Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences

Fetal adaptations to adverse intrauterine conditions may predispose the individual to metabolic, cardiovascular, and neurodevelopmental disorders later in life.

“However, such adaptations—while advantageous for short-term survival—may predispose the individual to metabolic, cardiovascular, and neurodevelopmental disorders later in life, a phenomenon often referred to as “fetal programming” [3,4].”

• cites [3] Godfrey, 2017, Influence of Maternal Obesity on the Long-Term Health of Offspring, Lancet Diabetes Endocrinol. sourcePartly supported

  The Introduction reports that maternal obesity can permanently alter fetal metabolic processes, and the Conclusion links it to later metabolic, cardiovascular, and possible neurodevelopmental outcomes. The paper does not establish that these fetal changes are advantageous for short-term survival, and its evidence centers on maternal obesity rather than adverse intrauterine conditions generally. Page numbers are not available in our copy. (LLM, conf=0.84)

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• cites [4] Hanson, 2014, Early Developmental Conditioning of Later Health and Disease: Physiology or Pathophysiology?, Physiol. Rev. sourceNot checked — no full text of the source

The fetus exhibits plasticity enabling physiological adaptations to adverse intrauterine conditions such as nutrient deprivation or hormonal imbalances.

“The fetus exhibits a remarkable degree of plasticity, enabling physiological adaptations to adverse intrauterine conditions, such as nutrient deprivation or hormonal imbalances.”

• cites [3] Godfrey, 2017, Influence of Maternal Obesity on the Long-Term Health of Offspring, Lancet Diabetes Endocrinol. sourcePartly supported

  The Introduction reports that maternal obesity can alter fetal metabolic processes, including the response to leptin, and the neurocognitive outcomes section describes effects of elevated nutrients and hormones on fetal development. These passages support fetal responses to the intrauterine environment, but they do not establish a general capacity for adaptive plasticity or address nutrient deprivation. (LLM, conf=0.82)

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• cites [4] Hanson, 2014, Early Developmental Conditioning of Later Health and Disease: Physiology or Pathophysiology?, Physiol. Rev. sourceNot checked — no full text of the source

Epigenetic changes induced by maternal overnutrition may be transmitted across generations.

“Emerging evidence suggests that epigenetic changes induced by maternal overnutrition may be transmitted across generations”

• cites [6] Heijmans, 2008, Persistent Epigenetic Differences Associated with Prenatal Exposure to Famine in Humans, Proc. Natl. Acad. Sci. USA sourcePartly supported

  The Abstract reports persistent epigenetic differences in people prenatally exposed to famine. The Discussion identifies overnutrition as an exposure whose effects remain to be investigated; it does not show that maternal overnutrition induces epigenetic changes or that those changes are transmitted across generations. Page numbers are unavailable in our copy. (LLM, conf=0.86)

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• cites [7] Lillycrop, 2011, Epigenetic Changes in Early Life and Future Risk of Obesity, Int. J. Obes. sourceNot checked — no full text of the source

Developmental effects of suboptimal intrauterine environments are mediated by epigenetic mechanisms that influence gene expression without altering the DNA sequence.

“A growing body of evidence suggests that these developmental effects are mediated by epigenetic mechanisms, which collectively influence gene expression patterns without altering the DNA sequence [6,7].”

• cites [6] Heijmans, 2008, Persistent Epigenetic Differences Associated with Prenatal Exposure to Famine in Humans, Proc. Natl. Acad. Sci. USA sourceSupported
• cites [7] Lillycrop, 2011, Epigenetic Changes in Early Life and Future Risk of Obesity, Int. J. Obes. sourceNot checked — no full text of the source

In utero exposure to maternal hyperglycemia leads to excessive fetal growth that is already present at the first diagnosis of GDM.

“Recent research demonstrates that in utero exposure to maternal hyperglycemia leads to excessive fetal growth that is already present at the first diagnosis of GDM, which is made through a screening test from the 24th week of gestation.”

• cites [30] Karcz, K., and Królak-Olejnik, B. (2024). Impact of Gestational Diabetes Mellitus on Fetal Growth and Nutritional Status in Newborns. Nutrients, 16. sourcePartly supported

  Section 3 states that maternal hyperglycemia causes excessive fetal growth, and Section 8 reports a greater fetal growth rate in women with GDM during the third trimester. Neither passage establishes that excessive growth is already present when GDM is first diagnosed; the cited paper therefore supports the growth mechanism but not the claim’s timing. (LLM, conf=0.86)

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Maternal metabolic adaptation in pregnancy is mediated by the placenta, which secretes hormones and growth factors that mediate maternal physiological adaptation.

“Maternal metabolic adaptation in pregnancy is mediated by the placenta, which is a highly active endocrine organ and most crucial interface between the mother and the fetus. The placenta secretes hormones and growth factors mediating maternal physiological adaptation to pregnancy, resulting in dramatic effects on the mother’s metabolism.”

• cites [19] Napso, T., Yong, H.E.J., Lopez-Tello, J., and Sferruzzi-Perri, A.N. (2018). The Role of Placental Hormones in Mediating Maternal Adaptations to Support Pregnancy and Lactation. Front. Physiol., 9. sourceSupported
• cites [20] Catalano, 2017, Obesity and Pregnancy: Mechanisms of Short Term and Long Term Adverse Consequences for Mother and Child, BMJ sourceNot checked — no full text of the source

In late gestation, insulin sensitivity is reduced by 40-80% in gravidae with normal or elevated body mass index.

“Evidence from late-gestation studies demonstrates that insulin sensitivity is reduced by 40–80% in gravidae with normal or elevated body mass index.”

• cites [31] Sweeting, 2022, A Clinical Update on Gestational Diabetes Mellitus, Endocr. Rev. sourcePartly supported

  The Pathophysiology of GDM section reports a 40–80% decrease by late pregnancy in women with normal or increased BMI, but calls the measured quantity maternal glucose sensitivity, not insulin sensitivity. The same passage describes increasing insulin resistance, supporting the claim’s general direction but not its precise attribution of the percentage. (LLM, conf=0.84)

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• cites [37] Buchanan, 2005, Gestational Diabetes Mellitus, J. Clin. Investig. sourceNot checked — no full text of the source
• cites [38] Butte, 2000, Carbohydrate and Lipid Metabolism in Pregnancy: Normal Compared with Gestational Diabetes Mellitus, Am. J. Clin. Nutr. sourceNot checked — no full text of the source
• cites [39] Catalano, 1999, Longitudinal Changes in Glucose Metabolism during Pregnancy in Obese Women with Normal Glucose Tolerance and Gestational Diabetes Mellitus, Am. J. Obstet. Gynecol. sourceNot checked — no full text of the source
• cites [40] Bastian, 2024, Early Screening and Diagnosis of Gestational Diabetes Mellitus (GDM) and Its Impact on Perinatal Outcomes, Diabetes Res. Clin. Pract. sourceNot checked — no full text of the source

Normal pregnancy is associated with a progressive increase in insulin resistance predominantly due to increased circulating placental hormones including growth hormone, corticotrophin-releasing hormone, human placental lactogen, prolactin, estrogen, and progesterone.

“There is a progressive increase in insulin resistance, predominantly due to increased circulating placental hormones, including growth hormone, corticotrophin-releasing hormone, human placental lactogen, prolactin, estrogen, and progesterone.”

• cites [31] Sweeting, 2022, A Clinical Update on Gestational Diabetes Mellitus, Endocr. Rev. sourceSupported
• cites [37] Buchanan, 2005, Gestational Diabetes Mellitus, J. Clin. Investig. sourceNot checked — no full text of the source
• cites [38] Butte, 2000, Carbohydrate and Lipid Metabolism in Pregnancy: Normal Compared with Gestational Diabetes Mellitus, Am. J. Clin. Nutr. sourceNot checked — no full text of the source

A high-fat diet upregulates placental lipoprotein lipase and fatty acid transporters CD36 and VLDLr, elevating triglyceride content and fetal free fatty acids.

“Complementary findings by Qiao et al. (2015) demonstrated that a high-fat diet upregulates placental lipoprotein lipase (LPL) and fatty acid transporters (CD36, VLDLr), elevating triglyceride content and fetal free fatty acids [53].”

• cites [53] Qiao, 2015, Maternal High-Fat Feeding Increases Placental Lipoprotein Lipase Activity by Reducing SIRT1 Expression in Mice, Diabetes sourceSupported

The temporal pattern of increasing insulin resistance provides the physiological rationale for screening for GDM at 24-28 weeks' gestation.

“The temporal pattern of increasing insulin resistance provides the physiological rationale for screening for GDM at 24–28 weeks’ gestation, when metabolic derangement is most pronounced and diagnostic sensitivity is optimized [31,37,38,39,40].”

• cites [31] Sweeting, 2022, A Clinical Update on Gestational Diabetes Mellitus, Endocr. Rev. sourceSupported
• cites [37] Buchanan, 2005, Gestational Diabetes Mellitus, J. Clin. Investig. sourceNot checked — no full text of the source
• cites [38] Butte, 2000, Carbohydrate and Lipid Metabolism in Pregnancy: Normal Compared with Gestational Diabetes Mellitus, Am. J. Clin. Nutr. sourceNot checked — no full text of the source
• cites [39] Catalano, 1999, Longitudinal Changes in Glucose Metabolism during Pregnancy in Obese Women with Normal Glucose Tolerance and Gestational Diabetes Mellitus, Am. J. Obstet. Gynecol. sourceNot checked — no full text of the source
• cites [40] Bastian, 2024, Early Screening and Diagnosis of Gestational Diabetes Mellitus (GDM) and Its Impact on Perinatal Outcomes, Diabetes Res. Clin. Pract. sourceNot checked — no full text of the source

GDM is associated with adverse long-term health effects on offspring.

“In addition to obstetric and neonatal complications, GDM is associated with adverse long-term health effects on offspring.”

• cites [59] Zhao, 2016, Maternal Gestational Diabetes and Childhood Obesity at Age 9–11: Results of a Multinational Study, Diabetologia sourceSupported

Circulating miRNAs dysregulated in GDM are implicated in inflammation, endothelial dysfunction, lipid and glucose metabolism, and insulin signaling.

“Several miRNAs dysregulated in GDM have been implicated in inflammation, endothelial dysfunction, lipid and glucose metabolism, and insulin signaling.”

• cites [41] Lu, 2022, Molecular Biomarkers for Gestational Diabetes Mellitus and Postpartum Diabetes, Chin. Med. J. sourcePartly supported

  The “miRNAs in GDM” section reports dysregulated miRNAs associated with inflammation, endothelial dysfunction, and fatty-acid and glucose metabolism. It also discusses insulin resistance and secretion, but does not establish an effect on insulin signaling specifically. Although it identifies some dysregulated serum miRNAs, the mechanisms described are not all shown for circulating miRNAs; page numbers were not provided in our copy. (LLM, conf=0.85)

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• cites [43] Xie, 2023, Metabolomics in Gestational Diabetes Mellitus: A Review, Clin. Chim. Acta Int. J. Clin. Chem. sourceNot checked — no full text of the source
• cites [44] Yi, 2024, Epigenetic Modifications of Placenta in Women with Gestational Diabetes Mellitus and Their Offspring, World J. Diabetes sourcePartly supported

  The “Impact on the Expression of Placental miRNAs” section reports dysregulated miRNAs in GDM placentas and links them to lipid and glucose metabolism and insulin signaling (page not provided). It does not establish that these miRNAs are circulating or link them to inflammation or endothelial dysfunction. (LLM, conf=0.86)

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• cites [45] Pramodkumar, 2025, Biomarkers of Gestational Diabetes Mellitus: Mechanisms, Advances, and Clinical Utility, J. Assoc. Physicians India sourceNot checked — no full text of the source

Metabolomic studies of GDM consistently report alterations in circulating metabolites, particularly branched-chain amino acids.

