Effect of metformin on reducing platelet dysfunction in gestational diabetes mellitus: a randomized controlled trial

in Endocrine Connections
Authors:
Panisa Hantrakun Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

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Rattanaporn Sekararithi Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

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Thidarat Jaiwongkam Cardiac Electrophysiology Research and Training Center (CERT), Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

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Sirinart Kumfu Cardiac Electrophysiology Research and Training Center (CERT), Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

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Chatree Chai-adisaksopha Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

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Nipon Chattipakorn Cardiac Electrophysiology Research and Training Center (CERT), Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

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Theera Tongsong Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

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Phudit Jatavan Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

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Correspondence should be addressed to P Jatavan: kod.thanata@gmail.com
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Objectives

To evaluate the effect of metformin in improving platelet dysfunction in women with gestational diabetes mellitus (GDM).

Patients and methods

A randomized controlled trial was conducted on pregnant women diagnosed with GDM. Singleton low-risk pregnancies meeting the inclusion criteria were randomly allocated at 27–31 weeks to receive metformin and placebo through the rest of pregnancy. Thirty-seven and 39 cases were recruited into the metformin group and the placebo group, respectively. MPVs, P-selectin, and 8-isoprostane levels were determined at the time of allocation and 6 weeks after treatment. Obstetric and neonatal outcomes were also assessed.

Results

Most baseline characteristics of the two groups were comparable. The levels of P-selectin after 6 weeks of treatment were significantly higher in the metformin group (68.9 ± 14.4 vs 60.6 ± 11.3; P-value = 0.006), indicating more platelet activation. All of the obstetric and neonatal outcomes were comparable except that birth weight was significantly lower in the metformin group (3018 ± 364 g vs 3204 ± 393 g; P-value = 0.037).

Conclusion

Metformin, in addition to diet and lifestyle modifications, does not improve or worsen oxidative stress and platelet dysfunction in women with GDM. Nevertheless, metformin significantly reduces fetal weight in women with GDM, theoretically preventing macrosomia.

Abstract

Objectives

To evaluate the effect of metformin in improving platelet dysfunction in women with gestational diabetes mellitus (GDM).

Patients and methods

A randomized controlled trial was conducted on pregnant women diagnosed with GDM. Singleton low-risk pregnancies meeting the inclusion criteria were randomly allocated at 27–31 weeks to receive metformin and placebo through the rest of pregnancy. Thirty-seven and 39 cases were recruited into the metformin group and the placebo group, respectively. MPVs, P-selectin, and 8-isoprostane levels were determined at the time of allocation and 6 weeks after treatment. Obstetric and neonatal outcomes were also assessed.

Results

Most baseline characteristics of the two groups were comparable. The levels of P-selectin after 6 weeks of treatment were significantly higher in the metformin group (68.9 ± 14.4 vs 60.6 ± 11.3; P-value = 0.006), indicating more platelet activation. All of the obstetric and neonatal outcomes were comparable except that birth weight was significantly lower in the metformin group (3018 ± 364 g vs 3204 ± 393 g; P-value = 0.037).

Conclusion

Metformin, in addition to diet and lifestyle modifications, does not improve or worsen oxidative stress and platelet dysfunction in women with GDM. Nevertheless, metformin significantly reduces fetal weight in women with GDM, theoretically preventing macrosomia.

Highlight

  • Metformin significantly reduces fetal weight in women with GDM, theoretically preventing macrosomia.

  • Metformin does not improve oxidative stress and platelet dysfunction in women with GDM.

Introduction

Gestational diabetes mellitus (GDM), one of the most common complications in pregnancy, is defined as glucose intolerance of variable severity with onset or first recognition during pregnancy (1). GDM usually disappears shortly after birth but up to 50% will develop type 2 diabetes mellitus 10 years after GDM (2, 3, 4, 5). Women with GDM typically have different levels of insulin resistance and possible chronic low-grade inflammation, which trigger vascular injury and dysfunction and subsequent platelet activation (6, 7). GDM may probably be related to oxidative stress in the insulin resistance pathway, as documented in DM type 2 (8). Nevertheless, the relationship between GDM and oxidative stress is unclear. The levels of oxidative stress in GDM such as 8-isoprostane (8IsoP), TNF-α, and IL-10 have been studied in a very limited number of reports, in which the results are contradictory, though some showed higher levels of oxidative stress markers in pregnancies with GDM (9, 10).

P-selectin is an adhesion molecule found in the α-granules of platelets and the Weibel-Palade bodies of endothelial cells. Circulating degranulated platelets rapidly shed surface P-selectin, producing the circulating plasma protein soluble P-selectin. The anti-P-selectin antibody has been shown to inhibit thrombus formation (11), thus providing evidence that P-selectin plays a role in thrombosis, closely associated with platelet activation. Also, increased P-selectin levels are associated with a higher risk of DVT and subsequent vascular events in healthy women (12, 13). P-selectin is critical in the progressive change of atherosclerosis and leukocyte recruitment in the plaque. Also, a soluble form of P-selectin has pro-atherogenic and pro-thrombotic effects. It is involved in platelet dysfunction and facilitating thromboembolism and it can also be reflective of platelet dysfunction in GDM. Therefore, P-selectin is a potential clinical biomarker for innovation of therapy in subclinical inflammatory diseases or metabolic syndrome (14).

Mean platelet volume (MPV) is generally used to evaluate platelet morphology and can be used as an indicator of platelet activity (15). Increased MPV is associated with increased platelet activation and is commonly seen in diabetic patients (9, 16, 17). Platelet hyperactivity is accompanied by increased synthesis of thromboxane (18), reflecting a relationship between platelet function and micro-and macrovascular complications of diabetes mellitus (16, 17, 18, 19). MPV was significantly increased in pregnant women with GDM compared with healthy pregnant women (20). The pathogenesis for increased MPV in GDM has been suggested that insulin resistance is a major determinant of platelet activation which can be measured by MPV. In that case, MPV may serve as an indicator of the chronic inflammatory status of GDM (20).

