Evidence map›Paper›PMID 41837472›Full record

ReviewACS biomaterials science & engineering2026

Engineering Human Retinal Organoids and Eye-on-a-Chip Models for Degenerative Eye Disease.

Jiansen Wang, Yang Yang, Zichen Hong, Yantao Xing, Mingxia Gu, Tasneem P Sharma, Jason S Meyer, Feng Guo

Abstract readReview
In one paragraph

Review in ACS biomaterials science & engineering, 2026. 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

8 authors.

Jiansen WangDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana 47405, United States.
Yang YangDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana 47405, United States.
Zichen HongDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana 47405, United States.
Yantao XingDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana 47405, United States.
Mingxia GuDepartment of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Biology, University of California, Los Angeles, California 90095, United States.
Tasneem P SharmaDepartment of Medical and Molecular Genetics, Department of Ophthalmology, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.
Jason S MeyerDepartment of Medical and Molecular Genetics, Department of Ophthalmology, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.
Feng GuoDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana 47405, United States.ORCID 0000-0001-9103-3235

Funding

Microphysiological systems to Advance Precision medicine for Alzheimer's Disease and Related Dementias (MAP-AD)U54AG090792 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Timothy I Richardson · 2025 to 2026
$9.9M
An automated portable system for detecting and treating opioid induced respiratory depressionU01DA056242 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG, MACKIE, KENNETH · 2022 to 2024
$3.8M
Development of an intelligent droplet acoustofluidic platform for automated liquid-liquid handing and monitoring in biomedical researchR01GM160423 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Feng Guo · 2025 to 2026
$727k
NIA NIH HHS U54 AG090792NIDA NIH HHS U01 DA056242NIGMS NIH HHS R01 GM160423
6 · The paper itself

Abstract

Degenerative eye diseases are major causes of irreversible vision loss worldwide, but effective treatments remain limited, partly due to the lack of effective human models. Retinal organoids derived from stem cells can recapitulate key structural and physiological features of the human retina, offering powerful tools to study disease mechanisms and develop new therapies. Here, we review recent progress in engineering retinal organoids and eye-on-a-chip models for modeling degenerative eye diseases, with a focus on engineering innovations. We first describe conventional methods for organoid differentiation and characterization along with current outstanding challenges. To better engineer retinal organoids, new strategies that leverage microfluidics and biomaterials have emerged to regulate dynamic and physiologically relevant environments for organoid differentiation. Moreover, the integration of artificial intelligence, multimodal sensing, and data analytics improves the monitoring and prediction of retinal function and therapeutic outcomes. Finally, we discuss future directions in innovating next-generation retinal organoid and eye-on-a-chip models for disease modeling, drug discovery, and vision restoration, highlighting their potential for precision ophthalmology.

Indexed as

Eye DiseasesLab-On-A-Chip DevicesModels, BiologicalOrganoidsRetinaTissue EngineeringHumansMicrophysiological SystemsAIEye diseaseEye-on-a-chipRetinal organoidsVision technology

Identifiers

PMID41837472
PMCPMC13234775

What Socratic holds

Textmetadata
LicenceTDM
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.