GI Efficacy Service Overview

Real patient tissue, three disease axes, and a clinical benchmark in every run

VivoSim Labs offers an integrated gastrointestinal efficacy service built on the NAMkind™ IBD disease model. Safety kills individual candidates, but lack of efficacy kills whole programs: only about 8% of molecules entering Phase 1 reach launch, and efficacy failure dominates Phase II and Phase III attrition. In IBD that failure is compounded by the models used to make early decisions — chemically induced rodent colitis produces a phenotype that resolves on its own timetable, driven by immune biology that is not human.

The NAMkind™ IBD model is built from patient-derived colonoids and enteroids taken from ulcerative colitis and Crohn’s disease donors, with clinical annotation. Twelve donors are currently available, and response magnitude genuinely varies between them — which is the point. Inbred animals produce clean data by hiding exactly the donor-to-donor variation that determines whether a drug works in a real population. We show you that variation rather than averaging it away.

Tissue is cultured in a 96-well transwell with a polarized epithelium and a stromal compartment, which allows apical or basolateral dosing — the difference between an oral drug arriving at the lumen and a systemic biologic arriving through the tissue. Healthy tissue in the same format is available as the comparator arm, so an effect can be read as movement toward the healthy state rather than as an isolated delta.

Every study runs your compound alongside an approved or clinically validated reference in the same donor tissue, so the outcome is a positioned result rather than a standalone number. The deliverable is Excel raw data, interpreted slides, and a senior scientist walking your team through what it means for the program.

The three disease axes

IBD is not one phenotype

A compound that repairs the barrier but does nothing for fibrosis is a different drug from one that does both. The model measures all three axes in the same well.

Barrier — TEER

Transepithelial electrical resistance across a polarized epithelium: the functional definition of a leaky gut, measured non-destructively over the course of the study rather than at a single endpoint.

Inflammation — IL-6 / IL-8

Cytokine secretion from the epithelial, fibroblast and endothelial compartments, quantified against untreated diseased control from the same donor.

Fibrosis — P1NP

Collagen synthesis in the stromal compartment. This is the readout that separates symptom control from disease modification, and it is the one an epithelium-only organoid cannot produce at all.
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The question worth asking any platform: “Which cell in your model makes the collagen?” A model with no stromal compartment can report barrier and cytotoxicity. It cannot report an anti-fibrotic effect, because the fibrogenic cell is not in the well.

Immune-driven mechanisms

For compounds acting on T-cell, B-cell or macrophage activation rather than on the epithelium directly, two configurations are available:

  • Conditioned medium — activated immune cells → supernatant → organoid
  • Direct co-culture — immune cells cultured with the organoid

Evidence

The model separates compounds that look identical on paper

JAK inhibitors are not interchangeable. Across tofacitinib, upadacitinib and filgotinib, effects on fibrosis, permeability and inflammation diverge. Several reduce P1NP; barrier responses are not uniformly improved. IL-6 falls across the class, with the size of the effect depending on the donor. Anti-fibrotic and barrier effects separate — which is not visible in a model that reports only one axis.

A non-JAK compound matched JAK efficacy. FXR314 showed activity on barrier injury, inflammatory and fibrosis-associated readouts across both UC and CD models, broadly comparable to tofacitinib in the same system — establishing a non-JAK benchmark and demonstrating that mechanistically novel compounds can be positioned against the standard of care.

Clinically used anti-inflammatories are detected. Methotrexate produced a dose-dependent reduction in P1NP in both Crohn’s patient models, with statistically annotated reductions versus untreated control — confirming the fibrosis readout responds to drugs known to work in patients.

Publications

Filter:

Development of a Multicellular 3D Intestinal Model Using Human Primary Cells to Identify Novel IBD Therapies

Gervacio S, Dudum R, Aidnick H, et al. Digestive Disease Week 2025, Abstract No. Tu2035

Clinically Benchmarked Multi-Endpoint 3D Liver Spheroid NAM for DILI Prediction and SAR Prioritization 

Rachel Dudum, Mehrsa Mehrabi, Payton Olson, Cole Toohey, Haylee Aidnik, Caridad Rosette, Keith Murphy, Amar A. Sethi

Human 3D Liver Spheroid NAM for ADC DILI Risk Assessment 

Mehrsa Mehrabi, Payton Olson, Cole Toohey, Rachel Dudum, Haylee Aidnik, Caridad Rosette, Keith Murhpy, Amar A. Sethi

