MIR-29A, MIR-222 AND MIR-132 IN THE BLOOD PLASMA OF PREGNANT WOMEN AS PREDICTORS OF GESTATIONAL DIABETES.

The wide variability in the expression levels of miR-29a, miR-222 and miR-132 suggests that they may serve as useful predictive biomarkers for evaluating diabetes risk in hyperglycemic pregnant women. Further studies involving longitudinal follow-up of hyperglycaemic pregnant women are needed to determine the predictive value of these microRNAs.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-12-01
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MIR-29A, MIR-222 AND MIR-132 IN THE BLOOD PLASMA OF PREGNANT WOMEN AS PREDICTORS OF GESTATIONAL DIABETES.

Mikheil Jangavadze, M Khubua, Z Bedinasvili, L Lachashvili
PubMed
Gestational Diabetes Research and Management
article

MIR-29A, MIR-222 AND MIR-132 IN THE BLOOD PLASMA OF PREGNANT WOMEN AS PREDICTORS OF GESTATIONAL DIABETES.

Mikheil Jangavadze, M Khubua, Z Bedinasvili, L Lachashvili
article en

Abstract

The wide variability in the expression levels of miR-29a, miR-222 and miR-132 suggests that they may serve as useful predictive biomarkers for evaluating diabetes risk in hyperglycemic pregnant women. Further studies involving longitudinal follow-up of hyperglycaemic pregnant women are needed to determine the predictive value of these microRNAs.

PubMed(369)
Tbilisi State University (GE)
Good health and well-being
Openalex Percentile: Top 21%
Gestational Diabetes Research and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.