Evidence map›Paper›PMID 40281645›Full record

ReviewPharmacology research & perspectives2025

Elucidation of Mechanism of Action in Drug Invention: Using Stable Isotope Tracers to Unravel Biochemical Kinetics.

Rebecca A Kohnz, Dan Zhou, Bin Lou, Huifang Yao, David McKenney, Dhiraj Dokwal, Ruth Villanueva, Heidi Kocalis, Jeanine E Ballard, Jennifer Piesvaux and 1 more

Abstract readReview
In one paragraph

Review in Pharmacology research & perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Rebecca A KohnzMerck & co., Inc., South San Francisco, California, USA.
Dan ZhouMerck & co., Inc., West Point, Pennsylvania, USA.
Bin LouMerck & co., Inc., South San Francisco, California, USA.
Huifang YaoMerck & co., Inc., Rahway, New Jersey, USA.
David McKenneyMerck & co., Inc., South San Francisco, California, USA.
Dhiraj DokwalMerck & co., Inc., South San Francisco, California, USA.
Ruth VillanuevaMerck & co., Inc., South San Francisco, California, USA.
Heidi KocalisMerck & co., Inc., South San Francisco, California, USA.
Jeanine E BallardMerck & co., Inc., West Point, Pennsylvania, USA.
Jennifer PiesvauxMerck & co., Inc., Boston, Massachusetts, USA.
Stephen F PrevisMerck & co., Inc., Rahway, New Jersey, USA.ORCID https://orcid.org/0000-0002-5626-3841

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The invention of a therapeutic begins by characterizing features that differentiate healthy versus diseased states; this often presents as changes in the concentration of an analyte. Examples include elevated blood glucose in diabetes, high cholesterol in heart disease, and protein aggregation in neurodegeneration. Analyte concentrations reflect the (im)balance of synthetic and degradation rates; as such, aberrant biochemical kinetics drive the changes in endpoint concentration that define disease biology. Therapeutics aim to reset the concentration of a disease marker via modulation of biochemical kinetics. This is easy to understand for drugs directly targeting an enzyme in a pathway but, although less obvious, this can also be at the core of protein: protein interactions. For instance, stimulation of the insulin receptor changes the flux of several biochemical substrates (across multiple tissues); similarly, modulation of proprotein convertase subtilisin/kexin type 9-low density lipoprotein (PCSK9-LDL) receptor interactions alters cholesterol trafficking. These classic examples underscore the importance of studying biochemical kinetics at a clinical level. Here, we discuss how kinetic studies link disease biology with mechanism of action elucidation and screening. This has an immediate impact on (i) enabling in vitro-in vivo correlations in early discovery, (ii) enhancing exposure-response models aiding in human dose prediction, and (iii) providing support for biomarker plans, including clinical diagnostics. Mechanism of action studies can also influence modality selection; e.g., knowledge regarding target kinetics is needed when making decisions surrounding the development of a reversible inhibitor vs. an irreversible covalent modifier, or an intervention that affects target levels such as those which enhance protein degradation or reduce protein synthesis.

Indexed as

Drug DiscoveryAnimalsBiomarkersHumansKineticsProprotein Convertase 9Receptors, LDLBiomarkersPCSK9 protein, humanProprotein Convertase 9Receptors, LDLbiochemical pathwaydrug discoveryisotope tracersmass spectrometrymetabolic activityorgan crosstalkpharmacology

Identifiers

PMID40281645
PMCPMC12031654

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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.