Evidence map›Paper›PMID 29235553›Full record

ArticleInternational journal of obesity (2005)2018

Pro-inflammatory gene expression profile in obese adults with high plasma GIP levels.

J Góralska, U Raźny, A Polus, J Stancel-Możwiłło, M Chojnacka, A Gruca, A Zdzienicka, A Dembińska-Kieć, B Kieć-Wilk, B Solnica and 1 more

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Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  4. The role of GIPR in food intake control.Frontiers in endocrinology · 2025
    Review
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  8. Intestinal FFA3 mediates obesogenic effects in mice on a Western diet.American journal of physiology. Endocrinology and metabolism · 2022
    Article
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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

11 authors at 1 institution in 1 country.

J GóralskaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
U RaźnyDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
A PolusDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
J Stancel-MożwiłłoDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
M ChojnackaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
A GrucaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
A ZdzienickaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
A Dembińska-KiećDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
B Kieć-WilkDepartment of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.
B SolnicaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
M Malczewska-MalecDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland.
Jagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlucose-dependent insulinotropic peptide (GIP) provides a novel link between the immune system and the gut, although results from different experimental and observational studies are contradictory, ranging from anti-inflammatory, through neutral to pro-inflammatory action of GIP. Thus, the aim of this study was to analyze inflammatory pathways on the level of gene expression and circulating inflammatory markers in relation to plasma GIP level. SUBJECTS/

methodsThe study included 128 obese adults. Two groups of obese subjects were created according to fasting GIP levels, with cutoff point at the 66th percentile and compared in respect with molecular and circulating markers of inflammation. GIP, interleukin (IL)-6 and adipokines: leptin, adiponectin, visfatin were measured by enzyme-linked immunosorbent assay. Inflammatory markers: monocyte chemoattractant protein-1 (MCP-1), sE-Selectin, sVCAM-1, sPECAM-1 were studied at fasting and after nutrient challenges. Gene expression in blood cells was determined by human gene microarray.

resultsObese patients with high GIP levels had elevated fasting glucose (Q2 (Q1-Q3): 5.6 (5.0-6.0) vs 5.0 (4.8-5.4), P<0.001), homeostasis model assessment of insulin resistance (Q2 (Q1-Q3): 3.68 (2.72-5.42) vs 2.70 (2.13-4.33), P=0.021), thus increased markers of insulin resistance as well as elevated inflammatory markers Il-6 (Q2 (Q1-Q3): 1.34 (1.0-2.04) vs 1.12 (0.76-1.64), P=0.045), MCP-1 (Q2 (Q1-Q3): 363 (287-447) vs 323 (263-389), P=0.026). Leptin to adiponectin ratio was significantly associated with fasting plasma GIP levels (β (95% CI): 0.84 (0.10-1.59)) independently of glucose levels. sE-Selectin was found to be a factor influencing GIP response to oral glucose intake (β (95% CI): 0.47 (0.14-0.81)) and sVCAM was found to be a factor influencing GIP response to high-fat meal intake (β (95% CI): 0.19 (0.01-0.37)). We identified 32 genes of inflammatory pathways differentially expressed in subjects with a high plasma GIP level compared to low GIP. Most upregulated genes play a role in leukocyte chemotaxis and tissue infiltration.

conclusionsThese findings support the hypothesis that increased GIP signaling has a role in chronic low-grade inflammation.

Indexed as

AdipokinesAdultCohort StudiesCytokinesFemaleGastric Inhibitory PolypeptideGene Expression ProfilingGene Regulatory NetworksHumansMaleMiddle AgedObesityTranscriptomeAdipokinesCytokinesGastric Inhibitory Polypeptide

Identifiers

PMID29235553
OpenAlexW2774595101

What OpenQuestion holds

Textmetadata
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.