Diabetes mellitus during pregnancy and increased risk of schizophrenia in offspring: a review of the evidence and putative mechanisms
Bibliographic record
Abstract
OBJECTIVE: To identify converging themes from the neurodevelopmental hypothesis of schizophrenia and the pathophysiology of diabetic pregnancy and to examine mechanisms by which diabetes mellitus in a pregnant mother may increase the risk of schizophrenia in offspring. METHODS: We reviewed relevant publications on clinical, epidemiologic and animal studies of diabetic pregnancy and the neurodevelopmental aspects of schizophrenia. RESULTS: Epidemiologic studies have shown that the offspring of mothers who experienced diabetes mellitus during their pregnancies are 7 times more likely to develop schizophrenia, compared with those who were not exposed to diabetic pregnancy. Maternal hyperglycemia during pregnancy could predispose to schizophrenia in adult life through at least 3 prenatal mechanisms: hypoxia, oxidative stress and increased inflammation. Hyperglycemia increases oxidative stress, alters lipid metabolism, affects mitochondrial structure, causes derangements in neural cell processes and neuronal architecture and results in premature specialization before neural tube closure. The molecular mechanisms underlying these processes include the generation of excess oxyradicals and lipid peroxide intermediates as well as reductions in levels of polyunsaturated fatty acids that are known to cause increased dopaminergic and lowered gamma-aminobutyric acidergic activity. The combination of hyperglycemia and hypoxia in pregnancy also leads to altered immune function including increased tumour necrosis factor-alpha, C-reactive protein and upregulation of other proinflammatory cytokines. Finally, maternal hyperglycemia could have a lasting impact on fetal cellular physiology, resulting in increased vulnerability to stress and predisposition to schizophrenia via a mechanism known as programming. These prenatal events can also result in obstetric complications such as fetal growth abnormalities and increased susceptibility to prenatal infection, all of which are associated with a spectrum of neurodevelopmental anomalies and an enhanced risk of schizophrenia. CONCLUSION: On the basis of the evidence presented and taking into consideration the projected increases in the rates of diabetes mellitus among younger women of child-bearing potential, it is imperative that the neurodevelopmental sequelae of diabetic pregnancy in general, and the increased risk for schizophrenia in particular, receive further study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".