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2026
:13;
6
doi:
10.25259/FSR_54_2025

Treating Maternal Hyperglycaemia in Gestational Diabetes Mellitus Without Addressing Maternal Pre-pregnancy Weight: A Case of “Shooting the Messenger”

Department of Reproductive Medicine, Chettinad Medical College, Chennai, Tamil Nadu, India
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Corresponding author: Kanchana Devi Balakrishnan, Department of Reproductive Medicine, Chettinad Medical College, Chennai, Tamil Nadu, India. kanchanadevi2001@yahoo.co.in
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This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Balakrishnan KD, Natarajan P. Treating Maternal Hyperglycaemia in Gestational Diabetes Mellitus Without Addressing Maternal Pre-pregnancy Weight: A Case of “Shooting the Messenger”. Fertil Sci Res. 2026;13:6. doi: 10.25259/FSR_54_2025

Abstract

Gestational diabetes mellitus (GDM) poses significant challenges in modern obstetrics, driving increased monitoring and intervention. Emerging evidence suggests that the embryo's exposure to maternal hyperglycaemia and the consequent hyperinsulinaemia, leading to epigenetic changes and accelerated foetal growth, occurs much earlier than the typical 24–28-week screening window. Early epigenetic changes are the determinants of future health. Current research, though, demonstrates a moderate maternal and foetal benefit in treating GDM; the available data are not supportive of the prevention of long-term cardiometabolic health risks in the offspring despite treatment in mid-trimester. Pre-pregnancy maternal body mass index (BMI) and excessive gestational weight gain are more potent predictors of higher birth weight and macrosomia than mid-trimester hyperglycaemia alone. While treating hyperglycaemia is essential, addressing pre-pregnancy maternal high BMI is equally important.

Keywords

Epigenetics
GDM
Hyperglycaemia
Lifestyle
Maternal BMI
Macrosomia
Pre-conception care

INTRODUCTION

The incidence of gestational diabetes mellitus (GDM) varies between 1-14%.[1,2] GDM has been recognised as a high-risk factor for both maternal and foetal health.[3] The foetal effects of maternal hyperglycaemia range from macrosomia to foetal death, depending on the severity of the diabetes. Shoulder dystocia with risk of fractures and neuronal injuries, and Erb's palsy are increased.

Mothers have an increased risk of gestational hypertension, polyhydramnios, and pre-term labour. Foetal macrosomia also increases instrumental or operative deliveries and perineal trauma during delivery.

To improve the maternal and foetal outcomes, diagnostic criteria for GDM and treatment protocols to correct maternal hyperglycaemia were designed.[4-6]

Risk factors for GDM include genetic susceptibility, multiparity, age, race and ethnicity, family history of GDM, previous GDM, and high maternal BMI. Among these, only maternal BMI is modifiable. A retrospective study on body fat composition and type 2 DM showed that the correlation was better with percentage of body fat (PBF) than body mass index (BMI).[7] The normal BMI group exhibited a prevalence of low muscle mass of 55.6% and sarcopenic obesity of 34.8% in that study. Sarcopenia and sarcopenic obesity in Asian women are contributors to GDM prevalence in women with normal BMI. BMI as a predictor for GDM is race and ethnicity-based.[8] Its performance at the cut-off level of >25 is a better predictor in African American women (77% prediction) compared to 25% prediction in Asian women.[8]

The current focus on treating hyperglycaemia during pregnancy, particularly for mild GDM, overlooks the more fundamental issue of pre-pregnancy maternal weight and its underlying metabolic state. In the majority of women, GDM is not due to an insulin-deficient state but one in which insulin resistance is initiated by high pre-pregnant maternal BMI.

Women who start pregnancy with high BMI and those who gain excess weight during pregnancy are prone to GDM. It may be considered that the hyperglycaemia associated with GDM is the unmasking of type 2 diabetes due to the challenges brought by the placental hormones over a pre-existing insulin-resistant state. It is a common observation that when the demand for excess sugars ceases after the placenta is delivered, all the changes regress and normoglycaemia is restored. Hence, identifying and treating maternal hyperglycaemia is like shooting the messenger, ignoring the primary cause.

Triad of hyperglycaemia, high BMI, and macrosomia

Maternal hyperglycaemia and adverse foetal effects have a linear correlation, as evidenced by the Hyperglycaemia and Adverse Pregnancy Outcome (HAPO) study.[9] The HAPO study revealed a linear association between maternal glucose levels and adverse foetal outcomes, even below traditional diagnostic thresholds. While this showed that any level of hyperglycaemia might be suboptimal, the absence of an inflexion point made defining a 'pathological' threshold challenging; hence, a cut-off was decided based on the risk for macrosomia.

As we accept the influence of hyperglycaemia on the birth weight of the baby, evidence strongly supports the influence of maternal pre-pregnancy BMI in increasing the risk of foetal macrosomia. High maternal BMI is an independent risk factor for foetal macrosomia, even in the presence or absence of hyperglycaemia. The other mechanisms involved in macrosomia in women with high BMI are the placental changes, which enhance the supply of amino acids through the altered mTOR pathway, free fatty acids, and triglycerides, even in well-controlled GDM.[10] Many mothers who don’t have diabetes with high BMI are prone to macrosomic babies.

