Evidence map›Paper›PMID 39417817›Full record

ReviewJournal of applied physiology (Bethesda, Md. : 1985)2024

Microphysiological systems to advance human pathophysiology and translational medicine.

Anicca D Harriot, Christopher W Ward, Deok-Ho Kim

Abstract readReview
In one paragraph

Review in Journal of applied physiology (Bethesda, Md. : 1985), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
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  4. Review
  5. Article
  6. Review
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  8. Review
  9. 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

3 authors.

Anicca D HarriotDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States.ORCID 0000-0002-0846-3769
Christopher W WardDepartment of Orthopedics, University of Maryland School of Medicine, Baltimore, Maryland, United States.ORCID 0000-0001-6774-3579
Deok-Ho KimDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States.ORCID 0000-0002-6989-6074

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Microphysiological Model of Human Cardiac Sympathetic InnervationR01HL164936 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KIM, DEOK-HO, KWON, CHULAN · 2022 to 2025
$3.2M
Microtubule Regulated Mechanotransduction in Skeletal MuscleR01AR071618 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI WARD, CHRISTOPHER WILLIAM · 2017 to 2021
$2.6M
Osteocyte CaMKII as a Critical Regulator of Bone Physiology and AnabolismR01AR071614 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI Joseph P. Stains · 2018 to 2026
$2.6M
ASPIRE - A Joint Johns Hopkins, Morgan State and Coppin State IRACDA ProgramK12GM123914 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BROWN, LISA D., SARMA, SRIDEVI V. · 2018 to 2022
$2.5M
Engineering Clinical Trials on a Chip for Dystrophin-Deficient Muscular DystrophyUH3TR003271 · NCATS · JOHNS HOPKINS UNIVERSITY · PI KASS, DAVID ALAN, KIM, DEOK-HO · 2022 to 2024
$2.4M
Transcriptomic Entropy to Quantify Maturation of PSC-Derived CardiomyocytesR01HL156947 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KIM, DEOK-HO, KWON, CHULAN · 2021 to 2024
$2.3M
DISEASE MODELING AND PHENOTYPIC DRUG SCREENING FOR DYSTROPHIC CARDIOMYOPATHYR01HL146436 · NHLBI · UNIVERSITY OF WASHINGTON · PI KIM, DEOK-HO · 2019 to 2022
$2.2M
A Human iPSC-based 3D Microphysiological System for Modeling Cardiac Dysfunction in MicrogravityUH3TR003519 · NCATS · JOHNS HOPKINS UNIVERSITY · PI KIM, DEOK-HO · 2020 to 2022
$2.0M
TISSUE ENGINEERED HUMAN NEUROMUSCULAR JUNCTIONS FOR MODELING AXONAL NEUROPATHYR01NS094388 · NINDS · UNIVERSITY OF WASHINGTON · PI KIM, DEOK-HO · 2017 to 2021
$1.7M
Center for the Advancement of Science in Space (CASIS) GA-2023-9024HHS | NIH | National Center for Advancing Translational Sciences (NCATS) UH3TR003271HHS | NIH | National Center for Advancing Translational Sciences (NCATS) UH3TR003519HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL146436HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL156947HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL164936HHS | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) 5R01AR071614-05HHS | NIH | National Institute of General Medical Sciences (NIGMS) K12-GM123914HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS094388NCATS NIH HHS UH3 TR003271NCATS NIH HHS UH3 TR003519NHLBI NIH HHS R01 HL146436NHLBI NIH HHS R01 HL156947NHLBI NIH HHS R01 HL164936NIAMS NIH HHS R01 AR071614NIAMS NIH HHS R01 AR071618NIA NIH HHS P30 AG028747NIGMS NIH HHS K12 GM123914NINDS NIH HHS R01 NS094388
6 · The paper itself

Abstract

Microphysiological systems (MPS) or "organ-on-a-chip" models are sophisticated tools that harness techniques from cell biology, tissue engineering, and microengineering to recapitulate human physiology. Typically, MPS are biofabricated three-dimensional (3-D) tissue constructs integrated into platforms designed to mimic the tissue microenvironment and provide functional outputs. Over the past decade, researchers have endeavored to manufacture high-throughput, high-fidelity MPS models of all major human organs. By incorporating patient-derived cells, researchers have produced biomimetic models of tissues with disease-linked genetic mutations capable of exhibiting patient heterogeneity. This work has demonstrated that MPS more closely model organotypic function and pathophysiology than traditional two-dimensional (2-D) culture systems. Moreover, investigators have shown that human MPS are better predictors of drug efficacy and toxicity than animal models. Thus, MPS have emerged as a promising candidate to improve the efficacy and safety of preclinical trials. In this mini-review, we provide an overview of current advances in MPS models, their applications in mechanistic research, and relevance to drug screening. Finally, we discuss current investments in MPS development by the United States federal government and research institutions around the world to advance translational medicine.

Indexed as

Translational Research, BiomedicalAnimalsHumansLab-On-A-Chip DevicesMicrophysiological SystemsTissue EngineeringTranslational Science, Biomedicalmicrophysiological systemsorganoidorgan-on-a-chiptissue engineering

Identifiers

PMID39417817
PMCPMC12091598

What Socratic holds

Textmetadata
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 Socratic graph.