Evidence map›Paper›PMID 40745216›Full record

Observational studyJournal of diabetes2025

Non-Traditional Lipid Parameters and Risk of Adverse Pregnancy Outcomes in Gestational Diabetes Mellitus: Mediation by Maternal Metabolites.

Jing-Yi Guo, Dan-Dan Yan, Wei Chen, Su-Na Wang, Yan-Wei Zheng, Wei-Tuo Zhang, Cheng Hu, Ming-Juan Luo, Xiang-Tian Yu

Abstract readObservational Study
In one paragraph

Observational study in Journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jing-Yi GuoClinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-9514-7157
Dan-Dan YanDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China.
Wei ChenClinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Su-Na WangClinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan-Wei ZhengDepartment of Gynecology and Obstetrics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei-Tuo ZhangClinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Cheng HuShanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Centre for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0003-4314-2386
Ming-Juan LuoDepartment of Endocrinology and Metabolism, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Xiang-Tian YuClinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

Clinical Research Plan of SHDC SHDC2022CRS044 and SHDC2023CRS029Interdisciplinary Program of Shanghai Jiao Tong University YG2019QNA21National Key R&D Program of China 2022YFA1004800Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Basic Scientific Research ynhg202126Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Basic Scientific Research ynms202118
6 · The paper itself

Abstract

aimsTo examine the association between non-traditional lipid parameters and adverse pregnancy outcomes (APOs) in women with gestational diabetes mellitus (GDM) and the mediating role of maternal serum metabolites during pregnancy. MATERIALS AND

methodsThis prospective observational study enrolled 399 women with GDM. Multivariate logistic regression was used to examine the association between non-traditional lipid parameters and APOs risk. Additionally, we assessed the mediating role of single and composite maternal serum metabolites during pregnancy using causal mediation analysis and high-dimensional mediation analysis, respectively.

resultsAPOs were observed in 12.0% (N = 48) of participants. Seven non-traditional lipid parameters, except for the RC/HDL-C ratio, were associated with APOs risk, with the highest estimate for the atherogenic index of plasma (AIP) (OR = 3.873, 95% CI: 1.079-13.934, p = 0.037) after adjusting for confounders. Maternal metabolic markers mediated these associations, with mediation effect proportions of 21.9%-39.4%. Seven key metabolic markers were identified as potential mediators primarily involved in the biosynthesis of the unsaturated fatty acids pathway. Gene set variation analysis revealed significant differences in the positive regulation of this pathway between the APO and normal pregnancy outcome groups (p = 0.015).

conclusionsNon-traditional lipid parameters were positively associated with APOs risk in women with GDM. Maternal serum metabolites, predominantly involved in the biosynthesis of unsaturated fatty acids, contribute to these associations.

Indexed as

BiomarkersDiabetes, GestationalLipidsPregnancy OutcomeAdultFemaleHumansPregnancyProspective StudiesRisk FactorsBiomarkersLipidsadverse pregnancy outcomesgestational diabetes mellitusmediationmetabolomicsnon‐traditional lipid parameters

Identifiers

PMID40745216
PMCPMC12313429

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.