Evidence map›Paper›PMID 39592544›Full record

ReviewJournal of artificial organs : the official journal of the Japanese Society for Artificial Organs2025

Ex vivo functional whole organ in biomedical research: a review.

Karthikeyan Subbiahanadar Chelladurai, Jackson Durairaj Selvan Christyraj, Kamarajan Rajagopalan, Kayalvizhi Vadivelu, Meikandan Chandrasekar, Puja Das, Kalishwaralal Kalimuthu, Nivedha Balamurugan, Vijayalakshmi Subramanian, Johnson Retnaraj Samuel Selvan Christyraj

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Karthikeyan Subbiahanadar ChelladuraiMolecular Biology and Stem Cell Research Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu, India.
Jackson Durairaj Selvan ChristyrajMolecular Biology and Stem Cell Research Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu, India. jacksondurairaj@sathyabama.ac.in.ORCID http://orcid.org/0000-0003-0363-0529
Kamarajan RajagopalanMolecular Biology and Stem Cell Research Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu, India.
Kayalvizhi VadiveluDepartment of Biotechnology, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.
Meikandan ChandrasekarMolecular Biology and Stem Cell Research Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu, India.
Puja DasMolecular Biology and Stem Cell Research Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu, India.
Kalishwaralal KalimuthuRajiv Gandhi Centre for Biotechnology, Department of Biotechnology, Thiruvananthapuram, Kerala, India.
Nivedha BalamuruganMolecular Biology and Stem Cell Research Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu, India.
Vijayalakshmi SubramanianMolecular Biology and Stem Cell Research Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu, India.
Johnson Retnaraj Samuel Selvan ChristyrajMolecular Biology and Stem Cell Research Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu, India. johnnbt@sathyabama.ac.in.

Funding

Indian Council of Medical Research No. 12014/78/2020-HR/E-Office: 8047109
6 · The paper itself

Abstract

Model systems are critical in biomedical and preclinical research. Animal and in vitro models serve an important role in our current understanding of human physiology, disease pathophysiology, and therapy development. However, if the system is between cell culture and animal models, it may be able to overcome the knowledge gap that exists in the current system. Studies employing ex vivo organs as models have not been thoroughly investigated. Though the integration of other organs and systems has an impact on many biological mechanisms and disorders, it can add a new dimension to modeling and aid in the identification of new possible therapeutic targets. Here, we have discussed why the ex vivo organ model is desirable and the importance of the inclusion of organs from diverse species, described its historical aspects, studied organs as models in scientific research, and its ex vivo stability. We also discussed, how an ex vivo organ model might help researchers better understand organ physiology, as well as organ-specific diseases and therapeutic targets. We emphasized how this ex vivo organ dynamics will be more competent than existing models, as well as what tissues or organs would have potentially viable longevity for ex vivo modeling including human tissues, organs, and/or at least biopsies and its possible advantage in clinical medicine including organ transplantation procedure and precision medicine.

Indexed as

Biomedical ResearchModels, BiologicalAnimalsHumansOrgan Culture TechniquesDisease modelingEx vivo whole organ cultureOrgan transplantationRegenerationStem cells

Identifiers

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Registered trials

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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.