Metformin, the first-line therapy for type 2 diabetes mellitus, had favorable action on platelet function. Previous studies showed that metformin improved oxidative stress, preserved anti-oxidant function, and limited platelet activation (21, 22). Furthermore, metformin can decrease MPV (23), in contrast to increased MPV, which is strongly related to vascular complications (24, 25). Second- and third-trimester metformin treatment of GDM appears to be safe in the short term and is effective in glucose control and reducing the rate of macrosomia, and accepted for the treatment of GDM (26), though some studies suggest that it is not completely safe for pregnancy (27). To the best of our knowledge, no study has been published using metformin to reduce platelet dysfunction in GDM. We hypothesize that women with GDM who take metformin during pregnancy have lower platelet dysfunction in maternal blood and cord blood, also less estimated blood loss after delivery, and lower incidence of adverse pregnancy outcomes, when compared with those who do not take metformin. Therefore, we conducted this study to compare the levels of soluble P-selectin and oxidative stress biomarker (8IsoP levels) between the intervention group (taking metformin) and placebo group (taking placebo) at 27–31 weeks’ gestation and before delivery (after taking drugs 6 weeks), as primary objectives and to compare the MPV, the blood clotting time of pregnant woman and cord blood, the estimated blood loss after delivery, postpartum complications and neonatal outcomes as the secondary objectives. To the best of our knowledge, this is the first trial to study the effect of metformin on platelet function in pregnant women with GDM.

Patients and methods

A parallel-group double-blind randomized controlled trial was conducted on pregnant women, attending antenatal care at Maharaj Nakorn Chiang Mai Hospital (Chiang Mai University, Thailand), between July 2020 and June 2021. The study received ethics approval from the Institute Review Board (study code: OBG-2562-06696) and was also registered on thaiclinicaltrials.org (TCTR20200517003). All participants were enrolled with written informed consent.

Study population

All recruited participants met the following inclusion criteria: (i) singleton pregnant women attending our antenatal clinic; (ii) maternal age of 20–45 years; (iii) diagnosed with GDM using the criteria recommended by the National Diabetes Data Group (screened with 50 g glucose challenge test, using cut off at 140 mg/dL and diagnosed using the standard 100 g oral glucose tolerance test (OGTT), diagnosed if two or more of the following thresholds were met (fasting 105 mg/dL, 1h 190 mg/dL, 2h 165 mg/dL, and 3h 145 mg/dL), before 32 weeks of gestation; (iv) having good glycemic control, defined as fasting blood glucose of <95 mg/dL, 2-h postprandial glucose of <120 mg/dL; (v) all women with GDM had normal medical histories before pregnancy. Exclusion criteria were as follows: (i) women with GDM whose blood glucose was poorly controlled, who needed insulin therapy before 28 weeks of gestation; (ii) women with systemic diseases such as chronic hypertension, heart disease, renal disease, connective tissue disease, hepatic disease, etc.; (iii) pregnancies with fetal major structural anomaly; (iv) obstetric complications: pregnancy-induced hypertension and preterm labor before 28 weeks of gestation in the current pregnancy; (v) poor obstetric history in previous pregnancy, for example recurrent pregnancy loss, previous occurrence of pre-eclampsia, and intrauterine growth restriction.

Randomization

During antenatal care, the participants were randomly assigned by the study coordinator into one of two study groups according to a computer-generated random allocation sequence with blocks of size of four, with a ratio of 1:1. Sequentially numbered sealed opaque envelopes would be employed to provide allocation concealment. The two groups included intervention (taking metformin) and control (taking placebo).

Study procedures

After informed consent was obtained from the women meeting the inclusion criteria, each woman in the intervention group received metformin (500 mg) 1 tablet oral once a day from day one of joining the study (27–31 weeks of gestation) throughout the entire study period. For the placebo group, each woman received one placebo tablet orally once a day. Both groups received the same standard antenatal care, intrapartum and postpartum management. The treatment was blinded to the participants and caretakers. Both groups received metformin or placebo from 27 to 31 weeks of gestation until the day they were admitted to the hospital for giving birth. For medication adherence measures, the study coordinator would use the pill count method which is an objective measurement. Both groups were counseled and monitored for lifestyle modification and diet control as our standard protocol in the management of GDM. The fasting and 2-h postprandial glucose levels were routinely assessed by the attending physician on every antenatal care visit and also self-home monitoring after training. The diet control was based on our nutritionists (Typically, the daily caloric intake of 30–35 kcal/kg including carbohydrate intake limited to 40% of total calories and the remaining calories apportioned to give 20% as protein and 40% as fat). Regular physical activity that incorporates aerobic and strength-conditioning exercise and avoiding smoking, as well as alcohol, were also advised. The target of treatment followed the recommendation of The American College of Obstetricians and Gynecologists (ACOG) (26).

Blood samples

Maternal blood samples for soluble P-selectin levels and 8IsoP were taken at 27–31 weeks gestation (the day of enrollment) and at 6 weeks after taking drugs. All of the 5 mL blood samples were drawn in a heparin tube then plasma was separated by centrifugation at 1036 g for 10 min. The separated plasma samples for measurement of soluble P-selectin and 8IsoP levels were stored at −80°C for subsequent testing in batches.

A maternal blood sample for MPV was obtained from all the participants in the third-trimester and intrapartum. To avoid the platelet swelling induced by EDTA, blood samples were analyzed within half an hour of collection (28). An automated blood counter was used to measure complete blood count (CBC) parameters including MPV.

Blood clotting time

The blood clotting time of all women was tested intrapartum (at the same time of collecting blood to measure MPV). The whole blood clotting test was performed. Two milliliters of collected venous blood were transferred directly into a clean and dry glass tube. It was maintained upright, open, undisturbed for 20 and/or 30 min at room temperature. After exactly 20 min, the tube was inverted. If a solid clot was retained, the test indicated normal coagulation. If the clot broke down quickly upon inversion of the tube or if there was no clot, the test indicated a coagulopathy (29). Additionally, an umbilical cord blood sample was obtained from all cases. The whole blood clotting test was performed using the same technique (Table 1).

Table 1

Blood clotting grade.

