Abnormal peripheral cellular immune profiles in gestational diabetes mellitus: A meta-analysis
Bibliographic record
Abstract
BACKGROUND: Gestational diabetes mellitus (GDM) has recently been associated with abnormal profiles of inflammatory cells and cytokines, though the findings remain inconsistent and unclear. AIM: To elucidate the peripheral immune status in GDM. METHODS: We systematically screened databases including Web of Science, PubMed, and EMBASE for eligible studies. Original articles reporting different immune cell levels in GDM compared to normal glucose-tolerance pregnant women were included to extract usable data. The pooled mean difference (MD) with 95% confidence interval (CI) was analyzed as the outcome measure. The Newcastle-Ottawa scale was employed to assess study quality. RESULTS: A total of 19 studies involving various immune cell subgroups were included in our analysis. Specifically, total CD4+ T cells (WMD = 3.08; 95%CI: 0.81-5.35) were significantly increased in GDM groups. In contrast, total lymphocytes (SMD = 0.05; 95%CI: -0.16 to 0.26), CD3+ T cells (SMD = -0.34; 95%CI: -1.01 to 0.32), CD8+ T cells (SMD = 0.21; 95%CI: -0.31 to 0.73), and natural killer T (NKT) Cells (SMD = 0.83; 95%CI: -1.10 to 2.75) showed no significant changes in GDM. Activation markers (HLA-DR+ or CD69+) on CD4+ T cells (WMD = 0.20; 95%CI: 0.06-0.34) were increased in GDM patients. Treg cells, a classical subgroup of CD4+ T cells, showed a decreasing trend in GDM compared to controls (SMD = -0.83; 95%CI: -1.31 to -0.34). These results indicate an abnormal immune status in the peripheral profiles of GDM. CONCLUSION: GDM may not only be a dysglycemia-related condition but also an immune disorder characterized by abnormal peripheral immune profiles, including higher levels of CD4+ T cells and a reduced population of Treg cells. Treating immune dysregulation could be a new direction for GDM management, although further research is needed to understand the precise mechanisms of immune overactivation in GDM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.044 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".