Evidence map›Paper›PMID 32411188›Full record

ArticlePPAR research2020

PPAR-Gamma Agonist Pioglitazone Reduced CD68+ but Not CD163+ Macrophage Dermal Infiltration in Obese Psoriatic Patients.

Ya O Yemchenko, V I Shynkevych, K Ye Ishcheikin, I P Kaidashev

Open access · goldAbstract read
In one paragraph

Article in PPAR research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. The M2 Macrophages Importance Role in Psoriasis.Immunity, inflammation and disease · 2025
    Review
  2. Article
  3. Article
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  6. Article
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  8. Cellular based immunotherapy for primary liver cancer.Journal of experimental & clinical cancer research : CR · 2021
    Review
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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

4 authors at 1 institution in 1 country.

Ya O YemchenkoUkrainian Medical Stomatological Academy, Poltava 36024, Ukraine.ORCID https://orcid.org/0000-0003-1207-6777
V I ShynkevychUkrainian Medical Stomatological Academy, Poltava 36024, Ukraine.ORCID https://orcid.org/0000-0002-2436-9449
K Ye IshcheikinUkrainian Medical Stomatological Academy, Poltava 36024, Ukraine.
I P KaidashevUkrainian Medical Stomatological Academy, Poltava 36024, Ukraine.
Ukrainian Medical Stomatological Academy · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMacrophages are of great importance in the development of obesity and psoriasis. Signaling via PPAR-

methodsWe used immunohistochemistry to characterize CD68+ and CD163+ macrophages and pathomorphological description of skin biopsy, obtained from 6 obese psoriatic patients before and after treatment with 15, 30, and 45 mg pioglitazone, once a day during 6 months. Two patients with conventional therapy and without pioglitazone served as control.

resultsGenerally, CD163+ cell quantities in psoriasis-affected skin significantly dominated over CD68+ before and after all treatment regiments. Among patients who received pioglitazone, some of them clearly responded to treatment from lowest to highest doses by decreasing CD68+ cells. In the group with 30 mg pioglitazone regiment, we detected a significant reduction of CD68+ cells in dermal infiltrates: CI 95% (16-32) before versus CI 95% (2-7) after treatment. Pioglitazone dose escalation led to certain normalization of skin morphology.

conclusionThe immunohistochemical study allows us to show the anti-inflammatory effect of pioglitazone in psoriatic obese patients, which can be mediated by reducing the number of СD68+ macrophages, but not СD163+ macrophages, in the affected dermis.

Identifiers

PMID32411188
PMCPMC7211254
OpenAlexW3022622029

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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.