Evidence map›Paper›PMID 41826588›Full record

ArticlePharmaceutical research2026

Evaluation of sNfL as a Biomarker for Paclitaxel-Induced Peripheral Neurotoxicity Through an Integrated PKPD Model.

Eman I K Ibrahim, Milda Girdenyté, Yang Hu, Lorenzo Di Cesare Mannelli, David Balayssac, Jérôme Busserolles, Diethilde Theil, Gautier Roussignol, Olivier Perrault, Nathalie Le Berre and 4 more

Abstract read
In one paragraph

Article in Pharmaceutical research, 2026. 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
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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

14 authors.

Eman I K IbrahimDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Milda GirdenytéDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Yang HuDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Lorenzo Di Cesare MannelliDepartment of Neuroscience, Psychology, Drug Research and Child Health - Neurofarba - Section of Pharmacology and Toxicology, University of Florence, Florence, Italy.
David BalayssacDirection de La Recherche Clinique Et de L'Innovation, Université Clermont Auvergne, INSERM, NEURO-DOL, CHU Clermont-Ferrand, Clermont-Ferrand, U1107, France.
Jérôme BusserollesUniversité Clermont Auvergne, INSERM, NEURO-DOL, Clermont-Ferrand, U1107, France.
Diethilde TheilNovartis Institutes for Biomedical Research, Cambridge, MA, USA.
Gautier RoussignolPreclinical Safety, Sanofi, R&D, Montpellier, France.
Olivier PerraultPreclinical Safety, Sanofi, R&D, Montpellier, France.
Nathalie Le BerrePreclinical Safety, Sanofi, R&D, Montpellier, France.
Franck ChanutPreclinical Safety, Sanofi, R&D, Chilly Mazarin & Vitry, France.
Mohamed SlaouiPreclinical Safety, Sanofi, R&D, Vitry, France.
Irena LoryanDepartment of Pharmacy, Uppsala University, Uppsala, Sweden. irena.loryan@uu.se.ORCID http://orcid.org/0000-0002-1557-4416
Lena E FribergDepartment of Pharmacy, Uppsala University, Uppsala, Sweden. lena.friberg@uu.se.

Funding

Cancerfonden 23 2921Innovative Medicines Initiative 821528Vetenskapsrådet VR 2022- 01098
6 · The paper itself

Abstract

backgroundSerum neurofilament light chain (sNfL), a biomarker of axonal damage, has shown promise in clinical studies for monitoring paclitaxel-induced peripheral neurotoxicity (PIPN). The latter involves pathological changes in PIPN sites such as the dorsal root ganglia, peripheral nerves, and brain. However, the mechanistic link between paclitaxel and NfL concentrations in these tissues remains poorly understood, necessitating preclinical investigation.

methodsWe developed a semi-mechanistic pharmacokinetic-pharmacodynamic model to characterize: (i) total and unbound paclitaxel concentrations in plasma, as well as in extracellular and intracellular compartments of PIPN sites; (ii) paclitaxel-tubulin complex formation; and (iii) NfL kinetics. The model was built using de novo-generated and previously reported data from rodents.

resultsPlasma pharmacokinetics of paclitaxel was captured using a two-compartment model, including Cremophor EL trapping and nonlinear tissue distribution. Paclitaxel pharmacokinetics in PIPN sites incorporated paclitaxel transport across the blood-to-PIPN sites barriers and paclitaxel-tubulin binding, described by capacity-limited kinetics with increased tubulin binding upon repeated plasma exposure. NfL kinetics in serum and cerebrospinal fluid were described using turnover models, with NfL leakage driven by paclitaxel-tubulin complex formation in PIPN sites. The model robustly predicted paclitaxel exposure across multiple doses and studies. While NfL predictions aligned with single-dose data, the model slightly underpredicted sNfL levels in an external validation dataset after repeated dosing of paclitaxel at 15 mg/kg, suggesting additional mechanisms may be involved.

conclusionsOverall, the model successfully described the relationship between paclitaxel exposure and sNfL kinetics, offering a model-based framework for translational studies.

Indexed as

Antineoplastic Agents, PhytogenicModels, BiologicalNeurofilament ProteinsNeurotoxicity SyndromesPaclitaxelPeripheral Nervous System DiseasesAnimalsBiomarkersHumansMaleTissue DistributionTubulinAntineoplastic Agents, PhytogenicBiomarkersNeurofilament ProteinsPaclitaxelTubulinbraindorsal root gangliamodelling & simulationpaclitaxel-induced peripheral neurotoxicity (PIPN)peripheral nervespharmacokinetic-pharmacodynamic (PKPD) modelPIPN sitesserum neurofilament light chain (sNfL)tubulin bindingunbound (free) paclitaxel

Identifiers

PMID41826588
PMCPMC13179264

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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.