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Record W2009707816 · doi:10.1186/ar4620

Targeted delivery of PGE2 ameliorates autoimmune nephritis

2014· article· en· W2009707816 on OpenAlexfundno aff
Nino Kvirkvelia, Maggie McMenaminn, Michael P. Madaio

Bibliographic record

VenueArthritis Research & Therapy · 2014
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health ResearchNational Institutes of HealthLupus Research AllianceCanadian Arthritis NetworkNational Institute of Arthritis and Musculoskeletal and Skin DiseasesArthritis SocietyCentral New York Community FoundationMerck KGaALupus Foundation of America
KeywordsRheumatologyMedicineInternal medicineNephritisLupus nephritisImmunologyDisease

Abstract

fetched live from OpenAlex

In SLE, pathogenic mechanisms responsible for immune activation, immune deposit formation, cell infiltration and organ damage are complex and variable. However, immune cells and their products contribute to the nature and intensity of organ involvement as well as the host's response to therapy. In many respects, renal involvement is a microcosm of systemic disease, with variable glomerulonephritis, interstitial nephritis and vasculitis. Both systemic autoimmune and renal cellular responses influence individual disease phenotype. Nevertheless, antigenic specificity determines local events, in particular where immune deposits form. Direct binding of autoantibodies to glomerular antigens is particularly relevant, and the site of complex formation, along with the capacity of deposited Ig to engage FcR and activate complement play important roles in disease expression. Cellular infiltration (for example, T cells, B cells, macrophages) and the renal cellular response to these events are also important and influential. For the most part, therapy is systemic and directed at controlling inflammation and autoimmunity, rationalizing that limiting autoreactivity and inflammatory cell infiltration will control disease. Although this approach is somewhat efficacious, it has limitations. Thus, we reasoned that in some circumstances, targeted therapy could provide advantage of better ongoing disease in a given organ, while sparing systemic side effects. To approach this problem, we postulated that human monoclonal anti-α3(IV) antibodies (Ab) that localize in glomeruli could serve as vehicles for targeted drug delivery for glomerular diseases, including lupus nephritis. As a potential disease-modifying agent, we took advantage of recent observations that PGE 2 enhanced renal cellular recovery and regeneration after established immunologic injury during the course of nephrotoxic nephritis (NTN). To enhance efficacy and limit undesirable systemic effects and target the kidney, PGE 2 was coupled to a human monoclonal anti-α3(IV) Ab. Given enhanced glomerular expression of α3(IV), with very limited epitope exposure in other organs, it provides an ideal target for delivery of glomerular disease modifying agents. Therefore, PGE 2 was chemically linked to human anti-α3(IV) Ab. Chemical composition of conjugates was assessed by western blotting, and preserved anti-α3(IV) activity was confirmed by ELISA. Initially, glomerular localization of the anti-α3(IV) Ab-PGE 2 conjugates was determined after injection in normal mice (IF). Once confirmed, the capacity of the conjugates to modify disease was determined during established NTN. Proteinuria, BUN levels and histology normalized in PGE 2 conjugate-treated mice, as compared with untreated mice or mice treated with an equivalent dose of PGE 2 alone. The results provide a novel means of targeting glomeruli during systemic disease, by providing efficient drug delivery, while limiting systemic effects.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.324
Teacher spread0.292 · 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.

Study designOther design
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
Published2014
Admission routes1
Has abstractyes

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