Evidence map›Paper›PMID 30403751›Full record

ArticlePloS one2018

The sex specific effect of alcohol consumption on circulating levels of CTRP3.

Ashley R DeGroat, Christina K Fleming, Samantha M Dunlay, Kendra L Hagood, Jonathan P Moorman, Jonathan M Peterson

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Ashley R DeGroatDepartment of Biomedical Sciences, East Tennessee State University, Johnson City, Tennessee, United States of America.
Christina K FlemingDepartment of Health Sciences, College of Public Health, East Tennessee State University, Johnson City, Tennessee, United States of America.
Samantha M DunlayDepartment of Health Sciences, College of Public Health, East Tennessee State University, Johnson City, Tennessee, United States of America.
Kendra L HagoodDepartment of Biomedical Sciences, East Tennessee State University, Johnson City, Tennessee, United States of America.
Jonathan P MoormanCenter of Excellence in Inflammation, Infectious Disease and Immunity, James H Quillen College of Medicine, East Tennessee State University, Johnson City, Tennessee, United States of America.
Jonathan M PetersonDepartment of Biomedical Sciences, East Tennessee State University, Johnson City, Tennessee, United States of America.ORCID 0000-0002-9873-3880

Funding

Liver-Adipose tissue crosstalk in NAFLD: Role of the Novel Adipokine CTRP3R15DK114740 · NIDDK · EAST TENNESSEE STATE UNIVERSITY · PI CLARK, WILLIAM ANDREW · 2018 to 2018
$444k
The novel adipokine, CTRP3, as an inhibitor of Alcoholic Fatty Liver DiseaseR03AA023612 · NIAAA · EAST TENNESSEE STATE UNIVERSITY · PI PETERSON, JONATHAN M · 2015 to 2016
$146k
NIAAA NIH HHS R03 AA023612NIDDK NIH HHS R15 DK114740
6 · The paper itself

Abstract

The goal of this project was to establish the effect of alcohol consumption on the circulating levels of the adipose tissue derived protein C1q TNF Related Protein 3 (CTRP3). Adipose tissue secretes several adipokines, such as adiponectin and leptin, which exert a multitude of biological effects important for human health. However, adipose tissue is extremely sensitive to alcohol consumption, leading not only to disrupted fat storage, but also to disruptions in adipokine production. Changes to adipokine secretion could have widespread biological effects and potentially contribute to alcohol-induced ailments, such as alcoholic fatty liver disease (ALD). CTRP3 has been previously demonstrated to attenuate fatty liver disease, and suppression of CTRP3 with alcohol consumption could contribute to development of and progression to alcoholic fatty liver disease. To examine the effect of ethanol consumption on circulating adipokine levels, male and female mice were fed an ethanol containing diet (Lieber-DeCarli 5% (v/v) ethanol diet) for 10-days followed by a single gavage of 5 g/kg ethanol (the NIAAA model), or for 6-weeks with no binge added (chronic model). In female mice, adiponectin levels increased ~2-fold in both models of ethanol feeding, but in male mice increased adiponectin levels were only observed after chronic ethanol feeding. On the other hand, in female mice, circulating CTRP3 levels decreased by ~75% and ~50% in the NIAAA and chronic model, respectively, with no changes observed in the male mice in either feeding model. Leptin levels were unchanged with ethanol feeding regardless of model or sex of mice. Lastly, chronic ethanol feeding led to a significant increase in mortality (~50%) in female mice, with no difference in relative ethanol consumption. These findings indicate that ethanol consumption can dysregulate adipokine secretion, but that the effects vary by sex of animal, method of ethanol consumption, and adipokine examined. These findings also indicate that female mice are more sensitive to the chronic effects of ethanol than male mice. Notably, this is the first study to document the effects of ethanol consumption on the circulating levels of CTRP3. Understanding the impact of excessive alcohol consumption on adipokine production and secretion could identify novel mechanisms of alcohol-induced human disease. However, the mechanism responsible for the increased sensitivity remains elusive.

Indexed as

AdipokinesAdiponectinAlcoholismAnimalsCytokinesDietDisease Models, AnimalEthanolFatty Liver, AlcoholicFemaleMaleMiceMice, Inbred C57BLSex FactorsSurvival RateTransaminasesAdipokinesAdiponectinCORS26 protein, mouseCytokinesEthanolTransaminases

Identifiers

PMID30403751
PMCPMC6221322

What OpenQuestion holds

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Registered trials

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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.