Interpretation Visual appearance
Grade 0 Normal coagulation A stable, solid clot that maintains its shape and clings to the glass vessel without issues after rotation of the tube
Grade 1 Abnormal, but there is some clotting activity apparent at the 20 and 30 min There is some blood in solid form, but it fails to adhere to the glass as a single plug and either disintegrates completely (friable clot) or partially degrades ≤30 s after rotation
Grade 2 Abnormal with no clotting activity apparent at the 20 and 30 min The entire blood sample remains in a free-flowing liquid state with no demonstrable clotting whatever upon rotation. This is immediately apparent during the rotation of the tube.

Outcome assessment

The primary outcome was the measurement of the levels of soluble P-selectin and oxidative stress biomarker (8IsoP levels). The secondary outcomes were as follows: MPV of a pregnant woman with GDM, the blood clotting time of the women and cord blood, pregnancy outcomes including glucose monitoring level (fasting blood glucose and 2-h postprandial glucose), total weight gain, route of delivery, maternal anemia, antepartum hemorrhage, pregnancy-induced hypertension, and fetal weight and growth, postpartum hemorrhage, the maternal total length of stay, postpartum 75 g-OGTT, and neonatal outcomes including APGAR score (at 1, 5, and 10 min-of-life), birth weight, hypo- or hyperglycemia, anemia or polycythemia, the need for blood transfusion or antibiotics, respiratory distress syndrome, neonatal intensive care unit (NICU) admission, neonatal jaundice, the need for phototherapy or exchange transfusion, and neonatal length of stay.

Statistical analysis

All statistical procedures were performed using the statistical package for the social sciences (SPSS) software version 26.0 (IBM Corp. Released 2019. IBM SPSS Statistics for Windows, Version 26.0: IBM Corp). The baseline data were presented as mean ± s.d. or median (interquartile range) for continuous data, as appropriate for data distribution. In comparisons of the categorical data, chi-square was used, whereas Mann–Whitney U test and Student’s t-test were used for the comparisons of continuous data according to the normality of distribution which was tested using Kolmogorov–Smirnov test. A P-value less than 0.05 was considered statistically significant. This study needed a sample size of at least 32 participants per group for a randomized controlled study, given a power of 90% at a 95% CI with the acceptable error of 0.1. This estimation is based on a study reported by Holmes et al. (30), who showed the mean P-selectin 55.4 ± 17.1 ng/mL vs 40.7 ± 16.9 ng/mL in the cases and controls.

Results

During the study period, 285 pregnant women were diagnosed with GDM. Of them, 174 were not eligible for recruitment and 17 were not approached. Ninety-four pregnant women met the eligibility criteria and were approached for enrollment, 14 declined to participate in the study. Finally, 80 were randomized into the two treatment groups (Fig. 1).

Figure 1
Figure 1

Flowchart of patient recruitment for randomization.

Citation: Endocrine Connections 11, 4; 10.1530/EC-22-0110

Maternal and labor characteristics by randomized treatment group are described in Table 2, the randomization achieved balanced groups. The baseline characteristics of the two groups were comparable. The median pre-pregnancy weight of both groups was around 57–60 kg, and the median maternal BMI was 23–24 kg/m2. The maternal comorbidities were similar in both groups, such as migraine, history of thyroid disorders, or thalassemia carrier. The median gestational age at the time of diagnosis with GDM of both groups was approximately 20+5 weeks of gestation. Moreover, the median HbA1C was similar in both groups (HbA1C = 5.1%).

Table 2

Maternal and labor characteristics by randomized treatment group.

Characteristics Placebo (n  = 39) Metformin (n  = 37) P-value
Maternal age (years) 32.2 ± 4.4 33.1 ± 5.1 0.428
Parity 0.262
 Nulliparous 16 (40.0%) 21 (52.5%)
 Multiparous 24 (60.0%) 19 (47.5%)
Education 1.000
 High school or lower 6 (15.0%)  6 (15.0%)
 Higher education (higher than high school; including vocational/high vocational certificate, Bachelor/Master degree, etc.) 34 (85.0%) 34 (85.0%)
Pre-pregnancy weight (kg) 59.8 ± 13.3 56.8 ± 10.6 0.256
Height (m) 1.57 ± 0.05 1.56 ± 0.06 0.466
Maternal BMI (kg/m2) 24.1 ± 5.0 23.3 ± 4.4 0.391
Maternal comorbidity 5 (15.0%)  9 (22.5%) 0.390
Preeclampsia screening 1.000
 Low risk 35 (87.5%) 35 (87.5%)
 High risk 5 (12.5%)  5 (12.5%)
Gestational age at diagnosed as GDM (days) 145 ± 53 148 ± 55 0.826
Gestational age at included in trials (days) 202 ± 7 201 ± 7 0.803
CBC at gestational age (day) 205 ± 6 205 ± 7 0.873
 Hemoglobin (g/dL) 11.6 ± 0.9 11.8 ± 1.0 0.131
 Hematocrit (%) 34.2 ± 2.5 34.7 ± 2.9 0.345
 Platelet count (cell/mm3) 238150 ± 58121 241025 ± 51350 0.817
 Mean platelet volume (fL) 10.5 ± 1.1 10.1 ± 0.8 0.087
HbA1C at gestational age (days) 209 ± 13 212 ± 17 0.553
 HbA1C level (%) 5.1 ± 0.4 5.1 ± 0.3 0.747
Laboratory tests at gestational age (days) 202 ± 7 202 ± 6 0.803

Primary outcomes

The primary outcomes are presented in Table 3. The baseline levels of 8IsoP at 27–31 weeks were not significantly different (P-value = 0.379) and the baseline levels of P-selectin was higher in the metformin group but not significantly different (P-value = 0.055) (Fig. 2).

Figure 2
Figure 2

Comparisons of MPV, 8-isoprotane, and P-selectin levels between the two groups at baseline (A, B, and C) and after treatment (D, E, and F).

Citation: Endocrine Connections 11, 4; 10.1530/EC-22-0110

Table 3

Primary outcomes by randomized treatment groups.

