Evidence map›Paper›PMID 41149805›Full record

ArticleMethods and protocols2025

A Paired Flow Cytometry-Pathology Assessment for Immune Cell Detection in Intestinal Biopsies: Proof of Principle.

Alexandros Skamnelos, Georgios S Markopoulos, Lefkothea Dova, Ioulia Tragani, Meropi Katsipaneli, Dimitrios Christodoulou, Konstantinos Katsanos, Evangeli Lampri

Abstract read
In one paragraph

Article in Methods and protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Alexandros SkamnelosDepartment of Gastroenterology, University Hospital of Ioannina, 45110 Ioannina, Greece.
Georgios S MarkopoulosUnit of Molecular Biology and Translational Flow Cytometry, University Hospital of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0002-7700-7003
Lefkothea DovaUnit of Molecular Biology and Translational Flow Cytometry, University Hospital of Ioannina, 45110 Ioannina, Greece.
Ioulia TraganiDepartment of Pathology, University Hospital of Ioannina, 45110 Ioannina, Greece.ORCID 0009-0005-6743-4465
Meropi KatsipaneliDepartment of Pathology, University Hospital of Ioannina, 45110 Ioannina, Greece.
Dimitrios ChristodoulouDepartment of Gastroenterology, University Hospital of Ioannina, 45110 Ioannina, Greece.
Konstantinos KatsanosDepartment of Gastroenterology, University Hospital of Ioannina, 45110 Ioannina, Greece.
Evangeli LampriDepartment of Pathology, University Hospital of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0002-8633-7135

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate quantification of immune cell subpopulations is essential for understanding immune responses in research and clinical settings. Flow cytometry (FC) is widely used for immune cell phenotyping, providing rapid and quantitative single-cell resolution. However, tissue-based pathological assessment offers additional spatial and morphological context that is often necessary for a comprehensive understanding of immune cell distribution. Traditionally, these methods are applied separately to different specimens, limiting direct comparative analysis. Here, we describe a simple combined approach to immune cell quantification that integrates both FC and pathology analysis within the same tissue specimen of colon biopsies. Tissue samples were divided into two portions: one processed into a single-cell suspension for FC-based characterization of CD45

Indexed as

colonic biopsiesflow cytometryIBDimmune profilingimmunohistochemistrylymphocytestissue digestion

Identifiers

PMID41149805
PMCPMC12566358

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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.