Evidence map›Paper›PMID 39257790›Full record

ArticlebioRxiv : the preprint server for biology2024

High-Throughput Assay for Predicting Diarrhea Risk Using a 2D Human Intestinal Stem Cell-Derived Model.

Colleen M Pike, James A Levi, Lauren A Boone, Swetha Peddibhotla, Jacob Johnson, Bailey Zwarycz, Maureen K Bunger, William Thelin, Elizabeth M Boazak

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

9 authors.

Colleen M PikeAltis Biosystems, Durham NC, 27709, USA.ORCID 0000-0002-5409-2700
James A LeviAltis Biosystems, Durham NC, 27709, USA.
Lauren A BooneAltis Biosystems, Durham NC, 27709, USA.
Swetha PeddibhotlaAltis Biosystems, Durham NC, 27709, USA.
Jacob JohnsonAltis Biosystems, Durham NC, 27709, USA.
Bailey ZwaryczAltis Biosystems, Durham NC, 27709, USA.
Maureen K BungerAltis Biosystems, Durham NC, 27709, USA.
William ThelinAltis Biosystems, Durham NC, 27709, USA.
Elizabeth M BoazakAltis Biosystems, Durham NC, 27709, USA.ORCID 0000-0003-0368-2572

Funding

Planar culture of gastrointestinal stem cells for screening pharmaceuticals for adverse event riskR44TR004230 · NCATS · ALTIS BIOSYSTEMS, INC. · PI SIMS, CHRISTOPHER ELDRIDGE · 2023 to 2024
$1.8M
Planar culture of gastrointestinal stem cells for screening pharmaceuticals for adverse event riskR43TR004230 · NCATS · ALTIS BIOSYSTEMS, INC. · PI SIMS, CHRISTOPHER ELDRIDGE, THELIN, BILL · 2022 to 2022
$257k
NCATS NIH HHS R43 TR004230NCATS NIH HHS R44 TR004230
6 · The paper itself

Abstract

Gastrointestinal toxicities (GITs) are the most prevalent adverse events (AE) reported in clinical trials, often resulting in dose-limitations that reduce drug efficacy and delay development and treatment optimization. Preclinical animal models do not accurately replicate human GI physiology, leaving few options for early detection of GI side effects prior to human studies. Development of an accurate model that predicts GIT earlier in drug discovery programs would better support successful clinical trial outcomes. Chemotherapeutics, which exhibit high rates of clinical GIT, frequently target mitotic cells. Therefore, we hypothesized that a model utilizing proliferative cell populations derived from human intestinal crypts would predict the occurrence of clinical GITs with high accuracy. Here, we describe the development of a multiparametric assay utilizing the RepliGut

Indexed as

Adverse eventsDiarrheaEpitheliumHigh throughputIntestineIn vitro model

Identifiers

PMID39257790
PMCPMC11383669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.