Evidence map›Paper›PMID 29617296›Full record

ArticleInternational journal of molecular sciences2018

Macrophage Populations in Visceral Adipose Tissue from Pregnant Women: Potential Role of Obesity in Maternal Inflammation.

Eyerahi Bravo-Flores, Ismael Mancilla-Herrera, Salvador Espino Y Sosa, Marco Ortiz-Ramirez, Verónica Flores-Rueda, Francisco Ibargüengoitia-Ochoa, Carlos A Ibañez, Elena Zambrano, Mario Solis-Paredes, Otilia Perichart-Perera and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 2 institutions in 1 country.

Eyerahi Bravo-FloresDepartment of Immunobiochemistry, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. bravofloreseyerahi@gmail.com.ORCID 0000-0002-6443-7864
Ismael Mancilla-HerreraDepartment of Infectology and Immunology, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. mahi_25803@yahoo.com.mx.
Salvador Espino Y SosaClinical Research Branch, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. salvadorespino@gmail.com.
Marco Ortiz-RamirezDepartment of Obstetrics, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. maribel71sm@gmail.com.
Verónica Flores-RuedaDepartment of Obstetrics, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. dianameedinab@gmail.com.
Francisco Ibargüengoitia-OchoaDepartment of Obstetrics, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. drajosefinalira@yahoo.com.mx.
Carlos A IbañezDepartment of Reproductive Biology, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, 14080 Mexico City, Mexico. carlosalbertoibc@gmail.com.
Elena ZambranoDepartment of Reproductive Biology, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, 14080 Mexico City, Mexico. zamgon@unam.mx.
Mario Solis-ParedesDepartment of Human Genetics and Genomics, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. juan.mario.sp@gmail.com.
Otilia Perichart-PereraDepartment of Nutrition and Bioprogramming, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. oti_perichart@yahoo.com.
Maribel Sanchez-MartinezDepartment of Immunobiochemistry, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. maribel71sm@gmail.com.
Diana Medina-BastidasDepartment of Immunobiochemistry, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. marco.ortiz@inper.gob.mx.
Enrique Reyes-MuñozEndocrinology Division, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. dr.enriquereyes@gmail.com.
Guadalupe Estrada-GutierrezResearch Division, Instituto Nacional de Perinatologia, 11000 Mexico City, Mexico. gpestrad@gmail.com.
Instituto Nacional de Perinatología · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is associated with inflammatory changes and accumulation and phenotype polarization of adipose tissue macrophages (ATMs). Obese pregnant women have alterations in adipose tissue composition, but a detailed description of macrophage population is not available. In this study, we characterized macrophage populations in visceral adipose tissue (VAT) from pregnant women with normal, overweight, and obese pregestational weight. Immunophenotyping of macrophages from VAT biopsies was performed by flow cytometry using CD45 and CD14 as markers of hematopoietic and monocyte linage, respectively, while HLA-DR, CD11c, CD163, and CD206 were used as pro- and anti-inflammatory markers. Adipocyte number and size were evaluated by light microscopy. The results show that pregnant women that were overweight and obese during the pregestational period had adipocyte hypertrophy. Two different macrophage populations in VAT were identified: recruited macrophages (CD45⁺CD14⁺), and a novel population lacking CD45, which was considered to be a resident macrophages subset (CD45

Indexed as

AdipocytesAdultBiomarkersBody Mass IndexChemotaxis, LeukocyteCross-Sectional StudiesFemaleHumansHypertrophyImmunophenotypingInflammationIntra-Abdominal FatMacrophage ActivationMacrophagesObesityPregnancyBiomarkersinflammationobesitypregnancyrecruited macrophageresident macrophagevisceral adipose tissue

Identifiers

PMID29617296
PMCPMC5979476
OpenAlexW2795594273

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.