Placebo (n  = 39) Metformin (n  = 37) P-value
Maternal blood at 27–31 weeks’ gestation
 8-isoprostane levels (pg/mL) 1167 ± 928 1022 ± 458 0.379
 Soluble P-selectin (ng/mL) 58.6 ± 11.7 63.1 ± 8.8 0.055
Maternal blood at early labor
 8-isoprostane level (pg/mL) 1232 ± 603 1652 ± 1473 0.105
 Soluble P-selectin (ng/mL) 60.6 ± 11.3 68.9 ± 14.4 0.006

Interestingly, while 8IsoP levels at early labor were comparable in both groups, P-selectin levels were significantly higher in the metformin group (P-value = 0.006) (Fig. 2). When using P-selectin levels of the placebo group as a baseline, the mean Z-score (±s.d.) of P-selectin levels at early labor is 0.734 + 1.271 (P-value = 0.006).

In each group, the levels of P-selectin at early labor were significantly higher than those determined at 27–31 weeks of gestation (P-value = 0.025). Also, the levels of 8IsoP were significantly increased (P-value < 0.032) in early labor, when compared to those at 27–31 weeks (Fig. 2).

Secondary outcomes

The secondary outcomes are presented in Table 4. Most of the various maternal and neonatal outcomes were not significantly different between the two groups. Nevertheless, maternal weight at delivery and total maternal weight gain were significantly lower in the metformin group (72.4 ± 12.5 vs 66.3 ± 8.8; P-value = 0.017 and 12.1 ± 5.3 vs 9.3 ± 6.0; P-value = 0.038, respectively).

Table 4

Secondary outcomes by randomized treatment group.

Variable Placebo (n  = 39) Metformin (n  = 37) P-value
Maternal outcomes
 Antepartum complications
  Preterm labor 0 (0.0%) 3 (7.5%) 0.077
  Maternal anemia 3 (7.5%) 3 (7.5%) 1.000
  Pregnancy-induced hypertension 2 (5.0%) 1 (2.5%) 0.556
  Other conditions 3 (5.0%) 3 (5.0%) 1.000
 Monitoring blood sugar throughout antenatal care
  Fasting blood sugar (mg%) 86 ± 6 87 ± 5 0.965
  2-hr postprandial sugar (mg%) 102 ± 7 101 ± 8 0.531
 Maternal weight at giving birth (kg) 72.4 ± 12.5 66.3 ± 8.8 0.017
 Total maternal weight gain (kg) 12.1 ± 5.3 9.3 ± 6.0 0.038
 CBC at gestational age that giving birth (weeks)
  Hemoglobin (g/dL) 12.5 ± 1.3 12.7 ± 1.0 0.578
  Hematocrit (%) 36.7 ± 3.6 36.6 ± 2.3 0.901
  Platelet count (cell/mm3) 223428 ± 45084 225066 ± 53006 0.893
  Mean platelet volume (fL) 10.8 ± 0.9 10.7 ± 0.9 0.564
 Mean platelet volume change (fL) 0.51 ± 0.48 0.70 ± 0.49 0.137
 Maternal clotting time 0.435
  Grade 0 (clot) 34 (85.0%) 28 (70.0%)
  Grade 1 (partially clot) 1 (2.5%) 2 (5.0%)
  Grade 2 (not clot)
 Route of delivery 0.419
  Normal delivery 24 (60.0%) 28 (70.0%)
  Vacuum or Forceps extraction 5 (12.5%) 2 (5.0%)
  Cesarean delivery 10 (25.0%) 6 (15.0%)
 Estimate blood loss (ml) 338 ± 272 245 ± 233 0.154
 Perineal third degree tear 2 (5.0%) 2 (5.0%) 1.000
 Postpartum 75-gm OGTT 0.642
  No DM 14 (35.0%) 16 (40.0%)
  Impaired fasting glucose 15 (37.5%) 12 (30.0%)
  DM 1 (2.5%) 1 (2.5%)
Neonatal outcomes
 Gestational age at birth (days) 274 ± 8 270 ± 8 0.059
 Fetal growth restriction 1 (2.5%) 2 (5.0%) 0.556
 Macrosomia (>4000 g) 2 (5.0%) 0 (0.0%) 0.152
 Cord blood clotting time 0.612
  Grade 0 (clot) 32 (80.0%) 29 (72.5%)
  Grade 1 (partially clot) 2 (5.0%) 1 (2.5%)
  Grade 2 (not clot)
 Gender of newborn 0.546
  Male 21 (52.5%) 19 (47.5%)
  Female 18 (45.0%) 17 (42.5%)
 Birth weight (gm) 3204 ± 393 3018 ± 364 0.037
 Low APGAR score (<7)
  At 1 minute-of-life 2 (5.0%) 0 (0.0%) 0.152
  At 5 minute-of-life
  At 10 minute-of-life
 Neonatal blood glucose (mg%) 0.359
  Hypoglycemia 0 (0.0%) 1 (2.5%)
  Normal blood glucose 39 (97.5%) 35 (87.5%)
  Hyperglycemia
 Neonatal hematocrit (%) 56.1 ± 6.3 56.7 ± 4.8 0.672
 Anemic status 0.414
  Anemia 1 (2.5%) 0 (0.0%)
  Normal 37 (92.5%) 35 (87.5%)
  Polycythemia 1 (2.5%) 1 (2.5%)
 Needs for neonatal blood transfusion 1 (2.5%) 0 (0.0%) 0.240
 Hyperbilirubinemia 0.243
  No 37 (92.5%) 32 (80.0%)
  Yes, needs for phototherapy 2 (5.0%) 4 (10.0%)
  Yes, needs for total exchange transfusion 1 (2.5%) 0 (0.0%)
 Respiratory distress syndrome 3 (7.7%) 4 (11.1%) 0.611
 NICU admission 3 (7.5%) 6 (15.0%) 0.288
 Total length of stay (day) 3.4 ± 2.1 3.3 ± 1.4 0.755

Likewise, the birth weight of the newborns in the metformin group was significantly lower (3204 ± 393 vs 3018 ± 364; P-value = 0.037).

