Evidence map›Paper›PMID 40233763›Full record

ReviewCell reports methods2025

Validation of microphysiological systems for interpreting patient heterogeneity requires robust reproducibility analytics and experimental metadata.

Mark T Miedel, Mahboubeh Varmazyad, Mengying Xia, Maria Mori Brooks, Dillon C Gavlock, Celeste Reese, Jaideep Behari, Alejandro Soto-Gutierrez, Albert Gough, D Lansing Taylor and 1 more

Abstract readReview
In one paragraph

Review in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Perspectives on variability ofFrontiers in toxicology · 2026
    Article
  9. Review
  10. 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

11 authors.

Mark T MiedelDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Mahboubeh VarmazyadDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Mengying XiaDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Maria Mori BrooksDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA; Department of Biostatistics, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA.
Dillon C GavlockDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Celeste ReeseDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Jaideep BehariPittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA; Division of Gastroenterology, Hepatology and Nutrition, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Alejandro Soto-GutierrezDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA; Center for Transcriptional Medicine, Pittsburgh, PA 15261, USA.
Albert GoughDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA.
D Lansing TaylorDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Computational and System Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Mark E SchurdakDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Computational and System Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA. Electronic address: mes234@pitt.edu.

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
NRSA Training CoreTL1TR001858 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RADOMSKI, THOMAS, RUBIO, DORIS M · 2016 to 2025
$11.1M
Pittsburgh Liver Research CenterP30DK120531 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Shuchang Silvia Liu · 2019 to 2026
$10.9M
Human Microphysiology Systems Disease Model of Type 2 Diabetes Starting with Liver and pancreatic IsletsUH3DK119973 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2020 to 2022
$6.7M
Qualification of Patient-Derived Biomimetic Liver MPS as Drug Discovery Tools for Drug Metabolism, Toxicity, Drug Efficacy Testing and Clinical Trial Cohort SelectionU2CTR004863 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mark T. Miedel, Mark E Schurdak · 2024 to 2026
$6.1M
University of Pittsburgh Microphysiology Systems Database CenterU24TR002632 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GOUGH, ALBERT H, SCHURDAK, MARK E · 2018 to 2022
$5.1M
Novel Determinants for Progression of Non-Alcoholic Fatty Liver Disease to Hepatocellular Carcinoma and Other Health OutcomesR01CA255809 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BEHARI, JAIDEEP, YUAN, JIAN-MIN · 2021 to 2025
$3.7M
A vascularized patient-derived iPSC liver acinus microphysiology system as an innovative precision medicine platform for optimizing clinical trial design for nonalcoholic fatty liver diseaseUH3TR003289 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BEHARI, JAIDEEP, SOTO-GUTIERREZ, ALEJANDRO · 2022 to 2024
$2.3M
Implementing A QSP Platform to Predict and Test Drugs for Metabolic Associated Fatty Liver Disease Genetic Variants in an iPSC-cell Based Human Biomimetic Liver Microphysiology SystemR01DK135606 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mark T. Miedel · 2024 to 2026
$1.9M
Opera Phenix High-Content Imaging System for Drug DiscoveryS10OD028450 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2020 to 2020
$1.0M
NCATS NIH HHS KL2 TR001856NCATS NIH HHS TL1 TR001858NCATS NIH HHS U24 TR002632NCATS NIH HHS U2C TR004863NCATS NIH HHS UH3 TR003289NCATS NIH HHS UH3 TR004124NCATS NIH HHS UL1 TR001857NCI NIH HHS P30 CA047904NCI NIH HHS R01 CA255809NIDDK NIH HHS P30 DK120531NIDDK NIH HHS R01 DK135606NIDDK NIH HHS UH3 DK119973NIH HHS S10 OD028450
6 · The paper itself

Abstract

Multi-cell-type, 3D microphysiological systems (MPS) that recapitulate normal organ/organ system functions and the progression of diseases are being applied in drug discovery and development programs to enable precision medicine. A critical step for this application is to demonstrate the reproducibility of the MPS and its ability to identify biologic/clinical heterogeneity from experimental variability, which requires capturing detailed metadata associated with MPS studies as well as a strong analytical approach for assessing reproducibility. Detailed metadata ensure that identical study parameters are being compared when evaluating reproducibility. We have developed the Pittsburgh reproducibility protocol (PReP), which uses a set of common statistical metrics, the coefficient of variation (CV), ANOVA, and intraclass correlation coefficient (ICC), in a pipeline as a standard approach to evaluate the intra- and interstudy reproducibility of MPS performance. The PReP can be employed to identify biological/clinical heterogeneity relevant to precision medicine.

Indexed as

MetadataHumansMicrophysiological SystemsPrecision MedicineReproducibility of ResultsCP: biotechnology

Identifiers

PMID40233763
PMCPMC12256941

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.