A Machine-Learning Enhanced Human Intestinal NAM for Diarrhea Risk Assessment Across Small Molecules and ADCs  

Vivian (Xiao) Han, Haylee Aidnik, Sherwin Gervacio, Cole Toohey, Caridad Rosette, Keith Murphy, Amar A. Sethi

Multicellular Human 3D Liver NAM for DILI Risk Assessment Across Small Molecules and Antibody Drug Conjugates 

Caridad Rosette, Mehrsa Mehrabi, Rachel Dudum, Payton Olson, Cole Toohey, Haylee Aidnik, Philip Tan, Keith Murphy, Amar A. Sethi

Multicellular Human Intestinal NAM for Diarrhea Risk Stratification Across Small Molecules and Antibody Drug Conjugates

Caridad Rosette, Vivian Xiao Han, Sherwin Gervacio, Cole Toohey, Haylee Aidnik, Keith Murphy, Amar A. Sethi

NAMkind™ Liver & Intestine Toxicity Prediction Across Small Molecules and Antibody Drug Conjugates 

Amar A. Sethi, Mehrsa Mehrabi, Vivian Xiao Han, Rachel Dudum, Sherwin Gervacio, Payton Olson, Cole Toohey, Haylee Aidnik, Philip Tan, Caridad Rosette, and Keith Murphy

How the service works

From intake to final report, the workflow is built for speed and clarity. You ship the compounds; we culture patient-derived transwells, run the repeat-dosing schedule, collect the endpoint panel, and translate the data into a recommendation.

Studies start the week the compounds and the purchase order arrive — there is no campaign queue. Interim status is visible on the customer portal throughout, and the final report is issued three weeks after the last treatment.

Standard service timeline

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Day -3 onward Transwell seeding, differentiation and TEER baseline

Day 0 1st Dose

Weeks 3, 7, 10 Repeat dosing

Week 2 Harvest and endpoint collection

Weeks 3-5 Data Analysis

Week 5 Report and readout call

Flexible Study Design

  • 14-day treatment period, 21-day option
  • Apical or basolateral dosing
  • 4+ concentrations per target
  • Replicates set per endpoint
  • 96-well transwell format
  • UC and CD donors; healthy tissue comparator arm available
  • Positive and negative controls on every plate

Included Assays

  • TEER
  • ATP
  • Alamar Blue
  • P1NP
  • IL6
  • Custom assays for additional fee are:
    • immunohistochemistry for desired antigens
    • Picrosirius Red (PSR) staining for collagen
    • soluble fibrogenic biomarkers (ProC3, P3NP)
    • RNAseq

Optional Assays

  • Gene expression — RNA sequencing
  • Extended cytokine panel — Luminex (IL-1β, MCP-1, TNF-α)
  • Permeability to fluorescent tracers and macromolecules
  • Immune co-culture configuration
  • Multi-donor arms for variability assessment
  • Reference compounds on every plate
    • Positive: tofacitinib, upadacitinib
    • Additional: methotrexate, prednisolone
    • Negative: vehicle and untreated diseased control

Data Package

  • Dose-response curves per endpoint, mean ± 95% CI
  • Serial TEER traces across the treatment period
  • Per-donor breakdown, not just the pooled mean
  • Comprehensive tabular report and raw instrument files
  • High-resolution microscopy images
  • Interpreted slide deck and a scientist on the readout call

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Real patient tissue, clinically annotated

Colonoids and enteroids from ulcerative colitis and Crohn’s disease donors — 12 available, with clinical annotation and healthy comparator tissue in the same format.
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Three disease axes, one well

Barrier, inflammation and fibrosis measured together, so you can tell a barrier-repairing compound from a disease-modifying one.
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Donor variability you can see

Response magnitude varies by donor. We report per-donor results rather than averaging away the variation that decides whether a drug works in a population.
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Clinically anchored on every plate

Your compound runs beside tofacitinib, upadacitinib or another validated reference in the same donor tissue.

Getting started

Bring us the compound you are unsure about

The fastest way to evaluate the platform is to run one target you already have data on. If the model reproduces what you know, you can trust it on what you do not.

01 — Send the target and the question Compound class, indication, and what decision hangs on the result.

02 — Study design in 48 hours A written design and quote, reviewed with a VivoSim scientist.

03 — Pilot runs the week the PO lands No campaign queue. Interim status visible on the customer portal.