows the strong negative association of maternal fasting active GLP-1 levels,
among the rest of gut peptides studied, with maternal weight change throughout pregnancy and the
significance of its first trimester levels as an early negative predictor of fetal abdomen circumference
at the second trimester, a period where fetal growth and the development of maternal insulin
resistance accelerate. This is further supported by the negative correlation of maternal fasting active
GLP-1 levels with insulin resistance parameters during the second trimester, when active GLP-1
levels increase gradually till the third trimester. Thus, fasting active GLP-1 during pregnancy might
be involved in physiological mechanisms of compensation of the pregnancy-related hyperglycemia
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and insulin resistance, suggesting a role of this peptide in maternal metabolism, maternal weight gain
and fetal abdomen circumference. Further physiological and interventional studies are needed
involving obese and diabetic pregnancies to establish the role of active GLP-1 into maternal weight
in pregnancy and its effects into fetal growth.
DECLARATION OF INTEREST: Authors declare there is no conflict of interest that could
be perceived as prejudicing the impartiality of the research reported.
FUNDING SUPPORT: Funding was received from Athens University Medical School (to
G.M. and I.P.). The funding sources played no role in the study design; in the collection, analysis,
and interpretation of data; in the writing of the report; or in the decision to
submit the report for
publication.
FINANCIAL DISCLOSURES: None declared.
ACKNOWLEDGEMENTS: Non applicable.
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Legends to the Figures
Figure 1: Correlation between maternal fasting plasma active GLP-1 and Ultrasound measured fetal
abdomen circumference at second trimester (p=0.034, r=-0.55)
Figure 2: Correlation between maternal fasting plasma active GLP-1 at second trimester and
birthweight (p=0.040, r=-0.50)
Page 20 of 23
Table 1 Anthropometric variables, hormones and carbohydrate metabolism parameters of
non-obese non-diabetic pregnant women (n=55) before and during pregnancy [variables
expressed as mean (±SD) or median (25th
to 75th
interquartile range)]
PRE-PREGNANCY
BMI of (kg/m2) 24.7 (2.2)
PREGNANCY 1st trimester 2
nd trimester 3
rd trimester
Maternal weight (kg) 68.5 (13.1) 73 (12.7)* 77.9 (14.5)
* #
Maternal fat (%) 31.1 (5.3) 32.1 (4.6)* 33 (5.9)
*#
U/S fetal abdomen
circumference (mm)
189.1 (177-209.5) 298.3 (280.5-309.9) #
U/S fetal biparietal
diameter (mm)
60.6 (54.5-64.6) 86 (81.8-95.5)
#
U/S fetal head
circumference (mm)
208.4(193.1-228) 312.1 (300.6-319)
#
U/S fetal femur length (mm) 42.6 (37.8-46) 69.5 (63.6-89.2)
#
U/S fetal estimated weight
(gr)
607 (496-783) 2178.8 (1870-2443) #
Fasting active GLP-1
(pg/mL)
159.7 (89.8-209) 169.6 (127.5-203) 200.3 (166-234.5) *#
Fasting active Ghrelin
(pg/mL)
41.1 (29-58.3) 37.9 (29-50.9) 41.8 (36.7-44)
Fasting total PYY (pg/mL) 97.1 (69.4-129.6) 92.3 (73.8-137) 98 (89-113.9)
Fasting total GIP (pg/mL) 14 (9.5-22.4) 9.4 (6.2-14.8) 10.3 (8.6-14.7)
Fasting glucose (mmol/L) 4.3 (0.3) 4.4 (0.2) 4.5 (0.4)
Fasting insulin (pmol/L) 56.3 (42.5-73) 59 (49-119.3) 117 (88-147) * #
ISI 0.1 (0.07-0.1) 0.08 (0.05-0.1) * 0.04 (0.004-0.06)
* #
HOMA-R 1.7 (1.3-2.4) 1.9 (1.6-3.9) 3.9 (2.8-4.9)* #
1st PHIS 969 (812-1254) 1117 (886-1381)
* 1116.4 (673.5-1413)
*
2nd
PHIS 283 (213-375) 328 (257-436)* 339.4 (223.2-446.5)
*
POST-PREGNANCY
Birthweigt (gr) 3175 (2730-3512)
(*): statistically significant change of variable from 1st trimester
(#): statistically significant change of variable from 2nd
trimester
Page 21 of 23
Figure 1
100
120
140
160
180
200
220
240
100 120 140 160 180 200 220 240
Maternal fasting plasma GLP-1 active (pg/mL)
U/S
fet
al
ab
dom
en
circ
um
fere
nce
(mm
)
Page 22 of 23