Discussion

This study provides new insight that metformin does not improve platelet dysfunction in the case of GDM, indicated by no significant difference in MPV, 8IsoP levels, and high P-selectin levels in the metformin group. In contrast to the expected, instead of decreasing P-selectin in the group of metformin, P-selectin was significantly increased, though the explanation of such a finding is unclear. Additionally, our findings consistent with those observed in previous studies were: (i) P-selectin levels are increasing with gestational age, as seen in normal pregnancy (30); (ii) metformin may improve maternal glucose control and result in preventing fetal hyperglycemia and macrosomia. Other parameters including MPVs, also reflective of platelet dysfunction, clotting time, and 8IsoP as an oxidative stress marker were also not significantly different between the two groups.

Note that both groups were under good glycemic control with diet and lifestyle modifications, as indicated by fasting blood and 2-h postprandial glucose levels throughout pregnancy, even in the placebo group. The findings signify that baseline of the metabolic status of both groups was relatively good. Thus, the effect of further treatment with metformin may be less obvious because of other intervention effects (diet and lifestyle modifications). Our findings could not be applied to pregnant women with overt DM who have had already vascular impairment before pregnancy. Moreover, the dosage of metformin used in our study was relatively low for pregnant women (500 mg/day), different from other studies which usually use 1500–2000 mg/day. This may also decrease the effect of metformin on platelet dysfunction if it exists.

Our finding of higher P-selectin levels in both groups was in agreement with that observed in normal pregnancy with advancing gestational age. In normal pregnancy, P-selectin concentrations were significantly higher in the second and third trimesters of pregnancy when compared with that of non-pregnant women sampled in parallel (30).

Previous studies showed that metformin protects diabetic patients from oxidative stress, leading to improving platelet dysfunction and a decrease in P-selectin (31). Nevertheless, women with overt DM and GDM have different vascular health. Patients with overt DM are usually associated with some degree of endothelial cell damage and stress oxidation whereas GDM usually develops in pregnant women with healthy vascular endothelial cells. It develops in response to human placental lactogen (HPL), the placental hormone of powerful insulin resistance. Theoretically, GDM is a temporary metabolic derangement of insulin resistance, not involving endothelial cell damages and platelet dysfunction. It usually completely disappears after delivery, as supported by a 75-g glucose tolerance test at 6 weeks after birth in this study. Therefore, we hypothesize that metformin does not improve vascular oxidative stress and platelet dysfunction in cases of healthy vessels. However, metformin may help prevent maternal and fetal hyperglycemia, improving glucose utilization leading to avoiding fetal macrosomia, as reflected by a significant reduction in fetal weight and maternal weight in late pregnancy as presented in Table 3. Convincingly, probably different mechanisms in improving fetal hyperglycemia result in significantly lower fetal size, theoretically preventing fetal macrosomia.

However, GDM may be different from DM type 2 (pre-gestational DM) which is usually associated with endothelial damage, healthy vascular endothelium, or less oxidative stress and inflammation. Therefore, oxidative stress is not as severe as seen in overt DM, and the effect of metformin in improving oxidative stress is not so obvious. Additionally, the levels of oxidative stress markers in both groups were not different, indicated by no significant difference in the 8IsoP levels in the two groups.

Random error might have occurred. The baseline vascular health might be different. The metformin group had a relatively higher level of P-selectin before treatment, though not significant (P-value = 0.062). With advancing gestational age, both groups had an increase in P-selectin levels. Higher levels in late gestation may be easier to express differences. Possibly the significance was untrue because of the baseline difference in P-selectin levels. However our results including high P-selectin, and no difference in 8IsoP levels and MPV, strongly suggests that metformin does not improve platelet dysfunction in cases of GDM.

We hypothesize that, with a larger sample size, P-selection and oxidative stress agents may be correlated with subtle endothelial cell damage in some cases and maybe a predictor of future development of overt DM among women with GDM.

The limitations of this study included (i) no long-term follow-up; (ii) glycemic control was also interfered from diet and lifestyle modification, not only metformin; Though diet and lifestyle are always difficult for perfect comparison, we believe that the advantage of a randomized control trial in terms of allocating the known and unknown confounders to the two groups equally was unlikely that diet and lifestyle could affect the interpretation of the comparison; (iii) Metformin dosage was relatively low for pregnancy, relatively short period of high insulin resistance secondary to placental HPL, possibly inadequate to show a small metabolic effect; (iv) possible random error, resulting in higher, though not significant, baseline levels of P-selectin in the metformin group; (v) Sample size was relatively small for secondary objectives. Strengths of this study were: (i) nature of its parallel-group double-blind randomized control trials; (ii) the comparisons were performed at two timeline periods; (iii) obstetric outcomes, neonatal outcomes, and postpartum follow-up to evaluate glucose status were also assessed to compare secondary outcomes.

In conclusion, metformin, in addition to diet and lifestyle modifications, does not seem to improve oxidative stress and platelet dysfunction. Nevertheless, metformin significantly reduces fetal weight in women with GDM, theoretically preventing macrosomia. To the best of our knowledge, this is the first trial to study the effect of metformin on platelet function in pregnant women with GDM.

Declaration of interest

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

Funding

This work was supported by The Chiang Mai University Research Fund CMU-2564, and The Thailand Research Fund DPG6280003. The funder had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Institutional review board statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by Research Ethics Committee, Faculty of Medicine, Chiang Mai University (Study Code: OBG-2562-06696, Approval date: 8 August 2019).

Informed consent statement

Informed consent was obtained from all subjects involved in the study.

Data availability statement

The datasets analyzed during the current study are available from the corresponding author upon reasonable request.

Author contribution statement

P H: conceptualization, proposal development, acquisition of data, data validation, manuscript writing; R S: investigation, acquisition of data, data validation, manuscript final approval; T J: laboratory analysis, investigation, final approval; S K: laboratory analysis, investigation, final approval; C C: laboratory analysis, investigation, final approval; N C: laboratory analysis, investigation, final approval; T T: data validation, formal analysis, and manuscript editing, final approval; P J: conceptualization, data validation, acquisition of data, manuscript writing, final approval. All authors have read and agreed to the published version of the manuscript.