“Metabolomic studies of GDM have consistently reported alterations in circulating metabolites, particularly branched-chain amino acids (BCAAs).”

• cites [41] Lu, 2022, Molecular Biomarkers for Gestational Diabetes Mellitus and Postpartum Diabetes, Chin. Med. J. sourceSupported
• cites [42] Lynch, 2014, Branched-Chain Amino Acids in Metabolic Signalling and Insulin Resistance, Nat. Rev. Endocrinol. sourcePartly supported

  The “BCAA dysmetabolism” section reports increased circulating BCAAs in people with insulin-resistant obesity or untreated type 2 diabetes. That supports a related metabolite finding, but the passages do not establish that metabolomic studies of gestational diabetes (GDM) consistently report it. (LLM, conf=0.84)

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Maternal obesity is associated with increased placental nutrient transport capacity.

“Maternal obesity has been associated with increased placental nutrient transport capacity, although the underlying biochemical mechanisms remain unclear.”

• cites [49] Rosario, 2016, Activation of Placental Insulin and mTOR Signaling in a Mouse Model of Maternal Obesity Associated with Fetal Overgrowth, Am. J. Physiol. Regul. Integr. Comp. Physiol. sourceNot checked — no full text of the source
• cites [50] Powell, 2014, The Role of Placental Nutrient Sensing in Maternal-Fetal Resource Allocation, Biol. Reprod.Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites [51] Kelly, 2020, Placental Function in Maternal Obesity, Clin. Sci. sourceSupported
• cites [52] Rosario, 2015, Increased Placental Nutrient Transport in a Novel Mouse Model of Maternal Obesity with Fetal Overgrowth, Obesity sourceSupported

A dose-dependent relationship exists between maternal antenatal glycemia and offspring metabolic parameters across the continuum of glucose concentrations.

“A dose-dependent relationship emerged between maternal antenatal glycemia and offspring metabolic parameters across the continuum of glucose concentrations.”

• cites [31] Sweeting, 2022, A Clinical Update on Gestational Diabetes Mellitus, Endocr. Rev. sourceSupported
• cites [32] Lowe, 2018, Association of Gestational Diabetes With Maternal Disorders of Glucose Metabolism and Childhood Adiposity, JAMA sourcePartly supported

  The Secondary Outcomes section (page unavailable) reports higher childhood adiposity measures among offspring of mothers with gestational diabetes than among those without it. It does not establish a dose-dependent relationship across the continuum of maternal glucose concentrations: the reported comparison is by gestational-diabetes status, and the child outcomes described are adiposity measures rather than metabolic parameters generally. (LLM, conf=0.87)

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• cites [60] William, 2019, Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Gestational Diabetes Mellitus and Childhood Glucose Metabolism, Diabetes Care sourcePartly supported

  The Results sections on childhood glucose levels and insulin sensitivity report associations between maternal GDM status and several offspring metabolic measures. They compare children of mothers with and without GDM; they do not establish a dose-dependent relationship across the continuum of maternal glucose concentrations. No page numbers are provided in our copy. (LLM, conf=0.86)

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• cites [61] Scholtens, 2019, Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism, Diabetes Care sourceSupported

Reduced SHBG levels and altered adipokine profiles in GDM and maternal obesity are linked to impaired placental glucose transport, inflammatory signaling, and epigenetic regulation of genes involved in fetal metabolic programming.

“Reduced SHBG levels and altered adipokine profiles observed in GDM and maternal obesity have been linked to impaired placental glucose transport, inflammatory signaling, and epigenetic regulation of genes involved in fetal metabolic programming [47].”

• cites [47] Karami, 2023, Biochemical and Molecular Biomarkers: Unraveling Their Role in Gestational Diabetes Mellitus, Diabetol. Metab. Syndr. sourcePartly supported

  The Biochemical markers section (page unavailable) reports reduced SHBG associated with GDM and obesity, altered leptin and adiponectin levels in GDM, and adiponectin’s anti-inflammatory properties. The Molecular markers section (page unavailable) separately reports GDM-associated placental and offspring DNA methylation changes. Neither section links reduced SHBG or altered adipokines to impaired placental glucose transport or to epigenetic regulation of genes involved in fetal metabolic programming. (LLM, conf=0.87)

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GDM-associated biomarkers contribute to the intrauterine conditions that predispose the offspring to long-term metabolic and cardiometabolic disorders.

“By influencing placental signaling pathways, nutrient transport, and gene expression, GDM-associated biomarkers contribute to the intrauterine conditions that predispose the offspring to long-term metabolic and cardiometabolic disorders [48].”

• cites [48] Zantout, 2015, The Role of Adipokines in Gestational Diabetes Mellitus, Ther. Adv. Endocrinol. Metab. sourcePartly supported

  The Introduction (page unavailable) reports that people born to mothers with GDM have a higher risk of obesity and type 2 diabetes as adults. The Methods (page unavailable) describe adipokine-related placental signaling, amino acid uptake, and possible in-utero programming of obesity, but treat the programming mechanism as tentative. They do not establish that GDM-associated biomarkers alter gene expression to cause long-term metabolic or cardiometabolic disorders in offspring. (LLM, conf=0.85)

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HAPO-FUS found persistent metabolic consequences of maternal hyperglycemia on long-term offspring glucose homeostasis, extending to glycemic levels below current GDM diagnostic thresholds.

“Findings revealed persistent metabolic consequences of maternal hyperglycemia on long-term offspring glucose homeostasis, notably extending to glycemic levels below current GDM diagnostic thresholds.”

• cites [31] Sweeting, 2022, A Clinical Update on Gestational Diabetes Mellitus, Endocr. Rev. sourceSupported
• cites [32] Lowe, 2018, Association of Gestational Diabetes With Maternal Disorders of Glucose Metabolism and Childhood Adiposity, JAMA sourcePartly supported

  The Abstract and Primary and Secondary Outcomes section describe follow-up 10–14 years after pregnancy, but distinguish maternal glucose-metabolism outcomes from childhood adiposity outcomes. The Secondary Outcomes section reports greater adiposity in children exposed to gestational diabetes; it does not establish altered offspring glucose homeostasis. The paper defines the exposure using IADPSG gestational-diabetes thresholds, so these findings do not establish offspring effects below those thresholds. (LLM, conf=0.88)

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• cites [60] William, 2019, Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Gestational Diabetes Mellitus and Childhood Glucose Metabolism, Diabetes Care sourcePartly supported

  The Results section (page unavailable) reports associations between maternal GDM and altered glucose metabolism in offspring aged 10–14, including when mothers met IADPSG/WHO criteria but not the older Carpenter-Coustan criteria. It does not establish an effect below the IADPSG/WHO GDM diagnostic thresholds, and its observational associations do not establish that maternal hyperglycemia caused the changes. (LLM, conf=0.88)

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• cites [61] Scholtens, 2019, Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism, Diabetes Care sourcePartly supported

  The Results (Associations Between Categorical Maternal Glycemia and Child Glucose Outcomes; page unavailable) report a continuous relationship between maternal glucose and child glucose measures at ages 10–14, including maternal glucose categories below the GDM diagnostic thresholds. But the study reports associations, not established persistent metabolic consequences caused by maternal hyperglycemia; the Conclusions describe fetal programming only as a potential contribution. (LLM, conf=0.86)

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Maternal obesity is associated with adverse outcomes for offspring long-term health.

“It is well established that maternal obesity is associated with adverse outcomes for offspring long-term health.”

• cites [73] Eriksson, 2015, Maternal Weight in Pregnancy and Offspring Body Composition in Late Adulthood: Findings from the Helsinki Birth Cohort Study (HBCS), Ann. Med. sourceNot checked — no full text of the source
• cites [74] Hochner, 2012, Associations of Maternal Pre-Pregnancy Body Mass Index and Gestational Weight Gain with Adult Offspring Cardio-Metabolic Risk Factors: The Jerusalem Perinatal Family Follow-up Study, Circulation sourceSupported
• cites [75] Lawlor, 2012, Maternal Adiposity—A Determinant of Perinatal and Offspring Outcomes?, Nat. Rev. Endocrinol. sourceNot checked — no full text of the source

Increased glucose-linked hypothalamic activation in offspring exposed to maternal obesity and GDM in utero is one possible mechanism for increased childhood obesity risk.

“Furthermore, recent evidence shows that there is increased glucose-linked hypothalamic activation in offspring who were previously exposed to maternal obesity and GDM in utero, which represents one possible mechanism for this increased childhood obesity risk [31,32,60,61].”

• cites [31] Sweeting, 2022, A Clinical Update on Gestational Diabetes Mellitus, Endocr. Rev. sourceSupported
• cites [32] Lowe, 2018, Association of Gestational Diabetes With Maternal Disorders of Glucose Metabolism and Childhood Adiposity, JAMA sourceCould not verify

  The Discussion reports an association between gestational diabetes and measures of childhood adiposity, but does not address hypothalamic activation or propose it as a mechanism. Searches for glucose-linked hypothalamic activation and neural responses to glucose in exposed offspring found no relevant passage in our copy. Page numbers were not available. (LLM, conf=0.72)

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• cites [60] William, 2019, Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Gestational Diabetes Mellitus and Childhood Glucose Metabolism, Diabetes Care sourcePartly supported

  The Conclusions (page unavailable) state that GDM was associated with offspring obesity and adiposity in the HAPO FUS cohort. But our copy does not report glucose-linked hypothalamic activation or identify it as a mechanism for childhood obesity risk; searches for hypothalamic activation and neural response to glucose found no such passage. (LLM, conf=0.82)

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• cites [61] Scholtens, 2019, Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism, Diabetes Care sourcePartly supported

  The Conclusions report an association between higher maternal glucose levels and childhood obesity in a related HAPO FUS analysis, and describe fetal programming as a possibility (page not provided). They do not report glucose-linked hypothalamic activation or identify it as a mechanism, so the claim’s central mechanistic point is unsupported by this paper. (LLM, conf=0.84)

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Obesity predisposes newborns to an increased risk of obesity and cardiometabolic diseases in adulthood, such as hypertension, type II diabetes, and dyslipidemia.

“Obesity, in addition to increasing the risk of adverse pregnancy outcomes, mainly represented by obstetric complications caused by excessive fetal growth, also has the capacity to predispose newborns to an increased risk of obesity and cardiometabolic diseases in adulthood, such as hypertension, type II diabetes, and dyslipidemia [3,72].”

