Evidence map›Paper›PMID 30671145›Full record

ArticleJournal of circulating biomarkers

Suppression of cathepsin K biomarker in synovial fluid as a free-drug-driven process.

Bennett Ma, Gregg Wesolowski, Bin Luo, Traci Lifsted, Keith Wessner, Gary Adamson, Helmut Glantschnig, Laura S Lubbers

Abstract read
In one paragraph

Article in Journal of circulating biomarkers. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bennett MaDepartment of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., West Point, PA, USA.ORCID https://orcid.org/0000-0002-8494-9875
Gregg WesolowskiDepartment of Bone Biology, Merck & Co., West Point, PA, USA.
Bin LuoDepartment of Pharmacology, Merck & Co., West Point, PA, USA.
Traci LifstedDepartment of Pharmacology, Merck & Co., West Point, PA, USA.
Keith WessnerDepartment of Pharmacology, Merck & Co., West Point, PA, USA.
Gary AdamsonDepartment of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., West Point, PA, USA.
Helmut GlantschnigDepartment of Bone Biology, Merck & Co., West Point, PA, USA.
Laura S LubbersDepartment of Pharmacology, Merck & Co., West Point, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cathepsin K (CatK) inhibitors exhibited chondroprotective and pain-reducing effects in animal models, however, improvements were relatively modest at dose levels achieving maximal suppression of CatK biomarkers in urine. In this report, a previously characterized CatK inhibitor (MK-1256) is utilized to explore the potential of reduced target engagement and/or suboptimal exposure (free drug) as limiting factors to the pharmacological potential of CatK inhibitors in the knee joint. Following oral administration of MK-1256 at a dose level achieving maximal inhibition of urinary biomarker (helical peptide) in dogs, full suppression of the biomarker in synovial fluid was observed. Subsequent tissue distribution studies conducted in dogs and rabbits revealed that MK-1256 levels in synovial fluid and cartilage were consistent with the free-drug hypothesis. Reasonable projection (within twofold) of drug levels in these tissues can be made based on plasma drug concentration with adjustments for binding factors. These results indicate that the previously observed efficacies in the animal models were not limited by compound distribution or target engagement in the knee tissues.

Indexed as

cartilageCathepsin KMK-1256osteoarthritissynovial fluid

Identifiers

PMID30671145
PMCPMC6327326

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.