Acknowledgements

The authors would like to express our gratitude to the MFM team who helped us in patient recruitment and collecting data.

References

  • 1

    Simmons D Prevention of gestational diabetes mellitus: where are we now? Diabetes, Obesity and Metabolism 2015 17 824834. (https://doi.org/10.1111/dom.12495)

  • 2

    Zhu Y, Zhang C. Prevalence of gestational diabetes and risk of progression to type 2 diabetes: a global perspective. Current Diabetes Reports 2016 16 7. (https://doi.org/10.1007/s11892-015-0699-x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3

    Akinci B, Celtik A, Yener S, Yesil S. Prediction of developing metabolic syndrome after gestational diabetes mellitus. Fertility and Sterility 2010 93 12481254. (https://doi.org/10.1016/j.fertnstert.2008.12.007)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4

    Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet 2009 373 17731779. (https://doi.org/10.1016/S0140-6736(0960731-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5

    Lauenborg J, Hansen T, Jensen DM, Vestergaard H, Mølsted-Pedersen L, Hornnes P, Locht H, Pedersen O, Damm P. Increasing incidence of diabetes after gestational diabetes: a long-term follow-up in a Danish population. Diabetes Care 2004 27 11941199. (https://doi.org/10.2337/diacare.27.5.1194)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6

    Hernandez TL, Van Pelt RE, Anderson MA, Reece MS, Reynolds RM, de la Houssaye BA, Heerwagen M, Donahoo WT, Daniels LJ & Chartier-Logan C et al.Women with gestational diabetes mellitus randomized to a higher-complex carbohydrate/low-fat diet manifest lower adipose tissue insulin resistance, inflammation, glucose, and free fatty acids: a pilot study. Diabetes Care 2016 39 3942. (https://doi.org/10.2337/dc15-0515)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7

    Santilli F, Vazzana N, Liani R, Guagnano MT, Davi G. Platelet activation in obesity and metabolic syndrome. Obesity Reviews 2012 13 2742. (https://doi.org/10.1111/j.1467-789X.2011.00930.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8

    Darenskaya MA, Kolesnikova LI, Kolesnikov SI. Oxidative stress: pathogenetic role in diabetes mellitus and its complications and therapeutic approaches to correction. Bulletin of Experimental Biology and Medicine 2021 171 179189. (https://doi.org/10.1007/s10517-021-05191-7)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9

    Mazzanti L, Nanetti L, Vignini A, Rabini RA, Grechi G, Cester N, Curzi CM, Tranquilli AL. Gestational diabetes affects platelet behaviour through modified oxidative radical metabolism. Diabetic Medicine 2004 21 6872. (https://doi.org/10.1046/j.1464-5491.2003.01081.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10

    Shang M, Dong X, Hou L. Correlation of adipokines and markers of oxidative stress in women with gestational diabetes mellitus and their newborns. Journal of Obstetrics and Gynaecology Research 2018 44 637646. (https://doi.org/10.1111/jog.13586)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11

    Woollard KJ, Chin-Dusting J. P-selectin antagonism in inflammatory disease. Current Pharmaceutical Design 2010 16 41134118. (https://doi.org/10.2174/138161210794519192)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12

    André P P-selectin in haemostasis. British Journal of Haematology 2004 126 298306. (https://doi.org/10.1111/j.1365-2141.2004.05032.x)

  • 13

    Huo Y, Xia L. P-selectin glycoprotein ligand-1 plays a crucial role in the selective recruitment of leukocytes into the atherosclerotic arterial wall. Trends in Cardiovascular Medicine 2009 19 140145. (https://doi.org/10.1016/j.tcm.2009.07.006)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14

    Woollard KJ, Chin-Dusting J. Therapeutic targeting of p-selectin in atherosclerosis. Inflammation and Allergy Drug Targets 2007 6 6974. (https://doi.org/10.2174/187152807780077345)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15

    Jagroop IA, Tsiara S, Mikhailidis DP. Mean platelet volume as an indicator of platelet activation: methodological issues. Platelets 2003 14 335336. (https://doi.org/10.1080/0953710031000137055)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16

    Dundar O, Yoruk P, Tutuncu L, Erikci AA, Muhcu M, Ergur AR, Atay V, Mungen E. Longitudinal study of platelet size changes in gestation and predictive power of elevated MPV in development of pre-eclampsia. Prenatal Diagnosis 2008 28 10521056. (https://doi.org/10.1002/pd.2126)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17

    Bozkurt N, Yilmaz E, Biri A, Taner Z, Himmetoglu O. The mean platelet volume in gestational diabetes. Journal of Thrombosis and Thrombolysis 2006 22 5154. (https://doi.org/10.1007/s11239-006-8322-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18

    Hekimsoy Z, Payzin B, Ornek T, Kandogan G. Mean platelet volume in type 2 diabetic patients. Journal of Diabetes and its Complications 2004 18 173176. (https://doi.org/10.1016/S1056-8727(0200282-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19

    Coban E, Bostan F, Ozdogan M. The mean platelet volume in subjects with impaired fasting glucose. Platelets 2006 17 6769. (https://doi.org/10.1080/09537100500220729)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20

    Zhou Z, Chen H, Sun M, Ju H. Mean platelet volume and gestational diabetes mellitus: a systematic review and meta-analysis. Journal of Diabetes Research 2018 2018 1985026. (https://doi.org/10.1155/2018/1985026)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21

    Formoso G, De Filippis EA, Michetti N, Di Fulvio P, Pandolfi A, Bucciarelli T, Ciabattoni G, Nicolucci A, Davi G, Consoli A. Decreased in vivo oxidative stress and decreased platelet activation following metformin treatment in newly diagnosed type 2 diabetic subjects. Diabetes/Metabolism Research and Reviews 2008 24 231237. (https://doi.org/10.1002/dmrr.794)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22