• cites [3] Godfrey, 2017, Influence of Maternal Obesity on the Long-Term Health of Offspring, Lancet Diabetes Endocrinol. sourcePartly supported

  The Body composition and cardiometabolic outcomes section links maternal obesity with higher offspring BMI in adulthood and reports more cardiovascular disease and type 2 diabetes among adult offspring of obese mothers. It associates higher blood pressure and adverse lipid profiles with offspring in childhood, but says associations with other cardiovascular risk factors were not consistent in adults. Thus, the specific claims about adult hypertension and dyslipidemia go beyond the evidence presented. (LLM, conf=0.87)

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• cites [72] 2022, Early Life Programming of Health and Disease: The Long-Term Consequences of Obesity in Pregnancy, J. Hum. Nutr. Diet. sourcePartly supported

  The ‘Maternal obesity and the programming of disease’ section reports increased obesity risk in young adult offspring and increased type 2 diabetes and cardiovascular disease risk in adults. It reports raised blood pressure and dyslipidaemia in 13-year-old offspring, but does not establish hypertension or dyslipidaemia as adult outcomes of maternal obesity. Page numbers are unavailable in our copy. (LLM, conf=0.85)

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Increased adiposity in offspring can explain the relationship between high maternal BMI and increased risk of cardiometabolic diseases.

“Increased adiposity in offspring can explain the relationship between high maternal BMI and increased risk of cardiometabolic diseases [73,74,75].”

• cites [73] Eriksson, 2015, Maternal Weight in Pregnancy and Offspring Body Composition in Late Adulthood: Findings from the Helsinki Birth Cohort Study (HBCS), Ann. Med. sourceNot checked — no full text of the source
• cites [74] Hochner, 2012, Associations of Maternal Pre-Pregnancy Body Mass Index and Gestational Weight Gain with Adult Offspring Cardio-Metabolic Risk Factors: The Jerusalem Perinatal Family Follow-up Study, Circulation sourceSupported
• cites [75] Lawlor, 2012, Maternal Adiposity—A Determinant of Perinatal and Offspring Outcomes?, Nat. Rev. Endocrinol. sourceNot checked — no full text of the source

Recent epidemiological studies show a relationship between increased risk of cardiometabolic diseases in adulthood for offspring of women whose pregnancy was complicated by GDM.

“Recent epidemiological studies show a relationship between an increased risk of cardiometabolic diseases in adulthood for offspring of women whose pregnancy has been complicated by GDM.”

• cites [33] Dabelea, 2011, Maternal Environment and the Transgenerational Cycle of Obesity and Diabetes, Diabetes sourcePartly supported

  The ‘Cardiovascular risk factors’ and ‘Glucose abnormalities and type 2 diabetes’ sections report elevated cardiometabolic risk factors and diabetes among offspring exposed to maternal GDM. The human findings described are in children and adolescents, however; the paper suggests possible cardiovascular risk later in life rather than reporting an observed increase in cardiometabolic disease in adulthood. Page numbers are unavailable in our copy. (LLM, conf=0.87)

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• cites [62] Yu, 2019, Maternal Diabetes during Pregnancy and Early Onset of Cardiovascular Disease in Offspring: Population Based Cohort Study with 40 Years of Follow-Up, BMJ sourcePartly supported

  The Results (page not provided) report increased early-onset cardiovascular disease among offspring exposed to gestational diabetes, including in early adulthood (ages 20–40). They also report higher rates of metabolic conditions among offspring exposed to maternal diabetes overall, but do not establish those outcomes specifically for gestational diabetes or address adulthood beyond age 40. The claim is therefore broader than this study’s findings. (LLM, conf=0.85)

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• cites [63] Clausen, 2009, Overweight and the Metabolic Syndrome in Adult Offspring of Women with Diet-Treated Gestational Diabetes Mellitus or Type 1 Diabetes, J. Clin. Endocrinol. Metab. sourceNot checked — no full text of the source
• cites [64] Boney, 2005, Metabolic Syndrome in Childhood: Association with Birth Weight, Maternal Obesity, and Gestational Diabetes Mellitus, Pediatrics sourceNot checked — no full text of the source
• cites [65] Gluckman, 2008, Effect of in Utero and Early-Life Conditions on Adult Health and Disease, N. Engl. J. Med. sourcePartly supported

  In “Epidemiologic and Clinical Observations” (page unavailable), the paper says that offspring of women with diabetes have a greater risk of metabolic disorders, even during childhood. It does not specifically identify gestational diabetes (GDM) or establish cardiometabolic disease risk in adulthood for that group. (LLM, conf=0.86)

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Yu Y. et al. demonstrated an association between gestational diabetes and an increased rate of early-onset cardiovascular diseases (≤40 years old) in offspring.

“A large study conducted by Yu Y. et al. demonstrated an association between gestational diabetes and an increased rate of early-onset cardiovascular diseases (CVD; ≤40 years old) in offspring.”

• cites [33] Dabelea, 2011, Maternal Environment and the Transgenerational Cycle of Obesity and Diabetes, Diabetes sourcePartly supported

  The “Cardiovascular risk factors” section reports elevated blood pressure and other cardiovascular risk markers in children exposed to maternal diabetes, including gestational diabetes. It suggests possible cardiovascular disease risk later in life, but does not report an increased rate of diagnosed CVD by age 40 or identify a study by Yu Y. (LLM, conf=0.87)

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• cites [62] Yu, 2019, Maternal Diabetes during Pregnancy and Early Onset of Cardiovascular Disease in Offspring: Population Based Cohort Study with 40 Years of Follow-Up, BMJ sourceSupported
• cites [63] Clausen, 2009, Overweight and the Metabolic Syndrome in Adult Offspring of Women with Diet-Treated Gestational Diabetes Mellitus or Type 1 Diabetes, J. Clin. Endocrinol. Metab. sourceNot checked — no full text of the source
• cites [64] Boney, 2005, Metabolic Syndrome in Childhood: Association with Birth Weight, Maternal Obesity, and Gestational Diabetes Mellitus, Pediatrics sourceNot checked — no full text of the source
• cites [65] Gluckman, 2008, Effect of in Utero and Early-Life Conditions on Adult Health and Disease, N. Engl. J. Med. sourceCould not verify

  The Epidemiologic and Clinical Observations section links maternal diabetes to metabolic disorders in offspring and, separately, smaller birth size to later cardiovascular disease. It does not report a Yu Y. study or an association between gestational diabetes and cardiovascular disease in offspring aged 40 or younger. Searches for Yu Y., gestational diabetes, and the age-specific cardiovascular outcome found no passage addressing that claim. (LLM, conf=0.75)

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Maternal glucose elevation has inverse associations with offspring insulin sensitivity and HOMA indices at 14 years, persisting after adjustment for maternal BMI, offspring BMI, and familial diabetes predisposition.

“Conversely, maternal glucose elevation demonstrated inverse associations with offspring insulin sensitivity and homeostatic model assessment (HOMA) indices at 14 years, with these relationships persisting after statistical adjustment for maternal body mass index, offspring BMI, and familial diabetes predisposition.”

• cites [31] Sweeting, 2022, A Clinical Update on Gestational Diabetes Mellitus, Endocr. Rev. sourcePartly supported

  The “Long-term Risk in the Offspring” section reports inverse associations of maternal glucose with offspring insulin sensitivity and disposition index by age 14, independent of maternal and childhood BMI and family history of diabetes. The claim substitutes HOMA indices for disposition index; the cited passage does not report an inverse association with HOMA indices. (LLM, conf=0.90)

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• cites [32] Lowe, 2018, Association of Gestational Diabetes With Maternal Disorders of Glucose Metabolism and Childhood Adiposity, JAMA sourceCould not verify

  The Abstract and Secondary Outcomes sections report childhood adiposity outcomes, not offspring insulin sensitivity or HOMA indices. Searches for HOMA, insulin sensitivity, and the claimed adjustments found no passage reporting those associations; the Outcomes for Children section describes adjustments for adiposity analyses instead. The available passages have no page numbers. (LLM, conf=0.76)

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• cites [60] William, 2019, Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Gestational Diabetes Mellitus and Childhood Glucose Metabolism, Diabetes Care sourcePartly supported

  The Results section reports inverse associations of maternal gestational diabetes with offspring insulin sensitivity and the oral disposition index after adjustment for maternal BMI, child BMI and first-degree family history of diabetes. But the study measured Matsuda, insulinogenic and disposition indices—not HOMA indices—and the children’s mean age at follow-up was 11.4 years, not 14 (Methods, Outcomes and Predictors; Results, Participants). The insulinogenic-index association was not significant. (LLM, conf=0.91)

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• cites [61] Scholtens, 2019, Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism, Diabetes Care sourcePartly supported

  The Results (Associations Between Continuous Maternal Glycemia and Continuous Child Glucose Outcomes; page unavailable) report inverse associations with child insulin sensitivity that remained significant after BMI adjustment; the model notes include adjustment for first-degree family history of diabetes. However, the Calculations section identifies the indices as Matsuda, insulinogenic, and disposition—not HOMA—and the Methods describe children aged 10–14 years, not exclusively 14-year-olds. (LLM, conf=0.91)

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Maternal obesity impacts fetal brain volume.

“Recently, it has been highlighted that maternal obesity impacts fetal brain volume [71].”

• cites [71] Takeoka, 2025, Impact of High Maternal Body Mass Index on Fetal Cerebral Cortical and Cerebellar Volumes, J. Perinat. Med. sourceSupported

The relationship between maternal obesity and increased mortality rates for cardiovascular events, such as myocardial infarction, stroke, and peripheral artery disease, in offspring is well established.

“The relationship between maternal obesity and increased mortality rates for cardiovascular events, such as myocardial infarction, stroke, and peripheral artery disease, in offspring is well established [74].”

• cites [74] Hochner, 2012, Associations of Maternal Pre-Pregnancy Body Mass Index and Gestational Weight Gain with Adult Offspring Cardio-Metabolic Risk Factors: The Jerusalem Perinatal Family Follow-up Study, Circulation sourcePartly supported

  The Results associate higher maternal prepregnancy BMI with cardiometabolic risk factors in offspring at age 32. The Discussion (Implications) mentions myocardial infarction and stroke as potential downstream diseases but says whether the observed associations predict worse outcomes is unknown. The paper does not establish increased offspring mortality from cardiovascular events or report an association with peripheral artery disease. (LLM, conf=0.90)

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There is a positive relationship between maternal BMI and offspring cardiovascular risk.

“In conclusion, there is a positive relationship between maternal BMI and offspring cardiovascular risk [76,77,78].”

• cites [76] Reynolds, 2013, Maternal Obesity during Pregnancy and Premature Mortality from Cardiovascular Event in Adult Offspring: Follow-up of 1 323 275 Person Years, BMJ Online sourceSupported
• cites [77] Pearce, 2010, Is Childcare Associated with the Risk of Overweight and Obesity in the Early Years? Findings from the UK Millennium Cohort Study, Int. J. Obes. sourceNot checked — no full text of the source
• cites [78] Fraser, 2010, Association of Maternal Weight Gain in Pregnancy with Offspring Obesity and Metabolic and Vascular Traits in Childhood, Circulation sourceSupported

In male offspring of mo-HFD mothers, visceral adipose tissue showed hyperplasia and decreased hypertrophy of adipocytes compared to male offspring of control mothers and female offspring of mo-HFD mothers.

“Histological analysis of adipose tissue showed that in M-moHF VAT there is hyperplasia and a decrease in hypertrophy of adipocytes compared to M-moC and F-moHF;”

• cites [82] Savva, 2022, Maternal High-Fat Diet Programs White and Brown Adipose Tissue Lipidome and Transcriptome in Offspring in a Sex- and Tissue-Dependent Manner in Mice, Int. J. Obes. sourceSupported

In pregnancies complicated by obesity, the balance of pro-inflammatory and anti-inflammatory cytokines is shifted mainly towards a pro-inflammatory state.

