Evidence map›Paper›PMID 25105135›Full record

Trial reportBioMed research international2014

Adiponectin, leptin, and chemerin in elderly patients with type 2 diabetes mellitus: a close linkage with obesity and length of the disease.

Susana Coimbra, Jorge Brandão Proença, Alice Santos-Silva, Maria João Neuparth

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. A Novel Blend ofFoods (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Review
  7. Weight of time: exploring the link between obesity and aging.Aging clinical and experimental research · 2025
    Review
  8. Article
  9. Article
  10. Review
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  14. Article
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  16. Article
  17. Prevalence, risk factors, and clinical correlations of underweight in Chinese newly diagnosed and drug-naïve patients with Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
  18. Article
  19. Article
  20. Plasma Lipocalin-2 and Adiponectin are Affected by Obesity Rather Than Type 2 Diabetes Mellitus per se.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    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

4 authors at 2 institutions in 1 country.

Susana CoimbraInstituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Rua do Campo Alegre 823, 4150 Porto, Portugal ; CESPU, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde (IINFACTS), Rua Central da Gandra 1317, 4585-116 Gandra, Portugal.ORCID 0000-0001-8411-8038
Jorge Brandão ProençaCESPU, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde (IINFACTS), Rua Central da Gandra 1317, 4585-116 Gandra, Portugal.
Alice Santos-SilvaInstituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Rua do Campo Alegre 823, 4150 Porto, Portugal ; Laboratório de Bioquímica, Departamento de Ciências Biológicas, Faculdade de Farmácia (FFUP), Universidade do Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal.ORCID 0000-0002-2565-3169
Maria João NeuparthCESPU, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde (IINFACTS), Rua Central da Gandra 1317, 4585-116 Gandra, Portugal ; Centro de Investigação em Actividade Física, Saúde e Lazer (CIAFEL), Universidade do Porto, Rua Dr. Plácido Costa 91, 4200-450 Porto, Portugal.
Universidade do Porto · PTCooperativa de Ensino Superior Politécnico e Universitário · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity, insulin resistance, and aging are closely associated and adipokines seem to have a crucial role in their pathophysiology. We aim to study the relationship between aging and chemerin, adiponectin, and leptin levels in type 2 diabetes mellitus (T2DM). Age correlated positively with chemerin and leptin and inversely with adiponectin. Body mass index (BMI) correlated positively with leptin (in males) and chemerin and inversely with adiponectin. The patients with ≥ 65 years (n = 34) showed significantly higher leptin and chemerin and lower adiponectin levels than middle-aged (38-64 years) patients (n = 39) and controls (n = 20). After statistical adjustment for length of disease, there was a loss of significance, between T2DM groups, for adiponectin and, in female, for leptin. In the older group, BMI correlated with adiponectin and with leptin, but not with chemerin. Adiponectin and leptin levels in elderly T2DM patients seem to be closely linked to obesity and to length of the disease. In elderly T2DM patients, chemerin concentrations are increased and seem to be independent of length of disease and BMI, suggesting that adipocyte dysfunction is enhanced with aging. The understanding of the glucose homeostasis impairment in the elderly is mandatory in order to achieve ways to improve their quality of life and longevity.

Indexed as

AdiponectinAdultAgedAged, 80 and overAge FactorsAgingBody Mass IndexChemokinesDiabetes ComplicationsDiabetes Mellitus, Type 2FemaleHumansInsulin ResistanceIntercellular Signaling Peptides and ProteinsLeptinMaleAdiponectinADIPOQ protein, humanChemokinesIntercellular Signaling Peptides and ProteinsLeptinRARRES2 protein, human

Identifiers

PMID25105135
PMCPMC4101968
OpenAlexW2106407389

What OpenQuestion holds

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LicenceCC BY
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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.