Evidence map›Paper›PMID 42599347›Full record

ReviewMolecular biology reports2026

Induced pluripotent stem cell-derived macrophages (iMacs) in translational medicine: Disease models, drug testing, and therapeutic applications.

Tara Nur Amalina, Haydar Alsagaff, Sabrina Lazimmatus Sofa, Shofiyah Shofiyah, Bunga Fadhilah Sunaryo, Keila Lova, Achmad Zakky, Hernawan Febrianto, Rizal Azis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 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

9 authors.

Tara Nur AmalinaCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia.
Haydar AlsagaffCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia.
Sabrina Lazimmatus SofaCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia.
Shofiyah ShofiyahCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia.
Bunga Fadhilah SunaryoCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia.
Keila LovaCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia.
Achmad ZakkyCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia.
Hernawan FebriantoCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia.
Rizal AzisCellular and Regenerative Engineering (CARE) Lab, Biomedical Engineering, Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16425, West Java, Indonesia. rizal@eng.ui.ac.id.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophages play key roles in innate immunity, inflammation, and homeostasis. However, conventional macrophage models, particularly primary macrophages derived from donor monocytes (MDMs), are limited by donor-to-donor variability, limited proliferative capacity and non-renewable nature, low scalability, and poor genetic tractability. Induced pluripotent stem cell-derived macrophages (iMacs) have emerged as an alternative that offers a renewable source of engineered human macrophages. This review summarizes the approaches used to generate and characterize iMacs, highlighting their functional properties such as phagocytosis, efferocytosis, cytokine secretion, lipid metabolism, and macrophage polarization. We then focus on translational applications of iMacs in three important areas: (i) disease modeling, where iMacs enable large-scale production, precise genetic modification, and accurately mimic host-pathogen interactions, autoimmune phenotypes, metabolic inflammation, and tissue-specific macrophage functions; (ii) drug discovery, where the combination of large-scale production and assay miniaturization allows high-content and high-throughput screening with increased physiological accuracy over immortalized cell lines; and (iii) therapeutics, which comprise engineered iMac-based therapies and novel cell therapy approaches for various infectious, genetic, and inflammatory diseases. Finally, we discuss current challenges and opportunities in developing iMacs toward clinical applications. Overall, iMacs are a versatile bridge between mechanistic immunology and next-generation translational medicine.

Indexed as

Induced Pluripotent Stem CellsMacrophagesTranslational Research, BiomedicalAnimalsCell DifferentiationDrug DiscoveryDrug Evaluation, PreclinicalEfferocytosisHumansInflammationPhagocytosisDisease ModelsDrug TestingInduced Pluripotent Stem Cells (iPSCs)MacrophagesTherapeutic Applications

Identifiers

PMID42599347

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.