“Pregnancy is normally an inflammatory state caused by the remodeling of immunological system to allow embryo implantation, growth and life, regulated by a delicate balance of pro-inflammatory and anti-inflammatory cytokines; in pregnancies complicated by obesity, this balance is shifted mainly towards a pro-inflammatory state.”

• cites [76] Reynolds, 2013, Maternal Obesity during Pregnancy and Premature Mortality from Cardiovascular Event in Adult Offspring: Follow-up of 1 323 275 Person Years, BMJ Online sourcePartly supported

  The Discussion section (‘Possible physiological mechanisms’; page unavailable) says pregnant overweight women have increased circulating concentrations of inflammatory cytokines. It does not distinguish pro-inflammatory from anti-inflammatory cytokines or establish that their balance shifts mainly toward a pro-inflammatory state in pregnancies complicated by obesity. (LLM, conf=0.85)

  Experimental — accuracy not yet measured
• cites [79] Challier, 2008, Obesity in Pregnancy Stimulates Macrophage Accumulation and Inflammation in the Placenta, Placenta sourcePartly supported

  The Results (section 2.1) report higher circulating IL-6 in obese than lean pregnant women, and the Discussion concludes that obesity exaggerates placental inflammation and production of pro-inflammatory mediators. The paper does not establish a shift in the balance between pro- and anti-inflammatory cytokines specifically; the evidence supports a more pro-inflammatory state, not that comparison. (LLM, conf=0.83)

  Experimental — accuracy not yet measured

Inadequate intake of essential micronutrients-including iron, folate, iodine, vitamin A, and vitamin D-can profoundly affect cellular processes such as DNA synthesis, epigenetic regulation, and organogenesis.

“While much focus has been placed on maternal overnutrition and gestational diabetes mellitus, inadequate intake of essential micronutrients—including iron, folate, iodine, vitamin A, and vitamin D—can profoundly affect cellular processes such as DNA synthesis, epigenetic regulation, and organogenesis [86,87,88].”

• cites [86] Peitl, 2020, Vitamin D and Neurotrophin Levels and Their Impact on the Symptoms of Schizophrenia, Neuropsychobiology sourceNot checked — no full text of the source
• cites [87] Ndanuko, 2021, Association between the Urinary Sodium to Potassium Ratio and Blood Pressure in Adults: A Systematic Review and Meta-Analysis, Adv. Nutr. sourceNot checked — no full text of the source
• cites [88] Liu, 2022, Prenatal Folic Acid Supplements and Offspring’s Autism Spectrum Disorder: A Meta-Analysis and Meta-Regression, J. Autism Dev. Disord. sourcePartly supported

  The Introduction (page unavailable) says folate is involved in DNA synthesis and methylation, and the Discussion (page unavailable) says fetal brain development is sensitive to nutritional deficiency. The paper does not establish the claimed cellular effects for iron, iodine, vitamins A and D, or address organogenesis. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

The literature shows heterogeneous findings regarding the association between gestational diabetes mellitus (GDM) and offspring obesity, particularly after adjustment for maternal pre-pregnancy BMI.

“We acknowledge that the literature shows heterogeneous findings regarding the association between gestational diabetes mellitus (GDM) and offspring obesity, particularly after adjustment for maternal pre-pregnancy BMI.”

• cites [84] Shi, 2020, Maternal gestational diabetes mellitus and offspring body mass index from 1 to 4 years, Endocr. Pract. sourceNot checked — no full text of the source
• cites [85] Deng, 2025, Association of Maternal Overweight and Gestational Diabetes Mellitus with Offspring Adiposity Trajectory: From Birth to Early Adolescence, Diabetologia sourceSupported

Female subjects seem to have greater protection against the adverse effects of lipo-toxicity caused by dysfunctional adipose tissue, probably through a differentiated expression of sex-dependent genes involved in adipogenesis.

“Moreover, it has been noted that female subjects seem to have greater protection against the adverse effects of lipo-toxicity caused by dysfunctional adipose tissue, probably through a differentiated expression of sex-dependent genes involved in adipogenesis (Figure 2) [58,82,83].”

• cites [58] Desai, 2013, Developmental Origins of Obesity: Programmed Adipogenesis, Curr. Diabetes Rep. sourceCould not verify

  The sections on Catch-up Growth and Fat Accrual and Effects of Increased Adipogenesis on DM in offspring discuss adipogenic genes and adverse metabolic effects of altered adipose tissue. They do not address whether females are more protected from lipotoxicity or whether sex-dependent gene expression explains such protection. Searches for female protection, sex differences, and lipotoxicity found no passage establishing that comparison. (LLM, conf=0.73)

  Experimental — accuracy not yet measured
• cites [82] Savva, 2022, Maternal High-Fat Diet Programs White and Brown Adipose Tissue Lipidome and Transcriptome in Offspring in a Sex- and Tissue-Dependent Manner in Mice, Int. J. Obes. sourcePartly supported

  The Discussion (page not provided) proposes a protective mechanism in female mouse offspring of obese mothers, compared with males, and describes sex-dependent expression of genes involved in adipogenesis. It says the precise mechanism remains unresolved. The claim extends those findings to female subjects generally and specifically to protection from lipotoxicity caused by dysfunctional adipose tissue, which the cited passages do not establish. (LLM, conf=0.84)

  Experimental — accuracy not yet measured
• cites [83] Nicholas, 2016, The Early Origins of Obesity and Insulin Resistance: Timing, Programming and Mechanisms, Int. J. Obes. sourceNot checked — no full text of the source

• AssumptionRests on an assumption: Findings from animal models (e.g., mouse, rat) about maternal diet and offspring metabolic outcomes can be generalized to humans.

The negative effect of maternal obesity on offspring health might be mediated by an alteration in the inflammatory state and an increase in oxidative stress due to excess adipose tissue.

“The negative effect of maternal obesity on offspring health might be mediated by an alteration in the inflammatory state and an increase in oxidative stress due to excess adipose tissue.”

• cites [76] Reynolds, 2013, Maternal Obesity during Pregnancy and Premature Mortality from Cardiovascular Event in Adult Offspring: Follow-up of 1 323 275 Person Years, BMJ Online sourcePartly supported

  The Discussion’s “Possible physiological mechanisms” section reports increased inflammatory cytokines in pregnant overweight women and discusses possible pathways linking maternal obesity to offspring cardiovascular risk. It does not mention increased oxidative stress or attribute that mechanism to excess adipose tissue, so those parts of the claim are unsupported. (LLM, conf=0.86)

  Experimental — accuracy not yet measured
• cites [79] Challier, 2008, Obesity in Pregnancy Stimulates Macrophage Accumulation and Inflammation in the Placenta, Placenta sourcePartly supported

  The Results (§2.1; page not provided) report elevated inflammatory markers in obese pregnant women, and the Discussion (§3; page not provided) speculates that the inflammatory environment may have detrimental consequences for the fetus. The paper does not identify increased oxidative stress from excess adipose tissue as a mediator of offspring harm; “oxidative stress” appears only in a reference title. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Sexually dimorphic differences in body composition are already present at birth.

“at birth, fat mass accounts for approximately 15% of neonatal body weight, and sexually dimorphic differences in body composition are already present.”

• cites [80] Alfaradhi, 2014, Oxidative Stress and Altered Lipid Homeostasis in the Programming of Offspring Fatty Liver by Maternal Obesity, Am. J. Physiol. Regul. Integr. Comp. Physiol. sourceCould not verify

  The Results (Offspring phenotype; page unavailable) report weight at postnatal day 3 and body composition in 8-week-old females. The Methods (Dual-energy X-ray absorptiometry measurement of body composition; page unavailable) confirm that body composition was measured at 8 weeks. Searches for sex differences and neonatal body composition found no passage addressing whether sexually dimorphic differences are present at birth. (LLM, conf=0.76)

  Experimental — accuracy not yet measured
• cites [81] Bruce, 2009, Maternal High-Fat Feeding Primes Steatohepatitis in Adult Mice Offspring, Involving Mitochondrial Dysfunction and Altered Lipogenesis Gene Expression, Hepatology sourceNot checked — no full text of the source

Reynolds et al. in 2015 found that supplementation with conjugated linoleic acid led to a reduction in expression of pro-inflammatory cytokines TNF-α and IL-1β and metabolic dysfunction in offspring.

“Evidence of a key role of inflammation in fetal programming was provided by Reynolds et al. in 2015, thanks to a study where supplementation with an anti-inflammatory molecule, the conjugated linoleic acid, led to a reduction in the expression of pro-inflammatory cytokines such as TNF-α and IL-1β and metabolic dysfunction in offspring [76,79].”

• cites [76] Reynolds, 2013, Maternal Obesity during Pregnancy and Premature Mortality from Cardiovascular Event in Adult Offspring: Follow-up of 1 323 275 Person Years, BMJ Online sourceCould not verify

  The Discussion’s ‘Possible physiological mechanisms’ section mentions inflammatory cytokines in pregnant women and possible effects of maternal obesity on offspring, but does not describe a supplementation study. Searches for conjugated linoleic acid, TNF-α, IL-1β, and supplementation found no passage reporting the claimed reductions in cytokine expression or metabolic dysfunction. (LLM, conf=0.77)

  Experimental — accuracy not yet measured
• cites [79] Challier, 2008, Obesity in Pregnancy Stimulates Macrophage Accumulation and Inflammation in the Placenta, Placenta sourceCould not verify

  The Results (§2.1; page unavailable) compare inflammatory markers in obese and lean pregnant women, and the Discussion (§3; page unavailable) describes placental TNF-alpha and IL-1 expression. Searches for conjugated linoleic acid, supplementation, Reynolds, and offspring metabolic dysfunction found no passage in our copy reporting the attributed intervention or its effects. (LLM, conf=0.78)

  Experimental — accuracy not yet measured

Prenatal exposure to maternal obesity can modulate offspring adipose tissue programming in a sex-dependent way.

“Savva C. et al. investigated how prenatal exposure to maternal obesity can modulate offspring adipose tissue programming in a sex-dependent way [82].”

• cites [82] Savva, 2022, Maternal High-Fat Diet Programs White and Brown Adipose Tissue Lipidome and Transcriptome in Offspring in a Sex- and Tissue-Dependent Manner in Mice, Int. J. Obes. sourceSupported

Female offspring of mo-HFD mothers showed a higher percentage of body fat compared to male offspring of mo-HFD mothers.

“Female offspring showed a higher percentage of body fat compared to M-moHF.”

• cites [82] Savva, 2022, Maternal High-Fat Diet Programs White and Brown Adipose Tissue Lipidome and Transcriptome in Offspring in a Sex- and Tissue-Dependent Manner in Mice, Int. J. Obes. sourcePartly supported

  The Results section (page unavailable) reports that females had more total fat than males at endterm, and the Fig. 1 caption identifies total fat as a percentage of body weight. The text does not explicitly establish that this difference holds specifically between female and male offspring of high-fat-diet mothers, nor does it report the difference at other time points. (LLM, conf=0.78)

  Experimental — accuracy not yet measured

An association between higher early-pregnancy ferritin concentrations and lower cord blood DNA methylation at three CpGs was found to be long-lasting, remaining partially evident in older children.

