Evidence map›Paper›PMID 41177129›Full record

ArticlePlacenta2025

Discovery of placental microRNAs associated with maternal insulin sensitivity during pregnancy.

Sana Majid, Imad Soukar, Frédérique White, Catherine Allard, François Aguet, Kristin G Ardlie, Jose C Florez, Andrea G Edlow, Pierre-Étienne Jacques, S Ananth Karumanchi and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Placenta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Sana MajidDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA; Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Sacramento, CA, USA.
Imad SoukarWoman, Mother + Baby Research Institute, Tufts Medicine, Boston, MA, USA.
Frédérique WhiteDépartement de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada.
Catherine AllardCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, J1H 5N3, Canada.
François AguetBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Kristin G ArdlieBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Jose C FlorezBroad Institute of MIT and Harvard, Cambridge, MA, USA; Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Andrea G EdlowDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA.
Pierre-Étienne JacquesDépartement de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada; Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, J1H 5N3, Canada; Institut de Recherche sur le Cancer de l'Université de Sherbrooke (IRCUS), Sherbrooke, QC, Canada.
S Ananth KarumanchiDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Luigi BouchardCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, J1H 5N3, Canada; Department of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, QC, Canada; Department of Medical Biology, CIUSSS of Saguenay-Lac-Saint-Jean, Saguenay, QC, Canada.
Perrie F O'Tierney-GinnWoman, Mother + Baby Research Institute, Tufts Medicine, Boston, MA, USA.
Camille E PoweBroad Institute of MIT and Harvard, Cambridge, MA, USA; Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Obstetrics and Gynecology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA.
Marie-France HivertDepartment of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA; Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, J1H 5N3, Canada; Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. Electronic address: MHIVERT@mgb.org.

Funding

Impact of insulin-like growth factors and binding proteins on gestational diabetes and fetal growthR01HD094150 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Marie-France Hivert, Camille Elise Powe · 2018 to 2026
$4.2M
Placental miRNAs paracrine and endocrine roles in insulin sensitivity in pregnancyR01HD109206 · NICHD · TUFTS MEDICAL CENTER · PI Marie-France Hivert, Perrie F O'Tierney-Ginn · 2022 to 2026
$2.3M
Elucidating Determinants of Gestational Beta-Cell Adaptation and FailureK23DK113218 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI POWE, CAMILLE ELISE · 2017 to 2021
$1.0M
Mentoring Investigators on the Clinical Translation of Cardiometabolic Genetic DiscoveriesK24HL157960 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS · 2021 to 2025
$626k
NHLBI NIH HHS K24 HL157960NICHD NIH HHS R01 HD094150NICHD NIH HHS R01 HD109206NIDDK NIH HHS K23 DK113218
6 · The paper itself

Abstract

contextDuring pregnancy, maternal insulin sensitivity decreases, supporting transfer of nutrients to the fetus; when excessive, this can lead to gestational diabetes mellitus. The physiological decline in insulin sensitivity is likely caused by placental factors; however, the identity of these placental factors remains unclear.

objectiveTo identify placental microRNAs (miRNAs) associated with maternal insulin sensitivity during pregnancy.

designA prospective pregnancy cohort study called Genetics of Glucose regulation in Gestation and Growth. We assessed insulin sensitivity using the Matsuda index during the second trimester of pregnancy, and microtranscriptome expression in placental samples collected at delivery. We accounted for confounders including maternal age, fetal sex, gestational age at delivery, gravidity and maternal body mass index, and surrogate variables, capturing sampling and technical variability.

settingCentre Hospitalier Universitaire de Sherbrooke, Canada.

participantsA total of 434 pregnancies were included. The mean (SD) maternal age was 28.6 (4.4) years; Matsuda index, 7.7 (4.9); and gestational age at delivery, 39.4 (1.4) weeks. MAIN OUTCOME MEASURE(S): Placental miRNAs expression (n = 952 miRNAs).

resultsWe identified 18 placental miRNAs negatively and 1 miRNA positively correlated with Matsuda index (FDR p < 0.05). Gene ontology and tissue expression analysis of the genes targeted by the identified placental miRNAs suggest they may influence metabolic regulation, potentially acting as endocrine factors in skeletal muscle and adipose tissue and as paracrine factors within the placenta.

conclusionsWe identified placental miRNAs that may act as endocrine and paracrine factors to modulate maternal insulin sensitivity during pregnancy.

Indexed as

Insulin ResistanceMicroRNAsPlacentaAdultFemaleHumansPregnancyProspective StudiesMicroRNAsInsulin sensitivityMicroRNAsPlacentaPregnancyTranscriptomics

Identifiers

PMID41177129
PMCPMC12875663

What OpenQuestion 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 OpenQuestion graph.