Evidence map›Paper›PMID 38092957›Full record

ArticleInternational journal of obesity (2005)2024

Neonatal adiposity is associated with microRNAs in adipocyte-derived extracellular vesicles in maternal and cord blood, a discovery analysis.

Pooja Kunte, Matthew Barberio, Pradeep Tiwari, Krishna Sukla, Brennan Harmon, Samuel Epstein, Dattatray Bhat, Kayla Authelet, Madeleine Goldberg, Sudha Rao and 3 more

Abstract read
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In one paragraph

Article in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 3 countries.

Pooja Kunte *Diabetes Unit, KEM Hospital Research Centre, Pune, India.
Matthew Barberio *Department of Exercise and Nutrition Sciences, The Milken Institute School of Public Health, George Washington University, Washington, D.C, USA.
Pradeep TiwariDiabetes Unit, KEM Hospital Research Centre, Pune, India.
Krishna SuklaDiabetes Unit, KEM Hospital Research Centre, Pune, India.ORCID 0000-0002-6419-0355
Brennan HarmonCenter for Genetic Medicine Research, Children's National Hospital, Washington, D.C., USA.
Samuel EpsteinCenter for Genetic Medicine Research, Children's National Hospital, Washington, D.C., USA.
Dattatray BhatDiabetes Unit, KEM Hospital Research Centre, Pune, India.
Kayla AutheletCenter for Genetic Medicine Research, Children's National Hospital, Washington, D.C., USA.
Madeleine GoldbergCenter for Genetic Medicine Research, Children's National Hospital, Washington, D.C., USA.ORCID 0000-0003-4794-5100
Sudha RaoGenotypic Technology Pvt. Ltd., Bangalore, India.
Hemant DamleS K Navle hospital, Pune, India.
Robert J FreishtatCenter for Genetic Medicine Research, Children's National Hospital, Washington, D.C., USA. rfreishtat@uncommoncures.com.
Chittaranjan YajnikDiabetes Unit, KEM Hospital Research Centre, Pune, India. csyajnik@gmail.com.ORCID 0000-0002-2911-2378
Children's National · USDiabetes Care and Research Foundation · INEmory University · USMilken Institute · USTata Consultancy Services (India) · INWestern Sydney University · AU

Funding

Maternal Adipocyte-Derived Exosomes in the Thin-Fat Indian Baby ParadoxR21TW011045 · FIC · CHILDREN'S RESEARCH INSTITUTE · PI FREISHTAT, ROBERT J, YAJNIK, CHITTARANJAN SAKERLAL · 2018 to 2019
$392k
FIC NIH HHS R21 TW011045
6 · The paper itself

Abstract

backgroundMaternal body size, nutrition, and hyperglycemia contribute to neonatal body size and composition. There is little information on maternal-fetal transmission of messages which influence fetal growth. We analyzed adipocyte-derived small extracellular vesicular (ADsEV) microRNAs in maternal and cord blood to explore their adipogenic potential.

methodsThere were 279 mother-neonate pairs with all phenotypic data (normal glucose tolerant NGT = 148, gestational diabetes mellitus GDM = 131). Neonates with adiposity were those in the highest tertile (T3) of sex-specific sum of skinfolds and those without adiposity (lean) in the lowest tertile T1 of NGT pregnancies. We studied ADsEV miRNAs in 76 and 51 neonates with and without adiposity respectively and their mothers based on power calculations (68 NGT and 59 GDM pregnancies). ADsEV miRNAs from maternal and cord blood plasma samples were profiled on Agilent 8*60 K microarray. Differential expression (DE) of ADsEV miRNAs in adipose vs. lean groups was studied before and after adjustment for maternal GDM, adiposity, and vitamin B12-folate status.

resultsMultiple miRNAs were common in maternal and cord blood and positively correlated. We identified 24 maternal and 5 cord blood miRNAs differentially expressed (discovery p ≤ 0.1) in the adipose group in unadjusted, and 19 and 26, respectively, in the adjusted analyses. Even though DE miRNAs were different in maternal and cord blood, they targeted similar adipogenic pathways (e.g., the forkhead box O (FOXO) family of transcription factors, mitogen‑activated protein kinase (MAPK) pathway, transforming growth factor beta (TGF-β) pathway). Maternal GDM and adiposity were associated with many DE ADsEV miRNAs.

conclusionOur results suggest that the ADsEV miRNAs in mothers are potential regulators of fetal adiposity. The expression and functionality of miRNAs appear to be influenced by maternal adiposity, hyperglycemia, and micronutrient status during pregnancy.

Indexed as

Diabetes, GestationalHyperglycemiaMicroRNAsAdiposityBody Mass IndexFemaleFetal BloodHumansInfant, NewbornMaleObesityPregnancyMicroRNAs

Identifiers

PMID38092957
OpenAlexW4389670784

What OpenQuestion holds

Textmetadata
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.