Biomimetic porphyrin-lipid nanoparticles - novel nanoscale theranostics for multimodal imaging and therapy in atherosclerotic cardiovascular disease
Bibliographic record
Abstract
Abstract Background High-density lipoprotein (HDL) mimetic nanoagents have unrealized potential for atherosclerosis theranostics. Porphyrin-lipid HDL mimetic nanoparticles (Por-HDL-NPs) incorporate a porphyrin-lipid conjugate which permits near infrared fluorescence imaging and positron emission tomography (PET) through chelation of Copper-64 (64Cu). The outer shell contains apolipoprotein A-I mimetic peptide R4F designed to interact with scavenger receptor class B type I (SR-BI), enabling macrophage-targeting and therapeutic effects. Purpose To investigate the multimodal imaging, macrophage-targeting and therapeutic properties of Por-HDL-NPs and applications in atherosclerotic cardiovascular disease. Methods In vitro, the cholesterol efflux capacity of PBS (control), reconstituted HDL (rHDL) and Por-HDL-NPs was determined in immortalized bone marrow-derived macrophages (iBMDMs) loaded with [³H]-cholesterol. Real-time quantitative PCR (RT-qPCR) assessed mRNA levels of inflammatory mediators. ELISAs and Western blotting measured changes in protein levels. Apolipoprotein (Apo)e-/- mice were fed high-cholesterol diet (HCD) for 6 weeks, for early-stage plaque, and 13 weeks for the unstable plaque model in which two partial stenoses were made in the right carotid artery. PET and fluorescence (IVIS, flow cytometry, microscopy) imaging identified Por-HDL-NPs in plaques, circulating and aortic cells. Histological techniques assessed plaque area and composition in aortic sinus and carotid artery sections. Results Por-HDL-NPs were internalized by iBMDMs, visualized via fluorescence microscopy and flow cytometry. Por-HDL-NPs increased cholesterol efflux (49%, P<0.05), compared to rHDL. Por-HDL-NPs reduced macrophage mRNA levels of Il-1b (88%), Il-18 (54%) and Ccl5 (75%), and protein secretion of IL-1β (69%) and CCL5 (82%), P<0.05. Por-HDL-NPs suppressed inflammasome components Nlrp3 (69%) and Asc (36%), and activation of inflammatory transcription factor p65-NF-κB (53%), P<0.05. SR-BI siRNA knockdown and methyl-β-cyclodextrin, revealed that the anti-inflammatory properties of Por-HDL-NPs were independent of SR-BI and cholesterol efflux. In Apoe-/- mice, PET imaging showed 64Cu-Por-HDL-NPs localized in hearts and could detect increases in plaque size over time with HCD feeding. Por-HDL-NP fluorescence was detected within aortic sinus and unstable carotid plaques, co-localized with CD68+ macrophages. Por-HDL-NP-treated mice had smaller early-stage (22%) and unstable plaques (52%) than control PBS-treated mice, P<0.05. Por-HDL-NP mice had fewer circulating (32%) and aortic monocytes (81%), and a reduction in aortic arch Rela (26%), P<0.05. Conclusions Por-HDL-NPs present as potential nanoscale theranostics for atherosclerotic cardiovascular disease. Por-HDL-NPs can detect plaques using multiple imaging modalities and exhibit atheroprotective effects.Atherosclerosis imaging with Por-HDL-NPs
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".