Foetal epigenetics and impact on future health

A Danish longitudinal study, which compared intrauterine growth with children's growth after birth until 9 years of age in GDM and non-GDM mothers, underscored the strong contribution of maternal pre-pregnancy BMI and excessive gestational weight gain to foetal growth and macrosomia, often overshadowing hyperglycaemia's contribution.[11,12]

The GDM-treated group had a 30.1% incidence of children with overweight compared to 16.9% of the non-GDM group on follow-up. The growth trajectory during intrauterine life and in childhood was influenced by the maternal BMI more than hyperglycaemia.

This observation prompts us to hypothesise that the altered epigenetics of the foetus exposed to maternal hyperglycaemia in the early stages of pregnancy contributes to the growth of children despite the GDM treatment carried out in the midtrimester. The epigenetic changes due to hyperglycaemia occur much earlier (embryonic stage) than the current practice of mid-trimester screening (24-28 weeks) for GDM.

Observations show that early exposure to maternal hyperglycaemia manifests as elevated foetal insulin and increased abdominal circumference as early as 16 and 19 weeks of pregnancy.[11,13]

Experimental animal/avian studies also support this view of hyperglycaemic embryopathy, even with a brief exposure of embryos to the hyperglycaemic milieu in the culture medium.[14,15]

The current screening timing of 24-28 weeks is too late to prevent these fundamental developmental programming effects. It is also of value to note that even screening early at 14 weeks and treating women is not beneficial in improving long-term foetal outcomes.

The RCTs done to assess the effect of treating mild GDM, the Australian Carbohydrate Intolerance Study in Pregnant Women (ACHOIS) and Treatment of Gestational Diabetes Mellitus Diagnosed Early in Pregnancy (TOBOGM) trials did show a reduction in other adverse outcomes often associated with macrosomia (e.g., shoulder dystocia), large for gestational age babies, and preeclampsia in the mother. [16-18] In these studies, with no difference in severe foetal outcomes, the treated arm had more inductions/Neonatal Intensive Care Unit (NICU) admissions. The TOBOGM trial, which recruited women early in gestation between 4 to 19+6 weeks of gestation and compared the differences between treated and observed arms for mild GDM, showed a modest difference in composite specific foetal outcome (24.9% in the immediate treatment group and 30.5% in the observation group), but no difference in lean body mass or maternal outcomes. The children were not followed beyond preschool age to evaluate the cardiometabolic risks.[16-18]

The argument is not that GDM is benign but that its treatment at current screening times does not address the primary problem or prevent long-term risks to the offspring, particularly when compared to the profound impact of pre-pregnancy maternal BMI.[19,20]

Mothers with high-fat mass have elevated insulin due to insulin resistance, which acts as a growth factor leading to more maternal weight gain and hyperglycaemia.[21,22]

Some mothers who have a normal BMI also develop GDM. If we take a closer look, apart from the genetic predisposition, these women give a history of weight gain, which contributes to their BMI, which has moved from the low to the normal category.[23]

The ideal approach

The preferred point of intervention to add benefit to the screening program is before pregnancy, by idealising maternal body composition to prevent the development of insulin resistance. The benefit of pre-pregnancy weight loss is evidenced by the recently published trial, where the intervention arm, which lost more weight before pregnancy, had a 10% absolute reduction in GDM compared to the control arm without any difference in the birthweight between the two groups.[24] The intervention group gained more weight during pregnancy than the control arm. The trial is looking for long-term follow-up of these children to study the impact of weight loss prior to pregnancy on early foetal development and its future cardio-metabolic risks.

Primary prevention through pre-conception weight management

We propose that idealising maternal weight and health before conception is a truly effective strategy. We reiterate that the current screening of GDM at mid-trimester is “secondary prevention” at best, missing early epigenetic changes, and cannot “reverse” GDM completely, or reduce the future risk of developing type 2 diabetes in the mother.

Factors impacting weight loss

Implementing weight loss programs is not without challenges. Initiating and sustaining a behavioural change depends on multiple factors that range from personal motivation, husband's or partner's behaviour, social support, to the mental health of the woman concerned.[25] The above factors are compounded by the lack of awareness among women about the risks of high maternal BMI on the offspring. Hence, our role is to highlight the risks involved in attempting pregnancy with a high BMI and educate about methods to reduce weight, while respecting their autonomy. On the other hand, we need to continue the current standard of care in women at considerable risk for GDM. Directing our focus on creating robust prospective evidence on the positive impact of pre-pregnancy correction of maternal BMI on the long-term health of children should be our immediate goal.

A couplet called “Thirukkural”, written by poet Thiruvalluvar, says the ideal way to treat a disease is to address its root cause. (couplet 948).[26]

CONCLUSION

Foetal macrosomia has many factors contributing to it. The primary factors are maternal hyperglycaemia and high pre-pregnant BMI, which are collinear factors in the majority. Both factors have an influence on early embryonic development, which unfolds into long-term health. Apart from focusing on screening and treating for hyperglycaemia in pregnancy, improving maternal BMI will go a long way in assuring the future health of children. Targeting pre-pregnancy weight through lifestyle is the most effective modification of risk factors, which is also a sustainable and long-term beneficial intervention for both mother and child. Pharmacological interventions for GDM should be reserved for established diabetes or specific severe cases.

Author contributions:

PN: conceptualised the idea;

KDB: Performed Literature search, wrote the manuscript and edited the text.

Ethical approval:

Institutional Review Board approval is not required.

Declaration of patient consent:

Patient’s consent not required as there are no patients in this study.

Conflicts of interest:

There are no conflicts of interest

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that they have used artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript or image creations and for improving readability of the article and grammar check only.

Financial support and sponsorship: Nil

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