    Kuang Y, Hu B, Feng G, Xiang M, Deng Y, Tan M, Li J, Song J. Metformin prevents against oxidative stress-induced senescence in human periodontal ligament cells. Biogerontology 2020 21 1327. (https://doi.org/10.1007/s10522-019-09838-x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23

    Dolasik I, Sener SY, Celebi K, Aydin ZM, Korkmaz U, Canturk Z. The effect of metformin on mean platelet volume in diabetic patients. Platelets 2013 24 118121. (https://doi.org/10.3109/09537104.2012.674165)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24

    Gasparyan AY, Ayvazyan L, Mikhailidis DP, Kitas GD. Mean platelet volume: a link between thrombosis and inflammation? Current Pharmaceutical Design 2011 17 4758. (https://doi.org/10.2174/138161211795049804)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25

    Papanas N, Mikhailidis DP. Mean platelet volume: a predictor of mortality in diabetic and non-diabetic patients with STEMI? Journal of Diabetes and its Complications 2014 28 581582. (https://doi.org/10.1016/j.jdiacomp.2014.05.004)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26

    ACOG Practice Bulletin No. 190 Summary: gestational diabetes mellitus. Obstetrics and Gynecology 2018 131 406408. (https://doi.org/10.1097/AOG.0000000000002498)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27

    Feig DS, Donovan LE, Zinman B, Sanchez JJ, Asztalos E, Ryan EA, Fantus IG, Hutton E, Armson AB & Lipscombe LL et al.Metformin in women with type 2 diabetes in pregnancy (MiTy): a multicentre, international, randomised, placebo-controlled trial. Lancet: Diabetes and Endocrinology 2020 8 834844. (https://doi.org/10.1016/S2213-8587(2030310-7)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28

    Sak ME, Soydinc HE, Ozler A, Evsen MS, Turgut A, Sak S, Gul T. Platelet profile in patients with gestational diabetes: a retrospective study. Journal of the Turkish German Gynecological Association 2012 13 223226. (https://doi.org/10.5152/jtgga.2012.34)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29

    Benjamin JM, Chippaux JP, Sambo BT, Massougbodji A. Delayed double reading of whole blood clotting test (WBCT) results at 20 and 30 minutes enhances diagnosis and treatment of viper envenomation. Journal of Venomous Animals and Toxins Including Tropical Diseases 2018 24 14. (https://doi.org/10.1186/s40409-018-0151-1)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30

    Holmes VA, Wallace JM, Gilmore WS, McFaul P, Alexander HD. Soluble P-selectin levels during normal pregnancy: a longitudinal study. BJOG 2002 109 9971002. (https://doi.org/10.1111/j.1471-0528.2002.01523.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31

    Diaz-Morales N, Rovira-Llopis S, Bañuls C, Lopez-Domenech S, Escribano-Lopez I, Veses S, Jover A, Rocha M, Hernandez-Mijares A, Victor VM. Does metformin protect diabetic patients from oxidative stress and leukocyte-endothelium interactions? Antioxidants and Redox Signaling 2017 27 14391445. (https://doi.org/10.1089/ars.2017.7122)

    • PubMed
    • Search Google Scholar
    • Export Citation

 

  • Collapse
  • Expand
  • Figure 1

    Flowchart of patient recruitment for randomization.

  • Figure 2

    Comparisons of MPV, 8-isoprotane, and P-selectin levels between the two groups at baseline (A, B, and C) and after treatment (D, E, and F).

  • 1

    Simmons D Prevention of gestational diabetes mellitus: where are we now? Diabetes, Obesity and Metabolism 2015 17 824834. (https://doi.org/10.1111/dom.12495)

  • 2

    Zhu Y, Zhang C. Prevalence of gestational diabetes and risk of progression to type 2 diabetes: a global perspective. Current Diabetes Reports 2016 16 7. (https://doi.org/10.1007/s11892-015-0699-x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3

    Akinci B, Celtik A, Yener S, Yesil S. Prediction of developing metabolic syndrome after gestational diabetes mellitus. Fertility and Sterility 2010 93 12481254. (https://doi.org/10.1016/j.fertnstert.2008.12.007)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4

    Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet 2009 373 17731779. (https://doi.org/10.1016/S0140-6736(0960731-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5

    Lauenborg J, Hansen T, Jensen DM, Vestergaard H, Mølsted-Pedersen L, Hornnes P, Locht H, Pedersen O, Damm P. Increasing incidence of diabetes after gestational diabetes: a long-term follow-up in a Danish population. Diabetes Care 2004 27 11941199. (https://doi.org/10.2337/diacare.27.5.1194)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6

    Hernandez TL, Van Pelt RE, Anderson MA, Reece MS, Reynolds RM, de la Houssaye BA, Heerwagen M, Donahoo WT, Daniels LJ & Chartier-Logan C et al.Women with gestational diabetes mellitus randomized to a higher-complex carbohydrate/low-fat diet manifest lower adipose tissue insulin resistance, inflammation, glucose, and free fatty acids: a pilot study. Diabetes Care 2016 39 3942. (https://doi.org/10.2337/dc15-0515)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7

    Santilli F, Vazzana N, Liani R, Guagnano MT, Davi G. Platelet activation in obesity and metabolic syndrome. Obesity Reviews 2012 13 2742. (https://doi.org/10.1111/j.1467-789X.2011.00930.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8

    Darenskaya MA, Kolesnikova LI, Kolesnikov SI. Oxidative stress: pathogenetic role in diabetes mellitus and its complications and therapeutic approaches to correction. Bulletin of Experimental Biology and Medicine 2021 171 179189. (https://doi.org/10.1007/s10517-021-05191-7)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9

    Mazzanti L, Nanetti L, Vignini A, Rabini RA, Grechi G, Cester N, Curzi CM, Tranquilli AL. Gestational diabetes affects platelet behaviour through modified oxidative radical metabolism. Diabetic Medicine 2004 21 6872. (https://doi.org/10.1046/j.1464-5491.2003.01081.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10

    Shang M, Dong X, Hou L. Correlation of adipokines and markers of oxidative stress in women with gestational diabetes mellitus and their newborns. Journal of Obstetrics and Gynaecology Research 2018 44 637646. (https://doi.org/10.1111/jog.13586)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11

