Evidence map›Paper›PMID 28369345›Full record

ArticleInternational journal of epidemiology2017

Obesity-induced hypoadiponectinaemia: the opposite influences of central and peripheral fat compartments.

M C Borges, I O Oliveira, D F Freitas, B L Horta, K K Ong, D P Gigante, A J D Barros

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 40 citations in OpenAlex.

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  9. Liver transplant recipients have worse metabolic body phenotype compared with matched non-transplant controls.JGH open : an open access journal of gastroenterology and hepatology · 2024
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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

7 authors at 2 institutions in 2 countries.

M C BorgesPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
I O OliveiraPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
D F FreitasPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
B L HortaPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
K K OngMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, UK.
D P GigantePost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
A J D BarrosPost-Graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Universidade Federal de Pelotas · BRMedical Research Council · GB

Funding

Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/2Wellcome Trust
6 · The paper itself

Abstract

Background and Aims: The substantial reduction in adiponectin concentration among obese individuals seems to depend on fat distribution and is a marker of metabolic and adipose tissue dysfunction. We aimed to: (i) address whether abdominal fat from different compartments (visceral, deep subcutaneous abdominal and superficial subcutaneous abdominal) and gluteofemoral fat are independently associated with blood adiponectin concentration; and (ii) investigate whether abdominal (proxied by waist circumference) and gluteofemoral fat (proxied by hip circumference) accumulation causally determine blood adiponectin concentration. Methods: To investigate the independent association of abdominal and gluteofemoral fat with adiponectin concentration, we used multivariable regression and data from 30-year-old adults from the 1982 Pelotas Birth Cohort (n = 2,743). To assess the causal role of abdominal and gluteofemoral fat accumulation on adiponectin concentration, we used Mendelian randomization and data from two consortia of genome-wide association studies-the GIANT (n > 210 000) and ADIPOGen consortia (n = 29 347). Results: In the multivariable regression analysis, all abdominal fat depots were negatively associated with adiponectin concentration, specially visceral abdominal fat [men: β = -0.24 standard unit of log adiponectin per standard unit increase in abdominal fat; 95% confidence interval (CI) = -0.31, -0.18; P = 8*10-13; women: β = -0.31; 95% CI = -0.36, -0.25; P = 7*10-27), whereas gluteofemoral fat was positively associated with adiponectin concentration (men: β = 0.13 standard unit of log adiponectin per standard unit increase in gluteofemoral fat; 95% CI = 0.03, 0.22; P = 0.008; women: β = 0.24; 95% CI = 0.17, 0.31; P = 7*10-11). In the Mendelian randomization analysis, genetically-predicted waist circumference was inversely related to blood adiponectin concentration (β = -0.27 standard unit of log adiponectin per standard unit increase in waist circumference; 95% CI = -0.36, -0.19; P = 2*10-11), whereas genetically-predicted hip circumference was positively associated with blood adiponectin concentration (β = 0.17 standard unit of log adiponectin per standard unit increase in hip circumference; 95% CI = 0.11, 0.24; P = 1*10-7). Conclusions: These results support the hypotheses that there is a complex interplay between body fat distribution and circulating adiponectin concentration, and that whereas obesity-induced hypoadiponectinaemia seems to be primarily attributed to abdominal fat accumulation, gluteofemoral fat accumulation is likely to exert a protective effect.

Indexed as

Intra-Abdominal FatAdiponectinAdiposityAdultBiomarkersBody Mass IndexBrazilFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMetabolism, Inborn ErrorsMultivariate AnalysisObesityRegression AnalysisAdiponectinBiomarkersabdominal fatadipokinesAdiponectinadipositybody fat distributionMendelian randomizationsubcutaneous fat

Identifiers

PMID28369345
PMCPMC5837355
OpenAlexW2587824778

What OpenQuestion holds

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LicenceCC BY
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.