Evidence map›Paper›PMID 35094637›Full record

ArticleAdipocyte2022

A Straightforward Method for Adipocyte Size and Count Analysis Using Open-source Software QuPath.

Ville A Palomäki, Vesa Koivukangas, Sanna Meriläinen, Petri Lehenkari, Tuomo J Karttunen

Open access · goldAbstract read
In one paragraph

Article in Adipocyte, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.4field-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

19 citing papers in PubMed, 30 citations in OpenAlex.

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  12. AGPAT3 deficiency impairs adipocyte differentiation and leads to a lean phenotype in mice.American journal of physiology. Endocrinology and metabolism · 2024
    Article
  13. Downregulation of Caveolae-Associated Proteins in Psoriasis: A Case Series Study.JID innovations : skin science from molecules to population health · 2024
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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

5 authors at 1 institution in 1 country.

Ville A PalomäkiDepartment of Surgery, Oulu University Hospital and University of Oulu, Oulu, Finland.
Vesa KoivukangasDepartment of Surgery, Oulu University Hospital and University of Oulu, Oulu, Finland.
Sanna MeriläinenDepartment of Surgery, Oulu University Hospital and University of Oulu, Oulu, Finland.
Petri LehenkariCancer and Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.ORCID 0000-0002-0055-5183
Tuomo J KarttunenCancer and Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
Oulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in adipose tissue morphology, depicted by cell morphology alterations such as enlargement of fat cells, always accompany over-weight and obesity. The variables related to cell size have been shown to associate with low-grade inflammation of adipose tissue and common obesity-related comorbidities including metabolic syndrome and type 2 diabetes. Quantifying fat cell morphology from images of histological specimens can be tedious. Here, we present a straightforward method for the task using the free open-source software QuPath with its inbuilt tools only. Measurements of human adipose tissue samples with the described protocol showed an excellent correlation with those obtained with ImageJ software with Adipocyte Tools plugin combined with manual correction of misdetections. Intraclass correlation between the two methods was at good to excellent level. The method described here can be applied to considerably large tissue areas, even whole-slide analysis.

Indexed as

Diabetes Mellitus, Type 2AdipocytesAdipose TissueHumansObesitySoftwareAdipocyte sizeAdipocyte Toolsfat cell sizeImageJobesityQupath

Identifiers

PMID35094637
PMCPMC8803053
OpenAlexW4210588850

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.