Evidence map›Paper›PMID 40974044›Full record

ArticleBiophysical journal2025

Spatiotemporal dynamics of local anesthetic diffusion in nerve revealed by a 2D computational model.

Vladimir Smrkolj, Jakob Kralj, Janez Mavri, Nejc Umek

Abstract read
In one paragraph

Article in Biophysical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

4 authors.

Vladimir SmrkoljInstitute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia; Laboratory of Computational Biochemistry and Drug Design, National Institute of Chemistry, Ljubljana, Slovenia.
Jakob KraljLaboratory of Computational Biochemistry and Drug Design, National Institute of Chemistry, Ljubljana, Slovenia.
Janez MavriLaboratory of Computational Biochemistry and Drug Design, National Institute of Chemistry, Ljubljana, Slovenia.
Nejc UmekInstitute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia. Electronic address: nejc.umek@mf.uni-lj.si.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite their extensive clinical use, the intraneural pharmacokinetics of local anesthetics, including the mechanisms determining their onset and duration, remain incompletely understood, particularly under pathological conditions. We developed a detailed, spatially compartmentalized computational model of human peripheral nerve fascicles to simulate the diffusion, accumulation, and clearance kinetics of lidocaine and bupivacaine under physiological and acidic conditions. The model integrates nerve fiber architecture, extracellular fluid compartments, and capillary-mediated clearance, parameterized using experimentally validated anatomical and physicochemical data. It was implemented in Python 3.12, employing a fourth-order Runge-Kutta integrator via the SciPy library. The results revealed that onset is limited primarily by extracellular diffusion rather than transmembrane transport. Lidocaine reached the predefined onset threshold (≥50% of nerve fibers with ≥50% external concentration) at 8.7 s under physiological pH and 3.2 s under acidic conditions. Bupivacaine exhibited longer onset times, 79.2 s and 16.1 s, respectively. Acidic conditions markedly reduced equilibrium concentrations within nerve fibers (by 3.6-fold for lidocaine, 3.5-fold for bupivacaine), significantly shortening their durations of action (lidocaine: 758 to 233 s; bupivacaine: 6980 to 2059 s). These findings mirror known clinical efficacy reductions in inflamed or acidotic tissues. In conclusion, local anesthetic onset is primarily governed by extracellular diffusion rather than membrane permeability, rendering it largely independent of drug pKa. Local tissue acidosis reduces nerve fiber accumulation and accelerates anesthetic washout, thereby diminishing both efficacy and duration of action. These results explain long-standing clinical observations and suggest that nerve fibers act as kinetic reservoirs modulated by tissue pH. This computational model offers a valuable framework for predicting anesthetic behavior and optimizing drug delivery strategies in regional anesthesia, particularly under pathological conditions such as inflammation.

Indexed as

Anesthetics, LocalComputer SimulationModels, BiologicalModels, NeurologicalBupivacaineDiffusionHumansHydrogen-Ion ConcentrationKineticsLidocaineSpatio-Temporal AnalysisAnesthetics, LocalBupivacaineLidocaine

Identifiers

PMID40974044
PMCPMC12709419

What Socratic holds

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LicenceCC BY
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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 Socratic graph.