Evidence map›Paper›PMID 41014607›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Parabiosis, Assembloids, Organoids (PAO).

Yang Hong, Lavonda Li, Lijie Yan, Long Bai, Jiacan Su, Xingcai Zhang

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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. Article
  2. Machine-Learning Microfluidic Minute-Scale Microorganism Metrics Monitoring(M6).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Highly Biomimetic Ectodermal Epithelial Organoids for Epithelial Barrier Stimulation Assays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Parabiosis, Assembloids, Organoids (PAO).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Review
  6. Review
  7. Review
  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

6 authors.

Yang HongInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Lavonda LiWorld Tea Organization, Cambridge, MA, 02139, USA.
Lijie YanWorld Tea Organization, Cambridge, MA, 02139, USA.
Long BaiInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Jiacan SuInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.ORCID https://orcid.org/0000-0001-7080-263X
Xingcai ZhangWorld Tea Organization, Cambridge, MA, 02139, USA.

Funding

National Natural Science Foundation of China 32471395National Natural Science Foundation of China 32471396National Natural Science Foundation of China 82172098National Natural Science Foundation of China 82230071National Natural Science Foundation of China 82427809Shanghai Committee of Science and Technology Laboratory Animal Research Project 23141900600Shanghai Hospital Development Center SHDC2023CRT01Shanghai Municipal Demonstration Project for Innovative Medical Device Applications 23SHS05700Young Elite Scientist Sponsorship Program by China Association for Science and Technology YESS20230049
6 · The paper itself

Abstract

The research and treatment of major diseases challenge global public health, necessitating advanced disease models. Existing approaches have clear limitations: two-dimensional cell cultures lack multi-organ interactions, clinical trials are costly and ethically constrained, and animal models, focused on single organs, fail to replicate systemic regulation. Parabiosis, which connects two organisms via shared circulation, provides insights into systemic factors and multi-organ interactions but has limited applicability to humans. Furthermore, organoids are three-dimensional structures formed through stem cell self-organization that replicate the functions of individual tissues and advance personalized medicine; however, they cannot model inter-tissue interactions. Assembloids overcome these constraints by integrating diverse organoids, enabling sophisticated simulation of multi-organ dynamics. The integration of these parabiosis, assembloids, organoids (PAO) models with emerging technologies, such as artificial intelligence for precision analytics, CRISPR-based gene editing for disease mechanism elucidation, organ-on-a-chip platforms for dynamic environmental control, and soft robotics for replicating physiological biomechanics, promises to revolutionize disease modeling, regenerative medicine, and precision therapeutics. This review evaluates parabiosis, assembloids, and organoids, highlighting their development, current limitations, and transformative potential when combined with frontier biomedical engineering approaches to address complex human diseases.

Indexed as

OrganoidsParabiosisAnimalsHumansPrecision MedicineRegenerative Medicineartificial intelligence (AI)CRISPRorgan‐on‐a‐chipparabiosis assembloids organoids (PAO)precision medicine

Identifiers

PMID41014607
PMCPMC12866807

What Socratic holds

Textmetadata
LicenceCC BY
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.