Evidence map›Paper›PMID 41459505›Full record

ReviewFrontiers in immunology2025

My cells, my model: immune-competent autologous organ-on-chip systems as a new paradigm in precision medicine.

Francesco Bisconti, Hugo Abreu, Thuy Duong Nguyen, Fabiola Stolfi, Noemi Corbezzolo, Giuseppe Gigli, Davide Raineri, Giuseppe Cappellano, Alessandro Polini, Francesca Gervaso and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

12 authors.

Francesco Bisconti *Institute of Nanotechnology, National Research Council (CNR-NANOTEC), Lecce, Italy.
Hugo Abreu *Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, Novara, Italy.
Thuy Duong NguyenDepartment of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, Novara, Italy.
Fabiola StolfiDepartment of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, Novara, Italy.
Noemi CorbezzoloInstitute of Nanotechnology, National Research Council (CNR-NANOTEC), Lecce, Italy.
Giuseppe GigliInstitute of Nanotechnology, National Research Council (CNR-NANOTEC), Lecce, Italy.
Davide RaineriDepartment of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, Novara, Italy.
Giuseppe CappellanoDepartment of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, Novara, Italy.
Alessandro Polini *Institute of Nanotechnology, National Research Council (CNR-NANOTEC), Lecce, Italy.
Francesca Gervaso *Institute of Nanotechnology, National Research Council (CNR-NANOTEC), Lecce, Italy.
Annalisa Chiocchetti *Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, Novara, Italy.
FLAMIN-GO Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organ-on-chip (OoC) technology aims to replicate key physiological functions of one or more tissues within sophisticated three-dimensional microfluidic platforms. Beyond their engineering advances, OoC systems are increasingly recognized for their potential to bring preclinical research closer to clinical reality, especially when incorporating patient-derived cells. This autologous dimension represents a new frontier, as it enables the faithful modeling of individual immune processes in a physiologically relevant and truly personalized context. Importantly, if the immune system itself is to be incorporated on-chip, the requirement for autologous integration extends to all tissues involved, ensuring consistency and fidelity of patient-specific responses. Academic and industrial efforts have progressively advanced from single-tissue to multi-tissue and multi-organ OoC systems, converging toward autologous OoC (aOoC) platforms that can (i) capture patient-specific immunopathophysiology with higher fidelity, (ii) potentially complement and, in specific contexts, reduce reliance on animal models, and (iii) directly inform immunotherapy development and therapeutic decision-making within precision medicine. In this review, we first summarize the principles and fabrication strategies underlying OoC technology, then trace their evolution toward autologous systems capable of modeling autoimmune diseases and assessing drug efficacy and safety in a translationally relevant manner. Finally, we discuss the current limitations of these platforms and outline the major challenges that must be addressed to advance their translational potential.

Indexed as

Lab-On-A-Chip DevicesPrecision MedicineAnimalsHumansImmune Systemautologous organ-on-chipdisease modellingdrug testingprecision medicinetissue engineering

Identifiers

PMID41459505
PMCPMC12740941

What OpenQuestion 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 OpenQuestion graph.