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Liposomal tacrolimus lotion as a novel topical agent for treatment of immune-mediated skin disorders: experimental studies in a murine model

2002· article· en· W2049388747 on OpenAlexaff
Mümin Alper Erdoğan, James R. Wright, Vivian C. McAlister

Bibliographic record

VenueBritish Journal of Dermatology · 2002
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicinePsoriasisSystemic administrationPenetration (warfare)Immune systemTacrolimusLiposomePharmacologyImmunologyChemistrySurgeryTransplantationIn vivoBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Systemic but not topical tacrolimus (TAC) is effective against psoriasis. Mechanical methods that enhance skin penetration by TAC increase its topical antipsoriatic effect. Liposomal delivery of TAC would increase its penetration of skin, allow for slow release and diminish its toxicity. OBJECTIVES: To test a liposomal TAC (LTAC) formulation in a murine model. METHODS: Drug penetration was assessed using radiolabelled LTAC, and the effect of TAC and LTAC on Balb/c skin graft survival and on ovalbumin-induced delayed-type hypersensitivity reactions was tested in C57BL/6 mice. RESULTS: Radiotracer studies showed that topical application of LTAC achieved nine times the concentration of TAC at a target site than did systemic administration of TAC. Combination of systemic and topical LTAC significantly increased mean +/- SD skin graft survival (14.8 +/- 1.5 days) compared with systemic TAC (8.0 +/- 0.7 days) and control mice (8.4 +/- 1.2 days). LTAC was more effective systemically than TAC in the prevention of delayed-type hypersensitivity reactions. Topical LTAC also prevented this response. CONCLUSIONS: Topical LTAC was effective in this model of immune-mediated skin disease. Because LTAC achieves higher skin concentrations than systemic TAC it may be an effective delivery system for TAC in the treatment of psoriasis.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.160
GPT teacher head0.445
Teacher spread0.285 · 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

Citations66
Published2002
Admission routes1
Has abstractyes

Explore more

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