“Finally, an association between higher early-pregnancy ferritin concentrations and lower cord blood DNA methylation at three CpGs was found to be long-lasting, remaining partially evident in older children [107,108].”

• cites [107] Moore, 2014, Maternal Nutrition at Conception Modulates DNA Methylation of Human Metastable Epialleles, Nat. Commun. sourceCould not verify

  The Methods section on maternal blood biomarkers does not list ferritin, and the study-setting Methods section describes blood samples from infants aged 2–8 months, not cord blood or follow-up of older children. The Results discuss maternal nutritional biomarkers and infant methylation at metastable epialleles, but the searched passages do not address a ferritin association at three CpGs or its persistence. (LLM, conf=0.78)

  Experimental — accuracy not yet measured
• cites [108] Taeubert, 2022, Maternal Iron Status in Early Pregnancy and DNA Methylation in Offspring: An Epigenome-Wide Meta-Analysis, Clin. Epigenetics sourceSupported

Children of overweight or obese mothers with adequate folate plasma concentrations showed a 43% reduction in obesity risk.

“The children of overweight or obese mothers with adequate folate plasma concentrations showed a 43% reduction in obesity risk.”

• cites [114] Wang, 2016, Association between Maternal Prepregnancy Body Mass Index and Plasma Folate Concentrations with Child Metabolic Health, JAMA Pediatr. sourcePartly supported

  The Results section reports a 43% lower risk of child overweight or obesity (OWO) among children of obese mothers with adequate folate concentrations, compared with children of obese mothers with low folate concentrations (OR 0.57). The claim extends this finding to overweight mothers and describes the outcome as obesity alone; the cited result specifies obese mothers and the combined OWO outcome. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Both iodine deficiency and excess can result in long-term neurodevelopmental impairments and endocrine dysfunction through disrupted thyroid signaling and epigenetic mechanisms.

“Both iodine deficiency and excess can result in long-term neurodevelopmental impairments and endocrine dysfunction through disrupted thyroid signaling and epigenetic mechanisms [119,126,127].”

• cites [119] Lee, S.Y. (2021). Editorial: Consequences of Iodine Deficiency in Pregnancy. Front. Endocrinol., 12. sourcePartly supported

  The Introduction (page unavailable) links severe maternal iodine deficiency to offspring neurocognitive harm and explains that iodine is needed for thyroid hormone synthesis and normal brain development. It does not address harm from iodine excess, epigenetic mechanisms, or long-term endocrine dysfunction, so those parts of the claim are not supported by this source. (LLM, conf=0.88)

  Experimental — accuracy not yet measured
• cites [126] Li, 2024, The Relationship between Excessive Iodine during Pregnancy and Adverse Pregnancy Complications, Endocrine sourceNot checked — no full text of the source
• cites [127] Salgueiro, 2017, Maternal Exposure to Iodine Excess Throughout Pregnancy and Lactation Induces Hypothyroidism in Adult Male Rat Offspring, Sci. Rep. sourcePartly supported

  The Introduction says iodine deficiency harms maternal thyroid function and fetal development, while the Discussion reports that maternal iodine excess caused hypothyroidism in adult male rat offspring and suggests epigenetic repression of thyroid genes. The paper does not establish long-term neurodevelopmental impairment from both deficiency and excess, or an epigenetic mechanism for deficiency; its adult findings concern iodine excess in male rats. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

High body iron stores in early pregnancy are associated with an increased risk of developing GDM.

“Furthermore, research indicates that high body iron stores in early pregnancy are also associated with an increased risk of developing GDM [102].”

• cites [102] Singh, 2025, Association of Early Pregnancy Body Iron Stores with the Development of Gestational Diabetes Mellitus: A Hospital-Based Cohort Study, J. Fam. Med. Prim. Care sourceSupported

Vitamin D deficiency during pregnancy is linked to adverse outcomes not only at birth but also for long-term health of both mothers and their children.

“It is now widely recognized that vitamin D deficiency during pregnancy is linked to adverse outcomes not only at birth but also for long-term health of both mothers and their children.”

• cites [140] Wu, Y., Zeng, Y., Zhang, Q., and Xiao, X. (2023). The Role of Maternal Vitamin D Deficiency in Offspring Obesity: A Narrative Review. Nutrients, 15. sourcePartly supported

  Sections 2.3 and 2.5 link vitamin D deficiency during pregnancy to adverse birth outcomes and to health effects in offspring later in life. Section 2.7.2 discusses maternal metabolic syndrome, but its direct evidence that maternal vitamin D deficiency affects both mothers and offspring comes from a rat model. The review therefore does not clearly establish the claimed long-term health link for mothers as well as children. (LLM, conf=0.82)

  Experimental — accuracy not yet measured
• cites [141] Chien, 2024, Effects of Vitamin D in Pregnancy on Maternal and Offspring Health-Related Outcomes: An Umbrella Review of Systematic Review and Meta-Analyses, Nutr. Diabetes sourcePartly supported

  The Discussion’s Principal findings link vitamin D deficiency during pregnancy to adverse maternal and offspring outcomes, including pregnancy and birth outcomes. The Results section also reports associations with childhood developmental outcomes. However, the maternal outcomes reported concern pregnancy; the paper does not establish long-term health effects for mothers. (LLM, conf=0.87)

  Experimental — accuracy not yet measured
• cites [142] Mousa, 2017, Relationship between Vitamin D and Gestational Diabetes in Overweight or Obese Pregnant Women May Be Mediated by Adiponectin, Mol. Nutr. Food Res. sourceNot checked — no full text of the source

Current evidence suggests that vitamin D deficiency may act as a contributing factor that increases the risk of developing gestational diabetes.

“Current evidence suggests that vitamin D deficiency may act as a contributing factor that increases the risk of developing gestational diabetes.”

• cites [135] Dovnik, A., and Mujezinović, F. (2018). The Association of Vitamin D Levels with Common Pregnancy Complications. Nutrients, 10. sourceSupported
• cites [137] Grammatiki, 2019, The Role of Vitamin D in the Pathogenesis and Treatment of Diabetes Mellitus: A Narrative Review, Horm. Athens Greece sourceNot checked — no full text of the source
• cites [138] Zhang, C., Qiu, C., Hu, F.B., David, R.M., van Dam, R.M., Bralley, A., and Williams, M.A. (2008). Maternal Plasma 25-Hydroxyvitamin D Concentrations and the Risk for Gestational Diabetes Mellitus. PLoS ONE, 3. sourceSupported
• cites [139] Poel, 2012, Vitamin D and Gestational Diabetes: A Systematic Review and Meta-Analysis, Eur. J. Intern. Med. sourceNot checked — no full text of the source

Maternal malnutrition, whether undernutrition, overnutrition, or obesity, can induce persistent epigenetic modifications that alter gene expression without changing the DNA sequence.

“Maternal malnutrition (whether undernutrition, overnutrition, or obesity) can induce persistent epigenetic modifications that alter gene expression without changing the DNA sequence.”

• cites [157] Craig, 2017, Epigenetics and DOHaD: From Basics to Birth and Beyond, J. Dev. Orig. Health Dis. sourceNot checked — no full text of the source
• cites [158] Lee, 2015, Impact of Maternal Diet on the Epigenome during In Utero Life and the Developmental Programming of Diseases in Childhood and Adulthood, Nutrients sourceSupported
• cites [159] Kabaran, 2019, Maternal Obesity, Maternal Overnutrition and Fetal Programming: Effects of Epigenetic Mechanisms on the Development of Metabolic Disorders, Curr. Genom. sourcePartly supported

  The Introduction’s epigenetic-mechanisms section (page unavailable) says maternal nutrition may permanently affect fetal gene expression through epigenetic mechanisms, and that deficient or excess dietary methyl donors can alter epigenetic patterns. The copy also discusses maternal undernutrition, but does not clearly establish persistent epigenetic modifications from undernutrition generally. It describes DNA methylation, histone modifications and microRNAs, without explicitly stating that the DNA sequence remains unchanged. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

Together, DNA methylation, histone modifications, and miRNA regulation form the molecular basis of fetal programming, through which maternal nutritional imbalance can imprint lasting effects on gene regulation, metabolism, and disease vulnerability in later life.

“Together, these mechanisms form the molecular basis of fetal programming, through which maternal nutritional imbalance can imprint lasting effects on gene regulation, metabolism, and disease vulnerability in later life [157,158,159].”

• cites [157] Craig, 2017, Epigenetics and DOHaD: From Basics to Birth and Beyond, J. Dev. Orig. Health Dis. sourceNot checked — no full text of the source
• cites [158] Lee, 2015, Impact of Maternal Diet on the Epigenome during In Utero Life and the Developmental Programming of Diseases in Childhood and Adulthood, Nutrients sourceSupported
• cites [159] Kabaran, 2019, Maternal Obesity, Maternal Overnutrition and Fetal Programming: Effects of Epigenetic Mechanisms on the Development of Metabolic Disorders, Curr. Genom. sourceSupported

Methylation levels of both MC4R and LPL were negatively correlated with birth weight.

“Moreover, methylation levels of both genes were negatively correlated with birth weight”

• cites [163] Franzago, M., Borrelli, P., Di Nicola, M., Cavallo, P., D’Adamo, E., Di Tizio, L., Gazzolo, D., Stuppia, L., and Vitacolonna, E. (2024). From Mother to Child: Epigenetic Signatures of Hyperglycemia and Obesity during Pregnancy. Nutrients, 16. sourcePartly supported

  Section 5.2 reports a negative correlation between fetal-side MC4R methylation and birth weight. It reports a negative correlation between LPL methylation and birth length, not birth weight. Page numbers are not provided in the supplied copy. (LLM, conf=0.90)

  Experimental — accuracy not yet measured

Overall, maternal obesity and hyperglycemia during pregnancy can induce specific DNA methylation changes in MC4R and LPL, potentially shaping offspring susceptibility to metabolic disturbances later in life.

“Overall, the findings indicate that maternal obesity and hyperglycemia during pregnancy can induce specific DNA methylation changes in MC4R and LPL, potentially shaping offspring susceptibility to metabolic disturbances later in life [163,164].”

• cites [163] Franzago, M., Borrelli, P., Di Nicola, M., Cavallo, P., D’Adamo, E., Di Tizio, L., Gazzolo, D., Stuppia, L., and Vitacolonna, E. (2024). From Mother to Child: Epigenetic Signatures of Hyperglycemia and Obesity during Pregnancy. Nutrients, 16. sourceSupported
• cites [164] Houde, 2017, Placental Lipoprotein Lipase DNA Methylation Alterations Are Associated with Gestational Diabetes and Body Composition at 5 Years of Age, Epigenetics sourceNot checked — no full text of the source

Inadequate selenium status may amplify the adverse neurodevelopmental effects of iodine deficiency during pregnancy.

“inadequate selenium status may therefore amplify the adverse neurodevelopmental effects of iodine deficiency during pregnancy [119,156].”

• cites [119] Lee, S.Y. (2021). Editorial: Consequences of Iodine Deficiency in Pregnancy. Front. Endocrinol., 12. sourcePartly supported

  The Introduction (page not provided) links severe maternal iodine deficiency to adverse offspring neurocognitive development. It does not discuss selenium status or say that inadequate selenium amplifies those effects; a search for “selenium” found no relevant passage. (LLM, conf=0.85)

  Experimental — accuracy not yet measured
• cites [156] 2015, Selenium and the Thyroid, Curr. Opin. Endocrinol. Diabetes Obes. sourceNot checked — no full text of the source

In Franzago et al. (2024), gestational age at delivery was slightly lower among GDM and obese women.

