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A Novel Non-Competitive Chemical Proteasome Inhibitor Displays Preclinical Activity in Myeloma and Leukemia.

2008· article· en· W2574761789 on OpenAlexaff
Xiaoming Li, Tabitha E. Wood, Remco Sprangers, Xinliang Mao, Xiaoming Wang, Yi Zhang, David R. Rose, Robert A. Batey, Aaron D. Schimmer

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer Centre
Fundersnot available
KeywordsProteasomeMG132Proteasome inhibitorBiochemistryEnzymeChemistryMechanism of actionProteolysisBortezomibBiologyMolecular biologyMultiple myelomaIn vitroImmunology

Abstract

fetched live from OpenAlex

Abstract The proteasome is an enzymatic complex that rids cells of excess and misfolded proteins and possesses chymotrypin, trypsin, and caspase-like enzymatic activity. To date, all of the proteasome inhibitors approved for clinical use or in clinical trials inhibit the complex competitively by binding the active sites of the enzymes. Here, we report a novel chemical proteasome inhibitor that binds the alpha subunits of the 20S proteasome and inhibits the complex non-competitively through a dual copper-dependent and independent mechanism. In a screen of a focused chemical library for novel proteasome inhibitors, we identified 5-amino-8-hydroxyquinoline (5AHQ). When added to myeloma or leukemia intact cells or cell extracts, 5AHQ inhibited the enzymatic activity of the proteasome at low micromolar concentrations. In order to obtain further insight into the mechanism of action of 5AHQ, we carried out a kinetic analysis of inhibition of the enzymatic activity of purified T. Acidophilium proteasome. By Lineweaver-Burk plot analysis, 5AHQ inhibited the proteasome non-competitively. Next, we investigated the binding of 5AHQ to the proteasome. By NMR analysis, 5AHQ bound the half-proteasome complex comprised of a pair of α-rings, α7-α7, and clear spectral changes were observed that localized to residues Ile159, Val113, Val87, Val82, Leu112, Val89, Val134, Val24 and Leu136 inside the antechamber. In contrast, the competitive inhibitor MG132 that binds the proteolytic chamber did not produce any changes in spectra of α7-α7, as expected. 5AHQ bound copper in a 2:1 stoichiometry with a logβ′ value of 9.09, and the addition of copper to 5AHQ enhanced 5AHQ-mediated inhibition of the proteasome. However, binding intracellular copper was not sufficient to explain the effects of 5AHQ on the proteasome as analogues of 5AHQ that did not bind copper continued to inhibit the proteasome, copper-binding molecules not structurally related to 5AHQ did not affect the proteasome, and 5AHQ inhibited isolated proteasomes in buffers devoid of copper and other heavy metals. Given the effects of 5AHQ on the proteasome, we examined the effects of this molecule on the viability of leukemia and myeloma cell lines. Leukemia, myeloma and solid tumor cell lines were treated with increasing concentrations of 5AHQ for 72 hours and cell viability was measured by the MTS assay. 5AHQ induced cell death in 9/9 myeloma, 6/10 leukemia, and 3/10 solid tumor cell lines with an LD50 ≤5 uM. Cell death was confirmed by Annexin V staining. Consistent with its mechanism of action as a proteasome inhibitor, the ability of 5AHQ to induce cell death matched its ability to inhibit the proteasome. In addition, 5AHQ-mediated cell death was associated with inhibition of the NF-kappaB signalling pathway. As 5AHQ induced cell death in malignant cells, we evaluated the effects of oral 5AHQ in 3 mouse models of leukemia. Sublethally irradiated NOD-SCID mice were injected subcutaneously with OCI-AML2 or K562 human leukemia cells or intraperitoneally with MDAY-D2 murine leukemia cells. After tumor implantation, mice were treated with 5AHQ (50 mg/kg/day) or buffer control by oral gavage. Oral 5AHQ decreased tumor weight and volume in all 3 mouse models compared to control without causing weight loss or gross organ toxicity. In summary, we have identified a new strategy for inhibition of the proteasome and a lead for a new therapeutic agent for the treatment of hematologic malignancies.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.017
GPT teacher head0.250
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), 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
Published2008
Admission routes1
Has abstractyes

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