Evidence map›Paper›PMID 41323936›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2025

Quantitative Analysis of Colonic Epithelial Cell Aging in a Cell-cycle like Model: Changes in Nucleus and Cytoplasm Along the Crypt Axis.

Shunxing Bao, Yaohong Wang, Gaurav Rudravaram, Rendong Zhang, Ruining Deng, Xin Yu, Chenyu Gao, Jia Li, Yike Li, Joseph T Roland and 7 more

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 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
–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

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

17 authors.

Shunxing BaoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Yaohong WangDepartment of Anatomical Pathology, UT MD Anderson Cancer Center, Houston, TX, USA.
Gaurav RudravaramDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Rendong ZhangDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Ruining DengDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Xin YuDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Chenyu GaoDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Jia LiDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, USA.
Yike LiDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Joseph T RolandDepartment of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Lianrui ZuoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Qi LiuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, USA.
Ken S LauDepartment of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Lori A CoburnVanderbilt University Medical Center, Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Nashville, USA.
Keith T WilsonVanderbilt University Medical Center, Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Nashville, USA.
Bennett A LandmanDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Yuankai HuoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Tuft cell heterogeneity in function, lineage, and structure in ileal inflammatory diseaseR01DK103831 · NIDDK · VANDERBILT UNIVERSITY · PI LAU, KEN S · 2016 to 2024
$4.4M
Spermidine as a New Therapy for Colitis and Chemopreventive for Colitis-associated CarcinogenesisR01DK128200 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WILSON, KEITH T. · 2021 to 2024
$2.7M
AI-empowered 3D Computer Vision and Image-Omics Integration for Digital Kidney HistopathologyR01DK135597 · NIDDK · VANDERBILT UNIVERSITY · PI Yuankai Huo · 2023 to 2026
$2.1M
CSRD VA I01 CX002171CSRD VA I01 CX002473CSRD VA I01 CX002662NCATS NIH HHS UL1 TR002243NIDDK NIH HHS R01 DK103831NIDDK NIH HHS R01 DK128200NIDDK NIH HHS R01 DK135597NIGMS NIH HHS T32 GM007347
6 · The paper itself

Abstract

Understanding epithelial cell aging in bowel tissue can provide critical insights into gastrointestinal (GI) health, potentially leading to improved diagnosis, treatment, and prevention strategies for various GI conditions. Despite the significance of cellular aging in the GI tract, previous studies have not quantified epithelial cell maturity development along the base-to-surface axis of colon crypts due to the labor-intensive nature of manual quantification and the lack of a clear definition of cellular age. Moreover, the process faces tremendous challenges when tissue is cut in 2D and examines results solely from one or a few biopsy cuts without reconstructing the full 3D space, as the original cell structure is 3D, leading to variability based on the cut angle. This research addresses these challenges by systematically analyzing the relationship between epithelial cell morphology and their position from the base to the surface in colon crypt tissue. Our approach involves using multiplex immunofluorescence (MxIF) imaging for cell nuclei segmentation, identifying the potential full longitudinal cut, and manually annotating the surface and base of the colon crypts. By analyzing the epithelial cells, we create density maps to investigate the relationship between nucleus size and the surface-to-base distance ratio, defining this ratio as cell age. We also examine the nucleus-to-cytoplasm (N/C) ratio in relation to cell age. For the statistical analysis, we use a robust linear regression model to remove outliers and a random effects model for the final regression. Our results show a decreasing trend in both the N/C ratio and nucleus size as epithelial cells move from the base to the surface. These findings provide a quantitative pipeline for single-cell profiling in a spatial manner, facilitating broader analysis of epithelial cell aging and its implications for GI health.

Identifiers

PMID41323936
PMCPMC12662720

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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.