“Results showed that gestational age at delivery was slightly lower among GDM and obese women”

• cites [163] Franzago, M., Borrelli, P., Di Nicola, M., Cavallo, P., D’Adamo, E., Di Tizio, L., Gazzolo, D., Stuppia, L., and Vitacolonna, E. (2024). From Mother to Child: Epigenetic Signatures of Hyperglycemia and Obesity during Pregnancy. Nutrients, 16. sourceSupported

Follow-up analyses in an independent cohort of adult offspring revealed a conserved bimodal methylation pattern of nc886 across blood, skeletal muscle, and subcutaneous adipose tissue, consistent with its epigenetic metastability.

“Follow-up analyses in an independent cohort of adult offspring (the Copenhagen Offspring Cohort) revealed a conserved bimodal methylation pattern of nc886 across blood, skeletal muscle, and subcutaneous adipose tissue, consistent with its epigenetic metastability.”

• cites [165] Hjort, 2024, Epigenetics of the Non-Coding RNA Nc886 across Blood, Adipose Tissue and Skeletal Muscle in Offspring Exposed to Diabetes in Pregnancy, Clin. Epigenetics sourceSupported

Hjort et al. (2024) identified a significant DMR encompassing the non-coding RNA nc886 (VTRNA2-1) locus in blood from children exposed to GDM compared with controls.

“identified a significant DMR encompassing the non-coding RNA nc886 (VTRNA2-1) locus”

• cites [165] Hjort, 2024, Epigenetics of the Non-Coding RNA Nc886 across Blood, Adipose Tissue and Skeletal Muscle in Offspring Exposed to Diabetes in Pregnancy, Clin. Epigenetics sourceSupported

Iodine and selenium are functionally linked in thyroid hormone metabolism, as selenium-dependent deiodinase enzymes regulate thyroid hormone activation and inactivation.

“Iodine and selenium are functionally linked in thyroid hormone metabolism, as selenium-dependent deiodinase enzymes regulate thyroid hormone activation and inactivation;”

• cites [119] Lee, S.Y. (2021). Editorial: Consequences of Iodine Deficiency in Pregnancy. Front. Endocrinol., 12. sourcePartly supported

  The Introduction states that iodine is essential for thyroid hormone synthesis. It does not discuss selenium, selenium-dependent deiodinases, or their role in activating and inactivating thyroid hormones (searched: selenium-dependent deiodinases; selenium, selenoproteins, activation and inactivation). (LLM, conf=0.82)

  Experimental — accuracy not yet measured
• cites [156] 2015, Selenium and the Thyroid, Curr. Opin. Endocrinol. Diabetes Obes. sourceNot checked — no full text of the source

Adults and children exposed to GDM displayed hypomethylation of the nc886 DMR compared with controls.

“Adults and children exposed to GDM displayed hypomethylation of the nc886 DMR compared with controls”

• cites [165] Hjort, 2024, Epigenetics of the Non-Coding RNA Nc886 across Blood, Adipose Tissue and Skeletal Muscle in Offspring Exposed to Diabetes in Pregnancy, Clin. Epigenetics sourcePartly supported

  The Discussion reports nc886 DMR hypomethylation in young offspring exposed to GDM compared with controls, but says this pattern was not replicated in the adult offspring cohort. Table 2 likewise shows no significant difference in methylation-group frequencies among adult offspring (p = 0.42). The claim is supported for children, not adults. (LLM, conf=0.92)

  Experimental — accuracy not yet measured

MC4R promoter methylation was reduced in newborns of GDM mothers.

“MC4R promoter methylation was reduced in newborns of GDM mothers”

• cites [163] Franzago, M., Borrelli, P., Di Nicola, M., Cavallo, P., D’Adamo, E., Di Tizio, L., Gazzolo, D., Stuppia, L., and Vitacolonna, E. (2024). From Mother to Child: Epigenetic Signatures of Hyperglycemia and Obesity during Pregnancy. Nutrients, 16. sourceSupported

Epigenetic modulation of MC4R and LPL pathways may influence fetal growth and metabolic programming.

“suggesting that epigenetic modulation of these pathways may influence fetal growth and metabolic programming [163].”

• cites [163] Franzago, M., Borrelli, P., Di Nicola, M., Cavallo, P., D’Adamo, E., Di Tizio, L., Gazzolo, D., Stuppia, L., and Vitacolonna, E. (2024). From Mother to Child: Epigenetic Signatures of Hyperglycemia and Obesity during Pregnancy. Nutrients, 16. sourceSupported

DNA methylation, mediated by DNA methyltransferases (DNMTs), typically represses gene transcription when occurring in promoter regions.

“DNA methylation, mediated by DNA methyltransferases (DNMTs), which typically repress gene transcription when occurring in promoter regions;”

• cites [157] Craig, 2017, Epigenetics and DOHaD: From Basics to Birth and Beyond, J. Dev. Orig. Health Dis. sourceNot checked — no full text of the source
• cites [158] Lee, 2015, Impact of Maternal Diet on the Epigenome during In Utero Life and the Developmental Programming of Diseases in Childhood and Adulthood, Nutrients sourceSupported
• cites [159] Kabaran, 2019, Maternal Obesity, Maternal Overnutrition and Fetal Programming: Effects of Epigenetic Mechanisms on the Development of Metabolic Disorders, Curr. Genom. sourcePartly supported

  The DNA Methylation section describes methylation as an epigenetic mechanism, and the discussion of maternal high-fat diets mentions DNMT1 expression and altered methylation in promoter regions. Neither passage states that DNMTs mediate DNA methylation or that promoter methylation typically represses transcription. The copy provides related context but not the claim’s defining mechanism and effect; page numbers are unavailable. (LLM, conf=0.82)

  Experimental — accuracy not yet measured

Placental LPL methylation was increased on the fetal side of obese placentas.

“while placental LPL methylation was increased on the fetal side of obese placentas.”

• cites [163] Franzago, M., Borrelli, P., Di Nicola, M., Cavallo, P., D’Adamo, E., Di Tizio, L., Gazzolo, D., Stuppia, L., and Vitacolonna, E. (2024). From Mother to Child: Epigenetic Signatures of Hyperglycemia and Obesity during Pregnancy. Nutrients, 16. sourceSupported

Parental health and diet, not only during pregnancy but also prior to conception, play a crucial role in shaping disease susceptibility across generations.

“The concept of transgenerational inheritance thus expands the traditional view of fetal programming, emphasizing that parental health and diet—not only during pregnancy but also prior to conception—play a crucial role in shaping disease susceptibility across generations [73,169,175,177,178,179].”

• cites [73] Eriksson, 2015, Maternal Weight in Pregnancy and Offspring Body Composition in Late Adulthood: Findings from the Helsinki Birth Cohort Study (HBCS), Ann. Med. sourceNot checked — no full text of the source
• cites [169] Roe, C., and May, L. (2015). Book Review: The Epigenetics Revolution. Front. Genet., 6. sourcePartly supported

  The review’s discussion of Chapter 6 (page not specified) says environmental events such as the Dutch famine affect offspring health outcomes. It does not specify parental health or diet before conception, nor establish effects across multiple generations; it also notes limits on the inheritance of epigenetic modifications. (LLM, conf=0.83)

  Experimental — accuracy not yet measured
• cites [175] Masuyama, 2015, The Effects of High-Fat Diet Exposure in Utero on the Obesogenic and Diabetogenic Traits through Epigenetic Changes in Adiponectin and Leptin Gene Expression for Multiple Generations in Female Mice, Endocrinology sourceNot checked — no full text of the source
• cites [177] Guo, T., Hu, Z., Bao, L., Cao, Y., Chu, Z., Wang, M., Li, Y., and Luo, F. (2025). Paternally Multi-Generational High-Fat Diet Causes Obesity and Metabolic Disorder through Intergenerational DNA Methylation. Front. Nutr., 12. sourceSupported
• cites [178] Ng, 2010, Chronic High-Fat Diet in Fathers Programs β 2-Cell Dysfunction in Female Rat Offspring, Nature sourceNot checked — no full text of the source
• cites [179] Haberman, 2024, Paternal High-Fat Diet Affects Weight and DNA Methylation of Their Offspring, Sci. Rep. sourcePartly supported

  The Introduction describes paternal diet and obesity before conception as possible routes of inherited obesity risk, distinct from maternal effects during pregnancy. The Discussion reports both maternal and paternal associations with offspring obesity, but this paper’s own experiment tests paternal high-fat diet in rats. It does not establish the broader claim about parental health and diet shaping disease susceptibility generally across generations. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

Methylation levels of nc886 were inversely correlated with nc886 RNA expression, particularly in adipose tissue.

“methylation levels were inversely correlated with nc886 RNA expression, particularly in adipose tissue.”

• cites [165] Hjort, 2024, Epigenetics of the Non-Coding RNA Nc886 across Blood, Adipose Tissue and Skeletal Muscle in Offspring Exposed to Diabetes in Pregnancy, Clin. Epigenetics sourceSupported

In a mouse model, males fed an HFD exhibited differential methylation at 24 CpG sites in the POMC promoter region of sperm DNA, with methylation levels correlating positively with body weight.

“Haberman et al. showed that males fed an HFD exhibited differential methylation at 24 CpG sites in the POMC promoter region of sperm DNA, with methylation levels correlating positively with body weight [179].”

• cites [179] Haberman, 2024, Paternal High-Fat Diet Affects Weight and DNA Methylation of Their Offspring, Sci. Rep. sourcePartly supported

  The Results passage on spermatozoa reports that 24 Pomc promoter CpG sites were analyzed, but significantly higher methylation in high-fat-fed males occurred at eight sites, not all 24. It also reports a positive correlation between methylation across the 24 sites and body weight. The animals were rats, not mice. (LLM, conf=0.93)

  Experimental — accuracy not yet measured

Analysis of metabolic biomarkers revealed a significant association between fasting insulin levels and epigenetic age acceleration.

“Furthermore, the analysis of metabolic biomarkers revealed a significant association between fasting insulin levels and epigenetic age acceleration”

• cites [166] Kanney, N., Patki, A., Chandler-Laney, P., Garvey, W.T., and Hidalgo, B.A. (2022). Epigenetic Age Acceleration in Mothers and Offspring 4–10 Years after a Pregnancy Complicated by Gestational Diabetes and Obesity. Metabolites, 12. sourceSupported

Emerging evidence indicates that paternal factors also contribute to fetal programming through epigenetic modifications in sperm.

“While much focus has been placed on maternal influences, emerging evidence indicates that paternal factors also contribute to fetal programming through epigenetic modifications in sperm [73,177].”

• cites [73] Eriksson, 2015, Maternal Weight in Pregnancy and Offspring Body Composition in Late Adulthood: Findings from the Helsinki Birth Cohort Study (HBCS), Ann. Med. sourceNot checked — no full text of the source
• cites [177] Guo, T., Hu, Z., Bao, L., Cao, Y., Chu, Z., Wang, M., Li, Y., and Luo, F. (2025). Paternally Multi-Generational High-Fat Diet Causes Obesity and Metabolic Disorder through Intergenerational DNA Methylation. Front. Nutr., 12. sourceSupported

The lack of long-term improvement in offspring metabolic outcomes suggests that interventions limited to pregnancy may be insufficient to counteract the epigenetic and metabolic consequences of maternal obesity.

