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Targeting macrophages with biomass-derived nanoparticles for enhanced anti-inflammatory effects of curcuminoids

2025· article· en· W4411879821 on OpenAlexaffabout
Bienvenue C. Habiyambere, Anirban Ghosh, Ashley L. Eadie, Victoria L. Nelson, Keith R. Brunt

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsNanoparticleBiomass (ecology)ChemistryMacrophageInflammationNanotechnologyImmunologyMedicineBiochemistryBiologyIn vitroMaterials scienceEcology

Abstract

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Introduction: Plants naturally synthesize nanoparticles to transport cellular materials that contain potential active pharmaceutical ingredients (APIs). Curcuminoids, including curcumin (the most abundant), demethoxycurcumin, and bisdemethoxycurcumin, are the primary active pharmaceutical ingredients (APIs) in turmeric root (from the Curcuma longa plant), a traditional medicine with antioxidative and anti-inflammatory effects. Numerous chronic diseases are associated with elevated oxidative stress and inflammation, centring around macrophage biology. Nano-encapsulation of curcumin can improve its stability, solubility and bioavailability to target highly phagocytic macrophages and exert anti-inflammatory effects by induction of cytoprotective heme-oxygenase-1 (HMOX1) and attenuation of inflammatory cytokine release (IFN-α, IL-6, TNF-α). Hypothesis: Turmeric root extruded nanoparticle curcumin (PVDL-005) will elicit greater direct antioxidative and/or indirect cytoprotective effects via curcumin-mediated HMOX1 induction and attenuation of inflammatory cytokine release (IFN-α, IL-6, TNF-α) in human macrophages compared to a molar equivalent amount of curcumin. Methods: Hydrodynamic size and zeta-potential surface charge of PVDL-005 were performed with Malvern dynamic light scattering for routine QAC; electron microscopy and Ultra Performance Liquid Chromatography (UPLC) confirmed nanoparticle size and shape, with API content (described as total curcuminoids), respectively. Ferric Reducing Antioxidant Power (FRAP) assay measured total antioxidant capacity and resazurin viability assay to measure LD 50 . To examine and compare PVDL-005 and soluble curcumin effects on macrophages, we used the THP-1 human monocyte cell lines differentiated into human macrophages. Western Blot measured HMOX1 expression levels. Confocal microscopy showed nanoparticle intracellular localization, and flow cytometry measured the uptake-internalization kinetics of PVDL-005 and soluble curcumin. Macrophages were pre-treated with PVDL-005 or soluble curcumin followed by LPS and inflammatory cytokines, and then ELISA and qPCR were used to measure the cytokine levels and expression. Results: PVDL-005 is spherical, with a size and surface charge of 177 nm and -0.189 mV, respectively. UPLC showed that the total curcuminoid concentration of formulated PVDL-005 and soluble curcumin was [2031µM] and [1570µM], respectively. PVDL-005 had a slight LD 50 ([10.3µM]) safety advantage over soluble curcumin ([6.9µM]), exhibited similar direct antioxidant activity by FRAP assay and induced HMOX1 expression. PVDL-005 [5µM] eq was internalized by macrophages with more significant and rapid uptake than soluble curcumin over 24hrs. Pre-treatment of macrophages with [5µM] eq PVDL-005 or [5µM] curcumin for 0.5hr followed by LPS exposure for 4hr show PVDL-005 attenuated inflammatory IFN-α levels more than soluble curcumin. Conclusion: Harnessing natural extrusion nanoformulation could enhance the stability and intrinsic properties of API by nano-encapsulation for safe augmented cell-targeted drug delivery. NSERC, Mitacs, Pividl Inc., Dalhousie Medical Research Foundation This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.241
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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