Evidence map›Paper›PMID 42516090›Full record

ReviewAdipocyte2026

Role of adiponectin in gestational diabetes mellitus: advances in mechanistic insights and early predictive potential.

Yuting Chen, Feiming He, Lili Zhang, Zhongying Zhang

Abstract readReview
In one paragraph

Review in Adipocyte, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Yuting ChenMedical Laboratory Center, Xiamen Humanity Hospital, Xiamen, China.
Feiming HeMedical Laboratory Center, Xiamen Humanity Hospital, Xiamen, China.
Lili ZhangMedical Laboratory Center, Xiamen Humanity Hospital, Xiamen, China.
Zhongying ZhangMedical Laboratory Center, Xiamen Humanity Hospital, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is a common metabolic complication of pregnancy and is associated with an increased risk of short-term adverse maternal and neonatal outcomes, as well as long-term metabolic disorders in both mothers and offspring. Exacerbated insulin resistance and inadequate compensatory pancreatic β-cell function constitute the core pathophysiological basis of GDM. Adiponectin is an insulin-sensitizing adipokine that plays important roles in glucose and lipid metabolism, inflammatory regulation, and energy homoeostasis. Changes in maternal circulating adiponectin levels during pregnancy are closely associated with reduced insulin sensitivity and increased risk of GDM. This review systematically summarizes the roles of adiponectin and its distinct isoforms, particularly high-molecular-weight adiponectin, in GDM development, metabolic regulation, and early risk assessment. We also integrate potential interactions between adiponectin and placental hormones, nutrient transport, local inflammation, oxidative stress, and exosome-related mechanisms. In addition, this review discusses the key issues related to adiponectin measurement standardization, gestational timing of blood sampling, population heterogeneity, combined prediction models, and their integration into the oral glucose tolerance test (OGTT). The current findings support adiponectin as a candidate biomarker for early GDM risk stratification and combined prediction models; however, adiponectin cannot replace OGTT as a diagnostic criterion.

Indexed as

AdiponectinDiabetes, GestationalAnimalsBiomarkersFemaleHumansInsulin ResistancePregnancyAdiponectinBiomarkersadiponectinearly predictionGestational diabetes mellitushigh-molecular-weight adiponectininsulin resistance

Identifiers

PMID42516090
PMCPMC13418717

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.