“Overall, the lack of long-term improvement in offspring metabolic outcomes suggests that interventions limited to pregnancy may be insufficient to counteract the epigenetic and metabolic consequences of maternal obesity.”

• cites [180] Tanvig, 2015, Effects of Lifestyle Intervention in Pregnancy and Anthropometrics at Birth on Offspring Metabolic Profile at 2.8 Years: Results from the Lifestyle in Pregnancy and Offspring (LiPO) Study, J. Clin. Endocrinol. Metab. sourceNot checked — no full text of the source
• cites [181] Mogensen, 2025, Effect of a High-Protein and Low-Glycaemic Index Diet during Pregnancy in Women with Overweight or Obesity on Offspring Metabolic Health—A Randomized Controlled Trial, Pediatr. Obes. sourcePartly supported

  The Discussion (page not provided) reports no significant improvement in offspring BMI z-scores during the first five years and suggests that maternal health before conception or in early pregnancy may matter. This lends some support to the cautious inference about pregnancy-only interventions. However, the paper does not establish epigenetic consequences, and its conclusion says it is premature to infer long-term metabolic outcomes from the early findings. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Methylation changes in the POMC promoter persisted in the sperm of F1 males, confirming a transgenerational inheritance of paternal epigenetic marks.

“Importantly, methylation changes in the POMC promoter persisted in the sperm of F1 males, confirming a transgenerational inheritance of paternal epigenetic marks [179].”

• cites [179] Haberman, 2024, Paternal High-Fat Diet Affects Weight and DNA Methylation of Their Offspring, Sci. Rep. sourcePartly supported

  The Results (page not supplied) report Pomc-promoter hypermethylation in F0 males’ sperm and in the arcuate nucleus of their F1 offspring, not in F1 males’ sperm. The Discussion (page not supplied) describes transgenerational transmission of obesogenic traits as a possibility; these findings do not confirm persistence of paternal epigenetic marks in F1 sperm. (LLM, conf=0.88)

  Experimental — accuracy not yet measured

Children exposed to GDM in utero exhibited a stronger correlation between chronological and epigenetic age compared with controls, indicating accelerated biological aging.

“The authors observed that children exposed to GDM in utero exhibited a stronger correlation between chronological and epigenetic age compared with controls, indicating accelerated biological aging in this group.”

• cites [166] Kanney, N., Patki, A., Chandler-Laney, P., Garvey, W.T., and Hidalgo, B.A. (2022). Epigenetic Age Acceleration in Mothers and Offspring 4–10 Years after a Pregnancy Complicated by Gestational Diabetes and Obesity. Metabolites, 12. sourcePartly supported

  Results §3.2 reports stronger correlations between chronological and epigenetic age in GDM-exposed offspring than in controls for both clocks. But a stronger correlation does not establish accelerated aging: the Conclusions (§5; page not provided) state that the higher epigenetic age found in GDM mothers was not sustained in their offspring. (LLM, conf=0.90)

  Experimental — accuracy not yet measured

In Mogensen et al., no consistent differences emerged between HPLGI and MPMGI groups in anthropometric or metabolic parameters.

“No consistent differences emerged between groups in anthropometric or metabolic parameters”

• cites [181] Mogensen, 2025, Effect of a High-Protein and Low-Glycaemic Index Diet during Pregnancy in Women with Overweight or Obesity on Offspring Metabolic Health—A Randomized Controlled Trial, Pediatr. Obes. sourcePartly supported

  The Results (Offspring markers of adiposity) report no significant BMI z-score differences, supporting the anthropometric part, although some skinfold measures differed. The Discussion and Results (Offspring blood biomarkers) report significant differences in glucose and lipids at particular ages, so the blanket characterization of metabolic parameters as showing no consistent differences obscures those findings. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Both maternal and paternal nutritional environments before and during conception can profoundly influence offspring metabolic programming through heritable epigenetic mechanisms.

“Together, these findings demonstrate that both maternal and paternal nutritional environments before and during conception can profoundly influence offspring metabolic programming through heritable epigenetic mechanisms.”

• cites [73] Eriksson, 2015, Maternal Weight in Pregnancy and Offspring Body Composition in Late Adulthood: Findings from the Helsinki Birth Cohort Study (HBCS), Ann. Med. sourceNot checked — no full text of the source
• cites [169] Roe, C., and May, L. (2015). Book Review: The Epigenetics Revolution. Front. Genet., 6. sourcePartly supported

  In the book-review section (page not specified), the review discusses heritable epigenetic modifications and says the Dutch famine affected offspring health; it also mentions a correlation with obesity. It does not address both maternal and paternal nutritional environments, the timing before and during conception, or offspring metabolic programming specifically. (LLM, conf=0.86)

  Experimental — accuracy not yet measured
• cites [175] Masuyama, 2015, The Effects of High-Fat Diet Exposure in Utero on the Obesogenic and Diabetogenic Traits through Epigenetic Changes in Adiponectin and Leptin Gene Expression for Multiple Generations in Female Mice, Endocrinology sourceNot checked — no full text of the source
• cites [177] Guo, T., Hu, Z., Bao, L., Cao, Y., Chu, Z., Wang, M., Li, Y., and Luo, F. (2025). Paternally Multi-Generational High-Fat Diet Causes Obesity and Metabolic Disorder through Intergenerational DNA Methylation. Front. Nutr., 12. sourcePartly supported

  The Introduction and Discussion (pages unavailable) link parental high-fat diets to offspring metabolic changes and describe epigenetic inheritance as a possible mechanism. The paper studies paternal exposure, however, and explicitly says maternal-diet findings are confounded by direct exposure in utero; it does not demonstrate that both maternal and paternal effects are transmitted through heritable epigenetic mechanisms. (LLM, conf=0.84)

  Experimental — accuracy not yet measured
• cites [178] Ng, 2010, Chronic High-Fat Diet in Fathers Programs β 2-Cell Dysfunction in Female Rat Offspring, Nature sourceNot checked — no full text of the source
• cites [179] Haberman, 2024, Paternal High-Fat Diet Affects Weight and DNA Methylation of Their Offspring, Sci. Rep. sourcePartly supported

  The Introduction (page unavailable) reports offspring methylation changes after maternal high-fat feeding, and the Discussion (page unavailable) reports paternal transmission of obesity-related traits and methylation changes in sperm and offspring. But the Introduction says maternal transmission could reflect direct effects during development rather than inheritance through gametes, while the Discussion describes the paternal mechanism as a possibility. The source therefore does not demonstrate heritable epigenetic mechanisms for both parents as the claim states. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Results of studies investigating whether lifestyle and dietary interventions during gestation could mitigate adverse metabolic outcomes in offspring remain largely inconclusive.

“However, the results remain largely inconclusive [165].”

• cites [165] Hjort, 2024, Epigenetics of the Non-Coding RNA Nc886 across Blood, Adipose Tissue and Skeletal Muscle in Offspring Exposed to Diabetes in Pregnancy, Clin. Epigenetics sourcePartly supported

  The Discussion (page unavailable) says previous studies found lifestyle changes during pregnancy “not very effective,” which supports uncertainty about the benefit of gestational interventions. It does not establish that studies of lifestyle and dietary interventions found largely inconclusive results specifically for offspring metabolic outcomes; its examples chiefly concern maternal weight, fertility, and birth outcomes. (LLM, conf=0.78)

  Experimental — accuracy not yet measured

Maternal BMI before pregnancy is a stronger determinant of offspring metabolic risk than gestational lifestyle changes alone.

“Instead, both studies underscore the critical importance of preconception health optimization, emphasizing that maternal BMI before pregnancy is a stronger determinant of offspring metabolic risk than gestational lifestyle changes alone [180,181].”

• cites [180] Tanvig, 2015, Effects of Lifestyle Intervention in Pregnancy and Anthropometrics at Birth on Offspring Metabolic Profile at 2.8 Years: Results from the Lifestyle in Pregnancy and Offspring (LiPO) Study, J. Clin. Endocrinol. Metab. sourceNot checked — no full text of the source
• cites [181] Mogensen, 2025, Effect of a High-Protein and Low-Glycaemic Index Diet during Pregnancy in Women with Overweight or Obesity on Offspring Metabolic Health—A Randomized Controlled Trial, Pediatr. Obes. sourcePartly supported

  The Discussion says pre-pregnancy BMI appears to increase offspring overweight or obesity risk more than gestational weight gain, and notes that pregnancy dietary interventions may not affect obesity during the first five years. It does not establish that pre-pregnancy BMI is a stronger determinant of offspring metabolic risk broadly than gestational lifestyle changes; the trial also suggests its pregnancy diet intervention may affect offspring metabolic health. No page number is available in our copy. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Lifestyle interventions during pregnancy show limited long-term benefits.

“Although lifestyle interventions during pregnancy have been tested, they show limited long-term benefits”

Maternal psychosocial stress, environmental pollutants, and endocrine-disrupting chemicals can interact synergistically with nutritional factors to modulate epigenetic programming and metabolic outcomes.

“Maternal psychosocial stress, environmental pollutants, and endocrine-disrupting chemicals can interact synergistically with nutritional factors to modulate epigenetic programming and metabolic outcomes.”

• cites [5] Chun, 2020, Maternal Exposure to Air Pollution and Risk of Autism in Children: A Systematic Review and Meta-Analysis, Environ. Pollut. sourceNot checked — no full text of the source

The intrauterine environment acts as a crucial interface between maternal physiology and fetal development, influencing cellular differentiation, organogenesis, and metabolic programming.

“According to this paradigm, the intrauterine environment acts as a crucial interface between maternal physiology and fetal development, influencing cellular differentiation, organogenesis, and metabolic programming.”

• cites [1] Barker, D. (1998). Mothers, Babies and Health in Later Life, Churchill Livingstone. sourceNot checked — no full text of the source
• cites [2] Gluckman, P., and Hanson, M. (2004). The Fetal Matrix: Evolution, Development and Disease, Cambridge University Press. sourceNot checked — no full text of the source

Pre-pregnancy BMI remains the strongest predictor of offspring obesity.

“whereas pre-pregnancy BMI remains the strongest predictor of offspring obesity”

Inadequate maternal intake of essential micronutrients is associated with increased risks of IUGR, neurodevelopmental impairment, and long-term metabolic dysfunction in the offspring.

“Inadequate maternal intake of essential micronutrients—including folate, iron, iodine, zinc, and vitamin D—has been associated with increased risks of intrauterine growth restriction (IUGR), neurodevelopmental impairment, and long-term metabolic dysfunction in the offspring [8,9].”

• cites [8] Black, 2013, Maternal and Child Undernutrition and Overweight in Low-Income and Middle-Income Countries, Lancet sourceNot checked — no full text of the source
• cites [9] King, 2000, Physiology of Pregnancy and Nutrient Metabolism, Am. J. Clin. Nutr. sourceNot checked — no full text of the source

Maternal nutrition during pregnancy critically influences fetal programming, shaping the offspring's lifelong health and disease susceptibility.

“Maternal nutrition during pregnancy critically influences fetal programming, shaping the offspring’s lifelong health and disease susceptibility.”

