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Record W4417153482 · doi:10.1016/j.mtbio.2025.102489

Macrophage targeted cellular microparticles synergize anti-tuberculosis therapy combining CircRNA-mediated host immune defense and antibiotic killing

2025· article· en· W4417153482 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMaterials Today Bio · 2025
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsInstitute of Infection and Immunity
FundersBasic and Applied Basic Research Foundation of Guangdong ProvinceNational Natural Science Foundation of China
KeywordsMacrophageImmune systemMacrophage polarizationIntracellularAutophagyIntracellular parasiteAntibioticsRifampicin

Abstract

fetched live from OpenAlex

Tuberculosis, caused by Mycobacterium tuberculosis (Mtb) infection, remains one of the most deadly infectious diseases worldwide. There is an urgent need for the development of innovative strategies improving the antibiotic efficiency and enhancing host immunological defenses for more effective TB treatment. CircRNA TRAPPC6B (circTRAPPC6B) can enhance autophagy and M1 polarization of Mtb infected macrophages to facilitate intracellular Mtb clearance, arising the promise for more effective anti-TB treatment. Here, we innovated macrophage targeted cellular microparticles encapsulating circTRAPPC6B and rifampicin inside to synergize targeted drug killing and enhanced host immunological clearance, thereby providing more effective anti-TB treatment to optimize therapeutic outcomes. The engineered Gal-CircRNA@Rif@MPs nanosystem showed selective macrophage targeting effects due to galacose surface functionalization and could significantly increase intracellular circTRAPPC6B levels, thereby promoting autophagy and anti-bacterial polarization of Mtb infected macrophages. Collectively, Gal-CircRNA@Rif@MPs demonstrated enhanced intracellular Mtb killing efficiency by synergizing targeted rifampicin action and antibacterial host immune defenses, thus significantly reducing Mtb burdens and alleviating lung tissue pathology in Mtb-infected mice without notable toxicity. Our findings demonstrate, for the first time, that circRNAs with immunomodulatory properties can be effectively combined with anti-TB drugs using cellular microparticles to achieve host cell-targeted Mtb clearance with alleviated pathology and acceptable toxicity profiles. These results introduce the potentials of Gal-CircRNA@Rif@MPs as novel host cell targeted system to synchronize selective antibiotic actions and host immunological defenses for more effective anti-TB treatment, advancing novel therapeutics against TB . Fig.1 Scheme for the preparation of Gal-CircRNA@Rif@MPs and Gal-CircRNA@Rif@MPs-mediated anti-TB therapeutic by combining targeted drug killings, enhanced host cell autophagy/apoptosis and promoted M1 macrophage polarization for more effective anti-TB treatment (By Figdraw). • We innovated macrophage targeted cellular microparticles (Gal-CircRNA@Rif@MPs) encapsulating circTRAPPC6B and rifampicin inside. • Gal-CircRNA@Rif@MPs firstly introduced functional circRNA for anti-TB treatment. • Gal-CircRNA@Rif@MPs can synergize targeted drug killing and enhanced host immunological clearance for more effective TB treatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.271
Teacher spread0.257 · 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