Evidence map›Paper›PMID 30020508›Full record

ArticleThe Journal of clinical endocrinology and metabolism2018

Adipose Tissue Inflammation and Adrenomedullin Overexpression Contribute to Lipid Dysregulation in Diabetic Pregnancies.

Yuanlin Dong, Madhu Chauhan, Ancizar Betancourt, Michael Belfort, Chandra Yallampalli

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  6. Review
  7. New Insights into Adipokines in Gestational Diabetes Mellitus.International journal of molecular sciences · 2022
    Review
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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

5 authors at 2 institutions in 1 country.

Yuanlin DongDepartment of Obstetrics and Gynecology, Baylor College of Medicine/Texas Children's Hospital, Houston, Texas.
Madhu ChauhanDepartment of Obstetrics and Gynecology, Baylor College of Medicine/Texas Children's Hospital, Houston, Texas.
Ancizar BetancourtDepartment of Obstetrics and Gynecology, Baylor College of Medicine/Texas Children's Hospital, Houston, Texas.
Michael BelfortDepartment of Obstetrics and Gynecology, Baylor College of Medicine/Texas Children's Hospital, Houston, Texas.
Chandra YallampalliDepartment of Obstetrics and Gynecology, Baylor College of Medicine/Texas Children's Hospital, Houston, Texas.
Texas Children's Hospital · USBaylor College of Medicine · US

Funding

SEX STEROID HORMONES AND CALCITONIN GENE RELATED PEPTIDER01HL058144 · NHLBI · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI CHAUHAN, MADHU LATA S., YALLAMPALLI, CHANDRASEKHAR · 1998 to 2022
$6.9M
Molecular and Vascular MRI of Placenta AccretaR01HD094347 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI ANNAPRAGADA, ANANTH V, FOX, KARIN ANNELIESE · 2018 to 2022
$2.2M
Mechanisms for Sex Differences in Metabolic ProgrammingR01DK114689 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI BLESSON, CHELLAKKAN SELVANESAN, YALLAMPALLI, CHANDRASEKHAR · 2018 to 2021
$1.6M
Developmental programming: influence of sex steroids and mechanismsR01HL102866 · NHLBI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI YALLAMPALLI, CHANDRASEKHAR · 2011 to 2014
$1.5M
Adrenomedullin, Diabetes and PregnancyR21HD091503 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI YALLAMPALLI, CHANDRASEKHAR · 2018 to 2019
$436k
NHLBI NIH HHS R01 HL058144NHLBI NIH HHS R01 HL102866NICHD NIH HHS R01 HD094347NICHD NIH HHS R21 HD091503NIDDK NIH HHS R01 DK114689
6 · The paper itself

Abstract

Context: Impaired maternal lipid metabolism in gestational diabetes mellitus (GDM) has detrimental effects on maternal health and fetal growth. We previously reported the excessive expression of adrenomedullin (ADM) and its receptors in GDM adipose tissues compared with normal glucose-tolerant pregnancies. In the present study, we determined the mechanisms underlying enhanced expression of ADM and its receptors. Design: Omental adipose tissue (OAT) samples were collected from women during cesarian section of term pregnancy with nonoverweight (NOW; n = 9), overweight (OW; n = 8), obese (OBS; n = 10), and GDM (n = 10) status. Results: The expression of ADM and its receptors was greater in OATs from GDM than from women who were NOW, OW, and OBS. The expression of adipokines, leptin, and resistin were significantly increased, but adiponectin was decreased in OATs from patients with GDM compared with those without GDM. Macrophage infiltration and TNF-α expression were greater in OAT from pregnant women with GDM than in pregnant women without GDM. Furthermore, TNF-α dose dependently increased mRNA for ADM and its receptor components calcitonin receptor-like receptor and receptor activity-modifying proteins 2 and 3 in OAT explants from women who were NOW. Human adipocytes treated with ADM significantly increased glycerol release in culture medium, and the increases of glycerol in culture medium of OAT from women with GDM were attenuated by ADM antagonists, ADM22-52. Conclusions: Increased macrophage infiltration and TNF-α expression in adipose tissue from GDM, but not from OBS, tissues stimulate ADM and its receptor overexpression, leading to enhanced lipolysis and hyperlipidemia. This might contribute to fetal macrosomia and adiposity in diabetic pregnancies.

Indexed as

Adipose TissueAdrenomedullinAdultDiabetes, GestationalDyslipidemiasFemaleFetal MacrosomiaFollow-Up StudiesHumansInflammationLipidsLipolysisOmentumPregnancyPregnancy ComplicationsPrenatal Exposure Delayed EffectsADM protein, humanAdrenomedullinLipids

Identifiers

PMID30020508
PMCPMC6456971
OpenAlexW2884237901

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.