Evidence map›Paper›PMID 42643769›Full record

ReviewFrontiers in bioengineering and biotechnology2026

Engineering nanoparticles for macrophage reprogramming in chronic inflammatory diseases: current advances, challenges, and future perspectives.

Shreya Bharti, Alexander G Obukhov, Sabahat Zafar, Luciano Saso, Mirza S Baig

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 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

5 authors.

Shreya BhartiMehta Family School of Biosciences and Biomedical Engineering (MFSBSBE), Indian Institute of Technology Indore (IITI), Indore, Madhya Pradesh, India.
Alexander G ObukhovDepartment of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, United States.
Sabahat ZafarDivisional Railway Hospital, Central Railway, Nagpur, Maharashtra, India.
Luciano SasoInstitute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland.
Mirza S BaigMehta Family School of Biosciences and Biomedical Engineering (MFSBSBE), Indian Institute of Technology Indore (IITI), Indore, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation is essential for host defense and tissue repair, yet its dysregulation contributes to the development of numerous chronic diseases. Macrophages play a central role in these processes through their remarkable functional plasticity and ability to adopt pro-inflammatory or pro-resolving states. Nanoparticles have emerged as promising immunomodulatory platforms capable of reprogramming macrophage function through precisely engineered physicochemical properties. This review examines how nanoparticle characteristics, including size, surface charge, surface functionalization, biomimetic coatings, and microenvironment-responsive features, influence macrophage reprogramming across diverse chronic inflammatory diseases. Comparative analysis reveals that successful nanoplatforms frequently target conserved inflammatory pathways, including NF-κB, NLRP3, HIF-1α, and oxidative stress-associated pathways. We further highlight emerging structure-function relationships, translational challenges, and key design principles that can guide the development of next-generation nanotherapeutics aimed at restoring homeostasis in chronic inflammatory diseases.

Indexed as

chronic inflammationimmunomodulationmacrophage reprogrammingnanomedicinenanoparticles

Identifiers

PMID42643769
PMCPMC13504665

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.