Evidence map›Paper›PMID 33722154›Full record

ArticleAdipocyte2021

Dysfunctional adiposity index as a marker of adipose tissue morpho-functional abnormalities and metabolic disorders in apparently healthy subjects.

Juan Reyes-Barrera, Victor H Sainz-Escárrega, Aida X Medina-Urritia, Esteban Jorge-Galarza, Horacio Osorio-Alonso, Margarita Torres-Tamayo, Gabriela Leal-Escobar, Carlos Posadas-Romero, Ivan Torre-Villalvazo, Juan G Juárez-Rojas

Open access · goldAbstract read
In one paragraph

Article in Adipocyte, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

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  20. Determination of cardiovascular risk in Spanish veterinarians using different scaling methods.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
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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

10 authors at 2 institutions in 1 country.

Juan Reyes-BarreraDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.
Victor H Sainz-EscárregaDepartment of Cardiothoracic Surgery, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.ORCID 0000-0002-0611-9745
Aida X Medina-UrritiaDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.ORCID 0000-0003-1934-5095
Esteban Jorge-GalarzaDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.
Horacio Osorio-AlonsoDepartment of Cardio-Renal Physiopathology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.ORCID 0000-0002-9238-4202
Margarita Torres-TamayoDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.
Gabriela Leal-EscobarDepartment of Nephrology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.
Carlos Posadas-RomeroDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.
Ivan Torre-VillalvazoDepartment of Nutrition Physiology, Instituto Nacional De Ciencias Médicas Y Nutrición Salvador Zubirán, Mexico City, México.ORCID 0000-0001-7412-1153
Juan G Juárez-RojasDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, México.ORCID 0000-0001-8864-2304
Instituto Nacional de Cardiología · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared to body mass index, waist circumference (WC), and adiposity measurements, adipose tissue (AT) morpho-functionality evaluations are better predictors of cardiometabolic abnormalities (CA). The present study establishes a dysfunctional adiposity index (DAI) as an early marker of CA based on adipocytes morpho-functional abnormalities. DAI was established in 340 subjects without cardiovascular risk factors selected from a cross-sectional study (n=1600). Then, DAI was calculated in 36 healthy subjects who underwent subcutaneous AT biopsy. The correlation of DAI with adipocyte morphology (size/number) and functionality (adiponectin/leptin ratio) was analyzed. The DAI cut-off point was identified and its independent association with CA was determined in 1418 subjects from the cross-sectional study. The constant parameters to calculate the DAI were [WC/[22.79+[2.68*BMI]]]*[triglycerides (TG, mmol/L)/1.37]*[1.19/high density lipoprotein-cholesterol (HDL-C, mmol/L)] for males, and [WC/[24.02+[2.37*BMI]]]*[TG(mmol/L)/1.32]*[1.43/HDL-C(mmol/L)] for females. DAI correlated with adipocytes mean area, adipocyte number and adiponectin/leptin ratio. DAI ≥1.065 was independently associated with diabetes, non-alcoholic fatty liver disease, subclinical atherosclerosis, and hypertension. The present study highlights that DAI is associated with early CA independently of adiposity and other risk factors. Since DAI is obtained using accessible parameters, it can be easily incorporated into clinical practice for early identification of AT abnormalities in apparently healthy subjects.

Indexed as

AdiposityAdipose TissueAdultAgedBiomarkersBody Mass IndexCardiovascular DiseasesFemaleHealthy VolunteersHumansMaleMetabolic DiseasesMiddle AgedBiomarkersAdipose tissuecardiometabolic abnormalitiesDysfunctional adiposity index

Identifiers

PMID33722154
PMCPMC7971216
OpenAlexW3136865892

What OpenQuestion holds

Textmetadata
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.