Evidence map›Paper›PMID 24978196›Full record

ArticlePloS one2014

Serum sCD163 levels are associated with type 2 diabetes mellitus and are influenced by coffee and wine consumption: results of the Di@bet.es study.

Gemma Rojo-Martínez, Elsa Maymó-Masip, M Mar Rodríguez, Esther Solano, Albert Goday, Federico Soriguer, Sergio Valdés, Felipe Javier Chaves, Elías Delgado, Natalia Colomo and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Observational
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

13 authors at 8 institutions in 1 country.

Gemma Rojo-MartínezUGCI de Endocrinología y Nutrición, Instituto de Biomedicina de Málaga (IBIMA), Hospital Regional Universitario, Málaga, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain.
Elsa Maymó-MasipCentro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain; Hospital Universitari de Tarragona Joan XXIII, IISPV, Universitat Rovira i Virgili, Tarragona, Spain.
M Mar RodríguezCIBERObn Fisiopatología, Obesidad y Nutrición, Institut D'investigacio Biomedica De Girona Dr Josep Trueta, Girona, Spain.
Esther SolanoCentro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain; Hospital Universitari de Tarragona Joan XXIII, IISPV, Universitat Rovira i Virgili, Tarragona, Spain.
Albert GodayDepartment of Endocrinology and Nutrition Hospital del Mar, Parc de Salut Mar, Universitat Autónoma de Barcelona, Barcelona, Spain.
Federico SoriguerUGCI de Endocrinología y Nutrición, Instituto de Biomedicina de Málaga (IBIMA), Hospital Regional Universitario, Málaga, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain.
Sergio ValdésUGCI de Endocrinología y Nutrición, Instituto de Biomedicina de Málaga (IBIMA), Hospital Regional Universitario, Málaga, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain.
Felipe Javier ChavesGenotyping and Genetic Diagnosis Unit, Fundación de Investigación del Hospital Clínico de Valencia-INCLIVA, Valencia, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain.
Elías DelgadoDepartamento de Medicina-Endocrinología y Nutrición, Hospital Universitario Central de Asturias (HUCA), Universidad de Oviedo, Oviedo, Spain.
Natalia ColomoUGCI de Endocrinología y Nutrición, Instituto de Biomedicina de Málaga (IBIMA), Hospital Regional Universitario, Málaga, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain.
Pilar HernándezHospital Universitari de Tarragona Joan XXIII, IISPV, Universitat Rovira i Virgili, Tarragona, Spain.
Joan VendrellCentro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain; Hospital Universitari de Tarragona Joan XXIII, IISPV, Universitat Rovira i Virgili, Tarragona, Spain.
Matilde R ChacónCentro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas CIBERDEM, Barcelona, Spain; Hospital Universitari de Tarragona Joan XXIII, IISPV, Universitat Rovira i Virgili, Tarragona, Spain.
Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESHospital Universitari Joan XXIII de Tarragona · ESInstitut d'Investigació Sanitària Pere Virgili · ESInstituto de Investigación Biomédica de Málaga · ESHospital Universitario Central de Asturias · ESSpanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition · ESUniversitat Autònoma de Barcelona · ESUniversitat Rovira i Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSerum levels of soluble TNF-like weak inducer of apoptosis (sTWEAK) and its scavenger receptor CD163 (sCD163) have been linked to insulin resistance. We analysed the usefulness of these cytokines as biomarkers of type 2 diabetes in a Spanish cohort, together with their relationship to food consumption in the setting of the Di@bet.es study. RESEARCH DESIGN AND

methodsThis is a cross-sectional, matched case-control study of 514 type 2 diabetes subjects and 517 controls with a Normal Oral Glucose Tolerance Test (NOGTT), using data from the Di@bet.es study. Study variables included clinical and demographic structured survey, food frequency questionnaire and physical examination. Serum concentrations of sTWEAK and sCD163 were measured by ELISA. Linear regression analysis determined which variables were related to sTWEAK and sCD163 levels. Logistic regression analysis was used to estimate odd ratios of presenting type 2 diabetes.

resultssCD163 concentrations and sCD163/sTWEAK ratio were 11.0% and 15.0% higher, respectively, (P<0.001) in type 2 diabetes than in controls. Following adjustment for various confounders, the OR for presenting type 2 diabetes in subjects in the highest vs the lowest tertile of sCD163 was [(OR), 2,01 (95%CI, 1,46-2,97); P for trend <0.001]. Coffee and red wine consumption was negatively associated with serum levels of sCD163 (P = 0.0001 and; P = 0.002 for coffee and red wine intake, respectively).

conclusionsHigh circulating levels of sCD163 are associated with type 2 diabetes in the Spanish population. The association between coffee and red wine intake and these biomarkers deserves further study to confirm its potential role in type 2 diabetes.

Indexed as

CoffeeDrinking BehaviorWineAntigens, CDAntigens, Differentiation, MyelomonocyticCD163 AntigenCytokine TWEAKDiabetes Mellitus, Type 2Feeding BehaviorFemaleHumansLikelihood FunctionsMaleMiddle AgedReceptors, Cell SurfaceSolubilityAntigens, CDAntigens, Differentiation, MyelomonocyticCD163 AntigenCoffeeCytokine TWEAKReceptors, Cell SurfaceTNFSF12 protein, humanTumor Necrosis Factors

Identifiers

PMID24978196
PMCPMC4076325
OpenAlexW2030529351

What OpenQuestion holds

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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.