• cites [1] Barker, D. (1998). Mothers, Babies and Health in Later Life, Churchill Livingstone. sourceNot checked — no full text of the source
• cites [2] Gluckman, P., and Hanson, M. (2004). The Fetal Matrix: Evolution, Development and Disease, Cambridge University Press. sourceNot checked — no full text of the source

The risk of GDM is 6.5 times higher in pregnancies complicated by obesity, hypertension, and preeclampsia than in normal-weight pregnancies.

“For the mother, obesity is a risk factor for GDM: the risk of GDM is 6.5 times higher in pregnancies complicated by obesity, hypertension, and preeclampsia than in normal-weight pregnancies.”

• cites [25] Corrales, 2021, Obesity and Pregnancy, the Perfect Metabolic Storm, Eur. J. Clin. Nutr. sourceNot checked — no full text of the source
• cites [26] Poston, 2016, Preconceptional and Maternal Obesity: Epidemiology and Health Consequences, Lancet Diabetes Endocrinol. sourceNot checked — no full text of the source

The maternal malnutrition spectrum represents a critical determinant of developmental and metabolic programming.

“Thus, the maternal malnutrition spectrum represents a critical determinant of developmental and metabolic programming.”

Sirtuins SIRT1 and SIRT3 play key roles in fetal programming by controlling oxidative metabolism, autophagy, and mitochondrial function.

“Furthermore, sirtuins (SIRT1 and SIRT3) play key roles in fetal programming by controlling oxidative metabolism, autophagy, and mitochondrial function.”

• cites [54] Nguyen, 2016, Sirtuins-Mediators of Maternal Obesity-Induced Complications in Offspring?, FASEB J. sourceNot checked — no full text of the source

Genetic susceptibility to GDM includes single-nucleotide polymorphisms in genes such as TCF7L2, MTNR1B, and ADIPOQ that modulate maternal glucose metabolism and insulin sensitivity.

“Genetic susceptibility to GDM, including single-nucleotide polymorphisms (SNPs) in genes such as TCF7L2, MTNR1B, and ADIPOQ, further modulates maternal glucose metabolism and insulin sensitivity.”

• cites [23] Freemark, 2010, Placental Hormones and the Control of Fetal Growth, J. Clin. Endocrinol. Metab. sourceNot checked — no full text of the source
• cites [25] Corrales, 2021, Obesity and Pregnancy, the Perfect Metabolic Storm, Eur. J. Clin. Nutr. sourceNot checked — no full text of the source
• cites [26] Poston, 2016, Preconceptional and Maternal Obesity: Epidemiology and Health Consequences, Lancet Diabetes Endocrinol. sourceNot checked — no full text of the source

In utero exposure to hyperglycemia affects neuronal circuits involved in the regulation of hunger and satiety.

“suggesting that in utero exposure to hyperglycemia affects neuronal circuits involved in the regulation of hunger and satiety.”

• cites [66] Steculorum, 2011, Maternal Diabetes Compromises the Organization of Hypothalamic Feeding Circuits and Impairs Leptin Sensitivity in Offspring, Endocrinology sourceNot checked — no full text of the source

Maternal obesity leads to negative long-term outcomes in metabolism and functionality of adipose tissue more than post-natal exposure to an obesogenic diet, exacerbating the negative effects of excessive fat storage and dysfunction of adipose tissue.

“This study highlights how maternal obesity leads to negative long-term outcomes in metabolism and functionality of adipose tissue more than post-natal exposure to an obesogenic diet, exacerbating the negative effects of excessive fat storage and dysfunction of adipose tissue.”

• AssumptionRests on an assumption: Findings from animal models (e.g., mouse, rat) about maternal diet and offspring metabolic outcomes can be generalized to humans.

The divergent findings on GDM and offspring obesity may reflect differences in outcome definitions, timing of follow-up, population characteristics, and methods of covariate adjustment.

“These divergent findings may reflect differences in outcome definitions (e.g., BMI z-score vs. skinfold thickness), timing of follow-up, population characteristics (e.g., genetic background, diet, postnatal environment), and methods of covariate adjustment.”

Several recent cohort studies indicate that the association between GDM and increased BMI or risk of overweight in early childhood is attenuated or even null after adjustment for maternal pre-pregnancy BMI, indicating potential confounding effects attributable to maternal adiposity.

“Several recent cohort studies indicate that the association between GDM and increased BMI or risk of overweight in early childhood is attenuated or even null after adjustment for maternal pre-pregnancy BMI, indicating potential confounding effects attributable to maternal adiposity [84].”

• cites [84] Shi, 2020, Maternal gestational diabetes mellitus and offspring body mass index from 1 to 4 years, Endocr. Pract. sourceNot checked — no full text of the source

The evidence suggests that maternal metabolic status-including GDM and overweight/obesity-contributes to offspring adiposity risk through complex and potentially interacting biological and environmental mechanisms.

“Taken together, the evidence suggests that maternal metabolic status—including GDM and overweight/obesity—contributes to offspring adiposity risk through complex and potentially interacting biological and environmental mechanisms.”

Inadequate levels of folic acid in early pregnancy increase the risk of congenital deformities such as neural tube defects (NTDs) and spina bifida due to alterations in cell division and gene expression.

“Inadequate levels of folic acid in early pregnancy increase the risk of congenital deformities such as neural tube defects (NTDs) and spina bifida due to alterations in cell division and gene expression.”

• cites [111] 2015, Effects and Safety of Periconceptional Oral Folate Supplementation for Preventing Birth Defects, Cochrane Database Syst. Rev.Not checked yet

  Not checked in the free run.

• cites [112] Kancherla, 2023, Neural Tube Defects: A Review of Global Prevalence, Causes, and Primary Prevention, Childs Nerv. Syst. sourceNot checked — no full text of the source

Placental ferroptosis is a key mechanism linking iron overload to severe complications such as preeclampsia and GDM.

“Specifically, Park et al. identified placental ferroptosis as a key mechanism linking iron overload to severe complications such as preeclampsia and GDM [101].”

• cites [101] Park, 2025, Placental Hypoxia-Induced Ferroptosis Drives Vascular Damage in Preeclampsia, Circ. Res. sourceNot checked — no full text of the source

Hyperglycemia in pregnancy, even when not associated with maternal obesity, seems to be one of the most significant factors in the determination of fetal programming.

“Hyperglycemia in pregnancy, even when not associated with maternal obesity, seems to be one of the most significant factors in the determination of fetal programming.”

Maternal micronutrient status is not determined solely by individual nutrient intake, but also by complex nutrient-nutrient interactions that influence absorption, bioavailability, metabolism, and biological efficacy.

“Maternal micronutrient status is not determined solely by individual nutrient intake, but also by complex nutrient–nutrient interactions that influence absorption, bioavailability, metabolism, and biological efficacy.”

• cites [154] Hallberg, 1989, The Role of Vitamin C in Iron Absorption, Int. J. Vitam. Nutr. Res. Suppl. Int.Not checked — no full text of the source

DNA methylation levels of PPARGC1α, a key gene involved in glucose and fat metabolism that codes for PGC1α, were increased.

“Furthermore, DNA methylation levels of the key gene PPARGC1α, involved in glucose and fat metabolism that codes for the protein PGC1α, were increased [161,162].”

• cites [161] Morais, 2025, Relationship between Maternal Obesity, Birth Weight, and Fetal Adiponectin/Leptin Ratio: A Potential Early Biomarker of Cardiometabolic Risk, Am. J. Physiol. Endocrinol. Metab. sourceNot checked — no full text of the source
• cites [162] Prudente, 2023, Epigenetic modifications and gestational diabetes mellitus, J. AMD sourceNot checked — no full text of the source

Of the 13 GDM-related CpG sites, 9 were previously related to metabolic and cardiovascular diseases such as type II diabetes, obesity, diabetic nephropathy, or coronary heart disease.

“of which 9 were previously related to metabolic and cardiovascular diseases such as type II diabetes (T2D), obesity, diabetic nephropathy or coronary heart disease;”

• cites [160] Hjort, 2018, Gestational Diabetes and Maternal Obesity Are Associated with Epigenome-Wide Methylation Changes in Children, JCI Insight sourceNot checked — no full text of the source

These epigenetic changes may explain the increased risk of obesity, insulin resistance, and type 2 diabetes observed in offspring exposed to adverse intrauterine environments, such as maternal obesity or GDM.

“These changes may explain the increased risk of obesity, insulin resistance, and type 2 diabetes observed in offspring exposed to adverse intrauterine environments, such as maternal obesity or GDM.”

20 CpG sites were associated with pre-pregnancy maternal obesity independently of GDM.

“moreover, 20 CpG sites were associated with pre-pregnancy maternal obesity independently of GDM [160].”

• cites [160] Hjort, 2018, Gestational Diabetes and Maternal Obesity Are Associated with Epigenome-Wide Methylation Changes in Children, JCI Insight sourceNot checked — no full text of the source

After adjustment for maternal pre-pregnancy BMI, 13 CpG sites were identified as closely related to GDM.

“After adjustment for maternal pre-pregnancy BMI, 13 of these sites were identified as closely related to GDM”

• cites [160] Hjort, 2018, Gestational Diabetes and Maternal Obesity Are Associated with Epigenome-Wide Methylation Changes in Children, JCI Insight sourceNot checked — no full text of the source

Increased nc886 expression in adipose tissue suggests links with adverse cardiometabolic phenotypes.

“suggesting links with adverse cardiometabolic phenotypes.”

In mice, exposure to a high-fat diet during pregnancy induces epigenetic alterations in genes encoding leptin and adiponectin.

“Masuyama et al. demonstrated in mice that exposure to a high-fat diet (HFD) during pregnancy induces epigenetic alterations in genes encoding the adipokines leptin and adiponectin, key regulators of energy balance and insulin sensitivity.”

• cites [175] Masuyama, 2015, The Effects of High-Fat Diet Exposure in Utero on the Obesogenic and Diabetogenic Traits through Epigenetic Changes in Adiponectin and Leptin Gene Expression for Multiple Generations in Female Mice, Endocrinology sourceNot checked — no full text of the source

In Tanvig et al., other metabolic markers including BMI, fasting glucose, insulin, and lipid profile were not affected.

“Other metabolic markers, including BMI, fasting glucose, insulin, and lipid profile, were not affected [180].”

• cites [180] Tanvig, 2015, Effects of Lifestyle Intervention in Pregnancy and Anthropometrics at Birth on Offspring Metabolic Profile at 2.8 Years: Results from the Lifestyle in Pregnancy and Offspring (LiPO) Study, J. Clin. Endocrinol. Metab. sourceNot checked — no full text of the source

This suggests a paternal transmission of metabolic risk independent of maternal environment.

“This suggested a paternal transmission of metabolic risk independent of maternal environment [178].”

• cites [178] Ng, 2010, Chronic High-Fat Diet in Fathers Programs β 2-Cell Dysfunction in Female Rat Offspring, Nature sourceNot checked — no full text of the source

Parental nutrition, encompassing both maternal and paternal contributions, profoundly influences offspring health through metabolic and epigenetic pathways.

“Parental nutrition, encompassing both maternal and paternal contributions, profoundly influences offspring health through metabolic and epigenetic pathways.”

Nutritional imbalances in both parents can induce heritable changes in gene expression governing energy balance and metabolism, perpetuating disease susceptibility.

“Nutritional imbalances in both parents can induce heritable changes in gene expression governing energy balance and metabolism, perpetuating disease susceptibility.”