    Woollard KJ, Chin-Dusting J. P-selectin antagonism in inflammatory disease. Current Pharmaceutical Design 2010 16 41134118. (https://doi.org/10.2174/138161210794519192)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12

    André P P-selectin in haemostasis. British Journal of Haematology 2004 126 298306. (https://doi.org/10.1111/j.1365-2141.2004.05032.x)

  • 13

    Huo Y, Xia L. P-selectin glycoprotein ligand-1 plays a crucial role in the selective recruitment of leukocytes into the atherosclerotic arterial wall. Trends in Cardiovascular Medicine 2009 19 140145. (https://doi.org/10.1016/j.tcm.2009.07.006)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14

    Woollard KJ, Chin-Dusting J. Therapeutic targeting of p-selectin in atherosclerosis. Inflammation and Allergy Drug Targets 2007 6 6974. (https://doi.org/10.2174/187152807780077345)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15

    Jagroop IA, Tsiara S, Mikhailidis DP. Mean platelet volume as an indicator of platelet activation: methodological issues. Platelets 2003 14 335336. (https://doi.org/10.1080/0953710031000137055)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16

    Dundar O, Yoruk P, Tutuncu L, Erikci AA, Muhcu M, Ergur AR, Atay V, Mungen E. Longitudinal study of platelet size changes in gestation and predictive power of elevated MPV in development of pre-eclampsia. Prenatal Diagnosis 2008 28 10521056. (https://doi.org/10.1002/pd.2126)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17

    Bozkurt N, Yilmaz E, Biri A, Taner Z, Himmetoglu O. The mean platelet volume in gestational diabetes. Journal of Thrombosis and Thrombolysis 2006 22 5154. (https://doi.org/10.1007/s11239-006-8322-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18

    Hekimsoy Z, Payzin B, Ornek T, Kandogan G. Mean platelet volume in type 2 diabetic patients. Journal of Diabetes and its Complications 2004 18 173176. (https://doi.org/10.1016/S1056-8727(0200282-9)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19

    Coban E, Bostan F, Ozdogan M. The mean platelet volume in subjects with impaired fasting glucose. Platelets 2006 17 6769. (https://doi.org/10.1080/09537100500220729)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20

    Zhou Z, Chen H, Sun M, Ju H. Mean platelet volume and gestational diabetes mellitus: a systematic review and meta-analysis. Journal of Diabetes Research 2018 2018 1985026. (https://doi.org/10.1155/2018/1985026)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21

    Formoso G, De Filippis EA, Michetti N, Di Fulvio P, Pandolfi A, Bucciarelli T, Ciabattoni G, Nicolucci A, Davi G, Consoli A. Decreased in vivo oxidative stress and decreased platelet activation following metformin treatment in newly diagnosed type 2 diabetic subjects. Diabetes/Metabolism Research and Reviews 2008 24 231237. (https://doi.org/10.1002/dmrr.794)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22

    Kuang Y, Hu B, Feng G, Xiang M, Deng Y, Tan M, Li J, Song J. Metformin prevents against oxidative stress-induced senescence in human periodontal ligament cells. Biogerontology 2020 21 1327. (https://doi.org/10.1007/s10522-019-09838-x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23

    Dolasik I, Sener SY, Celebi K, Aydin ZM, Korkmaz U, Canturk Z. The effect of metformin on mean platelet volume in diabetic patients. Platelets 2013 24 118121. (https://doi.org/10.3109/09537104.2012.674165)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24

    Gasparyan AY, Ayvazyan L, Mikhailidis DP, Kitas GD. Mean platelet volume: a link between thrombosis and inflammation? Current Pharmaceutical Design 2011 17 4758. (https://doi.org/10.2174/138161211795049804)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25

    Papanas N, Mikhailidis DP. Mean platelet volume: a predictor of mortality in diabetic and non-diabetic patients with STEMI? Journal of Diabetes and its Complications 2014 28 581582. (https://doi.org/10.1016/j.jdiacomp.2014.05.004)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26

    ACOG Practice Bulletin No. 190 Summary: gestational diabetes mellitus. Obstetrics and Gynecology 2018 131 406408. (https://doi.org/10.1097/AOG.0000000000002498)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27

    Feig DS, Donovan LE, Zinman B, Sanchez JJ, Asztalos E, Ryan EA, Fantus IG, Hutton E, Armson AB & Lipscombe LL et al.Metformin in women with type 2 diabetes in pregnancy (MiTy): a multicentre, international, randomised, placebo-controlled trial. Lancet: Diabetes and Endocrinology 2020 8 834844. (https://doi.org/10.1016/S2213-8587(2030310-7)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28

    Sak ME, Soydinc HE, Ozler A, Evsen MS, Turgut A, Sak S, Gul T. Platelet profile in patients with gestational diabetes: a retrospective study. Journal of the Turkish German Gynecological Association 2012 13 223226. (https://doi.org/10.5152/jtgga.2012.34)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29

    Benjamin JM, Chippaux JP, Sambo BT, Massougbodji A. Delayed double reading of whole blood clotting test (WBCT) results at 20 and 30 minutes enhances diagnosis and treatment of viper envenomation. Journal of Venomous Animals and Toxins Including Tropical Diseases 2018 24 14. (https://doi.org/10.1186/s40409-018-0151-1)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30

    Holmes VA, Wallace JM, Gilmore WS, McFaul P, Alexander HD. Soluble P-selectin levels during normal pregnancy: a longitudinal study. BJOG 2002 109 9971002. (https://doi.org/10.1111/j.1471-0528.2002.01523.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31

    Diaz-Morales N, Rovira-Llopis S, Bañuls C, Lopez-Domenech S, Escribano-Lopez I, Veses S, Jover A, Rocha M, Hernandez-Mijares A, Victor VM. Does metformin protect diabetic patients from oxidative stress and leukocyte-endothelium interactions? Antioxidants and Redox Signaling 2017 27 14391445. (https://doi.org/10.1089/ars.2017.7122)

    • PubMed
    • Search Google Scholar
    • Export Citation