Evidence map›Paper›PMID 41144470›Full record

ArticlePloS one2025

Rapid 3D phenotyping of chick embryo liver development at HH22-HH41 embryonic stages using X-ray microcomputed tomography with PTA staining.

Igor Rzhepakovsky, Sergei Piskov, Svetlana Avanesyan, Marina Sizonenko, Lyudmila Timchenko, Magomed Shakhbanov, Gloria Nassali, Idrisa Kiryowa, Andrey Nagdalian

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

9 authors.

Igor RzhepakovskyNorth-Caucasus Federal University, Stavropol, Russia.
Sergei PiskovNorth-Caucasus Federal University, Stavropol, Russia.
Svetlana AvanesyanNorth-Caucasus Federal University, Stavropol, Russia.
Marina SizonenkoNorth-Caucasus Federal University, Stavropol, Russia.
Lyudmila TimchenkoNorth-Caucasus Federal University, Stavropol, Russia.
Magomed ShakhbanovNorth-Caucasus Federal University, Stavropol, Russia.
Gloria NassaliMakerere University, Kampala, Uganda.ORCID https://orcid.org/0009-0001-4511-7101
Idrisa KiryowaInstitute for Precise Mechanics and Optics (ITMO), St. Petersburg, Russia.
Andrey NagdalianNorth-Caucasus Federal University, Stavropol, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal models, particularly the chicken embryo (CE), remain crucial for advancing developmental biology and medicine. Liver embryogenesis, a complex and tightly regulated process, is particularly susceptible to developmental abnormalities. This study presents a comprehensive 2D and 3D µCT analysis of CE liver development (HH22-HH41) using a refined 1% phosphotungstic acid (PTA) staining protocol. Our methodology yielded high-resolution visualization of liver microstructures, including intricate vascular networks, with image quality and contrast comparable to histological analysis. Quantitative assessment revealed a critical period of rapid liver growth between incubation days 6 and 9 (HH29-HH35), followed by the stabilization of hepatic vascular volume by day 10 (HH36). The ease of structural orientation in µCT datasets, enhanced by 3D renderings, further underscores the technique's utility. By establishing µCT as an effective tool for liver imaging, this study provides essential normative data on the liver's spatial organization, morphology, and vascular architecture during embryogenesis, thereby opening new avenues for research in embryology, teratology, pharmacology, and toxicology.

Indexed as

Imaging, Three-DimensionalLiverX-Ray MicrotomographyAnimalsChick EmbryoEmbryonic DevelopmentPhenotypeStaining and Labeling

Identifiers

PMID41144470
PMCPMC12558506

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Registered trials

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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.